Akurasi dalam Mendeteksi Penyakit Kulit Menular menggunakan Gabungan Metode Forward Chaining dengan Certainty Factor

Main Article Content

Deosa Putra Caniago
Sumijan

Abstract

The skin is the outer protective organ for humans. Skin is the most interacting layer with the environment. Interactions that occur are not always safe against bacteria, viruses, fungi and parasites, so they will cause harm. Poor interactions will result in skin diseases. This skin disease is often considered normal, but can be dangerous and deadly and contagious. Due to the natural conditions and lack of medical personnel, sufferers of skin diseases have problems in examining their skin diseases. So this research was conducted by using an Expert System (Expert System) to help sufferers of skin diseases and help get solutions to these diseases. The solution obtained from the symptoms felt by sufferers. The method used in this study is Forward Chaining (FC) and processed using the Certainty Factor (CF) Method. The results of this study can determine the right initial steps in dealing with infectious skin diseases. So this research is very helpful for sufferers in knowing the type of skin disease, the solution in its prevention and its prevention precisely.

Article Details

How to Cite
Caniago, D. P., & Sumijan. (2020). Akurasi dalam Mendeteksi Penyakit Kulit Menular menggunakan Gabungan Metode Forward Chaining dengan Certainty Factor. Jurnal Informasi Dan Teknologi, 2(2), 48-55. https://doi.org/10.37034/jidt.v2i2.58
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Articles

References

[1] Alani, S., Zakaria. Z., & Ahmad. A. (2020). Miniaturized UWB elliptical patch antenna for skin cancer diagnosis imaging. Int. J. Electr. Comput. Eng. Malaysia, 10(2). DOI: http://doi.org/10.11591/ijece.v10i2.pp1422-1429 .
[2] Army. W. (2018). Sistem Pakar Diagnosis Penyakit tode Forward Chaining Dan Certainty Factor. J. Sains dan Inform, 4(2), 171.
[3] Hafshah. H., Hadisuwito. A. D., & Khairina. D. M. (2018). Pendeteksi Gangguan Jaringan Lokal Menggunakan Metode Certainty Factor. Inform. Mulawarman Jurnal Ilmiah Ilmu Komputer, 13(2). DOI: http://dx.doi.org/10.30872/jim.v13i2.813 .
[4] Apriani. W., Yunus. Y., & Santony. J. (2019). Prioritas Pengaspalan Jalan Menggunakan Metode Analytical Hierarchy Process (Studi Kasus Di Dinas PU Deli Serdang). J. Ilm. Komputasi.
[5] Pranata, F. S., & Na’am, J. (2019). Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 3(3), 435-442. https://doi.org/10.29207/resti.v3i3.1187
[6] Rachman. R. (2019). Penerapan Sistem Pakar Untuk Diagnosa Autis Dengan Metode Forward Chaining. J. Informatika, 6(2). DOI: https://doi.org/10.31311/ji.v6i2.5522 .
[7] Sundari. J., Hamimah., Handayani. P., Yunita., Lesmono. I. D., Rahmayu. M., Kusumawardhani. P., Budiarti. Y., Fadilah., & Nurhayati. (2018). Expert System to Detect Human’s Skin Diseases Using Forward Chaining Method Based on Web Mobile. MATEC Web Conf, 218. DOI:
https://doi.org/10.1051/matecconf/201821802015 .
[8] Kirana. C., Pradana. H. A., & Sulaiman. R. (2019). Intestine Disease Diagnosis System Using Certainty Factor Method. Sci. J. Informatics, 6(1), 82-94.
[9] Naser. S. S. A., & Akkila. A. N. (2008). A proposed expert system for skin diseases diagnosis. J. Appl. Sci. Res.
[10] Minarni. M., Warman. I., & Yuhendra. Y. (2018). Implementasi Case-Based Reasoning Sebagai Metode Inferensi Pada Sistem Pakar Identifikasi Penyakit Tanaman Jagung. J. Teknoif, 6(1).
[11] Santi. I. H., & Septiawan. A. I. (2018). Metode Forward Chaining Pada Sistem Pakar Dalam Mendiagnosis Penyakit Kulit. Antivirus J. Ilm. Tek. Inform, 12(1). DOI: https://doi.org/10.35457/antivirus.v12i1.438 .
[12] Yuwono. D. T., Fadlil. A., & Sunardi. S. (2017). Penerapan Metode Forward Chaining Dan Certainty Factor Pada Sistem Pakar Diagnosa Hama Anggrek Coelogyne Pandurata. Kumpulan Jurnal Ilmu Komputer (KLIK), 4(2).
[13] Nasution. E. F., Hasibuan. N. A., & Silalahi. N. (2018). Rancangan Aplikasi Sistem Pakar Diagnosa Penyakit Pankreatitis dengan Metode Certainty Factor. Majalah Ilmiah INTI, 6(1).

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