Design and Implementation of a Smart Auto Feeder Fish System Based on Fish Age and Size Using Fuzzy Logic Method
Main Article Content
Abstract
Catfish farming plays a vital role in supporting food security and the economy in Indonesia. However, feed efficiency remains a major challenge as feed accounts for up to 40% of production costs. This study aims to design and implement a Smart Auto Feeder Fish system based on Fuzzy Sugeno logic to optimize feed distribution according to fish age and size. The system uses an ESP32 microcontroller, RTC DS3231, HX711 load cell, keypad, LCD, and three servo motors. The Sugeno fuzzy method determines feed quantity using linguistic inputs of age and size. Testing shows average feeding latency of 1.27 seconds (morning) and 1.73 seconds (afternoon), with feed accuracy reaching 98.12% and 97.47%, respectively. The system was tested in two ponds with 250 fish each. The pond with the system achieved a higher survival rate (75.60%) compared to the control pond (70.40%) and showed more linear growth patterns. The Smart Auto Feeder proves effective in improving feed efficiency, fish growth, and survival rates through automated and adaptive feeding.
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How to Cite
Sugiarto, K., Falah, J., Guanwan, G., & Yansyah, D. (2026). Design and Implementation of a Smart Auto Feeder Fish System Based on Fish Age and Size Using Fuzzy Logic Method. Journal of Telecommunication Electronics and Control Engineering (JTECE), 8(2), 59-67. https://doi.org/10.20895/jtece.v8i2.2076
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References
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[25]. Arisma, M. R., Lifwarda, L., & Dahlan, A. A. (2024). Design of a Microcontroller-Based Automatic Cat Feeding and Monitoring Device. Journal on Internet Engineering Technologies and Applications, 1(1), 1-7.
[2]. Efishery, “Tips & Trik Pemberian Pakan Ikan Lele Berdasarkan Umurnya,” Efishery.com, 2023. [Online]. Available: https://efishery.com/id/resources/pemberian-pakan-ikan-lele-berdasarkan-umur/
[3]. H. Hayatunnufus and D. Alita, “Sistem Cerdas Pemberi Pakan Ikan Secara Otomatis,” Jurnal Teknologi dan Sistem Tertanam, vol. 1, no. 1, p. 11, 2020, doi: 10.33365/jtst.v1i1.799.
[4]. R. Hossam, A. Heakl, and W. Gomaa, “Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding,” arXiv preprint, 2024. [Online]. Available: http://arxiv.org/abs/2409.08695
[5]. Kementrian Kelautan dan Perikanan, Produksi Perikanan Budidaya Pembenihan: Data Statistik Produksi Perikanan Budidaya Pembenihan, 2022.
[6]. Kementrian Kelautan dan Perikanan, Produksi Perikanan Budidaya Pembenihan: Data Statistik Produksi Perikanan Budidaya Pembenihan, 2023.
[7]. M. Makhrojan, “Analisis Usaha Budidaya Ikan Lele Dengan Pakan Alternative Maggot,” Jurnal Ekonomi: Journal of Economic, vol. 10, no. 2, pp. 142–149, 2019. [Online]. Available: https://ejurnal.esaunggul.ac.id/index.php/Eko/article/view/2870
[8]. M. N. Nizam, H. Yuana, and Z. Wulansari, “Mikrokontroler ESP32 Sebagai Alat Monitoring Pintu Berbasis Web,” JATI: Jurnal Mahasiswa Teknik Informatika, vol. 6, no. 2, pp. 767–772, 2022.
[9]. D. L. Rahakbauw, “Penerapan Logika Fuzzy Metode Sugeno Untuk Menentukan Jumlah Produksi Roti Berdasarkan Data Persediaan dan Jumlah Permintaan,” Barekeng: Jurnal Ilmu Matematika dan Terapan, vol. 9, no. 2, pp. 121–134, 2015.
[10]. Utami, A. R., Erlangga, M., & Sugiarto, K. (2024). Rancang Bangun Monitoring dan Pengendali Suhu, pH dan Kekeruhan Air pada Smart Akuarium. SPECTA Journal of Technology, 8(1), 69-82.
[11]. Sugiarto, K., Rivai, M., & Irfansyah, A. N. (2019, July). Control of livestock waste odors using gas sensors and fuzzy logic. In 2019 12th International Conference on Information & Communication Technology and System (ICTS) (pp. 81-86). IEEE.
