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All Journal Jurnal Teknologi Lingkungan Lahan Basah Journal of Electrical Engineering, Energy, and Information Technology
Sari, Asri Fornika
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Public Health

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Optimasi Pemantauan Kualitas Air Baku Dengan Metode Arima dan Teknologi IOT pada Bak Sedimentasi IPA III Sari, Asri Fornika; Panjaitan, Seno D; Sanjaya, Bomo W
Jurnal Teknologi Lingkungan Lahan Basah Vol 12, No 3 (2024): Juli 2024
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jtllb.v12i3.79709

Abstract

The provision of clean water is an important necessity for society, with water utilities playing an important role in ensuring good water quality. Water quality directly affects health, therefore, monitoring it is very important. This research designs an IoT-based raw water quality monitoring tool in the Sedimentation Basin at PERUMDA Air Minum Tirta Khatulistiwa Pontianak using Raspberry Pi Pico W. This tool allows real-time monitoring and prediction of water pH, temperature, and turbidity for the next seven days using the ARIMA method. The focus on IoT integration aims to improve monitoring efficiency and response to changing water conditions, overcoming the constraints of manual monitoring. The results showed the MAPE of the monitoring tool was 2.30% and the MAPE of the prediction was 6.41%. This signifies the reliability of the tool in accurately measuring and predicting raw water quality.
DEVELOPMENT OF ADVANCED MONITORING SYSTEM FOR IOT-BASED RAW WATER QUALITY PREDICTION Sari, Asri Fornika; Panjaitan, Seno Darmawan; Sanjaya, Bomo Wibowo; Saleh, Muhammad; Priyatman, Hendro
Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 12, No 2: August 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/j3eit.v12i2.77221

Abstract

The availability of clean water is a fundamental need for every individual, and PERUMDA Air Minum, has an important role in meeting this need in Indonesia. Water quality has a great influence on human health, so it cannot be ignored. This research developed an Internet of Things (IoT)-based raw water quality monitoring device for PERUMDA Air Minum Tirta Khatulistiwa Pontianak using a Raspberry Pi Pico W microcontroller. This device enables real-time monitoring, overcomes limitations in manual water quality monitoring, and provides remote monitoring access through the Blynk application. In addition, this research also implements the ARIMA method to predict the pH, temperature, and turbidity values of raw water in the sedimentation basin within the next seven days to support planning and treatment steps for raw water. The development of this tool aims to improve monitoring efficiency and proactive response to changes in water conditions, with the hope of being able to maintain clean water supply more effectively and overcome the constraints of manual monitoring. The results showed that the Mean Absolute Percentage Error (MAPE) of the performance of the constructed PDAM water quality monitoring device was 0,58%, while the MAPE of the predicted performance was 5,88%.
Co-Authors Hendro Priyatman, Hendro Muhammad Saleh Sanjaya, Bomo W Sanjaya, Bomo Wibowo Seno Darmawan Panjaitan