commit 45d819a5ce0f10dc7093a96b466c541bb8260ae2 Author: Harrisembuaba1234 <104016146+Harrisembuaba1234@users.noreply.github.com> Date: Mon May 26 21:27:13 2025 +0700 first commit diff --git a/app.py b/app.py new file mode 100644 index 0000000..82cda92 --- /dev/null +++ b/app.py @@ -0,0 +1,175 @@ +from flask import Flask, render_template, request, redirect, url_for, jsonify +import os +import base64 +import tensorflow as tf +from tensorflow import keras +from keras import preprocessing +import numpy as np +import cv2 +from werkzeug.utils import secure_filename +import time + +app = Flask(__name__) +app.config["UPLOAD_FOLDER"] = "static/uploads/" + +# folder static/uploads +if not os.path.exists(app.config["UPLOAD_FOLDER"]): + os.makedirs(app.config["UPLOAD_FOLDER"]) + +# Load model Hard Cascade Classifier +tomato_cascade = cv2.CascadeClassifier("model/tomato_classifier.xml") + +# Load kedua model klasifikasi +#model_ripe = keras.models.load_model("model/CNN MobileNetV2-epochs10new-100.0.h5") +#model_fresh = keras.models.load_model("model/CNN MobileNetV2-epochs10kesegaran-99.66.h5") + +modl_newgen = keras.models.load_model("model/CNN MobileNetV2-epochs5newgen-99.41.h5") + +# Fungsi deteksi tomat +def is_tomato(img_path): + """Deteksi apakah gambar mengandung tomat atau tidak""" + img = cv2.imread(img_path) + gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) + tomatoes = tomato_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30)) + return len(tomatoes) > 0 + +# Fungsi prediksi gambar +def predict_image(img_path, model, class_names): + img = preprocessing.image.load_img(img_path, target_size=(224, 224)) + img_array = preprocessing.image.img_to_array(img) + img_array = np.expand_dims(img_array, axis=0) + img_array /= 255.0 + predictions = model.predict(img_array) + result = np.argmax(predictions, axis=1) + confidence = int(np.max(predictions) * 100) + return class_names[result[0]], confidence + +@app.route("/") +def index(): + return render_template("index.html") + +@app.route("/upload", methods=["GET", "POST"]) +def upload(): + if request.method == "POST": + # Proses file unggahan + if 'file' not in request.files: + return render_template("upload.html", error="Tidak ada file yang dipilih.") + + file = request.files['file'] + if file.filename == '': + return render_template("upload.html", error="Nama file kosong. Silakan pilih file lain.") + + if file: + filename = secure_filename(file.filename) + filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename) + file.save(filepath) + + # Validasi gambar menggunakan Hard Cascade + if not is_tomato(filepath): + return render_template("upload.html", error="Gambar yang diunggah bukan tomat. Harap unggah gambar tomat.") + + # Simpan path gambar di sesi sementara untuk ditampilkan di halaman hasil + return redirect(url_for("predict", img_path=filename)) + + return render_template("upload.html") + +@app.route("/predict", methods=["GET", "POST"]) +def predict(): + if request.method == "POST": + # Tangani data gambar dari kamera + data = request.get_json() + if data and "image" in data: + # Decode Base64 menjadi file gambar + image_data = data["image"].split(",")[1] + image_bytes = base64.b64decode(image_data) + filename = f"camera_{int(time.time())}.png" + filepath = os.path.join(app.config["UPLOAD_FOLDER"], filename) + + # Simpan gambar ke folder uploads + with open(filepath, "wb") as f: + f.write(image_bytes) + + # Validasi gambar menggunakan Hard Cascade + if not is_tomato(filepath): + return jsonify({"success": False, "error": "Gambar yang diambil bukan tomat. Harap ambil gambar tomat."}), 400 + + # Lakukan prediksi setelah validasi + #class_names_ripe = ['Belum Matang', 'Matang'] + #class_names_fresh = ['Busuk', 'Segar'] + + class_names_tomat = ['Matang Busuk', 'Matang Segar', 'Mentah Busuk', 'Mentah Segar'] + + # Prediksi kematangan + #predicted_class_ripe, confidence_ripe = predict_image(filepath, model_ripe, class_names_ripe) + + # Prediksi kesegaran + #predicted_class_fresh, confidence_fresh = predict_image(filepath, model_fresh, class_names_fresh) + + predicted_class_tomat, confidence_tomat = predict_image(filepath, modl_newgen, class_names_tomat) + + # Gabungkan hasil prediksi + #predicted_class = f"{predicted_class_tomat}" + #average_confidence = round((confidence_ripe + confidence_fresh) / 2, 2) + + # Kirim hasil prediksi sebagai respons JSON + return jsonify({ + "success": True, + "filename": filename, + "predicted_class": predicted_class_tomat, + "confidence": confidence_tomat + }) + + return jsonify({"success": False, "error": "No valid image data received"}), 400 + + # Tangani metode GET untuk menampilkan halaman prediksi + img_path = request.args.get("img_path") + if not img_path: + return redirect(url_for("upload")) + + filepath = os.path.join(app.config["UPLOAD_FOLDER"], img_path) + if not os.path.exists(filepath): + return redirect(url_for("upload")) + + #class_names_ripe = ['Belum Matang', 'Matang'] + #class_names_fresh = ['Busuk', 'Segar'] + + class_names_tomat = ['Matang Busuk', 'Matang Segar', 'Mentah Busuk', 'Mentah Segar'] + + # Prediksi kematangan + #predicted_class_ripe, confidence_ripe = predict_image(filepath, model_ripe, class_names_ripe) + + # Prediksi kesegaran + #predicted_class_fresh, confidence_fresh = predict_image(filepath, model_fresh, class_names_fresh) + + #predicted_class = f"{predicted_class_ripe} & {predicted_class_fresh}" + #average_confidence = round((confidence_ripe + confidence_fresh) / 2, 2) + + predicted_class_tomat, confidence_tomat = predict_image(filepath, modl_newgen, class_names_tomat) + + local_time = time.localtime(time.time()) + data_date = time.strftime("%d-%m-%Y", local_time) + data_time = time.strftime("%H:%M:%S", local_time) + + return render_template( + "predict.html", + img_path=img_path, + predicted_class=predicted_class_tomat, + confidence=confidence_tomat, + data_date=data_date, + data_time=data_time + ) + +@app.route("/more") +def more(): + return render_template("more.html") + +@app.route("/faq") +def faq(): + return render_template("faq.html") + +@app.route("/about") +def about(): + return render_template("about.html") + +if __name__ == "__main__": + app.run(host="0.0.0.0", port=5000, debug=True) diff --git a/cert.pem b/cert.pem new file mode 100644 index 0000000..39ff75d --- /dev/null +++ b/cert.pem @@ -0,0 +1,31 @@ +-----BEGIN CERTIFICATE----- +MIIFazCCA1OgAwIBAgIUBBUH7GVLZnSlzG8fGUoKKpI4BkMwDQYJKoZIhvcNAQEL +BQAwRTELMAkGA1UEBhMCQVUxEzARBgNVBAgMClNvbWUtU3RhdGUxITAfBgNVBAoM 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text-align: var(--bs-body-text-align); + background-color: var(--bs-body-bg); + -webkit-text-size-adjust: 100%; + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); +} + +@media (min-width: 1200px) { + legend { + font-size: 1.5rem; + } +} + +@media (min-width: 1200px) { + .offcanvas-xl { + --bs-offcanvas-height: auto; + --bs-offcanvas-border-width: 0; + background-color: transparent !important; + } + .offcanvas-xl .offcanvas-header { + display: none; + } + .offcanvas-xl .offcanvas-body { + display: flex; + flex-grow: 0; + padding: 0; + overflow-y: visible; + background-color: transparent !important; + } +} + +@media (min-width: 1200px) { + .sticky-xl-top { + position: sticky; + top: 0; + z-index: 1020; + } + .sticky-xl-bottom { + position: sticky; + bottom: 0; + z-index: 1020; + } +} + +.shadow { + box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15) !important; +} + +.shadow-sm { + box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075) !important; +} + +.shadow-lg { + box-shadow: 0 1rem 3rem rgba(0, 0, 0, 0.175) !important; +} + +.shadow-none { + box-shadow: none !important; +} + +.position-static { + position: static !important; +} + +.m-0 { + margin: 0 !important; +} + +.m-1 { + margin: 0.25rem !important; +} + +.m-2 { + margin: 0.5rem !important; +} + +.m-3 { + margin: 1rem !important; +} + +.m-4 { + margin: 1.5rem !important; +} + +.m-5 { + margin: 3rem !important; +} + +.m-auto { + margin: auto !important; +} + +.mx-0 { + margin-right: 0 !important; + margin-left: 0 !important; +} + +.mx-1 { + margin-right: 0.25rem !important; + margin-left: 0.25rem !important; +} + +.mx-2 { + margin-right: 0.5rem !important; + margin-left: 0.5rem !important; +} + +.mx-3 { + margin-right: 1rem !important; + margin-left: 1rem !important; +} + +.mx-4 { + margin-right: 1.5rem !important; + margin-left: 1.5rem !important; +} + +.mx-5 { + margin-right: 3rem !important; + margin-left: 3rem !important; +} + +.mx-auto { + margin-right: auto !important; + margin-left: auto !important; +} + +.my-0 { + margin-top: 0 !important; + margin-bottom: 0 !important; +} + +.my-1 { + margin-top: 0.25rem !important; + margin-bottom: 0.25rem !important; +} + +.my-2 { + margin-top: 0.5rem !important; + margin-bottom: 0.5rem !important; +} + +.my-3 { + margin-top: 1rem !important; + margin-bottom: 1rem !important; +} + +.my-4 { + margin-top: 1.5rem !important; + margin-bottom: 1.5rem !important; +} + +.my-5 { + margin-top: 3rem !important; + margin-bottom: 3rem !important; +} + +.my-auto { + margin-top: auto !important; + margin-bottom: auto !important; +} + +.mt-0 { + margin-top: 0 !important; +} + +.mt-1 { + margin-top: 0.25rem !important; +} + +.mt-2 { + margin-top: 0.5rem !important; +} + +.mt-3 { + margin-top: 1rem !important; +} + +.mt-4 { + margin-top: 1.5rem !important; +} + +.mt-5 { + margin-top: 3rem !important; +} + +.mt-auto { + margin-top: auto !important; +} + +.me-0 { + margin-right: 0 !important; +} + +.me-1 { + margin-right: 0.25rem !important; +} + +.me-2 { + margin-right: 0.5rem !important; +} + +.me-3 { + margin-right: 1rem !important; +} + +.me-4 { + margin-right: 1.5rem !important; +} + +.me-5 { + margin-right: 3rem !important; +} + +.me-auto { + margin-right: auto !important; +} + +.mb-0 { + margin-bottom: 0 !important; +} + +.mb-1 { + margin-bottom: 0.25rem !important; +} + +.mb-2 { + margin-bottom: 0.5rem !important; +} + +.mb-3 { + margin-bottom: 1rem !important; +} + +.mb-4 { + margin-bottom: 1.5rem !important; +} + +.mb-5 { + margin-bottom: 3rem !important; +} + +.mb-auto { + margin-bottom: auto !important; +} + +.ms-0 { + margin-left: 0 !important; +} + +.ms-1 { + margin-left: 0.25rem !important; +} + +.ms-2 { + margin-left: 0.5rem !important; +} + +.ms-3 { + margin-left: 1rem !important; +} + +.ms-4 { + margin-left: 1.5rem !important; +} + +.ms-5 { + margin-left: 3rem !important; +} + +.ms-auto { + margin-left: auto !important; +} + +@media (min-width: 576px) { + .float-sm-start { + float: left !important; + } + .float-sm-end { + float: right !important; + } + .float-sm-none { + float: none !important; + } + .d-sm-inline { + display: inline !important; + } + .d-sm-inline-block { + display: inline-block !important; + } + .d-sm-block { + display: block !important; + } + .d-sm-grid { + display: grid !important; + } + .d-sm-table { + display: table !important; + } + .d-sm-table-row { + display: table-row !important; + } + .d-sm-table-cell { + display: table-cell !important; + } + .d-sm-flex { + display: flex !important; + } + .d-sm-inline-flex { + display: inline-flex !important; + } + .d-sm-none { + display: none !important; + } + .flex-sm-fill { + flex: 1 1 auto !important; + } + .flex-sm-row { + flex-direction: row !important; + } + .flex-sm-column { + flex-direction: column !important; + } + .flex-sm-row-reverse { + flex-direction: row-reverse !important; + } + .flex-sm-column-reverse { + flex-direction: column-reverse !important; + } + .flex-sm-grow-0 { + flex-grow: 0 !important; + } + .flex-sm-grow-1 { + flex-grow: 1 !important; + } + .flex-sm-shrink-0 { + flex-shrink: 0 !important; + } + .flex-sm-shrink-1 { + flex-shrink: 1 !important; + } + .flex-sm-wrap { + flex-wrap: wrap !important; + } + .flex-sm-nowrap { + flex-wrap: nowrap !important; + } + .flex-sm-wrap-reverse { + flex-wrap: wrap-reverse !important; + } + .justify-content-sm-start { + justify-content: flex-start !important; + } + .justify-content-sm-end { + justify-content: flex-end !important; + } + .justify-content-sm-center { + justify-content: center !important; + } + .justify-content-sm-between { + justify-content: space-between !important; + } + .justify-content-sm-around { + justify-content: space-around !important; + } + .justify-content-sm-evenly { + justify-content: space-evenly !important; + } + .align-items-sm-start { + align-items: flex-start !important; + } + .align-items-sm-end { + align-items: flex-end !important; + } + .align-items-sm-center { + align-items: center !important; + } + .align-items-sm-baseline { + align-items: baseline !important; + } + .align-items-sm-stretch { + align-items: stretch !important; + } + .align-content-sm-start { + align-content: flex-start !important; + } + .align-content-sm-end { + align-content: flex-end !important; + } + .align-content-sm-center { + align-content: center !important; + } + .align-content-sm-between { + align-content: space-between !important; + } + .align-content-sm-around { + align-content: space-around !important; + } + .align-content-sm-stretch { + align-content: stretch !important; + } + .align-self-sm-auto { + align-self: auto !important; + } + .align-self-sm-start { + align-self: flex-start !important; + } + .align-self-sm-end { + align-self: flex-end !important; + } + .align-self-sm-center { + align-self: center !important; + } + .align-self-sm-baseline { + align-self: baseline !important; + } + .align-self-sm-stretch { + align-self: stretch !important; + } + .order-sm-first { + order: -1 !important; + } + .order-sm-0 { + order: 0 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} + .mx-sm-5 { + margin-right: 3rem !important; + margin-left: 3rem !important; + } + .mx-sm-auto { + margin-right: auto !important; + margin-left: auto !important; + } + .my-sm-0 { + margin-top: 0 !important; + margin-bottom: 