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Journal

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

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

DOI
10.22437/jop.v8i2.24365
ISSN
2502-2016
Published
2023-04-01
Publisher
Prodi Fisika FST UNJA
Language
en

Abstract

] 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

Keywords

Collaboration network of the authors

40 authors · 177 co-authorship links · showing the 40 most connected

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  • Universitas Muslim Indonesia
  • Universitas Jambi
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Jesi PebraliaAffiliation unknown13
Frastica DeswardaniAffiliation unknown12
Linda HandayaniAffiliation unknown10
Samsidar SamsidarUniversitas Muslim Indonesia8
Alrizal AlrizalAffiliation unknown6
NurhidayahAffiliation unknown6
Rustan RustanAffiliation unknown6
Benedika Ferdian HutabaratUniversitas Jambi6
Helga Dwi FahyuanAffiliation unknown5
. SamsidarAffiliation unknown5
RustanAffiliation unknown5
Maison MaisonAffiliation unknown4
Rista Mutia AnggrainiAffiliation unknown4
NazarudinAffiliation unknown4
NelsonAffiliation unknown4
Tika RestianingsihAffiliation unknown4
Ardiyaningsih Puji LestariAffiliation unknown3
Sherli YurinandaAffiliation unknown3
Faizar FaridAffiliation unknown3
Ngatijo NgatijoAffiliation unknown2
Iful AmriAffiliation unknown2
Fairuz Athaya zahran Tane TaneAffiliation unknown2
Helga DwiAffiliation unknown2
Nurhidayah NurhidayahAffiliation unknown2
Samsidah SamsidahAffiliation unknown1
Nurhidayah NurhidayahAffiliation unknown1
Uce LestariAffiliation unknown1
Nova SusantiAffiliation unknown1
Rizqa Raaiqa BintanaAffiliation unknown1
Bagas SeptiawanAffiliation unknown1
devi indrianiAffiliation unknown1
Julianti LestariAffiliation unknown1
MEGA HARDIYANTI HPAffiliation unknown1
Nasri MZAffiliation unknown1
Febri MaulanaAffiliation unknown1
Elmas DopriAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/jop/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (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>