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All Journal Seminar Nasional Informatika (SEMNASIF) Jurnal ULTIMATICS Reswara: Jurnal Pengabdian Kepada Masyarakat INTECH (Informatika dan Teknologi)
Lastri Widya Astuti
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : INTECH (Informatika dan Teknologi)

 1 
PENENTUAN TINGKAT KEKUMUHAN PERMUKIMAN KUMUH KOTA PALEMBANG DENGAN METODE ALGORITMA K-MEANS CLUSTERING DAN ALGORITMA ID3 Lastri Widya Astuti; Endah Puspita Sari; Imelda Saluza; Faradillah Faradillah; Rini Yunita
INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.102 KB) | DOI: 10.54895/intech.v2i1.869

Abstract

Slum settlers are a condition of uninhabitable settlements. Slums are devided into 4 levels, namely : high slums, medium, light and not slum. To produce these four levels, method is used namely K-Means Clustering Algorithm and the ID3 Algorithm is used to give priority with pre determined attributes then accumulated with the results of clustering classified as slum level. The accuracy test is performe by using the confusion matrix method, where the data results from the K-Means Clustering method compared to the baseline data. The results obtained from the accuracy with confusion matrix is 0,70%, which means the level of truth (accuracy) between the result of the baseline data with research data is 70%.
Penentuan Tingkat Kekumuhan Permukiman Kumuh Kota Palembang Dengan Metode Algoritma K-Means Clustering Dan Algoritma ID3 Lastri Widya Astuti; Endah Puspita Sari; Imelda Saluza; Faradillah Faradillah; Rini Yunita
INTECH (Informatika dan Teknologi) Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.869

Abstract

Slum settlers are a condition of uninhabitable settlements. Slums are devided into 4 levels, namely : high slums, medium, light and not slum. To produce these four levels, method is used namely K-Means Clustering Algorithm and the ID3 Algorithm is used to give priority with pre determined attributes then accumulated with the results of clustering classified as slum level. The accuracy test is performe by using the confusion matrix method, where the data results from the K-Means Clustering method compared to the baseline data. The results obtained from the accuracy with confusion matrix is 0,70%, which means the level of truth (accuracy) between the result of the baseline data with research data is 70%.
Co-Authors Dhamayanti Dhamayanti Endah Puspita Sari EVI YULIANTI Faradillah Faradillah Handayani T Imelda Saluza Imelda Saluza, Imelda Mustafa Ramadhan Putra Angga Rini Yunita