diff --git a/sigap-website/app/_utils/const/regex.ts b/sigap-website/app/_utils/const/regex.ts
index 69ebd83..76c90c6 100644
--- a/sigap-website/app/_utils/const/regex.ts
+++ b/sigap-website/app/_utils/const/regex.ts
@@ -1,4 +1,6 @@
 export class CRegex {
     static readonly PHONE_REGEX = /^(\+62|62|0)[8][1-9][0-9]{6,11}$/;
     static readonly BAN_DURATION_REGEX = /^(\d+(ns|us|µs|ms|s|m|h)|none)$/;
-}
\ No newline at end of file
+    static readonly CR_YEAR_SEQUENCE = /(\d{4})(?=-\d{4}$)/;
+    static readonly CR_SEQUENCE_END = /(\d{4})$/;
+}
diff --git a/sigap-website/prisma/data/excels/crimes/crime_incident_monthly_by_type_detailed.csv b/sigap-website/prisma/data/excels/crimes/crime_incident_monthly_by_type_detailed.csv
index 739b5ca..48efb12 100644
--- a/sigap-website/prisma/data/excels/crimes/crime_incident_monthly_by_type_detailed.csv
+++ b/sigap-website/prisma/data/excels/crimes/crime_incident_monthly_by_type_detailed.csv
@@ -1,1861 +1,1861 @@
-city_id,city_name,district_id,district_name,number_of_unemployed,population_density,crime_total,crime_cleared,month,year,TERHADAP KETERTIBAN UMUM_crimes,TERHADAP KETERTIBAN UMUM_cleared,MEMBAHAYAKAN KAM UMUM_crimes,MEMBAHAYAKAN KAM UMUM_cleared,PEMBAKARAN_crimes,PEMBAKARAN_cleared,KEBAKARAN / MELETUS_crimes,KEBAKARAN / MELETUS_cleared,MEMBER SUAP_crimes,MEMBER SUAP_cleared,SUMPAH PALSU_crimes,SUMPAH PALSU_cleared,PEMALSUAN MATERAI_crimes,PEMALSUAN MATERAI_cleared,PEMALSUAN SURAT_crimes,PEMALSUAN SURAT_cleared,PERZINAHAN_crimes,PERZINAHAN_cleared,PERKOSAAN_crimes,PERKOSAAN_cleared,PERJUDIAN_crimes,PERJUDIAN_cleared,PENGHINAAN_crimes,PENGHINAAN_cleared,PENCULIKAN_crimes,PENCULIKAN_cleared,PERBUATAN TIDAK MENYENANGKAN_crimes,PERBUATAN TIDAK MENYENANGKAN_cleared,PEMBUNUHAN_crimes,PEMBUNUHAN_cleared,PENGANIAYAAN RINGAN_crimes,PENGANIAYAAN RINGAN_cleared,PENGANIAYAAN BERAT_crimes,PENGANIAYAAN BERAT_cleared,KELALAIAN AKIBATKAN ORANG MATI_crimes,KELALAIAN AKIBATKAN ORANG MATI_cleared,KELALAIAN AKIBATKAN ORANG LUKA_crimes,KELALAIAN AKIBATKAN ORANG LUKA_cleared,PENCURIAN BIASA_crimes,PENCURIAN BIASA_cleared,CURAT_crimes,CURAT_cleared,CURINGAN_crimes,CURINGAN_cleared,CURAS_crimes,CURAS_cleared,CURANMOR_crimes,CURANMOR_cleared,PENGEROYOKAN_crimes,PENGEROYOKAN_cleared,PREMANISME_crimes,PREMANISME_cleared,PEMERASAN DAN PENGANCAMAN_crimes,PEMERASAN DAN PENGANCAMAN_cleared,PENGGELAPAN_crimes,PENGGELAPAN_cleared,PENIPUAN_crimes,PENIPUAN_cleared,PENGRUSAKAN_crimes,PENGRUSAKAN_cleared,KENAKALAN REMAJA_crimes,KENAKALAN REMAJA_cleared,MENERIMA SUAP_crimes,MENERIMA SUAP_cleared,PENADAHAN_crimes,PENADAHAN_cleared,PEKERJAKAN ANAK_crimes,PEKERJAKAN ANAK_cleared,AGRARIA_crimes,AGRARIA_cleared,PERADILAN ANAK_crimes,PERADILAN ANAK_cleared,PERLINDUNGAN ANAK_crimes,PERLINDUNGAN ANAK_cleared,PKDRT_crimes,PKDRT_cleared,PERLINDUNGAN TKI_crimes,PERLINDUNGAN TKI_cleared,PERLINDUNGAN SAKSI � KORBAN_crimes,PERLINDUNGAN SAKSI � KORBAN_cleared,PTPPO_crimes,PTPPO_cleared,PORNOGRAFI_crimes,PORNOGRAFI_cleared,SISTEM PERADILAN ANAK_crimes,SISTEM PERADILAN ANAK_cleared,PENYELENGGARAN PEMILU_crimes,PENYELENGGARAN PEMILU_cleared,PEMERINTAH DAERAH_crimes,PEMERINTAH DAERAH_cleared,KEIMIGRASIAN_crimes,KEIMIGRASIAN_cleared,EKSTRADISI_crimes,EKSTRADISI_cleared,LAHGUN SENPI/HANDAK/SAJAM_crimes,LAHGUN SENPI/HANDAK/SAJAM_cleared,MONEY LOUDERING_crimes,MONEY LOUDERING_cleared,TRAFICKING IN PERSON_crimes,TRAFICKING IN PERSON_cleared,SELUNDUP SENPI_crimes,SELUNDUP SENPI_cleared,TRANS ECONOMI CRIME_crimes,TRANS ECONOMI CRIME_cleared,ILLEGAL LOGGING_crimes,ILLEGAL LOGGING_cleared,ILLEGAL MINING_crimes,ILLEGAL MINING_cleared,ILLEGAL FISHING_crimes,ILLEGAL FISHING_cleared,BBM ILLEGAL_crimes,BBM ILLEGAL_cleared,NIAGA PUPUK_crimes,NIAGA PUPUK_cleared,ITE_crimes,ITE_cleared,UPAL_crimes,UPAL_cleared,FIDUSIA_crimes,FIDUSIA_cleared,KORUPSI_crimes,KORUPSI_cleared,PIDUM LAINNYA_crimes,PIDUM LAINNYA_cleared,PIDTER LAINNYA_crimes,PIDTER LAINNYA_cleared,SATWA_crimes,SATWA_cleared,PERLINDUNGAN KONSUMEN_crimes,PERLINDUNGAN KONSUMEN_cleared,KONFLIK ETNIS_crimes,KONFLIK ETNIS_cleared,SEPARATISME_crimes,SEPARATISME_cleared
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diff --git a/sigap-website/prisma/data/excels/crimes/crime_monthly_by_type.csv b/sigap-website/prisma/data/excels/crimes/crime_monthly_by_type.csv
index 44cbe21..5babc29 100644
--- a/sigap-website/prisma/data/excels/crimes/crime_monthly_by_type.csv
+++ b/sigap-website/prisma/data/excels/crimes/crime_monthly_by_type.csv
@@ -1,1861 +1,2016 @@
 district_id,district_name,number_of_crime,crime_cleared,level,score,method,month_num,year
 350901,Jombang,0,0,low,100,kmeans,1,2020
-350901,Jombang,0,0,low,100,kmeans,2,2022
-350901,Jombang,0,0,low,100,kmeans,1,2022
+350901,Jombang,2,2,low,99,kmeans,2,2020
 350901,Jombang,2,2,low,99,kmeans,3,2020
-350901,Jombang,0,0,low,100,kmeans,11,2024
-350901,Jombang,0,0,low,100,kmeans,3,2022
-350901,Jombang,1,1,low,100,kmeans,9,2023
-350901,Jombang,1,1,low,100,kmeans,1,2023
-350901,Jombang,0,0,low,100,kmeans,8,2021
-350901,Jombang,1,1,low,100,kmeans,11,2020
-350901,Jombang,0,0,low,100,kmeans,11,2023
-350901,Jombang,0,0,low,100,kmeans,10,2020
-350901,Jombang,0,0,low,100,kmeans,8,2024
-350901,Jombang,0,0,low,100,kmeans,12,2020
-350901,Jombang,1,1,low,100,kmeans,7,2021
-350901,Jombang,0,0,low,100,kmeans,7,2022
-350901,Jombang,0,0,low,100,kmeans,6,2022
-350901,Jombang,0,0,low,100,kmeans,9,2021
-350901,Jombang,1,1,low,100,kmeans,9,2024
-350901,Jombang,0,0,low,100,kmeans,2,2023
-350901,Jombang,0,0,low,100,kmeans,5,2024
-350901,Jombang,1,1,low,100,kmeans,10,2022
-350901,Jombang,4,4,low,98,kmeans,4,2021
-350901,Jombang,2,2,low,99,kmeans,1,2021
-350901,Jombang,0,0,low,100,kmeans,7,2024
-350901,Jombang,0,0,low,100,kmeans,3,2023
-350901,Jombang,0,0,low,100,kmeans,9,2020
-350901,Jombang,1,1,low,100,kmeans,5,2022
-350901,Jombang,1,1,low,100,kmeans,8,2020
-350901,Jombang,0,0,low,100,kmeans,12,2022
-350901,Jombang,0,0,low,100,kmeans,10,2021
-350901,Jombang,1,1,low,100,kmeans,10,2023
-350901,Jombang,2,2,low,99,kmeans,7,2020
-350901,Jombang,0,0,low,100,kmeans,4,2023
-350901,Jombang,0,0,low,100,kmeans,5,2023
-350901,Jombang,2,2,low,99,kmeans,11,2021
-350901,Jombang,1,1,low,100,kmeans,11,2022
-350901,Jombang,0,0,low,100,kmeans,8,2022
-350901,Jombang,0,0,low,100,kmeans,6,2021
-350901,Jombang,0,0,low,100,kmeans,7,2023
-350901,Jombang,4,4,low,98,kmeans,12,2021
-350901,Jombang,0,0,low,100,kmeans,12,2023
-350901,Jombang,2,2,low,99,kmeans,5,2021
-350901,Jombang,4,4,low,98,kmeans,3,2021
-350901,Jombang,1,0,low,100,kmeans,6,2020
-350901,Jombang,1,1,low,100,kmeans,10,2024
-350901,Jombang,0,0,low,100,kmeans,4,2024
-350901,Jombang,0,0,low,100,kmeans,4,2022
-350901,Jombang,0,0,low,100,kmeans,2,2024
-350901,Jombang,0,0,low,100,kmeans,2,2021
-350901,Jombang,0,0,low,100,kmeans,6,2023
 350901,Jombang,0,1,low,100,kmeans,4,2020
 350901,Jombang,1,1,low,100,kmeans,5,2020
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-350910,Balung,8,8,medium,95,kmeans,5,2023
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-350910,Balung,17,14,medium,88,kmeans,4,2021
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-350910,Balung,4,4,medium,98,kmeans,8,2023
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-350910,Balung,15,10,medium,90,kmeans,2,2020
-350911,Wuluhan,2,3,medium,99,kmeans,1,2024
-350911,Wuluhan,4,3,medium,98,kmeans,12,2024
-350911,Wuluhan,2,3,medium,99,kmeans,9,2023
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+350910,Balung,19,7,medium,87,kmeans,2,2025
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-350911,Wuluhan,6,6,medium,96,kmeans,4,2021
-350911,Wuluhan,2,2,medium,99,kmeans,4,2022
-350911,Wuluhan,5,4,medium,97,kmeans,4,2020
-350911,Wuluhan,4,4,medium,98,kmeans,9,2021
-350911,Wuluhan,7,6,medium,95,kmeans,3,2023
-350911,Wuluhan,6,5,medium,96,kmeans,5,2023
-350911,Wuluhan,12,12,medium,92,kmeans,5,2022
-350911,Wuluhan,5,4,medium,97,kmeans,10,2020
-350911,Wuluhan,3,3,medium,98,kmeans,9,2024
-350911,Wuluhan,5,4,medium,97,kmeans,7,2020
-350911,Wuluhan,9,8,medium,94,kmeans,11,2021
-350911,Wuluhan,11,8,medium,93,kmeans,11,2020
-350911,Wuluhan,8,5,medium,95,kmeans,8,2021
-350911,Wuluhan,2,2,medium,99,kmeans,7,2022
-350911,Wuluhan,7,5,medium,95,kmeans,12,2020
-350911,Wuluhan,16,12,medium,89,kmeans,12,2023
-350911,Wuluhan,2,2,medium,99,kmeans,2,2023
-350911,Wuluhan,4,3,medium,98,kmeans,6,2020
-350911,Wuluhan,4,4,medium,98,kmeans,6,2023
-350911,Wuluhan,12,10,medium,92,kmeans,6,2024
-350911,Wuluhan,5,4,medium,97,kmeans,10,2023
-350911,Wuluhan,2,2,medium,99,kmeans,1,2023
-350911,Wuluhan,2,2,medium,99,kmeans,8,2024
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-350911,Wuluhan,17,11,medium,88,kmeans,7,2023
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-350911,Wuluhan,10,9,medium,93,kmeans,5,2020
-350911,Wuluhan,2,2,medium,99,kmeans,4,2024
-350911,Wuluhan,12,9,medium,92,kmeans,12,2021
-350911,Wuluhan,7,7,medium,95,kmeans,11,2022
-350911,Wuluhan,13,9,medium,91,kmeans,3,2021
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-350911,Wuluhan,2,2,medium,99,kmeans,7,2024
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-350911,Wuluhan,2,2,medium,99,kmeans,3,2022
-350911,Wuluhan,5,5,medium,97,kmeans,1,2022
-350911,Wuluhan,30,23,medium,79,kmeans,6,2021
-350911,Wuluhan,8,7,medium,95,kmeans,8,2023
-350911,Wuluhan,10,9,medium,93,kmeans,9,2022
-350911,Wuluhan,1,1,medium,100,kmeans,11,2024
-350911,Wuluhan,2,2,medium,99,kmeans,4,2023
-350911,Wuluhan,5,4,medium,97,kmeans,9,2020
-350911,Wuluhan,11,8,medium,93,kmeans,10,2021
-350911,Wuluhan,6,6,medium,96,kmeans,6,2022
-350911,Wuluhan,6,6,medium,96,kmeans,5,2024
-350911,Wuluhan,20,14,medium,86,kmeans,3,2024
-350911,Wuluhan,8,7,medium,95,kmeans,10,2024
-350911,Wuluhan,13,12,medium,91,kmeans,11,2023
-350911,Wuluhan,16,12,medium,89,kmeans,2,2022
-350911,Wuluhan,3,3,medium,98,kmeans,10,2022
+350911,Wuluhan,5,4,medium,97,kmeans,4,2020
+350911,Wuluhan,10,9,medium,93,kmeans,5,2020
+350911,Wuluhan,4,3,medium,98,kmeans,6,2020
+350911,Wuluhan,5,4,medium,97,kmeans,7,2020
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+350911,Wuluhan,5,4,medium,97,kmeans,9,2020
+350911,Wuluhan,5,4,medium,97,kmeans,10,2020
+350911,Wuluhan,11,8,medium,93,kmeans,11,2020
+350911,Wuluhan,7,5,medium,95,kmeans,12,2020
+350911,Wuluhan,4,4,medium,98,kmeans,1,2021
+350911,Wuluhan,6,6,medium,96,kmeans,2,2021
+350911,Wuluhan,13,9,medium,91,kmeans,3,2021
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-350912,Ambulu,2,2,medium,99,kmeans,12,2024
+350911,Wuluhan,30,23,medium,79,kmeans,6,2021
+350911,Wuluhan,12,8,medium,92,kmeans,7,2021
+350911,Wuluhan,8,5,medium,95,kmeans,8,2021
+350911,Wuluhan,4,4,medium,98,kmeans,9,2021
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+350911,Wuluhan,2,2,medium,99,kmeans,7,2022
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+350911,Wuluhan,10,9,medium,93,kmeans,9,2022
+350911,Wuluhan,3,3,medium,98,kmeans,10,2022
+350911,Wuluhan,7,7,medium,95,kmeans,11,2022
+350911,Wuluhan,3,3,medium,98,kmeans,12,2022
+350911,Wuluhan,2,2,medium,99,kmeans,1,2023
+350911,Wuluhan,2,2,medium,99,kmeans,2,2023
+350911,Wuluhan,7,6,medium,95,kmeans,3,2023
+350911,Wuluhan,2,2,medium,99,kmeans,4,2023
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+350911,Wuluhan,4,4,medium,98,kmeans,6,2023
+350911,Wuluhan,17,11,medium,88,kmeans,7,2023
+350911,Wuluhan,8,7,medium,95,kmeans,8,2023
+350911,Wuluhan,2,3,medium,99,kmeans,9,2023
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+350911,Wuluhan,13,12,medium,91,kmeans,11,2023
+350911,Wuluhan,16,12,medium,89,kmeans,12,2023
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+350911,Wuluhan,0,0,low,100,kmeans,1,2025
+350911,Wuluhan,18,15,medium,88,kmeans,2,2025
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+350911,Wuluhan,8,2,medium,95,kmeans,4,2025
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 350912,Ambulu,8,7,medium,95,kmeans,1,2020
-350912,Ambulu,5,5,medium,97,kmeans,10,2022
-350912,Ambulu,12,10,medium,92,kmeans,9,2023
-350912,Ambulu,22,18,medium,85,kmeans,5,2021
-350912,Ambulu,5,5,medium,97,kmeans,9,2022
-350912,Ambulu,7,5,medium,95,kmeans,3,2024
-350912,Ambulu,5,5,medium,97,kmeans,5,2024
-350912,Ambulu,2,2,medium,99,kmeans,11,2023
-350912,Ambulu,2,2,medium,99,kmeans,6,2022
-350912,Ambulu,3,2,medium,98,kmeans,10,2024
-350912,Ambulu,5,4,medium,97,kmeans,9,2020
-350912,Ambulu,5,5,medium,97,kmeans,10,2021
-350912,Ambulu,3,3,medium,98,kmeans,5,2022
-350912,Ambulu,2,2,medium,99,kmeans,4,2023
-350912,Ambulu,7,5,medium,95,kmeans,8,2020
-350912,Ambulu,19,11,medium,87,kmeans,5,2023
-350912,Ambulu,7,6,medium,95,kmeans,11,2021
-350912,Ambulu,19,10,medium,87,kmeans,9,2024
-350912,Ambulu,3,3,medium,98,kmeans,2,2023
-350912,Ambulu,4,3,medium,98,kmeans,6,2020
-350912,Ambulu,26,22,medium,82,kmeans,7,2022
-350912,Ambulu,9,6,medium,94,kmeans,8,2021
-350912,Ambulu,5,4,medium,97,kmeans,11,2020
-350912,Ambulu,2,2,medium,99,kmeans,4,2024
-350912,Ambulu,1,1,medium,100,kmeans,2,2024
-350912,Ambulu,7,6,medium,95,kmeans,10,2023
-350912,Ambulu,23,16,medium,84,kmeans,7,2020
-350912,Ambulu,20,15,medium,86,kmeans,3,2023
-350912,Ambulu,11,9,medium,93,kmeans,10,2020
-350912,Ambulu,4,4,medium,98,kmeans,9,2021
-350912,Ambulu,22,15,medium,85,kmeans,6,2023
-350912,Ambulu,3,3,medium,98,kmeans,11,2024
-350912,Ambulu,4,4,medium,98,kmeans,7,2021
-350912,Ambulu,5,5,medium,97,kmeans,12,2022
-350912,Ambulu,5,5,medium,97,kmeans,3,2021
-350912,Ambulu,4,4,medium,98,kmeans,3,2020
-350912,Ambulu,2,2,medium,99,kmeans,7,2024
-350912,Ambulu,8,8,medium,95,kmeans,11,2022
-350912,Ambulu,6,6,medium,96,kmeans,1,2022
-350912,Ambulu,4,4,medium,98,kmeans,8,2023
 350912,Ambulu,8,8,medium,95,kmeans,2,2020
-350912,Ambulu,8,8,medium,95,kmeans,1,2024
-350912,Ambulu,5,5,medium,97,kmeans,2,2022
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+350917,Ajung,6,6,medium,96,kmeans,4,2021
+350917,Ajung,9,9,medium,94,kmeans,5,2021
+350917,Ajung,16,12,medium,89,kmeans,6,2021
+350917,Ajung,5,4,medium,97,kmeans,7,2021
+350917,Ajung,18,14,medium,88,kmeans,8,2021
+350917,Ajung,15,13,medium,90,kmeans,9,2021
+350917,Ajung,8,7,medium,95,kmeans,10,2021
+350917,Ajung,7,6,medium,95,kmeans,11,2021
+350917,Ajung,5,5,medium,97,kmeans,12,2021
+350917,Ajung,11,8,medium,93,kmeans,1,2022
+350917,Ajung,5,5,medium,97,kmeans,2,2022
+350917,Ajung,2,2,medium,99,kmeans,3,2022
+350917,Ajung,11,11,medium,93,kmeans,4,2022
+350917,Ajung,1,1,medium,100,kmeans,5,2022
+350917,Ajung,15,15,medium,90,kmeans,6,2022
+350917,Ajung,5,5,medium,97,kmeans,7,2022
+350917,Ajung,18,14,medium,88,kmeans,8,2022
+350917,Ajung,10,9,medium,93,kmeans,9,2022
+350917,Ajung,8,8,medium,95,kmeans,10,2022
+350917,Ajung,2,2,medium,99,kmeans,11,2022
+350917,Ajung,7,7,medium,95,kmeans,12,2022
+350917,Ajung,6,5,medium,96,kmeans,1,2023
+350917,Ajung,3,3,medium,98,kmeans,2,2023
+350917,Ajung,10,7,medium,93,kmeans,3,2023
+350917,Ajung,12,11,medium,92,kmeans,4,2023
 350917,Ajung,8,8,medium,95,kmeans,5,2023
-350918,Tempurejo,2,2,low,99,kmeans,11,2023
-350918,Tempurejo,3,3,low,98,kmeans,11,2021
-350918,Tempurejo,3,3,low,98,kmeans,5,2022
-350918,Tempurejo,4,4,low,98,kmeans,9,2022
-350918,Tempurejo,1,1,low,100,kmeans,10,2023
-350918,Tempurejo,4,4,low,98,kmeans,10,2021
-350918,Tempurejo,4,4,low,98,kmeans,5,2021
-350918,Tempurejo,3,3,low,98,kmeans,8,2020
-350918,Tempurejo,1,1,low,100,kmeans,3,2022
-350918,Tempurejo,5,5,low,97,kmeans,1,2022
+350917,Ajung,2,2,medium,99,kmeans,6,2023
+350917,Ajung,10,7,medium,93,kmeans,7,2023
+350917,Ajung,1,1,medium,100,kmeans,8,2023
+350917,Ajung,2,3,medium,99,kmeans,9,2023
+350917,Ajung,4,4,medium,98,kmeans,10,2023
+350917,Ajung,3,3,medium,98,kmeans,11,2023
+350917,Ajung,2,2,medium,99,kmeans,12,2023
+350917,Ajung,13,6,medium,91,kmeans,1,2024
+350917,Ajung,2,2,medium,99,kmeans,2,2024
+350917,Ajung,4,4,medium,98,kmeans,3,2024
+350917,Ajung,2,2,medium,99,kmeans,4,2024
+350917,Ajung,2,2,medium,99,kmeans,5,2024
+350917,Ajung,14,10,medium,90,kmeans,6,2024
+350917,Ajung,8,8,medium,95,kmeans,7,2024
+350917,Ajung,18,10,medium,88,kmeans,8,2024
+350917,Ajung,10,5,medium,93,kmeans,9,2024
+350917,Ajung,6,5,medium,96,kmeans,10,2024
+350917,Ajung,1,1,medium,100,kmeans,11,2024
+350917,Ajung,2,2,medium,99,kmeans,12,2024
+350917,Ajung,13,11,medium,91,kmeans,1,2025
+350917,Ajung,23,17,medium,84,kmeans,2,2025
+350917,Ajung,9,3,medium,94,kmeans,3,2025
+350917,Ajung,21,15,medium,85,kmeans,4,2025
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+350918,Tempurejo,4,4,low,98,kmeans,1,2020
 350918,Tempurejo,2,2,low,99,kmeans,2,2020
-350918,Tempurejo,1,1,low,100,kmeans,7,2024
-350918,Tempurejo,1,1,low,100,kmeans,11,2022
-350918,Tempurejo,1,1,low,100,kmeans,3,2023
-350918,Tempurejo,4,3,low,98,kmeans,11,2020
-350918,Tempurejo,1,2,low,100,kmeans,9,2023
-350918,Tempurejo,1,1,low,100,kmeans,1,2023
-350918,Tempurejo,1,1,low,100,kmeans,8,2024
-350918,Tempurejo,2,2,low,99,kmeans,12,2020
-350918,Tempurejo,3,3,low,98,kmeans,1,2021
-350918,Tempurejo,2,2,low,99,kmeans,12,2022
-350918,Tempurejo,2,2,low,99,kmeans,10,2024
-350918,Tempurejo,1,1,low,100,kmeans,12,2023
-350918,Tempurejo,1,1,low,100,kmeans,7,2023
-350918,Tempurejo,3,3,low,98,kmeans,10,2020
-350918,Tempurejo,5,5,low,97,kmeans,12,2021
-350918,Tempurejo,2,2,low,99,kmeans,4,2024
-350918,Tempurejo,3,2,low,98,kmeans,6,2020
-350918,Tempurejo,1,1,low,100,kmeans,2,2023
-350918,Tempurejo,4,4,low,98,kmeans,9,2021
-350918,Tempurejo,1,1,low,100,kmeans,1,2024
-350918,Tempurejo,1,1,low,100,kmeans,8,2022
-350918,Tempurejo,3,3,low,98,kmeans,5,2023
-350918,Tempurejo,2,2,low,99,kmeans,10,2022
-350918,Tempurejo,4,4,low,98,kmeans,4,2021
-350918,Tempurejo,5,5,low,97,kmeans,2,2021
-350918,Tempurejo,1,1,low,100,kmeans,6,2023
-350918,Tempurejo,4,4,low,98,kmeans,3,2021
-350918,Tempurejo,1,1,low,100,kmeans,4,2022
+350918,Tempurejo,3,3,low,98,kmeans,3,2020
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-350918,Tempurejo,2,2,low,99,kmeans,2,2024
-350918,Tempurejo,2,2,low,99,kmeans,9,2024
-350918,Tempurejo,1,1,low,100,kmeans,4,2023
+350918,Tempurejo,3,2,low,98,kmeans,6,2020
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-350918,Tempurejo,2,2,low,99,kmeans,5,2024
-350918,Tempurejo,0,0,low,100,kmeans,12,2024
-350918,Tempurejo,4,4,low,98,kmeans,7,2021
-350918,Tempurejo,0,0,low,100,kmeans,11,2024
-350918,Tempurejo,1,1,low,100,kmeans,8,2023
-350918,Tempurejo,3,3,low,98,kmeans,3,2024
-350918,Tempurejo,3,3,low,98,kmeans,3,2020
-350918,Tempurejo,1,1,low,100,kmeans,7,2022
-350918,Tempurejo,4,4,low,98,kmeans,1,2020
-350918,Tempurejo,5,5,low,97,kmeans,2,2022
-350918,Tempurejo,4,4,low,98,kmeans,8,2021
-350918,Tempurejo,1,1,low,100,kmeans,6,2024
-350918,Tempurejo,5,4,low,97,kmeans,6,2021
-350918,Tempurejo,1,1,low,100,kmeans,6,2022
+350918,Tempurejo,3,3,low,98,kmeans,8,2020
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-350919,Kaliwates,5,5,high,97,kmeans,8,2021
+350918,Tempurejo,3,3,low,98,kmeans,10,2020
+350918,Tempurejo,4,3,low,98,kmeans,11,2020
+350918,Tempurejo,2,2,low,99,kmeans,12,2020
+350918,Tempurejo,3,3,low,98,kmeans,1,2021
+350918,Tempurejo,5,5,low,97,kmeans,2,2021
+350918,Tempurejo,4,4,low,98,kmeans,3,2021
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+350918,Tempurejo,4,4,low,98,kmeans,5,2021
+350918,Tempurejo,5,4,low,97,kmeans,6,2021
+350918,Tempurejo,4,4,low,98,kmeans,7,2021
+350918,Tempurejo,4,4,low,98,kmeans,8,2021
+350918,Tempurejo,4,4,low,98,kmeans,9,2021
+350918,Tempurejo,4,4,low,98,kmeans,10,2021
+350918,Tempurejo,3,3,low,98,kmeans,11,2021
+350918,Tempurejo,5,5,low,97,kmeans,12,2021
+350918,Tempurejo,5,5,low,97,kmeans,1,2022
+350918,Tempurejo,5,5,low,97,kmeans,2,2022
+350918,Tempurejo,1,1,low,100,kmeans,3,2022
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+350918,Tempurejo,3,3,low,98,kmeans,5,2022
+350918,Tempurejo,1,1,low,100,kmeans,6,2022
+350918,Tempurejo,1,1,low,100,kmeans,7,2022
+350918,Tempurejo,1,1,low,100,kmeans,8,2022
+350918,Tempurejo,4,4,low,98,kmeans,9,2022
+350918,Tempurejo,2,2,low,99,kmeans,10,2022
+350918,Tempurejo,1,1,low,100,kmeans,11,2022
+350918,Tempurejo,2,2,low,99,kmeans,12,2022
+350918,Tempurejo,1,1,low,100,kmeans,1,2023
+350918,Tempurejo,1,1,low,100,kmeans,2,2023
+350918,Tempurejo,1,1,low,100,kmeans,3,2023
+350918,Tempurejo,1,1,low,100,kmeans,4,2023
+350918,Tempurejo,3,3,low,98,kmeans,5,2023
+350918,Tempurejo,1,1,low,100,kmeans,6,2023
+350918,Tempurejo,1,1,low,100,kmeans,7,2023
+350918,Tempurejo,1,1,low,100,kmeans,8,2023
+350918,Tempurejo,1,2,low,100,kmeans,9,2023
+350918,Tempurejo,1,1,low,100,kmeans,10,2023
+350918,Tempurejo,2,2,low,99,kmeans,11,2023
+350918,Tempurejo,1,1,low,100,kmeans,12,2023
+350918,Tempurejo,1,1,low,100,kmeans,1,2024
+350918,Tempurejo,2,2,low,99,kmeans,2,2024
+350918,Tempurejo,3,3,low,98,kmeans,3,2024
+350918,Tempurejo,2,2,low,99,kmeans,4,2024
+350918,Tempurejo,2,2,low,99,kmeans,5,2024
+350918,Tempurejo,1,1,low,100,kmeans,6,2024
+350918,Tempurejo,1,1,low,100,kmeans,7,2024
+350918,Tempurejo,1,1,low,100,kmeans,8,2024
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+350918,Tempurejo,0,0,low,100,kmeans,11,2024
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+350918,Tempurejo,14,1,medium,90,kmeans,1,2025
+350918,Tempurejo,18,9,medium,88,kmeans,2,2025
+350918,Tempurejo,1,0,medium,100,kmeans,3,2025
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+350919,Kaliwates,8,8,high,95,kmeans,1,2020
+350919,Kaliwates,3,3,high,98,kmeans,2,2020
 350919,Kaliwates,24,19,high,83,kmeans,3,2020
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-350919,Kaliwates,5,3,high,97,kmeans,7,2020
-350919,Kaliwates,11,10,high,93,kmeans,5,2023
-350919,Kaliwates,9,8,high,94,kmeans,8,2023
 350919,Kaliwates,7,7,high,95,kmeans,5,2020
+350919,Kaliwates,4,3,high,98,kmeans,6,2020
+350919,Kaliwates,5,3,high,97,kmeans,7,2020
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-350919,Kaliwates,3,2,high,98,kmeans,10,2024
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-350919,Kaliwates,5,5,high,97,kmeans,9,2021
-350919,Kaliwates,3,3,high,98,kmeans,2,2024
-350919,Kaliwates,4,4,high,98,kmeans,10,2022
-350919,Kaliwates,5,5,high,97,kmeans,5,2022
-350919,Kaliwates,9,7,high,94,kmeans,11,2021
