Data Mining Applied for Performance Index Prediction in Highway Long Segment Maintenance Contract

Rifai, A.I. and Handayani, S. and Lita, M. (2018) Data Mining Applied for Performance Index Prediction in Highway Long Segment Maintenance Contract. Proceedings ITISE. pp. 444-456.

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Abstract

The dynamics of the national road service level in Indonesia was quite high. There is a significant difference between segments and different areas, even within the same area there is a different variation of level service. These condi�tions encourage the Directorate General Highway to make up a new concept, by doing a long segment contract that handles national road in a single integrated contract. However, the limited budget and the poor handling of distribution pat�tern will cause a bad implementation of a long segment contract. Two-objective optimization models consider maximum Performance Index and minimum maintenance cost. The study was conducted on the entire national road network in the Jakarta Metropolitan 1 are paved with the flexible pavement. In the pro�posed approach, data mining models are used to predicting the performance index over a given period of time. Preventive maintenance is chosen in this study. Multi-objective optimization models were developed based on the Simplex Method. The limited budget and effective targets are the two constraints in the developed models. Based on the R-Tools result, the optimal solutions of the two objective functions are Obtained. From the optimal solutions represented by in�dex performance and cost, an agency more Easily Obtain the information of the maintenance planning. The result of the proposed development models can pro�vide the optimal budget distribution for each segment in a long segment contract. Keywords: Data Mining, Long Segment, Preventive Maintenance, Perfor�mance Index

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