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Journal : Journal of Technology and Informatics (JoTI)

Pemanfaatan Machine Learning dalam Prediksi Rating: Studi Kasus pada Data Abstrak Publikasi Ilmiah Zaqi Megantara, Rizky; Iryanto Faot, Pace; Haba Ito, Ridolof; Felicia Annabel, Kathleen; Karnalim, Oscar
Journal of Technology and Informatics (JoTI) Vol. 7 No. 1 (2025): Vol. 7 No.1 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i1.999

Abstract

As the volume of scientific publications increases, the need for automated approaches to evaluate and analyze abstracts becomes increasingly important. This research not only aims to predict the abstract rating of scientific publications using machine learning algorithms, but also offers a unique approach by integrating regression and classification analysis to evaluate the relevance of abstracts more comprehensively. Four main models, namely XGBoost Regressor, Random Forest Regressor, Support Vector Regressor (SVR), and K-Nearest Neighbors Regressor (KNN), are evaluated for this task. The dataset is processed through preprocessing stages which include removing duplications, text representation using TF-IDF, handling data imbalances with Synthetic Minority Oversampling Technique (SMOTE), and dimension reduction using Truncated Singular Value Decomposition (SVD). The research results show that SVR provides performance the best with the lowest Mean Absolute Error (MAE) value of 0.4980, Mean Squared Error (MSE) of 0.5237, and the highest R² of 0.7321. XGBoost and Random Forest show competitive performance with advantages in computational efficiency and prediction stability respectively, while KNN provides varying results depending on the data distribution. Dimensionality reduction using Truncated SVD successfully preserves more than 70% of the initial variance, enabling higher computational efficiency without losing important information. This research makes a significant contribution in supporting machine learning-based decision making, especially in the analysis of abstracts of scientific publications. This approach can be further developed through exploration of ensemble or hybrid models, as well as testing on larger datasets to improve generalization and accuracy.
Co-Authors ADELIA Adelia Adelia, Adelia Aditya Permadi Aditya Permadi Aldi Aldiansyah Andreas Widjaja Andreas Widjaja Andrisyah Andrisyah Andrisyah Andrisyah Annabel, Kathleen Felicia Avinash, Avinash Aziz Mu’min Bayu Rima Aditya Bertha Alan Manuel Bertha Alan Manuel Daniel Jahja Surjawan Devion Tanrico Diana Trivena Yulianti Dina Fitria Murad Dina Fitria Murad Doro Edi Egie Imandha, Egie Elvina Elvina Elvina Elvina Erico Darmawan Handoyo Fathul Jannah Felicia Annabel, Kathleen Felix Christian Jonathan Felix Christian Jonathan Felix Christian Jonathan Gisela Kurniawati Haba Ito, Ridolof Hapnes Toba Hendra Bunyamin Hendra Bunyamin Hendra Bunyamin Irawan Nurhas Iryanto Faot, Pace Ivana Valentina Johan, Meliana Christianti Julianti Kasih Julianti Kasih, Julianti Kurniawan, Phin Kurniawati, Gisela Kusman, Vardina Nava Madya Lemmuela , Ivana Valentina Liliawati, Swat Lie Lisan Sulistiani Lucky Christiawan Lucky Christiawan, Lucky Majiah, Arya Tri Putra Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Marlina Marlina Martua, Juan Sterling Metayani, Vanessa Mewati Ayub Mulyono, Yovie Adhisti Mu’min, Aziz Oscar Wongso Pangestu, Muftah Afrizal Panji Yudasetya Wiwaha Rachmi Rachmadiany Ricardo Franclinton Risal Risal Risal Robby Tan Rossevine Artha Nathasya Ruis, Nisa Deviani Agustin Samosir, Moses Marzuki Santiadi, Sherly Sendy Ferdian Sujadi Setia Budi Setia Budi Setiawan, Yehezkiel David Simalango, Veronica Marcella Angela Sofriesilero Zumaytis Sulaeman Santoso Sulistiani, Lisan Tanrico, Devion Teddy Marcus Zakaria Teddy Marcus Zakaria Tendy Cahyadi, Tendy Tjatur Kandaga Valentina, Ivana Vanessa Metayani Vardina Nava Madya Kusman Vincent Elbert Budiman Wenny Franciska Senjaya Wijaya, Bernadus Indra Wiwaha, Panji Yudasetya Yan Sen Paulus Yudha, Laurentius Gusti Ontoseno Panata Zaqi Megantara, Rizky