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Ari Wibisono
Faculty of Computer Science, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat, 16424, Indonesia
Computer Science & IT

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WEB PLACE NAME DICTIONARY IMPLEMENTATION USING TWITTER AS SOURCE TO DEVELOP TRAFFIC INFORMATION SYSTEM Rachmad Akbar; Ari Wibisono; Petrus Mursanto
Jurnal Sistem Informasi Vol. 10 No. 1 (2014): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (700.954 KB) | DOI: 10.21609/jsi.v10i1.374

Abstract

Abstract Congestion is one of the severe problems that occurs in big cities like Jakarta, the center of the Indonesian government. One alternative solution to solve this problem is with a Traffic Information System which is easily accessible by the public. Twitter as a social media can be used as one of information source to develop the Traffic Information System. The most common problem in the processing of information on Twitter, especially in Indonesia, is the use of abbreviations and typographical error (typo). We propose an application of Web Place Name Dictionary in addressing abbreviations and typos in the name of the location contained on Twitter to develop a Traffic Information System. Three cases in find coordinate point in the street that derived from location name in Twitter can be handled through the proposed system. This system produces 90% accuration rate on 100 data set that obtained via @TMCPoldaMetro. This study only focus on the implementation of Web Place Name Dictionary method so we do not compare our system with the other methods.
C4.5 DECISION TREE IMPLEMENTATION IN SISTEM INFORMASI ZAKAT (SIZAKAT) TO AUTOMATICALLY DETERMINING THE AMOUNT OF ZAKAT RECEIVED BY MUSTAHIK David Bayu Ananda; Ari Wibisono
Jurnal Sistem Informasi Vol. 10 No. 1 (2014): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.995 KB) | DOI: 10.21609/jsi.v10i1.375

Abstract

Abstract In general, Zakat Information Systems is established to manage the zakat services, so that the data can be well documented. This study proposes the existence of a feature that will determine the amount of zakat received by Mustahik automatically using C4.5 Decision Tree algorithm. This feature is expected to make the process of determining the amount of zakat be done easy and optimal. The data used in this study are the data taken from Masjid An-Nur, Pancoran, South Jakarta. The experiment results show that the proposed feature produces an accuracy rate over 85%.
Co-Authors David Bayu Ananda Petrus Mursanto Rachmad Akbar