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Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Journal of Robotics and Control (JRC) · Vol. 5 No. 1 (2024) · hlm. 271–286

DOI
10.18196/jrc.v5i1.20991
ISSN
2715-5072, 2715-5056
Terbit
2024-02-03
Penerbit
Universitas Muhammadiyah Yogyakarta
Bahasa
eng

Abstrak

Microclimate monitoring in agroforestry is very important to understand the complex interactions between vegetation, soil, and the environment. Microclimate parameters include air and soil temperature, air humidity, soil moisture, and light intensity. This research aims to develop a new microclimate data recording system for coffee-pine agroforestry, utilizing LoRaWAN and IoT technology to capture real-time microclimate parameters. Unlike traditional data loggers that require manual download on-site, this innovative system enables instant data download from IoT servers, thereby increasing data efficiency and accessibility. The system proved effective, significantly improving the precision of air temperature and humidity, as well as soil temperature measurements, with an average accuracy of 100%. However, soil moisture and light intensity recorded lower accuracies of 81.23% and 82.56%, respectively, indicating potential areas for future research and system refinement. The system maintains a 15-minute sampling period, aligning with conventional datalogger intervals. This represents an advancement in precision agriculture for microclimate monitoring, enabling the data to be utilized in decision-making for agroforestry management, which involves complex interactions between the local microclimate and the broader ecological system. It underscores the significance of sustainable land use as a response to global climate change.

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  • University of Brawijaya
  • State University of Malang
  • Universitas Ahmad Dahlan
  • UK Centre for Ecology & Hydrology
  • Universitas Islam Malang
  • Universitas Merdeka Malang
  • University of South Australia
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  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Rika Ratna SariUniversity of Brawijaya7
Novi ArfaritaUniversitas Islam Malang6
Danny Dwi SaputraUniversity of Brawijaya6
Ahmad Ali Yuddin FitraUniversity of Brawijaya6
Kurniatun HairiahUniversity of Brawijaya4
Rizki Maulana IshaqUniversity of Brawijaya3
Denis Eka CahyaniState University of Malang2
Langlang GumilarState University of Malang2
Arif Nur AfandiState University of Malang2
Erni YudaningtyasUniversity of Brawijaya2
Muhammad Fauzan Edy PurnomoUniversity of Brawijaya2
Denda DewatamaUniversity of Brawijaya2
Zaenal KusumaUniversity of Brawijaya2
Sugeng PrijonoUniversity of Brawijaya2
Denny Sagita RusdiantoUniversity of Brawijaya1
Barlian Henryranu PrasetioUniversity of Brawijaya1
Riri Nada DevitaState University of Malang1
Heru Wahyu HerwantoState University of Malang1
Anik Nur HandayaniState University of Malang1
Resty WulanningrumState University of Malang1
Wayan Firdaus MahmudyUniversity of Brawijaya1
Nadia Roosmalita SariUniversity of Brawijaya1
Elta SonalithaUniversitas Merdeka Malang1
Adin Okta TriqadafiUniversity of Brawijaya1
Aldi Dwi PutraUniversity of Brawijaya1
Triswantoro PutroUniversity of Brawijaya1
Dewi AnggraeniUniversity of Brawijaya1
Andrew NafalskiUniversity of South Australia1
Didik Dwi PrasetyaState University of Malang1
Ahmad Kadri JunohUniversiti Malaysia Perlis1
Rully Charitas Indra PrahmanaUniversitas Ahmad Dahlan1
Tri SutantiUniversitas Ahmad Dahlan1
Ahmad Muhammad DiponegoroUniversitas Ahmad Dahlan1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

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) 
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	<dc:title xml:lang="en-US">Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology</dc:title>
	<dc:creator>Nurwarsito, Heru</dc:creator>
	<dc:creator>Suprayogo, Didik</dc:creator>
	<dc:creator>Sakti, Setyawan P.</dc:creator>
	<dc:creator>Prayogo, Cahyo</dc:creator>
	<dc:creator>Oakley, Simon</dc:creator>
	<dc:creator>Wibawa, Aji Prasetya</dc:creator>
	<dc:creator>Adaby, Resnu Wahyu</dc:creator>
	<dc:subject xml:lang="en-US">Microclimate Monitoring</dc:subject>
	<dc:subject xml:lang="en-US">Coffee-Pine Agroforestry</dc:subject>
	<dc:subject xml:lang="en-US">Lorawan</dc:subject>
	<dc:subject xml:lang="en-US">IoT.</dc:subject>
	<dc:description xml:lang="en-US">Microclimate monitoring in agroforestry is very important to understand the complex interactions between vegetation, soil, and the environment. Microclimate parameters include air and soil temperature, air humidity, soil moisture, and light intensity. This research aims to develop a new microclimate data recording system for coffee-pine agroforestry, utilizing LoRaWAN and IoT technology to capture real-time microclimate parameters. Unlike traditional data loggers that require manual download on-site, this innovative system enables instant data download from IoT servers, thereby increasing data efficiency and accessibility. The system proved effective, significantly improving the precision of air temperature and humidity, as well as soil temperature measurements, with an average accuracy of 100%. However, soil moisture and light intensity recorded lower accuracies of 81.23% and 82.56%, respectively, indicating potential areas for future research and system refinement. The system maintains a 15-minute sampling period, aligning with conventional datalogger intervals. This represents an advancement in precision agriculture for microclimate monitoring, enabling the data to be utilized in decision-making for agroforestry management, which involves complex interactions between the local microclimate and the broader ecological system. It underscores the significance of sustainable land use as a response to global climate change.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2024-02-03</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/20991</dc:identifier>
	<dc:identifier>10.18196/jrc.v5i1.20991</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Robotics and Control (JRC); Vol. 5 No. 1 (2024); 271-286</dc:source>
	<dc:source>2715-5072</dc:source>
	<dc:source>2715-5056</dc:source>
	<dc:source>10.18196/jrc.v5i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.umy.ac.id/index.php/jrc/article/view/20991/8956</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Heru Nurwarsito, Didik Suprayogo, Setyawan Purnomo Sakti, Cahyo Prayogo, Simon Oakley, Aji Prasetya Wibawa, Resnu Wahyu Adaby</dc:rights>
</oai_dc:dc>