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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) GeoEco
Fitria Dewi Kartika
Universitas Sebelas Maret
Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Social Sciences

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PERCEPTION OF THE ONLINE LEARNING PROCESS OF SEBELAS MARET UNIVERSITY STUDENTS IN THE COVID-19 PANDEMIC ERA Lintang Ronggowulan; Anton Subarno; Sutarno Sutarno; Sarjoko Lelono; Hikari Dwi Saputro; Fitria Dewi Kartika
GeoEco Vol 9, No 1 (2023): GeoEco January 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i1.56494

Abstract

The impact of pandemic Covid-19 is requires all of humanity to carry out social distancing and maintain a distance. As a result of these restrictions, many sectors are affected. One of the most significantly affected sectors is the education sector. In the learning process in the education sector distance learning is applied with the Online system.This distance learning system has also been implemented at Sebelas Maret University Surakarta (UNS) since March 2020. This study aims to determine the perception of the online learning process of UNS students. The method used in this research is a qualitative descriptive method using purposive sampling (active students who take part in learning at UNS). As for the results of this study, it can be seen that from a total of 13 questions in the online learning perception instrument, 62% of the total questions stated that students had difficulties in online learning and there were 38% of the total questions regarding the ease of online learning. So it can be said that the respondents found it difficult and experienced problems in carrying out online learning at UNS like difficult for me to understand the concept and didn’t have good internet access.
A bibliometric analysis of artificial intelligence applications in geospatial and geographic intelligence Chatarina Muryani; Singgih Prihadi; Gentur Adi Tjahjono; Albertus Erico Jerry Krisna Nugroho; Fitria Dewi Kartika
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i4.pp3036-3052

Abstract

This study presents a comprehensive bibliometric analysis of the application of artificial intelligence in geospatial research and geographic intelligence. Using the Scopus database and visualization tools such as VOSviewer and Microsoft Excel, this study systematically maps the scientific literature across the five analytical dimensions: publication trends, citation structure, co-citation patterns, bibliographic merging, and keyword co-occurrence. The findings indicate a significant increase in global research interest, especially after 2020, with major contributions from the United States, China, and the United Kingdom. The results also reveal thematic clusters ranging from remote sensing and disaster response to smart city planning and spatial prediction. Through science mapping and performance analysis, the study highlights the intellectual structure and conceptual evolution of the field. The study contributes to academic understanding by identifying research gaps, emerging themes, and collaboration patterns, which can guide future interdisciplinary research in the artificial intelligence and geospatial domain.
Co-Authors Albertus Erico Jerry Krisna Nugroho Anton Subarno Chatarina Muryani Gentur Adi Tjahjono Hikari Dwi Saputro Lintang Ronggowulan Sarjoko Lelono Singgih Prihadi Sutarno Sutarno