Automatic Detection of Skin Diseases Using Convolutional Neural Network Algorithms

Authors

  • Tundo Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
  • Fadillah Abi Prayogo Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
  • Sugiyono Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

DOI:

https://doi.org/10.35870/ijsecs.v4i3.3021

Keywords:

Automated Detection, Skin Diseases, Convolutional Neural Network

Abstract

Skin diseases are a major health concern in Indone sia and they can seriously impact a patient’s quality of life. The problem is aggravated by humid tropical climate, limited access to healthcare facilities, and a lack of trained dermatology personnel. The cases in Indonesia are many, and the diagnosis and treatment of skin diseases are delayed, which makes the patient's condition worse. Based on data from the Ministry of Health (Kemenkes), the prevalence of skin disease in Indonesia is 0.62 cases per 10,000 population with the highest prevalence in Eastern Indonesia. Developing a Skin Disease Detection System Based on Convolutional Neural Network (CNN) algorithms. However, CNN algorithms are widely used in image recognition and classification, and can act as an automatic diagnostic system. This system has been developed to aid in diagnosis and improve patient access to dermatological care, especially for remote communities. Users can reach out for services at any time and any location, a practical solution for treating skin health problems. This study's results are anticipated to lower the diagnostic delays and improve the treatment outcomes while offering quick access to reliable dermatological service. This is a great effort on global level for any skin disease supporting to improve life of human lives from skin health issues.

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Author Biographies

  • Tundo, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

    Informatics Engineering Study Program, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia

  • Fadillah Abi Prayogo, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

    Information Systems Study Program, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia

  • Sugiyono, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

    Information Systems Study Program, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia

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Published

2024-12-01

Issue

Vol. 4 No. 3 (2024): DECEMBER 2024

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Copyright (c) 2024 Tundo, Fadillah Abi Prayogo, Sugiyono

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How to Cite

Tundo, Prayogo, F. A., & Sugiyono. (2024). Automatic Detection of Skin Diseases Using Convolutional Neural Network Algorithms. International Journal Software Engineering and Computer Science (IJSECS), 4(3), 896-907. https://doi.org/10.35870/ijsecs.v4i3.3021

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