Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things

Based on statistics from Indonesian National Board for Disaster Management (BNPB) there are still many casualties caused by drifting or drowning in rivers every year. This is because most victims do not have sufficient information related to water discharge and river depth. In an effort to reduce th...

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Main Authors: Kurnia Wisuda Aji, Aji Gautama Putrada, Sidik Prabowo, Mas'ud Adhi Saputra
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2020-06-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/1785
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author Kurnia Wisuda Aji
Aji Gautama Putrada
Sidik Prabowo
Mas'ud Adhi Saputra
author_facet Kurnia Wisuda Aji
Aji Gautama Putrada
Sidik Prabowo
Mas'ud Adhi Saputra
author_sort Kurnia Wisuda Aji
collection DOAJ
description Based on statistics from Indonesian National Board for Disaster Management (BNPB) there are still many casualties caused by drifting or drowning in rivers every year. This is because most victims do not have sufficient information related to water discharge and river depth. In an effort to reduce the potential victims of these problems, a prototype was designed to provide a warning regarding river status as a display in the detail condition of the river in real-time. In this research, a prototype measuring instrument was produced that could provide information on water discharge and river depth in a sustainable and real-time manner. The prototype device consists of two main sensors as an implementation of internet of things, a water flow sensor and an ultrasonic sensor. Water flow sensor used to calculate the water discharge, and ultrasonic sensor used to measure depth of the river. Fuzzy logic has been used because it can work well for simple classification and work similarly like human reasoning. This information can be monitored through the website and LCD attached on the device. The results of the study with the help of the Linear Congruential Generator (LCG) method indicated that greater input value of the water discharge and the river depth caused more dangerous of the river status. Whereas the prototype produced has an error range of 5-6 cm for depth information generated by the ultrasonic sensor while the accuracy of the water flow sensor on the master device is 79.75% and the slave device is 84%.
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spelling doaj.art-0f0f050e65e4496d8725aed2fb44c7a92024-02-02T19:59:41ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602020-06-014338439110.29207/resti.v4i3.17851785Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of ThingsKurnia Wisuda Aji0Aji Gautama Putrada1Sidik Prabowo2Mas'ud Adhi Saputra3Universitas TelkomUniversitas TelkomUniversitas TelkomBalai Besar Bahan dan Barang Teknik, Kementerian PerindustrianBased on statistics from Indonesian National Board for Disaster Management (BNPB) there are still many casualties caused by drifting or drowning in rivers every year. This is because most victims do not have sufficient information related to water discharge and river depth. In an effort to reduce the potential victims of these problems, a prototype was designed to provide a warning regarding river status as a display in the detail condition of the river in real-time. In this research, a prototype measuring instrument was produced that could provide information on water discharge and river depth in a sustainable and real-time manner. The prototype device consists of two main sensors as an implementation of internet of things, a water flow sensor and an ultrasonic sensor. Water flow sensor used to calculate the water discharge, and ultrasonic sensor used to measure depth of the river. Fuzzy logic has been used because it can work well for simple classification and work similarly like human reasoning. This information can be monitored through the website and LCD attached on the device. The results of the study with the help of the Linear Congruential Generator (LCG) method indicated that greater input value of the water discharge and the river depth caused more dangerous of the river status. Whereas the prototype produced has an error range of 5-6 cm for depth information generated by the ultrasonic sensor while the accuracy of the water flow sensor on the master device is 79.75% and the slave device is 84%.http://jurnal.iaii.or.id/index.php/RESTI/article/view/1785water dischargeriver depthfuzzy logicinternet of things
spellingShingle Kurnia Wisuda Aji
Aji Gautama Putrada
Sidik Prabowo
Mas'ud Adhi Saputra
Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
water discharge
river depth
fuzzy logic
internet of things
title Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things
title_full Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things
title_fullStr Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things
title_full_unstemmed Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things
title_short Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things
title_sort water discharge and river depth measurement using fuzzy logic based on internet of things
topic water discharge
river depth
fuzzy logic
internet of things
url http://jurnal.iaii.or.id/index.php/RESTI/article/view/1785
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AT ajigautamaputrada waterdischargeandriverdepthmeasurementusingfuzzylogicbasedoninternetofthings
AT sidikprabowo waterdischargeandriverdepthmeasurementusingfuzzylogicbasedoninternetofthings
AT masudadhisaputra waterdischargeandriverdepthmeasurementusingfuzzylogicbasedoninternetofthings