Augmented Reality Technology for Learning Shalah

Yuliharti, None; Yasnel,; Agustiar,; Andhi, Rahmat Rizal; Yendra, Rado; Mahdini,; Fudholi, Ahmad

doi:10.35940/ijitee.i8806.078919

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…The finding of this study shows that AR enhances the understanding of prayer in Muslim Community. Another tool proposed to encourage children to learn salah in [8], [13]. Reference from Setiawan [7] offers an AR-based app for learning wudhu (ablution).…”

Section: Related Workmentioning

confidence: 99%

Implementation of Augmented Reality in Introducing Islamic Pillars Appication for Young Children

Cahyana¹,

Mandasari²,

Prawita³

et al. 2021

Proceedings of the 5th International Conference on Early Childhood Education (ICECE 2020)

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Augmented reality (AR) is an emerging technology that is applied in various fields. It is believed that AR technology is mostly utilised in the education area. However, the utilization of AR in Islamic learning for early age children is still rare. This paper presents the development of a mobile AR-based application to introduce children to the five pillars of Islam. The development is following ADDIE's framework and the initial evaluation of this app is also presented.

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Section: Related Workmentioning

confidence: 99%

Implementation of Augmented Reality in Introducing Islamic Pillars Appication for Young Children

Cahyana¹,

Mandasari²,

Prawita³

et al. 2021

Proceedings of the 5th International Conference on Early Childhood Education (ICECE 2020)

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Moslem Prayer Monitoring System Based on Image Processing

Alfarizal¹,

Lutfi²,

Husni³

et al. 2023

Atlantis Highlights in Engineering

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Analysis of Traffic Accident Patterns Using Association Rule Mining

Pranata,

Kurniawan,

Negara

et al. 2024

intij

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This study analyzed the levels of minor, moderate, and severe traffic accidents in the Palembang Police area from 2015 to 2020 using association rule mining and the apriori algorithm. The study established valuable insights into accident trends and contributing factors by leveraging traffic accident data and determining variable relationships. With a minimum support threshold of 0.05 and a confidence value of 0.5, the processed data revealed 349 total incidents, categorized as follows: 58 minor accidents (16.62%), 168 moderate accidents (48.14%), and 123 severe accidents (35.24%). The findings highlight that moderate-level accidents form the majority, underlining the need for targeted interventions in this category. The application of the apriori algorithm facilitated the identification of frequent itemsets and rules that reveal patterns across accident variables, such as road conditions, road functions, accident types, weather conditions, and victim statuses. This study also demonstrated the practicality of the apriori algorithm in analyzing extensive datasets to extract actionable insights. The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. For example, analyzing variables at different accident levels allows policymakers to identify critical factors contributing to accidents, implement tailored safety measures, and prioritize infrastructure improvements. Furthermore, the study emphasizes the potential of data-driven traffic management and accident prevention approaches. By incorporating modern data mining techniques, stakeholders can transition from traditional data recapitulation to predictive analytics, enabling proactive measures for public safety. Future research can build upon this work by integrating real-time data sources, such as IoTbased traffic monitoring systems, to enhance the prediction accuracy and scope of analysis. Further exploration of mid- and low-confidence rules may provide insights into rare but critical patterns, offering a more comprehensive understanding of accident dynamics. Overall, this research is crucial to leveraging advanced computational methods for public safety and traffic accident reduction, aligning with global efforts to improve road safety and minimize fatalities.

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Augmented Reality Technology for Learning Shalah

Cited by 3 publications

References 5 publications

Implementation of Augmented Reality in Introducing Islamic Pillars Appication for Young Children

Implementation of Augmented Reality in Introducing Islamic Pillars Appication for Young Children

Moslem Prayer Monitoring System Based on Image Processing

Analysis of Traffic Accident Patterns Using Association Rule Mining

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