Published: 2025-01-01

Penerapan Sistem IoT Berbasis Energi Surya untuk Pemberian Pakan Otomatis dan Pemantauan Kualitas Air pada Budidaya Udang Vaname

DOI: 10.35870/jtik.v9i1.3346

Safrizal Razali, Aulia Rahman, Adrian Damora

Abstract

Vannamei shrimp (Litopenaeus vannamei) merupakan salah satu komoditas utama akuakultur nnasional di Indonesia dengan potensi?ekonomi yang besar. Nonetheless, obstacles like poor water quality and inadequate feed practices prevent sustainable aquaculture. This study aims to design an automatic feeding system for the Internet of Things (IoT) equipped for real-time monitoring of water pH and temperature, powered by solar energy. The system consists of a pH sensor (PH-4502C), a temperature sensor (DS18B20), an ESP32 microcontroller and a Blynk application, which serves as the main interface for the system. The testing was done to prove that this whole system works fine with 2 nos of 100Wp monocrystalline solar panels with 12V 100Ah batter. The system successfully enhances farm operational efficiency, boosts energy sustainability, and offers a novel solution for vannamei shrimp farm management.

Keywords

IoT ; Vannamei Shrimp ; Automatic Feeding ; Solar Energy ; Water Quality

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Issue Cover

Downloads

Article Metrics

If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).

Share:
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 1 (2025)

  • Section: Computer & Communication Science

  • Published: January 1, 2025

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers

Similar Articles

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

Most read articles by the same author(s)