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Harianto
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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

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Improving Imbalanced Polycystic Ovary Syndrome Classification Using a Leakage-Free Machine Learning Pipeline Permana, Baiq Andriska Candra; Zulkipli; Muhammad Wasil; Harianto
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16752

Abstract

Polycystic Ovarian Syndrome (PCOS) is a complex endocrine disorder affecting women of reproductive age and poses challenges for early diagnosis due to heterogeneous clinical presentations and imbalanced clinical datasets. This study aims to develop a data leakage–free machine learning pipeline to enhance the accuracy and reliability of PCOS classification using clinical data. The dataset underwent preprocessing and normalization, followed by stratified data splitting with an 80:20 ratio to maintain class proportions. The proposed pipeline was implemented within a unified computational framework integrating feature selection based on the ANOVA F-test, class imbalance handling using the Synthetic Minority Over-sampling Technique (SMOTE), and classification using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel. Hyperparameter tuning was performed using GridSearchCV combined with K-Fold Cross-Validation to ensure model robustness and consistency. The experimental results indicate that the proposed model achieved an accuracy of 0.9074, with precision, recall, and F1-score values of 0.8378, 0.8857, and 0.8611, respectively. Furthermore, ten dominant clinical features were identified, primarily related to hormonal profiles and ovarian morphology. These results demonstrate that the data leakage–free pipeline improves the validity and stability of PCOS prediction. The findings suggest that this approach may serve as a supportive tool for clinical decision-making, particularly in facilitating early and objective identification of PCOS.
Co-Authors Achmad Suryana, Achmad Adi Kurniawan Saputro Ahmad Arbiansyah Aisyah Akriandi Amin Alfian Fawzi Allo, Karmila Pare Amiruddin Amzul Rifin Andi Ahmad Saugi Suloengka Angghita Muthiara Yusfadhila Anita Wulandari, Anita Apriansyah Ario, Firman Aris Sudianto Arnada, Feby Asep Taryana Ashabul Kahpi Asharuddin, Muh. Asrul Atthaariq Maulana, Muhammad Azam Yusbyakto Azizah, Wafiq Baiq Andriska Candra Permana Bambang Martin Baru Basuki Rahmat Berlian Bunga Sari Budi Mulyanto Cila Apriande Danindra, Fuad Dedi Budiman Hakim Deva Bipasha Esha Shif Dasani Devianto, M. Rizky Dhian Eka Wijaya Dini Ikayanti DWI BHAKTI INDRI Endang Murti Farida Fariyanti, Anna Fawwaz Febriansyah, Rizky Alief Feryanto Fikri Santoso Harjowinoto Firman Mardiansyah Gandhy, Abel Gempo, Yesti Merlin Gultom, Gusti Artama Haliq, Muh. Idham Hamzan Ahmadi Harahap, Ramadhan Hardman Budiardjo, Hardman Harmini Hartoyo Hartoyo Hartoyo Hasanah, Novri Eka Nur Hasibuan, Hasbi Anshori Helena, Shifa Herawati Heri Pratikno Ida Retno Moeljani Ida Wahidah Ifa Nurasykin Ikha Safitri Imam Fathurrahman Imam mahfuz hulaimi Indra Gunawan Indra Maya Iriyanti, Maulina Irmawati Jumawal Koko Joni Kushadiwijayanto, Arie Antasari Lalu Kerta Wijaya Lalu Kertawijaya LUBIS, ARMANSYAH Lumbangaol, Santo Lumpiha, Uing Stevrian M. Syamsul Maarif Mahpuz Mahyudin Makmur Manalu, Doni Sahat Tua Maslani Masrianto Mawar Mega Sari Juane Sofiana Mifta Fadhli As’ad Mochamad Nurdin Muh Amar Muh. Kamarur Rijali Hilali Muh. Sofyan Muhammad Djamaluddin Muhammad Isbar Pratama MUHAMMAD LUTFI Muhammad Rifki Nisardi Muhammad Rifki Nisardi Muhammad Sadali Muhammad Sarjan Muhammad Wahyu Afandi Muhammad Wasil Muhammad Wasil Muhlis Hajar Adiputra Musayyanah Musayyanah Musayyanah Muzaffar Nasution, Muhammad Iqbal Nimmi Zulbainarni Nislaini Nisrochah Sholihah Nora Idiawati Nur Afni Evalia Nur Ahniyanti Rasyid Nur Ahyaniyanti Rasyid Nur Amin Nur Fadilah Nur Fajrianti D Nurdiansyah, Syarif Irwan Pattiasina, Trees Augustine Pauladie Susanto Pratama, Deny Pratama, Rizky Anugrah Prayitno, Dwi Imam Putri, Indira Rosandry Ajeng Syah Rachmadi, Afif Ramlawati Ricka Handayani Rika Lidyah Rita Nurmalina Riza Alfita Rizal Syarief Rosiana, Nia rusdiana Sadali, Muhamad Saraswati, Ria Indah Sari, Fadhila Cynthia Simatupang , Nurmalasari Siregar, Aulina Safitri Siti Aminah Hasibuan Sitti Aisyah Abdullah Sri Wahyuni Sri Wahyuni Nurzak Suardi Sudiyarto Sugoto, Himawan Arief Suharno Suhartini Sukal Minsas Surya Darma Suryana, Anggita Suryani, Tri Nila SUSANTI Tia Nuraya TITIN HARTINI Triana Gita Dewi Ulfatun Hasanah Utami, Anisa Dwi Wahyuni, Maya Sari Warsidah, Warsidah Weny Indah Kusumawati Weny, Weny Indah Kusumawati Widiawati, Wilda Widjajani, Bhakti Wisnu Yazid, Abdul Yonda, Ade Yosef Richo Adrianto, Yosef Richo Yosefine Triwidyastuti Yusman Syaukat Yusril Hadi Yusuf Arief Nurrahman Zulkarnaen Zulkipli