Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JOIV : International Journal on Informatics Visualization

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 Al-afif Muyassar, Raihan Alzyoud, Mazen Ambiyar, Ambiyar Anita Yusmar Anori, Sartika Asmar Yulastri Asmara, Delvi Asrul Huda Aviola, Rawim Puja Aviska, Lady Budayawan, Khairi Bunda, Nur Intan Permata Cakranata, Raden Galuh Garhadi Dedy Irfan Delsina Faiza Denny Kurniadi Dina Febrianti Dony Novaliendry Efrizon Efrizon Elfizon Elfizon Elsy Maharani Putri Fadhila, Fajri Falma, Fris Okta Feri Ferdian Fernandes, Roy Ganefri . Hadi Kurnia Saputra Hadi Kurnia Saputra Hansi Effendi Hari Sabintang Hendriansyah, Muhammad Aditya Heri Kurniawan, Heri Herianis, Sofia Igor Novid Ika Parma Dewi 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 Adri 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 Pranoto, Dzenata Achmad Putra Jaya Putra, Muhammad Alfarizi Esa Putri Zega, Martalita Rachmah Nanda Octhavira Rahmadika, Sandi Rahmatika, Hayati Raihan Maulana Resmi Darni Ridal Ardhi Rido Wahyudi Rosmiani Rosmiani Salsabila, Unik Hanifah Sandra, Randi Proska Sheanny Ocmi Sakti Simatupang, Wakhinuddin Syafrijon, Syafrijon Syah, Vidy Akbar Syahril Syahril Syukhri Syukhri Syukhri, Syukhri Syukri, Raihan Thamrin Thamrin Thamrin Titi Sri Wahyuni Titin Sriwahyuni Tri Fadliah Sona Vera Irma Delianti Vera Irma Delianti Wahyudi, Rido Waskito Waskito Wiki Lofandri Yeka Hendriyani Yudha Aditya Fiandra Zin Latt, Cho Nwe Zulwisli .