Research Article
GIS-Based Spatial Mapping of Vocational Schools in Construction and Building Engineering
@INPROCEEDINGS{10.4108/eai.16-9-2025.2361072, author={Riansyah Putra and Naufal Tinov and Sutrisno Sutrisno and Wahyu Hutria and Mita Dwi Putri and Muh. Fisqi Dirga and Al Fatahillah and Benedikto Simanjuntak and Esan Elnatan Karo Sekali and Al-Qawi Addlu}, title={GIS-Based Spatial Mapping of Vocational Schools in Construction and Building Engineering}, proceedings={Proceedings of the 7th International Conference on Innovation in Education, Science, and Culture, ICIESC 2025, 16 September 2025, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2026}, month={3}, keywords={smk vocational school spatial distribution construction and building engineering gis}, doi={10.4108/eai.16-9-2025.2361072} }- Riansyah Putra
Naufal Tinov
Sutrisno Sutrisno
Wahyu Hutria
Mita Dwi Putri
Muh. Fisqi Dirga
Al Fatahillah
Benedikto Simanjuntak
Esan Elnatan Karo Sekali
Al-Qawi Addlu
Year: 2026
GIS-Based Spatial Mapping of Vocational Schools in Construction and Building Engineering
ICIESC
EAI
DOI: 10.4108/eai.16-9-2025.2361072
Abstract
This study aims to analyze the spatial distribution patterns of Vocational High Schools (SMK) specializing in Construction and Building Engineering in North Sumatra Province using Geographic Information Systems (GIS). This quantitative research involved a sample of 37 vocational schools distributed across various regions. The expertise programs offered in North Sumatra include: (1) Construction and Property Engineering, (2) Building Modeling and Information Design, and (3) Furniture Engineering. Data were collected through topographic maps (raster data), field surveys to obtain the geographical coordinates of each school, and attribute data comprising detailed school information. Descriptive analysis was conducted using ArcGIS 10.8 software to map school locations, along with Nearest Neighbor Analysis to determine the spatial distribution pattern. The results show a T-value of 0.867, which falls into the category of random distribution. This finding indicates that there is no significant concentration or clustering of SMK locations within this field of expertise. The results of this study can serve as a reference for spatially-based vocational education development planning to support equitable access and improve the quality of vocational education in North Sumatra Province.
