The implementation of new minister of religion of Brunei, Indonesia, Malaysia, and Singapore criteria towards the Hijri calendar unification

Mufid, Abdul; Djamaluddin, Thomas

doi:10.4102/hts.v79i1.8774

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…This new MABIMS criterion mentions criteria in the form of hilal height of 3 o and elongation angle of 6.4 o . [3]- [5] The establishment of this new criterion is actually the result of an agreement between MABIMS member countries (Forum of Ministers of Religious Affairs of Brunei Darussalam, Indonesia, Malaysia, and Singapore) during Muzakarah Rukyat and Takwim Islam on 2-4 August 2016 to change the old criteria (2,3,8) with new criteria (3, 6.4) [6].…”

Section: A Introductionmentioning

confidence: 99%

The Urgency and Contribution of Information Technology in Verifying the Beginning of Shubuh Time and the Height of Hilal Determining the Beginning of the Hijri Month

2023

al-marshad.j.astronomi.n.a.dan.ilmu-ilmu.berkaitan

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Article InfoThe sun's altitude of -20° as a reference for determining the beginning of shubuh time used by the Ministry of Religious Affairs is questionable. Meanwhile, in terms of hilal height as one of the criteria for determining the beginning of the Hijri month, the Ministry of Religion has also undergone adjustments and changes in 2022. The new criteria of MABIMS mention criteria in the form of a hilal height of 3° and an elongation angle of 6.4°. This research answers two formulations of problems, first, the urgency of information technology in determining the criteria for the beginning of dawn and the criteria for determining the beginning of the Hijri month in Indonesia. Second, the extent of the contribution of information technology in determining the criteria for dawn and the criteria for determining the beginning of the Hijri month in Indonesia. Analytical descriptive methods with fiqh and scientific approaches are used to answer both formulations of the problem. The study produced two findings. First, according to Islamic law, the presence of digital-based information technology is considered legal to be used and utilized to provide certainty and trust in Islamic legal products. Secondly, technology has made a major contribution in verifying dawn criteria and establishing new criteria of MABIMS.

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Section: A Introductionmentioning

confidence: 99%

The Urgency and Contribution of Information Technology in Verifying the Beginning of Shubuh Time and the Height of Hilal Determining the Beginning of the Hijri Month

2023

al-marshad.j.astronomi.n.a.dan.ilmu-ilmu.berkaitan

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Hijri Month Determination in Southeast Asia: An Illustration Between Religion, Science, and Cultural Background

Mohd Nawawi,

Faid,

Saadon

et al. 2024

Heliyon

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Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction

Loucif,

Al-Rajab,

Abu Zitar

et al. 2024

J Big Data

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This paper presents a comprehensive approach to harmonizing lunar calendars across different global regions, addressing the long-standing challenge of variations in new crescent Moon sightings that mark the beginning of lunar months. We propose a machine learning (ML)-based framework to predict the visibility of the new crescent Moon, representing a significant advancement toward a globally unified lunar calendar. Our study utilized a dataset covering various countries globally, making it the first to analyze all 12 lunar months over a span of 13 years. We applied a wide array of ML algorithms and techniques. These techniques included feature selection, hyperparameter tuning, ensemble learning, and region-based clustering, all aimed at maximizing the model's performance. The overall results reveal that the gradient boosting (GB) model surpasses all other models, achieving the highest F1 score of 0.882469 and an area under the curve (AUC) of 0.901009. However, with selected features identified through the ANOVA F-test and optimized parameters, the Extra Trees model exhibited the best performance with an F1 score of 0.887872, and an AUC of 0.906242. We expanded our analysis to explore ensemble models, aiming to understand how a combination of models might boost predictive accuracy. The Ensemble Model exhibited a slight improvement, with an F1 score of 0.888058 and an AUC of 0.907482. Additionally, the geographical segmentation of the dataset enhanced predictive performance in certain areas, such as Africa and Asia. In conclusion, ML techniques can provide efficient and reliable tool for predicting the new crescent Moon visibility that would support the decisions of marking the beginning of new lunar months.

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The implementation of new minister of religion of Brunei, Indonesia, Malaysia, and Singapore criteria towards the Hijri calendar unification

Cited by 3 publications

References 19 publications

The Urgency and Contribution of Information Technology in Verifying the Beginning of Shubuh Time and the Height of Hilal Determining the Beginning of the Hijri Month

The Urgency and Contribution of Information Technology in Verifying the Beginning of Shubuh Time and the Height of Hilal Determining the Beginning of the Hijri Month

Hijri Month Determination in Southeast Asia: An Illustration Between Religion, Science, and Cultural Background

Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction

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