RANCANG BANGUN APLIKASI PENDETEKSI TINGKAT KEKERINGAN PADA BIJI KAKAO BERBASIS ANDROID
DOI:
https://doi.org/10.59819/jmti.v15i2.5127Keywords:
Android Application, Drought Detection, Cocoa Beans, Machine Learning, Tensorflow LiteAbstract
The cocoa industry faces challenges in ensuring the quality of cocoa beans, especially in detecting the level of dryness that affects the taste and quality of the final product. This study aims to design and develop an Android-based application that can detect the level of dryness of cocoa beans using machine learning technology, specifically Convolutional Neural Network (CNN) implemented with TensorFlow Lite. This application aims to provide a practical and efficient solution for farmers, especially in remote areas, using easily accessible Android devices. The CNN model was trained using a dataset of cocoa bean images with three categories of dryness: Wet, Half Dry, and Dry. The application was tested on 30 respondents consisting of farmers and cocoa bean processors to assess detection accuracy and ease of use. The test results showed that the application was able to detect the level of dryness of cocoa beans with adequate accuracy and appropriate detection speed on Android devices with low specifications. Although this application shows significant potential, several challenges remain, especially related to optimizing detection in poor lighting conditions. This research contributes to the use of mobile technology and machine learning to improve the quality of agricultural products, as well as opening up opportunities for further development in digital-based agricultural systems.
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Ahlidin, M., Asmi Rahma, M., Amalia Putri, R., Saputra Nurjaya, R., Ashar, M., Zulfah, A., Besse Poleuleng, A. (2024). Design, Construction and Evaluation Smart Dryer Cocoa Bean Portable: IoT Sensors and Automatic Control for Cocoa Bean Quality. PROPER : Jurnal Penelitian Pertanian Terapan, 2(2), 114–118. https://doi.org/10.61119/PRP.V2I2.509
Almusaed, A., & Yitmen, I. (2023). Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins. Sustainability 2023, Vol. 15, Page 4955, 15(6), 4955. https://doi.org/10.3390/SU15064955
Farhana, R., Dwitawati, I., Putu, L., Noviana, R., Kom, S., Pd, S., Kom, M., Putu, I., & Bawantara, Y. (2023). Penerapan Prinsip Tata Kelola Teknologi Informasi Pada Himpunan Mahasiswa Teknologi Informasi Uin Ar Raniry Banda Aceh. Jurnal Manajemen Dan Teknologi Informasi, 13(2), 95–103. https://doi.org/10.59819/JMTI.V13I2.2998
Gede Ariyoga Atmaja, I., & Persada Sembiring, J. (2024). Sistem Pengering Biji Kakao dengan Menggunakan Metode Fuzzy Logic. Electrician : Jurnal Rekayasa Dan Teknologi Elektro, 18(1), 9–17. https://doi.org/10.23960/ELC.V18N1.2551
Irmayani, I., Kusnady, T., & Mustawakkal. (2020). Strategi Pemasaran Cengkeh (Syzygium Aromaticum) Di Desa Langda Kecamatan Buntu Batu, Kabupaten Enrekang. Jurnal AGROSAINS Dan TEKNOLOGI, 5(2), 109–122.
Khan, S., Akram, A., & Usman, N. (2020). Real Time Automatic Attendance System for Face Recognition Using Face API and OpenCV. Wireless Personal Communications, 113(1), 469–480. https://doi.org/10.1007/S11277-020-07224-2/METRICS
Khoidir, S. I. (2023). Karakteristik Fisik, Kimia dan Sensoris Biji Kakao Criollo, Forastero dan Trinitario: Review. Journal of Comprehensive Science (JCS), 2(3), 764. https://doi.org/10.59188/JCS.V2I3.271
Masnur, & Alam, S. (2024). Web Server Based Electrical Control System Analysis for Smart Buildings. Advance Sustainable Science Engineering and Technology, 6(4), 02404022–02404022. https://doi.org/10.26877/ASSET.V6I4.1120
Masnur, M., Alam, S., & Ihsar, M. (2022). Aplikasi Sistem Informasi Geografis (SIG) Pemetaan Lahan Pertanian dan Komoditas Hasil Panen Di Kabupaten Sidrap Berbasis Web. Jurnal Sintaks Logika, 2(1), 229–235. https://doi.org/10.31850/JSILOG.V2I1.1322
Masnur, M., Alam, S., Zainal, M., & Mahendra, J. (2023). Aplikasi Menentukan Lahan Petani Desa Soro – Sulawesi Selatan Menggunakan Google Maps Api. Device, 13(1), 112–117. https://doi.org/10.32699/DEVICE.V13I1.4527
Masnur, M., & Asra, A. (2021). Sistem Informasi E-Farming Berbasis Web Di Kabupaten Pinrang. Jurnal Sintaks Logika, 1(3), 166–171. https://doi.org/10.31850/JSILOG.V1I3.1111
Rachmatullah, D., Nuriza Putri, D., Herianto, F., Biji Kakao, K. (2021). Karakteristik Biji Kakao (Theobroma Cacao L.) Hasil Fermentasi Dengan Ukuran Wadah Berbeda. Viabel: Jurnal Ilmiah Ilmu-Ilmu Pertanian, 15(1), 32–44. https://doi.org/10.35457/VIABEL.V15I1.1409
Rai, N., Kesuma, W., Brahupadhya Subiksa, G., Komang, I., & Wirata, A. (2025). Pengembangan Sistem Informasi Gym Spot Berbasis Web Sebagai Platform Informasi Dan Promosi Gym Di Wilayah Provinsi Bali. Jurnal Manajemen Dan Teknologi Informasi, 15(1), 20–28. https://doi.org/10.59819/JMTI.V15I1.4657
Sirait, J., Prabowo, S., Rohmah, M., & Rahmadi, D. A. (2021). Teknologi Mengering Hasil Pertanian Guna Mempertahankan Masa Simpan. Indonesian Journal of Industrial Research, 15(2), 428–437. https://doi.org/10.26578/JRTI.V15I2.7221
Widiantara, W., Megayasa, G. P., Putu, L., & Noviana, R. (2024). Rancang Bangun Sistem Continuous Integration (Ci) Dan Continuous Delivery (Cd) Menggunakan Jenkins Pada Aplikasi Berbasis Web. Jurnal Manajemen Dan Teknologi Informasi, 14(1), 37–40. https://doi.org/10.59819/JMTI.V14I1.3678
Mutianniza, S. Z., & Suwardoyo, U. (2023). Aplikasi Kamera Cerdas Untuk Deteksi Kendaraan Menggunakan Library Tensorflow. Jurnal Sintaks Logika, 3(3), 61–68. https://doi.org/10.31850/jsilog.v3i3.2589.
Bulandari, S. (2019). Pengaruh Produksi Kakao Terhadap Pertumbuhan Ekonomi di Kabupaten Kolaka Utara. Fakultas Ekonomi dan Bisnis Islam Universitas Islam Negeri Alauddin Makassar, juli, 1–85.
Rachmatullah, D., Putri, D. N., Fiki Herianto, & Harini, N. (2021). Karakteristik Biji Kakao (Theobroma Cacao L.) Hasil Fermentasi Dengan Ukuran Wadah Berbeda. VIABEL: Jurnal Ilmiah Ilmu-Ilmu Pertanian, 15(1), 32–44. https://doi.org/10.35457/viabel.v15i1.1409.
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