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All Journal Journal of Information Technology and Computer Science Jurnal Ilmiah Edunomika (JIE) Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan SENTRI: Jurnal Riset Ilmiah Journal of Artificial Intelligence and Digital Business Business and Investment Review
Putra, Maulana
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Journal of Information Technology and Computer Science

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Implementation of Rainfall Monitoring through an Information System Based on Radar and Satellite Image Data using the Kalman Filter Method Sugiarto; Putra, Maulana; Syaefudin, Mohamad Anwar; Rosid , Mohammad Syamsu; Handoko, Djati
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92620

Abstract

Rainfall information is important for water resource management and disaster mitigation, so a monitoring system is needed that can provide spatial information. A rainfall monitoring information system uses radar and satellite images based on the Kalman Filter method is a website information system that aims to make it easier for users to monitor rainfall from a latitude and longitude coordinate point. The rain intensity data is in pixel colours (Red, Green, Blue) from the MAX (dBZ) product image of the EEC Weather Radar in Lampung and cloud top temperature data from the Himawari satellite. The image pixel colour data is then processed using the Kalman filter and displayed on the integrated website. The website's appearance is designed to be interactive to accommodate user customization, and the data displayed has been adapted to geographic information systems. Implementing a rainfall information system based on weather radar and satellite imagery disseminated through the website is expected to help users, both the general public and stakeholders, access real-time weather information, especially rainfall.
Co-Authors Faisal, Rizky Habibi, Muhamad Hairatunnisa, Hairatunnisa Hanbal, Akhmad Handoko, Djati Meylanasari, Dika Nugraha, Hanif Andi Romadhon, Hanif Cahyo Rosdiana, Andi Rosid, Mohammad Syamsu Sandro, Tiven Sigit Pramono Sugiarto Syaefudin, Mohamad Anwar Zakiah Zakiah Zulkarnain Zulkarnain