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All Journal JURNAL ECONOMIA JURNAL AKUNTANSI DAN AUDITING Krisna: Kumpulan Riset Akuntansi Semantik Manajemen Analisa Journal of Accounting and Investment Jurnal Dinamika Ekonomi dan Bisnis SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS BBM (Buletin Bisnis dan Manajemen) Journal of Dedicators Community International Journal of Supply Chain Management Jurnal Ilmu Manajemen dan Akuntansi Terapan FINANCIAL : JURNAL AKUNTANSI International Journal of Zakat (IJAZ) Jurnal Ilmiah ASET BULETIN BISNIS & MANAJEMEN (BBM) Jurnal Rekognisi Akuntansi (JRA) Analisa: Journal of Social Science and Religion International Journal of Computer Technology and Science eJEBA
Aida Nahar
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Transportation Other

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Journal : International Journal of Computer Technology and Science

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Design and Application of PLC-Based Salinocontrol Machine Integrated with IoT for Milkfish Ponds in Ujung Watu Village, Jepara Ahmad Faidlon; Aida Nahar; Anna Widiastuti; Haris Fujiari; Riyan Agus Prasetiyo
International Journal of Computer Technology and Science Vol. 2 No. 3 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i3.284

Abstract

Milkfish farming in coastal ponds of Ujung Watu Village, Jepara, is highly influenced by the stability of water salinity levels. Significant fluctuations in salinity can interfere with the growth and health of fish, so an adaptive control system is needed. Research methods include field data collection, hardware and software design, and system testing in an active pond for 14 days (23-hour sampling), where data is extracted for 23 hours. The system uses a salinity sensor to detect water conditions, PLC to automatically control the brackish water pump, while wireless remote control uses IoT, in addition to controliing, IoT to send data to the Android-based monitoring platform. The test results show that this machine is able to maintain salinity levels within the optimal range of 10000-30000 ppm, and provide remote monitoring convenience to pond farmers. The monitoring system serves as a predictive for manual wireless control of electric pumps (IoT), while automatic control is controlled by PLC.
Co-Authors A. Khoirul Anam A. Khoirul Anam Ahmad Faidlon Alfiatur Rohmaniyah Ali Sofwan Ambar Sari Hadiyanti Aminnudin, Moch - Ana Ivatul Khoni’ah Anis Chariri Anna Widiastuti Anna Widiastuti Assaidi, Sa'dullah Auliyak, Ishar Dwi Santoso Elsya Ajza Dewi Erlinda Dyah Evisa Haris Fujiari Ichwan Marisan, Ichwan Ifna Aisyatun Novalia Ishar Auliyak Jatmiko Wahyu Prabowo, Tri Khoirotullatifah, Nur laila Kiki Wahyuni Laellatus Sarifah Linda Selfia Saputri Maunatun Zulfa Miftah Arifin Muhammad Azmi Fatkhurrizqi Muhammad Ridho Mutamimah Mutamimah Nur Oktavia Andriyani Nurul Fatikhatul Khusna Octaviani, Alda Riyan Agus Prasetiyo Siti Aliyah Sri Agustina Basuki Subadriyah, Subadriyah Suhartono . Weni Purwanti