Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 3 No 1 (2019): Januari 2019

Peringkasan Multi-Dokumen Berbasis Clustering pada Sistem Temu Kembali Berita Online Menggunakan Metode K-Means

Amalia Kusuma Akaresti (Fakultas Ilmu Komputer, Universitas Brawijaya)
Mochammad Ali Fauzi (Fakultas Ilmu Komputer, Universitas Brawijaya)
Fitra Abdurrachman Bachtiar (Fakultas Ilmu Komputer, Universitas Brawijaya)

Article Info

Publish Date
27 Aug 2018

Abstract

The growing number of online news sites resulted in an explosion of information and information redundancy occurred. On this issue it takes the search engine to make it easier for users to find information, but users still have to read it one by one, therefore it needs also a summary system. Therefore a summary system is required to facilitate Internet users avoid getting the same information from different sources. In this study, multi-document clustering based on online news retrieval system using K-Means method. The process of searching system using Cosine Similarity method and on the summary using K-Means Clustering method. The results show that the optimum results in the recall system are Recall 71%, Presicion 65.82%, F-Measure 66.35% and on Recall system of Recall 37.3%, Presicion 18%, F-Measure 19.2%.

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Journal Info
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Website

Abbrev

j-ptiik

Publisher

Universitas Brawijaya

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...