TEPIAN
Vol. 7 No. 2 (2026): June 2026

IoT-Enabled Monitoring and Methane Energy Forecasting in Tofu Waste Biogas Systems for Electricity Generation

Fitri Oktafiani (Oil and Gas Instrumentation and Electronics Engineering, Sekolah Tinggi Teknologi Migas)
Sigit Kusuma Wijaya (Oil and Gas Instrumentation and Electronics Engineering, Sekolah Tinggi Teknologi Migas)
Al Mutaqim (Oil and Gas Instrumentation and Electronics Engineering, Sekolah Tinggi Teknologi Migas)
Ferdi Bagus Purnomo (Oil and Gas Instrumentation and Electronics Engineering, Sekolah Tinggi Teknologi Migas)
Hamsir Hamsir (Oil and Gas Instrumentation and Electronics Engineering, Sekolah Tinggi Teknologi Migas)
Riza Hadi Saputra (Electrical Engineering, Institut Teknologi Kalimantan)



Article Info

Publish Date
01 Jun 2026

Abstract

This study presents the development of an Internet of Things based monitoring system and methane energy forecasting for biogas production from tofu wastewater in Somber, Balikpapan. A 1000 L anaerobic biodigester was installed at a home scale tofu industry to process liquid tofu waste through anaerobic fermentation. The monitoring system utilized three ESP32 microcontrollers integrated with MQ-4 methane sensors, DHT11 temperature–humidity sensors, BMP180 pressure sensors, and ultrasonic level sensors. Data were transmitted every 8–10 seconds to Google Spreadsheet via Wi-Fi for real time monitoring. Observations were conducted over a 21-day fermentation period. The results show that methane concentration increased from approximately 4,720–4,810 ppm on day 13 to 5,000–5,050 ppm on day 21. Humidity remained relatively stable between 93.6% and 94.2%, while temperature ranged from 31.5°C to 42.6°C. The average methane quantity was estimated at 1.42 × 10⁷ mol, corresponding to a theoretical energy potential of approximately 3.17 × 10⁶ kWh. These results indicate strong potential for small scale biogas based power generation.

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Journal Info

Abbrev

tepian

Publisher

Subject

Computer Science & IT

Description

The purpose of TEPIAN is to publish original research studies directly relevant to computer science. TEPIAN encompasses the full spectrum of information technology and computer science, including information system, hardware technology, intelligent system, and multimedia applications. TEPIAN ...