INNOVATION IN OPEN-DISTANCE LEARNING: GEOSPATIAL TECHNOLOGY OF QUANTUM GIS (QGIS)

Abstract

This article aims to explore the use of Geographic Information System-based applications namely Quantum GIS (QGIS), an open-source geospatial technology, in supporting new research and innovation in Open and Distance learning / ODL. ODL faces challenges in the accurate and efficient distribution and analysis of geospatial data. Geospatial technologies such as QGIS offer solutions that can optimize the process of data collection, analysis, and visualization for educational purposes, especially in diverse geographical and demographic contexts. This study uses the literature review method to review various studies that have used QGIS in geospatial data analysis. The main focus is on QGIS's ability to analyze vector, raster, and attribute data to support decision-making in distance education. The results of the literature review show that QGIS allows for a clearer and more structured visualization of the geographical distribution and accessibility of education. QGIS is capable of performing vector data analysis through conversion, data management, 3D analysis, and network analysis with the help of plugins such as QuickOSM, qgis2threejs, and MMQGIS. QGIS supports remote sensing analysis, data management, and interpolation using plugins such as Dzetsaka and Free-hand Raster Geo-referencer. Meanwhile, attribute data analysis is facilitated by table conversion and editing with plugins such as Profile Tool and Travel Time. Plugins such as qgis2web and Quickmapservices also play an important role in interactive data visualization and access to base maps. Using QGIS as an open-source geospatial technology in open-distance education research provides significant benefits in terms of efficiency, accuracy, and ease of data analysis. The implementation of QGIS is expected to improve the quality and equality of education in various regions by utilizing geospatial data effectively.