Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment)
Cahya, Maulana Zidan Dwi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Education Energy Environmental Science

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
GIS-Based Evaluation of Flexible Pavement Condition in Kediri Using Surface Distress Index Method Cahya, Maulana Zidan Dwi; Hendrata Wibisana; Fatikasari, Aulia Dewi
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.984

Abstract

Road infrastructure is a vital component in supporting regional economic growth and social connectivity, including the Gayam–Sidorejo road section in Kediri District, which functions as a primary collector road. This study aims to identify pavement distress along the 8.383 km Gayam–Sidorejo road segment, determine its functional condition using the Surface Distress Index (SDI) method, and visualize the spatial distribution of the distress through Geographic Information System (GIS) mapping. The methodology involved primary data collection through field visual surveys to identify distress parameters, including crack area, crack width, number of potholes, and rutting depth, in accordance with the guidelines of the Directorate General of Bina Marga. These data were then integrated into a spatial database using ArcGIS software to produce thematic maps of road conditions. The evaluation results show that the SDI values for the Gayam–Sidorejo road section range from 10 to 45. The lowest SDI value of 10 was recorded at STA 2+000–2+500, while the highest value of 45 was found at several locations, including STA 1+000–1+500 and STA 8+000–8+383. Based on the analysis, all road segments are classified in "Good" condition. Consequently, the recommended treatment program for the entire corridor is Routine Maintenance. The integration of the SDI method into GIS proved effective in transforming tabular data into dynamic visual representations, facilitating the analysis of distress patterns and supporting more efficient decision-making in road maintenance management. Contribution to Sustainable Development Goals (SDGs):SDG 9: Industry, Innovation, and InfrastructureSDG 11: Sustainable Cities and Communities
Co-Authors Fatikasari, Aulia Dewi Hendrata Wibisana