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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics JOIN (Jurnal Online Informatika) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Teknik Elektro dan Komputer TRIAC PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) JHCLS SmartComp Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Christian Sri kusuma Aditya, Christian Sri kusuma
Teknik Informatika, Institut Teknologi Sepuluh Nopember
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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Job Recommendation for Fresh Graduates to Reduce Competency Gaps Using Content-Based Filtering and Retrieval-Augmented Generation Rahmawati, Iftitah Yanuar; Mufarihati, Felda; Aditya, Christian Sri Kusuma
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5723

Abstract

Job recommendation systems are frequently used to help job seekers find suitable positions. Nevertheless, many existing systems focus primarily on accuracy and provide limited justification. This lack of openness can erode user confidence, particularly among recent grads who need a clear explanation of how their individual experiences fit the recommendations. Furthermore, these systems frequently lack sophisticated methods to explain the reasoning behind the recommendations, such as Retrieval-Augmented Generation (RAG), which makes them seem impersonal and difficult to trust. The purpose of this research is to develop an explainable job recommendation system that generates employment suggestions based on language comprehension by integrating RAG and Content-Based Filtering (CBF). User profiles and open positions are displayed using TF-IDF and Sentence-BERT, and then the experience level-based cosine similarity is calculated. To measure competency coverage, matching and absent skills are identified in an explicit skill-gap analysis. The Large Language Model and FAISS-based RAG modules leverage the explanations that are produced by finding matched and missing abilities as context. The CBF approach was used to evaluate recommendation relevance, while BLEU and ROUGE on ten test documents were used by HR specialists for validation. The system's mean ROUGE-1 F1 score was 0.4659, and its mean ROUGE-L score was 0.2918, based on 10 evaluation cases. Results show that the proposed recommendation system provides accurate and adequate guidelines based on HR references. This paper enriches Informatics by consolidating semantic similarity modeling, explicit competency-gap reasoning, and grounded text generation together to form a cohesive explainable recommendation framework targeted to cold-start job seekers.
Co-Authors Agus Zainal Arifin AINA, LISTYA NUR Aji, Bayu Puspito Alif Akbar Fitrawan, Alif Akbar ASHURI, PUTRI INTAN Atsqalani, Hasbi CAHYANI, INDAH ARDHIA Chandranegara, Didih Rizki Darmawan, Fathul Agit Diana Purwitasari Dinanthi, Devi Aprilya Evi Dwi Wahyuni Ferdiansyah, Danny Ferdiansyah, M.Firdaus Ibadi Firdausita, Nuris Sabila Handoko, Chanavaro Bayu K., Halif Fachrizal Erliawan Kusumo, Wisnu Prayogo Lailiyah, Asmaul Mamluatul Hani’ah Mauludin, Muhammad Bima Mufarihati, Felda Muhammady, Dignifo Nauval Nadya, Fhara Elvina Pingky Nugraha, Haidar Aldy Eka Nur Hayatin Nur Putri Hidayah Purwandhani, Septiannisa Alya Shinta Rahmawati, Iftitah Yanuar Ramadanti, Elisa S, Vinna Rahmayanti Sajiatmoko, Aletta Agigia Novta Salma, Rania Alfita Sunan, Rohid Aji Ujilast, Novia Adelia Uwar, Tarissa Rizky Salsabiila Wicaksono, Galih Wasis Wiyono, Briansyah Setio Yuda Munarko Yufis Azhar