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Application of Fuzzy Control and IoT Monitoring on Small Scale Biofermentor for Making Virgin Coconut Oil Ayusari, Ayusari; Abdul, Waris; Muhammad Tahir, Sapsal
Salaga Journal Volume 02, No. 2, December 2024
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v2i2.1776

Abstract

Virgin Coconut Oil is a pure coconut oil that can be obtained from the extract of fresh and old coconut meat. This study aimed to evaluate the performance of a biofermentor integrated with a fuzzy logic control system and IoT for VCO production. The research involved designing control rules to regulate temperature, testing the IoT system for real-time monitoring, and assessing the biofermentor's performance. The parameters observed were control system response, temperature, yield and moisture content.  Results showed that the fuzzy control system effectively maintained temperature stability, resulting in a higher yield (39.65%) and lower moisture content (0.08%) compared to conventional methods. In addition, the fuzzy control rules are able to regulate the power so that the temperature overshoot is quite small (1%), the settling time is relatively short (9 minutes), the temperature is stable, and the steady state error is 1.02% (with in tolerance limits).
Temperature and Humidity Control in a Small-Scale Greenhouse in a Tropical Climate Aditya A. Jamaluddin, Tisha; Sitti Nur, Faridah; Muhammad Tahir, Sapsal; Dani Achmad, Andini; Reskyanto , Ari
Salaga Journal Volume 03, No. 1, June 2025
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v3i1.1815

Abstract

Global climate change has increased fluctuations in temperature and humidity, threatening the sustainability of the agricultural sector. This research aimed to develop an Internet of Things (IoT)-based microclimate control system for greenhouses using Arduino and the Thingspeak platform. The system was designed as a closed-loop using an ESP-32 as the control center, a DHT-22 sensor for data acquisition, and Solid-State Relay (SSR) actuators to control the blower, heater, and misting pump. Testing was conducted in a greenhouse with an area of 3 m² and a height of 2.3 meters. The results showed that the system could maintain a temperature of 27–36°C (external deviation: 29–48°C) and humidity of 85–90% (external deviation: 47–100%) with low overshoot, namely 1.18% (temperature) and 1.49% (humidity), and a settling time of under 4 minutes. The steady-state error was within the tolerance limit (maximum 5%). However, the system experienced a data loss of 26.04% and an average transmission delay of 16.5 seconds due to network instability at the test location. Nevertheless, the system proved effective in maintaining an optimal microclimate for small-scale plant growth.