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All Journal Al-Kimia Jurnal Teknologi Dirgantara Metalurgi Journal of Advanced Health Informatics Research Indonesian Journal of Aerospace
Jihad, Bagus Hayatul
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Aerospace Engineering Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health

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Journal : Journal of Advanced Health Informatics Research

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Classification of Skin Disease Images Using K-Nearest Neighbour (KNN) Ari Peryanto; Susanto, Dwi; Jihad, Bagus Hayatul
Journal of Advanced Health Informatics Research Vol. 2 No. 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v2i3.300

Abstract

The skin is the outermost part of the human body that is often exposed to the environment, so it is easy to experience disease disorders. Some of the skin diseases that are often contracted in humans are ulcers, herpes, and warts. Untreated skin diseases will be very annoying because of the sensation of itching so it can cause irritation and inflammation. The ability to classify skin diseases using technology is one solution. This study uses the K-Nearest Neighbour (KNN) method to detect images of skin diseases. KNN is one of the machine learning methods with a calculation method based on the proximity of k. KNN was chosen because it is fast and has high-accuracy results. The results of the research that has been carried out have obtained results of accuracy of 63%, precision of 63%, recall of 63%, and F1 Score of 63%. From the results of the study, it can be concluded that disease detection using KNN has been successfully applied and can be used in classification.
Co-Authors Abrizal, Haryadi Achmad, Tria Laksana Akhmad Ardian Korda, Akhmad Ardian Asraf, Ahmedi Basuki, Eddy Agus Budi Prawara Djoko Hadi Prajitno Dwi Susanto Fadhli Muhammad Junjunan, Soleh Fajar Juwono, Ariadne Lakshmidevi Juwono, Ariadne Laksmidevi Lestari, Ernyta Mei Nugraha Thaha, Yudi Nugroho, Yuniarto Wimbo Peryanto, Ari Setianto, Muhamad Hananuputra