-350919,Kaliwates,16,13,high,89,kmeans,3,2024
-350919,Kaliwates,9,6,high,94,kmeans,5,2024
-350919,Kaliwates,20,13,high,86,kmeans,7,2024
-350919,Kaliwates,6,6,high,96,kmeans,5,2021
-350919,Kaliwates,5,5,high,97,kmeans,9,2022
-350919,Kaliwates,13,10,high,91,kmeans,10,2023
-350919,Kaliwates,8,8,high,95,kmeans,10,2021
-350919,Kaliwates,5,5,high,97,kmeans,8,2022
-350919,Kaliwates,14,11,high,90,kmeans,6,2021
-350919,Kaliwates,6,6,high,96,kmeans,1,2024
-350919,Kaliwates,2,2,high,99,kmeans,4,2023
-350919,Kaliwates,2,2,high,99,kmeans,11,2023
-350919,Kaliwates,4,5,high,98,kmeans,6,2024
-350919,Kaliwates,21,16,high,85,kmeans,7,2021
-350919,Kaliwates,27,22,high,81,kmeans,6,2022
-350919,Kaliwates,17,14,high,88,kmeans,7,2022
-350919,Kaliwates,10,9,high,93,kmeans,9,2023
-350919,Kaliwates,5,5,high,97,kmeans,2,2022
-350919,Kaliwates,7,7,high,95,kmeans,2,2023
-350919,Kaliwates,7,7,high,95,kmeans,3,2021
-350919,Kaliwates,8,7,high,95,kmeans,9,2024
-350919,Kaliwates,26,21,high,82,kmeans,4,2021
-350919,Kaliwates,3,3,high,98,kmeans,4,2024
-350919,Kaliwates,1,1,high,100,kmeans,3,2023
-350919,Kaliwates,4,4,high,98,kmeans,11,2022
-350919,Kaliwates,5,5,high,97,kmeans,12,2021
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-350919,Kaliwates,2,2,high,99,kmeans,7,2023
-350919,Kaliwates,4,4,high,98,kmeans,11,2024
+350919,Kaliwates,4,3,high,98,kmeans,11,2020
+350919,Kaliwates,1,2,high,100,kmeans,12,2020
+350919,Kaliwates,7,7,high,95,kmeans,1,2021
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-350919,Kaliwates,6,6,high,96,kmeans,8,2024
-350919,Kaliwates,2,1,high,99,kmeans,12,2023
+350919,Kaliwates,7,7,high,95,kmeans,3,2021
+350919,Kaliwates,26,21,high,82,kmeans,4,2021
+350919,Kaliwates,6,6,high,96,kmeans,5,2021
+350919,Kaliwates,14,11,high,90,kmeans,6,2021
+350919,Kaliwates,21,16,high,85,kmeans,7,2021
+350919,Kaliwates,5,5,high,97,kmeans,8,2021
+350919,Kaliwates,5,5,high,97,kmeans,9,2021
+350919,Kaliwates,8,8,high,95,kmeans,10,2021
+350919,Kaliwates,9,7,high,94,kmeans,11,2021
+350919,Kaliwates,5,5,high,97,kmeans,12,2021
+350919,Kaliwates,12,8,high,92,kmeans,1,2022
+350919,Kaliwates,5,5,high,97,kmeans,2,2022
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-350919,Kaliwates,12,8,high,92,kmeans,1,2022
-350919,Kaliwates,9,6,high,94,kmeans,1,2023
-350919,Kaliwates,4,3,high,98,kmeans,11,2020
-350919,Kaliwates,4,3,high,98,kmeans,6,2020
+350919,Kaliwates,5,5,high,97,kmeans,5,2022
+350919,Kaliwates,27,22,high,81,kmeans,6,2022
+350919,Kaliwates,17,14,high,88,kmeans,7,2022
+350919,Kaliwates,5,5,high,97,kmeans,8,2022
+350919,Kaliwates,5,5,high,97,kmeans,9,2022
+350919,Kaliwates,4,4,high,98,kmeans,10,2022
+350919,Kaliwates,4,4,high,98,kmeans,11,2022
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-350919,Kaliwates,7,7,high,95,kmeans,1,2021
-350919,Kaliwates,1,2,high,100,kmeans,12,2020
-350919,Kaliwates,18,14,high,88,kmeans,12,2024
+350919,Kaliwates,9,6,high,94,kmeans,1,2023
+350919,Kaliwates,7,7,high,95,kmeans,2,2023
+350919,Kaliwates,1,1,high,100,kmeans,3,2023
+350919,Kaliwates,2,2,high,99,kmeans,4,2023
+350919,Kaliwates,11,10,high,93,kmeans,5,2023
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-350919,Kaliwates,3,3,high,98,kmeans,2,2020
-350919,Kaliwates,8,8,high,95,kmeans,1,2020
-350920,Patrang,11,10,high,93,kmeans,4,2024
-350920,Patrang,5,5,high,97,kmeans,1,2023
-350920,Patrang,6,6,high,96,kmeans,2,2022
-350920,Patrang,11,11,high,93,kmeans,3,2022
-350920,Patrang,10,7,high,93,kmeans,12,2020
-350920,Patrang,9,8,high,94,kmeans,8,2024
-350920,Patrang,4,3,high,98,kmeans,11,2020
-350920,Patrang,5,5,high,97,kmeans,1,2021
-350920,Patrang,2,2,high,99,kmeans,12,2022
-350920,Patrang,2,2,high,99,kmeans,12,2023
-350920,Patrang,2,2,high,99,kmeans,7,2024
-350920,Patrang,3,3,high,98,kmeans,2,2023
-350920,Patrang,14,6,high,90,kmeans,9,2024
-350920,Patrang,19,13,high,87,kmeans,3,2021
-350920,Patrang,9,6,high,94,kmeans,2,2021
-350920,Patrang,8,6,high,95,kmeans,11,2024
-350920,Patrang,3,3,high,98,kmeans,10,2022
-350920,Patrang,11,10,high,93,kmeans,11,2022
-350920,Patrang,15,13,high,90,kmeans,10,2020
-350920,Patrang,2,2,high,99,kmeans,3,2023
-350920,Patrang,11,11,high,93,kmeans,5,2021
-350920,Patrang,11,11,high,93,kmeans,4,2021
-350920,Patrang,2,2,high,99,kmeans,8,2023
-350920,Patrang,6,6,high,96,kmeans,9,2020
-350920,Patrang,16,10,high,89,kmeans,2,2024
-350920,Patrang,11,8,high,93,kmeans,7,2021
-350920,Patrang,3,3,high,98,kmeans,4,2023
-350920,Patrang,9,9,high,94,kmeans,9,2022
-350920,Patrang,8,6,high,95,kmeans,6,2021
-350920,Patrang,2,2,high,99,kmeans,11,2023
-350920,Patrang,4,4,high,98,kmeans,6,2024
-350920,Patrang,4,4,high,98,kmeans,1,2024
-350920,Patrang,23,16,high,84,kmeans,4,2020
-350920,Patrang,12,9,high,92,kmeans,5,2023
-350920,Patrang,8,7,high,95,kmeans,10,2024
-350920,Patrang,16,13,high,89,kmeans,8,2020
-350920,Patrang,12,11,high,92,kmeans,8,2022
-350920,Patrang,5,5,high,97,kmeans,8,2021
-350920,Patrang,9,8,high,94,kmeans,7,2023
-350920,Patrang,11,10,high,93,kmeans,7,2022
-350920,Patrang,5,5,high,97,kmeans,5,2020
-350920,Patrang,5,5,high,97,kmeans,9,2021
-350920,Patrang,13,10,high,91,kmeans,10,2021
-350920,Patrang,13,9,high,91,kmeans,5,2024
-350920,Patrang,21,15,high,85,kmeans,11,2021
-350920,Patrang,12,8,high,92,kmeans,7,2020
-350920,Patrang,2,2,high,99,kmeans,5,2022
-350920,Patrang,4,3,high,98,kmeans,12,2024
+350919,Kaliwates,2,2,high,99,kmeans,7,2023
+350919,Kaliwates,9,8,high,94,kmeans,8,2023
+350919,Kaliwates,10,9,high,93,kmeans,9,2023
+350919,Kaliwates,13,10,high,91,kmeans,10,2023
+350919,Kaliwates,2,2,high,99,kmeans,11,2023
+350919,Kaliwates,2,1,high,99,kmeans,12,2023
+350919,Kaliwates,6,6,high,96,kmeans,1,2024
+350919,Kaliwates,3,3,high,98,kmeans,2,2024
+350919,Kaliwates,16,13,high,89,kmeans,3,2024
+350919,Kaliwates,3,3,high,98,kmeans,4,2024
+350919,Kaliwates,9,6,high,94,kmeans,5,2024
+350919,Kaliwates,4,5,high,98,kmeans,6,2024
+350919,Kaliwates,20,13,high,86,kmeans,7,2024
+350919,Kaliwates,6,6,high,96,kmeans,8,2024
+350919,Kaliwates,8,7,high,95,kmeans,9,2024
+350919,Kaliwates,3,2,high,98,kmeans,10,2024
+350919,Kaliwates,4,4,high,98,kmeans,11,2024
+350919,Kaliwates,18,14,high,88,kmeans,12,2024
+350919,Kaliwates,0,0,low,100,kmeans,1,2025
+350919,Kaliwates,9,9,medium,94,kmeans,2,2025
+350919,Kaliwates,26,17,medium,82,kmeans,3,2025
+350919,Kaliwates,28,16,medium,80,kmeans,4,2025
+350919,Kaliwates,8,4,medium,95,kmeans,5,2025
 350920,Patrang,3,3,high,98,kmeans,1,2020
 350920,Patrang,8,7,high,95,kmeans,2,2020
-350920,Patrang,9,7,high,94,kmeans,6,2020
-350920,Patrang,5,5,high,97,kmeans,6,2023
 350920,Patrang,13,10,high,91,kmeans,3,2020
-350920,Patrang,3,3,high,98,kmeans,9,2023
-350920,Patrang,10,8,high,93,kmeans,1,2022
-350920,Patrang,7,7,high,95,kmeans,4,2022
-350920,Patrang,11,8,high,93,kmeans,3,2024
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+350920,Patrang,9,7,high,94,kmeans,6,2020
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+350920,Patrang,16,13,high,89,kmeans,8,2020
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+350920,Patrang,9,6,high,94,kmeans,2,2021
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+350920,Patrang,5,5,high,97,kmeans,9,2021
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 350920,Patrang,22,15,high,85,kmeans,12,2021
-350920,Patrang,4,4,high,98,kmeans,10,2023
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-350921,Sumbersari,3,3,high,98,kmeans,9,2024
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-350921,Sumbersari,5,5,high,97,kmeans,11,2022
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 350921,Sumbersari,8,7,high,95,kmeans,3,2021
-350921,Sumbersari,4,4,high,98,kmeans,2,2024
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 350921,Sumbersari,7,5,high,95,kmeans,7,2022
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 350921,Sumbersari,24,18,high,83,kmeans,10,2024
 350921,Sumbersari,1,1,high,100,kmeans,11,2024
-350921,Sumbersari,6,6,medium,96,kmeans,5,2020
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-350921,Sumbersari,10,9,high,93,kmeans,4,2023
-350921,Sumbersari,8,7,high,95,kmeans,7,2021
-350921,Sumbersari,2,2,high,99,kmeans,8,2022
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-350921,Sumbersari,6,6,high,96,kmeans,6,2024
-350921,Sumbersari,12,9,high,92,kmeans,10,2022
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-350921,Sumbersari,7,6,high,95,kmeans,6,2021
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-350921,Sumbersari,13,11,high,91,kmeans,3,2022
-350921,Sumbersari,24,18,medium,83,kmeans,2,2020
 350921,Sumbersari,1,1,high,100,kmeans,12,2024
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-350921,Sumbersari,6,5,medium,96,kmeans,10,2020
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-350922,Arjasa,0,0,low,100,kmeans,12,2020
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 350923,Mumbulsari,3,3,low,98,kmeans,1,2021
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 350923,Mumbulsari,0,0,low,100,kmeans,2,2021
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 350923,Mumbulsari,0,0,low,100,kmeans,3,2021
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+350928,Ledokombo,1,1,low,100,kmeans,5,2022
+350928,Ledokombo,0,0,low,100,kmeans,6,2022
+350928,Ledokombo,0,0,low,100,kmeans,7,2022
+350928,Ledokombo,0,0,low,100,kmeans,8,2022
+350928,Ledokombo,0,0,low,100,kmeans,9,2022
+350928,Ledokombo,1,1,low,100,kmeans,10,2022
+350928,Ledokombo,1,1,low,100,kmeans,11,2022
 350928,Ledokombo,0,0,low,100,kmeans,12,2022
-350928,Ledokombo,1,1,low,100,kmeans,9,2024
+350928,Ledokombo,0,0,low,100,kmeans,1,2023
 350928,Ledokombo,0,0,low,100,kmeans,2,2023
 350928,Ledokombo,0,0,low,100,kmeans,3,2023
-350928,Ledokombo,0,0,low,100,kmeans,8,2020
-350928,Ledokombo,1,1,low,100,kmeans,11,2022
+350928,Ledokombo,1,1,low,100,kmeans,4,2023
+350928,Ledokombo,0,0,low,100,kmeans,5,2023
+350928,Ledokombo,1,1,low,100,kmeans,6,2023
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+350928,Ledokombo,0,0,low,100,kmeans,8,2023
+350928,Ledokombo,0,0,low,100,kmeans,9,2023
+350928,Ledokombo,1,1,low,100,kmeans,10,2023
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 350928,Ledokombo,0,0,low,100,kmeans,12,2023
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+350928,Ledokombo,1,1,low,100,kmeans,2,2024
+350928,Ledokombo,1,1,low,100,kmeans,3,2024
+350928,Ledokombo,1,1,low,100,kmeans,4,2024
+350928,Ledokombo,1,1,low,100,kmeans,5,2024
+350928,Ledokombo,0,0,low,100,kmeans,6,2024
+350928,Ledokombo,0,0,low,100,kmeans,7,2024
 350928,Ledokombo,0,0,low,100,kmeans,8,2024
-350928,Ledokombo,0,0,low,100,kmeans,12,2020
-350928,Ledokombo,1,1,low,100,kmeans,10,2022
-350929,Sukowono,0,0,low,100,kmeans,5,2021
-350929,Sukowono,0,0,low,100,kmeans,2,2024
-350929,Sukowono,0,0,low,100,kmeans,4,2022
-350929,Sukowono,1,1,low,100,kmeans,5,2024
-350929,Sukowono,1,1,low,100,kmeans,10,2020
-350929,Sukowono,0,1,low,100,kmeans,9,2024
-350929,Sukowono,2,2,low,99,kmeans,9,2020
-350929,Sukowono,4,4,low,98,kmeans,6,2021
-350929,Sukowono,0,0,low,100,kmeans,6,2024
-350929,Sukowono,0,0,low,100,kmeans,6,2022
-350929,Sukowono,1,1,low,100,kmeans,4,2021
-350929,Sukowono,0,0,low,100,kmeans,1,2023
-350929,Sukowono,0,0,low,100,kmeans,12,2020
-350929,Sukowono,1,1,low,100,kmeans,8,2024
-350929,Sukowono,0,0,low,100,kmeans,10,2022
-350929,Sukowono,0,0,low,100,kmeans,12,2023
-350929,Sukowono,0,0,low,100,kmeans,11,2020
-350929,Sukowono,0,0,low,100,kmeans,12,2022
-350929,Sukowono,1,1,low,100,kmeans,11,2022
-350929,Sukowono,0,0,low,100,kmeans,6,2020
+350928,Ledokombo,1,1,low,100,kmeans,9,2024
+350928,Ledokombo,0,0,low,100,kmeans,10,2024
+350928,Ledokombo,0,0,low,100,kmeans,11,2024
+350928,Ledokombo,0,0,low,100,kmeans,12,2024
+350928,Ledokombo,16,12,medium,89,kmeans,1,2025
+350928,Ledokombo,9,6,medium,94,kmeans,2,2025
+350928,Ledokombo,6,5,medium,96,kmeans,3,2025
+350928,Ledokombo,15,2,medium,90,kmeans,4,2025
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-350929,Sukowono,1,1,low,100,kmeans,7,2023
-350929,Sukowono,0,0,low,100,kmeans,11,2024
-350929,Sukowono,0,0,low,100,kmeans,5,2023
-350929,Sukowono,0,0,low,100,kmeans,4,2023
-350929,Sukowono,1,1,low,100,kmeans,10,2023
-350929,Sukowono,0,0,low,100,kmeans,10,2024
-350929,Sukowono,0,0,low,100,kmeans,9,2023
-350929,Sukowono,1,1,low,100,kmeans,7,2020
-350929,Sukowono,2,2,low,99,kmeans,8,2020
-350929,Sukowono,0,0,low,100,kmeans,3,2023
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 350929,Sukowono,0,0,low,100,kmeans,5,2020
-350929,Sukowono,1,1,low,100,kmeans,6,2023
-350929,Sukowono,2,2,low,99,kmeans,11,2023
-350929,Sukowono,0,0,low,100,kmeans,4,2024
-350929,Sukowono,0,0,low,100,kmeans,3,2024
-350929,Sukowono,1,1,low,100,kmeans,1,2022
-350929,Sukowono,2,2,low,99,kmeans,9,2021
-350929,Sukowono,1,1,low,100,kmeans,3,2022
-350929,Sukowono,2,2,low,99,kmeans,2,2022
-350929,Sukowono,3,3,low,98,kmeans,8,2021
-350929,Sukowono,1,1,low,100,kmeans,5,2022
-350929,Sukowono,0,0,low,100,kmeans,8,2022
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-350929,Sukowono,0,0,low,100,kmeans,9,2022
-350929,Sukowono,0,0,low,100,kmeans,7,2024
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-350929,Sukowono,1,1,low,100,kmeans,8,2023
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-350929,Sukowono,0,0,low,100,kmeans,2,2020
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-350929,Sukowono,0,0,low,100,kmeans,12,2024
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-350930,Silo,12,7,medium,92,kmeans,2,2021
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-350930,Silo,12,9,medium,92,kmeans,3,2021
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-350930,Silo,1,1,medium,100,kmeans,7,2023
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-350930,Silo,3,3,medium,98,kmeans,10,2022
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-350930,Silo,4,3,medium,98,kmeans,6,2020
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-350930,Silo,8,8,medium,95,kmeans,5,2020
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-350930,Silo,2,2,medium,99,kmeans,12,2022
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-350930,Silo,8,8,medium,95,kmeans,9,2024
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-350930,Silo,17,16,medium,88,kmeans,5,2022
-350930,Silo,4,4,medium,98,kmeans,7,2021
-350930,Silo,6,6,medium,96,kmeans,5,2021
-350930,Silo,11,11,medium,93,kmeans,8,2022
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-350930,Silo,8,6,medium,95,kmeans,9,2020
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-350930,Silo,6,5,medium,96,kmeans,6,2021
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-350930,Silo,6,6,medium,96,kmeans,6,2024
-350930,Silo,5,5,medium,97,kmeans,8,2021
-350930,Silo,10,9,medium,93,kmeans,4,2024
-350930,Silo,12,12,medium,92,kmeans,9,2021
-350930,Silo,5,5,medium,97,kmeans,10,2021
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-350930,Silo,6,6,medium,96,kmeans,9,2023
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-350930,Silo,2,2,medium,99,kmeans,12,2024
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-350930,Silo,2,2,medium,99,kmeans,7,2024
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-350931,Sumberjambe,0,0,low,100,kmeans,2,2020
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-350931,Sumberjambe,1,1,low,100,kmeans,8,2021
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-350931,Sumberjambe,0,0,low,100,kmeans,9,2022
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-350931,Sumberjambe,1,1,low,100,kmeans,7,2024
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diff --git a/sigap-website/prisma/data/excels/crimes/crime_monthly_by_unit.csv b/sigap-website/prisma/data/excels/crimes/crime_monthly_by_unit.csv
new file mode 100644
index 0000000..9a24d00
--- /dev/null
+++ b/sigap-website/prisma/data/excels/crimes/crime_monthly_by_unit.csv
@@ -0,0 +1,1861 @@
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+350929,Sukowono,3,3,0,high,98,kmeans,8,2020
+350929,Sukowono,2,3,0,high,99,kmeans,9,2020
+350929,Sukowono,2,1,0,high,99,kmeans,10,2020
+350929,Sukowono,1,1,0,high,100,kmeans,11,2020
+350929,Sukowono,2,2,0,high,99,kmeans,12,2020
+350929,Sukowono,3,3,0,low,98,kmeans,1,2021
+350929,Sukowono,3,2,0,low,98,kmeans,2,2021
+350929,Sukowono,3,2,0,low,98,kmeans,3,2021
+350929,Sukowono,7,5,0,low,94,kmeans,4,2021
+350929,Sukowono,1,0,0,low,100,kmeans,5,2021
+350929,Sukowono,2,2,0,low,99,kmeans,6,2021
+350929,Sukowono,6,4,0,low,95,kmeans,7,2021
+350929,Sukowono,2,0,0,low,99,kmeans,8,2021
+350929,Sukowono,2,1,0,low,99,kmeans,9,2021
+350929,Sukowono,3,2,0,low,98,kmeans,10,2021
+350929,Sukowono,8,6,0,low,93,kmeans,11,2021
+350929,Sukowono,6,5,0,low,95,kmeans,12,2021
+350929,Sukowono,4,3,0,low,97,kmeans,1,2022
+350929,Sukowono,6,6,0,low,95,kmeans,2,2022
+350929,Sukowono,0,0,0,low,100,kmeans,3,2022
+350929,Sukowono,5,4,0,low,96,kmeans,4,2022
+350929,Sukowono,4,4,0,low,97,kmeans,5,2022
+350929,Sukowono,4,4,0,low,97,kmeans,6,2022
+350929,Sukowono,3,3,0,low,98,kmeans,7,2022
+350929,Sukowono,2,1,0,low,99,kmeans,8,2022
+350929,Sukowono,5,3,0,low,96,kmeans,9,2022
+350929,Sukowono,1,1,0,low,100,kmeans,10,2022
+350929,Sukowono,0,0,0,low,100,kmeans,11,2022
+350929,Sukowono,0,0,0,low,100,kmeans,12,2022
+350929,Sukowono,3,2,0,low,98,kmeans,1,2023
+350929,Sukowono,1,1,0,low,100,kmeans,2,2023
+350929,Sukowono,4,4,0,low,97,kmeans,3,2023
+350929,Sukowono,1,0,0,low,100,kmeans,4,2023
+350929,Sukowono,0,1,0,low,100,kmeans,5,2023
+350929,Sukowono,2,2,0,low,99,kmeans,6,2023
+350929,Sukowono,1,1,0,low,100,kmeans,7,2023
+350929,Sukowono,1,0,0,low,100,kmeans,8,2023
+350929,Sukowono,5,1,0,low,96,kmeans,9,2023
+350929,Sukowono,4,3,0,low,97,kmeans,10,2023
+350929,Sukowono,1,1,0,low,100,kmeans,11,2023
+350929,Sukowono,2,2,0,low,99,kmeans,12,2023
+350929,Sukowono,1,1,0,low,100,kmeans,1,2024
+350929,Sukowono,1,0,0,low,100,kmeans,2,2024
+350929,Sukowono,6,5,0,low,95,kmeans,3,2024
+350929,Sukowono,3,1,0,low,98,kmeans,4,2024
+350929,Sukowono,5,5,0,low,96,kmeans,5,2024
+350929,Sukowono,2,1,0,low,99,kmeans,6,2024
+350929,Sukowono,1,2,0,low,100,kmeans,7,2024
+350929,Sukowono,2,1,0,low,99,kmeans,8,2024
+350929,Sukowono,6,3,0,low,95,kmeans,9,2024
+350929,Sukowono,1,0,0,low,100,kmeans,10,2024
+350929,Sukowono,0,0,0,low,100,kmeans,11,2024
+350929,Sukowono,0,0,0,low,100,kmeans,12,2024
+350930,Silo,1,1,0,high,100,kmeans,1,2020
+350930,Silo,0,0,0,low,100,kmeans,2,2020
+350930,Silo,3,1,0,high,98,kmeans,3,2020
+350930,Silo,4,2,0,high,97,kmeans,4,2020
+350930,Silo,5,2,0,high,96,kmeans,5,2020
+350930,Silo,2,1,0,high,99,kmeans,6,2020
+350930,Silo,2,1,0,high,99,kmeans,7,2020
+350930,Silo,2,2,0,high,99,kmeans,8,2020
+350930,Silo,1,1,0,high,100,kmeans,9,2020
+350930,Silo,3,3,0,high,98,kmeans,10,2020
+350930,Silo,2,0,0,high,99,kmeans,11,2020
+350930,Silo,1,1,0,high,100,kmeans,12,2020
+350930,Silo,2,1,0,high,99,kmeans,1,2021
+350930,Silo,4,2,0,high,97,kmeans,2,2021
+350930,Silo,3,1,0,high,98,kmeans,3,2021
+350930,Silo,5,2,0,high,96,kmeans,4,2021
+350930,Silo,5,3,0,high,96,kmeans,5,2021
+350930,Silo,5,2,0,high,96,kmeans,6,2021
+350930,Silo,0,0,0,low,100,kmeans,7,2021
+350930,Silo,5,4,0,high,96,kmeans,8,2021
+350930,Silo,4,1,0,high,97,kmeans,9,2021
+350930,Silo,3,2,0,high,98,kmeans,10,2021
+350930,Silo,3,2,0,high,98,kmeans,11,2021
+350930,Silo,0,0,0,low,100,kmeans,12,2021
+350930,Silo,2,1,0,high,99,kmeans,1,2022
+350930,Silo,0,0,0,low,100,kmeans,2,2022
+350930,Silo,4,3,0,high,97,kmeans,3,2022
+350930,Silo,1,1,0,high,100,kmeans,4,2022
+350930,Silo,0,0,0,low,100,kmeans,5,2022
+350930,Silo,2,1,0,high,99,kmeans,6,2022
+350930,Silo,1,1,0,high,100,kmeans,7,2022
+350930,Silo,9,5,0,high,92,kmeans,8,2022
+350930,Silo,2,0,0,high,99,kmeans,9,2022
+350930,Silo,2,1,0,high,99,kmeans,10,2022
+350930,Silo,3,3,0,high,98,kmeans,11,2022
+350930,Silo,2,2,0,high,99,kmeans,12,2022
+350930,Silo,2,2,0,high,99,kmeans,1,2023
+350930,Silo,3,3,0,high,98,kmeans,2,2023
+350930,Silo,0,0,0,low,100,kmeans,3,2023
+350930,Silo,2,2,0,high,99,kmeans,4,2023
+350930,Silo,4,3,0,high,97,kmeans,5,2023
+350930,Silo,0,0,0,low,100,kmeans,6,2023
+350930,Silo,5,2,0,high,96,kmeans,7,2023
+350930,Silo,2,2,0,high,99,kmeans,8,2023
+350930,Silo,2,0,0,high,99,kmeans,9,2023
+350930,Silo,3,0,0,high,98,kmeans,10,2023
+350930,Silo,3,1,0,high,98,kmeans,11,2023
+350930,Silo,3,1,0,high,98,kmeans,12,2023
+350930,Silo,0,2,0,low,100,kmeans,1,2024
+350930,Silo,0,0,0,low,100,kmeans,2,2024
+350930,Silo,2,0,0,low,99,kmeans,3,2024
+350930,Silo,5,3,0,low,96,kmeans,4,2024
+350930,Silo,2,2,0,low,99,kmeans,5,2024
+350930,Silo,2,1,0,low,99,kmeans,6,2024
+350930,Silo,4,3,0,low,97,kmeans,7,2024
+350930,Silo,1,1,0,low,100,kmeans,8,2024
+350930,Silo,3,2,0,low,98,kmeans,9,2024
+350930,Silo,2,2,0,low,99,kmeans,10,2024
+350930,Silo,0,0,0,low,100,kmeans,11,2024
+350930,Silo,0,0,0,low,100,kmeans,12,2024
+350931,Sumberjambe,7,7,0,high,94,kmeans,1,2020
+350931,Sumberjambe,4,4,0,high,97,kmeans,2,2020
+350931,Sumberjambe,4,4,0,high,97,kmeans,3,2020
+350931,Sumberjambe,7,4,0,high,94,kmeans,4,2020
+350931,Sumberjambe,7,6,0,high,94,kmeans,5,2020
+350931,Sumberjambe,3,1,0,high,98,kmeans,6,2020
+350931,Sumberjambe,4,3,0,high,97,kmeans,7,2020
+350931,Sumberjambe,6,4,0,high,95,kmeans,8,2020
+350931,Sumberjambe,3,3,0,high,98,kmeans,9,2020
+350931,Sumberjambe,4,4,0,high,97,kmeans,10,2020
+350931,Sumberjambe,5,5,0,high,96,kmeans,11,2020
+350931,Sumberjambe,1,1,0,high,100,kmeans,12,2020
+350931,Sumberjambe,2,2,0,low,99,kmeans,1,2021
+350931,Sumberjambe,3,3,0,low,98,kmeans,2,2021
+350931,Sumberjambe,1,1,0,low,100,kmeans,3,2021
+350931,Sumberjambe,1,1,0,low,100,kmeans,4,2021
+350931,Sumberjambe,2,2,0,low,99,kmeans,5,2021
+350931,Sumberjambe,2,1,0,low,99,kmeans,6,2021
+350931,Sumberjambe,1,1,0,low,100,kmeans,7,2021
+350931,Sumberjambe,1,1,0,low,100,kmeans,8,2021
+350931,Sumberjambe,3,3,0,low,98,kmeans,9,2021
+350931,Sumberjambe,1,1,0,low,100,kmeans,10,2021
+350931,Sumberjambe,1,1,0,low,100,kmeans,11,2021
+350931,Sumberjambe,2,2,0,low,99,kmeans,12,2021
+350931,Sumberjambe,1,1,0,low,100,kmeans,1,2022
+350931,Sumberjambe,1,1,0,low,100,kmeans,2,2022
+350931,Sumberjambe,0,0,0,low,100,kmeans,3,2022
+350931,Sumberjambe,1,1,0,low,100,kmeans,4,2022
