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Cost Modeling of Road Maintenance Using the Cost Significant Method in Disaster Prone Areas of Solok Regency Lucky Ramanur Sukandar; P Purnawan; Elsa Eka Putri
JACEE (Journal of Advanced Civil and Environmental Engineering) Vol 9, No 1 (2026): April
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jacee.9.1.29-42

Abstract

This study aims to develop cost model for a periodic road maintenance project. The background is the lack of a simple and accurate calculation method to estimate the cost of the work. The model was developed using the Cost Significant Model (CSM) method and multiple linear regression, using historical data of periodic road maintenance work contracts at the Public Works and Spatial Planning Agency (DPUPR) of Solok Regency for the period 2018–2023. The analysis results show that the most significant work on the project cost is K-175 shoulder concrete, Class A Aggregate Foundation Layer (LPA), and Asphalt Concrete-Wearing Course (AC-WC). The resulting cost estimation model is Y = 4,531.24 + 1.19 X₁₄ + 1.35 X₁₅ + 1.43 X₁₉, with Y as the project cost per m², X₁₄ the price of K-175 shoulder concrete per m², X₁₅ the price of Class A LPA per m², and X₁₉ the price of AC-WC per m². This model has an average CMF value of 1.004 and a model deviation of 2.965%, much more accurate than the estimation method currently used by the Highways Division of the DPUPR of Solok Regency which has an average deviation of 29.951%. Thus, the developed CSM model is proven to be more accurate and suitable for estimating the costs of periodic road maintenance projects in Solok Regency.
Development of a Road Infrastructure Index Model Integrating Disaster Parameters: A Case Study of Solok Regency Rifki Muchni; P Purnawan; Elsa Eka Putri
JACEE (Journal of Advanced Civil and Environmental Engineering) Vol 9, No 1 (2026): April
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jacee.9.1.16-28

Abstract

The road network is a crucial infrastructure that supports mobility and economic activity in a region. In Solok Regency, various issues related to the quality and equity of road network services remain a major challenge, primarily due to the lack of road performance evaluation that considers efficiency, effectiveness, and the impact of natural disasters. This study aims to develop a Road Infrastructure Index (RII) integrated with disaster parameters and predict future RII values. The research method used is a quantitative approach with primary data collection through questionnaires and interviews with stakeholders in the road infrastructure sector, as well as secondary data from relevant agencies. Reliability and validity tests were conducted to verify the consistency and accuracy of the questionnaire. Regression analysis was conducted to determine the model constants. The results of the study obtained a model that can be used to calculate and predict the value of the Road Infrastructure Index. Based on the predicted RII value results in Solok Regency, it was found that the RII value in the coming year will experience a decline.