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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Prosiding Seminar Nasional Darmajaya Patria Artha Technological Journal Multitek Indonesia : Jurnal Ilmiah DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Manutech : Jurnal Teknologi Manufaktur Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal INOVTEKSeri Elektro Jurnal Pengabdian UNDIKMA Jurnal Riset Teknologi Pencegahan Pencemaran Industri Proceeding Applied Business and Engineering Conference TANJAK : Jurnal Pengabdian Kepada Masyarakat
Hikmatul Amri
Politeknik Negeri Bengkalis
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An Iot-Based Forest Fire Prediction System Using Fuzzy Logic Method Lianda, Jefri; Amri, Hikmatul; Adam, Adam; Custer, Johny; Fitriana, Dea
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 2 (2025): November
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2025.v16.no2.p158-167

Abstract

Forest and land fires represent a recurring environmental challenge in Indonesia, especially during the prolonged dry season. These incidents result in significant consequences, including the destruction of ecosystems, threats to human health, and considerable economic disruption. To address this problem, the present research focuses on the development of an Internet of Things (IoT)-based system designed to predict and monitor the risk of forest fires by implementing the Fuzzy Logic method. The prototype integrates several sensors, namely a DHT22 sensor for measuring temperature and humidity, an MQ-2 sensor for detecting gas and smoke concentrations, and a flame sensor for identifying the presence of fire. All sensors are connected to a NodeMCU ESP8266 microcontroller that serves as the core of data processing and wireless communication. The collected sensor data is evaluated using a Fuzzy Logic algorithm, which classifies the fire risk into three distinct levels: “Safe,” “Caution,” and “Hazardous.” Experimental testing demonstrates that the system responds effectively to fluctuations in temperature, humidity, smoke levels, and visible flame in real time, with alerts displayed through a web-based dashboard. The DHT22 sensor exhibits an average error rate between 4.8% and 5% for temperature readings and between 4.1% and 4.5% for humidity measurements. In addition, the flame sensor successfully detects fire sources at distances reaching 300 cm. The outcomes confirm that the system achieves a high degree of reliability and accuracy, thereby providing valuable support for early warning, strengthening preventive strategies, and assisting authorities in mitigating the severe impacts of forest and land fires.
Co-Authors Adam Adam Adam Adam Adam Adnan, Abubakar Agustiawan, Agustiawan Ardi, Marlius Aripriharta - Ashar Wahidil Putra B, Hardi Custer, Johny Endang Setio Rini Endi Syahrizal Faisal Hasby Sadiq Faizi, M Nur Fitriana, Dea Halim Mudia Halim Mudia Hardi B Iman Saputra Lianda, Jefri Lianda, Jefri M Solihin M. Sugianto Marlius Ardi Marzuarman, Marzuarman Mohd. Raihan Helmi Muhammad Fajar Muharnis Muharnis Nofa Mardianto Nurul Huda Pratama, Adrian Irnanda Ramadani Ramadani Rodotul Azkia Sadiq, Faisal Hasby Sandiko, M Sapriansah, Sapriansah Sihotang, Hajijah Yusra Solihin, M Stephan - Suci Damayanti Syaiful Amri Syaiful Amri Syarif, Irwan Wahyudi, Erik Zahendra, Fitra Zulkifli Zulkifli