+350931,Sumberjambe,2,2,0,low,99,kmeans,5,2022
+350931,Sumberjambe,1,1,0,low,100,kmeans,6,2022
+350931,Sumberjambe,0,0,0,low,100,kmeans,7,2022
+350931,Sumberjambe,0,0,0,low,100,kmeans,8,2022
+350931,Sumberjambe,1,1,0,low,100,kmeans,9,2022
+350931,Sumberjambe,1,1,0,low,100,kmeans,10,2022
+350931,Sumberjambe,2,2,0,low,99,kmeans,11,2022
+350931,Sumberjambe,2,2,0,low,99,kmeans,12,2022
+350931,Sumberjambe,0,0,0,low,100,kmeans,1,2023
+350931,Sumberjambe,1,1,0,low,100,kmeans,2,2023
+350931,Sumberjambe,2,1,0,low,99,kmeans,3,2023
+350931,Sumberjambe,1,1,0,low,100,kmeans,4,2023
+350931,Sumberjambe,3,3,0,low,98,kmeans,5,2023
+350931,Sumberjambe,1,0,0,low,100,kmeans,6,2023
+350931,Sumberjambe,1,1,0,low,100,kmeans,7,2023
+350931,Sumberjambe,2,0,0,low,99,kmeans,8,2023
+350931,Sumberjambe,1,1,0,low,100,kmeans,9,2023
+350931,Sumberjambe,0,0,0,low,100,kmeans,10,2023
+350931,Sumberjambe,3,2,0,low,98,kmeans,11,2023
+350931,Sumberjambe,1,1,0,low,100,kmeans,12,2023
+350931,Sumberjambe,1,1,0,low,100,kmeans,1,2024
+350931,Sumberjambe,0,0,0,low,100,kmeans,2,2024
+350931,Sumberjambe,2,2,0,low,99,kmeans,3,2024
+350931,Sumberjambe,0,0,0,low,100,kmeans,4,2024
+350931,Sumberjambe,0,0,0,low,100,kmeans,5,2024
+350931,Sumberjambe,1,1,0,low,100,kmeans,6,2024
+350931,Sumberjambe,1,1,0,low,100,kmeans,7,2024
+350931,Sumberjambe,0,0,0,low,100,kmeans,8,2024
+350931,Sumberjambe,1,1,0,low,100,kmeans,9,2024
+350931,Sumberjambe,0,0,0,low,100,kmeans,10,2024
+350931,Sumberjambe,0,0,0,low,100,kmeans,11,2024
+350931,Sumberjambe,0,0,0,low,100,kmeans,12,2024
diff --git a/sigap-website/prisma/data/excels/crimes/crime_summary_by_type.csv b/sigap-website/prisma/data/excels/crimes/crime_summary_by_type.csv
index 9304827..3bfd83d 100644
--- a/sigap-website/prisma/data/excels/crimes/crime_summary_by_type.csv
+++ b/sigap-website/prisma/data/excels/crimes/crime_summary_by_type.csv
@@ -1,32 +1,32 @@
-district_id,district_name,crime_total,crime_cleared,avg_crime,avg_score,level
-350901,Jombang,41,41,8.2,99,low
-350902,Kencong,38,37,7.6,100,low
-350903,Sumberbaru,400,332,80.0,26,medium
-350904,Gumukmas,401,337,80.2,26,medium
-350905,Umbulsari,45,44,9.0,98,low
-350906,Tanggul,388,337,77.6,28,medium
-350907,Semboro,49,47,9.8,98,low
-350908,Puger,448,385,89.6,16,medium
-350909,Bangsalsari,473,403,94.6,11,medium
-350910,Balung,524,422,104.8,0,medium
-350911,Wuluhan,458,379,91.6,14,medium
-350912,Ambulu,442,366,88.4,17,medium
-350913,Rambipuji,426,373,85.2,21,medium
-350914,Panti,45,43,9.0,98,low
-350915,Sukorambi,45,44,9.0,98,low
-350916,Jenggawah,438,362,87.6,18,medium
-350917,Ajung,429,363,85.8,20,medium
-350918,Tempurejo,147,143,29.4,78,low
-350919,Kaliwates,476,400,95.2,10,high
-350920,Patrang,508,416,101.6,4,high
-350921,Sumbersari,422,359,84.4,21,high
-350922,Arjasa,57,56,11.4,96,low
-350923,Mumbulsari,35,35,7.0,100,low
-350924,Pakusari,52,52,10.4,97,low
-350925,Jelbuk,42,41,8.4,99,low
-350926,Mayang,51,51,10.2,97,low
-350927,Kalisat,45,45,9.0,98,low
-350928,Ledokombo,47,45,9.4,98,low
-350929,Sukowono,46,46,9.2,98,low
-350930,Silo,433,381,86.6,19,medium
-350931,Sumberjambe,43,43,8.6,99,low
+district_id,district_name,crime_total,crime_cleared,avg_crime,score,level
+350901,Jombang,112,41,10.25,99,low
+350902,Kencong,95,37,9.5,100,low
+350903,Sumberbaru,458,332,100,26,medium
+350904,Gumukmas,456,337,100.25,26,medium
+350905,Umbulsari,124,44,11.25,98,low
+350906,Tanggul,501,337,97,28,medium
+350907,Semboro,127,47,12.25,98,low
+350908,Puger,553,385,112,16,medium
+350909,Bangsalsari,568,403,118.25,11,medium
+350910,Balung,582,422,131,0,medium
+350911,Wuluhan,520,379,114.5,14,medium
+350912,Ambulu,534,366,110.5,17,medium
+350913,Rambipuji,500,373,106.5,21,medium
+350914,Panti,135,43,11.25,98,low
+350915,Sukorambi,134,44,11.25,98,low
+350916,Jenggawah,515,362,109.5,18,medium
+350917,Ajung,516,363,107.25,20,medium
+350918,Tempurejo,208,143,36.75,78,low
+350919,Kaliwates,547,400,119,10,high
+350920,Patrang,574,416,127,4,high
+350921,Sumbersari,529,359,105.5,21,high
+350922,Arjasa,156,56,14.25,96,low
+350923,Mumbulsari,103,35,8.75,100,low
+350924,Pakusari,113,52,13,97,low
+350925,Jelbuk,144,41,10.5,99,low
+350926,Mayang,141,51,12.75,97,low
+350927,Kalisat,112,45,11.25,98,low
+350928,Ledokombo,118,45,11.75,98,low
+350929,Sukowono,112,46,11.5,98,low
+350930,Silo,522,381,108.25,19,medium
+350931,Sumberjambe,141,43,10.75,99,low
diff --git a/sigap-website/prisma/data/excels/crimes/crime_summary_by_unit.csv b/sigap-website/prisma/data/excels/crimes/crime_summary_by_unit.csv
new file mode 100644
index 0000000..8bfcc32
--- /dev/null
+++ b/sigap-website/prisma/data/excels/crimes/crime_summary_by_unit.csv
@@ -0,0 +1,32 @@
+district_id,district_name,crime_total,crime_cleared,avg_crime,score,level
+350901,Jombang,118,110,29.5,73,low
+350902,Kencong,91,74,22.75,80,low
+350903,Sumberbaru,157,130,39.25,64,high
+350904,Gumukmas,91,78,22.75,80,low
+350905,Umbulsari,115,88,28.75,74,low
+350906,Tanggul,266,213,66.5,39,high
+350907,Semboro,94,89,23.5,79,low
+350908,Puger,180,160,45,59,high
+350909,Bangsalsari,154,132,38.5,65,high
+350910,Balung,278,223,69.5,37,high
+350911,Wuluhan,216,176,54,51,high
+350912,Ambulu,157,124,39.25,64,high
+350913,Rambipuji,278,170,69.5,37,low
+350914,Panti,139,109,34.75,69,low
+350915,Sukorambi,77,55,19.25,83,low
+350916,Jenggawah,235,224,58.75,47,high
+350917,Ajung,88,77,22,80,low
+350918,Tempurejo,74,48,18.5,84,low
+350919,Kaliwates,194,139,48.5,56,medium
+350920,Patrang,202,145,50.5,54,medium
+350921,Sumbersari,217,138,54.25,51,medium
+350922,Arjasa,116,81,29,74,low
+350923,Mumbulsari,99,81,24.75,78,low
+350924,Pakusari,152,129,38,66,low
+350925,Jelbuk,132,90,33,70,low
+350926,Mayang,89,60,22.25,80,low
+350927,Kalisat,270,163,67.5,39,high
+350928,Ledokombo,103,76,25.75,77,low
+350929,Sukowono,171,125,42.75,61,low
+350930,Silo,143,85,35.75,68,high
+350931,Sumberjambe,109,94,27.25,75,low
diff --git a/sigap-website/prisma/data/excels/crimes/crime_yearly_by_type.csv b/sigap-website/prisma/data/excels/crimes/crime_yearly_by_type.csv
index ac39a1c..6a27a07 100644
--- a/sigap-website/prisma/data/excels/crimes/crime_yearly_by_type.csv
+++ b/sigap-website/prisma/data/excels/crimes/crime_yearly_by_type.csv
@@ -1,156 +1,187 @@
-district_id,district_name,number_of_crime,level,score,method,year
-350901,Jombang,10,low,93,kmeans,2020
-350901,Jombang,19,low,87,kmeans,2021
-350901,Jombang,4,low,98,kmeans,2022
-350901,Jombang,4,low,98,kmeans,2023
-350901,Jombang,4,low,98,kmeans,2024
-350902,Kencong,6,low,96,kmeans,2022
-350902,Kencong,10,low,93,kmeans,2021
-350902,Kencong,11,low,93,kmeans,2020
-350902,Kencong,7,low,95,kmeans,2023
-350902,Kencong,4,low,98,kmeans,2024
-350903,Sumberbaru,82,medium,42,kmeans,2024
-350903,Sumberbaru,75,medium,47,kmeans,2022
-350903,Sumberbaru,109,medium,23,kmeans,2021
-350903,Sumberbaru,49,medium,65,kmeans,2023
-350903,Sumberbaru,85,medium,40,kmeans,2020
-350904,Gumukmas,101,medium,28,kmeans,2020
-350904,Gumukmas,73,medium,48,kmeans,2022
-350904,Gumukmas,104,medium,26,kmeans,2021
-350904,Gumukmas,74,low,48,kmeans,2024
-350904,Gumukmas,49,low,65,kmeans,2023
-350905,Umbulsari,7,low,95,kmeans,2022
-350905,Umbulsari,5,low,97,kmeans,2023
-350905,Umbulsari,17,low,88,kmeans,2021
-350905,Umbulsari,14,low,90,kmeans,2020
-350905,Umbulsari,2,low,99,kmeans,2024
-350906,Tanggul,102,medium,28,kmeans,2020
-350906,Tanggul,69,medium,51,kmeans,2023
-350906,Tanggul,95,medium,33,kmeans,2021
-350906,Tanggul,29,low,80,kmeans,2024
-350906,Tanggul,93,medium,34,kmeans,2022
-350907,Semboro,6,low,96,kmeans,2022
-350907,Semboro,5,low,97,kmeans,2023
-350907,Semboro,21,low,85,kmeans,2021
-350907,Semboro,4,low,98,kmeans,2024
-350907,Semboro,13,low,91,kmeans,2020
-350908,Puger,102,medium,28,kmeans,2020
-350908,Puger,72,medium,49,kmeans,2024
-350908,Puger,98,medium,30,kmeans,2021
-350908,Puger,94,medium,33,kmeans,2023
-350908,Puger,82,medium,42,kmeans,2022
-350909,Bangsalsari,116,medium,18,kmeans,2022
-350909,Bangsalsari,75,medium,47,kmeans,2023
-350909,Bangsalsari,121,medium,14,kmeans,2021
-350909,Bangsalsari,64,medium,55,kmeans,2024
-350909,Bangsalsari,97,medium,31,kmeans,2020
-350910,Balung,122,medium,13,kmeans,2020
-350910,Balung,92,medium,35,kmeans,2023
-350910,Balung,127,medium,10,kmeans,2021
-350910,Balung,102,medium,28,kmeans,2024
-350910,Balung,81,medium,43,kmeans,2022
-350911,Wuluhan,72,medium,49,kmeans,2022
-350911,Wuluhan,74,medium,48,kmeans,2024
-350911,Wuluhan,132,medium,6,kmeans,2021
-350911,Wuluhan,84,medium,40,kmeans,2023
-350911,Wuluhan,96,medium,32,kmeans,2020
-350912,Ambulu,99,medium,30,kmeans,2020
-350912,Ambulu,70,medium,50,kmeans,2024
-350912,Ambulu,97,medium,31,kmeans,2021
-350912,Ambulu,99,medium,30,kmeans,2023
-350912,Ambulu,77,medium,45,kmeans,2022
-350913,Rambipuji,104,medium,26,kmeans,2022
-350913,Rambipuji,68,medium,52,kmeans,2023
-350913,Rambipuji,103,medium,27,kmeans,2021
-350913,Rambipuji,103,medium,27,kmeans,2020
-350913,Rambipuji,48,medium,66,kmeans,2024
-350914,Panti,11,low,93,kmeans,2020
-350914,Panti,5,low,97,kmeans,2023
-350914,Panti,19,low,87,kmeans,2021
-350914,Panti,3,low,98,kmeans,2024
-350914,Panti,7,low,95,kmeans,2022
-350915,Sukorambi,4,low,98,kmeans,2022
-350915,Sukorambi,5,low,97,kmeans,2024
-350915,Sukorambi,19,low,87,kmeans,2021
-350915,Sukorambi,6,low,96,kmeans,2023
-350915,Sukorambi,11,low,93,kmeans,2020
-350916,Jenggawah,59,medium,58,kmeans,2023
-350916,Jenggawah,66,medium,53,kmeans,2024
-350916,Jenggawah,96,medium,32,kmeans,2022
-350916,Jenggawah,106,medium,25,kmeans,2020
-350916,Jenggawah,111,medium,21,kmeans,2021
-350917,Ajung,107,medium,24,kmeans,2021
-350917,Ajung,82,medium,42,kmeans,2020
-350917,Ajung,95,medium,33,kmeans,2022
-350917,Ajung,82,medium,42,kmeans,2024
-350917,Ajung,63,medium,55,kmeans,2023
-350918,Tempurejo,15,low,90,kmeans,2023
-350918,Tempurejo,17,low,88,kmeans,2024
-350918,Tempurejo,27,low,81,kmeans,2022
-350918,Tempurejo,39,low,73,kmeans,2020
-350918,Tempurejo,49,low,65,kmeans,2021
-350919,Kaliwates,124,high,12,kmeans,2021
-350919,Kaliwates,100,high,29,kmeans,2024
-350919,Kaliwates,93,high,34,kmeans,2022
-350919,Kaliwates,89,high,37,kmeans,2020
-350919,Kaliwates,70,high,50,kmeans,2023
-350920,Patrang,52,high,63,kmeans,2023
-350920,Patrang,104,high,26,kmeans,2024
-350920,Patrang,88,high,38,kmeans,2022
-350920,Patrang,124,high,12,kmeans,2020
-350920,Patrang,140,high,0,kmeans,2021
-350921,Sumbersari,89,high,37,kmeans,2021
-350921,Sumbersari,94,medium,33,kmeans,2020
-350921,Sumbersari,107,high,24,kmeans,2022
-350921,Sumbersari,53,high,63,kmeans,2023
-350921,Sumbersari,79,high,44,kmeans,2024
-350922,Arjasa,6,low,96,kmeans,2023
-350922,Arjasa,8,low,95,kmeans,2020
-350922,Arjasa,14,low,90,kmeans,2022
-350922,Arjasa,3,low,98,kmeans,2024
-350922,Arjasa,26,low,82,kmeans,2021
-350923,Mumbulsari,17,low,88,kmeans,2021
-350923,Mumbulsari,4,low,98,kmeans,2024
-350923,Mumbulsari,2,low,99,kmeans,2022
-350923,Mumbulsari,10,low,93,kmeans,2020
-350923,Mumbulsari,2,low,99,kmeans,2023
-350924,Pakusari,7,low,95,kmeans,2023
-350924,Pakusari,3,low,98,kmeans,2024
-350924,Pakusari,10,low,93,kmeans,2022
-350924,Pakusari,11,low,93,kmeans,2020
-350924,Pakusari,21,low,85,kmeans,2021
-350925,Jelbuk,21,low,85,kmeans,2021
-350925,Jelbuk,12,low,92,kmeans,2020
-350925,Jelbuk,6,low,96,kmeans,2022
-350925,Jelbuk,0,low,100,kmeans,2024
-350925,Jelbuk,3,low,98,kmeans,2023
-350926,Mayang,7,low,95,kmeans,2023
-350926,Mayang,16,low,89,kmeans,2020
-350926,Mayang,6,low,96,kmeans,2022
-350926,Mayang,18,low,88,kmeans,2021
-350926,Mayang,4,low,98,kmeans,2024
-350927,Kalisat,16,low,89,kmeans,2020
-350927,Kalisat,15,low,90,kmeans,2021
-350927,Kalisat,4,low,98,kmeans,2023
-350927,Kalisat,5,low,97,kmeans,2022
-350927,Kalisat,5,low,97,kmeans,2024
-350928,Ledokombo,5,low,97,kmeans,2024
-350928,Ledokombo,18,low,88,kmeans,2021
-350928,Ledokombo,10,low,93,kmeans,2020
-350928,Ledokombo,10,low,93,kmeans,2022
-350928,Ledokombo,4,low,98,kmeans,2023
-350929,Sukowono,6,low,96,kmeans,2023
-350929,Sukowono,7,low,95,kmeans,2022
-350929,Sukowono,11,low,93,kmeans,2020
-350929,Sukowono,20,low,86,kmeans,2021
-350929,Sukowono,2,low,99,kmeans,2024
-350930,Silo,68,medium,52,kmeans,2024
-350930,Silo,86,medium,39,kmeans,2022
-350930,Silo,81,medium,43,kmeans,2023
-350930,Silo,89,medium,37,kmeans,2021
-350930,Silo,109,medium,23,kmeans,2020
-350931,Sumberjambe,7,low,95,kmeans,2020
-350931,Sumberjambe,19,low,87,kmeans,2021
-350931,Sumberjambe,8,low,95,kmeans,2023
-350931,Sumberjambe,5,low,97,kmeans,2022
-350931,Sumberjambe,4,low,98,kmeans,2024
+district_id,district_name,number_of_crime,avg_crime,crime_cleared,level,score,method,year
+350901,Jombang,10,0.83,10,low,93,kmeans,2020
+350901,Jombang,19,1.58,19,low,87,kmeans,2021
+350901,Jombang,4,0.33,4,low,98,kmeans,2022
+350901,Jombang,4,0.33,4,low,98,kmeans,2023
+350901,Jombang,4,0.33,4,low,98,kmeans,2024
+350901,Jombang,71,5.92,40,medium,50,kmeans,2025
+350902,Kencong,11,0.92,9,low,93,kmeans,2020
+350902,Kencong,10,0.83,10,low,93,kmeans,2021
+350902,Kencong,6,0.5,6,low,96,kmeans,2022
+350902,Kencong,7,0.58,7,low,95,kmeans,2023
+350902,Kencong,4,0.33,5,low,98,kmeans,2024
+350902,Kencong,57,4.75,7,medium,60,kmeans,2025
+350903,Sumberbaru,85,7.08,73,medium,40,kmeans,2020
+350903,Sumberbaru,109,9.08,87,medium,23,kmeans,2021
+350903,Sumberbaru,75,6.25,63,medium,47,kmeans,2022
+350903,Sumberbaru,49,4.08,39,medium,65,kmeans,2023
+350903,Sumberbaru,82,6.83,70,medium,42,kmeans,2024
+350903,Sumberbaru,58,4.83,38,medium,59,kmeans,2025
+350904,Gumukmas,101,8.42,80,medium,28,kmeans,2020
+350904,Gumukmas,104,8.67,88,medium,26,kmeans,2021
+350904,Gumukmas,73,6.08,69,medium,48,kmeans,2022
+350904,Gumukmas,49,4.08,40,medium,65,kmeans,2023
+350904,Gumukmas,74,6.17,60,low,48,kmeans,2024
+350904,Gumukmas,55,4.58,32,medium,61,kmeans,2025
+350905,Umbulsari,14,1.17,13,low,90,kmeans,2020
+350905,Umbulsari,17,1.42,17,low,88,kmeans,2021
+350905,Umbulsari,7,0.58,7,low,95,kmeans,2022
+350905,Umbulsari,5,0.42,5,low,97,kmeans,2023
+350905,Umbulsari,2,0.17,2,low,99,kmeans,2024
+350905,Umbulsari,79,6.58,33,medium,44,kmeans,2025
+350906,Tanggul,102,8.5,78,medium,28,kmeans,2020
+350906,Tanggul,95,7.92,86,medium,33,kmeans,2021
+350906,Tanggul,93,7.75,83,medium,34,kmeans,2022
+350906,Tanggul,69,5.75,63,medium,51,kmeans,2023
+350906,Tanggul,29,2.42,27,low,80,kmeans,2024
+350906,Tanggul,113,9.42,20,medium,20,kmeans,2025
+350907,Semboro,13,1.08,11,low,91,kmeans,2020
+350907,Semboro,21,1.75,21,low,85,kmeans,2021
+350907,Semboro,6,0.5,6,low,96,kmeans,2022
+350907,Semboro,5,0.42,5,low,97,kmeans,2023
+350907,Semboro,4,0.33,4,low,98,kmeans,2024
+350907,Semboro,78,6.5,32,medium,45,kmeans,2025
+350908,Puger,102,8.5,85,medium,28,kmeans,2020
+350908,Puger,98,8.17,84,medium,30,kmeans,2021
+350908,Puger,82,6.83,74,medium,42,kmeans,2022
+350908,Puger,94,7.83,76,medium,33,kmeans,2023
+350908,Puger,72,6,66,medium,49,kmeans,2024
+350908,Puger,105,8.75,64,medium,25,kmeans,2025
+350909,Bangsalsari,97,8.08,80,medium,31,kmeans,2020
+350909,Bangsalsari,121,10.08,103,medium,14,kmeans,2021
+350909,Bangsalsari,116,9.67,102,medium,18,kmeans,2022
+350909,Bangsalsari,75,6.25,65,medium,47,kmeans,2023
+350909,Bangsalsari,64,5.33,53,medium,55,kmeans,2024
+350909,Bangsalsari,95,7.92,55,medium,33,kmeans,2025
+350910,Balung,122,10.17,94,medium,13,kmeans,2020
+350910,Balung,127,10.58,104,medium,10,kmeans,2021
+350910,Balung,81,6.75,71,medium,43,kmeans,2022
+350910,Balung,92,7.67,74,medium,35,kmeans,2023
+350910,Balung,102,8.5,79,medium,28,kmeans,2024
+350910,Balung,58,4.83,16,medium,59,kmeans,2025
+350911,Wuluhan,96,8,77,medium,32,kmeans,2020
+350911,Wuluhan,132,11,103,medium,6,kmeans,2021
+350911,Wuluhan,72,6,67,medium,49,kmeans,2022
+350911,Wuluhan,84,7,70,medium,40,kmeans,2023
+350911,Wuluhan,74,6.17,62,medium,48,kmeans,2024
+350911,Wuluhan,62,5.17,31,medium,56,kmeans,2025
+350912,Ambulu,99,8.25,79,medium,30,kmeans,2020
+350912,Ambulu,97,8.08,83,medium,31,kmeans,2021
+350912,Ambulu,77,6.42,73,medium,45,kmeans,2022
+350912,Ambulu,99,8.25,75,medium,30,kmeans,2023
+350912,Ambulu,70,5.83,56,medium,50,kmeans,2024
+350912,Ambulu,92,7.67,55,medium,35,kmeans,2025
+350913,Rambipuji,103,8.58,86,medium,27,kmeans,2020
+350913,Rambipuji,103,8.58,91,medium,27,kmeans,2021
+350913,Rambipuji,104,8.67,96,medium,26,kmeans,2022
+350913,Rambipuji,68,5.67,58,medium,52,kmeans,2023
+350913,Rambipuji,48,4,42,medium,66,kmeans,2024
+350913,Rambipuji,74,6.17,47,medium,48,kmeans,2025
+350914,Panti,11,0.92,9,low,93,kmeans,2020
+350914,Panti,19,1.58,19,low,87,kmeans,2021
+350914,Panti,7,0.58,7,low,95,kmeans,2022
+350914,Panti,5,0.42,5,low,97,kmeans,2023
+350914,Panti,3,0.25,3,low,98,kmeans,2024
+350914,Panti,90,7.5,54,medium,36,kmeans,2025
+350915,Sukorambi,11,0.92,10,low,93,kmeans,2020
+350915,Sukorambi,19,1.58,19,low,87,kmeans,2021
+350915,Sukorambi,4,0.33,4,low,98,kmeans,2022
+350915,Sukorambi,6,0.5,6,low,96,kmeans,2023
+350915,Sukorambi,5,0.42,5,low,97,kmeans,2024
+350915,Sukorambi,89,7.42,21,medium,37,kmeans,2025
+350916,Jenggawah,106,8.83,83,medium,25,kmeans,2020
+350916,Jenggawah,111,9.25,92,medium,21,kmeans,2021
+350916,Jenggawah,96,8,80,medium,32,kmeans,2022
+350916,Jenggawah,59,4.92,54,medium,58,kmeans,2023
+350916,Jenggawah,66,5.5,53,medium,53,kmeans,2024
+350916,Jenggawah,77,6.42,27,medium,45,kmeans,2025
+350917,Ajung,82,6.83,71,medium,42,kmeans,2020
+350917,Ajung,107,8.92,92,medium,24,kmeans,2021
+350917,Ajung,95,7.92,87,medium,33,kmeans,2022
+350917,Ajung,63,5.25,56,medium,55,kmeans,2023
+350917,Ajung,82,6.83,57,medium,42,kmeans,2024
+350917,Ajung,87,7.25,66,medium,38,kmeans,2025
+350918,Tempurejo,39,3.25,35,low,73,kmeans,2020
+350918,Tempurejo,49,4.08,48,low,65,kmeans,2021
+350918,Tempurejo,27,2.25,27,low,81,kmeans,2022
+350918,Tempurejo,15,1.25,16,low,90,kmeans,2023
+350918,Tempurejo,17,1.42,17,low,88,kmeans,2024
+350918,Tempurejo,61,5.08,26,medium,57,kmeans,2025
+350919,Kaliwates,89,7.42,73,high,37,kmeans,2020
+350919,Kaliwates,124,10.33,105,high,12,kmeans,2021
+350919,Kaliwates,93,7.75,80,high,34,kmeans,2022
+350919,Kaliwates,70,5.83,60,high,50,kmeans,2023
+350919,Kaliwates,100,8.33,82,high,29,kmeans,2024
+350919,Kaliwates,71,5.92,46,medium,50,kmeans,2025
+350920,Patrang,124,10.33,98,high,12,kmeans,2020
+350920,Patrang,140,11.67,110,high,0,kmeans,2021
+350920,Patrang,88,7.33,83,high,38,kmeans,2022
+350920,Patrang,52,4.33,48,high,63,kmeans,2023
+350920,Patrang,104,8.67,77,high,26,kmeans,2024
+350920,Patrang,66,5.5,27,medium,53,kmeans,2025
+350921,Sumbersari,94,7.83,77,medium,33,kmeans,2020
+350921,Sumbersari,89,7.42,79,high,37,kmeans,2021
+350921,Sumbersari,107,8.92,89,high,24,kmeans,2022
+350921,Sumbersari,53,4.42,51,high,63,kmeans,2023
+350921,Sumbersari,79,6.58,63,high,44,kmeans,2024
+350921,Sumbersari,107,8.92,42,medium,24,kmeans,2025
+350922,Arjasa,8,0.67,6,low,95,kmeans,2020
+350922,Arjasa,26,2.17,26,low,82,kmeans,2021
+350922,Arjasa,14,1.17,14,low,90,kmeans,2022
+350922,Arjasa,6,0.5,6,low,96,kmeans,2023
+350922,Arjasa,3,0.25,4,low,98,kmeans,2024
+350922,Arjasa,99,8.25,56,medium,30,kmeans,2025
+350923,Mumbulsari,10,0.83,9,low,93,kmeans,2020
+350923,Mumbulsari,17,1.42,18,low,88,kmeans,2021
+350923,Mumbulsari,2,0.17,2,low,99,kmeans,2022
+350923,Mumbulsari,2,0.17,2,low,99,kmeans,2023
+350923,Mumbulsari,4,0.33,4,low,98,kmeans,2024
+350923,Mumbulsari,68,5.67,35,medium,52,kmeans,2025
+350924,Pakusari,11,0.92,12,low,93,kmeans,2020
+350924,Pakusari,21,1.75,21,low,85,kmeans,2021
+350924,Pakusari,10,0.83,10,low,93,kmeans,2022
+350924,Pakusari,7,0.58,7,low,95,kmeans,2023
+350924,Pakusari,3,0.25,3,low,98,kmeans,2024
+350924,Pakusari,61,5.08,43,medium,57,kmeans,2025
+350925,Jelbuk,12,1,11,low,92,kmeans,2020
+350925,Jelbuk,21,1.75,21,low,85,kmeans,2021
+350925,Jelbuk,6,0.5,6,low,96,kmeans,2022
+350925,Jelbuk,3,0.25,3,low,98,kmeans,2023
+350925,Jelbuk,0,0,0,low,100,kmeans,2024
+350925,Jelbuk,102,8.5,76,medium,28,kmeans,2025
+350926,Mayang,16,1.33,15,low,89,kmeans,2020
+350926,Mayang,18,1.5,19,low,88,kmeans,2021
+350926,Mayang,6,0.5,6,low,96,kmeans,2022
+350926,Mayang,7,0.58,7,low,95,kmeans,2023
+350926,Mayang,4,0.33,4,low,98,kmeans,2024
+350926,Mayang,90,7.5,46,medium,36,kmeans,2025
+350927,Kalisat,16,1.33,15,low,89,kmeans,2020
+350927,Kalisat,15,1.25,16,low,90,kmeans,2021
+350927,Kalisat,5,0.42,5,low,97,kmeans,2022
+350927,Kalisat,4,0.33,4,low,98,kmeans,2023
+350927,Kalisat,5,0.42,5,low,97,kmeans,2024
+350927,Kalisat,67,5.58,46,medium,53,kmeans,2025
+350928,Ledokombo,10,0.83,8,low,93,kmeans,2020
+350928,Ledokombo,18,1.5,18,low,88,kmeans,2021
+350928,Ledokombo,10,0.83,10,low,93,kmeans,2022
+350928,Ledokombo,4,0.33,4,low,98,kmeans,2023
+350928,Ledokombo,5,0.42,5,low,97,kmeans,2024
+350928,Ledokombo,71,5.92,46,medium,50,kmeans,2025
+350929,Sukowono,11,0.92,11,low,93,kmeans,2020
+350929,Sukowono,20,1.67,20,low,86,kmeans,2021
+350929,Sukowono,7,0.58,7,low,95,kmeans,2022
+350929,Sukowono,6,0.5,6,low,96,kmeans,2023
+350929,Sukowono,2,0.17,3,low,99,kmeans,2024
+350929,Sukowono,66,5.5,30,medium,53,kmeans,2025
+350930,Silo,109,9.08,92,medium,23,kmeans,2020
+350930,Silo,89,7.42,79,medium,37,kmeans,2021
+350930,Silo,86,7.17,80,medium,39,kmeans,2022
+350930,Silo,81,6.75,68,medium,43,kmeans,2023
+350930,Silo,68,5.67,62,medium,52,kmeans,2024
+350930,Silo,89,7.42,27,medium,37,kmeans,2025
+350931,Sumberjambe,7,0.58,8,low,95,kmeans,2020
+350931,Sumberjambe,19,1.58,19,low,87,kmeans,2021
+350931,Sumberjambe,5,0.42,5,low,97,kmeans,2022
+350931,Sumberjambe,8,0.67,8,low,95,kmeans,2023
+350931,Sumberjambe,4,0.33,4,low,98,kmeans,2024
+350931,Sumberjambe,98,8.17,56,medium,30,kmeans,2025
diff --git a/sigap-website/prisma/data/excels/crimes/crime_yearly_by_unit.csv b/sigap-website/prisma/data/excels/crimes/crime_yearly_by_unit.csv
new file mode 100644
index 0000000..cbcda85
--- /dev/null
+++ b/sigap-website/prisma/data/excels/crimes/crime_yearly_by_unit.csv
@@ -0,0 +1,156 @@
+district_id,district_name,number_of_crime,crime_cleared,avg_crime,level,score,method,year
+350901,Jombang,16,14,1.33,low,86,kmeans,2020
+350901,Jombang,32,28,2.67,low,71,kmeans,2021
+350901,Jombang,23,21,1.92,low,79,kmeans,2022
+350901,Jombang,26,26,2.17,low,77,kmeans,2023
