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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Algoritma Jurnal Inspiration Jurnal INSYPRO (Information System and Processing) SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang Jurnal RESISTOR (Rekayasa Sistem Komputer) Klasikal: Journal of Education, Language Teaching and Science Indonesian Journal of Data and Science Kharisma Tech Journal of Technology Research in Information System and Engineering Agents: Journal of Artificial Intelligence and Data Science International Journal of Artificial Intelligence in Medical Issues
izmy alwiah musdar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Public Health Other

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Journal : Agents: Journal of Artificial Intelligence and Data Science

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Sistem Penunjang Keputusan Pemilihan Pekerjaan Menggunakan Metode Profile Matching Hamdan Arfandy; Erik Wijaya; Izmy Alwiah Musdar
AGENTS: Journal of Artificial Intelligence and Data Science Vol 3 No 2 (2023): Maret - Agustus
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v3i2.64

Abstract

The aim of this research is to design a decision support system for job selection. Finding job is the primary goal for students after graduation. The problem that arises is that many alumni are unaware and still confused about which field of work to pursue. In this study, a web-based decision support system was developed with the intention of being accessible via desktop and mobile devices. The Profile Matching method is utilized to generate job recommendations for system users. The application development employed the Bootstrap framework to ensure a more organized web interface. System testing was conducted using the black box method with twenty-five test cases. The result of this research is the successful development of a decision support system for job recommendations, which has undergone the system testing process. The testing results indicate that the system functions properly according to the system specifications, and no calculation errors or ranking discrepancies were found in the decision outputs displayed by the system.
Co-Authors Abdul Munir S. Adys, Himala Praptami Angriani, Husni Azhari SN Caroline Layadi Chandra, Rikardo Christofer Veronica Wu Derick Triady Dhio Immanuel Salintohe Erik Wijaya Erlan Darwis Fonda, Surya Fransciska Karundeng Friantika Soplanit Geraldi R Wiwono Gisella Beatrice Ticoalu Gst. Ayu Vida Mastrika Giri Ham, Ficky Hamada Zein Hamdan Arfandy Hasniati Hasniati Hasniati Hasniati, Hasniati Hendra Surasa Hong William Fondy Husni Angriani Judith Bryan Leonard Sie Junaedy Junaedy Junaedy . Kambodji, Audri Billy Layadi, Caroline Marlina marlina Melda, Melda Mohammad Fajar, Mohammad Muhammad Ariq Dzaky Nicolina Djiu Poetro, Bagus Satrio Waluyo Randy Rikardo Chandra Rivaldo Winengko Ronald Kwandy Samuel Pinontoan Sinra, A. St Muriati, St Surasa, Hendra Suwandy Sumbogo Syaiful Rahman Syamsul Bahri Syamsul Bahri Taruk, Medi Triono, Andri Maruli Imanuel Vivian Evania Liauren Willianto Willianto Yandi Aprilian Najoan