Pahri, Aina
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ANALYSIS OF DISTRIBUTION PATTERNS AND ACCESSIBILITY PRATAMA CLINIC HEALTH INFRASTRUCTURE NANGGALO DISTRICT, PADANG CITY Pahri, Aina; afdhal, afdhal
JURNAL BUANA Vol 9 No 3 (2025)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol9-iss3/4091

Abstract

The pattern of distribution and accessibility of public health infrastructure in Nanggalo District will be easier to understand using spatial analysis. Analysis of distribution patterns and accessibility of primary clinic health infrastructure is needed for the purposes of supporting public health services. The nearest neighbor analysis method can be used in distribution patterns, buffers for service coverage and Network Service Area for travel distance. There are 6 Pratama clinics spread across Nanggalo District. Based on Nearest Neighbor calculations, the Pratama clinic distribution index was obtained with a value of 1.15, which had an uneven distribution pattern (random). Accessibility of pratama clinic services based on reach distance, the very close category with a distance of 0-100 m has an area of ​​16.25 ha (1.77%), the close category with a distance of 100-500 m has an area of ​​237.45 ha (25.92%), the medium category with a distance of 500-1000 m has an area of ​​375.21 ha (40.95%), and the far category with a distance of 1000-3000 m has an area of ​​287.35 ha (31.36%). Based on travel time, it takes 0-8 minutes to get to the nearest Pratama clinic from the residential area
GIS-Based Study on the Spatial Distribution Patterns of Public Senior High Schools in Pekanbaru City Pahri, Aina
Sumatra Journal of Disaster, Geography and Geography Education Vol. 8 No. 2 (2024): Sumatra Journal of Disaster, Geography and Geography Education (SJDGGE)
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sjdgge.v8i2.738

Abstract

This study analyzes the spatial distribution of public senior high schools in Pekanbaru City using a Geographic Information System (GIS) approach. Location data from 19 schools were collected through field surveys and analyzed using the Average Nearest Neighbour (ANN) method in ArcGIS. The analysis produced a Nearest Neighbour Ratio (NNR) of 1.44, with a significant z-score and p-value, indicating a dispersed distribution pattern. This means that schools are relatively spread across the city rather than concentrated in certain areas. Although this pattern suggests a degree of spatial balance at the city level, several districts still lack public senior high schools, showing that equitable access to upper secondary education has not been fully achieved. The findings emphasize the importance of integrating GIS and spatial analysis into education planning to support more equitable, efficient, and data-driven policies for school facility provision in growing urban areas.
GIS-Based Spatial Analysis of Public Service Equity for Secondary School Facility Planning in Padang City Pahri, Aina; Suasti , Yurni
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 10 No. 2 (2026): in Progress
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v10i2.8163

Abstract

The equitable distribution of educational facilities is essential for ensuring fair and quality access to education for all members of society. Spatial imbalances in facility distribution can create disparities in access, affecting learning opportunities and educational outcomes across administrative regions. This study analyzes distribution patterns and service coverage of educational facilities using a Geographic Information Systems (GIS)–based spatial approach. A quantitative design is employed, incorporating Nearest Neighbor Analysis to identify spatial distribution patterns, buffer analysis to assess service coverage, and spatial overlay between service areas and residential settlements to determine served and underserved zones. The findings show that educational facilities are spatially clustered in specific areas, indicating that current provision does not fully align with the principle of equitable service distribution. Coverage analysis further reveals that several residential areas fall outside the optimal service radius, highlighting significant spatial access gaps. These results demonstrate the effectiveness of GIS-based spatial analysis in identifying inequalities in facility distribution and evaluating educational service equity. Practically, the findings provide evidence-based guidance for policymakers to prioritize facility development in underserved areas and to design spatially targeted planning strategies that enhance equitable access to education.