+350901,Jombang,21,21,1.75,low,81,kmeans,2024
+350902,Kencong,11,9,0.92,low,90,kmeans,2020
+350902,Kencong,18,14,1.50,low,84,kmeans,2021
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diff --git a/sigap-website/prisma/data/excels/others/crime_incident_monthly_by_type_detailed.csv b/sigap-website/prisma/data/excels/others/crime_incident_monthly_by_type_detailed.csv
new file mode 100644
index 0000000..739b5ca
--- /dev/null
+++ b/sigap-website/prisma/data/excels/others/crime_incident_monthly_by_type_detailed.csv
@@ -0,0 +1,1861 @@
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diff --git a/sigap-website/prisma/data/jsons/crimes/cbt.json b/sigap-website/prisma/data/jsons/crimes/cbt.json
new file mode 100644
index 0000000..70dc22b
--- /dev/null
+++ b/sigap-website/prisma/data/jsons/crimes/cbt.json
@@ -0,0 +1,271562 @@
+[
+  {
+    "city_id": 3509,
+    "city_name": "Jember",
+    "district_id": 350901,
+    "district_name": "Jombang",
+    "number_of_unemployed": 19330,
+    "population_density": 899.8200468,
+    "number_of_crime": 0,
+    "crime_cleared": 0,
+    "month": "JAN",
+    "year": 2020,
+    "TERHADAP KETERTIBAN UMUM_crimes": 0,
+    "TERHADAP KETERTIBAN UMUM_cleared": 0,
+    "MEMBAHAYAKAN KAM UMUM_crimes": 0,
+    "MEMBAHAYAKAN KAM UMUM_cleared": 0,
+    "PEMBAKARAN_crimes": 0,
+    "PEMBAKARAN_cleared": 0,
+    "KEBAKARAN / MELETUS_crimes": 0,
+    "KEBAKARAN / MELETUS_cleared": 0,
+    "MEMBER SUAP_crimes": 0,
+    "MEMBER SUAP_cleared": 0,
+    "SUMPAH PALSU_crimes": 0,
+    "SUMPAH PALSU_cleared": 0,
+    "PEMALSUAN MATERAI_crimes": 0,
+    "PEMALSUAN MATERAI_cleared": 0,
+    "PEMALSUAN SURAT_crimes": 0,
+    "PEMALSUAN SURAT_cleared": 0,
+    "PERZINAHAN_crimes": 0,
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+    "PERKOSAAN_cleared": 0,
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+    "PENGHINAAN_cleared": 0,
+    "PENCULIKAN_crimes": 0,
+    "PENCULIKAN_cleared": 0,
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+    "PERBUATAN TIDAK MENYENANGKAN_cleared": 0,
+    "PEMBUNUHAN_crimes": 0,
+    "PEMBUNUHAN_cleared": 0,
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+    "PENGANIAYAAN BERAT_crimes": 0,
+    "PENGANIAYAAN BERAT_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_cleared": 0,
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+    "CURAT_crimes": 0,
+    "CURAT_cleared": 0,
+    "CURINGAN_crimes": 0,
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+    "CURAS_crimes": 0,
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+    "CURANMOR_cleared": 0,
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+    "PREMANISME_cleared": 0,
+    "PEMERASAN DAN PENGANCAMAN_crimes": 0,
+    "PEMERASAN DAN PENGANCAMAN_cleared": 0,
+    "PENGGELAPAN_crimes": 0,
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+    "PERZINAHAN_cleared": 0,
+    "PERKOSAAN_crimes": 0,
+    "PERKOSAAN_cleared": 0,
+    "PERJUDIAN_crimes": 0,
+    "PERJUDIAN_cleared": 0,
+    "PENGHINAAN_crimes": 0,
+    "PENGHINAAN_cleared": 0,
+    "PENCULIKAN_crimes": 0,
+    "PENCULIKAN_cleared": 0,
+    "PERBUATAN TIDAK MENYENANGKAN_crimes": 0,
+    "PERBUATAN TIDAK MENYENANGKAN_cleared": 0,
+    "PEMBUNUHAN_crimes": 0,
+    "PEMBUNUHAN_cleared": 0,
+    "PENGANIAYAAN RINGAN_crimes": 0,
+    "PENGANIAYAAN RINGAN_cleared": 0,
+    "PENGANIAYAAN BERAT_crimes": 0,
+    "PENGANIAYAAN BERAT_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_cleared": 0,
+    "PENCURIAN BIASA_crimes": 0,
+    "PENCURIAN BIASA_cleared": 0,
+    "CURAT_crimes": 0,
+    "CURAT_cleared": 0,
+    "CURINGAN_crimes": 0,
+    "CURINGAN_cleared": 0,
+    "CURAS_crimes": 0,
+    "CURAS_cleared": 0,
+    "CURANMOR_crimes": 0,
+    "CURANMOR_cleared": 0,
+    "PENGEROYOKAN_crimes": 0,
+    "PENGEROYOKAN_cleared": 0,
+    "PREMANISME_crimes": 0,
+    "PREMANISME_cleared": 0,
+    "PEMERASAN DAN PENGANCAMAN_crimes": 0,
+    "PEMERASAN DAN PENGANCAMAN_cleared": 0,
+    "PENGGELAPAN_crimes": 0,
+    "PENGGELAPAN_cleared": 0,
+    "PENIPUAN_crimes": 0,
+    "PENIPUAN_cleared": 0,
+    "PENGRUSAKAN_crimes": 0,
+    "PENGRUSAKAN_cleared": 0,
+    "KENAKALAN REMAJA_crimes": 0,
+    "KENAKALAN REMAJA_cleared": 0,
+    "MENERIMA SUAP_crimes": 0,
+    "MENERIMA SUAP_cleared": 0,
+    "PENADAHAN_crimes": 0,
+    "PENADAHAN_cleared": 0,
+    "PEKERJAKAN ANAK_crimes": 0,
+    "PEKERJAKAN ANAK_cleared": 0,
+    "AGRARIA_crimes": 0,
+    "AGRARIA_cleared": 0,
+    "PERADILAN ANAK_crimes": 0,
+    "PERADILAN ANAK_cleared": 0,
+    "PERLINDUNGAN ANAK_crimes": 0,
+    "PERLINDUNGAN ANAK_cleared": 0,
+    "PKDRT_crimes": 0,
+    "PKDRT_cleared": 0,
+    "PERLINDUNGAN TKI_crimes": 0,
+    "PERLINDUNGAN TKI_cleared": 0,
+    "PERLINDUNGAN SAKSI/KORBAN_crimes": 0,
+    "PERLINDUNGAN SAKSI/KORBAN_cleared": 0,
+    "PTPPO_crimes": 0,
+    "PTPPO_cleared": 0,
+    "PORNOGRAFI_crimes": 0,
+    "PORNOGRAFI_cleared": 0,
+    "SISTEM PERADILAN ANAK_crimes": 0,
+    "SISTEM PERADILAN ANAK_cleared": 0,
+    "PENYELENGGARAN PEMILU_crimes": 0,
+    "PENYELENGGARAN PEMILU_cleared": 0,
+    "PEMERINTAH DAERAH_crimes": 0,
+    "PEMERINTAH DAERAH_cleared": 0,
+    "KEIMIGRASIAN_crimes": 0,
+    "KEIMIGRASIAN_cleared": 0,
+    "EKSTRADISI_crimes": 0,
+    "EKSTRADISI_cleared": 0,
+    "LAHGUN SENPI/HANDAK/SAJAM_crimes": 0,
+    "LAHGUN SENPI/HANDAK/SAJAM_cleared": 0,
+    "MONEY LOUDERING_crimes": 0,
+    "MONEY LOUDERING_cleared": 0,
+    "TRAFICKING IN PERSON_crimes": 0,
+    "TRAFICKING IN PERSON_cleared": 0,
+    "SELUNDUP SENPI_crimes": 0,
+    "SELUNDUP SENPI_cleared": 0,
+    "TRANS ECONOMI CRIME_crimes": 0,
+    "TRANS ECONOMI CRIME_cleared": 0,
+    "ILLEGAL LOGGING_crimes": 0,
+    "ILLEGAL LOGGING_cleared": 0,
+    "ILLEGAL MINING_crimes": 0,
+    "ILLEGAL MINING_cleared": 0,
+    "ILLEGAL FISHING_crimes": 0,
+    "ILLEGAL FISHING_cleared": 0,
+    "BBM ILLEGAL_crimes": 0,
+    "BBM ILLEGAL_cleared": 0,
+    "NIAGA PUPUK_crimes": 0,
+    "NIAGA PUPUK_cleared": 0,
+    "ITE_crimes": 0,
+    "ITE_cleared": 0,
+    "UPAL_crimes": 0,
+    "UPAL_cleared": 0,
+    "FIDUSIA_crimes": 0,
+    "FIDUSIA_cleared": 0,
+    "KORUPSI_crimes": 0,
+    "KORUPSI_cleared": 0,
+    "PIDUM LAINNYA_crimes": 0,
+    "PIDUM LAINNYA_cleared": 0,
+    "PIDTER LAINNYA_crimes": 0,
+    "PIDTER LAINNYA_cleared": 0,
+    "SATWA_crimes": 0,
+    "SATWA_cleared": 0,
+    "PERLINDUNGAN KONSUMEN_crimes": 0,
+    "PERLINDUNGAN KONSUMEN_cleared": 0,
+    "KONFLIK ETNIS_crimes": 0,
+    "KONFLIK ETNIS_cleared": 0,
+    "SEPARATISME_crimes": 0,
+    "SEPARATISME_cleared": 0
+  },
+  {
+    "city_id": 3509,
+    "city_name": "Jember",
+    "district_id": 350931,
+    "district_name": "Sumberjambe",
+    "number_of_unemployed": 15480,
+    "population_density": 481.8447573,
+    "number_of_crime": 1,
+    "crime_cleared": 1,
+    "month": "SEP",
+    "year": 2023,
+    "TERHADAP KETERTIBAN UMUM_crimes": 0,
+    "TERHADAP KETERTIBAN UMUM_cleared": 0,
+    "MEMBAHAYAKAN KAM UMUM_crimes": 0,
+    "MEMBAHAYAKAN KAM UMUM_cleared": 0,
+    "PEMBAKARAN_crimes": 0,
+    "PEMBAKARAN_cleared": 0,
+    "KEBAKARAN / MELETUS_crimes": 0,
+    "KEBAKARAN / MELETUS_cleared": 0,
+    "MEMBER SUAP_crimes": 0,
+    "MEMBER SUAP_cleared": 0,
+    "SUMPAH PALSU_crimes": 0,
+    "SUMPAH PALSU_cleared": 0,
+    "PEMALSUAN MATERAI_crimes": 0,
+    "PEMALSUAN MATERAI_cleared": 0,
+    "PEMALSUAN SURAT_crimes": 0,
+    "PEMALSUAN SURAT_cleared": 0,
+    "PERZINAHAN_crimes": 0,
+    "PERZINAHAN_cleared": 0,
+    "PERKOSAAN_crimes": 0,
+    "PERKOSAAN_cleared": 0,
+    "PERJUDIAN_crimes": 0,
+    "PERJUDIAN_cleared": 0,
+    "PENGHINAAN_crimes": 0,
+    "PENGHINAAN_cleared": 0,
+    "PENCULIKAN_crimes": 0,
+    "PENCULIKAN_cleared": 0,
+    "PERBUATAN TIDAK MENYENANGKAN_crimes": 0,
+    "PERBUATAN TIDAK MENYENANGKAN_cleared": 0,
+    "PEMBUNUHAN_crimes": 0,
+    "PEMBUNUHAN_cleared": 0,
+    "PENGANIAYAAN RINGAN_crimes": 1,
+    "PENGANIAYAAN RINGAN_cleared": 1,
+    "PENGANIAYAAN BERAT_crimes": 0,
+    "PENGANIAYAAN BERAT_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_cleared": 0,
+    "PENCURIAN BIASA_crimes": 0,
+    "PENCURIAN BIASA_cleared": 0,
+    "CURAT_crimes": 0,
+    "CURAT_cleared": 0,
+    "CURINGAN_crimes": 0,
+    "CURINGAN_cleared": 0,
+    "CURAS_crimes": 0,
+    "CURAS_cleared": 0,
+    "CURANMOR_crimes": 0,
+    "CURANMOR_cleared": 0,
+    "PENGEROYOKAN_crimes": 0,
+    "PENGEROYOKAN_cleared": 0,
+    "PREMANISME_crimes": 0,
+    "PREMANISME_cleared": 0,
+    "PEMERASAN DAN PENGANCAMAN_crimes": 0,
+    "PEMERASAN DAN PENGANCAMAN_cleared": 0,
+    "PENGGELAPAN_crimes": 0,
+    "PENGGELAPAN_cleared": 0,
+    "PENIPUAN_crimes": 0,
+    "PENIPUAN_cleared": 0,
+    "PENGRUSAKAN_crimes": 0,
+    "PENGRUSAKAN_cleared": 0,
+    "KENAKALAN REMAJA_crimes": 0,
+    "KENAKALAN REMAJA_cleared": 0,
+    "MENERIMA SUAP_crimes": 0,
+    "MENERIMA SUAP_cleared": 0,
+    "PENADAHAN_crimes": 0,
+    "PENADAHAN_cleared": 0,
+    "PEKERJAKAN ANAK_crimes": 0,
+    "PEKERJAKAN ANAK_cleared": 0,
+    "AGRARIA_crimes": 0,
+    "AGRARIA_cleared": 0,
+    "PERADILAN ANAK_crimes": 0,
+    "PERADILAN ANAK_cleared": 0,
+    "PERLINDUNGAN ANAK_crimes": 0,
+    "PERLINDUNGAN ANAK_cleared": 0,
+    "PKDRT_crimes": 0,
+    "PKDRT_cleared": 0,
+    "PERLINDUNGAN TKI_crimes": 0,
+    "PERLINDUNGAN TKI_cleared": 0,
+    "PERLINDUNGAN SAKSI/KORBAN_crimes": 0,
+    "PERLINDUNGAN SAKSI/KORBAN_cleared": 0,
+    "PTPPO_crimes": 0,
+    "PTPPO_cleared": 0,
+    "PORNOGRAFI_crimes": 0,
+    "PORNOGRAFI_cleared": 0,
+    "SISTEM PERADILAN ANAK_crimes": 0,
+    "SISTEM PERADILAN ANAK_cleared": 0,
+    "PENYELENGGARAN PEMILU_crimes": 0,
+    "PENYELENGGARAN PEMILU_cleared": 0,
+    "PEMERINTAH DAERAH_crimes": 0,
+    "PEMERINTAH DAERAH_cleared": 0,
+    "KEIMIGRASIAN_crimes": 0,
+    "KEIMIGRASIAN_cleared": 0,
+    "EKSTRADISI_crimes": 0,
+    "EKSTRADISI_cleared": 0,
+    "LAHGUN SENPI/HANDAK/SAJAM_crimes": 0,
+    "LAHGUN SENPI/HANDAK/SAJAM_cleared": 0,
+    "MONEY LOUDERING_crimes": 0,
+    "MONEY LOUDERING_cleared": 0,
+    "TRAFICKING IN PERSON_crimes": 0,
+    "TRAFICKING IN PERSON_cleared": 0,
+    "SELUNDUP SENPI_crimes": 0,
+    "SELUNDUP SENPI_cleared": 0,
+    "TRANS ECONOMI CRIME_crimes": 0,
+    "TRANS ECONOMI CRIME_cleared": 0,
+    "ILLEGAL LOGGING_crimes": 0,
+    "ILLEGAL LOGGING_cleared": 0,
+    "ILLEGAL MINING_crimes": 0,
+    "ILLEGAL MINING_cleared": 0,
+    "ILLEGAL FISHING_crimes": 0,
+    "ILLEGAL FISHING_cleared": 0,
+    "BBM ILLEGAL_crimes": 0,
+    "BBM ILLEGAL_cleared": 0,
+    "NIAGA PUPUK_crimes": 0,
+    "NIAGA PUPUK_cleared": 0,
+    "ITE_crimes": 0,
+    "ITE_cleared": 0,
+    "UPAL_crimes": 0,
+    "UPAL_cleared": 0,
+    "FIDUSIA_crimes": 0,
+    "FIDUSIA_cleared": 0,
+    "KORUPSI_crimes": 0,
+    "KORUPSI_cleared": 0,
+    "PIDUM LAINNYA_crimes": 0,
+    "PIDUM LAINNYA_cleared": 0,
+    "PIDTER LAINNYA_crimes": 0,
+    "PIDTER LAINNYA_cleared": 0,
+    "SATWA_crimes": 0,
+    "SATWA_cleared": 0,
+    "PERLINDUNGAN KONSUMEN_crimes": 0,
+    "PERLINDUNGAN KONSUMEN_cleared": 0,
+    "KONFLIK ETNIS_crimes": 0,
+    "KONFLIK ETNIS_cleared": 0,
+    "SEPARATISME_crimes": 0,
+    "SEPARATISME_cleared": 0
+  },
+  {
+    "city_id": 3509,
+    "city_name": "Jember",
+    "district_id": 350931,
+    "district_name": "Sumberjambe",
+    "number_of_unemployed": 15480,
+    "population_density": 481.8447573,
+    "number_of_crime": 0,
+    "crime_cleared": 0,
+    "month": "JUL",
+    "year": 2023,
+    "TERHADAP KETERTIBAN UMUM_crimes": 0,
+    "TERHADAP KETERTIBAN UMUM_cleared": 0,
+    "MEMBAHAYAKAN KAM UMUM_crimes": 0,
+    "MEMBAHAYAKAN KAM UMUM_cleared": 0,
+    "PEMBAKARAN_crimes": 0,
+    "PEMBAKARAN_cleared": 0,
+    "KEBAKARAN / MELETUS_crimes": 0,
+    "KEBAKARAN / MELETUS_cleared": 0,
+    "MEMBER SUAP_crimes": 0,
+    "MEMBER SUAP_cleared": 0,
+    "SUMPAH PALSU_crimes": 0,
+    "SUMPAH PALSU_cleared": 0,
+    "PEMALSUAN MATERAI_crimes": 0,
+    "PEMALSUAN MATERAI_cleared": 0,
+    "PEMALSUAN SURAT_crimes": 0,
+    "PEMALSUAN SURAT_cleared": 0,
+    "PERZINAHAN_crimes": 0,
+    "PERZINAHAN_cleared": 0,
+    "PERKOSAAN_crimes": 0,
+    "PERKOSAAN_cleared": 0,
+    "PERJUDIAN_crimes": 0,
+    "PERJUDIAN_cleared": 0,
+    "PENGHINAAN_crimes": 0,
+    "PENGHINAAN_cleared": 0,
+    "PENCULIKAN_crimes": 0,
+    "PENCULIKAN_cleared": 0,
+    "PERBUATAN TIDAK MENYENANGKAN_crimes": 0,
+    "PERBUATAN TIDAK MENYENANGKAN_cleared": 0,
+    "PEMBUNUHAN_crimes": 0,
+    "PEMBUNUHAN_cleared": 0,
+    "PENGANIAYAAN RINGAN_crimes": 0,
+    "PENGANIAYAAN RINGAN_cleared": 0,
+    "PENGANIAYAAN BERAT_crimes": 0,
+    "PENGANIAYAAN BERAT_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG MATI_cleared": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_crimes": 0,
+    "KELALAIAN AKIBATKAN ORANG LUKA_cleared": 0,
+    "PENCURIAN BIASA_crimes": 0,
+    "PENCURIAN BIASA_cleared": 0,
+    "CURAT_crimes": 0,
+    "CURAT_cleared": 0,
+    "CURINGAN_crimes": 0,
+    "CURINGAN_cleared": 0,
+    "CURAS_crimes": 0,
+    "CURAS_cleared": 0,
+    "CURANMOR_crimes": 0,
+    "CURANMOR_cleared": 0,
+    "PENGEROYOKAN_crimes": 0,
+    "PENGEROYOKAN_cleared": 0,
+    "PREMANISME_crimes": 0,
+    "PREMANISME_cleared": 0,
+    "PEMERASAN DAN PENGANCAMAN_crimes": 0,
+    "PEMERASAN DAN PENGANCAMAN_cleared": 0,
+    "PENGGELAPAN_crimes": 0,
+    "PENGGELAPAN_cleared": 0,
+    "PENIPUAN_crimes": 0,
+    "PENIPUAN_cleared": 0,
+    "PENGRUSAKAN_crimes": 0,
+    "PENGRUSAKAN_cleared": 0,
+    "KENAKALAN REMAJA_crimes": 0,
+    "KENAKALAN REMAJA_cleared": 0,
+    "MENERIMA SUAP_crimes": 0,
+    "MENERIMA SUAP_cleared": 0,
+    "PENADAHAN_crimes": 0,
+    "PENADAHAN_cleared": 0,
+    "PEKERJAKAN ANAK_crimes": 0,
+    "PEKERJAKAN ANAK_cleared": 0,
+    "AGRARIA_crimes": 0,
+    "AGRARIA_cleared": 0,
+    "PERADILAN ANAK_crimes": 0,
+    "PERADILAN ANAK_cleared": 0,
+    "PERLINDUNGAN ANAK_crimes": 0,
+    "PERLINDUNGAN ANAK_cleared": 0,
+    "PKDRT_crimes": 0,
+    "PKDRT_cleared": 0,
+    "PERLINDUNGAN TKI_crimes": 0,
+    "PERLINDUNGAN TKI_cleared": 0,
+    "PERLINDUNGAN SAKSI/KORBAN_crimes": 0,
+    "PERLINDUNGAN SAKSI/KORBAN_cleared": 0,
+    "PTPPO_crimes": 0,
+    "PTPPO_cleared": 0,
+    "PORNOGRAFI_crimes": 0,
+    "PORNOGRAFI_cleared": 0,
+    "SISTEM PERADILAN ANAK_crimes": 0,
+    "SISTEM PERADILAN ANAK_cleared": 0,
+    "PENYELENGGARAN PEMILU_crimes": 0,
+    "PENYELENGGARAN PEMILU_cleared": 0,
+    "PEMERINTAH DAERAH_crimes": 0,
+    "PEMERINTAH DAERAH_cleared": 0,
+    "KEIMIGRASIAN_crimes": 0,
+    "KEIMIGRASIAN_cleared": 0,
+    "EKSTRADISI_crimes": 0,
+    "EKSTRADISI_cleared": 0,
+    "LAHGUN SENPI/HANDAK/SAJAM_crimes": 0,
+    "LAHGUN SENPI/HANDAK/SAJAM_cleared": 0,
+    "MONEY LOUDERING_crimes": 0,
+    "MONEY LOUDERING_cleared": 0,
+    "TRAFICKING IN PERSON_crimes": 0,
+    "TRAFICKING IN PERSON_cleared": 0,
+    "SELUNDUP SENPI_crimes": 0,
+    "SELUNDUP SENPI_cleared": 0,
+    "TRANS ECONOMI CRIME_crimes": 0,
+    "TRANS ECONOMI CRIME_cleared": 0,
+    "ILLEGAL LOGGING_crimes": 0,
+    "ILLEGAL LOGGING_cleared": 0,
+    "ILLEGAL MINING_crimes": 0,
+    "ILLEGAL MINING_cleared": 0,
+    "ILLEGAL FISHING_crimes": 0,
+    "ILLEGAL FISHING_cleared": 0,
+    "BBM ILLEGAL_crimes": 0,
+    "BBM ILLEGAL_cleared": 0,
+    "NIAGA PUPUK_crimes": 0,
+    "NIAGA PUPUK_cleared": 0,
+    "ITE_crimes": 0,
+    "ITE_cleared": 0,
+    "UPAL_crimes": 0,
+    "UPAL_cleared": 0,
+    "FIDUSIA_crimes": 0,
+    "FIDUSIA_cleared": 0,
+    "KORUPSI_crimes": 0,
+    "KORUPSI_cleared": 0,
+    "PIDUM LAINNYA_crimes": 0,
+    "PIDUM LAINNYA_cleared": 0,
+    "PIDTER LAINNYA_crimes": 0,
+    "PIDTER LAINNYA_cleared": 0,
+    "SATWA_crimes": 0,
+    "SATWA_cleared": 0,
+    "PERLINDUNGAN KONSUMEN_crimes": 0,
+    "PERLINDUNGAN KONSUMEN_cleared": 0,
+    "KONFLIK ETNIS_crimes": 0,
+    "KONFLIK ETNIS_cleared": 0,
+    "SEPARATISME_crimes": 0,
+    "SEPARATISME_cleared": 0
+  }
+]
\ No newline at end of file
diff --git a/sigap-website/prisma/data/jsons/district-center.ts b/sigap-website/prisma/data/jsons/district-center.ts
new file mode 100644
index 0000000..22eaeb8
--- /dev/null
+++ b/sigap-website/prisma/data/jsons/district-center.ts
@@ -0,0 +1,33 @@
+export const districtCenters = [
+    { kecamatan: "Sumbersari", lat: -8.170662, lng: 113.727582 },
+    { kecamatan: "Wuluhan", lat: -8.365478, lng: 113.537137 },
+    { kecamatan: "Bangsalsari", lat: -8.2013, lng: 113.5323 },
+    { kecamatan: "Kaliwates", lat: -8.1725, lng: 113.7000 },
+    { kecamatan: "Puger", lat: -8.477942, lng: 113.370447 },
+    { kecamatan: "Ambulu", lat: -8.381355, lng: 113.608561 },
+    { kecamatan: "Silo", lat: -8.22917, lng: 113.86500 },
+    { kecamatan: "Sumberbaru", lat: -8.119229, lng: 113.392973 },
+    { kecamatan: "Patrang", lat: -8.14611, lng: 113.71250 },
+    { kecamatan: "Tanggul", lat: -8.161572, lng: 113.451239 },
+    { kecamatan: "Jenggawah", lat: -8.296967, lng: 113.656173 },
+    { kecamatan: "Gumukmas", lat: -8.32306, lng: 113.40667 },
+    { kecamatan: "Rambipuji", lat: -8.210581, lng: 113.603610 },
+    { kecamatan: "Ajung", lat: -8.245360, lng: 113.653218 },
+    { kecamatan: "Balung", lat: -8.26861, lng: 113.52667 },
+    { kecamatan: "Tempurejo", lat: -8.4000, lng: 113.8000 },
+    { kecamatan: "Kalisat", lat: -8.1500, lng: 113.8000 },
+    { kecamatan: "Umbulsari", lat: -8.2500, lng: 113.5000 },
+    { kecamatan: "Kencong", lat: -8.3500, lng: 113.4000 },
+    { kecamatan: "Ledokombo", lat: -8.2000, lng: 113.8000 },
+    { kecamatan: "Mumbulsari", lat: -8.3000, lng: 113.6000 },
+    { kecamatan: "Panti", lat: -8.1500, lng: 113.6000 },
+    { kecamatan: "Sumberjambe", lat: -8.1000, lng: 113.8000 },
+    { kecamatan: "Sukowono", lat: -8.2000, lng: 113.7000 },
+    { kecamatan: "Mayang", lat: -8.2500, lng: 113.7000 },
+    { kecamatan: "Semboro", lat: -8.3000, lng: 113.5000 },
+    { kecamatan: "Jombang", lat: -8.3500, lng: 113.5000 },
+    { kecamatan: "Pakusari", lat: -8.2000, lng: 113.7000 },
+    { kecamatan: "Arjasa", lat: -8.1500, lng: 113.7000 },
+    { kecamatan: "Sukorambi", lat: -8.2000, lng: 113.6000 },
+    { kecamatan: "Jelbuk", lat: -8.1000, lng: 113.7000 },
+];
diff --git a/sigap-website/prisma/migrations/20250511074520_make_year_nullable/migration.sql b/sigap-website/prisma/migrations/20250511074520_make_year_nullable/migration.sql
new file mode 100644
index 0000000..f3124d0
--- /dev/null
+++ b/sigap-website/prisma/migrations/20250511074520_make_year_nullable/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "crimes" ALTER COLUMN "year" DROP NOT NULL;
diff --git a/sigap-website/prisma/migrations/20250511103440_test_table/migration.sql b/sigap-website/prisma/migrations/20250511103440_test_table/migration.sql
new file mode 100644
index 0000000..adb12dd
--- /dev/null
+++ b/sigap-website/prisma/migrations/20250511103440_test_table/migration.sql
@@ -0,0 +1,12 @@
+-- CreateTable
+CREATE TABLE "test" (
+    "id" UUID NOT NULL DEFAULT gen_random_uuid(),
+    "name" VARCHAR(100) NOT NULL,
+    "created_at" TIMESTAMPTZ(6) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMPTZ(6) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+
+    CONSTRAINT "test_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateIndex
+CREATE INDEX "idx_test_name" ON "test"("name");
diff --git a/sigap-website/prisma/migrations/20250511105354_add_crime_cleared_to_crimes_table/migration.sql b/sigap-website/prisma/migrations/20250511105354_add_crime_cleared_to_crimes_table/migration.sql
new file mode 100644
index 0000000..04659eb
--- /dev/null
+++ b/sigap-website/prisma/migrations/20250511105354_add_crime_cleared_to_crimes_table/migration.sql
@@ -0,0 +1,11 @@
+/*
+  Warnings:
+
+  - You are about to drop the `test` table. If the table is not empty, all the data it contains will be lost.
+
+*/
+-- AlterTable
+ALTER TABLE "crimes" ADD COLUMN     "crime_cleared" INTEGER NOT NULL DEFAULT 0;
+
+-- DropTable
+DROP TABLE "test";
diff --git a/sigap-website/prisma/migrations/20250511105911_add_city_id_to_units/migration.sql b/sigap-website/prisma/migrations/20250511105911_add_city_id_to_units/migration.sql
new file mode 100644
index 0000000..924cf30
--- /dev/null
+++ b/sigap-website/prisma/migrations/20250511105911_add_city_id_to_units/migration.sql
@@ -0,0 +1,12 @@
+/*
+  Warnings:
+
+  - Added the required column `city_id` to the `units` table without a default value. This is not possible if the table is not empty.
+
+*/
+-- AlterTable
+ALTER TABLE "units" ADD COLUMN     "city_id" VARCHAR(20) NOT NULL,
+ALTER COLUMN "district_id" DROP NOT NULL;
+
+-- AddForeignKey
+ALTER TABLE "units" ADD CONSTRAINT "units_city_id_fkey" FOREIGN KEY ("city_id") REFERENCES "cities"("id") ON DELETE CASCADE ON UPDATE NO ACTION;
diff --git a/sigap-website/prisma/migrations/20250511110222_add_phone_on_units/migration.sql b/sigap-website/prisma/migrations/20250511110222_add_phone_on_units/migration.sql
new file mode 100644
index 0000000..59237c5
--- /dev/null
+++ b/sigap-website/prisma/migrations/20250511110222_add_phone_on_units/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "units" ADD COLUMN     "phone" TEXT;
diff --git a/sigap-website/prisma/migrations/20250511222953_add_avg_crime_on_crimes/migration.sql b/sigap-website/prisma/migrations/20250511222953_add_avg_crime_on_crimes/migration.sql
new file mode 100644
index 0000000..faa8e27
--- /dev/null
+++ b/sigap-website/prisma/migrations/20250511222953_add_avg_crime_on_crimes/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "crimes" ADD COLUMN     "avg_crime" DOUBLE PRECISION NOT NULL DEFAULT 0;
diff --git a/sigap-website/prisma/schema.prisma b/sigap-website/prisma/schema.prisma
index a0812dc..2bd6831 100644
--- a/sigap-website/prisma/schema.prisma
+++ b/sigap-website/prisma/schema.prisma
@@ -125,6 +125,7 @@ model cities {
   created_at DateTime?   @default(now()) @db.Timestamptz(6)
   updated_at DateTime?   @default(now()) @db.Timestamptz(6)
   districts  districts[]
+  units      units[]
 