[12]. Sugiarto, K., Adhisuwignjo, S., & Dewatama, D. (2020). Penerapan fuzzy logic control untuk sistem pengaturan kelembaban udara pada greenhouse. Jurnal Bumigora Information Technology (BITe), 2(2), 71-76.
[13]. Bachmid et al., “Modul RTC DS3231 dan Karakteristik Load Cell dalam Pengukuran Berat,” 2020. (Catatan: Format detail tidak tercantum lengkap dalam jurnal, sehingga disesuaikan dengan informasi yang ada.)
[14]. Nuha, K., Oktivasari, P., & Yatmadi, D. (2026). The Monitoring and Datalogging System for Suspended Sediment Concentration in a Trapezoidal Flume Using IoT and Fuzzy Logic. Journal of Telecommunication Electronics and Control Engineering (JTECE), 8(1). Retrieved from https://journal.ittelkom-pwt.ac.id/index.php/jtece/article/view/2034
[15]. Pratama, A. B., Maulana, Y., & Pujiharsono, H. (2024). Sistem Pengendali Suhu pada Kandang Ayam Broiler Berbasis Kendali PID. Journal of Telecommunication Electronics and Control Engineering (JTECE), 6(2), 117-124.
https://doi.org/10.20895/jtece.v6i2.1359
[16]. Lianawati, Y., Mahendra, C., Sugianto, G., Mendrofa, S., Setiani, A., & Baraga, B. (2024). Sistem Monitoring dan Controlling “Smart Waste” Berbasis Internet of Things Menggunakan Modul ESP 32. Journal of Telecommunication Electronics and Control Engineering (JTECE), 6(2), 163-175. https://doi.org/10.20895/jtece.v6i2.1400
[17]. Siagian, C., Nur Utomo, A. D., & Kresna A, I. (2024). Sistem Pemantauan Suhu, Kelembapan, Cahaya, dan pH Air pada Rumah Walet Berbasis Internet of Things. Journal of Telecommunication Electronics and Control Engineering (JTECE), 6(1), 1-12. https://doi.org/10.20895/jtece.v6i1.988
[18]. Fatkhurrozi, B., & Setiawan, H. (2024). Implementasi Logika Fuzzy pada Sistem Kendali Suhu Dan Kelembaban Udara Ruangan Pengering Biji Kopi Berbasis Mikrokontroller. Journal of Telecommunication Electronics and Control Engineering (JTECE), 6(1), 50-59. https://doi.org/10.20895/jtece.v6i1.1319
[19]. Premalatha, K., Maithili, P., & Nandhini, J. (2017). Smart automatic fish feeder. International Journal of Computer Sciences and Enginerring, 5(7).
[20]. Setiawan, I., Fauzi, R., & Abdullah, S. (2025). Merancang Bangun Sistem Pakan Otomatis Berbasis Intenet Of Things (Smart Feeder). Jurnal Informatika Utama, 3(1), 127-137.
[21]. Risma, P., Sianipar, A. B., Prasetyo, T., & Utami, P. N. (2025, May). Smart Fish Feeding Solutions for Aquaponic Farming: Load Cell and Real-Time Clock Integrated System Design. In Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024) (Vol. 261, p. 97). Springer Nature.
[22]. Sugandi, G., Gusman, D. O., Susilawati, H., & Wiharso, T. A. (2025). Design and Development of A Semi-Automatic Catfish Feeder Device Based on Arduino. Journal of Energy and Electrical Engineering, 6(2).
[23]. Amen, L., Bos, E., Climie, N., Deuitch, K., Lamothe, N., & Mitchinson, C. (2023). Designing and Testing a Smart Cat Feeder Prototype.
[24]. Harahap, R. K., Wibowo, E. P., Nur'ainingsih, D., Wijaya, A. K., & Anindya, R. S. C. (2022, October). Dogs feed smart system with food scales indicator IoT based. In 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) (pp. 1-7). IEEE.
[25]. Arisma, M. R., Lifwarda, L., & Dahlan, A. A. (2024). Design of a Microcontroller-Based Automatic Cat Feeding and Monitoring Device. Journal on Internet Engineering Technologies and Applications, 1(1), 1-7.