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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Simantec POSITIF Sistemasi: Jurnal Sistem Informasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknologi dan Informasi Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Vokasi Journal of Artificial Intelligence and Engineering Applications (JAIEA) Proceeding Applied Business and Engineering Conference Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL Jurnal Sistem Informasi dan Manajemen eProceeding of TIK Jurnal Teknologi Rekayasa Informasi dan Komputer
Arhami, Muhammad
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Journal : POSITIF

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PERBANDINGAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) DAN NAÏVE BAYES DALAM KLASIFIKASI PENYAKIT DIABETES Desiani, Anita; Dewi, Novi Rustiana; Arhami, Muhammad; Sitorus, Dina Suzzete; Rahmadita, Suristhia
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 10 No 1 (2024): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v10i1.2092

Abstract

High levels of sugar in the blood can cause diabetes. The longer people are unable to control glucose in their blood, the more complications it can cause, other diseases and even death. Early detection of diabetes is needed, one way is by carrying out data mining classification. Data mining classification in this research uses two algorithms, namely SVM (Support Vector Machine) and Naïve Bayes. This research compares the two algorithms using two methods, namely training split and k-fold cross validation which aims to get the best classification results in detecting diabetes. The best classification results are determined by calculating the average value of precision, recall and accuracy. Based on this research, the SVM algorithm with split percentage training produces average values for precision, recall and accuracy, namely 77%, 71.5%, 77.27%, while the SVM algorithm with k-fold cross validation produces average values for precision, recall , and accuracy is 77%, 72.5%, 71%. The Naïve Bayes algorithm with the split percentage training method produces average values for precision, recall and accuracy, namely 75.5%, 74.5%, 79%, while the Naïve Bayes algorithm with k-fold cross validation produces average values for precision, recall, and accuracy of 75.5%, 74.5%, 75%. The best classification result in detecting diabetes is the Naïve Bayes algorithm, the split percentage method, which provides the best accuracy, precision and recall values above 74%.
Co-Authors ., Mursyidah Abdi, Musta’inul Adhimullah, Adhimullah Adriana Adriana Affandi, Azhar Kholiq Agustin, Riya Sri Al Fath, Muhammad Fajar Ali Amran Amirullah -, Amirullah Andhini, Shania Putri Anita Desiani Anwar Anwar Aulia, Annisa Rizka Azhar Azhar Davi, Muhammad Des Alwine Zayanti, Des Alwine Dian Cahyawati Fajriaty, Siti Fauzani, Lia Fitri, Intan Ginting, Rachel Ardana Putra Hendrawati Hendrawati Hendrawaty Hendrawaty, Hendrawaty Henisaniyya, Nabila Hidayat, Hari Toha Husaini Husaini Huzaeni, Huzaeni Indrawati Indrawati Insan, Jamalul Irmeilyana Isnani Isnani Kanda Januar Miraswan Khadafi, M. Khairunnas, Muhammad Fadil Kurniawati, Devy Mahdi Mahdi, Mahdi Mahmudah, Rifa’atun Masyitha, Masyitha Maulana, Muhammad Andra Meilisa, Dinda Meilvinasvita, Dwi Mesti, Mesti Mortara, Alda Amalia Muakhir, Muakhir Mufida, Nabila Muhammad Arifai Muhammad Davi Muhammad Nasir Muhammad Reza Zulman Muhammad Rizka, Muhammad Mulyadi Mulyadi Muzammil, Muzammil Nahar, Nahar Narti Narti, Narti Nasution, Siti Aisyah Novi Rustiana Dewi Nurakmalinda, Nurakmalinda Permatasari, Mitta Pertiwi, Citra Purnahar, Fadhil Rahmadhani, Syiva Rahmadita, Suristhia Raiyan, Muhammad Ramayanti, Indri Rifkie Primartha Rizqillah, Rizqillah Rudi F, Fachri Yanuar Safriadi Safriadi Safriani, Yuni Salahuddin Salahuddin Salahuddin Salahuddin Salnadila, Salnadila Sari, Suci Indah Sasongko, Muhammad Aditya Sitorus, Dina Suzzete Sri Indra Maiyanti Sugandi Yahdin Sugeng Santoso Sukma, Melati Dian Yadi Utama Yassir Yassir Yuli Andriani Yuliana Yuliana Zahara, Fitria