Sisforma: Journal of Information Systems
Vol 6, No 2: November 2019

Recommendation System of Information Technology Jobs using Collaborative Filtering Method Based on LinkedIn Skills Endorsement

Latifah Diah Kumalasari (Dian Nuswantoro University, Semarang)
Ajib Susanto (Dian Nuswantoro University, Semarang)



Article Info

Publish Date
02 Feb 2020

Abstract

Students who are graduated from Informatics Engineering have wide employment opportunities in the information technology work field, such as database administrator, data scientist, UI designer, IT project manager, network engineer, system analyst, software engineer and UX designer. Each job in Information Technology field has different skill requirement for the interest of work field. Therefore, IT skill classification is needed to find out the suitable career recommendation for Informatics Engineering students. Data from IT professionals which are obtained from LinkedIn account of IT professionals will be processed as reference for students. Data are processed using K-Means Clustering algorithm to find out how is feasible IT professionals data are used as a reference. Then, Collaborative Filtering method by the K-NN algorithm is used to determine classification based on the proximity between student skills and information technology job field. The output is recommendation of information technology job field which are generated from calculate of IT student skills. Result has been tested by testing one of user that has been labeled software engineer produce a recommendation output as a software engineer.

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Journal Info

Abbrev

sisforma

Publisher

Subject

Computer Science & IT Education Engineering Library & Information Science

Description

SISFORMA journal published by the Information Systems Studies Program Faculty of Computer Science Soegiapranata Semarang. to accommodate the scientific writings of the ideas or studies related to information systems. Scope journal Sisforma: Topics that will be published in the journal SISFORMA ...