IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Retrieval Journal Pub Date : 2021-04-26 DOI:10.35878/ISLAMICREVIEW.V10I1.245
I. Ismail, Husnaini Husnaini
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引用次数: 0

摘要

这篇论文的目的是解释一个祈祷时间表的实现,仍然由亚齐人指导。在社区中流传的祈祷时间表有各种类型和形式,准备模式和准确性也各不相同。Abu Muhammad Isa于1984年编写的所有时间祈祷时间表在他的时代是非常现代的,包括在周围地区的转换祈祷时间表类型中,并根据印度尼西亚总统令以西印度尼西亚时区105°(GMT + 7)为指导。1963年第243号。与计算结果相比,祷告时间比预期慢了约2分钟。这个祈祷时间表可以在计算点的55.4公里半径内进行指导,因为它使用了ihktiyat 2分钟的值,并且仍然可以一直使用,因为到目前为止产生的差异只有秒。
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Aktualisasi Jadwal Salat Sepanjang Masa Abu Muhammad Isa Mulieng Aceh
This paper aims to explain the actualization of one of the prayer schedules that are still guided by the people of Aceh. Prayer schedules circulating in the community are of various types and forms, patterns of preparation and accuracy also vary. This type of research uses a qualitative approach with the documentation method as a data collection technique The all-time prayer schedule of Abu Muhammad Isa work compiled in 1984 was very contemporary in his time and included in the type of conversion prayer schedule for the surrounding area and guided by the West Indonesia Time zone 105 ° (GMT + 7) in accordance with the Indonesian Presidential Decree. No. 243 of 1963. When compared with the results of the computational calculation, the prayer schedule is slower around 2 minutes than it should. This prayer schedule can be guided within a radius of 55.4 kilometers from the point of calculation, because it uses the value of ihktiyat 2 minutes and can still be used for all time because until now the resulting difference is only in seconds.
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来源期刊
Information Retrieval Journal
Information Retrieval Journal 工程技术-计算机:信息系统
CiteScore
6.20
自引率
0.00%
发文量
17
审稿时长
13.5 months
期刊介绍: The journal provides an international forum for the publication of theory, algorithms, analysis and experiments across the broad area of information retrieval. Topics of interest include search, indexing, analysis, and evaluation for applications such as the web, social and streaming media, recommender systems, and text archives. This includes research on human factors in search, bridging artificial intelligence and information retrieval, and domain-specific search applications.
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