Global Hijriyah Calendar As Challenges Fikih Astronomy

Maskufa, Maskufa

doi:10.2991/iclj-17.2018.39

Cited by 3 publications

(2 citation statements)

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“…There are many other calendars on the basis of different visibility or presence criteria of new moon e.g. [6] and [7]. The Ministry of Science and Technology, Pakistan has also issued a criterion and a calendar [8].…”

Section: Figure 1: New Moon and Crescent Formationmentioning

confidence: 99%

Predicting the Visibility of the First Crescent

Ahmed¹

2018

KJCIS

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This study presents an application of machine learning to predict whether the first crescent of the lunar month will be visible to naked eye on a given date. The study presents a dataset of successful and unsuccessful attempts to find the first crescent at the start of the lunar month. Previously, this problem was solved by analytically deriving the equations for visibility parameter(s) and manually fixing threshold values. However, we applied supervised machine learning on the independent variables of the problem, and the system learnt about the criteria of classification. The system gives precision of 0.88 and recall of 0.87 and hence it treats both false positives and false negatives equally well.

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Section: Figure 1: New Moon and Crescent Formationmentioning

confidence: 99%

Predicting the Visibility of the First Crescent

Ahmed¹

2018

KJCIS

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“…A study produced findings on the importance of standardizing the basis for calculating each country's beginning of the Hijriyah month or the unification of the world Islamic calendar (Ilyas, 2016). Another study puts more emphasis on the aspect of fiqh, namely astronomical fiqh, especially relating to the time of worship, which is based on the movement of the moon and sun (Angkat, 2017;Maskufa, 2018). Fadholi (2018) research indicated that Islamic organizations in Indonesia emphasize the criteria for the visibility of the hilāl of MABIMS as a guide in preparing the Hijri calendar in Indonesia.…”

Section: Introductionmentioning

confidence: 99%

Implementation of the New MABIMS Crescent Visibility Criteria: Efforts to Unite the Hijriyah Calendar in the Southeast Asian Region

Maskufa

Sopa

Hidayati

et al. 2022

AHKAM:Jurnal Ilmu Syariah

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This paper discussed the implementation of the new MABIMS hilāl visibility criteria in the unification of the Hijriyah calendar in member countries (Malaysia, Brunei, Indonesia and Singapore). This research uses the approach of Astronomy and Grindle's theory of policy implementation. The data source comes from the MABIMS Muzakarah results document and related articles. The research results indicate that the new MABIMS moon crescent visibility criteria are part of a public policy that, in its implementation, requires two mutually supportive variables. First, the content of the policy in the form of the moon crescent visibility criteria (3⁰; 6.4⁰) was accepted by all member countries through the signing of an ad referendum on 8 December 2021. This acceptance will receive public support if it is beneficial to time management. Second, the context of implementation is carried out in stages by taking into the characteristics of the institutions involved in preparing the Hijriyah calendar. At the practical level, the policy can be well received by the public, except in Indonesia, which still faces obstacles. This is due to the policy in the three countries being carried out on a top-down basis, while in Indonesia, it is carried out on a bottom-up basis. Furthermore, determining of Ramadan, Shawwal, and Zulhijjah are still waiting for confirmation of the sighting of the moon (ru’yah). It related to the domination of ru’yah, and a strong distinction between the function of the calendar in civil administration and worship practice. Abstrak Makalah ini membahas penerapan kriteria baru visibilitas hilalMABIMS dalam penyatuan penanggalan Hijriyah di negara-negara anggota(Malaysia, Brunei, Indonesia dan Singapura). Penelitian ini menggunakanpendekatan penerapan kebijakan Astronomi dan teori Grindle. Sumber databerasal dari dokumen hasil Muzakarah MABIMS dan artikel terkait. Hasilpenelitian menunjukkan bahwa kriteria baru visibilitas hilal MABIMS merupakanbagian dari kebijakan publik yang dalam pelaksanaannya membutuhkandua variabel yang saling mendukung. Pertama, isi kebijakan berupa kriteriavisibilitas bulan sabit (3⁰; 6.4⁰) diterima oleh seluruh negara anggota melaluipenandatanganan referendum pada 8 Desember 2021. Penerimaan ini akanmendapat dukungan publik jika bermanfaat hingga manajemen waktu. Kedua,konteks pelaksanaannya dilakukan secara bertahap dengan memperhatikankarakteristik lembaga yang terlibat dalam penyusunan penanggalan Hijriyah.Pada tataran praktis, kebijakan tersebut dapat diterima dengan baik olehmasyarakat, kecuali di Indonesia yang masih menghadapi kendala. Hal inidisebabkan kebijakan di ketiga negara dilakukan secara top-down, sedangkan diIndonesia dilakukan secara bottom-up. Selanjutnya, penentuan awal Ramadan,Syawal dan Zulhijah masih menunggu konfirmasi penampakan hilal (rukyah).Ini terkait dengan dominasi ru’yah, dan perbedaan yang kuat antara fungsipenanggalan dalam administrasi sipil dan praktik ibadah.

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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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Global Hijriyah Calendar As Challenges Fikih Astronomy

Abstract: Abstract-Unification

Cited by 3 publications

References 0 publications

Predicting the Visibility of the First Crescent

Predicting the Visibility of the First Crescent

Implementation of the New MABIMS Crescent Visibility Criteria: Efforts to Unite the Hijriyah Calendar in the Southeast Asian Region

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

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