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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) JOIV : International Journal on Informatics Visualization JURNAL PENDIDIKAN TAMBUSAI EDUKATIF : JURNAL ILMU PENDIDIKAN GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Informasi dan Pendidikan Journal of Applied Engineering and Technological Science (JAETS) JISA (Jurnal Informatika dan Sains) Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat INCARE Journal of System and Computer Engineering Jurnal Vokasi Informatika (JAVIT) Journal of Community Service Innovative: Journal Of Social Science Research TOFEDU: The Future of Education Journal Scientica: Jurnal Ilmiah Sains dan Teknologi Journal of Hypermedia & Technology-Enhanced Learning Ignite: Journal Islamic Global Network for Information Technology and Entrepreneurship Jejak digital: Jurnal Ilmiah Multidisiplin
Geovanne Farell
Universitas Negeri Padang
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

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Analysis of Job Recommendations in Vocational Education Using the Intelligent Job Matching Model Farell, Geovanne; Zin Latt, Cho Nwe; Jalinus, Nizwardi; Yulastri, Asmar; Wahyudi, Rido
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2201

Abstract

Vocational high schools are one of the educational stages impacted by Indonesia's low quality of education. Vocational High Schools play a crucial role in improving human resources. Graduates of Vocational High Schools can continue their education at universities or enter the workforce directly. Many students are found to have not yet considered their career path after graduation. At the same time, graduates are still expected to find mismatched employment with their expertise and skills. This research uses CRISP-DM, or Cross Industry Standard Process for Data Mining, to build machine learning models. The approach used is content-based filtering. This model recommends items similar to previously liked or selected items by the user. Item similarity can be calculated based on the features of the items being compared. After students receive job recommendations through intelligent job matching, they can use these recommendations as references when applying for jobs that align with their results. This process helps students direct their steps toward finding jobs that match their profiles, ultimately increasing their chances of success in the job market. These recommendations are crucial in guiding students toward career paths that align with their abilities and interests. The Intelligent Job Matching Model developed in this research provides recommendations for the job-matching process. This model benefits graduates by providing job recommendations aligned with their profiles and offers advantages to the job market. By implementing the Model of Intelligent Job Matching in the recruitment process, applicants with job qualifications can be matched effectively.
Co-Authors Adam, Al Afif Fadhilah Ahmaddul Hadi Ahmaddul Hadi, Ahmaddul Alzyoud, Mazen Ambiyar, Ambiyar Anita Yusmar Asmar Yulastri Asmara, Delvi Asrul Huda Aviska, Lady Budayawan, Khairi Bunda, Nur Intan Permata Dedy Irfan Delsina Faiza Denny Kurniadi Dina Febrianti Dony Novaliendry Efrizon Efrizon Elfizon Elfizon Fadhila, Fajri Falma, Fris Okta Ferdian, Feri Fernandes, Roy Ganefri . Hadi Kurnia Saputra Hadi Kurnia Saputra Hansi Effendi Hari Sabintang Hendriansyah, Muhammad Aditya Heri Kurniawan, Heri Herianis, Sofia Igor Novid Jannah, Amiratul Juyendra, Atifa Syalsabilla Kasman Rukun Khairi Budayawan Kurnia, Hasbi Kurniadi, Denny Lativa Mursyida Lenggogeni Lenggogeni Lise Asnur M Giatman Maghribi, Muhammad Ridho Maharani Hamidah Marta, Rizkayeni Maulani, Nike Miranda Miranda Muhamad Tegar Putra Perdana Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal MUHAMMAD YUSUF Mursyida, Lativa Muskhir, Mukhlidi Mutawafika Rusliputri Muthia Shavira Mutiara Pratiwi Tarigan Nadia Dwi Nuristi Nikolaevna, Sharshova Regina Nizwardi Jalinus Novri Rahmad, Adib Nur Addina Nurhalizah, Adek Siti Pitri Yenti Putra Jaya Putra, Muhammad Alfarizi Esa Putri Zega, Martalita Rachmah Nanda Octhavira Rahmatika, Hayati Raihan Maulana Resmi Darni Ridal Ardhi Rido Wahyudi Rosmiani Rosmiani Salsabila, Unik Hanifah Sandi Rahmadika Sheanny Ocmi Sakti Simatupang, Wakhinuddin Syah, Vidy Akbar Syahril Syahril Syukhri Syukhri Syukri, Raihan Thamrin Titi Sri Wahyuni Titin Sriwahyuni Tri Fadliah Sona Vera Irma Delianti Wahyudi, Rido Waskito Waskito Wiki Lofandri Yeka Hendriyani Yudha Aditya Fiandra Zin Latt, Cho Nwe Zulwisli .