Sistem Pakar dalam Membandingkan Metode Forward Chaining dengan Certainty Factor untuk Mengidentifikasi Jenis Kulit Wajah

Authors

  • Nadya Alinda Rahmi Independent Researcher
  • Gunadi Widi Nurcahyo Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.37034/jsisfotek.v3i4.75

Keywords:

Expert System, Facial Skin Type, Certainty Factor Method, Forward Chaining Method, Face Treatment

Abstract

Skin is one piece of the body that has adaptable properties to shield the human body from natural effects. A great many people need facial skin that is tight and liberated from skin illnesses, particularly skin inflammation inclined skin. Next, everybody ought to do facial consideration and utilize a few fixings that are appropriate for facial skin, there are five kinds of ordinary skin, sleek skin, dry skin, blend skin and touchy skin. To inspect the kind of facial skin by contrasting the Forward Chaining and Certainty Factor procedures. This assessment utilizes 30 information acquired from interviews with subject matter experts. There are a few signs acquired from different issues distinguished on facial skin which are utilized as indication data for facial skin types constrained by subject matter experts. This data is utilized to check the sort of facial skin dependent on guidelines and data from a trained professional. The preliminary advances taken are to look at the Forward Chaining and Certainty Factor strategies. The outcomes acquired subsequent to testing and assessment of the Forward Chaining and Certainty Factor strategies were 83.33% and the discoveries expressed that the customer had a commonplace skin type. The test outcomes can be seen from the two strategies that test unequivocal facial skin types, then, at that point the principle system utilized not set in stone to help dermatologists in analyzing facial skin types.

References

Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 100330. https://doi.org/10.1016/j.ijme.2019.100330

Arfajsyah, H. S., Permana, I., & Salisah, F. N. (2018). Sistem Pakar berbasis android untuk diagnosa penyakit gigi dan mulut. Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi, 4(2), 110-117. http://dx.doi.org/10.24014/rmsi.v4i2.5678

D.Dhivya, A., & Felix, A. (2018). A Fuzzy Rule based Expert System for T2DM Diagnosis. International Journal of Engineering & Technology, 7(4.10), 432. https://doi.org/10.14419/ijet.v7i4.10.21034

Tashmetov, T., Tashmetov, K., Aliev, R., & Rasulmuhamedov, M. (2020). Fuzzy information and expert systems for analysis of failure of automatic and telemechanic systems on railway transport. Chemical Technology, Control and Management, 2020(5), 168-172. https://doi.org/10.34920/2020.5-6.168-171

Yuhandri, Y. (2018). Diagnosa Penyakit Osteoporosis Menggunakan Metode Certainty Factor. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 2(1), 422–429. https://doi.org/10.29207/resti.v2i1.349

Sihombing, A., & Sarjono, S. (2021). Analisis Dan Perancangan Sistem Pakar Untuk Mendiagnosa Penyakit Vertigo Dengan Metode Dempster Shafer. Jurnal Manajemen Sistem Informasi, 6(1), 43-54. https://doi.org/10.33998/jurnalmanajemensisteminformasi.2021.6.1.1002

Gracia, B., Setiabudi, D. H., & Andjarwirawan, J. (2021). Sistem Pakar Diagnosa Kerusakan Pada Gitar Menggunakan Metode Forward Chaining dan Certainty Factor. Jurnal Infra, 9(1), 52-58.

Hao, X., Wen, C., Zhao, N., Lu, L., Zhang, K., & Zhang, D. (2020). Prototype of an Expert System for the Selection of Aircraft Structural Materials. International Journal of Photoenergy, 2020, 1–7. https://doi.org/10.1016/j.jmatprotec.2005.04.034

Fakhriyah, N. N. (2021). Sistem Pakar Diagnosis Penyakit Pada Kambing Dengan Metode Forward Chaining Dan Certainty Factor. Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA), 3(1), 72-84. https://doi.org/10.29303/jtika.v3i1.138

Salman, F. M., & Abu-Naser, S. S. (2020). Expert System for COVID-19 Diagnosis.

Chandra, S., Yunus, Y., & Sumijan, S. (2020). Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan. Jurnal Informasi dan Teknologi, 105-111. https://doi.org/10.37034/jidt.v2i4.70

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), 159-177. https://doi.org/10.29407/intensif.v3i2.12792

Romli, I., Romansyah, E., & Permana, A. (2020). Implementasi Sistem Pakar menggunakan Metode Certainty Factor Untuk Mendiagnosa Penyakit Herpes Zoster. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 4(2), 110-115. https://doi.org/10.35870/jtik.v4i2.158

Gultom, Z. H. (2018). Sistem Pakar Untuk Mendeteksi Kerusakan Pada Sepeda Motor Dengan Menggunakan Metode Forward Chaining Berbasis Web. Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 9(1), 42-58. https://doi.org/10.31849/digitalzone.v9i1.1075

Safira, L., Si, S., & Irawan, M. B. (2019). Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on Android. In Journal of Physics: Conference Series (Vol. 1201, No. 1, p. 012053). IOP Publishing. http://doi:10.1088/1742-6596/1201/1/012053

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Published

2021-09-03

How to Cite

Rahmi, N. A. ., & Nurcahyo, G. W. . (2021). Sistem Pakar dalam Membandingkan Metode Forward Chaining dengan Certainty Factor untuk Mengidentifikasi Jenis Kulit Wajah . Jurnal Sistim Informasi Dan Teknologi, 3(4), 257–262. https://doi.org/10.37034/jsisfotek.v3i4.75

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