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All Journal Semantik Jurnal Buana Informatika JUTI: Jurnal Ilmiah Teknologi Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sains dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Technomedia Journal Jiko (Jurnal Informatika dan komputer) Indonesian Journal of Computing and Modeling International Journal of Natural Science and Engineering Jurnal Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Building of Informatics, Technology and Science Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Aiti: Jurnal Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknik Informatika (JUTIF) Journal of Information Technology Ampera
Indrastanti Ratna Widiasari
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Journal : International Journal of Natural Science and Engineering

 1 
Early Warning System for Potential Fires in the Dry Season Based on the Internet of Things Excel Barthel Maitimu; Indrastanti Ratna Widiasari
International Journal of Natural Science and Engineering Vol. 6 No. 2 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.937 KB) | DOI: 10.23887/ijnse.v6i2.38266

Abstract

Almost every year, forest and land fires occur in Indonesia, the impact of which is felt by the surrounding community and neighboring countries. Such as the recent fires in East Kotawaringin and Katingan, Central Kalimantan. The land affected by the fire is believed to be a concession belonging to a Malaysian company. According to the Ministry of Environment and Forestry, the area of forest and land fires is calculated based on an analysis of Landsat 8 OLI/TIRS satellite imagery, which is compared (overlay) with data on the distribution of hotspots. In this research, the Internet of Things (IoT) can be useful in preventing forest fires that usually occur on the slopes of Merbabu during the dry season. IoT sensor technology can detect air humidity, temperature, and wind speed parameters for fires in the dry season. This study aims to warn of potential forest and land fires in Mount Merbabu by providing notifications from IoT sensors. From the sensor testing that has been done, it can be seen that the sensor can provide information accurately and in real-time. The tests were carried out in three places: at the foot of Mount Merbabu, the SWCU FTI Peak, and the rice fields. The different results in three places with different vegetation indices indicate that the design of a fire potential warning system based on the Internet of Things in the dry season (July – September) can be used in areas with a low vegetation index on the slopes of Mount Merbabu, the majority of which are dry and easy grasslands burnt.
Co-Authors Aditya Indra Cahya Amanda Andi Pebriananta Andreas Sebayang Angreyni Regal Arya Pradana Bagus Pramono Billy Hamsen Cahyaningrum, Yuliana Christian Cahyaningtyas Denil Cristianto Dian W Chandra Excel Barthel Maitimu Fra Arsandy Kusuma Sejati Fransiskus Simson Gading Haryono Wibowo Hotman Samuel Simarmata Imanuel Noval Amanda Prahara Irwan Sembiring Jonathan Liando Merryana Lestari Nikolaus Toni Rapawuli Eko Putro Rissal Efendi Rizal Dwi Pratomo safry pasau tangdisosang Suwijo Danu Prasetyo T. Arie Setiawan Prasida Teguh Indra Bayu Theopillus J. H. Wellem Theovan Gracia Stefana Putra Ulfa Septilia Permatasari William Christopher Wisnu Widi Anggoro Yessica Nataliani Yoel Chandra Eka Paksi Yonatan Surya Kristama