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SISTEM BASIS DATA PEMANTAUAN PARAMETER AIR BERBASIS INTERNET OF THINGS (IoT) DENGAN PLATFORM THINGSPEAK

JOURNAL ONLINE OF PHYSICS · Vol. 8 No. 2 (2023) · hlm. 42–50

DOI
10.22437/jop.v8i2.24365
ISSN
2502-2016
Terbit
2023-04-01
Penerbit
Prodi Fisika FST UNJA
Bahasa
en

Abstrak

] This research aims to develop an Internet of Things (IoT)-based water parameter monitoring database system using the Thingspeak platform. This system is designed to monitor real-time water parameters such as temperature, water pH, and water turbidity. Sensors for monitoring these water parameters are installed on a Raspberry Pi microprocessor connected to the internet network. The data generated by the sensors and processed by the Raspberry Pi are then sent to the Thingspeak server. The database system developed in this research utilizes the features provided by the Thingspeak platform, such as data processing, visualization, and integration with other software. The data stored in the database can be accessed online through the dashboard provided by Thingspeak. The test results show that the IoT-based water parameter monitoring database system with the Thingspeak platform can function properly and provide accurate information on the monitored water conditions. The sensors installed on the water successfully sent data periodically to the Thingspeak platform every 10 seconds. The test results showed a deviation value of 0.9996 for the accuracy of the temperature parameter, where the accuracy value of the temperature varied from 96.30% to 100%. The average accuracy of the temperature measurement was 98.74%, and the average system error was 1.26%. The system accuracy test results range from 0.95 to 0.99. The testing was conducted on a laboratory scale, and in the future, this system can be developed for real-time water parameter monitoring over a longer period of time

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  • Universitas Muslim Indonesia
  • Universitas Jambi
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Jesi PebraliaAfiliasi tidak diketahui13
Frastica DeswardaniAfiliasi tidak diketahui12
Linda HandayaniAfiliasi tidak diketahui10
Samsidar SamsidarUniversitas Muslim Indonesia8
Alrizal AlrizalAfiliasi tidak diketahui6
NurhidayahAfiliasi tidak diketahui6
Rustan RustanAfiliasi tidak diketahui6
Benedika Ferdian HutabaratUniversitas Jambi6
Helga Dwi FahyuanAfiliasi tidak diketahui5
. SamsidarAfiliasi tidak diketahui5
RustanAfiliasi tidak diketahui5
Maison MaisonAfiliasi tidak diketahui4
Rista Mutia AnggrainiAfiliasi tidak diketahui4
NazarudinAfiliasi tidak diketahui4
NelsonAfiliasi tidak diketahui4
Tika RestianingsihAfiliasi tidak diketahui4
Ardiyaningsih Puji LestariAfiliasi tidak diketahui3
Sherli YurinandaAfiliasi tidak diketahui3
Faizar FaridAfiliasi tidak diketahui3
Ngatijo NgatijoAfiliasi tidak diketahui2
Iful AmriAfiliasi tidak diketahui2
Fairuz Athaya zahran Tane TaneAfiliasi tidak diketahui2
Helga DwiAfiliasi tidak diketahui2
Nurhidayah NurhidayahAfiliasi tidak diketahui2
Samsidah SamsidahAfiliasi tidak diketahui1
Nurhidayah NurhidayahAfiliasi tidak diketahui1
Uce LestariAfiliasi tidak diketahui1
Nova SusantiAfiliasi tidak diketahui1
Rizqa Raaiqa BintanaAfiliasi tidak diketahui1
Bagas SeptiawanAfiliasi tidak diketahui1
devi indrianiAfiliasi tidak diketahui1
Julianti LestariAfiliasi tidak diketahui1
MEGA HARDIYANTI HPAfiliasi tidak diketahui1
Nasri MZAfiliasi tidak diketahui1
Febri MaulanaAfiliasi tidak diketahui1
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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/jop/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">SISTEM BASIS DATA PEMANTAUAN PARAMETER AIR BERBASIS INTERNET OF THINGS (IoT) DENGAN PLATFORM THINGSPEAK</dc:title>
	<dc:creator xml:lang="en">Ferdian Hutabarat, Benedika</dc:creator>
	<dc:creator xml:lang="en">Peslinof, Mardian</dc:creator>
	<dc:creator xml:lang="en">Afrianto, M. Ficky</dc:creator>
	<dc:creator xml:lang="en">Fendriani, Yoza</dc:creator>
	<dc:subject xml:lang="en">Database System, Water Parameter Sensors, Internet of Things (IoT), Raspberry Pi, Thingspeak.</dc:subject>
	<dc:description xml:lang="en">]&amp;nbsp;This research aims to develop an Internet of Things (IoT)-based water parameter monitoring database system using the Thingspeak platform. This system is designed to monitor real-time water parameters such as temperature, water pH, and water turbidity. Sensors for monitoring these water parameters are installed on a Raspberry Pi microprocessor connected to the internet network. The data generated by the sensors and processed by the Raspberry Pi are then sent to the Thingspeak server. The database system developed in this research utilizes the features provided by the Thingspeak platform, such as data processing, visualization, and integration with other software. The data stored in the database can be accessed online through the dashboard provided by Thingspeak. The test results show that the IoT-based water parameter monitoring database system with the Thingspeak platform can function properly and provide accurate information on the monitored water conditions. The sensors installed on the water successfully sent data periodically to the Thingspeak platform every 10 seconds. The test results showed a deviation value of 0.9996 for the accuracy of the temperature parameter, where the accuracy value of the temperature varied from 96.30% to 100%. The average accuracy of the temperature measurement was 98.74%, and the average system error was 1.26%. The system accuracy test results range from 0.95 to 0.99. The testing was conducted on a laboratory scale, and in the future, this system can be developed for real-time water parameter monitoring over a longer period of time</dc:description>
	<dc:publisher xml:lang="en">Prodi Fisika FST UNJA</dc:publisher>
	<dc:date>2023-04-01</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://online-journal.unja.ac.id/jop/article/view/24365</dc:identifier>
	<dc:identifier>10.22437/jop.v8i2.24365</dc:identifier>
	<dc:source xml:lang="en">JOURNAL ONLINE OF PHYSICS; Vol. 8 No. 2 (2023): JOP (Journal Online of Physics) Vol 8 No 2; 42-50</dc:source>
	<dc:source>2502-2016</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/jop/article/view/24365/15376</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 JOURNAL ONLINE OF PHYSICS</dc:rights>
</oai_dc:dc>