Smart system for water quality monitoring utilizing long-range-based Internet of Things
Water 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 m...
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my.uniten.dspace-367252025-03-03T15:44:12Z Smart system for water quality monitoring utilizing long-range-based Internet of Things Mutri M.A. Saputra A.R.A. Alinursafa I. Ahmed A.N. Yafouz A. El-Shafie A. 24734366700 58922440200 57215539757 57214837520 57221981418 16068189400 Android (operating system) pH pH sensors Turbidity Water pollution Water quality Web services Android Cloud services Household waste Internet of thing LPWAN lora Range-based Smart System Turbidity sensors Waste impacts Water quality monitoring communication data transmission environmental monitoring water management water pollution water quality Internet of things Water 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. Final 2025-03-03T07:44:12Z 2025-03-03T07:44:12Z 2024 Article 10.1007/s13201-024-02128-z 2-s2.0-85186923700 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186923700&doi=10.1007%2fs13201-024-02128-z&partnerID=40&md5=030038f91c15a4ce06adad27cde560fd https://irepository.uniten.edu.my/handle/123456789/36725 14 4 69 All Open Access; Gold Open Access Springer Science and Business Media Deutschland GmbH Scopus |
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Android (operating system) pH pH sensors Turbidity Water pollution Water quality Web services Android Cloud services Household waste Internet of thing LPWAN lora Range-based Smart System Turbidity sensors Waste impacts Water quality monitoring communication data transmission environmental monitoring water management water pollution water quality Internet of things |
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Android (operating system) pH pH sensors Turbidity Water pollution Water quality Web services Android Cloud services Household waste Internet of thing LPWAN lora Range-based Smart System Turbidity sensors Waste impacts Water quality monitoring communication data transmission environmental monitoring water management water pollution water quality Internet of things Mutri M.A. Saputra A.R.A. Alinursafa I. Ahmed A.N. Yafouz A. El-Shafie A. Smart system for water quality monitoring utilizing long-range-based Internet of Things |
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Water 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. |
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24734366700 |
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24734366700 Mutri M.A. Saputra A.R.A. Alinursafa I. Ahmed A.N. Yafouz A. El-Shafie A. |
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Article |
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Mutri M.A. Saputra A.R.A. Alinursafa I. Ahmed A.N. Yafouz A. El-Shafie A. |
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Mutri M.A. |
title |
Smart system for water quality monitoring utilizing long-range-based Internet of Things |
title_short |
Smart system for water quality monitoring utilizing long-range-based Internet of Things |
title_full |
Smart system for water quality monitoring utilizing long-range-based Internet of Things |
title_fullStr |
Smart system for water quality monitoring utilizing long-range-based Internet of Things |
title_full_unstemmed |
Smart system for water quality monitoring utilizing long-range-based Internet of Things |
title_sort |
smart system for water quality monitoring utilizing long-range-based internet of things |
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Springer Science and Business Media Deutschland GmbH |
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2025 |
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1825816072216903680 |
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