Penerapan Algoritma Bayesian Classification untuk Pemberian Harokat pada Kalimat Bahasa Arab

Ahmad Nur, Maliki and Maliki, Irfan (2013) Penerapan Algoritma Bayesian Classification untuk Pemberian Harokat pada Kalimat Bahasa Arab. In: Seminar Teknik Informatika dan Sistem Informasi 2013, 2013, Maranatha Bandung.

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Abstract

Arabic is a language used in the Qur’an and the Hadith as well as other Islamic knowledge sources. Because of grammar complexity, there are several things must be known such as grammar in writing and reading. As an initial capital to simplification of Islamic sciences study, the authors carried on a research to develop a web-based application by applying the classification method using Bayesian Classification algorithm. This method will help represents the Arabic grammar by predicting the probability of the membership of a grammar course based on training data contained in the database. Bayesian Classification was proven to have a high accuracy rate when applied into the large size database. By the testing on the simple arabic sentences, this application was applicable with up to 93,3% to give harakat of word grammatically. Keywords — Harakat, Arabic Sentence, Bayesian Classification Algorithm.

Item Type: Conference or Workshop Item (Paper)
Subjects: Prosiding
Divisions: Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer > Teknik Informatika (S1)
Depositing User: mr irfan maliki
Last Modified: 19 Nov 2020 13:22
URI: https://repository.unikom.ac.id/id/eprint/67774

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