Pencarian Halaman Situs Karir Menggunakan Algoritma Harmony Search Berbasis Focused Web Crawler

Abstract

Classification of career site pages is the process of grouping career site pages into certain categories based on the content contained therein. This study aims to develop a career website page classification system using the Harmony Search algorithm based on Focused Web Crawler. The Focused Web Crawler is used to gather data from career sites and select pages to use as training data for the Harmony Search classification algorithm. In this study, experiments were carried out using several parameters such as job tags taken by the Focused Web Crawler, the number of features taken from the career site page, and parameters in the Harmony Search algorithm. The results of this study indicate that the use of 500 pages and 50 features on the Focused Web Crawler and the best parameter on the Harmony Search algorithm results in a higher classification accuracy compared to using other parameters. With the existence of a career website page classification system using the Harmony Search algorithm based on the Focused Web Crawler, it is hoped that it can assist users in finding job information that suits their needs and abilities. In addition, this research can also be used as a reference for the development of other classification systems using the same techniques and algorithms Based on the same HMCR and PAR 0.5 affects the height of relevant up to 95%.