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All Journal Journal of Information Technology and Computer Science
Mochammad Hannats Hanafi Ichsan
Brawijaya University, Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Rain Harvester Prototype Integration for Drinking Water Using IoT And Mobile Apps Muh. Fijar Sukma Kartika; Miftakhul Pebrianti Ningsih; Muhammad Aditya Darma Saputra; St. Shofiah Aghnani Alfi Laila Fq; Faris Febrian Hadianta; Mochammad Hannats Hanafi Ichsan
Journal of Information Technology and Computer Science Vol. 8 No. 1: April 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202381452

Abstract

The drought that hit Indonesia caused 8 provinces in Indonesia to experience a crisis of clean water and drinking water. Meanwhile, the rainy season in Indonesia occurs for 6 months, starting from November to April. The peak of the rainy season in Indonesia occurs in January, with an average maximum rain intensity of around >700 mm. Based on the situation from the massive potential of rainwater in Indonesia, the possibility to produce clean water and drinking water to overcome drought problems in the dry season. The resulting drinking water must qualify according to its standards. Therefore, the water quality produced from this prototype must be observed. The purpose of this study is to determine the reliability of the filter on the rainwater harvester. The water filter materials used are zeolite natural stone, activated carbon stone, and filter cotton, and further filters are carried out through the Ultrafiltration membrane and electrolysis process. Then the water can be monitored for quality through the user's device. The external water quality of the rainwater harvester is tested with acidity or pH, Total Dissolve Solid or dissolved solids, and Turbidity or water clarity. The change in water quality is seen in TDS, from 50 ppm to 203 ppm. In addition, water quality is seen from the pH of 6.1 to 6.9 and for Turbidity of rainwater which is 0 NTU. Rainwater harvesters can convert rainwater into drinking water. However, in the future, there must be further research on the quality of water produced from rainwater harvesters.
Enhancing River Monitoring Embedded System using Time Redundancy Fault Tolerance to Resolve Transient Sensor Fault Mochammad Hannats Hanafi Ichsan; Muhammad Adinura Julian Habibie; Wijaya Kurniawan
Journal of Information Technology and Computer Science Vol. 8 No. 1: April 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202381453

Abstract

Reading data from sensors in the context of the Internet of Things (IoT) is one of the main parameters of a high-reliability system. Data reading by sensors is prone to errors due to various variables that the problem cannot accommodate. One method to overcome this problem is the time redundancy algorithm, where the sensor takes data and its best value several times. In this study, the sensors used to calculate the water levels are ultrasonic sensors and resistance. At the river monitoring point, data is sent using the UDP (User Datagram Protocol) protocol that previous studies have used. This research has been done as a prototype with a maximum distance between sensor nodes of one meter. The results of sending data using UDP were successful, with an average delay of 3293 microseconds. And the ultrasonic sensor that has been tested based on transient fault against time redundancy has an accuracy of 94.5% based on a sampling delay of 1000ms.
Co-Authors Faris Febrian Hadianta Miftakhul Pebrianti Ningsih Muh. Fijar Sukma Kartika Muhammad Adinura Julian Habibie Muhammad Aditya Darma Saputra St. Shofiah Aghnani Alfi Laila Fq Wijaya Kurniawan