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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal EECCIS Proceeding of the Electrical Engineering Computer Science and Informatics Fountain of Informatics Journal Faktor Exacta INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) KACANEGARA Jurnal Pengabdian pada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Science, Engineering, Technology, and Education Jurnal Pengabdian Masyarakat Multidisiplin Jifosi Jurnal Syntax Transformation SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal PkM (Pengabdian kepada Masyarakat) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Kresna: Jurnal Riset dan Pengabdian Masyarakat Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Jurnal Ticom: Technology of Information and Communication INOVTEK Polbeng - Seri Informatika Jurnal Elektronika dan Telekomunikasi
Hari Soetanto
Universitas Budi Luhur
Aerospace Engineering Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Skill Recommendation System Using User-Based Collaborative Filtering Method Fadli Yandra; Muhammad Iqbal Fadillah; Hari Soetanto
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 14 No. 1 (2026): March 2026
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v14i1.12078

Abstract

The rapidly evolving job landscape in the digital era requires job seekers to continuously adapt to emerging skills driven by technological advancements across various industries. However, many job seekers struggle to keep up with these changing skill demands, while existing job portals often lack features that recommend relevant skills. To address this issue, this study proposes a skill recommendation system based on the User-Based Collaborative Filtering approach, which considers similarities between users’ preferences. Two similarity measurement methods, Log-Likelihood Similarity and Cosine Similarity, are applied and compared to evaluate their effectiveness. The system matches user skill profiles with skill requirements extracted from job vacancy data, where job postings are also treated as user representations. The dataset was collected from the Jobstreet job portal using web scraping techniques, ensuring relevance to real-world job market conditions. The system performance was evaluated using the Hit Rate Matrix. The results show that the Log-Likelihood Similarity method achieved a hit rate of 0.73, outperforming the Cosine Similarity method, which obtained a score of 0.51. This indicates that Log-Likelihood Similarity provides more accurate and relevant skill recommendations. Overall, the proposed system demonstrates the potential to assist job seekers in identifying relevant skills aligned with current market demands, thereby supporting better career decision-making in a competitive and dynamic job environment.
OPTIMASI KOMUNIKASI PADA MASA KEBIJAKAN WORK FROM HOME (WFH) MENGGUNAKAN APLIKASI ZOOM BAGI SISWA PKBM BHAKTI ASIH CILEDUG Painem Painem; Hari Soetanto
Jurnal Pengabdian Masyarakat Multidisiplin Vol 4 No 3 (2021): Juni
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v4i3.1799

Abstract

One of the policies of the Indonesian Government in preventing the spread of Covid-19 is the work from home (WFH) policy for most institutions and companies. With the reduction of physical activity, interactions at work and communication with various parties must take advantage of technology including telephone, electronic mail, instant messages, and video calls. As a non-formal education institution, PKBM Bhakti Asih has students, most of whom have worked in various fields of work. One of the problems in PKBM Bhakti Asih related to long-distance communication patterns is the unequal technological literacy for all students. Lack of socialization and training to improve technological literacy causes difficulties for students to communicate interactively with many parties, both in work and in teaching and learning. This is the background for the implementation of this community service activity. The main objective of this activity is to improve technological literacy for PKBM Bhakti Asih students in using the Zoom Cloud Meeting application as a means of mass video communication. Participants in this activity involved students and teachers at PKBM Bhakti Asih. Apart from being useful in facilitating teaching and learning activities, for students, of course, this training will be useful in working in their respective companies.
Co-Authors Abdul Hadi Achmad Solichin Admi Syarif Agus Wantoro Ahmad Fitrah Maulana Alfiansyah, Deden Moh Anidnya Putri Pradiptha Anindya Putri Pradiptha Anindya Putri Pradiptha Ansis, Syukry Ardiane Rossi Kurniawan Maranto Asmarayani , Ilham Fikri Dwi Carla, Antoni Catur Wardani Dade Reindra Dikpride Despa Dimas Aryadi Dwi Agung Yanumatrajaya Dwi Kristanto Fadli Yandra Ferdin Permana Putra Joko Christian Joko Christian Chandra Kusuma, Alviant Chandra Laureen Laureen Listyaningsih, Endang Palupi Muhammad Iqbal Fadillah Nicolas, Prayogi Perdana Painem Painem, Painem Paulus Vidorosa Pakan Prabandalu Enggar Wiraswendro Pradipta, Nathanael Yudhistira Pradiptha, Anindya Putri Prasetiyo, Ari Budi Putra, Donny Anggara Retyanto Wardoyo Rossi, Ardiane Rusdah Rusdah Ruwirohi, Jan Everhard Sahril Sabirin Samekto Wibowo Sri Hartati Suryadewiansyah, Muhammad Kamil Tahta Herdian Andika Talumepa, Renaldi Valentino Utomo Budiyanto Wahyu Caesarendra Wahyu Caesarendra Wahyudi Wahyudi Wibowo, Danang Harito Yazi Adityas Yuga Prasetyo Yuliazmi, Yuliazmi