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Hairani Hairani
Universitas Bumigora, Mataram, Indonesia
Arts 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 Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : Jurnal Teknologi dan Sistem Komputer

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K-means-SMOTE untuk menangani ketidakseimbangan kelas dalam klasifikasi penyakit diabetes dengan C4.5, SVM, dan naive Bayes Hairani Hairani; Khurniawan Eko Saputro; Sofiansyah Fadli
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 2, Year 2020 (April 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (73.3 KB) | DOI: 10.14710/jtsiskom.8.2.2020.89-93

Abstract

The occurrence of imbalanced class in a dataset causes the classification results to tend to the class with the largest amount of data (majority class). A sampling method is needed to balance the minority class (positive class) so that the class distribution becomes balanced and leading to better classification results. This study was conducted to overcome imbalanced class problems on the Indian Pima diabetes illness dataset using k-means-SMOTE. The dataset has 268 instances of the positive class (minority class) and 500 instances of the negative class (majority class). The classification was done by comparing C4.5, SVM, and naïve Bayes while implementing k-means-SMOTE in data sampling. Using k-means-SMOTE, the SVM classification method has the highest accuracy and sensitivity of 82 % and 77 % respectively, while the naive Bayes method produces the highest specificity of 89 %.
Co-Authors Abdurraghib Segaf Suweleh Abdurraghib Segaf Suweleh Afrig Aminuddin Ahmad Ahmad Ahmad Fathoni Ahmad Zuli Amrullah Andi Sofyan Anas Anggrawan, Anthony Bhintang Dirgantara Christopher Michael Lauw Dadang Priyanto Dedy Febry Rachman Dedy Febry Rahman Deny Jollyta Diki Ashadi Donny Kurniawan Dyah Susilowati Dyah Susilowati Dyah Susilowaty Fatimatuzzahra Fatimatuzzahra Gibran Satya Nugraha Gibran Satya Nugraha Hammad, Rifqi Haryono Haryono Hasbullah Hasbullah Herawati, Baiq Candra I Nyoman Switrayana Ida Putu Andika Ilham Saifuddin Indah Puji Lestari Juvinal Ximenes Guterres Juvinal Ximenes Guterres Khairan marzuki Khurniawan Eko Saputro Kurniawan Kurniawan Lalu Ganda Rady Putra Latif, Kurniadin Abd Lilik Nurhayati M. Ade Candra M. Rasyid Ridho Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Miftahul Madani Mokhammad Nurkholis Abdillah Mokhammad Nurkholis Abdillah Muhammad Arfa Muhammad Innuddin Muhammad lnnuddin Muhammad Maariful Huda Muhammad Ridho Hansyah Muhammad Zulfikri Muhammad Zulkarnaen Haris Mujahid Mujahid Ni Gusti Ayu Dasriani Noor Akhmad Setiawan Nurul Azmi Pahrul Irfan Putu Tisna Putra Ramadhanti Ramadhanti Rifqi Hammad Samsul Hadi Sofiansyah Fadli Syahrir, Moch. Teguh Bharata Adji Triwijoyo, Bambang Krismono Zilullah Nazir Hadi