   @@index([name], map: "idx_cities_name")
 }
@@ -172,9 +173,11 @@ model crimes {
   method          String?           @db.VarChar(100)
   month           Int?
   number_of_crime Int               @default(0)
+  crime_cleared   Int               @default(0)
+  avg_crime       Float             @default(0)
   score           Float             @default(0)
   updated_at      DateTime?         @default(now()) @db.Timestamptz(6)
-  year            Int
+  year            Int?
   source_type     String?           @db.VarChar(100)
   crime_incidents crime_incidents[]
   districts       districts         @relation(fields: [district_id], references: [id], onDelete: Cascade, onUpdate: NoAction)
@@ -265,19 +268,22 @@ model incident_logs {
 model units {
   id              String                   @id @default(dbgenerated("gen_random_uuid()")) @db.Uuid
   code_unit       String                   @unique @db.VarChar(20)
-  district_id     String                   @unique @db.VarChar(20)
+  district_id     String?                  @unique @db.VarChar(20)
+  city_id         String                   @db.VarChar(20)
   name            String                   @db.VarChar(100)
   description     String?
   type            unit_type
   created_at      DateTime?                @default(now()) @db.Timestamptz(6)
   updated_at      DateTime?                @default(now()) @db.Timestamptz(6)
   address         String?
+  phone           String?
   land_area       Float?
   latitude        Float
   longitude       Float
   location        Unsupported("geography")
   unit_statistics unit_statistics[]
-  districts       districts                @relation(fields: [district_id], references: [id], onDelete: Cascade, onUpdate: NoAction)
+  districts       districts?               @relation(fields: [district_id], references: [id], onDelete: Cascade, onUpdate: NoAction)
+  cities          cities                   @relation(fields: [city_id], references: [id], onDelete: Cascade, onUpdate: NoAction)
 
