Design and Build Expert System Application for Diagnosing Facial Skin Disease based on Android


  • Sarinawati Sarinawati Universitas Labuhanbatu, Indonesia
  • Gomal Juni Yanris Universitas Labuhanbatu, Indonesia
  • Rahma Muti’ah Universitas Labuhanbatu, Indonesia




Today, skin health is the main focus for women and men who want healthy, well-groomed and clean facial skin. The use of chemicals and other external materials allows potential disease for facial skin health. Diseases caused on the face are quite diverse from small to medium scale. The problem that often occurs in the community is the lack of knowledge and limited sources of information about facial skin health causing people to tend to let the disease happen. Based on the problems that have been described previously, this expert system was created to help the public understand the symptoms of facial skin diseases experienced and solutions to overcome these diseases. In the development of this expert system using the forward chaining method as the inference engine and the certainty factor method to determine the diagnostic confidence value. In designing this expert system application the user can choose the symptoms of facial skin diseases, then the output produced is the level of confidence, the possibility of the disease experienced and an explanation of the solution for the initial treatment of the facial skin disease. From the test results based on the Black Box, the results obtained 100% functionality runs according to the list of system requirements. In the accuracy test, a very good accuracy value is obtained, which is 100% of the 10 existing sample data.

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Aryani, K. A., Divayana, D. G. H., & Wirawan, I. M. A. (2017). Sistem Pakar Diagnosis Penyakit Jerawat di Wajah dengan Metode Certainty Factor. Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 6(2), 96.

Aziz, A., & Karpen. (2019). Diagnosa Penyakit Kulit Wajah Menggunakan Metode Decision Tree dan Algoritma C4.5. Jurnal Teknologi Dan Open Source, 2(1), 74–86.

Berliana, C. G. (2015). Sistem Pakar Masalah Kulit untuk Penentuan Ketepatan Perawatan Wajah Berminyak dengan Metode Forward Chaining. Retrieved from

Cahyaningsih, S., Triayudi, A., & Sholihati, I. D. (2021). Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android. Jurnal Media Informatika Budidarma, 5(1), 74.

Darmayunata, Y. (2018). Sistem Pakar Berbasis Web Menggunakan Metode Backward Chaining Untuk Menentukan Nutrisi Yang Tepat Bagi Ibu Hamil. INTECOMS: Journal of Information Technology and Computer Science, 1(2), 231–239.

Efendi, D. M., & Sari, P. Y. (2020). Sistem Pakar Diagnosa Penyakit Kulit Wajah dengan Metode Certainy Factor pada Klinik Skin Rachel. Jurnal Informasi Dan Komputer, 1(8).

Fanny, R. R., Hasibuan, N. A., & Buulolo, E. (2017). Perancangan Sistem Pakar Diagnosa Penyakit Asidosis Tubulus Renalis Menggunakan Metode Certainty Factor Dengan Penelusuran Forward Chaining. Media Informatika Budidarma, 1(1), 13–16.

Ferdiansyah, W. R., Muflikhah, L., & Adinugroho, S. (2018). Sistem Pakar Diagnosis Penyakit Pada Kambing Menggunakan Metode Naive Bayes dan Certainty Factor. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(2), 451. Retrieved from

Ginting, N. S. W., & RMS, A. S. (2018). Sistem Pakar Diagnosa Penyakit Kacang Kedelai Menggunakan Metode Certainty Factor. Jurnal KomTekInfo, 5(1), 36–41.

Kurniawan, A. (2018). Sistem Pakar Mendiagnosa Penyakit Flu Burung Secara Online Dengan Metode Forward Chaining. JIKA (Jurnal Teknik Informatika), 2(1), 33–39.

Pebrianto, R., Nugraha, S. N., & Gata, W. (2020). Perancangan Sistem Pakar Penentuan Jenis Kulit Wajah Menggunakan Metode Certainty Factor. IJCIT (Indonesian Journal on Computer and Information Technology), 5(1), 83–93.

Santi, I. H., & Andari, B. (2019). Sistem Pakar Untuk Mengidentifikasi Jenis Kulit Wajah dengan Metode Certainty Factor. INTENSIF: Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 3(2), 159.

Sinaga, M. D., Riza, B. S., iriani, J., Lazuly, I., Daifiria, & H., E. V. (2018). A Forward Chaining Trace Analysis In Diagnosing Tamarillo Disease. 2018 6th International Conference on Cyber and IT Service Management (CITSM), 1–4.

Sulistiani, H., Alita, D., Yasin, I., Hamidy, F., & Adriani, D. (2021). Implementation of Certainty Factor Method to Diagnose Diseases in Pineapple Plants. 2021 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE), 40–45.

Suryadi, U. T., & M, R. H. (2015). Implementasi Metode Naive Bayes untuk Mendiagnosa Penyakit Pasien. Urnal Teknologi Informasi Dan Komunikasi STMIK Subang, (Oktober), 1–15.


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How to Cite

Sarinawati, S., Yanris, G. J. ., & Muti’ah, R. . (2022). Design and Build Expert System Application for Diagnosing Facial Skin Disease based on Android. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 6(2), 737-745.

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