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All Journal Agents: Journal of Artificial Intelligence and Data Science
Hastuti Hastuti
Universitas Islam Negeri Makassar
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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IMPLEMENTASI JARINGAN SARAF TIRUAN UNTUK MENENTUKAN KELAYAKAN MAHASISWA DALAM MENDAPATKAN PEKERJAAN Ayu Azhari Zainal; Azizah Salsabila Azizah Salsabila; Hastuti Hastuti; Darmatasia
AGENTS: Journal of Artificial Intelligence and Data Science Vol 3 No 1 (2023): September - Februari
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1233.462 KB) | DOI: 10.24252/jagti.v3i1.58

Abstract

Job recruitment selection is one of the processes carried out by agencies or companies to determine whether a person is eligible for a certain job position or not. The selection process is often carried out in a subjective manner so that it can be detrimental to companies or job applicants. In the process of determining a person's eligibility to be accepted or get a particular job, a company usually has set certain criteria. In addition, a company also often holds regular employee recruitment. This study aims to implement one of the machine learning algorithms, namely an Artificial Neural Network to build a model that can assist companies in predicting a person's eligibility for employment. The model is built with reference to certain criteria data that has been set by the company such as educational history, work experience, and capabilities. The best accuracy result of 91.18% is obtained from a model built using a learning rate parameter of 0.1 and the number of hidden layers is 10.
Co-Authors Ayu Azhari Zainal Azizah Salsabila Azizah Salsabila Darmatasia