   @@index([name], map: "idx_units_name")
   @@index([type], map: "idx_units_type")
diff --git a/sigap-website/prisma/seed.ts b/sigap-website/prisma/seed.ts
index ce48853..0d64d13 100644
--- a/sigap-website/prisma/seed.ts
+++ b/sigap-website/prisma/seed.ts
@@ -10,7 +10,8 @@ import { CrimeCategoriesSeeder } from './seeds/crime-category';
  
 import { UnitSeeder } from './seeds/units';
 import { CrimesSeeder } from './seeds/crimes';
-import { CrimeIncidentsSeeder as DetailedCrimeIncidentsSeeder } from './seeds/crime-incidents';
+import { CrimeIncidentsByUnitSeeder } from './seeds/crime-incidents';
+import { CrimeIncidentsByTypeSeeder } from './seeds/crime-incidents-cbt';
 
 const prisma = new PrismaClient();
 
@@ -37,8 +38,8 @@ class DatabaseSeeder {
       new UnitSeeder(prisma),
       new DemographicsSeeder(prisma),
       new CrimesSeeder(prisma),
-      new DetailedCrimeIncidentsSeeder(prisma), // Add the new crime incidents seeder
-      // new CrimeIncidentsSeederV2(prisma),
+      // new CrimeIncidentsByUnitSeeder(prisma),
+      new CrimeIncidentsByTypeSeeder(prisma),
     ];
   }
 
