Aplikasi Search Engine Pencarian Judul Skripsi Tugas Akhir dan Kerja Praktek dengan Algoritma VSM (Vector Space Model)

Yopi Rohendi Saputra, Yopi (208 700 961) (2013) Aplikasi Search Engine Pencarian Judul Skripsi Tugas Akhir dan Kerja Praktek dengan Algoritma VSM (Vector Space Model). Diploma thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

There are a lot of hadits scattered in holy books that looks complex in categorizing, therefore media is needed to collect it. One of the media is encyclopedia. Many encyclopedia is formed as book that contains the collection of hadits even in thousands. The thickness of the encyclopedia makes access process difficult. Nowaday with development of internet technology so the hadist encyclopedia based on web is built and then this application contains searh engine. The development of web technology gives convinience in accessing and searching content that relate with encyclopedia content. And expected to help the user in find information with suitable the order. This reseach uses text mining technique with vector space model algorism to measuring similarity seacrh result toward document. Text mining technique has three important phase that is : text preprocessing, text transformation, and pattern discovery. Text preprocessing phase existed from text cleaning and sentence fission to be words (tokenizing) so that be a steam. Then, the stem result will analyzed with counting word value and suitable keywords. Text transformation exsited from filtering phase. The pattern discovery phase is valuing phase. The value is TF-ID F. From the value calculation result with TF – IDF, the calculate value document similarity will undertaken. In measuring level of similarity between ketwords and document use vector space model algorism with cosine similarity method. The data used for testing is known that in the searching process to discover relevant results should enter the keyword which suitable Indonesian writing rules

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Encyclopedia, Hadits, Search, Text Mining, Vector Space Model
Subjects: General Management > Information Management
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Informatika
Depositing User: Users 3781 not found.
Date Deposited: 18 Oct 2017 06:06
Last Modified: 18 Oct 2017 06:06
URI: http://digilib.uinsgd.ac.id/id/eprint/4464

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