Please use this identifier to cite or link to this item: https://repository.uksw.edu//handle/123456789/23674
Title: Analisis Klasifikasi Jalan di Kota Wamena Menggunakan Metode K-Means Clustering
Other Titles: Analysis Classification of Roads in The Wamena City Using K-Means Clustering Method
Authors: Limba, Pathrisye Richendi
Keywords: K-means Clustering;roads condition;geographic;Earth Explore
Issue Date: 2019
Abstract: Abstract— This study discussed Wamena city’s road conditions and their geographical locations. The road condition. Data were obtained from Dinas Pekerjaan Umum dan Penataan Ruang Kota Wamena, while the geographical data was obtained from Earth Explore. The road conditions in Wamena are still in a long way from the word “proper” because many of them don’t receive a serious attention from the government. Likewise, the road locations in this city have not been fully met, for both the geographically closed and far roads. Therefore, in this study, the researcher aimed to classify the road conditions and their geographical locations as the contribution to the government. The study used K-means clustering method. The results show an error of 83.89% for roads data obtained from Dinas Pekerjaan Umum dan Penataan Ruang Kota Wamena, and geographically, 34 roads have been successfully processed using the Kmeans Clustering method and have 3 clusters, with 5 iterations: 1 st cluster only has 1 member, 2nd cluster has 2 members, and cluster 3th has 31 members.
URI: https://repository.uksw.edu/handle/123456789/23674
Appears in Collections:T1 - Mathematics

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