Proceedings of the 2nd International Conference on Quran and Hadith Studies Information Technology and Media in Conjunction with the 1st International Conference on Islam, Science and Technology, ICONQUHAS & ICONIST, Bandung, October 2-4, 2018, Indonesia

Research Article

Text Mining Approach for Topic Modeling of Corpus Al Qur'an in Indonesian Translation

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  • @INPROCEEDINGS{10.4108/eai.2-10-2018.2295559,
        author={Dwi  Rolliawati and Indri Sudanawati Rozas and Khalid  Khalid and Indri Sudanawati Rozas},
        title={Text Mining Approach for Topic Modeling of Corpus Al Qur'an in Indonesian Translation},
        proceedings={Proceedings of the 2nd International Conference on Quran and Hadith Studies Information Technology and Media in Conjunction with the 1st International Conference on Islam, Science and Technology,  ICONQUHAS \& ICONIST, Bandung, October 2-4, 2018, Indonesia},
        publisher={EAI},
        proceedings_a={ICONQUHAS},
        year={2020},
        month={5},
        keywords={component; indonesian translation quran makki madani topic modeling corpus},
        doi={10.4108/eai.2-10-2018.2295559}
    }
    
  • Dwi Rolliawati
    Indri Sudanawati Rozas
    Khalid Khalid
    Indri Sudanawati Rozas
    Year: 2020
    Text Mining Approach for Topic Modeling of Corpus Al Qur'an in Indonesian Translation
    ICONQUHAS
    EAI
    DOI: 10.4108/eai.2-10-2018.2295559
Dwi Rolliawati1,*, Indri Sudanawati Rozas1, Khalid Khalid1, Indri Sudanawati Rozas1
  • 1: UIN Sunan Ampel, Faculty of Science and Technology, Surabaya, Indonesia
*Contact email: dwi_roll@uinsby.ac.id

Abstract

Qur’an is a religious text for Moslem that is revealed to humanity as a guide to solve any problems in all aspects of life. Therefore Quranic text is widely translated in various countries around the world, including in Indonesia which is predominantly inhabited by Moslem. Difficulties in understanding the Arabic Quranic text as well as still limited research on the Indonesian translated Quran in accordance to science and technology, have opened a broad challenge to contribute to this realm. This paper proposed topic modelling of corpus in Indonesian Translated Quran by generating four main topics that were closely/firmly related to human life: 1) heaven (surga) and hell (neraka), 2) World (dunia) and Afterlife (akhirat), 3) Science (ilmu), charity (amal) and jihad, 4) Day (siang), night (malam), life (hidup), and death (mati). The moderator variables for this research were defined as Makki and Madani, as terms referring to the revelation location of Quranic verses. In conclusion, the study results hopefully can be benefited as a convincing contribution from science's point of view that Makki’s verses are indeed emphasizing the faith as the foundation of Islam. This can be seen from number frequencies of the words “hidup” (161), “neraka” (157), “surga” (105), “dunia” (127), “amal” which are closely related to human faith in life were mentioned, discussed and elaborated more in Makki's verses than in Madani's.