NABI IDRIS DALAM PERSPEKTIF KITAB-KITAB SUCI AGAMA DAN KETOKOHANNYA DALAM KAJIAN ILMU FALAK

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Retrieval Journal Pub Date : 2020-04-26 DOI:10.35878/islamicreview.v9i1.196
Novi Arizatul Mufidoh
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引用次数: 2

Abstract

The term prophet comes from Arabic, with the origin of the word naba’, which is usually interpreted as news, and stories. In the history of the world, the prophet has always been synonymous with the discussion of a special person by the God who delivered the message to guide his people, as well as smart people who teach humans about various disciplines to worship and understand their God. There are many prophets who have been sent to the world with different disciplines. Among astronomers, one of the prophets who were featured was Idris as. Because, as part of the name of the prophet who must be believed in Muslims, Idris as was one of the most important people in the study of Falak science (science of astronomy), because a lot of literature explains that he was the first human who discovered astronomy. This article is the result of the analysis literature study provides an explanation regarding the biography of the prophet Idris and his genealogy contained in several holy books, namely the Torah, the Bible, and the Qur'an. Besides that, some astronomers in his book stated that the prophet Idris as was the inventor of astronomy.   Keyword: Idris as, Falak Science, Holy Books
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先知伊德瑞斯从宗教经文的角度和他在天文学研究中的进步
“先知”一词来自阿拉伯语,起源于“naba”这个词,通常被解释为新闻和故事。在世界历史上,先知一直是上帝对一个特殊的人的讨论的同义词,他传递了信息来指导他的人民,以及教人类崇拜和理解他们的上帝的各种学科的聪明人。有许多先知被派到世界上,有着不同的学科。在天文学家中,有一位先知是伊德里斯。因为,作为穆斯林必须相信的先知名字的一部分,伊德里斯是法拉克科学(天文学)研究中最重要的人物之一,因为很多文献都解释说他是第一个发现天文学的人。这篇文章是分析文献研究的结果,提供了一个关于先知伊德里斯的传记和他的家谱包含在几本圣书,即托拉,圣经和古兰经的解释。除此之外,一些天文学家在他的书中说,先知伊德里斯是天文学的发明者。关键词:伊德里斯,法拉克科学,圣书
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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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