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All Journal Jurnal Penyuluhan Attoriolong Jurnal Ilmu dan Industri Peternakan Al-Risalah : Jurnal Imu Syariah dan Hukum JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) JURNAL IT: Media Infromasi STMIK Handayani Makassar Jurnal Ilmu Kesehatan Hasanuddin Journal of Animal Science (HAJAS) Jurnal sains dan teknologi industri peternakan Jurnal Peternakan Lokal Review of Multidisciplinary Education, Culture and Pedagogy (ROMEO) Studi Akuntansi, Keuangan, dan Manajemen Jurnal Karajata Engineering Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M)
Muhammad Risal, Muhammad
Jurusan Budidaya Perikanan STIPER Yapim Maros
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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Integration of Multi-Modal Sensors in Aquaponic Farming for IoT-Ready Based on ESP32 and Raspberry Pi Hybrid Platform Risal, Muhammad; Wahyuningsih, Pujianti; Haerani, Nining; Mikolas, Muhammad; Lewa, Muhammad Iqbal
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10644

Abstract

This study aims to design and implement a smart agriculture system that integrates multi-modal sensors with an aquaponic farming platform, utilizing Raspberry Pi and ESP32 microcontrollers. The integration approach adopts embedded system-based control to connect and coordinate all multi-modal sensor components within the smart aquaponic environment. The primary function of the multi-modal sensors is to acquire comprehensive environmental and operational data from the aquaponic system through instrumentation-based measurement techniques. These data are intended to be further integrated with Internet of Things (IoT) technology using ESP32 and Raspberry Pi as control units. In this study, the integration of the Raspberry Pi and ESP32 platforms demonstrates superior performance compared to a single platform, as it combines a microcontroller capable of reading analog sensor data and transmitting it to the Raspberry Pi, which subsequently functions as the central data processing unit. Experimental results confirm that all multi-modal sensor devices operate reliably when interfaced with the ESP32 and Raspberry Pi, producing accurate data streams that can be utilized in future implementations of IoT-based control systems.
Co-Authors Alfiansyah, Wandi Andy Lukman Affandy Arianto, Doni Asnawi, Aslina Dagong, Muhammad Andi Ihsan Dariyatmo, Iin Mulyawati Dewa, Bayu Fitranda Fitriani, Ika Haddade, Abdul Wahid Haerani, nining Hamka Hamka, Hamka Harahap, Burhanuddin Hargiani, Fransisca Xaveria Hastang, Hastang Indrawirawan Indrawirawan Jasman Jasman Jayawarsa, A.A. Ketut karman karman Khasanah, Aulia Uswa Noor Lewa, Muhammad Iqbal M. Rasyid Ridha Malihu, La MARIA BINTANG Mikolas, Muhammad mirna, mirnawati Mirnawati Mirnawati Muh amin Muh. Amin Muhammad Amin Muhammad Danial MUNANDAR, AGUS HERLI Murtiningsih Murtiningsih Ramadhani, Mohammad Ramlawati, Ramlawati Ratna Ratna Rauhun, Siti Rusman, Rusni Fitri Y. Sabil, Syahriana Sali, Adrian Sohrah, Sitti Solly Aryza Syaf, Syafruddin Syahdar Baba Wahyuningsih, Pujianti WALI, ARI RISKI Yusuf, Akhmad Rifhiyan