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Amelia, Rika
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analisis Pengaruh Pembagian Data terhadap Kinerja Algoritma Naive Bayes dalam Prediksi Penyakit Diabetes pada Wanita Amelia, Rika
Polyscopia Vol. 3 No. 2 (2026)
Publisher : Medan Resource Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57251/polyscopia.v3i2.1992

Abstract

This study examines how variations in training–testing data partition ratios influence the performance of the Naive Bayes algorithm in predicting diabetes among women, addressing the problem of whether different split proportions meaningfully affect classification outcomes. Employing a quantitative experimental design, the research utilizes the Pima Indians Diabetes dataset comprising 768 records, which undergo preprocessing prior to model development using the Gaussian Naive Bayes method across three partition scenarios: 70:30, 60:40, and 50:50. Model performance is assessed through accuracy, precision, recall, and F1-score to capture both predictive correctness and class sensitivity. The findings demonstrate that variations in data partitioning exert no statistically significant effect on overall model performance, as accuracy consistently ranges between 76% and 79% across all scenarios. Models trained with as little as 50% of the dataset still achieve comparable predictive capability, indicating stable generalization of the algorithm. The study argues that once a minimum threshold of training data is achieved, increasing data proportion does not substantially enhance performance, while class imbalance emerges as a more decisive factor influencing the effectiveness of diabetes prediction.
Co-Authors A, Mohamad Fajar Abdul Gazir Syarifudin Adella, Reghina ADI ROSADI Afianto, Rizky Agustin, Nemia Ahmad Haromaini Amalia, Salsabila Anggreny, Yecy Annisa , Dea Annisa Rachmawati Anti, Tika Roro Azriyah, Azriyah B.A.P, Silvy Kanawanti Bupu, Regina Chairunnisa, Nadine Zahra Cordia, Petra Diningsih, Fitria Elvira Destiansari Fadia, Rahma Fahira, Diana Fajrin, Anita Megawati Fathia, Raissa Fauziah, Nita Arini Febiana, Via Guna, Bayu Cakra Habiburrohman, Muhammad Hakim, Moch. Abdul Malik Hanawati Hanifah, Dinah Hasanah, Alfi Nur Hasanah, Indah Mauludina Hasibuan, Ahmad Rusdi Pasya Heris Hendriana Hia, Angel Christin Hidayana, Rizki Hidayana, Rizki Apriva Hidayati, Desi Hilma Harmen Hindiarti, Yudita Ingga Ibrahim Mifthafariz Mirza Ida Widiawati, Ida Irmansyah, Athaya Zahrani Jefik Zulfikar Hafizd Juainah, Norma Karim, Noer M. Abdul Khan, Muhammad Fardeen Khasanah, Siti Zaidatul Kholipah, Nenden Siti Nur Loranty Folia Simanjuntak Maftucha, Nissa Manalu, RosarioTrijuliamus Manuela, Angellyca Leoni Marni, Erna Megantara, Tubagus Robbi Megantara, Tubagus Robby Muh. Hasan Marwiji Muhamad Parhan Mulyo, Lukman Widoyo Muzayyin, Muzayyin Nahda, Najwa Nahda Nenden Siti Nurkholipah, Nenden Siti Nisa, Puspita Chairun Normalia, Nita Noviyanti, Alinda Nur Aeni, Ani Nuraini, Sukaesih Intan Nurherawati, Irma Nurhidayah, Nita Nursanti Anggriani Nuryani Nuryani Oktaviani, Tabitha Pangaribuan, Hawila Sabta Prasetyo, Fadhlan Pratama, Hendi Yoga Purnama S, Mei Linda Puspitosari, Jathu Putrida, Tantri Ratna Indriawati, Ratna Razek, Abdur Riska, Ifroh Naila Risma Amelia, Risma Ritonga, Marito Rosiman, Rosiman Sa'adiyah, Imas Santi, Indriana Laila Saputri, Romadhiyana Kisno Septiani, Atikah Sihombing, Dionisius Sihombing, Melati Siregar, Waidan Nur Siti Aisyah Siti Khoirun Nisak Sofyan, Rhisma Al-Vyanie Sri Fajar Br. Aritonang, Paulina Subekhi, Andri Sulistiawati Suminar, Ratna Sunita Dasman Susanti, Fahmi Susy Amizera Syahira , Adella Devany Syahira, Adella Devany Wardani, Wanda Putriana Wiatiningsih, Neni Nuraeni Wibisono, Ian Ainun Widayani, Wiwin Widiyawati Widyawati, Inayah Wulan Anggraeni, Wulan Yani’ Qoriati Yuningsih, Fajrin Yuningsih, Siti Hadiaty Yusnita Fitrianna, Aflich Zahira, Tira Al