0 !important; + } + .my-sm-1 { + margin-top: 0.25rem !important; + margin-bottom: 0.25rem !important; + } + .my-sm-2 { + margin-top: 0.5rem !important; + margin-bottom: 0.5rem !important; + } + .my-sm-3 { + margin-top: 1rem !important; + margin-bottom: 1rem !important; + } + .my-sm-4 { + margin-top: 1.5rem !important; + margin-bottom: 1.5rem !important; + } + .my-sm-5 { + margin-top: 3rem !important; + margin-bottom: 3rem !important; + } + .my-sm-auto { + margin-top: auto !important; + margin-bottom: auto !important; + } + .mt-sm-0 { + margin-top: 0 !important; + } + .mt-sm-1 { + margin-top: 0.25rem !important; + } + .mt-sm-2 { + margin-top: 0.5rem !important; + } + .mt-sm-3 { + margin-top: 1rem !important; + } + .mt-sm-4 { + margin-top: 1.5rem !important; + } + 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!important; + } + .ms-sm-4 { + margin-left: 1.5rem !important; + } + .ms-sm-5 { + margin-left: 3rem !important; + } + .ms-sm-auto { + margin-left: auto !important; + } + .p-sm-0 { + padding: 0 !important; + } + .p-sm-1 { + padding: 0.25rem !important; + } + .p-sm-2 { + padding: 0.5rem !important; + } + .p-sm-3 { + padding: 1rem !important; + } + .p-sm-4 { + padding: 1.5rem !important; + } + .p-sm-5 { + padding: 3rem !important; + } + .px-sm-0 { + padding-right: 0 !important; + padding-left: 0 !important; + } + .px-sm-1 { + padding-right: 0.25rem !important; + padding-left: 0.25rem !important; + } + .px-sm-2 { + padding-right: 0.5rem !important; + padding-left: 0.5rem !important; + } + .px-sm-3 { + padding-right: 1rem !important; + padding-left: 1rem !important; + } + .px-sm-4 { + padding-right: 1.5rem !important; + padding-left: 1.5rem !important; + } + .px-sm-5 { + padding-right: 3rem !important; + padding-left: 3rem !important; + } + .py-sm-0 { + padding-top: 0 !important; + padding-bottom: 0 !important; + } + .py-sm-1 { + padding-top: 0.25rem !important; + padding-bottom: 0.25rem !important; + } + .py-sm-2 { + padding-top: 0.5rem !important; + padding-bottom: 0.5rem !important; + } + .py-sm-3 { + padding-top: 1rem !important; + padding-bottom: 1rem !important; + } + .py-sm-4 { + padding-top: 1.5rem !important; + padding-bottom: 1.5rem !important; + } + .py-sm-5 { + padding-top: 3rem !important; + padding-bottom: 3rem !important; + } + .pt-sm-0 { + padding-top: 0 !important; + } + .pt-sm-1 { + padding-top: 0.25rem !important; + } + .pt-sm-2 { + padding-top: 0.5rem !important; + } + .pt-sm-3 { + padding-top: 1rem !important; + } + .pt-sm-4 { + padding-top: 1.5rem !important; + } + .pt-sm-5 { + padding-top: 3rem !important; + } + .pe-sm-0 { + padding-right: 0 !important; + } + .pe-sm-1 { + padding-right: 0.25rem !important; + } + .pe-sm-2 { + padding-right: 0.5rem !important; + } + .pe-sm-3 { + padding-right: 1rem !important; + } + .pe-sm-4 { + padding-right: 1.5rem !important; + } + .pe-sm-5 { + padding-right: 3rem !important; + } + .pb-sm-0 { + padding-bottom: 0 !important; + } + .pb-sm-1 { + padding-bottom: 0.25rem !important; + } + .pb-sm-2 { + padding-bottom: 0.5rem !important; + } + .pb-sm-3 { + padding-bottom: 1rem !important; + } + .pb-sm-4 { + padding-bottom: 1.5rem !important; + } + .pb-sm-5 { + padding-bottom: 3rem !important; + } + .ps-sm-0 { + padding-left: 0 !important; + } + .ps-sm-1 { + padding-left: 0.25rem !important; + } + .ps-sm-2 { + padding-left: 0.5rem !important; + } + .ps-sm-3 { + padding-left: 1rem !important; + } + .ps-sm-4 { + padding-left: 1.5rem !important; + } + .ps-sm-5 { + padding-left: 3rem !important; + } + .gap-sm-0 { + gap: 0 !important; + } + .gap-sm-1 { + gap: 0.25rem !important; + } + .gap-sm-2 { + gap: 0.5rem !important; + } + .gap-sm-3 { + gap: 1rem !important; + } + .gap-sm-4 { + gap: 1.5rem !important; + } + .gap-sm-5 { + gap: 3rem !important; + } + .text-sm-start { + text-align: left !important; + } + .text-sm-end { + text-align: right !important; + } + .text-sm-center { + text-align: center !important; + } +} + +@media (min-width: 1200px) { + .float-xl-start { + float: left !important; + } + .float-xl-end { + float: right !important; + } + .float-xl-none { + float: none !important; + } + .d-xl-inline { + display: inline !important; + } + .d-xl-inline-block { + display: inline-block !important; + } + .d-xl-block { + display: block !important; + } + .d-xl-grid { + display: grid !important; + } + .d-xl-table { + display: table !important; + } + .d-xl-table-row { + display: table-row !important; + } + .d-xl-table-cell { + display: table-cell !important; + } + .d-xl-flex { + display: flex !important; + } + .d-xl-inline-flex { + display: inline-flex !important; + } + .d-xl-none { + display: none !important; + } + .flex-xl-fill { + flex: 1 1 auto !important; + } + .flex-xl-row { + flex-direction: row !important; + } + .flex-xl-column { + flex-direction: column !important; + } + .flex-xl-row-reverse { + flex-direction: row-reverse !important; + } + .flex-xl-column-reverse { + flex-direction: column-reverse !important; + } + .flex-xl-grow-0 { + flex-grow: 0 !important; + } + .flex-xl-grow-1 { + flex-grow: 1 !important; + } + .flex-xl-shrink-0 { + flex-shrink: 0 !important; + } + .flex-xl-shrink-1 { + flex-shrink: 1 !important; + } + .flex-xl-wrap { + flex-wrap: wrap !important; + } + .flex-xl-nowrap { + flex-wrap: nowrap !important; + } + .flex-xl-wrap-reverse { + flex-wrap: wrap-reverse !important; + } + .justify-content-xl-start { + justify-content: flex-start !important; + } + .justify-content-xl-end { + justify-content: flex-end !important; + } + .justify-content-xl-center { + justify-content: center !important; + } + .justify-content-xl-between { + justify-content: space-between !important; + } + .justify-content-xl-around { + justify-content: space-around !important; + } + .justify-content-xl-evenly { + justify-content: space-evenly !important; + } + .align-items-xl-start { + align-items: flex-start !important; + } + .align-items-xl-end { + align-items: flex-end !important; + } + .align-items-xl-center { + align-items: center !important; + } + .align-items-xl-baseline { + align-items: baseline !important; + } + .align-items-xl-stretch { + align-items: stretch !important; + } + .align-content-xl-start { + align-content: flex-start !important; + } + .align-content-xl-end { + align-content: flex-end !important; + } + .align-content-xl-center { + align-content: center !important; + } + .align-content-xl-between { + align-content: space-between !important; + } + .align-content-xl-around { + align-content: space-around !important; + } + .align-content-xl-stretch { + align-content: stretch !important; + } + .align-self-xl-auto { + align-self: auto !important; + } + .align-self-xl-start { + align-self: flex-start !important; + } + .align-self-xl-end { + align-self: flex-end !important; + } + .align-self-xl-center { + align-self: center !important; + } + .align-self-xl-baseline { + align-self: baseline !important; + } + .align-self-xl-stretch { + align-self: stretch !important; + } + .order-xl-first { + order: -1 !important; + } + .order-xl-0 { + order: 0 !important; + } + .order-xl-1 { + order: 1 !important; + } + .order-xl-2 { + order: 2 !important; + } + .order-xl-3 { + order: 3 !important; + } + .order-xl-4 { + order: 4 !important; + } + .order-xl-5 { + order: 5 !important; + } + .order-xl-last { + order: 6 !important; + } + .m-xl-0 { + margin: 0 !important; + } + .m-xl-1 { + margin: 0.25rem !important; + } + .m-xl-2 { + margin: 0.5rem !important; + } + .m-xl-3 { + margin: 1rem !important; + } + .m-xl-4 { + margin: 1.5rem !important; + } + .m-xl-5 { + margin: 3rem !important; + } + .m-xl-auto { + margin: auto !important; + } + .mx-xl-0 { + margin-right: 0 !important; + margin-left: 0 !important; + } + .mx-xl-1 { + margin-right: 0.25rem !important; + margin-left: 0.25rem !important; + } + .mx-xl-2 { + margin-right: 0.5rem !important; + margin-left: 0.5rem !important; + } + .mx-xl-3 { + margin-right: 1rem !important; + margin-left: 1rem !important; + } + .mx-xl-4 { + margin-right: 1.5rem !important; + margin-left: 1.5rem !important; + } + .mx-xl-5 { + margin-right: 3rem !important; + margin-left: 3rem !important; + } + .mx-xl-auto { + margin-right: auto !important; + margin-left: auto !important; + } + .my-xl-0 { + margin-top: 0 !important; + margin-bottom: 0 !important; + } + .my-xl-1 { + margin-top: 0.25rem !important; + margin-bottom: 0.25rem !important; + } + .my-xl-2 { + margin-top: 0.5rem !important; + margin-bottom: 0.5rem !important; + } + .my-xl-3 { + margin-top: 1rem !important; + margin-bottom: 1rem !important; + } + .my-xl-4 { + margin-top: 1.5rem !important; + margin-bottom: 1.5rem !important; + } + .my-xl-5 { + margin-top: 3rem !important; + margin-bottom: 3rem !important; + } + .my-xl-auto { + margin-top: auto !important; + margin-bottom: auto !important; + } + .mt-xl-0 { + margin-top: 0 !important; + } + .mt-xl-1 { + margin-top: 0.25rem !important; + } + .mt-xl-2 { + margin-top: 0.5rem !important; + } + .mt-xl-3 { + margin-top: 1rem !important; + } + .mt-xl-4 { + margin-top: 1.5rem !important; + } + .mt-xl-5 { + margin-top: 3rem !important; + } + .mt-xl-auto { + margin-top: auto !important; + } + .me-xl-0 { + margin-right: 0 !important; + } + .me-xl-1 { + margin-right: 0.25rem !important; + } + .me-xl-2 { + margin-right: 0.5rem !important; + } + .me-xl-3 { + margin-right: 1rem !important; + } + .me-xl-4 { + margin-right: 1.5rem !important; + } + .me-xl-5 { + margin-right: 3rem !important; + } + .me-xl-auto { + margin-right: auto !important; + } + .mb-xl-0 { + margin-bottom: 0 !important; + } + .mb-xl-1 { + margin-bottom: 0.25rem !important; + } + .mb-xl-2 { + margin-bottom: 0.5rem !important; + } + .mb-xl-3 { + margin-bottom: 1rem !important; + } + .mb-xl-4 { + margin-bottom: 1.5rem !important; + } + .mb-xl-5 { + margin-bottom: 3rem !important; + } + .mb-xl-auto { + margin-bottom: auto !important; + } + .ms-xl-0 { + margin-left: 0 !important; + } + .ms-xl-1 { + margin-left: 0.25rem !important; + } + .ms-xl-2 { + margin-left: 0.5rem !important; + } + .ms-xl-3 { + margin-left: 1rem !important; + } + .ms-xl-4 { + margin-left: 1.5rem !important; + } + .ms-xl-5 { + margin-left: 3rem !important; + } + .ms-xl-auto { + margin-left: auto !important; + } + .p-xl-0 { + padding: 0 !important; + } + .p-xl-1 { + padding: 0.25rem !important; + } + .p-xl-2 { + padding: 0.5rem !important; + } + .p-xl-3 { + padding: 1rem !important; + } + .p-xl-4 { + padding: 1.5rem !important; + } + .p-xl-5 { + padding: 3rem !important; + } + .px-xl-0 { + padding-right: 0 !important; + padding-left: 0 !important; + } + .px-xl-1 { + padding-right: 0.25rem !important; + padding-left: 0.25rem !important; + } + .px-xl-2 { + padding-right: 0.5rem !important; + padding-left: 0.5rem !important; + } + .px-xl-3 { + padding-right: 1rem !important; + padding-left: 1rem !important; + } + .px-xl-4 { + padding-right: 1.5rem !important; + padding-left: 1.5rem !important; + } + .px-xl-5 { + padding-right: 3rem !important; + padding-left: 3rem !important; + } + .py-xl-0 { + padding-top: 0 !important; + padding-bottom: 0 !important; + } + .py-xl-1 { + padding-top: 0.25rem !important; + padding-bottom: 0.25rem !important; + } + .py-xl-2 { + padding-top: 0.5rem !important; + padding-bottom: 0.5rem !important; + } + .py-xl-3 { + padding-top: 1rem !important; + padding-bottom: 1rem !important; + } + .py-xl-4 { + padding-top: 1.5rem !important; + padding-bottom: 1.5rem !important; + } + .py-xl-5 { + padding-top: 3rem !important; + padding-bottom: 3rem !important; + } + .pt-xl-0 { + padding-top: 0 !important; + } + .pt-xl-1 { + padding-top: 0.25rem !important; + } + .pt-xl-2 { + padding-top: 0.5rem !important; + } + .pt-xl-3 { + padding-top: 1rem !important; + } + .pt-xl-4 { + padding-top: 1.5rem !important; + } + .pt-xl-5 { + padding-top: 3rem !important; + } + .pe-xl-0 { + padding-right: 0 !important; + } + .pe-xl-1 { + padding-right: 0.25rem !important; + } + .pe-xl-2 { + padding-right: 0.5rem !important; + } + .pe-xl-3 { + padding-right: 1rem !important; + } + .pe-xl-4 { + padding-right: 1.5rem !important; + } + .pe-xl-5 { + padding-right: 3rem !important; + } + .pb-xl-0 { + padding-bottom: 0 !important; + } + .pb-xl-1 { + padding-bottom: 0.25rem !important; + } + .pb-xl-2 { + padding-bottom: 0.5rem !important; + } + .pb-xl-3 { + padding-bottom: 1rem !important; + } + .pb-xl-4 { + padding-bottom: 1.5rem !important; + } + .pb-xl-5 { + padding-bottom: 3rem !important; + } + .ps-xl-0 { + padding-left: 0 !important; + } + .ps-xl-1 { + padding-left: 0.25rem !important; + } + .ps-xl-2 { + padding-left: 0.5rem !important; + } + .ps-xl-3 { + padding-left: 1rem !important; + } + .ps-xl-4 { + padding-left: 1.5rem !important; + } + .ps-xl-5 { + padding-left: 3rem !important; + } + .gap-xl-0 { + gap: 0 !important; + } + .gap-xl-1 { + gap: 0.25rem !important; + } + .gap-xl-2 { + gap: 0.5rem !important; + } + .gap-xl-3 { + gap: 1rem !important; + } + .gap-xl-4 { + gap: 1.5rem !important; + } + .gap-xl-5 { + gap: 3rem !important; + } + .text-xl-start { + text-align: left !important; + } + .text-xl-end { + text-align: right !important; + } + .text-xl-center { + text-align: center !important; + } +} +body, +html { + height: 100%; +} \ No newline at end of file diff --git a/static/uploads/2.jpg b/static/uploads/2.jpg new file mode 100644 index 0000000..0793994 Binary files /dev/null and b/static/uploads/2.jpg differ diff --git a/static/uploads/222.jpg b/static/uploads/222.jpg new file mode 100644 index 0000000..411c811 Binary files /dev/null and b/static/uploads/222.jpg differ diff --git a/static/uploads/3.jpg b/static/uploads/3.jpg new file mode 100644 index 0000000..8be2062 Binary files /dev/null and b/static/uploads/3.jpg differ diff --git a/static/uploads/32wt5nv8.png b/static/uploads/32wt5nv8.png new file mode 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+
+
+

