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Nizirwan Anwar
Teknik Informatika / Fakultas Ilmu Komputer, Universitas Esa Unggul
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Journal : Jurnal Mantik

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Design and development of skin disease detection application in humans using computer vision Krisogonus Wiero Baba Kaju; Nizirwan Anwar; Agung Mulyo Widodo; Binastya Anggara Sekti
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4681

Abstract

Skin diseases are abnormal conditions affecting the outer layer of the human body. The prevalence of skin infections worldwide reaches 300 million cases per year, with Indonesia contributing significantly, mainly due to the tropical climate and dense population. Factors such as air temperature, environmental cleanliness, personal hygiene, and the lack of public knowledge about skin hygiene can trigger various types of skin diseases. Skin diseases are often considered trivial as they do not cause death, yet if not promptly and accurately addressed, they can lead to spreading and difficulties in treatment. Analyzing skin diseases requires a high level of knowledge, and accurate diagnosis often presents a challenge. The success of diagnosis heavily relies on the experience of doctors, with some limitations involving subjective assessments and variations among experts. This research aims to design an artificial intelligence (AI)-based application that can quickly and accurately diagnose various types of skin diseases in humans. The application utilizes Deep Learning technology, employing the MobileNet model in Computer Vision to identify skin disease types based on images provided by the user. The system development method used is the AI Project Cycle, encompassing stages such as problem scoping, data acquisition, data exploration, modeling, evaluation, and deployment. Model evaluation results demonstrate good performance with an accuracy rate of 96%, precision of 96%, an f1 score of 95%, and a recall of 95%. The resulting application not only provides diagnoses but also offers information about symptoms, causes, and methods of handling the identified skin diseases
Co-Authors Achmad Fansuri Adikara, Fransiskus Agung Mulyo Widodo Agung Mulyo Widodo Agung Mulyo Widodo Agung Mulyo Widodo Agus Herwanto Agus Satriawan Ahmad Muhammad Thantawi Ahmad Muhammad Thantawi Alivia Yufitri Alivia Yulfitri Alpa Sundari Meganingrum Andri Kurnia Maulana Andy Julianto Anindya Billa Mustika Annisa Dwi Anggri Ari Anggarani Winadi Prasetyoning Tyas Ari Pambudi Atik Rizkiyani Bambang Irawan Bambang Irawan Bambang Irawan Binastya Anggara Sekti Binastya Anggara Sekti Budi Tjahjojo Budi Tjahjono Budi Tjahjono Calvin Ramadhani Alfahrezi Dewanto Rosian Adhy Diana Novita Doni Antoro Dwi Rohman Soleh Dwi Setiyadi Eko Prasetyo Emon Sulaksana Erry Yudhya Mulyani Erry Yudhya Mulyani Erry Yudhya Mulyani Erry Yudhya Mulyani Erry Yudhya Mulyani Euis Heryati Euis Sadeli Evi Martaseli Fachmi Tamzil Fahreza Bahran Febrianty Febrianty Febrianty Febrianty Febrianty Mustafa Fikri Saefullah Habibullah Akbar Hendra Bratanata Hendry Gunawan Ichwani, arief Iksan Ramadhan Iksan Ramadhan Ilham Banuaji Iwan Setiawan Izhar Rahim Jefry Sunupurwa Asri JUANDRI Junaidi Junaidi Kartini Kartini Kartini Kartini Khairul Fadhly Kiyota Hashimoto Krisogonus Wiero Baba Kaju Kundang Karsono Kundang Karsono Kundang Karsono Juman Kundang Karsono Juman Kundang Karsono Juman Kundang Karsono Juman Kundang Karsono Juman Kus Hendrawan Muiz Lista Meria Lista Meria Lista Meria M. Hadi Arfian Mariyana Masmur Tarigan Miliyantri Elvandari Mohamad Alrifqi Mr Zulhaimi Muhamad Bahrul Ulum Muhamad Bahrul Ulum Muhamad Magfur Muhammad Abduh Muhammad Abdullah Hadi Muhammad Abdullah Hadi Muhammad Hadi Arfian Mukhamad Abduh Mukhamad Abduh Munawwar Munawwar Mustika, Anindya Billa Nina Nurhasanah Nixon Erzed Nixon Erzed Nixon Erzed Nugroho Budhi Santosa Nur Widiyasono Nur Widiyasono Nurhasanah, Nina Panji Kuncoro Hadi Popong Setiawati Purwano SK Randy Swandy Ratnawati Susanto Rendi Satria Rian Adi Pamungkas Riya Widayanti Rizki Faro Khatiningsih Rizki Ramadhan Rizki Reza Saputra Roesfiansjah Rasjidin Roesfiansjah Rasjidin Rudi Heri Marwan Rudi Hermawan Rudy Setiawan Safrizal Safrizal Setiyati, Ritta Siti Komsiah Siti Komsiah Sularso Budilaksono Sularso Budilaksono Tarigan, Masmur Tjahjono, Budi Tri Ismardiko Tri Ismardiko Tri Ismardiko Widyawan Ummanah Ummanah Ummanah Ummanah Ummanah, Ummanah Vitri Tundjungsari Wahyu Son Haji Warnars, Harco Leslie Hendric Spits Widodo, Agung Mulyo Yanathifal Salsabila Anggraeni Yulhendri Yulhendri Yulhendri, Yulhendri