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All Journal Jurnal Fisika Unand JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Journal of Science and Applicative Technology Indonesian Physical Review Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Journal of Governance and Local Politics (JGLP) Community Empowerment Insight Management Journal Journal of Community Development Journal Of Human And Education (JAHE) Jambura Journal Civic Education Mamangan Social Science Journal ANOA: Jurnal Pengabdian Masyarakat Fakultas Teknik
Eko Satria
Jurusan Fisika Universitas Andalas
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Journal : Journal of Science and Applicative Technology

 1 
PENGEMBANGAN SISTEM TERINTEGRASI BERBASIS IOT (INTERNET OF THINGS) UNTUK MONITORING DAN KONTROL KUALITAS AIR PADA BUDIDAYA TAMBAK UDANG DARATAN Sari, Titin Ervina; Satria, Eko; Rajak, Abdul
Journal of Science and Applicative Technology Vol. 8 No. 1 (2024): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i1.1698

Abstract

Water quality is very important for the sustainability of a shrimp farm, starting from the quantity and quality of shrimp harvested is very influential on the good quality of the pond water. The water quality in question is parameters such as water turbidity, a lot or clean of dirt in the pool, a pH value that suits your needs and ammonia content in the pond which is usually produced from shrimp manure. This research designed a water quality monitoring and control tool in shrimp ponds that is integrated automatically through an IoT-based system (Internet of Things) using the thingspeak application as a server and telegram bots as controls. Based on the results of tests that have been carried out, the tool has been able to determine the quality of water correctly. The error percentage was 0.01% for turbidity sensors, 0.05% for TDS sensors, 0.01% for pH sensors and 0.12% for ammonia gas sensors. Based on the results of direct data collection on shrimp ponds for 6 hours, the average value of water turbidity was 3.06 NTU, the lowest was 1.07 NTU and the highest was 5.99 NTU, for the average value of TDS content was 170.98 ppm, 150.00 ppm was the lowest and 204.12 ppm was the highest, for the average pH content was 7.80, the lowest was 7.50 and the highest was 8.74, and the average value of ammonia content was 0.004 ppm, 0.0007 ppm is the lowest and 0.0113 is the highest.
Monitoring pH And Turbidity of Crayfish Pond Using Website and Automation Controlling Using Sugeno Fuzzy Logic Method Gamilang, Ading Atma; Febrina, Melany; Satria, Eko
Journal of Science and Applicative Technology Vol. 9 No. 2 (2025): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v9i2.2031

Abstract

Crayfish, particularly Cherax Quadricarinatus, hold significant potential for aquaculture due to their high market value and substantial demand both domestically and internationally. The growth of freshwater crayfish is heavily influenced by the pond environment. Several environmental factors affect this growth, including water turbidity, pH, dissolved oxygen, temperature, and ammonia levels. This study focuses on monitoring water turbidity and pH using DFRobot Tubidity SEN0189 and PH-4502C sensors, and displaying the results on a monitoring website. Additionally, a pump filter and aerator are employed as actuators for control. The control method used is Sugeno Fuzzy Logic, which makes control system decisions when sensors detect pH and turbidity values outside the optimal range for crayfish ponds: 6-8 for pH and 5-25 NTU for turbidity. The Sugeno Fuzzy Logic method used has inputs based on sensor readings, each with three membership degrees; for pH, Acid (0-6.5), Neutral (6-8), and Base (7.5-14); and for turbidity, Clear (0-5 NTU), Turbid (4-15 NTU), and Very Turbid (14-25 NTU). The outputs control the pump filter and aerator, with two membership degrees: Off, On, and On-Extended. The sensors have successfully measured pond turbidity with an error of 4.76% and pH with an error of 0.9%. The control system has been successfully implemented, with the pump filter and aerator activating in response to measured conditions in the crayfish pond.
Co-Authors Abda Abda Abdul Rahim Adilani, La Adwian, Angga Agus Suroso Andy Arya Maulana Wijaya Ansar Suherman, Ansar Anwar Sadat Asiri, La Eliyana, Ajeng Febrina, Melany Gamilang, Ading Atma Gurusi, La Hasri, Hasiruddin Hasri, Hasirudin Herianto Herianto Herman Lawelai Ikah N. P. Permanasari Indra Pardede Irmaidayati, Irmaidayati Jurumai, La Pande Kahar, Amrun Karim, La Ode Muhammad Kesuma, Weni Ayu Puja Kurnianto, Dandi L.M. Azhar Sa'ban Mansyah, Muh Sutri mashendra, Mashendra Maulana, Harry Fajar Muh Sutri Mansyah Mulyono, Hardi Muthmainna, Waode Novita Ayu Nisa, Fias Nurul Nopiana Mozin Novianti, Wa Ode Nur, AL hiday Nurcahyo, Edy Nurdin Nurdin Pohan, Azrul Sulaiman Karim Prayogo, Priyan Putra, L. M. Ricard Zeldi Rajak, Abdul Safira, Nabila Safrin Salam Samsul Samsul Samsul SARI, ANA NOVITA Sari, Titin Ervina Sa’ban, L.M Azhar Serah, Yayan Supriyanto, Hadi Sya’ban, La Ode Muhammad Azhar Waru, Ahmad Zein L Widiyani, Agustina Wildian Wildian Yudarsat, Andre Putra Zidan, Alwan Zubair Zubair, Zubair