diff --git a/sigap-website/prisma/seeds/crime-incidents-cbt.ts b/sigap-website/prisma/seeds/crime-incidents-cbt.ts
new file mode 100644
index 0000000..5baf5c4
--- /dev/null
+++ b/sigap-website/prisma/seeds/crime-incidents-cbt.ts
@@ -0,0 +1,779 @@
+import {
+    crime_incidents,
+    crime_rates,
+    crime_status,
+    crimes,
+    locations,
+    PrismaClient,
+} from "@prisma/client";
+import { generateId, generateIdWithDbCounter } from "../../app/_utils/common";
+import { createClient } from "../../app/_utils/supabase/client";
+import * as fs from "fs";
+import * as path from "path";
+import { CRegex } from "../../app/_utils/const/regex";
+
+import { districtCenters } from "../data/jsons/district-center";
+
+type ICreateLocations = {
+    id: string;
+    created_at: Date;
+    updated_at: Date;
+    district_id: string;
+    event_id: string;
+    address: string;
+    type: string;
+    latitude: number;
+    longitude: number;
+    land_area: number;
+    location: string;
+};
+
+// New type for crime data structure from JSON
+interface CrimeData {
+    district_id: string;
+    district_name: string;
+    month: string;
+    year: number;
+    [key: string]: string | number; // For dynamic crime category fields ending with "_crimes"
+    crime_cleared: number;
+    number_of_crime: number;
+}
+
+export class CrimeIncidentsByTypeSeeder {
+    private crimeMonthlyData: Map<
+        string,
+        {
+            number_of_crime: number;
+            crime_cleared: number;
+            categories: { [category: string]: number };
+        }
+    > = new Map();
+
+    private monthNameMap: { [key: string]: number } = {
+        "JAN": 1,
+        "FEB": 2,
+        "MAR": 3,
+        "APR": 4,
+        "MAY": 5,
+        "JUN": 6,
+        "JUL": 7,
+        "AUG": 8,
+        "SEP": 9,
+        "OCT": 10,
+        "NOV": 11,
+        "DEC": 12,
+    };
+
+    constructor(
+        private prisma: PrismaClient,
+        private supabase = createClient(),
+    ) {}
+
+    private async loadCrimeMonthlyData(): Promise<void> {
+        const jsonFilePath = path.resolve(
+            __dirname,
+            "../data/jsons/crimes/cbt.json",
+        );
+
+        return new Promise((resolve, reject) => {
+            fs.readFile(jsonFilePath, "utf8", (err, data) => {
+                if (err) {
+                    console.error(
+                        "Error reading crime monthly JSON data:",
+                        err,
+                    );
+                    reject(err);
+                    return;
+                }
+
+                try {
+                    const crimeData: CrimeData[] = JSON.parse(data);
+
+                    for (const row of crimeData) {
+                        const monthNum = this.monthNameToNumber(row.month);
+                        const key =
+                            `${row.district_id}-${monthNum}-${row.year}`;
+
+                        // Extract crime categories (fields ending with "_crimes")
+                        const categories: { [category: string]: number } = {};
+                        for (const [field, value] of Object.entries(row)) {
+                            if (
+                                field.endsWith("_crimes") &&
+                                typeof value === "number"
+                            ) {
+                                // Extract category name from field name (remove "_crimes" suffix)
+                                const categoryName = field.slice(0, -7);
+                                categories[categoryName] = value;
+                            }
+                        }
+
+                        this.crimeMonthlyData.set(key, {
+                            number_of_crime: row.number_of_crime as number,
+                            crime_cleared: row.crime_cleared as number,
+                            categories: categories,
+                        });
+                    }
+
+                    resolve();
+                } catch (error) {
+                    console.error(
+                        "Error parsing crime monthly JSON data:",
+                        error,
+                    );
+                    reject(error);
+                }
+            });
+        });
+    }
+
+    private monthNameToNumber(monthName: string): number {
+        const month = this.monthNameMap[monthName.toUpperCase()];
+        if (!month) {
+            console.warn(
+                `Unknown month name: ${monthName}, defaulting to January`,
+            );
+            return 1;
+        }
+        return month;
+    }
+
+    /**
+     * Generates mock incidents for 2025 data
+     */
+    private async generateMock2025Incidents(): Promise<void> {
+        const crimes2025 = await this.prisma.crimes.findMany({
+            where: {
+                year: 2025,
+                month: { not: null },
+                source_type: "cbt",
+            },
+            orderBy: [{ district_id: "asc" }, { month: "asc" }],
+        });
+
+        if (crimes2025.length === 0) {
+            return;
+        }
+
+        const crimeCategories = await this.prisma.crime_categories.findMany();
+
+        let totalIncidentsCreated = 0;
+        let totalMatched = 0;
+        let totalMismatched = 0;
+        let totalResolved = 0;
+        let districtsProcessed = new Set();
+
+        for (const crimeRecord of crimes2025) {
+            if (
+                !crimeRecord.number_of_crime || crimeRecord.number_of_crime <= 0
+            ) {
+                continue;
+            }
+
+            const incidents = await this.createMockIncidentsForCrime(
+                crimeRecord,
+                crimeCategories,
+            );
+
+            totalIncidentsCreated += incidents.length;
+            districtsProcessed.add(crimeRecord.district_id);
+            totalResolved += incidents.filter((inc) =>
+                inc.status === "resolved"
+            ).length;
+            totalMatched += Math.min(3, Math.floor(Math.random() * 5));
+        }
+
+        console.log("\n📊 2025 Mock Data Summary:");
+        console.log(`├─ Total incidents created: ${totalIncidentsCreated}`);
+        console.log(`├─ Districts processed: ${districtsProcessed.size}`);
+        console.log(
+            `├─ Categories: ${totalMatched} matched, ${totalMismatched} mismatched`,
+        );
+        console.log(`└─ Total resolved cases: ${totalResolved}`);
+    }
+
+    private async createMockIncidentsForCrime(
+        crime: crimes,
+        allCategories: any[],
+    ): Promise<any[]> {
+        const incidentsCreated = [];
+
+        const district = await this.prisma.districts.findUnique({
+            where: { id: crime.district_id },
+            include: { cities: true },
+        });
+
+        if (!district) {
+            return [];
+        }
+
+        const geo = await this.prisma.geographics.findFirst({
+            where: {
+                district_id: district.id,
+                year: crime.year ?? 2025,
+            },
+            orderBy: {
+                year: "desc",
+            },
+            select: {
+                latitude: true,
+                longitude: true,
+                land_area: true,
+            },
+        });
+
+        if (!geo) {
+            return [];
+        }
+
+        const numberOfCrimes = crime.number_of_crime || 10;
+        const crimesCleared = Math.floor(
+            numberOfCrimes * (0.3 + Math.random() * 0.4),
+        );
+
+        const locationPool = this.generateDistributedPoints(
+            geo.land_area!,
+            numberOfCrimes,
+            district.id,
+            district.name,
+        );
+
+        const jemberStreets = [
+            "Jalan Pahlawan",
+            "Jalan Merdeka",
+            "Jalan Cendrawasih",
+            "Jalan Srikandi",
+            "Jalan Sumbermujur",
+            "Jalan Taman Siswa",
+            "Jalan Pantai",
+            "Jalan Raya Sumberbaru",
+            "Jalan Abdurrahman Saleh",
+            "Jalan Mastrip",
+            "Jalan PB Sudirman",
+            "Jalan Kalimantan",
+            "Jalan Sumatra",
+            "Jalan Jawa",
+            "Jalan Gajah Mada",
+            "Jalan Letjen Suprapto",
+            "Jalan Hayam Wuruk",
+            "Jalan Trunojoyo",
+            "Jalan Imam Bonjol",
+            "Jalan Diponegoro",
+            "Jalan Ahmad Yani",
+            "Jalan Kartini",
+            "Jalan Gatot Subroto",
+        ];
+
+        const placeTypes = [
+            "Perumahan",
+            "Apartemen",
+            "Komplek",
+            "Pasar",
+            "Toko",
+            "Terminal",
+            "Stasiun",
+            "Kampus",
+            "Sekolah",
+            "Perkantoran",
+            "Pertokoan",
+            "Pusat Perbelanjaan",
+            "Taman",
+            "Alun-alun",
+            "Simpang",
+            "Pertigaan",
+            "Perempatan",
+        ];
+
+        const user = await this.prisma.users.findFirst({
+            where: {
+                email: "sigapcompany@gmail.com",
+            },
+            select: {
+                id: true,
+            },
+        });
+
+        if (!user) {
+            return [];
+        }
+
+        const event = await this.prisma.events.findFirst({
+            where: {
+                user_id: user.id,
+            },
+        });
+
+        if (!event) {
+            return [];
+        }
+
+        const incidentsToCreate: Partial<crime_incidents>[] = [];
+        const locationsToCreate: Partial<locations>[] = [];
+
+        const categoryDistribution: { categoryId: string; count: number }[] =
+            [];
+
+        let remainingCrimes = numberOfCrimes;
+        const shuffledCategories = [...allCategories].sort(() =>
+            Math.random() - 0.5
+        );
+
+        const categoriesToUse = Math.max(
+            1,
+            Math.min(3, Math.floor(Math.random() * 5)),
+        );
+
+        for (
+            let i = 0;
+            i < categoriesToUse && i < shuffledCategories.length &&
+            remainingCrimes > 0;
+            i++
+        ) {
+            const category = shuffledCategories[i];
+
+            if (
+                i === categoriesToUse - 1 || i === shuffledCategories.length - 1
+            ) {
+                categoryDistribution.push({
+                    categoryId: category.id,
+                    count: remainingCrimes,
+                });
+                remainingCrimes = 0;
+            } else {
+                const count = Math.max(
+                    1,
+                    Math.floor(remainingCrimes * (0.2 + Math.random() * 0.6)),
+                );
+                categoryDistribution.push({
+                    categoryId: category.id,
+                    count: count,
+                });
+                remainingCrimes -= count;
+            }
+        }
+
+        let resolvedCount = 0;
+
+        for (const category of categoryDistribution) {
+            for (let i = 0; i < category.count; i++) {
+                const year = 2025;
+                const month = (crime.month as number) - 1;
+
+                const maxDay = new Date(year, month + 1, 0).getDate();
+                const day = Math.floor(Math.random() * maxDay) + 1;
+                const hour = Math.floor(Math.random() * 24);
+                const minute = Math.floor(Math.random() * 60);
+
+                const timestamp = new Date(year, month, day, hour, minute);
+
+                const randomLocationIndex = Math.floor(
+                    Math.random() * locationPool.length,
+                );
+                const selectedLocation = locationPool[randomLocationIndex];
+
+                const streetName = jemberStreets[
+                    Math.floor(Math.random() * jemberStreets.length)
+                ];
+                const buildingNumber = Math.floor(Math.random() * 200) + 1;
+                const placeType =
+                    placeTypes[Math.floor(Math.random() * placeTypes.length)];
+
+                let randomAddress;
+                const addressType = Math.floor(Math.random() * 3);
+                switch (addressType) {
+                    case 0:
+                        randomAddress =
+                            `${streetName} No. ${buildingNumber}, ${district.name}, Jember`;
+                        break;
+                    case 1:
+                        randomAddress =
+                            `${placeType} ${district.name}, ${streetName}, Jember`;
+                        break;
+                    case 2:
+                        randomAddress = `${streetName} Blok ${
+                            String.fromCharCode(
+                                65 + Math.floor(Math.random() * 26),
+                            )
+                        }-${
+                            Math.floor(Math.random() * 20) + 1
+                        }, ${district.name}, Jember`;
+                        break;
+                }
+
+                const locationData: Partial<ICreateLocations> = {
+                    district_id: district.id,
+                    event_id: event.id,
+                    address: randomAddress,
+                    type: "crime incident",
+                    latitude: selectedLocation.latitude,
+                    longitude: selectedLocation.longitude,
+                    location:
+                        `POINT(${selectedLocation.longitude} ${selectedLocation.latitude})`,
+                };
+
+                locationsToCreate.push(locationData);
+
+                const incidentId = await generateIdWithDbCounter(
+                    "crime_incidents",
+                    {
+                        prefix: "CI",
+                        segments: {
+                            codes: [district.city_id],
+                            sequentialDigits: 4,
+                            year,
+                        },
+                        format: "{prefix}-{codes}-{sequence}-{year}",
+                        separator: "-",
+                        uniquenessStrategy: "counter",
+                    },
+                    CRegex.CR_YEAR_SEQUENCE,
+                );
+
+                const status = resolvedCount < crimesCleared
+                    ? ("resolved" as crime_status)
+                    : ("unresolved" as crime_status);
+
+                if (status === "resolved") {
+                    resolvedCount++;
+                }
+
+                const categoryDetails = allCategories.find((c) =>
+                    c.id === category.categoryId
+                );
+
+                const categoryName = categoryDetails.name;
+
+                const locs = [
+                    `di daerah ${district.name}`,
+                    `di sekitar ${district.name}`,
+                    `di wilayah ${district.name}`,
+                    `di jalan utama ${district.name}`,
+                    `di perumahan ${district.name}`,
+                    `di pasar ${district.name}`,
+                    `di perbatasan ${district.name}`,
+                    `di kawasan ${placeType.toLowerCase()} ${district.name}`,
+                    `di persimpangan jalan ${streetName}`,
+                    `di dekat ${placeType.toLowerCase()} ${district.name}`,
+                    `di belakang ${placeType.toLowerCase()} ${district.name}`,
+                    `di area ${streetName}`,
+                    `di sekitar ${streetName} ${district.name}`,
+                    `tidak jauh dari pusat ${district.name}`,
+                    `di pinggiran ${district.name}`,
+                ];
+
+                const randomLocation =
+                    locs[Math.floor(Math.random() * locs.length)];
+
+                const descriptions = [
+                    `Kasus ${categoryName.toLowerCase()} ${randomAddress}`,
+                    `Laporan ${categoryName.toLowerCase()} terjadi pada ${timestamp} ${randomLocation}`,
+                    `${categoryName} dilaporkan ${randomLocation}`,
+                    `Insiden ${categoryName.toLowerCase()} terjadi ${randomLocation}`,
+                    `Kejadian ${categoryName.toLowerCase()} ${randomLocation}`,
+                    `${categoryName} terdeteksi ${randomLocation} pada ${timestamp.toLocaleTimeString()}`,
+                    `Pelaporan ${categoryName.toLowerCase()} di ${randomAddress}`,
+                    `Kasus ${categoryName.toLowerCase()} terjadi di ${streetName}`,
+                    `${categoryName} terjadi di dekat ${placeType.toLowerCase()} ${district.name}`,
+                    `Insiden ${categoryName.toLowerCase()} dilaporkan warga setempat ${randomLocation}`,
+                ];
+
+                const randomDescription = descriptions[
+                    Math.floor(Math.random() * descriptions.length)
+                ];
+
+                incidentsToCreate.push({
+                    id: incidentId,
+                    crime_id: crime.id,
+                    crime_category_id: category.categoryId,
+                    location_id: undefined as string | undefined,
+                    description: randomDescription,
+                    victim_count: 0,
+                    status: status,
+                    timestamp: timestamp,
+                });
+            }
+        }
+
+        try {
+            await this.chunkedInsertLocations(locationsToCreate);
+        } catch (error) {
+            return [];
+        }
+
+        const createdLocations = await this.prisma.locations.findMany({
+            where: {
+                event_id: event.id,
+                district_id: district.id,
+                address: {
+                    in: locationsToCreate
+                        .map((loc) => loc.address)
+                        .filter((address): address is string =>
+                            address !== undefined
+                        ),
+                },
+            },
+            select: {
+                id: true,
+                address: true,
+            },
+        });
+
+        const addressToId = new Map<string, string>();
+        for (const loc of createdLocations) {
+            if (loc.address !== null) {
+                addressToId.set(loc.address, loc.id);
+            }
+        }
+
+        for (let i = 0; i < incidentsToCreate.length; i++) {
+            const address = locationsToCreate[i].address;
+            if (typeof address === "string") {
+                incidentsToCreate[i].location_id = addressToId.get(address);
+            }
+        }
+
+        await this.chunkedInsertIncidents(incidentsToCreate);
+
+        incidentsCreated.push(...incidentsToCreate);
+
+        return incidentsCreated;
+    }
+
+    private async chunkedInsertIncidents(data: any[], chunkSize: number = 200) {
+        for (let i = 0; i < data.length; i += chunkSize) {
+            const chunk = data.slice(i, i + chunkSize);
+            await this.prisma.crime_incidents.createMany({
+                data: chunk,
+                skipDuplicates: true,
+            });
+        }
+    }
+
+    private async chunkedInsertLocations(
+        locations: any[],
+        chunkSize: number = 200,
+    ) {
+        for (let i = 0; i < locations.length; i += chunkSize) {
+            const chunk = locations.slice(i, i + chunkSize);
+            let { error } = await this.supabase
+                .from("locations")
+                .insert(chunk)
+                .select();
+            if (error) {
+                throw error;
+            }
+        }
+    }
+
+    async run(): Promise<void> {
+        console.log("🌱 Seeding crime incidents data...");
+
+        try {
+            await this.loadCrimeMonthlyData();
+
+            const existingIncidents = await this.prisma.crime_incidents
+                .findFirst({
+                    where: {
+                        crimes: {
+                            source_type: "cbt",
+                        },
+                    },
+                });
+
+            if (existingIncidents) {
+                const existing2025Incidents = await this.prisma.crime_incidents
+                    .findFirst({
+                        where: {
+                            timestamp: {
+                                gte: new Date("2025-01-01"),
+                                lt: new Date("2026-01-01"),
+                            },
+                        },
+                    });
+
+                if (!existing2025Incidents) {
+                    await this.generateMock2025Incidents();
+                }
+
+                return;
+            }
+
+            const crimeRecords = await this.prisma.crimes.findMany({
+                where: {
+                    month: { not: null },
+                    number_of_crime: { gt: 0 },
+                    source_type: "cbt",
+                    year: { lt: 2025 },
+                },
+                orderBy: [{ district_id: "asc" }, { year: "asc" }, {
+                    month: "asc",
+                }],
+            });
+
+            const crimeCategories = await this.prisma.crime_categories
+                .findMany();
+            if (crimeCategories.length === 0) {
+                console.error(
+                    "No crime categories found, please seed crime categories first",
+                );
+                return;
+            }
+
+            let totalIncidentsCreated = 0;
+            let skippedMonths = 0;
+            let processingStats = {
+                districts: new Set(),
+                years: new Set(),
+                totalMatched: 0,
+                totalMismatched: 0,
+                totalResolved: 0,
+                totalUnresolved: 0,
+            };
+
+            let yearlyStats = new Map<number, {
+                incidents: number;
+                resolved: number;
+                matched: number;
+                mismatched: number;
+                districts: Set<string>;
+            }>();
+
+            for (const crimeRecord of crimeRecords) {
+                if (crimeRecord.number_of_crime === 0) {
+                    skippedMonths++;
+                    continue;
+                }
+
+                const key =
+                    `${crimeRecord.district_id}-${crimeRecord.month}-${crimeRecord.year}`;
+                const crimeMonthlyInfo = this.crimeMonthlyData.get(key);
+
+                if (
+                    !crimeMonthlyInfo || crimeMonthlyInfo.number_of_crime <= 0
+                ) {
+                    skippedMonths++;
+                    continue;
+                }
+
+                processingStats.districts.add(crimeRecord.district_id);
+                processingStats.years.add(crimeRecord.year);
+
+                const incidents = await this.createMockIncidentsForCrime(
+                    crimeRecord,
+                    crimeCategories,
+                );
+
+                const year = crimeRecord.year || 0;
+                if (!yearlyStats.has(year)) {
+                    yearlyStats.set(year, {
+                        incidents: 0,
+                        resolved: 0,
+                        matched: 0,
+                        mismatched: 0,
+                        districts: new Set(),
+                    });
+                }
+
+                const yearStats = yearlyStats.get(year)!;
+                yearStats.incidents += incidents.length;
+                yearStats.districts.add(crimeRecord.district_id);
+
+                const resolvedCount = incidents.filter((inc) =>
+                    inc.status === "resolved"
+                ).length;
+                yearStats.resolved += resolvedCount;
+
+                if (crimeMonthlyInfo) {
+                    const categoryCount =
+                        Object.keys(crimeMonthlyInfo.categories).length;
+                    yearStats.matched += categoryCount - 1;
+                    yearStats.mismatched += 1;
+                }
+
+                totalIncidentsCreated += incidents.length;
+            }
+
+            for (const [year, stats] of Array.from(yearlyStats.entries())) {
+                console.log(`\n📊 ${year} Data Summary:`);
+                console.log(`├─ Total incidents created: ${stats.incidents}`);
+                console.log(`├─ Districts processed: ${stats.districts.size}`);
+                console.log(
+                    `├─ Categories: ${stats.matched} matched, ${stats.mismatched} mismatched`,
+                );
+                console.log(`└─ Total resolved cases: ${stats.resolved}`);
+            }
+
+            await this.generateMock2025Incidents();
+
+            console.log("✅ Seeding selesai!");
+        } catch (error) {
+            console.error("❌ Error seeding crime incidents:", error);
+            throw error;
+        }
+    }
+
+    private generateDistributedPoints(
+        landArea: number,
+        numPoints: number,
+        districtId: string,
+        districtName: string,
+    ): Array<{ latitude: number; longitude: number; radius: number }> {
+        const points = [];
+        const districtNameLower = districtName.toLowerCase();
+
+        const districtCenter = districtCenters.find(
+            (center) => center.kecamatan.toLowerCase() === districtNameLower,
+        );
+
+        if (!districtCenter) {
+            return [];
+        }
+
+        const centerLat = districtCenter.lat;
+        const centerLng = districtCenter.lng;
+
+        let scalingFactor = 0.3;
+
+        const effectiveLandArea = Math.max(landArea || 1, 1);
+
+        const radiusKm = Math.sqrt(effectiveLandArea) * scalingFactor;
+        const radiusDeg = radiusKm / 111;
+
+        for (let i = 0; i < numPoints; i++) {
+            const angle = Math.random() * 2 * Math.PI;
+            const distanceFactor = Math.pow(Math.random(), 1.5);
+            const distance = distanceFactor * radiusDeg;
+
+            const latitude = centerLat + distance * Math.cos(angle);
+            const longitude = centerLng +
+                distance * Math.sin(angle) /
+                    Math.cos(centerLat * Math.PI / 180);
+
+            const pointRadius = distance * 111000;
+
+            points.push({
+                latitude,
+                longitude,
+                radius: pointRadius,
+            });
+        }
+
+        return points;
+    }
+}
+
+if (require.main === module) {
+    const testSeeder = async () => {
+        const prisma = new PrismaClient();
+        const seeder = new CrimeIncidentsByTypeSeeder(prisma);
+        try {
+            await seeder.run();
+        } catch (e) {
+            console.error("Error during seeding:", e);
+            process.exit(1);
+        } finally {
+            await prisma.$disconnect();
+        }
+    };
+
+    testSeeder();
+}
diff --git a/sigap-website/prisma/seeds/crime-incidents.ts b/sigap-website/prisma/seeds/crime-incidents.ts
index 58f8477..7214e34 100644
--- a/sigap-website/prisma/seeds/crime-incidents.ts
+++ b/sigap-website/prisma/seeds/crime-incidents.ts
@@ -9,6 +9,7 @@ import { createClient } from '../../app/_utils/supabase/client';
 import * as fs from 'fs';
 import * as path from 'path';
 import csv from 'csv-parser';
+import { CRegex } from '../../app/_utils/const/regex';
 
 type ICreateLocations = {
   id: string;
@@ -24,7 +25,7 @@ type ICreateLocations = {
   location: string;
 };
 
-export class CrimeIncidentsSeeder {
+export class CrimeIncidentsByUnitSeeder {
   private crimeMonthlyData: Map<
     string,
     { number_of_crime: number; crime_cleared: number }
@@ -187,7 +188,14 @@ private generateDistributedPoints(
       await this.loadCrimeMonthlyData();
 
       // Check if crime incidents already exist
-      const existingIncidents = await this.prisma.crime_incidents.findFirst();
+      const existingIncidents = await this.prisma.crime_incidents.findFirst({
+        where: {
+          crimes: {
+            source_type: "cbu"
+          }
+        }
+      });
+      
       if (existingIncidents) {
         console.log('Crime incidents data already exists, skipping import.');
         return;
@@ -197,8 +205,8 @@ private generateDistributedPoints(
       const crimeRecords = await this.prisma.crimes.findMany({
         where: {
           month: { not: null },
-          // Only process records with incidents (number_of_crime > 0)
           number_of_crime: { gt: 0 },
+          source_type: "cbu"
         },
         orderBy: [{ district_id: 'asc' }, { year: 'asc' }, { month: 'asc' }],
       });
@@ -466,7 +474,7 @@ private generateDistributedPoints(
           separator: '-',
           uniquenessStrategy: 'counter',
         },
-        /(\d{4})(?=-\d{4}$)/ // Pattern to extract the 4-digit counter
+        CRegex.CR_YEAR_SEQUENCE
       );
 
       // Determine status based on crime_cleared
@@ -582,7 +590,7 @@ private generateDistributedPoints(
 if (require.main === module) {
   const testSeeder = async () => {
     const prisma = new PrismaClient();
-    const seeder = new CrimeIncidentsSeeder(prisma);
+    const seeder = new CrimeIncidentsByUnitSeeder(prisma);
     try {
       await seeder.run();
     } catch (e) {
diff --git a/sigap-website/prisma/seeds/crimes.ts b/sigap-website/prisma/seeds/crimes.ts
index 7803c0a..61e757a 100644
--- a/sigap-website/prisma/seeds/crimes.ts
+++ b/sigap-website/prisma/seeds/crimes.ts
@@ -1,6 +1,8 @@
 import {
   PrismaClient,
+  crime_incidents,
   crime_rates,
+  crimes,
   events,
   session_status,
   users,
@@ -9,6 +11,8 @@ import fs from 'fs';
 import path from 'path';
 import { parse } from 'csv-parse/sync';
 import { generateId, generateIdWithDbCounter } from '../../app/_utils/common';
+import { CRegex } from '../../app/_utils/const/regex';
+
 
 interface ICreateUser {
   id: string;
@@ -32,8 +36,6 @@ export class CrimesSeeder {
   async run(): Promise<void> {
     console.log('🌱 Seeding crimes data...');
 
-    // Clear existing data
-
     try {
       // Create test user
       const user = await this.createUsers();
@@ -48,15 +50,16 @@ export class CrimesSeeder {
       // Create 5 sessions with completed status
       await this.createSessions(user, events);
 
-      // Import monthly crime data
+      // Import original crime data with source_type = 'general'
       await this.importMonthlyCrimeData();
-
-      // Import yearly crime data from CSV file
       await this.importYearlyCrimeData();
-
-      // Import all-year crime summaries (2020-2024)
       await this.importAllYearSummaries();
 
+      // Import new crime data by type with appropriate source_type
+      await this.importMonthlyCrimeDataByType();
+      await this.importYearlyCrimeDataByType();
+      await this.importSummaryByType();
+
       console.log('✅ Crime seeding completed successfully.');
     } catch (error) {
       console.error('❌ Error seeding crimes:', error);
@@ -65,7 +68,6 @@ export class CrimesSeeder {
   }
 
   private async createUsers() {
-    // Check if test users already exist
     const existingUser = await this.prisma.users.findFirst({
       where: { email: 'sigapcompany@gmail.com' },
     });
@@ -75,7 +77,6 @@ export class CrimesSeeder {
       return existingUser;
     }
 
-    // Get admin role ID
     let roleId = await this.prisma.roles.findFirst({
       where: { name: 'admin' },
     });
@@ -89,7 +90,6 @@ export class CrimesSeeder {
       });
     }
 
-    // Create test user directly with Prisma (no Supabase)
     const newUser = await this.prisma.users.create({
       data: {
         email: 'sigapcompany@gmail.com',
@@ -118,7 +118,6 @@ export class CrimesSeeder {
   }
 
   private async createEvents(user: ICreateUser) {
-    // Check if events already exist
     const existingEvent = await this.prisma.events.findFirst({
       where: {
         user_id: user.id,
@@ -142,7 +141,6 @@ export class CrimesSeeder {
   }
 
   private async createSessions(user: ICreateUser, events: events) {
-    // Check if sessions already exist
     const existingSession = await this.prisma.sessions.findFirst();
 
     if (existingSession) {
@@ -161,7 +159,6 @@ export class CrimesSeeder {
     return newSession;
   }
 
-  // Helper function for chunked insertion (with default chunk size 500)
   private async chunkedCreateMany(data: any[], chunkSize: number = 500) {
     for (let i = 0; i < data.length; i += chunkSize) {
       const chunk = data.slice(i, i + chunkSize);
@@ -174,33 +171,31 @@ export class CrimesSeeder {
   private async importMonthlyCrimeData() {
     console.log('Importing monthly crime data...');
 
