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All Journal SPEKTRAL : Journal of Communications, Antennas and Propagation
Agus Wagyana
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Pengembangan Smart Fish Feeding Berbasis Internet of Things pada Budi Daya Ikan Hias Algifri Prayudha Diwiryo; Agus Wagyana; Junianto, Purbo Dwi; Muhamad Reza Febrian
Spektral Vol. 6 No. 1 (2025): April 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i1.7535

Abstract

Inappropriate feeding and undetected pond leaks are two major problems in ornamental fish farming that can reduce productivity and operational efficiency. This research aims to develop an Internet of Things (IoT)-based Smart Fish Feeding system capable of automating feeding and monitoring pond conditions in real-time. The system consists of an HC-SR04 ultrasonic sensor to detect feed amounts, a JSN-SR04T sensor to measure water levels, and an ESP32-Cam for visual monitoring. This device is also equipped with a Solenoid Water Valve to automatically regulate water levels and can be controlled via an Android application connected to the Firebase service. This research used a qualitative method with an observational approach and rapid prototyping to design and test the prototype directly at the cultivation site. The test results showed that the system was able to carry out feeding schedules accurately and consistently, and produced an average feed weight per second of 16.38 grams. The developed system has been proven to facilitate fish maintenance and pond management, and has the potential to increase efficiency and responsiveness in ornamental fish farming operations.
Implementasi Dan Pengujian Sistem Otomatisasi Pengomposan Pupuk Kompos Berbasis Internet Of Things Mohammad Aprizal; Agus Wagyana
Spektral Vol. 6 No. 2 (2025): Oktober 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v6i2.7877

Abstract

The conventional composting process often experiences instability in environmental parameters such as temperature, humidity, and pH, resulting in longer decomposition time and inconsistent compost quality. This study aims to design and develop an Internet of Things (IoT)-based automatic composter system capable of monitoring and controlling critical parameters during the composting process in real time. The system utilizes temperature, humidity, and pH sensors integrated with a microcontroller to automatically activate the heating element and fan according to the required conditions. The process data are transmitted to a website, enabling users to perform remote monitoring. Experimental results show that the system operates stably with sensor accuracy within acceptable tolerance limits, with an error of 3.00% for temperature, 7.88% for pH, and a consistent linear relationship in soil moisture measurements. With the maintained stability of these parameters, the composting process proceeds more quickly and produces more mature and uniform compost. This system offers a practical solution for organic waste management at the household scale.
Co-Authors Algifri Prayudha Diwiryo Junianto, Purbo Dwi Mohammad Aprizal Muhamad Reza Febrian