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All Journal Teknika Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Inotera Jurnal Vokasi JINAV: Journal of Information and Visualization Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Tika jeti Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) TECHSI - Jurnal Teknik Informatika DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Jurnal Malikussaleh Mengabdi Gameology and Multimedia Expert Nawadeepa: Jurnal Pengabdian Masyarakat Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Nunsina, Nunsina
Universitas Malikussaleh
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Journal : journal of applied informatics and computing

 1 
Design of an Internet of Things (IoT)-Based Fish Feeder System Using an Android Application Ariyandi, Zulham; Taufiq, Taufiq; Nunsina, Nunsina
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10072

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.
Clustering of Food Security Levels in North Aceh Using K-Medoids Tarisha Zhafira; Bustami Bustami; Nunsina Nunsina
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12881

Abstract

Food security is essential for ensuring food availability, accessibility, and utilization. This study applies a multidimensional indicator framework covering social, economic, and infrastructure aspects to cluster regions in North Aceh Regency, addressing limitations of previous studies that primarily focus on agricultural production indicators and lack policy-oriented analysis. The analysis uses 2023 data from 27 sub-districts at the village level, comprising 852 villages. The indicators include: (1) the ratio of agricultural land area to total population, (2) the ratio of food supply facilities and infrastructure to households, (3) the ratio of population with the lowest welfare status to total population, (4) the proportion of villages without adequate transportation access via land, water, or air, (5) the ratio of households without access to clean water, and (6) the ratio of population per health worker relative to population density. Data processing involves preprocessing, normalization, and K-Medoids clustering, evaluated using the Davies–Bouldin Index (DBI) and Silhouette Coefficient (SC). The results identify six clusters: highly food insecure (C1) with 63 villages, food insecure (C2) with 92 villages, moderately food insecure (C3) with 179 villages, moderately food secure (C4) with 42 villages, food secure (C5) with 49 villages, and highly food secure (C6) with 427 villages. Most villages fall within moderately food insecure to highly food secure categories, indicating disparities in food security distribution. The DBI value of 3.085 indicates moderate cluster compactness, while the SC value of 17.75% suggests weak separation between clusters. These findings provide policy recommendations for targeted and equitable food security interventions.
Co-Authors Ade Nahya Zahara Andry Maulana Akbar Annisa Fitria Aqiilah Cahya Ningrum Ariyandi, Zulham Badruttamam Badruttamam Bustami Bustami Cut Fadhilah Cut Fadhilah Dahlan Abdullah Epa Yanti Eva Darnila Eva Darnila Eva Darnila Fadhilah, Cut Fadhlilah, Cut Fatimah Zuhra Fatimah Zuhra Haniful Fikri Hasibuan, Fadilah Suryani Ichsan Kulbahri, Kulbahri Mahara, Sabda Maysura Muhammad Muaz Munauwar Mukti Qamal Munawwar Khalil, Munawwar Mustaqim Mutasar Nazimah Nazimah Nilahayati Nurdin Nurdin Putri Raihatul Jannah Rahma Fitria, Rahma Rahmad Rahmad Razi, Ar Rifkial Iqwal Rini Meiyanti Rizal Tjut Adek Rosma Siregar Safrizal Safrizal Tarisha Zhafira Taufiq Taufiq Viki, Zakial Wahyu Fuadi Walad Hidayat Zahidi Pratama Zahratul Fitri Zahratul Fitri, Zahratul Zakial Viki Zara Yunizar Zuliani Zuliani