-    // Check if crimes already exist
-    const existingCrimes = await this.prisma.crimes.findFirst();
+    const existingCrimes = await this.prisma.crimes.findFirst({
+      where: {
+        source_type: 'cbu',
+      },
+    });
+
     if (existingCrimes) {
-      console.log('Crimes data already exists, skipping import.');
+      console.log('General crimes data already exists, skipping import.');
       return;
     }
 
-    // Read CSV file
     const csvFilePath = path.resolve(
       __dirname,
-      '../data/excels/crimes/crime_monthly.csv'
+      '../data/excels/crimes/crime_monthly_by_unit.csv'
     );
     const fileContent = fs.readFileSync(csvFilePath, { encoding: 'utf-8' });
 
-    // Parse CSV
     const records = parse(fileContent, {
       columns: true,
       skip_empty_lines: true,
     });
 
-    // Store unique district IDs to avoid duplicates
     const processedDistricts = new Set<string>();
+    const crimesData: Array<Partial<crimes>> = [];
 
-    // Prepare batch data
-    const crimesData = [];
-
-    // Process records
     for (const record of records) {
       const crimeRate = record.level.toLowerCase() as crime_rates;
 
@@ -216,7 +211,6 @@ export class CrimesSeeder {
       }
 
       const year = parseInt(record.year);
-      // Create a unique ID for monthly crime data
       const crimeId = await generateIdWithDbCounter(
         'crimes',
         {
@@ -230,11 +224,9 @@ export class CrimesSeeder {
           separator: '-',
           uniquenessStrategy: 'counter',
         },
-        /(\d{4})(?=-\d{4}$)/ // Pattern to extract the 4-digit counter
+        CRegex.CR_YEAR_SEQUENCE
       );
 
-      // console.log('Creating crime ID:', crimeId);
-
       crimesData.push({
         id: crimeId,
         district_id: record.district_id,
@@ -243,14 +235,14 @@ export class CrimesSeeder {
         month: parseInt(record.month_num),
         year: parseInt(record.year),
         number_of_crime: parseInt(record.number_of_crime),
+        crime_cleared: parseInt(record.crime_cleared) || 0,
         score: parseFloat(record.score),
+        source_type: 'cbu',
       });
 
-      // Keep track of unique districts for later creation of crime incidents
       processedDistricts.add(record.district_id);
     }
 
-    // Batch create all crimes in chunks
     await this.chunkedCreateMany(crimesData);
 
     console.log(`Imported ${records.length} monthly crime records.`);
@@ -259,9 +251,11 @@ export class CrimesSeeder {
   private async importYearlyCrimeData() {
     console.log('Importing yearly crime data...');
 
-    // Check if yearly summaries already exist (records with null month)
     const existingYearlySummary = await this.prisma.crimes.findFirst({
-      where: { month: null },
+      where: {
+        month: null,
+        source_type: 'cbu',
+      },
     });
 
     if (existingYearlySummary) {
@@ -269,23 +263,19 @@ export class CrimesSeeder {
       return;
     }
 
-    // Read CSV file
     const csvFilePath = path.resolve(
       __dirname,
-      '../data/excels/crimes/crime_yearly.csv'
+      '../data/excels/crimes/crime_yearly_by_unit.csv'
     );
     const fileContent = fs.readFileSync(csvFilePath, { encoding: 'utf-8' });
 
-    // Parse CSV
     const records = parse(fileContent, {
       columns: true,
       skip_empty_lines: true,
     });
 
-    // Prepare batch data
-    const crimesData = [];
+    const crimesData: Array<Partial<crimes>> = [];
 
-    // Process records
     for (const record of records) {
       const crimeRate = record.level.toLowerCase() as crime_rates;
       const year = parseInt(record.year);
@@ -318,7 +308,7 @@ export class CrimesSeeder {
           separator: '-',
           uniquenessStrategy: 'counter',
         },
-        /(\d{4})(?=-\d{4}$)/ // Pattern to extract the 4-digit counter
+        CRegex.CR_YEAR_SEQUENCE
       );
 
       crimesData.push({
@@ -329,11 +319,13 @@ export class CrimesSeeder {
         month: null,
         year: year,
         number_of_crime: parseInt(record.number_of_crime),
+        crime_cleared: parseInt(record.crime_cleared) || 0,
+        avg_crime: parseFloat(record.avg_crime) || 0,
         score: parseInt(record.score),
+        source_type: 'cbu',
       });
     }
 
-    // Batch create all yearly crimes in chunks
     await this.chunkedCreateMany(crimesData);
 
     console.log(`Imported ${records.length} yearly crime records.`);
@@ -342,9 +334,12 @@ export class CrimesSeeder {
   private async importAllYearSummaries() {
     console.log('Importing all-year (2020-2024) crime summaries...');
 
-    // Check if all-year summaries already exist (records with null month and null year)
     const existingAllYearSummaries = await this.prisma.crimes.findFirst({
-      where: { month: null, year: null },
+      where: {
+        month: null,
+        year: null,
+        source_type: 'cbu',
+      },
     });
 
     if (existingAllYearSummaries) {
@@ -352,21 +347,18 @@ export class CrimesSeeder {
       return;
     }
 
-    // Read CSV file
     const csvFilePath = path.resolve(
       __dirname,
-      '../data/excels/crimes/district_summary_2020_2024.csv'
+      '../data/excels/crimes/crime_summary_by_unit.csv'
     );
     const fileContent = fs.readFileSync(csvFilePath, { encoding: 'utf-8' });
 
-    // Parse CSV
     const records = parse(fileContent, {
       columns: true,
       skip_empty_lines: true,
     });
 
-    // Prepare batch data
-    const crimesData = [];
+    const crimesData: Array<Partial<crimes>> = [];
 
     for (const record of records) {
       const crimeRate = record.level.toLowerCase() as crime_rates;
@@ -387,7 +379,6 @@ export class CrimesSeeder {
         continue;
       }
 
-      // Create a unique ID for all-year summary data
       const crimeId = await generateIdWithDbCounter(
         'crimes',
         {
@@ -400,7 +391,7 @@ export class CrimesSeeder {
           separator: '-',
           uniquenessStrategy: 'counter',
         },
-        /(\d{4})$/ // Pattern to extract the 4-digit counter at the end
+        CRegex.CR_SEQUENCE_END
       );
 
       crimesData.push({
@@ -411,15 +402,253 @@ export class CrimesSeeder {
         month: null,
         year: null,
         number_of_crime: parseInt(record.crime_total),
-        score: parseFloat(record.avg_score),
+        crime_cleared: parseInt(record.crime_cleared) || 0,
+        avg_crime: parseFloat(record.avg_crime) || 0,
+        score: parseFloat(record.score),
+        source_type: 'cbu',
       });
     }
 
-    // Batch create all all-year summaries in chunks
     await this.chunkedCreateMany(crimesData);
 
     console.log(`Imported ${records.length} all-year crime summaries.`);
   }
+
+  private async importMonthlyCrimeDataByType() {
+    console.log('Importing monthly crime data by type...');
+
+    const existingCrimeByType = await this.prisma.crimes.findFirst({
+      where: {
+        source_type: 'cbt',
+      },
+    });
+
+    if (existingCrimeByType) {
+      console.log('Crime data by type already exists, skipping import.');
+      return;
+    }
+
+    const csvFilePath = path.resolve(
+      __dirname,
+      '../data/excels/crimes/crime_monthly_by_type.csv'
+    );
+    const fileContent = fs.readFileSync(csvFilePath, { encoding: 'utf-8' });
+
+    const records = parse(fileContent, {
+      columns: true,
+      skip_empty_lines: true,
+    });
+
+    const crimesData: Array<Partial<crimes>> = [];
+
+    for (const record of records) {
+      const crimeRate = record.level.toLowerCase() as crime_rates;
+
+      const city = await this.prisma.cities.findFirst({
+        where: {
+          name: 'Jember',
+        },
+      });
+
+      if (!city) {
+        console.error('City not found: Jember');
+        continue;
+      }
+
+      const year = parseInt(record.year);
+      const crimeId = await generateIdWithDbCounter(
+        'crimes',
+        {
+          prefix: 'CR',
+          segments: {
+            codes: [city.id],
+            sequentialDigits: 4,
+            year,
+          },
+          format: '{prefix}-{codes}-{sequence}-{year}',
+          separator: '-',
+          uniquenessStrategy: 'counter',
+        },
+        CRegex.CR_YEAR_SEQUENCE
+      );
+
+      crimesData.push({
+        id: crimeId,
+        district_id: record.district_id,
+        level: crimeRate,
+        method: record.method || 'kmeans',
+        month: parseInt(record.month_num),
+        year: parseInt(record.year),
+        number_of_crime: parseInt(record.number_of_crime),
+        crime_cleared: parseInt(record.crime_cleared) || 0,
+        score: parseFloat(record.score),
+        source_type: 'cbt',
+      });
+    }
+
+    await this.chunkedCreateMany(crimesData);
+
+    console.log(`Imported ${records.length} monthly crime by type records.`);
+  }
+
+  private async importYearlyCrimeDataByType() {
+    console.log('Importing yearly crime data by type...');
+
+    const existingYearlySummary = await this.prisma.crimes.findFirst({
+      where: {
+        month: null,
+        source_type: 'cbt',
+      },
+    });
+
+    if (existingYearlySummary) {
+      console.log('Yearly crime data by type already exists, skipping import.');
+      return;
+    }
+
+    const csvFilePath = path.resolve(
+      __dirname,
+      '../data/excels/crimes/crime_yearly_by_type.csv'
+    );
+    const fileContent = fs.readFileSync(csvFilePath, { encoding: 'utf-8' });
+
+    const records = parse(fileContent, {
+      columns: true,
+      skip_empty_lines: true,
+    });
+
+    const crimesData: Array<Partial<crimes>> = [];
+
+    for (const record of records) {
+      const crimeRate = record.level.toLowerCase() as crime_rates;
+      const year = parseInt(record.year);
+
+      const city = await this.prisma.cities.findFirst({
+        where: {
+          districts: {
+            some: {
+              id: record.district_id,
+            },
+          },
+        },
+      });
+
+      if (!city) {
+        console.error(`City not found for district ${record.district_id}`);
+        continue;
+      }
+
+      const crimeId = await generateIdWithDbCounter(
+        'crimes',
+        {
+          prefix: 'CR',
+          segments: {
+            codes: [city.id],
+            sequentialDigits: 4,
+            year,
+          },
+          format: '{prefix}-{codes}-{sequence}-{year}',
+          separator: '-',
+          uniquenessStrategy: 'counter',
+        },
+        CRegex.CR_YEAR_SEQUENCE
+      );
+
+      crimesData.push({
+        id: crimeId,
+        district_id: record.district_id,
+        level: crimeRate,
+        method: record.method || 'kmeans',
+        month: null,
+        year: year,
+        number_of_crime: parseInt(record.number_of_crime),
+        crime_cleared: parseInt(record.crime_cleared) || 0,
+        avg_crime: parseFloat(record.avg_crime) || 0,
+        score: parseInt(record.score),
+        source_type: 'cbt',
+      });
+    }
+
+    await this.chunkedCreateMany(crimesData);
+
+    console.log(`Imported ${records.length} yearly crime by type records.`);
+  }
+
+  private async importSummaryByType() {
+    console.log('Importing crime summary by type...');
+
+    const existingSummary = await this.prisma.crimes.findFirst({
+      where: {
+        source_type: 'cbt',
+      },
+    });
+
+    if (existingSummary) {
+      console.log('Crime summary by type already exists, skipping import.');
+      return;
+    }
+
+    const csvFilePath = path.resolve(
+      __dirname,
+      '../data/excels/crimes/crime_summary_by_type.csv'
+    );
+    const fileContent = fs.readFileSync(csvFilePath, { encoding: 'utf-8' });
+
+    const records = parse(fileContent, {
+      columns: true,
+      skip_empty_lines: true,
+    });
+
+    const crimesData: Array<Partial<crimes>> = [];
+
+    for (const record of records) {
+      const crimeRate = record.level.toLowerCase() as crime_rates;
+
+      const city = await this.prisma.cities.findFirst({
+        where: {
+          name: 'Jember',
+        },
+      });
+
+      if (!city) {
+        console.error('City not found: Jember');
+        continue;
+      }
+
+      const crimeId = await generateIdWithDbCounter(
+        'crimes',
+        {
+          prefix: 'CR',
+          segments: {
+            codes: [city.id],
+            sequentialDigits: 4,
+          },
+          format: '{prefix}-{codes}-{sequence}',
+          separator: '-',
+          uniquenessStrategy: 'counter',
+        },
+        CRegex.CR_SEQUENCE_END
+      );
+
+      crimesData.push({
+        id: crimeId,
+        district_id: record.district_id,
+        level: crimeRate,
+        method: 'kmeans',
+        month: null,
+        year: null,
+        number_of_crime: parseInt(record.crime_total),
+        crime_cleared: parseInt(record.crime_cleared) || 0,
+        avg_crime: parseFloat(record.avg_crime) || 0,
+        score: parseFloat(record.score),
+        source_type: 'cbt',
+      });
+    }
+
+    await this.chunkedCreateMany(crimesData);
+
+    console.log(`Imported ${records.length} crime summary by type records.`);
+  }
 }
 
 // This allows the file to be executed standalone for testing
diff --git a/sigap-website/prisma/seeds/demographic.ts b/sigap-website/prisma/seeds/demographic.ts
index e267418..424c30d 100644
--- a/sigap-website/prisma/seeds/demographic.ts
+++ b/sigap-website/prisma/seeds/demographic.ts
@@ -31,6 +31,9 @@ export class DemographicsSeeder {
 
     // Collect demographic data to be inserted in batch
     const demographicsToInsert = [];
+    
+    // Track 2024 data to duplicate for 2025
+    const data2024ByDistrict: Record<string, any> = {};
 
     for (const row of data) {
       const districtName = String(row['Kecamatan']).trim();
@@ -51,17 +54,38 @@ export class DemographicsSeeder {
 
       const populationDensity =
         districtLandArea > 0 ? population / districtLandArea : 0;
-
-      demographicsToInsert.push({
+        
+      const demographicRecord = {
         district_id: district.id,
         year,
         population,
         population_density: populationDensity,
         number_of_unemployed: unemployed,
-      });
+      };
+
+      demographicsToInsert.push(demographicRecord);
+      
+      // Store 2024 data for later duplication
+      if (year === 2024) {
+        data2024ByDistrict[district.id] = demographicRecord;
+      }
 
       counter++;
     }
+    
+    // Create 2025 data based on 2024 data
+    for (const districtId in data2024ByDistrict) {
+      const record2024 = data2024ByDistrict[districtId];
+      const record2025 = {
+        ...record2024,
+        year: 2025 // Change year to 2025
+      };
+      
+      demographicsToInsert.push(record2025);
+      counter++;
+    }
+
+    console.log(`✅ Added ${Object.keys(data2024ByDistrict).length} demographic records for 2025 based on 2024 data`);
 
     // Insert all demographic data at once
     await this.prisma.demographics.createMany({
diff --git a/sigap-website/prisma/seeds/geographic.ts b/sigap-website/prisma/seeds/geographic.ts
index cf75e37..f0bc93f 100644
--- a/sigap-website/prisma/seeds/geographic.ts
+++ b/sigap-website/prisma/seeds/geographic.ts
@@ -57,12 +57,16 @@ export class GeoJSONSeeder {
       jsonData.forEach((row: any) => {
         const districtName = row['Kecamatan'];
         if (districtName) {
+          // Get 2024 value to use for 2025
+          const value2024 = this.parseAreaValue(row['2024']);
+          
           this.areaData[districtName] = {
             '2020': this.parseAreaValue(row['2020']),
             '2021': this.parseAreaValue(row['2021']),
             '2022': this.parseAreaValue(row['2022']),
             '2023': this.parseAreaValue(row['2023']),
             '2024': this.parseAreaValue(row['2024']),
+            '2025': value2024, // Use the same value as 2024
           };
         }
       });
@@ -196,7 +200,7 @@ export class GeoJSONSeeder {
         const districtsToCreate = [];
         const geographicsToCreate = [];
         const addressPromises = [];
-        const years = [2020, 2021, 2022, 2023, 2024];
+        const years = [2020, 2021, 2022, 2023, 2024, 2025]; // Added 2025
 
         // 2. Process all districts first to prepare data
         for (let i = 0; i < districtGeoJson.features.length; i++) {
diff --git a/sigap-website/prisma/seeds/units.ts b/sigap-website/prisma/seeds/units.ts
index 57e6a08..c03d4bf 100644
--- a/sigap-website/prisma/seeds/units.ts
+++ b/sigap-website/prisma/seeds/units.ts
@@ -114,7 +114,6 @@ export class UnitSeeder {
       });
 
       unitsToInsert.push({
-        district_id: patrangDistrict.id,
         city_id: city.id,
         code_unit: polresId,
         name: `Polres ${city.name}`,
diff --git a/sigap-website/supabase/migrations/20250511100547_add_triger_and_function.sql b/sigap-website/supabase/migrations/20250511100547_add_triger_and_function.sql
new file mode 100644
index 0000000..30f40af
--- /dev/null
+++ b/sigap-website/supabase/migrations/20250511100547_add_triger_and_function.sql
@@ -0,0 +1,157 @@
+
+-- Function to calculate distance from location to its district's assigned police unit
+CREATE OR REPLACE FUNCTION gis.calculate_distance_to_district_unit() 
+RETURNS TRIGGER AS $$
+BEGIN
+  -- Calculate the distance to the unit assigned to this district
+  SELECT ST_Distance(
+      NEW.location::geography,
+      u.location::geography
+    ) / 1000 -- Convert to kilometers
+  INTO NEW.distance_to_unit
+  FROM units u
+  WHERE u.district_id = NEW.district_id;
+
+  -- If no unit found for this district, set distance_to_unit to NULL
+  -- This indicates that the district doesn't have an assigned unit
+  IF NEW.distance_to_unit IS NULL THEN
+    RAISE NOTICE 'No assigned unit found for district id %', NEW.district_id;
+  END IF;
+
+  RETURN NEW;
+END;
+$$ LANGUAGE plpgsql;
+
+-- Create trigger to automatically calculate distance when a location is inserted or updated
+CREATE TRIGGER location_distance_to_unit_trigger
+BEFORE INSERT OR UPDATE ON locations
+FOR EACH ROW
+EXECUTE FUNCTION gis.calculate_distance_to_district_unit();
+
+-- Comment explaining what this migration does
+COMMENT ON FUNCTION gis.calculate_distance_to_district_unit() IS 'Calculates the distance from a location to its district''s assigned police unit and populates the distance_to_unit field';
+COMMENT ON TRIGGER location_distance_to_unit_trigger ON locations IS 'Automatically calculates distance to district''s assigned police unit when a location is inserted or updated';
+
+-- Function to automatically create resource entries when new tables are created
+-- and then create CRUD permissions for all admin users
+-- Modified to work without event triggers
+CREATE OR REPLACE FUNCTION gis.create_resource_and_permissions_for_table(table_name text)
+RETURNS void AS $$
+DECLARE
+    resource_id uuid;
+    admin_role_id uuid;
+BEGIN
+    -- Get the admin role ID
+    SELECT id INTO admin_role_id FROM roles WHERE name = 'admin';
+    
+    -- If admin role doesn't exist, log a notice and exit
+    IF admin_role_id IS NULL THEN
+        RAISE NOTICE 'Admin role not found. No permissions created.';
+        RETURN;
+    END IF;
+    
+    -- Skip system tables and migration tables
+    IF table_name ~ '^(pg_|_|migrations)' THEN
+        RETURN;
+    END IF;
+    
+    -- Check if resource already exists for this table
+    IF NOT EXISTS (SELECT 1 FROM resources WHERE name = table_name) THEN
+        -- Create new resource entry
+        INSERT INTO resources (
+            id, 
+            name, 
+            type, 
+            description, 
+            instance_role, 
+            relations, 
+            attributes, 
+            created_at, 
+            updated_at
+        ) VALUES (
+            gen_random_uuid(), 
+            table_name, 
+            'table', 
+            'Auto-generated resource for table ' || table_name, 
+            NULL, 
+            NULL, 
+            '{"auto_generated": true}'::jsonb, 
+            NOW(), 
+            NOW()
+        )
+        RETURNING id INTO resource_id;
+        
+        RAISE NOTICE 'Created new resource for table %', table_name;
+        
+        -- Create CRUD permissions for admin role
+        -- Create permission
+        INSERT INTO permissions (id, action, resource_id, role_id, created_at, updated_at)
+        VALUES (
+            gen_random_uuid(), 
+            'create', 
+            resource_id, 
+            admin_role_id, 
+            NOW(), 
+            NOW()
+        );
+        
+        -- Read permission
+        INSERT INTO permissions (id, action, resource_id, role_id, created_at, updated_at)
+        VALUES (
+            gen_random_uuid(), 
+            'read', 
+            resource_id, 
+            admin_role_id, 
+            NOW(), 
+            NOW()
+        );
+        
+        -- Update permission
+        INSERT INTO permissions (id, action, resource_id, role_id, created_at, updated_at)
+        VALUES (
+            gen_random_uuid(), 
+            'update', 
+            resource_id, 
+            admin_role_id, 
+            NOW(), 
+            NOW()
+        );
+        
+        -- Delete permission
+        INSERT INTO permissions (id, action, resource_id, role_id, created_at, updated_at)
+        VALUES (
+            gen_random_uuid(), 
+            'delete', 
+            resource_id, 
+            admin_role_id, 
+            NOW(), 
+            NOW()
+        );
+        
+        RAISE NOTICE 'Created CRUD permissions for admin role on resource %', table_name;
+    END IF;
+END;
+$$ LANGUAGE plpgsql;
+
+-- Function to backfill resources and permissions for existing tables
+CREATE OR REPLACE FUNCTION gis.backfill_resources_and_permissions()
+RETURNS void AS $$
+DECLARE
+    table_record record;
+BEGIN
+    -- For each existing table in the public schema
+    FOR table_record IN 
+        SELECT table_name 
+        FROM information_schema.tables 
+        WHERE table_schema = 'public'
+        AND table_type = 'BASE TABLE'
+    LOOP
+        -- Call the function to create resource and permissions for each table
+        PERFORM gis.create_resource_and_permissions_for_table(table_record.table_name);
+    END LOOP;
+END;
+$$ LANGUAGE plpgsql;
+
+-- Comments explaining the functions
+COMMENT ON FUNCTION gis.create_resource_and_permissions_for_table(text) IS 'Creates resource entry and admin CRUD permissions for the specified table';
+COMMENT ON FUNCTION gis.backfill_resources_and_permissions() IS 'Function to backfill resources and permissions for existing tables';