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Characterization of Daily Solar Radiation Intensity Based on In-Situ Data Using the BH1750 Sensor

Proceedings Academic Universitas Jambi · Vol. 2 No. 2 (2026) · hlm. 87–92

DOI
10.22437/proca.v2i2.55521
Terbit
2026-07-15
Penerbit
LPPM Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

This study aims to characterize the daily solar radiation intensity using in-situ data obtained from the BH1750 sensor. The measurement system was designed using the BH1750 light sensor, with data transmitted wirelessly to the ThingSpeak cloud platform for storage and analysis. Data collection was carried out over two consecutive days in an open area with a recording interval of one hour. The measurement results show that the intensity pattern on the first day reached its peak (approximately 62 kLx) at 12:00 noon. This pattern exhibits a nearly symmetric distribution, representing relatively clear and stable weather conditions around midday. In contrast, the second day’s peak intensity (around 65 kLx) occurred earlier, at 11:00, and rose again at 13:00, indicating sharp intensity fluctuations. These fluctuations resulted in two distinct local peaks before the intensity declined to zero at sunset. The differences in peak timing and daily fluctuation patterns highlight the need for further analysis using machine learning approaches to accurately model the complex and non-linear relationships within solar radiation data.

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  • Universitas Muslim Indonesia
  • Universitas Jambi
  • Diponegoro University
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  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Mardian PeslinofAfiliasi tidak diketahui23
Tika RestianingsihAfiliasi tidak diketahui12
Rista Mutia AnggrainiAfiliasi tidak diketahui10
Samsidar SamsidarUniversitas Muslim Indonesia10
Linda HandayaniAfiliasi tidak diketahui9
Rustan RustanAfiliasi tidak diketahui8
Iful AmriAfiliasi tidak diketahui6
Maison MaisonAfiliasi tidak diketahui5
NurhidayahAfiliasi tidak diketahui5
Febri Berthalita PujaningsihAfiliasi tidak diketahui4
Lucky Zaehir MaulanaAfiliasi tidak diketahui4
Benedika Ferdian HutabaratUniversitas Jambi4
Muhammad Ficky AfriantoAfiliasi tidak diketahui4
NazarudinAfiliasi tidak diketahui4
NelsonAfiliasi tidak diketahui4
Cindy Nur SyaqilaAfiliasi tidak diketahui4
Ilham Jaya WindhanuAfiliasi tidak diketahui4
Fairuz Athaya zahran Tane TaneAfiliasi tidak diketahui4
Ichy Lucya RestaAfiliasi tidak diketahui4
. SamsidarAfiliasi tidak diketahui3
RustanAfiliasi tidak diketahui3
Ardiyaningsih Puji LestariAfiliasi tidak diketahui3
Nurhidayah NurhidayahAfiliasi tidak diketahui2
Nurhidayah NurhidayahAfiliasi tidak diketahui2
Sherli YurinandaAfiliasi tidak diketahui2
Shella GarelitaAfiliasi tidak diketahui1
Samsidah SamsidahAfiliasi tidak diketahui1
Nurhidayah NurhidayahAfiliasi tidak diketahui1
Nurhidayah NurhidayahAfiliasi tidak diketahui1
R AngelinaAfiliasi tidak diketahui1
SamsisarAfiliasi tidak diketahui1
Willy Bima AlfajriDiponegoro University1
Fiqri Al FaruqiAfiliasi tidak diketahui1
V. A NandaAfiliasi tidak diketahui1
AlrizalAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/PROCA/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Characterization of Daily Solar Radiation Intensity Based on In-Situ Data Using the BH1750 Sensor</dc:title>
	<dc:creator xml:lang="en">Pebralia, Jesi</dc:creator>
	<dc:creator xml:lang="en">Fendriani, Yoza</dc:creator>
	<dc:creator xml:lang="en">Afrianto, M. Ficky</dc:creator>
	<dc:creator xml:lang="en">Deswardani, Frastica</dc:creator>
	<dc:creator xml:lang="en">Alrizal, Alrizal</dc:creator>
	<dc:subject xml:lang="en">Radiation intensity</dc:subject>
	<dc:subject xml:lang="en">Sensor BH1750</dc:subject>
	<dc:subject xml:lang="en">Machine learning</dc:subject>
	<dc:description xml:lang="en">This study aims to characterize the daily solar radiation intensity using in-situ data obtained from the BH1750 sensor. The measurement system was designed using the BH1750 light sensor, with data transmitted wirelessly to the ThingSpeak cloud platform for storage and analysis. Data collection was carried out over two consecutive days in an open area with a recording interval of one hour. The measurement results show that the intensity pattern on the first day reached its peak (approximately 62 kLx) at 12:00 noon. This pattern exhibits a nearly symmetric distribution, representing relatively clear and stable weather conditions around midday. In contrast, the second day’s peak intensity (around 65 kLx) occurred earlier, at 11:00, and rose again at 13:00, indicating sharp intensity fluctuations. These fluctuations resulted in two distinct local peaks before the intensity declined to zero at sunset. The differences in peak timing and daily fluctuation patterns highlight the need for further analysis using machine learning approaches to accurately model the complex and non-linear relationships within solar radiation data.</dc:description>
	<dc:publisher xml:lang="en">LPPM Universitas Jambi</dc:publisher>
	<dc:date>2026-07-15</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://online-journal.unja.ac.id/PROCA/article/view/55521</dc:identifier>
	<dc:identifier>10.22437/proca.v2i2.55521</dc:identifier>
	<dc:source xml:lang="en">Proceedings Academic Universitas Jambi; Vol. 2 No. 2 (2026): The 3rd Jambi International Conference On Engineering, Science and Technology (JICEST); 87-92</dc:source>
	<dc:source>10.22437/proca.v2i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/PROCA/article/view/55521/24947</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Jesi Pebralia, Yoza Fendriani, M. Ficky Afrianto, Frastica Deswardani, Alrizal</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>