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All Journal Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat JSE Journal of Science and Engineering
Anugrah Yanti, Suci
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Engineering Mechanical Engineering Public Health Transportation

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Understanding Spatial Determinants of Urban Mobility in Makassar through Geographic Weighted Regression Irwan, Irwan; Anugrah Yanti, Suci; Akil, Arifuddin
JSE Journal of Science and Engineering Vol. 4 No. 1 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

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Abstract

Urban mobility patterns are influenced by a complex interplay of factors, including land use, population density, and socioeconomic conditions. This study aims to examine the spatial determinants of urban mobility in Makassar City, Indonesia, to guide targeted transportation and urban planning policies, using Geographically Weighted Regression (GWR). GWR is employed to account for spatial heterogeneity, as it captures localized variations in relationships unlike global regression models. The analysis incorporates travel time, travel cost, land use, population, and poverty data. Results indicate that the relationships between these variables vary significantly across different parts of the city. Land use, particularly the mix of residential, commercial, and industrial areas, emerges as a critical factor influencing travel patterns. Population density and poverty levels also shape mobility behaviors. The findings highlight the need for spatially targeted transportation policies and urban planning strategies to address the diverse mobility needs of Makassar's residents
Capacity Development for Geospatial Data Management in the Public Works Sector in Bulukumba Regency ., Irwan; Arifin, Mimi; Rachman Rasyid, Abdul; Veronica Natalia, Venny; Muh Asfan Mujahid, Laode; Mandasari Andi Munawarah Abduh, Jayanti; Anugrah Yanti, Suci; Sagita Alfadin Nur, Dewa; Wahyuni, Sri
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 8 No 2 (2025): Collaboration for Accelerated Community Achievement
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v8i2.619

Abstract

In the era of digital government transformation, the utilization of geospatial data has become pivotal for accurate, efficient, and integrated planning, monitoring, and evaluation of infrastructure development. However, the capacity of human resources—particularly within the Office of Public Works and Spatial Planning (PUTR) of Bulukumba Regency—in managing geospatial data remains limited. This constraint may hinder the optimization of location-based decision-making in public infrastructure development. In fulfillment of the university’s third pillar of higher education—community service—the Department of Urban and Regional Planning at Hasanuddin University conducted a collaborative community engagement activity under the Faculty of Engineering’s Community Service Learning Program (LBE). The initiative focused on enhancing the geospatial data management capacity of local government officials. The activity was held on September 15, 2025, at the PUTR Office of Bulukumba Regency and involved technical staff and geospatial data officers. The methodology combined theoretical instruction with hands-on simulation, including field data collection using mobile devices and point mapping, followed by spatial data processing using freely accessible Geographic Information System (GIS) software. The results indicate that participants demonstrated high engagement and successfully acquired foundational competencies in geospatial data management. Furthermore, the activity fostered strategic academic–government collaboration, opening avenues for joint research, the development of a regional geospatial information system (SIGD), and ongoing technical mentoring. Thus, this initiative not only strengthened local institutional capacity but also laid the groundwork for sustainable, data-driven infrastructure planning in Bulukumba Regency.
Co-Authors Arifin, Mimi Arifuddin Akil Irwan . Irwan Irwan Mandasari Andi Munawarah Abduh, Jayanti Muh Asfan Mujahid, Laode Rachman Rasyid, Abdul Sagita Alfadin Nur, Dewa Sri Wahyuni Veronica Natalia, Venny