Design of an Internet of Things (IoT)-Based Fish Feeder System Using an Android Application

Authors

  • Zulham Ariyandi Universitas Malikussaleh
  • Taufiq Taufiq Universitas Malikussaleh
  • Nunsina Nunsina Universitas Malikussaleh

DOI:

https://doi.org/10.30871/jaic.v9i4.10072

Keywords:

Internet of Things (IoT), automatic fish feeder, ESP32, Firebase, Android application

Abstract

Fish farming plays a crucial role in aquaculture, where feed management is a key factor affecting productivity and operational costs. This research presents the design and implementation of an Internet of Things (IoT)-based automatic fish feeder system, integrated with a custom Android application. The system uses an ESP32 microcontroller to control a load cell sensor for accurate feed weighing, an ultrasonic sensor to monitor feed availability, servo motors for feed release mechanisms, and a DC motor for feed dispersion. Firebase Realtime Database serves as the data communication medium between the hardware and mobile application, enabling real-time control and monitoring. A rule-based control logic is implemented to execute scheduled or manual feeding processes. Experimental results show a feed weight accuracy of ±5 grams, with feeding operations completed within 1.5 minutes and an average throw distance of 287.8 cm. The system supports automatic alerts, scheduling, feed history logging, and remote access via the application. Compared to conventional manual methods, the system reduces feed waste, increases portion accuracy, and decreases feeding time by over 75%. These features demonstrate the system’s capability to enhance feeding efficiency, reduce labor dependency, and support sustainable and scalable fish farming practices through automation and real-time monitoring.

Downloads

Download data is not yet available.

References

[1] M. I. Nadhir, W. Hayuhardhika, N. Putra, and E. Setiawan, “Pengembangan Sistem Otomatisasi Pemberian Pakan Ikan Nila Berbasis Internet of Things (Studi Kasus:Kampung Sawah Baru),” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 1, no. 1, 2017, [Online]. Available: http://j-ptiik.ub.ac.id

[2] M. Ula, R. Tjut Adek, and Muklish, “Towards The Secure Internet of Things: Threats and Solution,” Proc. Malikussaleh Int. Conf. Multidiscip. Stud., vol. 3, pp. 66–78, Dec. 2022, doi: 10.29103/micoms.v3i.49.

[3] A. Selay et al., “Internet of Things,” Karimah Tauhid, vol. 1, no. 2963–590X, pp. 861–862, 2022.

[4] F. Wahyuni Sabran and E. Zalfiana Rusfian, “Penggunaan Internet of Things pada eFishery untuk keberlanjutan Akuakultur di Indonesia,” J. Soc. Sci. Res., vol. 3, no. 2, pp. 8142–8156, 2023.

[5] N. Busaeri, R. Nurdiansyah, and A. Rahman, “Penerapan Teknologi Penebar Pakan Ikan Otomatis Berbasis IoT di Dusun Citengah Kecamatan Cihaurbeuti,” BERNAS J. Pengabdi. Kpd. Masy., vol. 4, no. 2, pp. 1490–1498, 2023, doi: 10.31949/jb.v4i2.4725.

[6] M. Nizam, H. Yuana, and Z. Wulansari, “Mikrokontroller ESP32 Sebagai Alat Monitoring Pintu Berbasis Web,” J. Mhs. Tek. Inform., vol. 6, no. 2, 2022.

[7] M. H. Wiwi and D. Prasetyo Isnandar, “Prototipe Alat Pemberi Pakan Ikan Berbasis Internet of Things,” J. Ilm. Teknol. Inf. Asia, vol. 18, no. 02, 2024.

[8] A. Tahir and N. Nurdjan, “Konstruksi Mesin Pakan Ikan Otomatis,” J. Vokasi Tek. Mesin dan Fabrikasi Logam, vol. 2, no. 1, pp. 54–63, 2023.

[9] E. M. Indrawati, B. Suprianto, and U. T. Kartika, “Pemberi Pakan Ikan Otomatis berbasis IoT dengan FLC Berdasarkan Kualitas Air ( Suhu , PH , Kekeruhan ),” vol. 13, no. 3, pp. 383–394, 2024.

[10] H. Chaerisma, F. Teknik, T. Informatika, and U. Pamulang, “Prototype Sistem Monitoring dan Pemberi Pakan Ikan Hias Berbasis Wemos D1 Mini,” vol. 2, no. 1, pp. 101–112, 2023.

[11] E. H. Tiarto, S. Mansur, and A. Kinasih, “Rancang Bangun Purwarupa Mekanik Alat Pemberi Pakan Ikan Otomatis,” Sebatik, vol. 28, no. 1, pp. 206–212, 2024, doi: 10.46984/sebatik.v28i1.2458.

[12] A. M. Putra and A. B. Pulungan, “Alat Pemberian Pakan Ikan Otomatis,” J. Tek. Elektro dan Vokasional, vol. 06, pp. 113–121, 2020, [Online]. Available: http://ejournal.unp.ac.id/index.php/jtev/index

[13] Hayatunnufus and D. Alita, “Sistem Cerdas Pemberi Pakan Ikan Secara Otomatis,” J. Teknol. dan Sist. Tertanam, vol. 01, no. 01, pp. 11–16, 2020.

[14] D. Permana and S. Doni, “Alat Pakan Ikan Aquarium Otomatis Berbasis Arduino UNO,” J. Ilm. Mhs. Kendali dan List., vol. 2, no. 2, pp. 2723–598, 2020, doi: 10.33365/jimel.v1i1.

[15] A. Supratman, B. Indarmawan Nugroho, and R. Dwi Kurniawan, “Penerapan Metode Rule-Based System untuk Menentukan Jenis Tanaman Pertanian Berdasarkan Ketinggian dan Curah Hujan,” Innov. J. Soc. Sci. Res., vol. 4, pp. 7879–7890, 2024.

Downloads

Published

2025-08-06

How to Cite

[1]
Z. Ariyandi, T. Taufiq, and N. Nunsina, “Design of an Internet of Things (IoT)-Based Fish Feeder System Using an Android Application”, JAIC, vol. 9, no. 4, pp. 1593–1601, Aug. 2025.

Issue

Section

Articles

Similar Articles

<< < 20 21 22 

You may also start an advanced similarity search for this article.