Sistem Pakar dalam Menganalisis Alergi Kulit Manusia dengan Metode Certainty Factor
DOI:
https://doi.org/10.37034/jsisfotek.v3i4.72Keywords:
Expert System, Certainty Factor, Analyze, Skin Health, Skin AllergicAbstract
The skin is human’s outer sense, which servers as protection from bacteria, viruses, and solar flares, and as a sense. Skin may suffer from a variety of factors, one of which is allergies. Human skin allergies result from a pressurized immune system that humans normally react to certain substances, such as food, animal hair, or medicine. In addition to the three factors, a current of society giveslittle attention to skin allergies and lack of care or awareness is a trigger factor. Thus, the aim of this research is to analyze human skin allergies using the Certainty Factor method. By conducting interviews and observations on Rahmatan Lil ‘Alamin Clinic, Padang City, found 10 skin allergic kinds, 27 skin allergic symptoms, and 50 patients data. Those data are treated using the Certainty Factor method with stages to decisive symptom and allergic code, set the rule, set the weight, and calculate Certainty Factor score. In this research, it obtained test results at a percentage of a large 92% and the most allergic diagnosed is allergic dermatitis. By the test results inferable that expert system designed can be used to determine the diagnosis of human skin allergies.
References
Kumarahadi, Y. K., Arifin, M. Z., Pambudi, S., Prabowo, T., & Kusrini, K. (2020). Sistem Pakar Identifikasi Jenis Kulit Wajah dengan Metode Certainty Factor. Jurnal Teknologi Informasi Dan Komunikasi (TIKomSiN), 8(1). doi:10.30646/tikomsin.v8i1.453
Utari, S., Yudatama, U., & Pujiarto, B. (2020). Media Konsultasi Penyakit Kulit Pada Balita Menggunakan Metode Certainty Factor. Jurnal Komtika (Komputasi Dan Informatika), 3(1), 10–17. doi:10.31603/komtika.v3i1.3463
Putri, N. A. (2018). Sistem Pakar untuk Mengidentifikasi Kepribadian Siswa Menggunakan Metode Certainty Factor dalam Mendukung Pendekatan Guru. INTECOMS: Journal of Information Technology and Computer Science, 1(1), 78–90. doi:10.31539/intecoms.v1i1.164
Fahmi, H. (2019). Sistem Pakar Mendiagnosa Penyakit Mata KatarakDengan Metode Certainty Factor Berbasis Web. Matics, 11(1), 27. doi:10.18860/mat.v11i1.7673
Leidiyana, H., & Hariyanto, R. D. (2020). Sistem Pakar untuk Mendiagnosa Penyakit Persendian Menggunakan Metode Certainty Factor. Jurnal Komtika (Komputasi Dan Informatika), 4(1), 27–34. doi:10.31603/komtika.v4i1.3701
Hariyanto, R., & Sa’diyah, K. (2018). Sistem Pakar Diagnosis Penyakit dan Hama Pada Tanaman Tebu Menggunakan Metode Certainty Factor. JOINTECS (Journal of Information Technology and Computer Science), 3(1). doi:10.31328/jointecs.v3i1.500
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. doi:10.29407/intensif.v3i2.12792
Widians, J. A., & Rizkyani, F. N. (2020). Identifikasi Hama Kelapa Sawit menggunakan Metode Certainty Factor. ILKOM Jurnal Ilmiah, 12(1), 58–63. doi:10.33096/ilkom.v12i1.526.58-63
Yumiati, S., Saragih, H., Rahman, T. A., & Triayudi, A. (2021). Expert system for heart disease based on electrocardiogram data using certainty factor with multiple rule. IAES International Journal of Artificial Intelligence (IJ-AI), 10(1), 43. doi:10.11591/ijai.v10.i1.pp43-50
Wang, Q., Guo, Y., Li, W., He, J., & Wu, Z. (2019). Predictive modeling of landslide hazards in Wen County, northwestern China based on information value, weights-of-evidence, and certainty factor. Geomatics, Natural Hazards and Risk, 10(1), 820-835. doi:10.1080/19475705.2018.1549111
Akanbi, A. K., & Masinde, M. (2018). Towards the Development of a Rule-Based Drought Early Warning Expert Systems Using Indigenous Knowledge. 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD). doi:10.1109/icabcd.2018.8465465
Konstantinopoulou, G., Kovas, K., Hatzilygeroudis, I., & Prentzas, J. (2019). An Approach using Certainty Factor Rules for Aphasia Diagnosis. 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA). doi:10.1109/iisa.2019.8900782
Gunawan, E. P., & Wardoyo, R. (2018). An Expert System Using Certainty Factor for Determining Insomnia Acupoint. IJCCS (Indonesian Journal of Computing and Cybernetics System), 12(2), 119. doi:10.22146/ijccs.26328
Habibie, D. R., & Aldo, D. (2019). Sistem Pakar Untuk Identifikasi Jenis Jerawat Dengan Metode Certainity Factor. JOINTECS (Journal of Information Technology and Computer Science), 4(3), 79. doi:10.31328/jointecs.v4i3.1055
Dian, R., Sumijan, S., & Yunus, Y. (2020). Expert System in Identifying Tooth Damage in Children Using Forward Chaining and Certainty Factor Methods. Jurnal Sistim Informasi Dan Teknologi, 2(3), 1–6. doi:10.37034/jsisfotek.v2i3.36
Zuhriyah, S., & Wahyuningsih, P. (2019). Pengaplikasian Certainty Factor pada Sistem Pakar untuk Mendiagnosa Penyakit Campak Rubella. ILKOM Jurnal Ilmiah, 11(2), 159–166. doi:10.33096/ilkom.v11i2.441.159-166
Putri, L. F. (2020). Perancangan Aplikasi Sistem Pakar Penyakit Roseola Dengan Menggunakan Metode Certainty Factor. Jurnal Sistem Komputer Dan Informatika (JSON), 1(2), 107. doi:10.30865/json.v1i2.1956