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Design and Implementation of LoRa-Based Forest Fire Monitoring System

Journal of Robotics and Control (JRC) · Vol. 3 No. 3 (2022) · hlm. 236–243

DOI
10.18196/jrc.v3i3.14128
ISSN
2715-5072, 2715-5056
Terbit
2022-05-01
Penerbit
Universitas Muhammadiyah Yogyakarta
Bahasa
eng

Abstrak

One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.

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  • Universitas Muhammadiyah Palembang
  • Sriwijaya University
  • Muhammadiyah University of Yogyakarta
  • KIIT University
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Rekan penulisOrganisasiArtikel bersama
Zulkiffli SalehUniversitas Muhammadiyah Palembang5
Riyan Kurnia DillahUniversitas Muhammadiyah Palembang2
Taufik BarlianUniversitas Muhammadiyah Palembang2
Nugraha SyarifUniversitas Muhammadiyah Palembang2
Suppermen SuppermenUniversitas Muhammadiyah Palembang2
Anish PandeyKIIT University2
Dhiya Uddin RijalusalamMuhammadiyah University of Yogyakarta2
Iswanto SuwarnoMuhammadiyah University of Yogyakarta2
Khoirul KarimUniversitas Muhammadiyah Palembang1
Aldiansyah AldiansyahUniversitas Muhammadiyah Palembang1
Arrofi MaulanaUniversitas Muhammadiyah Palembang1
Muhammad Abu Bakar SidikSriwijaya University1
Dewi AmaliaSriwijaya University1
Tuty Emilia AgustinaSriwijaya University1
Noer Fadzri Perdana DinataSriwijaya University1
Syarifa FitriaSriwijaya University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.umy.ac.id/index.php/jrc/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Design and Implementation of LoRa-Based Forest Fire Monitoring System</dc:title>
	<dc:creator>Apriani, Yosi</dc:creator>
	<dc:creator>Oktaviani, Wiwin A.</dc:creator>
	<dc:creator>Sofian, Ian Mochamad</dc:creator>
	<dc:subject xml:lang="en-US">fire detection</dc:subject>
	<dc:subject xml:lang="en-US">AMG8833</dc:subject>
	<dc:subject xml:lang="en-US">LoRa</dc:subject>
	<dc:subject xml:lang="en-US">Arduino</dc:subject>
	<dc:description xml:lang="en-US">One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2022-05-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.umy.ac.id/index.php/jrc/article/view/14128</dc:identifier>
	<dc:identifier>10.18196/jrc.v3i3.14128</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Robotics and Control (JRC); Vol. 3 No. 3 (2022): May; 236-243</dc:source>
	<dc:source>2715-5072</dc:source>
	<dc:source>2715-5056</dc:source>
	<dc:source>10.18196/jrc.v3i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.umy.ac.id/index.php/jrc/article/view/14128/7351</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Yosi Apriani, Wiwin A Oktaviani, Ian Mochamad Sofian</dc:rights>
</oai_dc:dc>