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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Proceeding of the Electrical Engineering Computer Science and Informatics
Hitoshi Irie
Chiba University
Computer Science & IT Electrical & Electronics Engineering

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Modelling of wireless sensor networks for detection land and forest fire hotspot Evizal Abdul Kadir; Hitoshi Irie; Sri Listia Rosa; Mahmod Othman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12971

Abstract

Indonesia located in South East Asia countries with tropical region, forest fires in Indonesia is one of big issue and disaster because it happens in almost of every year, this is because of some of region consist of peat land that high risk for fire especially in dry season. Riau Province is one of region that regularly incident of forest fire with affected the length and breadth of Indonesia. Propose development of Wireless Sensor Networks (WSNs) for detection of land and forest fire hotspot in Indonesia as well as one of the main consents in this research, case location in Riau province is at one of the regions that high risk forest fire in dry season. WSNs technology used for ground sensor system to collect environmental data. Data training for fire hotspot detection is done in data center to determine and conclude of fire hotspot then potential to become big fire. The deployment of sensors located at several locations that has potential for fire incident, especially as data shown in previous case and forecast location with potential fire happen. Mathematical analysis is used in this case for modelling number of sensors required to deploy and the size of forest area. The design and development of WSNs give high impact and feasibility to overcome current issues of forest fire and fire hotspot detection in Indonesia. The development of this system used WSNs highly applicable for early warning and alert system for fire hotspot detection.
River Water Pollution Monitoring using Multiple Sensor System of WSNs Evizal Abdul Kadir; Hitoshi Irie; Sri Listia Rosa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1994

Abstract

The river is a natural phenomenon thatcommonly available in the tropical region because of rainintensity. Many peoples and community like to live along theriverside for a few decades ago. The river used by thecommunity for transportation and daily activities uses riverwater. In this research objective to design and develop a newsystem with multiple sensors system to monitor river waterpollution because most of the people use it. Wireless SensorNetworks (WSNs) used in this design and developmentbecause of advantages WSNs system, multiple sensor nodesinstalled for detection of water pollution such as watertemperature, pH, electrical conductivity (EC) and dissolvedoxygen (DO). The system designed to be able to monitorriver water pollution parameters and send the information tothe data center (backend system). Arduino microcontrollerused to process and filtering the data before sending to thebackend system, only valid and valuable information tocollect and keep in the database. Results show system be ableto detect polluted water with indicating parameters andshows in a graph. Based on analysis can be concluded thatpolluted water indicator mostly from residence waste andindustry. Furthermore, WSNs sensors will deploy in somearea then compare the results each other.
Co-Authors Evizal Abdul Kadir Mahmod Othman Sri Listia Rosa