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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Teknosains: Media Informasi Sains dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer REKAYASA JOIV : International Journal on Informatics Visualization Jurnal Teknologi Pendidikan Madrasah Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Applied Data Sciences Kawanua International Journal of Multicultural Studies Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) International Journal of Health and Information System (IJHIS) Jurnal Imu Pendidikan dan Keagamaan Ruang Komunitas : Jurnal Pengabdian Masyarakat
Tajuddin, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Physics Public Health Social Sciences Other

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Adaptive Integration of Optuna Optimization and Stacking Ensemble Learning for Automated Work Competency Classification Pratiwi, Mutiana; Defit, Sarjon; Tajuddin, Muhammad
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1228

Abstract

Artificial intelligence and machine learning are increasingly used to automate analytical and decision processes, including the evaluation of human competencies. However, traditional models often face challenges in accuracy and generalization when applied to linguistic data from interviews. This study aims to develop a model that integrates Optuna optimization and stacking ensemble learning to enhance the accuracy and interpretability of competency classification. Interview transcript data were processed using natural language processing techniques such as cleaning, tokenization, case folding, stopword removal, and stemming to ensure textual consistency. The text was then transformed into numerical representations using term frequency inverse document frequency weighting. To handle class imbalance, the synthetic minority oversampling technique was employed. Optuna was applied to optimize the hyperparameters of base models, including support vector classifier, Naïve Bayes, random forest, gradient boosting, and XGBoost. These optimized models were combined through a stacking ensemble to form the final classifier. The proposed model achieved an accuracy of 94 percent and a precision of 95 percent with macro and weighted F1 scores of 0.94. The results demonstrate stable and balanced performance across all competency categories, including analytical thinking, initiating action, problem solving, and work standards. Comparative analysis with previous studies in sentiment analysis, medical diagnosis, and financial forecasting confirmed that the integration of Optuna and stacking produces more robust and generalizable outcomes. The integration of Optuna optimization and stacking ensemble learning effectively improves classification performance while maintaining interpretability. The model demonstrates strong potential for automated competency evaluation in recruitment and human resource analytics. This framework can be extended to other linguistic datasets to support transparent and data-driven decision-making in artificial intelligence applications.
Co-Authors Abdul Aziz Abdul Muhid, Abdul Abu Bakar Agus Pribadi ahmad yani Ahmat Adil Akbar Juliansyah Aksa Aksa, Aksa Aldi, Febri Amra, Muhammad Fikri Ana Tsalitsatun Ni'mah Andi Hildayanti Andi Sofyan Anas Ardi, R Fanny Printi Asno Azzawagama Firdaus Awaluddin A., Muhammad Biabdillah, Fajerin Fathin, Alfidhah Hammad, Rifqi I Made Yadi Dharma Irfan, Ahmad Asrul Azwar Machrizzandi, M Sya'Rani Maesaroh, Dwi Titi Maknuniah, Jauharatul Masrifah, Rofiah Mildawati, Titi Muchtar, Azmy Ali Nadiroh, Nurlaila Nursalimah, Putri Pratiwi, Mutiana Printi Ardi, R. Fany Putra, Ondra Eka Rivai, Aspin Nur Arifin Santoso, Heroe Sarjon Defit Sa’adatai, Yuan Septiana, Vina Tri Setiawan, Adil Sonang, Sahat Sumijan Sumijan Syahroni Hidayat Syam, Febrianto Syuhada, Fahmi Triwijoyo, Bambang Krismono Umar, Kusnadi Yanto, Musli Yuhandri Yuhandri, Yuhandri Yuhandri, Y Yusuf, Siti Agrippina Alodia Zainal Abidin