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Benchmarking Machine Learning Paradigms for Resume Screening on Imbalanced Data Fitri Noor Febriana; Ira Puspitasari
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.7123

Abstract

Manual resume screening is an inefficient and bias-prone process, yet comprehensive benchmarks of machine learning models on imbalanced, real-world recruitment data remain scarce. This study addresses this gap by benchmarking seven models from classical, ensemble, and deep learning paradigms for automated resume classification. Using a private dataset of 2,483 resumes across 24 job categories, this study evaluates the models with distinct TF-IDF and BERT embedding feature pipelines and an adaptive strategy for handling class imbalance (Class Weights, SMOTE, SMOTEENN). The results showed that the XGBoost model achieved the highest performance (weighted F1-score of 0.779), followed by the highly competitive BERT (F1 0.728) and Random Forest (F1 0.711) models. Despite these methods, all models struggled with extreme minority classes, confirming data scarcity as a primary limitation. This study provides a valuable benchmark and an evidence-based framework for HR practitioners, highlighting the critical trade-off between predictive performance (XGBoost), interpretability (Random Forest), and semantic capability (BERT). The findings conclude that the primary challenge is data representation, steering future work towards data augmentation and fairness audits.
Co-Authors Abd Raihan Achmad Djunawan Ahmad Syamsul Falah Akhbar, Try Kurniawan Ani Media Harumi Anip Febtriko, Anip Annisah, Annisah Aprila, Nila Arisandi, Diki Atmaranti, Salsabila Devina Aulia, Yulianti Badrus Zaman Citra Nurina Prabiantissa Denny Adi Prasetyo Dian Priharja Putri Diana Dwi Purwanti Edy Haryanto Endro Yulianto Enny Mar’atus Sholihah Ervi Husni, Ervi Fadhillah, Muhamad Fikri Fahmi, Moh Farih Fandhilah Fandhilah FATIMAH FATIMAH Febdian Rusydi Ferry Kriswandana Fetreo Negeo Putra Firstiana, Amelia Fitri Noor Febriana Ginarsih, Yuni Harlina . Haryati, Dewi Heryanto Adi N Hilmi Yumni I Dewa Gede Hari Wisana Imam Sarwo Imam Yuadi Irianti, Rosi Irwan Sulistio Isfentiani, Dina Isnanto Juliana Christyaningsih Kartanti, Maya Laura Navika Yamani Lengari, Cristiany Gunu Liliek Soetjiatie Luthfi Rusyadi Maftahatul Hakimah, Maftahatul Mahendra, Victoria Lucky Malena, Yeyen Mamat Supriyono Melania Rizerda Pebianti MINARTI Moch. Dicky Riza Nanang Fakhrur Rozi Ni Made Suci Sukmawati Noorminshah A. Iahad Novita Sari Nurdin, Muhammad Irfan Nurhazizah, Elwin Dewi Pakage , Ferdinant Pradhana, Andrea Thrisiawan Purbandini Soeparman, Purbandini Puspita Zella Wigati Putra, Danang Adi Rahmatullah, Ridhwan Muhammad Fauzan Retno Sasongko Wati Rizky Amalia Rokhmalia, Fitri Rousyati Rousyati Sari, Ira Rahayu Tiyar Sembiring, Rinawati Setiawan, Ainur Rahim Sherly Jeniawaty Sinaga, S. Bungaran Siti Mar'atus Siti Masitoh Slamet Wardoyo SRI UTAMI Sulistyowati, Dwi Wahyu Wulan Susilo, Tri Achmad Budi Suyoso, Aldo Lovely Arief Tatarini Pipit Ika Cahyani Taufiqurrahman Tries Edy Wahyono ulfa hidayah Upin, La Ode Widjanarko , Bambang Wijayati, Indah Oktari Wyssie Ika Sari Yasin, Affan Zakiyyah, Amirah Zidny, Irvan