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The Effectiveness of Augmented Reality Historical Site Learning on Students’ Digital Literacy and Learning Motivation: An Experimental Study Nur Qodriah Syafitri; Nur Afina Inaya Devi; Ince Nisa’ul Khumairah Shaleh; Alfian Jimran; Hamriani; Alma Paramita
Information Technology Education Journal Vol. 3, No. 1, Januari (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v3i1.02423

Abstract

This study investigates the effectiveness of Augmented Reality (AR) historical sites in enhancing digital literacy and learning motivation among secondary school students. Despite the increasing integration of technology in education, the impact of AR on students’ engagement with history content and their ability to navigate digital tools remains underexplored. This research addresses this gap by examining how AR-based interventions support meaningful learning and promote interest in history. An experimental study was conducted with 120 secondary school students divided into control and experimental groups. The experimental group engaged with AR historical sites through mobile and tablet applications, combined with interactive timelines, while the control group used traditional learning methods. Pre- and post-tests measured digital literacy and learning motivation, and questionnaires assessed user experience and engagement. Statistical analyses, including paired t-tests and ANCOVA, were performed to evaluate differences between groups. The results indicate that students in the AR-based learning group showed a significant increase in digital literacy scores (mean increase = 18%, p < 0.01) and learning motivation (mean increase = 21%, p < 0.01) compared to the control group. Students reported higher engagement and improved ability to navigate and interpret historical content through AR visualizations and interactive timelines. This study demonstrates the potential of AR for history education, suggesting that immersive technologies can strengthen both content understanding and digital competencies. Limitations include the study’s short intervention period and single-school sample, limiting generalizability. The study contributes empirical evidence supporting AR integration in history classrooms, highlighting its role in fostering digital literacy and motivation. Future research may explore longitudinal impacts, scalability across diverse curricula, and integration with collaborative learning strategies.
The Effect Of Providing Credit To The Sehati Manipi Tassililu Saving And Loan Cooperative On The Income Levels Of Small Traders In West Sinjai Subdistrict Sinjai District Nur Qodriah Syafitri; Risma Niswaty; Andi Muhammad Rivai
Public Resource Innovation Management and Excellence June 2026, Volume 3 Number 2
Publisher : CV.Andalan Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/prime.v3i2.67

Abstract

This study aims to determine the effect of giving credit to the savings and loan cooperative Sehati Manipi Tassililu on the income level of small traders in West Sinjai Sub District, Sinjai District. This study uses a type of quantitative through observation, documentation, and distributing questionnaires as the data collection techniques. The sampling technique used was random sampling method with a total sample of 85 respondents. The data obtained from the results of the research were processed using data analysis and the help of the SPSS version 25 program which consisted of validity tests, reliability tests, descriptive statistical analysis, as well as inferential statistical analysis techniques. The results of this study show that the indicators used for each of these variables indicate that the provision of credit to the SehatiManipi Tassililu savings and loan cooperative is in the very good category. Meanwhile, indicators on the variable income level of small traders is in the very high category. In addition, based on the results of the coefficient of determination test, there is a strong/high influence of 53.3% between the two variables.