Indonesian Translation of the Holy Quran (Multi-label)doi:10.34820/FK2/XQCNPNRoot2022-01-311Adiwijaya, Adiwijaya; Said Al Faraby; Mohamad Syahrul Mubarok, 2022, "Indonesian Translation of the Holy Quran (Multi-label)", https://doi.org/10.34820/FK2/XQCNPN, Root, V1, UNF:6:uzuQF/bh/4QqWJHLpb7tOA== [fileUNF]Indonesian Translation of the Holy Quran (Multi-label)doi:10.34820/FK2/XQCNPNAdiwijaya, AdiwijayaSaid Al FarabyMohamad Syahrul MubarokRootAdiwijaya, AdiwijayaAdiwijaya, Adiwijaya2022-01-23Computer and Information ScienceSocial SciencesQuran DataText DataThis 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.CC0 Waiver10.1109/ICoICT.2018.8528802A. 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. 103-106.10.1109/ICoICT.2019.8835362N. 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. 1-5.10.1109/ICoICT.2018.8528777R. 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.datasetalquran.tab663820text/tab-separated-valuesUNF:6:uzuQF/bh/4QqWJHLpb7tOA==JumlahAyat1.01825.69378407100273143.5.6349.03151.0197241822425402.06236.0UNF:6:YpX6LxhKtsk9gGgL4/iZ1Q==Surahke-114.0402.026.46126088860570733.5197241821679226.01.06236.0.UNF:6:vvS3Bn0F9vJjoZBkt6LhYw==verse50.4639242949096241.0402.0286.053.5065747273877638.0.6236.0UNF:6:npIvJwk7aj6U/mh6vV2KQA==TerjemahanUNF:6:xs5O7RkuA5lNXKcF4h1RjQ==1.6236.01.00.5492302758178311402.00.01.00.4976103771644404UNF:6:BUyqKgbPJjCJ+vvTChcssQ==2402.00.48199807070832516236.00.01.00.36690186016677456.0.0UNF:6:hSr00sKl00ij2IDnJFwuDQ==3402.00.00.085471456061577670.06236.0.0.279604404332390871.0UNF:6:CUhrddDCrbOG97UPG6KIBw==40.277211775405386556236.01.0.0.00.083867864015393840.0402.0UNF:6:Y+MQcB2cVWm/dbxEfegoDg==50.00.0.0.115137908915973896236.0402.01.00.3192138954529534UNF:6:KVuTrxj9bVmPAPAwR4hHPw==60.174921964330174151.00.00.031590763309813676.402.00.06236.0UNF:6:/qR7I8Ki/rur3Mqn8krxyg==70.23202905959760547.1.0402.06236.00.00.00.0570878768441308UNF:6:fCOJDsPrVJBFKiF5TFEPUA==8.0.300109569497041650.06236.00.10006414368184693402.00.01.0UNF:6:VkHmVxrvD7wJyr2XbKECXg==90.06236.00.12331622835150477402.00.00.3288262083294462.1.0UNF:6:rmXlodtCV+ehpXveMVx9Dg==100.04762668377164867402.06236.0.0.00.21299215376471161.00.0UNF:6:QQTymwXXgqZcGGOpj6aC8Q==110.0325529185375234366236.00.17747753962368473.0.00.01.0402.0UNF:6:x9KFHBjXWrzg8YSi9gVusg==12.0.00.080824178952177681.00.00.00657472738935194402.06236.0UNF:6:4RdIk3ldlVj6D6e0uo7dow==130.00.00.00593329057087878402.00.076805159970254186236.01.0.UNF:6:9q9oFr/VM87VN7FJu6v26A==14.0.31091341544265336236.01.0402.00.00.00.10840282232200044UNF:6:x+hPthSbNtY9r+0+tVVbnQ==156236.00.0402.00.213332462522348970.04778704297626628.0.01.0UNF:6:9GLOsnvd465zEdrEFXLaGA==160.326049776144713036236.0402.0.0.120910840282230770.00.01.0UNF:6:VbqFBeWV7IaBmATlnB3mWQ==