Article Per Year (5 Year)
p-Index From 2021 - 2026
1.532
P-Index
This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceedings of KNASTIK Jurnal Pekommas JURNAL ELEKTRO Indonesian Journal of Information System Jurnal Ilmiah Realtech Jurnal Restikom : Riset Teknik Informatika dan Komputer Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ilmiah Sains Widya Teknik Journal of Information Technology and its Utilization
Debby Paseru
Universitas Katolik De La Salle Manado
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Physics

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Geographical Information System for Mapping Flood-Prone Areas in Manado City Using the K-Means Clustering Method Aurelia Koagouw; Debby Paseru; Indah Kairupan
Journal of Information Technology and Its Utilization Vol 7 No 1 (2024): June 2024
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.7.1.5403

Abstract

Floods are natural events or phenomena that can cause environmental damage, loss of property, psychological effects, and death or casualties. One way to control flooding non-structurally is by mapping areas that are prone to flooding. This study builds a geographic-based information system to map flood-prone areas in Manado City using the K-Means Clustering algorithm. The main objective of this research is to identify and map areas with a high risk of flooding using spatial data. Slope, land cover type, soil type, water discharge (discharge), and rainfall are independent variables that will be used and processed using the K-Means Clustering algorithm. There are four clusters in the mapping results of flood-prone areas, namely: high vulnerability, medium vulnerability, low vulnerability, and not vulnerable. By using the K-Means method, the results obtained are Paal Dua and Wenang sub-districts are high-vulnerability groups, followed by Mapanget, Tuminting, and Singkil subdistricts with medium vulnerability groups. Tikala District is the only area with low vulnerability. Meanwhile, Bunaken, Sario, Wanea, and Malayayang sub-districts are areas that are not potentially prone to flooding.
Co-Authors Alfonso Mario Tumewu Audy Aldrin Kenap Aurelia Koagouw Benny Pinontoan Chrisno R. Kotta Erich Sumendap Frederica, Gabrielle Hendri Hermawan Adinugraha Immanuela Saputro Indah Kairupan Inggrid Alista Paendong Junaidy Budi Sanger Kairupan, Indah Kevin Kindangen Kindangen, Kevin Koagouw, Aurelia Kotta, Chrisno R. Kumenap, Vivie Deyby Lijoed, Theovani Meirio Tengor Michael George Sumampouw Olvina Rante Reynaldi Kuera Rila Mandala Sengkey, Blessynta Christesa Serwin Gonzaga Rumagit Sofyana Ibrahim Stevanus Salmon Steven Pandelaki Tapidingan, Yohanes Christopher Tengor, Meirio R. Thomas Ch. Suwanto Vianry Teguh Pangemanan Vivie Kumenap Wikarsa, Liza Yohanes Christopher Tapidingan