Indonesian Translation of the Holy Quran (Multi-label)

Version 1.0

Adiwijaya, Adiwijaya; Said Al Faraby; Mohamad Syahrul Mubarok, 2022, "Indonesian Translation of the Holy Quran (Multi-label)", https://doi.org/10.34820/FK2/XQCNPN, Telkom University Dataverse, V1, UNF:6:uzuQF/bh/4QqWJHLpb7tOA== [fileUNF]

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Description	This dataset contains the Indonesian translation of the Al-Quran in the text representation. Each text in the dataset has been categorized into Arkanul Islam, Iman, Al-Qur'an, Science, Amal, Dakwah, Jihad, Human and Community relations, Akhlak, Rules relating to property, Matters Relating to the Law, Country and Society, Agriculture and Trade, History and Story, and Religions, which are validated by a Al-Quran expert.
Subject	Computer and Information Science; Social Sciences
Keyword	Quran Data, Text Data
Related Publication	A. M. Khonsa Izzaty, M. S. Mubarok, N. S. Huda and Adiwijaya, "A Multi-Label Classification on Topics of Quranic Verses in English Translation Using Tree Augmented Naïve Bayes," 2018 6th International Conference on Information and Communication Technology (ICoICT), 2018, pp. 103-106. doi: 10.1109/ICoICT.2018.8528802

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	datasetalquran.tab Tabular Data - 1.3 MB - Jan 31, 2022 - 215 Downloads 20 Variables, 6638 Observations - UNF:6:uzuQF/bh/4QqWJHLpb7tOA==	Access File Download Options Original File Format (MS Excel Spreadsheet) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX

Citation Metadata

Dataset Persistent ID	doi:10.34820/FK2/XQCNPN
Publication Date	2022-01-31
Title	Indonesian Translation of the Holy Quran (Multi-label)
Author	Adiwijaya, Adiwijaya (Telkom University) - ScopusID: 36338419400 Said Al Faraby (Telkom University) - ScopusID: 57191625963 Mohamad Syahrul Mubarok (Telkom University) - ScopusID: 57195424205
Contact	Use email button above to contact. Adiwijaya, Adiwijaya (Telkom University)
Description	This dataset contains the Indonesian translation of the Al-Quran in the text representation. Each text in the dataset has been categorized into Arkanul Islam, Iman, Al-Qur'an, Science, Amal, Dakwah, Jihad, Human and Community relations, Akhlak, Rules relating to property, Matters Relating to the Law, Country and Society, Agriculture and Trade, History and Story, and Religions, which are validated by a Al-Quran expert.
Subject	Computer and Information Science; Social Sciences
Keyword	Quran Data Text Data
Related Publication	A. M. Khonsa Izzaty, M. S. Mubarok, N. S. Huda and Adiwijaya, "A Multi-Label Classification on Topics of Quranic Verses in English Translation Using Tree Augmented Naïve Bayes," 2018 6th International Conference on Information and Communication Technology (ICoICT), 2018, pp. 103-106. doi: 10.1109/ICoICT.2018.8528802 https://ieeexplore.ieee.org/document/8528802 N. S. Huda, M. S. Mubarok and Adiwijaya, "A Multi-label Classification on Topics of Quranic Verses (English Translation) Using Backpropagation Neural Network with Stochastic Gradient Descent and Adam Optimizer," 2019 7th International Conference on Information and Communication Technology (ICoICT), 2019, pp. 1-5. doi: 10.1109/ICoICT.2019.8835362 https://ieeexplore.ieee.org/document/8835362 R. A. Pane, M. S. Mubarok, N. S. Huda and Adiwijaya, "A Multi-Lable Classification on Topics of Quranic Verses in English Translation Using Multinomial Naive Bayes," 2018 6th International Conference on Information and Communication Technology (ICoICT), 2018, pp. 481-484. doi: 10.1109/ICoICT.2018.8528777 https://ieeexplore.ieee.org/document/8528777
Depositor	Adiwijaya, Adiwijaya
Deposit Date	2022-01-23

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