Implementation of the Certainty Factor Method in Determining the Type of Treatment for Dry Facial Skin
-
Mesran Mesran
*
Sekolah Tinggi Ilmu Manajemen Sukma Medan, Medan,
Indonesia
https://orcid.org/0000-0002-8886-2013
- Rima Marhamah Universitas Budi Darma, Medan, Indonesia
- Mahendra Maulia Lubis Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Keywords:
Expert System; Certainty Factor; Face Skin; Skin Care; Treatment
Abstract
Facial skin is one of the most sensitive parts of the body and is vulnerable to various disorders, one of which is dry skin. Dry facial skin is characterized by a dull appearance, a tendency to experience irritation, and the emergence of fine lines or wrinkles. This condition not only affects physical appearance but can also reduce the skin’s protective function against infections and exposure to free radicals. This study aims to identify dry facial skin conditions based on symptoms experienced by users by applying the Certainty Factor (CF) method. The CF method is selected because it is capable of handling uncertainty in decision-making processes, particularly in Expert System applications. In its implementation, the system calculates the certainty value from a combination of symptoms entered by the user to determine the probability level of dry facial skin conditions. The results of the study indicate that the system produces a certainty value of 22.32%, suggesting that the user has a 22.32% probability of experiencing dry facial skin. These findings demonstrate that a CF-based expert system can be utilized as an initial supporting tool for identifying skin conditions, although further validation by experts in the field of Dermatology is still required
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[3] L. D. Ajisari and P. T. Prasetyaningrum, “Sistem Pakar Diagnosa Penyakit Kardiovaskular Menggunakan Metode Certainty Factor,” Journal of Computer and Information Systems Ampera, vol. 5, no. 2, pp. 121–137, 2024, doi: 10.51519/journalcisa.v5i1.471.
[4] N. Purnomo, R. M. Suri, D. Yuliana, and M. Rasyid, “Sistem Pakar Identifikasi Penyakit Kulit Melanoma dengan Metode Teorema Bayes,” Jurnal KomtekInfo, vol. 10, no. 2, pp. 56–63, 2023, doi: 10.35134/komtekinfo.v10i2.368.
[5] E. S. Susanto, H. Herfandi, and M. Rizky, “Sistem Pakar Untuk Mendiagnosa Penyakit Asam Lambung,” Jurnal Mnemonic, vol. 5, no. 2, pp. 184–190, 2022, doi: 10.36040/mnemonic.v5i2.5192.
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[10] M. Tarigan, K. Erwansyah, and S. Yakub, “Sistem Pakar Mendiagnosis Anxietas Dengan Metode Certainty Factor,” Jurnal Sistem Informasi Triguna Dharma (JURSI TGD), vol. 3, no. 6, pp. 1084–1094, 2024, doi: 10.53513/jursi.v3i6.7985.
[11] A. Andini, N. Novriyenni, and R. Saragih, “Sistem Pakar Diagnosa Penyakit Hipertrofi hidung Menggunakan Metode Certainty Factor,” Repeater: Publikasi Teknik Informatika dan Jaringan, vol. 2, no. 4, pp. 117–135, 2024, doi: 10.62951/repeater.v2i4.208.
[12] C. I. Angkat, I. M. Sianturi, S. H. Sinambela, Z. Sitorus, and K. Khairul, “Penerapan Algoritma Certainty Factor dalam Diagnosa Penyakit Guillain-Barre Syndrome,” Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI), vol. 7, no. 1, pp. 1–7, 2024, doi: 10.55338/jikomsi.v7i1.2609.
[13] S. A. Prayogi, R. Helilintar, and I. N. Farida, “Rancang Bangun Sistem Pakar Penentuan Penyakit Kambing Menggunakan Metode Certainty Factor,” Seminar Nasional Teknologi & Sains, vol. 3, no. 1, pp. 404–411, 2024, doi: 10.29407/stains.v3i1.4371.
[14] S. Setiyani and P. T. Prasetyaningrum, “Penerapan Metode Naive Bayes Classifier Pada Sistem Pakar Diagnosa Penyakit Lambung,” Jurnal Sistem Informasi Dan Bisnis Cerdas (SIBC) Vol, vol. 14, no. 2, 2021, doi: 10.33005/sibc.v14i2.2631.
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[18] A. I. Zalukhu, I. Syahputra, M. Iqbal, and R. F. Wijaya, “Analisis Metode Certainty Factor Pada Sistem Pakar Diagnosa Kerusakan Sepeda Motor,” Bulletin of Information Technology (BIT), vol. 4, no. 4, pp. 524–532, 2023, doi: 10.47065/bit.v4i4.1083.
[19] M. Mustaqim, A. G. Ramadhan, and A. Iskandar, “Perbandingan Metode Certainty Factor dan Case Based Reasoning Dalam Mendeteksi Penyakit Arteritis Takayasu,” KLIK: Kajian Ilmiah Informatika dan Komputer, vol. 4, no. 4, pp. 2188–2196, 2024, doi: 10.30865/klik.v4i4.1735.
[20] G. C. A. Saputra and H. Hartatik, “Sistem Pakar Diagnosa Penyakit Burung Merpati Dengan Metode Certainty Factor,” Journal Automation Computer Information System, vol. 3, no. 2, pp. 81–91, 2023, doi: 10.47134/jacis.v3i2.58.
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[22] E. Sidarta, F. C. Gunaidi, E. Destra, and A. I. Fadhila, “Kegiatan Penapisan Kadar Air dan Minyak Kulit Sebagai Deteksi Dini Kulit Kering di SMAN 75, Jakarta Utara,” jurnal ABDIMAS Indonesia, vol. 2, no. 2, pp. 165–171, 2024, doi: 10.59841/jai.v2i2.1607.
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Published: 2026-06-19
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How to Cite
Mesran, M., Marhamah, R., & Lubis, M. M. (2026). Implementation of the Certainty Factor Method in Determining the Type of Treatment for Dry Facial Skin. Bulletin of Data Science, 5(3), 138-145. https://doi.org/10.47065/bulletinds.v5i3.10061
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Vol 5 No 3 (2026): June 2026
Pages: 138-145
Pages: 138-145
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Copyright (c) 2026 Mesran Mesran, Rima Marhamah, Mahendra Maulia Lubis
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