Tentang Aplikasi

+

Sistem Prediksi Kematangan dan Kesegaran Tomat

+
+

+ Aplikasi ini dikembangkan untuk membantu pengguna dalam menganalisis tingkat kematangan dan kesegaran tomat + secara otomatis menggunakan teknologi kecerdasan buatan. Dengan mengunggah gambar tomat, sistem akan memberikan + hasil prediksi berdasarkan warna dan tekstur tomat yang telah dilatih dalam model AI. +

+

Tujuan Pengembangan

+
    +
  • Mempermudah petani dan pedagang dalam menentukan kualitas tomat.
    • +
  • Menggunakan teknologi AI untuk menganalisis kematangan buah secara akurat.
    • +
  • Mengurangi ketergantungan pada pemeriksaan manual yang bisa bersifat subjektif.
    • +
+

Tentang Pengembang

+

+ Sistem ini dibuat oleh Bagus Haris Suhartono, mahasiswa Teknik Informatika, PSDku Nganjuk, angkatan 2021, + sebagai bagian dari tugas akhir kelulusan. Pengembangan aplikasi ini dilakukan dengan harapan dapat memberikan manfaat + bagi masyarakat, khususnya dalam bidang pertanian dan distribusi hasil panen. +

+

Teknologi yang Digunakan

+
    +
  • Framework: Flask
    • +
  • Bahasa Pemrograman: Python
    • +
  • Model AI untuk klasifikasi gambar
    • +
  • Bootstrap 5 untuk tampilan antarmuka
    • +
+

+ Terima kasih telah menggunakan aplikasi ini! +

+
+
+
+ +{% endblock %} \ No newline at end of file diff --git a/templates/base.html b/templates/base.html new file mode 100644 index 0000000..2ad1037 --- /dev/null +++ b/templates/base.html @@ -0,0 +1,133 @@ + + + + + + + {% block title %}My Website{% endblock %} + + + + + + + + + + + + + + + +
+ {% block content %}{% endblock %} +
+ + + + + + + + + + diff --git a/templates/faq.html b/templates/faq.html new file mode 100644 index 0000000..27ae50e --- /dev/null +++ b/templates/faq.html @@ -0,0 +1,114 @@ +{% extends "base.html" %} + +{% block title %}FAQ{% endblock %} + +{% block content %} +
+

Frequently Asked Questions

+

Kumpulan pertanyaan terkait penggunaan web prediksi kematangan dan kualitas tomat.

+
+
+
+

+ +

+
+
+ 1. Pertama, berada pada halaman home.
+ 2. Klik pada tombol Prediksi AI (halaman akan dialihkan pada halaman prediksi).
+ 3. Selanjutnya, arahkan kamera ke arah objek tomat".
+ 4. Kemudian klik tombol ambil gambar.
+ 5. Setelah itu, gambar akan dimuat oleh sistem.
+ 6. Terakhir, hasil prediksi akan muncul. +
+
+
+
+

+ +

+
+
+ 1. Pertama, berada pada halaman home.
+ 2. Klik pada tombol Prediksi AI (halaman akan dialihkan pada halaman prediksi).
+ 3. Selanjutnya, silahkan klik "Pilih File".
+ 4. Kemudian pilih gambar yang akan dianalisis.
+ 5. Setelah itu, gambar akan dimuat oleh sistem.
+ 6. Terakhir, klik tombol "Upload and Predict". +
+
+
+ +
+

+ +

+
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+ Pengguna dapat mengunggah gambar dalam format .jpg, .jpeg, atau .png untuk dianalisis. +
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+ +
+

+ +

+
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+ Hasil prediksi tersedia dalam maksimal 7 detik setelah gambar diunggah. +
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+ +
+

+ +

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+ Pengguna harus memastikan bahwa gambar yang diunggah telah sesuai dengan format yang telah ditentukan. +
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+

+ +

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+ Dalam penggunaan layanan prediksi AI ini tidak perlu membuat akun atau melakukan registrasi terlebih dahulu. +
+
+
+ +
+

+ +

+
+
+ Prediksi AI ini memiliki tingkat akurasi tinggi berdasarkan dataset pelatihan yang luas. Namun, hasil prediksi tetap bergantung pada kualitas gambar yang diunggah. Untuk memastikan tingkat kematangan dan kesegaran tomat secara langsung, disarankan melakukan pengecekan manual berdasarkan warna, tekstur, dan aroma. +
+
+
+ +
+
+ +{% endblock %} diff --git a/templates/index.html b/templates/index.html new file mode 100644 index 0000000..638f44f --- /dev/null +++ b/templates/index.html @@ -0,0 +1,90 @@ +{% extends "base.html" %} + +{% block title %}TOMATO AI{% endblock %} + +{% block content %} + + + + +
+
+
+
+
+

+ Deteksi Tingkat Kematangan dan Kualitas Tomat +

+

+ Sistem berbasis Artificial Intelligence untuk mendeteksi tingkat kematangan dan kualitas tomat + dengan akurasi tinggi. +

+
+ + Prediksi AI + + + Penjelasan Lebih Detail + +
+
+
+
+ Tomato AI +
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+
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+ +
+
+
+
+

