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All Journal Indonesian Journal of Geography Journal of Education and Learning (EduLearn) Indonesian Journal of Electrical Engineering and Computer Science
Junaini, Syahrul Nizam
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Humanities Earth & Planetary Sciences Education Library & Information Science Social Sciences Other

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Gamification and technology acceptance model: a systematic review and future research directions Kalana, Mohd Hazim Afiq; Junaini, Syahrul Nizam
Journal of Education and Learning (EduLearn) Vol 19, No 3: August 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v19i3.22154

Abstract

Technological advancements have popularized "gamification" in recent years, yet few studies have explored its connection to the technology acceptance model (TAM). This paper aims to enhance understanding of the relationship between gamification and TAM by systematically reviewing current research trends. Employing a systematic literature review (SLR) method, we analyzed 72 papers identified via Scopus, focusing on 13 journal papers published between 2016 and 2020 that met our criteria for in-depth analysis. Our findings indicate a significant rise in research on gamification and TAM, with nearly half of the studies (49%) incorporating new external variables into the original TAM framework. The study identifies three key themes for future research. By providing a comprehensive review, this study contributes new knowledge and offers a critical summary for further investigation into the integration of gamification with TAM, highlighting potential avenues for future research and practical application.
Integrating gamification to increase users’ engagement to adhere COVID-19 interventions using extended TAM Afiq Kalana, Mohd Hazim; Junaini, Syahrul Nizam; Jali, Suriati Khartini; Rosmansyah, Yusep; Putri, Atina; Kamal, Ahmad Alif
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i3.pp1936-1945

Abstract

Gamification has shown potential for enhancing motivation and engagement, yet its effectiveness in promoting adherence to COVID-19 preventive measures remains underexplored. With decreasing public attentiveness, this study examines the role of gamification in encouraging compliance with health protocols through an extended technology acceptance model (TAM) and structural equation modeling (SEM). A gamified mobile application was developed, incorporating features such as points, badges, and progress tracking, and was designed to appeal to younger audiences. Data collected from 150 secondary school students in Sarawak, Malaysia, indicated that perceived usefulness, perceived ease of use, and attitude toward the app significantly influenced engagement with COVID-19 preventive measures. Among these factors, perceived usefulness demonstrated the strongest effect on engagement (β = 0.424, t = 4.812, p < 0.001). The findings highlight the potential of gamification to enhance compliance with COVID-19 protocols.
Analyzing Burglary Dynamics through Land Use in Selangor, Kuala Lumpur, and Putrajaya: A Space-Time EHSA Approach Ahmad, Azizul; Masron, Tarmiji; Junaini, Syahrul Nizam; Jamian, Mohd Azizul Hafiz; Barawi, Mohamad Hardyman; Kimura, Yoshinari; Jubit, Norita; Rainis, Ruslan
Indonesian Journal of Geography Vol 57, No 2 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.101678

Abstract

In response to the escalating incidence of burglary incidents in rapidly urbanizing metropolitan regions, this study innovatively integrates Emerging Hot Spot Analysis (EHSA) with Space-Time Pattern Mining (STPM) to examine the spatio-temporal dynamics of burglary across Selangor, Kuala Lumpur Federal Territory (KLFT) and Putrajaya Federal Territory (PFT) between 2015 and 2020. This paper aims to delineate the intricate interplay between urban land use configurations and the evolving patterns of burglary, thereby addressing critical research gaps in crime mapping and predictive resource allocation. The research employed robust methodological framework within the ArcGIS Pro 3.1 environment, the research stratifies crime data into four distinct temporal intervals to construct space-time netCDF cubes, applies the Getis-Ord Gi* statistic with False Discovery Rate (FDR) correction to identify statistically significant clusters, and utilizes the Mann-Kendall trend test to classify hotspots into eight categories (new, consecutive, intensifying, persistent, diminishing, sporadic, oscillating, and historical). The results reveal a nuanced spatial clustering of burglary incidents that is significantly influenced by varied land use types—ranging from residential and industrial zones to open spaces—thereby enhancing the granularity of hotspot detection and offering empirical insights into the temporal evolution of crime patterns. The study dinds that the integration of advanced geospatial analyses not only clarifies the complex dynamics between urban morphology and burglary occurrences but also provides a solid empirical basis for informed law enforcement and urban planning strategies. Moreover, these findings underscore the need for ongoing longitudinal investigations and the development of adaptive, data-driven models to refine predictive capabilities further and foster sustainable urban safety initiatives.
Co-Authors Afiq Kalana, Mohd Hazim Ahmad, Azizul Barawi, Mohamad Hardyman Jali, Suriati Khartini Jamian, Mohd Azizul Hafiz Jubit, Norita Kalana, Mohd Hazim Afiq Kamal, Ahmad Alif Kimura, Yoshinari Masron, Tarmiji Putri, Atina Rosmansyah, Yusep Ruslan Rainis