cover
Contact Name
Jufriadif Na`am
Contact Email
jufriadifnaam@upiyptk.ac.id
Phone
+6287895670026
Journal Mail Official
ajarcde.safenetwork@gmail.com
Editorial Address
Faculty of Agricultural Technology. Andalas University. Limau Manis Campus, Padang. Indonesia 25163
Location
Kota padang,
Sumatera barat
INDONESIA
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment)
ISSN : 25810405     EISSN : 25810405     DOI : https://doi.org/10.29165
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) publishes papers on innovative applications, development of new technologies, and efficient solutions in agriculture, engineering, computing, economic, social, information technology, food, energy, and scientific research to improve knowledge and practice in the field of purposive community change: Rural and community development, geography and regional planning, rural cooperatives, community health; capacity building, social work, community empowerment, sustainable development, human resource development; social capital, economic development, urban studies, student community service activities, and relevant subjects. The Asia Pacific Network for Sustainable Agriculture, Food, and Energy (SAFE-Network) is a peer-reviewed journal that publishes AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment). The objective of AJARCDE is to provide a forum for studying and applying research in community development and empowerment studies. This unique interdisciplinary journal covers a range of research methods, including: - Case studies - Comparative studies - Community-based participatory or action research - Examine community problem - Policy Analysis - Program evaluation - Survey research - Theory and model development
Articles 892 Documents
Road Surface Distress Analysis Using Bina Marga Method and GIS on Ngimbang–Sambeng Road Section, Lamongan Muhammad Rafli Bimo Prasetyo; Fithri Estikhamah; Bagas Aryaseta
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 1 (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.v10i1.954

Abstract

Roads are critical land transportation infrastructure that support community mobility, the movement of goods and services, and regional economic development. Increasing traffic volume and road utilization intensity often accelerate pavement deterioration, which is manifested in various forms of surface distress. Therefore, a systematic assessment of road conditions is essential to identify the extent of damage and determine appropriate maintenance priorities. This study aims to evaluate pavement damage using the Bina Marga method and to map road condition spatially using a Geographic Information System (GIS) on the Ngimbang–Sambeng Road Section in Lamongan Regency. The studied road section has a total length of 7.19 km and was divided into eight segments for analysis. The research employed a visual pavement survey to identify the types and dimensions of distress, complemented by a traffic survey to determine the Average Daily Traffic (ADT). The results show that the road section falls into traffic class 6, with an average pavement damage percentage of 23.7%. The dominant distress types identified were alligator cracking, longitudinal cracking, potholes, and surface deformation. Based on the Bina Marga analysis, the road condition value ranged from 4 to 8, while the priority ranking value ranged from 3 to 7. The findings indicate that the appropriate treatment strategies include routine maintenance, periodic maintenance, and road improvement for specific segments. Furthermore, GIS-based mapping provides a clear spatial visualization of pavement damage distribution, which can support more effective and data-driven decision-making for road maintenance and rehabilitation planning. Contribution to Sustainable Development Goals (SDGs):SDG 3: Good Health and Well-BeingSDG 9: Industry, Innovation and InfrastructureSDG 11: Sustainable Cities and Communities
Pavement Condition Analysis Using PCI Method and GIS on the Gayam–Sidorejo Road Segments, Kediri Moch. Syahrul; Fithri Estikhama; Bagas Aryaseta
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 1 (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.v10i1.958

Abstract

Road pavement deterioration significantly reduces service performance, driving comfort, and traffic safety, making accurate pavement condition evaluation essential for effective maintenance planning. This study aimed to assess pavement condition using the Pavement Condition Index (PCI) method and to map the spatial distribution of pavement distress using Geographic Information Systems (GIS) along the Gayam–Sidorejo road segments in Kediri Regency, Indonesia. Data were collected through field surveys by identifying the type, severity, and dimensions of pavement distress in each sample unit. For systematic analysis, the road was divided into nine segments. PCI values were calculated based on deduct value (DV) and corrected deduct value (CDV) procedures. The results showed that the average PCI value was 48.09, indicating poor pavement condition overall. The lowest PCI value was recorded in Segment 6 (36.2), which was categorised as very poor and requiring structural rehabilitation, while the highest PCI value was recorded in Segment 9 (63.0), which was categorised as fair and requiring routine maintenance. GIS-based mapping using ArcGIS effectively visualized the spatial distribution of pavement conditions across the study area. These findings provide useful information for identifying maintenance priorities and supporting more effective pavement management strategies. Contribution to Sustainable Development Goals (SDGs):SDG 8  : Decent Work and Economic GrowthSDG  9 : Industry, Innovation, and InfrastructureSDG 11: Sustainable Cities and Communities