Android-Based Herpes Disease Detection Application using Image Processing

Authors

  • Arif Rahman Hakim Universitas Medika Suherman
  • Dewi Marini Umi Atmaja Universitas Medika Suherman, Indonesia
  • Tugiman Universitas Medika Suherman, Indonesia
  • Amat Basri Universitas Medika Suherman, Indonesia

DOI:

10.33395/sinkron.v8i1.11913

Keywords:

Adadelta Optimizer, Android, CNN Algorithm, Herpes, Image Processing

Abstract

Herpes is a viral infection that causes a skin disease that is widespread throughout the world. Herpes virus is a DNA virus transmitted via infected skin, saliva, and other body fluids. Herpes is characterized by chickenpox-like nodules in one area of the skin, swollen tissue surrounding the nodule, and blister formation on the nodule. Digital image processing that can detect herpes disease is anticipated to reduce physical contact between physicians and patients during skin disease diagnosis. This study's methodology includes collecting data on herpes disease, developing machine-learning models using the CNN algorithm, and deploying the model as an Android application. This study makes use of actual data collected via smartphones, Pocket Cameras, and internet-sourced photographs. The data include 12,645 images of skin affected by herpes and normal skin. Using 100 epochs and the Adadelta optimizer, the accuracy of this study is 85 percent.

GS Cited Analysis

Downloads

Download data is not yet available.

References

A., Aditya, Sharad N., Rahul M., Atharva S., and Shubham A. 2017. “Heart Disease Prediction System Using Multilayered Feed Forward Neural Network and Back Propagation Neural Network.” International Journal of Computer Applications 166(7):32–36.

Amaanullah, Rizki Rafiif, Gracia Rizka Pasfica, Satria Adi Nugraha, Mohammad Rifqi Zein, and Faisal Dharma Adhinata. 2022. “Implementasi Convolutional Neural Network Untuk Deteksi Emosi Melalui Wajah.” JTIM : Jurnal Teknologi Informasi Dan Multimedia 3(4):236–44. doi: 10.35746/jtim.v3i4.189.

Bonita, Laissa, and Murtiastutik Dwi. 2017. “Gambaran Klinis Herpes Simpleks Genitalis ( A Retrospective Study : Clinical Manifestation of Genital Herpes Infection ).” Periodical of Dermatology and Venereology 29(1):30–35.

Bonita, Laissa, and Dwi Murtiastutik. 2017. “Gambaran Klinis Herpes Simpleks Genitalis ( A Retrospective Study : Clinical Manifestation of Genital Herpes Infection ).” Periodical of Dermatology and Venereology 29(1):30–35.

Dewi, Nadia Rosmalia, and Dian Isti Anggraini. 2020. “Penatalaksanaan Holistik Penyakit Herpes Zoster Pada Pasien Remaja Laki-Laki 15 Tahun Dengan Pendekatan Kedokteran Keluarga Holistic Management of Shingles on 15 Years Old Adolescent Boy Through Family Medicine Approach.” Medula 10(3):461–69.

Dyah, Nendika, Ayu Murika, and Eki Dyan Larasakti. 2021. “Transmisi Dan Reaktivasi Virus Herpes Simpleks Tipe 1.” Jurnal Kesehatan Gigi Dan Mulut (JKGM) 3(1):1–6.

Gautama, Tjatur Kandaga, Antonius Hendrik, and Riskadewi Hendaya. 2016. “Pengenalan Objek Pada Computer Vision Dengan Pencocokan Fitur Menggunakan Algoritma SIFT Studi Kasus: Deteksi Penyakit Kulit Sederhana.” Jurnal Teknik Informatika Dan Sistem Informasi 2(3):437–50. doi: 10.28932/jutisi.v2i3.554.

Hanin, Muhammad Atsil, Raditiana Patmasari, and R. Yunendah Nur. 2021. “Sistem Klasifikasi Penyakit Kulit Menggunakan Convolutional Neural Network ( Cnn ) Skin Disease Classification System Using Convolutional Neural Network ( Cnn ).” E-Proceeding of Engineering 8(1):273–81.

Haryadi, Deny, Arif Rahman, Dewi Marini, Umi Atmaja, and Syifa Nurgaida. 2022. “Implementation of Support Vector Regression for Polkadot Cryptocurrency Price Prediction.” 6(May):201–7.

Joshi, Snehal K. 2022. “Comparison and Performance Evaluation Using Convolution Neural Network-Based Deep Learning Models for Skin Cancer Image Classification.” Advances in Deep Learning for Medical Image Analysis 53–68.

Kasim, Nanang, and Gibran Satya Nugraha. n.d. “PENGENALAN POLA TULISAN TANGAN AKSARA ARAB MENGGUNAKAN METODE CONVOLUTION NEURAL NETWORK (Handwritten Arabic Script Recognition Using Convolution Neural Network ).”

