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Journal : Indonesian Journal of Instructional Media and Model

Augmented Reality for Student Learning Media: A Bibliometric Analysis and Visualization Singgih Subiyantoro; Baskoro Hadi; Eka Budhi Santosa; Oka Irmade; Fatma Sukmawati
Indonesian Journal of Instructional Media and Model Vol 3, No 2 (2021)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijimm.v3i2.2007

Abstract

Augmented Reality is a study that is now popular. Many researches theme have been published in various reputable journals. The purpose of this study is to provide an overview and visualization of Augmented Reality which is used as a medium of learning. This research is a qualitative research through descriptive analysis with literature review formed in bibliometric analysis which describes and visualizes ongoing phenomena as well as in the past regarding various topics related to Augmented Reality. Through the Scopus database source, there are 882 documents related to Augmented Reality were obtained from 2016 to 2020 and various data related to the number of documents by country, author, subject area, visualization of relationships between topics. Topics that are categorized as rare or have not been associated with AR will be an option for us to study more deeply so that it will give knowledge to the scientific of AR as a medium for student learning.
Analysis of The Characteristics of Teachers With High Internet Self-Efficacy Levels using The K-Means Algorithm Eka Budhi Santosa
Indonesian Journal of Instructional Media and Model Vol 4, No 1 (2022)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijimm.v4i1.2754

Abstract

The purpose of this study was to see the readiness of teachers in conducting online learning. The characteristics of the teachers collected in this study were gender, generation, last education, teacher tenure, learning environment and variations of online learning models. This study uses the K-Means algorithm for clustering. The dataset used in this study were 96 junior high school teachers in Central Java who had a high level of internet self-efficacy. The dataset of teachers who have a high level of internet self-efficacy is obtained from the results of data analysis on 285 junior high school teachers, who have varying levels of internet self-efficacy, both high, medium and low. The results of the K-Means analysis obtained 8 clusters with various characteristics of each cluster. The data attributes analyzed were gender, generation, last education, teacher tenure, learning environment and variations of online learning models. The results showed that in all data clusters were dominated by female gender with a bachelor's educational background. Meanwhile, the relatively more dominant characters in all clusters are generation X data, teacher tenure between 11 and 20 years, a supportive learning environment, and data on the use of varied learning models.