Research Article
The Implementation of Indonesian Stemming System for Indonesian Translation of the Quran
@INPROCEEDINGS{10.4108/eai.2-10-2018.2295507, author={Syopiansyah Jaya Putra and Novi Dwi Cahyanti and Suci Ratnawati and Muhamad Nur Gunawan and Dwi Puspita Sari}, title={The Implementation of Indonesian Stemming System for Indonesian Translation of the Quran}, 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={msmes; seller loyalty; e-marketplace indonesia; metode smart; women}, doi={10.4108/eai.2-10-2018.2295507} }- Syopiansyah Jaya Putra
Novi Dwi Cahyanti
Suci Ratnawati
Muhamad Nur Gunawan
Dwi Puspita Sari
Year: 2020
The Implementation of Indonesian Stemming System for Indonesian Translation of the Quran
ICONQUHAS
EAI
DOI: 10.4108/eai.2-10-2018.2295507
Abstract
Indonesian translation of the Quran (ITQ) is a translator documentation of Quran to Indonesian language containing Muslim guidance, so it is necessary to apply Indonesian Stemming System (ISS) to support learning and understanding ITQ contents. In the implementation of ITQ documentation stemming process, there were some errors including a little number of beheadings (understemming), non-beheading (overstemming), and that produces an incorrect base word. This paper focuses on the Indonesian stemming system implementation for ITQ to produce data training that can minimize errors in the application of the steaming process. The system development consists of 5 steps, including Empiricism in Algorithm Design, Implementation, Experimental Setup, Measure, and Conclusion. Porter algorithm is used in applying Indonesian Steaming System with the rule-based approach. The application of the text processing process starts from tokenization, stop word removal, stemming result token. The study and system development produce application system that optimizes the application of the tokenization process, stopword removal, and stemming ITQ. The result of this study enhances the application system that can support the researcher in understanding ITQ in developing advanced research in the field of text mining for ITQ and hadith.
