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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika SITEKIN: Jurnal Sains, Teknologi dan Industri Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) INFORMAL: Informatics Journal Jurnal Sains dan Informatika IJISCS (International Journal Of Information System and Computer Science) Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Informatika dan Rekayasa Elektronik bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika Brilliance: Research of Artificial Intelligence Ilmu Komputer untuk Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) Digital Transformation Technology (Digitech) Teknomatika: Jurnal Informatika dan Komputer SISFOTENIKA KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Karina Auliasari
Instititut Teknologi Nasional Malang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Other

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Journal : bit-Tech

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Job Vacancy Recommendation System Based on Text Description Analysis Using Word Embedding and Cosine Similarity Fathur Riski; Karina Auliasari; Mira Orisa
bit-Tech Vol. 8 No. 3 (2026): bit-Tech - IN PROGRESS
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3690

Abstract

The rapid expansion of digital recruitment platforms has intensified information overload, making it increasingly difficult for job seekers to identify vacancies aligned with their skills and professional interests. In response to this challenge, this study develops a semantic-based job recommendation system that leverages word embedding and cosine similarity to enhance retrieval relevance within the Indonesian labor market context. The primary contribution lies in the empirical examination of embedding-driven semantic ranking applied to Indonesian job descriptions, with a focus on ranking coherence and contextual alignment rather than binary classification accuracy. The proposed framework transforms both user-entered skill keywords and job vacancy descriptions into dense vector representations within a shared embedding space. Semantic similarity is then computed using cosine similarity, enabling the system to rank job postings according to their contextual proximity to the user query. The recommendation output is presented in a Top-N format, prioritizing vacancies with the highest semantic correspondence. Experiments conducted on a dataset of 523 job postings demonstrate that the system consistently produces semantically coherent ranking patterns, where vacancies emphasizing relevant competencies are positioned at higher ranks. Qualitative evaluation further indicates stable ranking behavior across repeated queries, suggesting robustness in similarity-based ordering. These findings support the feasibility of embedding-based semantic retrieval as a practical and interpretable solution for content-driven job recommendation in dynamic digital recruitment environments.
Co-Authors Abdul Mufid Achmad Abdillah, Nur Aditya Prasetyo, Rizki Adyatma Nandana Partha, Putra Afani, Ghana Widya Agung Panji Sasmito Agustine, Thesalonika Nameta Ahmad Fahrudi Setiawan AHMAD FAISOL Aji Wicaksono, Bayu Al Biruni, Muhammad Ali Mahmudi Amarta Sholehuddin, Mohamma Dandy Amelia, Diyona Angga Firmansyah, Puja Anggara, Aditya Anggraini, Legming Dwi Aprilian Anarki, Galang Aprillia Dwi Dyah Saputri Aprillia Dwi Dyah Saputri Aria Alfaizi, Hafiz Ariq Ihsan, Muhammad Aris Dwi Darmawan Ariwibisono, FX. As-Siddiqi, M. Halim Bagaskara Adhi P Bastian Bastomi, Dwi Bella Fardani Daniel, Lazro Eko Putra Deddy Rudhistiar Destama Karni Saputra, Davantio Dewi Sibagariang Diah Wilis Lestarining Basuki Dimas Surya Prasetyo Eka Wijaya, Daniel Eksi Adi Irawan, Alfonsus Faddilani, Muhammad Rafi Fathur Riski Febriana Santi Wahyuni Finanda, Wibis Fisabilillah, Difa Ghani Muttaqin, Abdul Hafiidh Yupiza Ramadhani Hafiidh Yupiza Ramadhani Hamdani, Ahmad Hani Zulfia Zahro Hansen Sawa, Karolus Hasan Syu'aibi, Muhammad Hidayatur Rohman, M.Afif IBRAHIM, NAJAD Irvandani, Aditya Iva Roudhotul Rohmah Jamil Nashrulloh Kalimatullah, Moh. Teguh Laksana, Bintang Nur Lestarining Basuki, Diah Willis Luthfi Andhikaputra, Muhammad Mahmudin, Ali Mariza Kertaningtyas martha kusuma, edwin Maulana Muhammad, Maulana Mawan Kriswantono Mira Orisa Mirenty, Putri Mulan Mohamed Wasef Mohamed Wasef Muhammad Rafi Faddilani Mutiara, Siti Novitasari, Gana Nurina Nurina Pitriya Rizki, Ani Pratama, Ricky Adytya Primaswara P, Renaldi Putri Oktaviani, Anindhita Qurrotuna, Fina Raden Mohamad Herdian Bhakti Raflie, Andi Muh Haekal Rahmat Dian Nugraha, Adhitya Renaldi Primaswara Prasetya Renaldi, Bima Rizki, Muhammad Fitra Rizky Prayudhi, Bimo Robby, Mohammad Rofila El Maghfiroh Roudhotul Rohmah, Iva Sahal, Muhammad Yazid Abu Sena Yudha, Rizky Sentot Achmadi Sholawati, Mutiara Simamora, Octaryo Sinaga, Hannes Tigor Hamonangan Siti Hadijah Solly Aryza Sukmadiningtyas Sundari Sundari Suryo Adi Wibowo Uni Umamatun Nysa, Junia Willis, Diah Xaverius Ariwibisono, Franciscus Yosep Agus Pranoto Zain Aryanta Zain Aryanta Zulfan Najib, Ahmad Zulfia Zahro’, Hani Zulkifli Abdillah