Penentuan Prioritas Perbaikan Jalan Menggunakan Fuzzy C-Means : Studi Kasus Perbaikan Jalan Di Kota Samarinda

Priority Road Restoration Classification Using Fuzzy C-Means: A Case Study In Samarinda City

*Novianti Puspitasari -  Department of Informatics, Universitas Mulawarman, Indonesia
Rosmasari Rosmasari -  Department of Informatics, Universitas Mulawarman, Indonesia
Stefanie Stefanie -  Department of Informatics, Universitas Mulawarman, Indonesia
Received: 7 Dec 2016; Published: 30 Jan 2017.
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In Volume 5, Nomor 1, Tahun 2017 (Januari 2017)
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Abstract

One of the factors traffic accidents is caused by a damaged road. Therefore, road improvements based on the priorities scale is indispensable. This study implements the Fuzzy C-means method. The method is capable of classifying data based on the characteristics. The results showed that the FCM algorithm was able to classify the road improvements into four groups; 1, 2, 3, and 4 priorities. Based on the test results the accuracy of calculations on the data of road damage, there are 8 correct data from 9 trial data or 88.89%, which indicates that the method FCM clustering results and a precise calculation.

Keywords
fuzzy C-Means;damaged road;fuzzy clustering

Article Metrics:

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