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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sinkron : Jurnal dan Penelitian Teknik Informatika Infotekmesin Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Blend Sains Jurnal Teknik
Muhammad, Kukuh
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Infotekmesin

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Support Vector Machine (SVM) - Based Optimization of Leukemia Cell Image Classification Wanti, Linda Perdana; Romadloni, Annisa; Muhammad, Kukuh; Supriyono, Abdul Rohman
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.2974

Abstract

Leukemia is a type of blood cancer characterized by the uncontrolled proliferation of abnormal white blood cells that originate from the bone marrow. Early detection of leukemia poses a significant challenge in the medical field, as the conventional diagnostic process still relies on manual microscopic observation by hematologists, which is time-consuming and prone to subjective errors. This study aims to analyze the potential of the Support Vector Machine (SVM) algorithm in optimizing the classification of leukemia cell images based on morphological and texture features extracted from microscopic images. The test results show that the SVM model with the RBF kernel provides the best performance with an accuracy of 96.4%, a precision of 95.8%, a recall of 96.1%, and an F1-score of 96.0%, surpassing the results of linear and polynomial kernels. The analysis shows that the use of a combination of shape and texture features has a significant effect on improving classification accuracy.
Co-Authors Annisa Romadloni Fazar Sidik Joko Purwanto Joko Purwanto Mahardika, Fajar Muhammad Abdul Muin Nugroho, Adlan Pari, Riki Aldi Rahmawan Bagus Trianto Rizki Ripai Shandy, Sony Veri Supriyono, Abdul Rohman Wanti, Linda Perdana