+ Kelas Prediksi Kematangan dan Kualitas Tomat +

+

+ Dataset berisi lebih dari 4000 gambar tomat yang diklasifikasikan menjadi 4 kelas dengan kategori + matang busuk, matang segar, mentah busuk, dan mentah segar. +

+
+
+
+ {% set categories = [ + { "title": "Matang Busuk", "img": "/static/image/tomatBusuk.jpg", "desc": "Tomat yang sudah matang namun mengalami pembusukan, biasanya berwarna merah, lembek, berair, dan dapat mengeluarkan bau tidak sedap." }, + { "title": "Matang Segar", "img": "/static/image/tomat_matang.jpg", "desc": "Tomat matang berwarna merah cerah, memiliki rasa manis, tekstur lembut, dan masih dalam kondisi segar tanpa tanda-tanda busuk." }, + { "title": "Mentah Busuk", "img": "/static/image/mentah_busuk.jpg", "desc": "Tomat masih mentah namun sudah mengalami pembusukan, biasanya berwarna hijau pucat, mulai lembek, dan berbau tidak sedap." }, + { "title": "Mentah Segar", "img": "/static/image/Tomat_hijo.jpg", "desc": "Tomat mentah yang masih segar, berwarna hijau, teksturnya keras, dan belum menunjukkan tanda-tanda pembusukan." } + ] %} + {% for category in categories %} +
+
+
+ {{ category.title }} +
+
+
+ {{ category.title }} +
+

+ {{ category.desc }} +

+
+
+
+ {% endfor %} +
+
+
+{% endblock %} diff --git a/templates/more.html b/templates/more.html new file mode 100644 index 0000000..ae8cfe3 --- /dev/null +++ b/templates/more.html @@ -0,0 +1,55 @@ +{% extends "base.html" %} + +{% block title %}MORE{% endblock %} + +{% block content %} +
+

Penjelasan Tomat

+

Apa itu Tomat?

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+ +
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+

Definisi Tomat, Tomat (Lycopersicum esculentum) adalah tumbuhan yang berasal dari Amerika Tengah dan Selatan dan termasuk dalam keluarga Solanaceae. + Kata "tomat" diambil dari bahasa Nauhat, dan tomat memiliki hubungan erat dengan kentang. Tumbuhan ini memiliki siklus hidup yang pendek dan dapat tumbuh hingga ketinggian sekitar 1 hingga 3 meter. + Meskipun secara teknis merupakan buah, tomat sering dianggap sebagai sayuran. Tomat sering digunakan sebagai sayuran, bumbu masakan, buah meja, bahan pewarna, dan dalam kosmetik. + Tomat kaya akan antioksidan yang bermanfaat untuk meningkatkan kekebalan tubuh, melembutkan dan mencerahkan kulit, serta mencegah hipertensi, dan lain-lain. +


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+

Tomat adalah komoditas unggulan dalam hortikultura yang memiliki nilai penting di Indonesia. + Di Indonesia, permintaan pasar untuk sayuran, terutama tomat, terus meningkat setiap tahun, seperti yang tercermin dari peningkatan angka produksi tomat. + Tantangan yang sering dihadapi adalah kurangnya ketersediaan varietas tomat unggul yang memiliki hasil produksi tinggi, kualitas buah yang baik, + serta ketahanan terhadap hama dan penyakit. Mengingat tingginya permintaan tomat, sangat penting untuk melakukan pemilihan atau sortasi tomat berkualitas tinggi guna memenuhi kebutuhan pasar domestik dan internasional, + yang sering kali mengalami ketidaksesuaian antara kualitas yang diharapkan dengan kualitas produk yang dihasilkan. +

+ +

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+ + +{% endblock %} \ No newline at end of file diff --git a/templates/predict.html b/templates/predict.html new file mode 100644 index 0000000..2fe0d37 --- /dev/null +++ b/templates/predict.html @@ -0,0 +1,63 @@ +{% extends "base.html" %} + +{% block title %}Hasil Prediksi{% endblock %} + +{% block content %} +
+

Hasil Prediksi Gambar Tomat

+

Berikut adalah hasil analisis dari gambar yang telah Anda unggah:

+
+ + {% if img_path %} +
+

Detail Prediksi

+
+
+ + + + + + + + + + + + + + + + + + + +
+
Gambar
+ 		+
Tanggal
+ 		+
Waktu
+ 		+
Prediksi
+ 		+
Tingkat Akurasi
+
+ Uploaded Image + {{ data_date }}{{ data_time }}{{ predicted_class }}{{ confidence }}%
+
+
+
+
+ Unggah Gambar Baru +
+ {% else %} + + {% endif %} +
+{% endblock %} diff --git a/templates/upload.html b/templates/upload.html new file mode 100644 index 0000000..aeeab6a --- /dev/null +++ b/templates/upload.html @@ -0,0 +1,130 @@ +{% extends "base.html" %} + +{% block title %}Ambil Gambar Tomat{% endblock %} + +{% block content %} +
+
+ {% if error %} + + {% endif %} +
+
+

Ambil Gambar Tomat Anda

+

Pastikan kamera Anda menghadap ke tomat yang akan diprediksi atau unggah gambar tomat dari perangkat Anda!

+
+ + +
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+ +
+ +
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+ + +
+
+
+
+ + +
+ +
+
+
+
+ + +{% endblock %}