Khemphila, Anchana, and Veera Boonjing. 2011. “Heart Disease Classification Using Neural Network and Feature Selection.” 2011 21st International Conference on Systems Engineering.

Khoiruddin, Mohtar, Apri Junaidi, and Wahyu Andi Saputra. 2022. “Klasifikasi Penyakit Daun Padi Menggunakan Convolutional Neural Network.” Journal of Dinda : Data Science, Information Technology, and Data Analytics 2(1):37–45. doi: 10.20895/dinda.v2i1.341.

Kumar, V. Vinoth, K. M. Karthick Raghunath, N. Rajesh, Muthukumaran Venkatesan, Rose Bindu Joseph, and N. Thillaiarasu. 2021. “Paddy Plant Disease Recognition, Risk Analysis, and Classification Using Deep Convolution Neuro-Fuzzy Network.” Journal of Mobile Multimedia.

Lamiell, J. M., J. A. Ward, and J. K. Hilliard. 2002. “Detection of Type-Specific Herpes Virus Antibodies by Neural Network Classification of Western Blot Densitometer Scans.” IEEE International Conference on Neural Networks.

Mailiza, Fitria, and Riani Setiadhi. 2018. “Pertimbangan Terapi Kortikosteroid Pada Stomatitis Herpetik Rekuren.” B-Dent, Jurnal Kedokteran Gigi Universitas Baiturrahmah 2(2):143–50. doi: 10.33854/jbdjbd.23.

Mayer-Proschel, Margot, JessicaM Hogestyn, and DavidJ Mock. 2018. “Contributions of Neurotropic Human Herpesviruses Herpes Simplex Virus 1 and Human Herpesvirus 6 to Neurodegenerative Disease Pathology.” Neural Regeneration Research 13(2):211.

Nugroho, Pulung Adi, Indah Fenriana, and Rudy Arijanto. 2020. “Implementasi Deep Learning Menggunakan Convolutional Neural Network ( Cnn ) Pada Ekspresi Manusia.” Algor 2(1):12–21.

Nurkhasanah, Nurkhasanah, and Murinto Murinto. 2022. “Klasifikasi Penyakit Kulit Wajah Menggunakan Metode Convolutional Neural Network.” Sainteks 18(2):183. doi: 10.30595/sainteks.v18i2.13188.

Ramprakash, P., R. Sarumathi, R. Mowriya, and S. Nithyavishnupriya. 2020. “Heart Disease Prediction Using Deep Neural Network.” 2020 International Conference on Inventive Computation Technologies (ICICT).

Roihan, Ahmad, Po Abas Sunarya, and Ageng Setiani Rafika. 2020. “Pemanfaatan Machine Learning Dalam Berbagai Bidang: Review Paper.” IJCIT (Indonesian Journal on Computer and Information Technology) 5(1):75–82. doi: 10.31294/ijcit.v5i1.7951.

Salawazo, Vandel Maha Putra, Desta Putra Jaya Gea, Richard Foarota Gea, and Fadhillah Azmi. 2019. “Implementasi Metode Convolutional Neural Network ( CNN ) Pada Peneganalan Objek Video CCTV.” Jurnal Mantik Penusa 3(1):74–79.

Sharma, Ajay, Tarun Pal, and Varun Jaiswal. 2022. “Heart Disease Prediction Using Convolutional Neural Network.” Cardiovascular and Coronary Artery Imaging 245–72.

Shen, Zeping, Malcolm Clarke, Russell W. Jones, and Thea Alberti. 1992. “NEURAL NETWORK APPROACH FOR DETECTING HEART DISEASE.” Artificial Neural Networks 1637–40.

Shrestha, Garima, Deepsikha, Majolica Das, and Naiwrita Dey. 2020. “Plant Disease Detection Using CNN.” 2020 IEEE Applied Signal Processing Conference (ASPCON).

Stephen, Raymond, and Handri Santoso. 2019. “Aplikasi Convolution Neural Network Untuk Mendeteksi Jenis-Jenis Sampah.” Explore – Jurnal Sistem Informasi Dan Telematika 10(2):122–32.

TRIPATHI, KSHITIJ. 2019. “DIABETES CLASSIFICATION AND PREDICTION USING ARTIFICIAL NEURAL NETWORK.” INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY 10(3).

Downloads


Crossmark Updates

How to Cite

Hakim, A. R. ., Atmaja, D. M. U. ., Tugiman, T., & Basri, A. . (2023). Android-Based Herpes Disease Detection Application using Image Processing. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(1), 305-313. https://doi.org/10.33395/sinkron.v8i1.11913