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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Main Authors: Mutri M.A., Saputra A.R.A., Alinursafa I., Ahmed A.N., Yafouz A., El-Shafie A.
Other Authors: 24734366700
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2025
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pH
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spelling 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
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic 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
spellingShingle 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
description 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.
author2 24734366700
author_facet 24734366700
Mutri M.A.
Saputra A.R.A.
Alinursafa I.
Ahmed A.N.
Yafouz A.
El-Shafie A.
format Article
author Mutri M.A.
Saputra A.R.A.
Alinursafa I.
Ahmed A.N.
Yafouz A.
El-Shafie A.
author_sort 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
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2025
_version_ 1825816072216903680
score 13.244413