This commit is contained in:
Prayoga K. I.
parent
d4b3a2d399
commit
16282861de
6
.env
6
.env
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@ -1,9 +1,11 @@
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# MySQL Database Configuration
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DB_CONNECTION=mysql
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DB_HOST=localhost
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DB_PORT=3306
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DB_USER=kali
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DB_PASSWORD=asu
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DB_USER=root
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DB_PASSWORD=
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DB_NAME=deteksi_pmk
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# Flask Configuration
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FLASK_SECRET=deteksi-pmk-secret-key-2026
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FLASK_DEBUG=1
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@ -232,7 +232,7 @@ expert_diseases
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-- Aturan forward chaining (5 aturan)
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expert_rules
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id INT AUTO_INCREMENT PK
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code VARCHAR(20) UNIQUE -- FC01–FC04
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code VARCHAR(20) UNIQUE -- FC01–FC05
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symptom_codes TEXT -- JSON array of symptom codes
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result_disease_code VARCHAR(10) FK → expert_diseases.code
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description TEXT
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@ -262,12 +262,12 @@ expert_rules_expert_symptoms
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- P03 = PMK_LAKTASI (gejala ambing)
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- P05 = PMK_AKUT_GENERAL (gejala umum berat)
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**4 Aturan (FC01–FC04):**
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**5 Aturan (FC01–FC05):**
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- FC01 → P01 (oral): [G01, G02, G03, G04, G11, G18, G19, G20, G21]
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- FC02 → P02 (podal): [G01, G02, G05, G06, G15, G22, G23, G24, G25]
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- FC03 → P03 (laktasi): [G01, G02, G07, G08, G09, G26, G27]
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- FC04 → P05 (akut umum): [G01, G02, G03, G04, G05, G06, G07, G09, G11, G12, G14, G18, G20, G22, G23, G24, G26]
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- FC05 → P05 (akut umum): [G01, G02, G03, G04, G05, G06, G07, G09, G11, G12, G14, G18, G20, G22, G23, G24, G26]
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> **Auto-check gejala dari hasil deteksi gambar** (di `app.py:pmk_to_symptoms`):
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> Mapping ini digunakan saat redirect ke expert system via mode=image. Hanya gejala spesifik body part yang diikutkan (tanpa gejala umum):
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4
app.py
4
app.py
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@ -811,7 +811,7 @@ def expert_system_page():
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# Jika ada hasil prediksi berbasis image processing sebelumnya, tambahkan ke konteks
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last_prediction = session.get('last_prediction', {})
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upload_images = session.get('upload_images_data', [])
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upload_images = session.get('upload_images_data', []) if use_image_context else []
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image_info = None
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if use_image_context and last_prediction.get('source') == 'image_processing':
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image_info = {
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@ -839,7 +839,7 @@ def expert_system_page():
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# Ambil informasi gambar dari session jika hasil sebelumnya berasal dari image processing
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last_prediction = session.get('last_prediction', {})
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upload_images = session.get('upload_images_data', [])
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upload_images = session.get('upload_images_data', []) if use_image_context else []
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image_info = None
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if use_image_context and last_prediction.get('source') == 'image_processing':
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image_info = {
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@ -167,7 +167,7 @@ class ForwardChaining:
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matched_rules = stats['matched_rules']
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avg_coverage = stats['coverage_sum'] / matched_rules if matched_rules else 0.0
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support_ratio = matched_rules / total_rules
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evidence_strength = min(stats['best_matched_count'] / 4.0, 1.0)
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evidence_strength = stats['best_matched_count'] / max(len(self.kb.gejala), 1)
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exact_bonus = 0.10 if stats['exact_rules'] > 0 else 0.0
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combined_score = (
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@ -180,7 +180,7 @@ class ForwardChaining:
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combined_score = min(combined_score, 0.99)
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if combined_score >= min_score_threshold:
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self.hasil[penyakit] = combined_score
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self.hasil[penyakit] = (combined_score, stats['best_matched_count'])
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self.disease_evidence = disease_evidence
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@ -203,7 +203,7 @@ class ForwardChaining:
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}
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# Urutkan hasil dari yang paling cocok
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hasil_urut = sorted(hasil_inferensi.items(), key=lambda x: x[1], reverse=True)
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hasil_urut = sorted(hasil_inferensi.items(), key=lambda x: (x[1][0], x[1][1]), reverse=True)
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# Pemetaan tingkat keparahan
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severity_map = {
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@ -214,7 +214,7 @@ class ForwardChaining:
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}
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diagnosis = []
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for kode_penyakit, score in hasil_urut:
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for kode_penyakit, (score, _matched_count) in hasil_urut:
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penyakit = self.kb.penyakit[kode_penyakit]
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relevant_aliases = DISEASE_ALIAS_MAP.get(kode_penyakit, {kode_penyakit})
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evidence_rules = [rule for rule in self.matched_rules if rule['hasil'] in relevant_aliases]
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@ -237,7 +237,7 @@ class ForwardChaining:
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'semua_diagnosis': diagnosis # Will be populated after all diagnosis generated
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})
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filtered_diagnosis = diagnosis[:1]
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filtered_diagnosis = diagnosis[:5]
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# Isi daftar hasil untuk ditampilkan ke pengguna
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for diag in filtered_diagnosis:
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@ -273,7 +273,7 @@ DEFAULT_EXPERT_RULES = [
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'display_order': 3,
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},
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{
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'code': 'FC04',
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'code': 'FC05',
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'symptom_codes': ['G01', 'G02', 'G03', 'G04', 'G05', 'G06', 'G07', 'G09', 'G11', 'G12', 'G14', 'G18', 'G20', 'G22', 'G23', 'G24', 'G26'],
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'result_disease_code': 'P05',
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'description': 'PMK akut: demam, air liur berlebihan, luka mulut, nyeri setelah lepuh pecah, lepuh kaki/kuku, lepuh puting, produksi susu menurun, nafsu makan turun, lesu, lepuh moncong, luka meluas, edema/radang, bengkak celah kuku, telapak kaki longgar, dan puting retak',
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