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Smart system for water quality monitoring utilizing long-range-based Internet of Things

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dc.citedby9
dc.contributor.authorMutri M.A.en_US
dc.contributor.authorSaputra A.R.A.en_US
dc.contributor.authorAlinursafa I.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorYafouz A.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid24734366700en_US
dc.contributor.authorid58922440200en_US
dc.contributor.authorid57215539757en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid57221981418en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2025-03-03T07:44:12Z
dc.date.available2025-03-03T07:44:12Z
dc.date.issued2024
dc.description.abstractWater is the most basic need for humans and a source of livelihood for humans. Lack of human awareness to maintain water quality, causing water to become polluted, by both industrial and household waste, impacts on human health and material loss. Thus, it is important to create technology that can monitor water pollution automatically and quickly. This research aims to create a system which utilizes the Internet of Things (IoT) technology that can facilitate quality of water by measuring parameters such as pH and turbidity. The methodology of the system progresses by the usage of a controller which is ATmega328P-AU, pH sensor to measure acidity, turbidity sensor to measure turbidity level, LPWAN LoRa works like a communication of data transmission as well as cloud service, namely Antares, to store data that are sent via Android. Based on the outcomes, the proposed system has achieved a reliable accuracy with percentage error of 99.73% in pH sensor and 99.41% in the turbidity sensor. Also, 2.6�s is the average required time to deliver the results to the cloud service. ? The Author(s) 2024.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo69
dc.identifier.doi10.1007/s13201-024-02128-z
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85186923700
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85186923700&doi=10.1007%2fs13201-024-02128-z&partnerID=40&md5=030038f91c15a4ce06adad27cde560fd
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36725
dc.identifier.volume14
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleApplied Water Science
dc.subjectAndroid (operating system)
dc.subjectpH
dc.subjectpH sensors
dc.subjectTurbidity
dc.subjectWater pollution
dc.subjectWater quality
dc.subjectWeb services
dc.subjectAndroid
dc.subjectCloud services
dc.subjectHousehold waste
dc.subjectInternet of thing
dc.subjectLPWAN lora
dc.subjectRange-based
dc.subjectSmart System
dc.subjectTurbidity sensors
dc.subjectWaste impacts
dc.subjectWater quality monitoring
dc.subjectcommunication
dc.subjectdata transmission
dc.subjectenvironmental monitoring
dc.subjectwater management
dc.subjectwater pollution
dc.subjectwater quality
dc.subjectInternet of things
dc.titleSmart system for water quality monitoring utilizing long-range-based Internet of Thingsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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