EXPERT SYSTEM FOR DETECTION OF SKIN ON THE FACE IN THE D'ANGELS BEAUTY CLINIC

Yuli Krismawati(1),


(1) Department of Information System, STMIK Pringsewu, Lampung
Corresponding Author

Abstract


The role of facial beauty experts is very important to identify the type of facial skin and provide the right treatment solution for each type of facial skin. From this, an expert system is needed to help provide solutions by building an expert system that can identify the type of facial skin by including treatment solutions. The forward chaining method chooses based on considerations in the IF logic process of the If-Then, AND OR rules, and this method seeks the combination of the highest trust value. to assist aesthetic doctors in documenting medical knowledge and experience that can be used later by nurses in detecting skin types on the face. From the results of the research, it was concluded that an expert system was built to detect the type of skin on the face at the D'Aangels beauty clinic that can determine the type of skin without coming to the location of the D'Aangels beauty clinic


References


A. Maseleno, G. Hardaker, N. Sabani, dan N. Suhaili, “Data on multicultural education and diagnostic information profiling: Culture, learning styles and creativity,” Data Br., vol. 9, hal. 1048–1051, 2016.

P. P. Abdullah, “Sistem Pakar Untuk Mendiagnosa Penyakit Pada Ayam Dengan Metode Certainty Factor Berbasis Android,” 2016.

S. I. Tika Wulandari, Guna Yanti Kumala Sari Siregar Pahu, Dita Novita Sari, “PERANCANGAN SISTEM PAKAR DETEKSI PERTUMBUHAN TANAMAN SEMANGKA BERBASIS WEBSITE DENGAN CERTAINTY FACTOR,” J. TAM ( Technol. Accept. Model ), vol. 9, no. 2, hal. 134–141, 2018.

L. W. Santoso, A. Noertjahyana, dan I. Leonard, “Aplikasi Sistem Pakar Berbasis Web untuk Mendiagnosa Awal Penyakit Jantung,” Informatika, hal. 1–48, 2012.

A. Maseleno, M. M. Hasan, M. Muslihudin, dan T. Susilowati, “Finding Kicking Range of Sepak Takraw Game: Fuzzy Logic and Dempster-Shafer Theory Approach,” Indones. J. Electr. Eng. Comput. Sci., vol. 2, no. 1, hal. 187, 2016.

H. A. R. Agusta Rakhmat Taufani, “Sistem Tutorial Berbasis Kecerdasan Buatan Pada Proses Pengambilan Keputusan Perawatan dan Perbaikan Gitar.” hal. 79–86, 2017.


Full Text: PDF

Article Metrics

Abstract View : 7 times
PDF Download : 48 times

Refbacks

  • There are currently no refbacks.