Expert System of Detection Defisiensi Imun Uses K-Nearest Neighbor Method

Puji Sari Ramadhan, Tugiono Tugiono, Saiful Nurarif

Abstract


Immune deficiency is a collection of various diseases which, due to having one or more immune system abnormalities and impairing the functioning of the immune system that are decreasing or not functioning properly, with this condition the susceptibility to infection increases. This disease is mostly suffered by children, this is because the immune system changes in children who have not been able to deal with immune attenuation attacks. For now the number of children who do not get early treatment properly, this is due to a lack of public knowledge about this skin inflammatory disease. Looking at the problems that have been raised, it is necessary to build an Expert System that is able to move expert knowledge into a system of consultation services to detect Immunodeficiency Disease based on clinical symptoms experienced by applying the K-Nearest Neighbor method which functions to process knowledge so that can conclude disease probabilities that refer to the state of the previous diagnosis to be used as an initial diagnostic analysis

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References


D. Gede and H. Divayana, “Application of Pineapple Diseases Expert System with FC-FL Method at Badung Regency Agriculture Department,†vol. 4, no. 8, pp. 293–298, 2014.

A. Al-Ajlan, “The Comparison between Forward and Backward Chaining,†Int. J. Mach. Learn. Comput., vol. 5, no. 2, pp. 106–113, 2015.

M. S. Hossain, F. Ahmed, Fatema-Tuj-Johora, and K. Andersson, “A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty,†J. Med. Syst., vol. 41, no. 3, 2017.

J. Divya and K. Sreekumar, “A Survey on Expert System in Agriculture,†Int. J. Comput. Sci. Inf. Technol., vol. 5, no. 6, pp. 7861–7864, 2014.

T. Wang, G. Zhang, J. Zhao, Z. He, Z. Wang, and M. J. Jiménez-Pérez, “Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems,†IEEE Trans. Power Syst., vol. 30, no. 3, pp. 1182–1194, 2015.

F. M. Hadini, “Detection System Milkfish Formalin Android-Based Method Based on Image Eye Using Naive Bayes Classifier,†vol. 9, no. 1, pp. 2–5, 2017.

A. Widjaja and A. B. Susilo, “EXPERT SYSTEM TO IDENTIFY DAMAGE CISCO AS5300 DEVICE WITH THE METHOD OF FORWARD CHAINING-BASED CLIENT-,†vol. 9, pp. 787–805, 2017.

B. F. Yanto, I. Werdiningsih, and E. Purwanti, “Aplikasi Sistem Pakar Diagnosa Penyakit Pada Anak Bawah Lima Tahun Menggunakan Metode Forward Chaining,†J. Inf. Syst. Eng. Bus. Intell., vol. 3, no. 1, pp. 61–67, 2017.

Ashari, “Penerapan Sistem Pakar Untuk Mendiagnosa Penyakit Pecernaan Dengan Pengobatan Alami,†no. November, pp. 1–9, 2016.

F. Masya, H. Prastiawan, and S. Mubaroq, “Application Design to Diagnosis of Bone Fracture ( Traditional ) using Forward Chaining Methods,†Int. Res. J. Comput. Sci., vol. 3, no. 09, pp. 23–30, 2016.

S. Nurajizah and M. Saputra, “Sistem Pakar Berbasis Android Untuk Diagnosa Penyakit Kulit Kucing Dengan Metode Forward Chaining,†J. Pilar Nusa Mandiri, vol. 14, no. 1, pp. 7–14, 2018.

P. S. Ramadhan, “SISTEM PAKAR PENDIAGNOSAAN DERMATITIS IMUN MENGGUNAKAN TEOREMA BAYES,†InfoTekJar(Jurnanl Nas. Inform. dan Teknol. Jaringan), vol. 3, no. 73, pp. 43–48, 2018.

M. Mesran et al., “Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 88–91, 2018.

E. Technology, D. Ayu, P. Wulandari, K. Ary, B. Permana, and M. Sudarma, “Prediction of Days in Hospital Dengue Fever Patients using K-Nearest Neighbor,†vol. 3, no. 1, pp. 23–25, 2018.

M. Zuhaer and M. H. M. Alhabib, “Face Recognition System Based on Kernel Discriminant Analysis , K-Nearest Neighbor and Support Vector Machine,†vol. 5, no. 3, pp. 335–338, 2018.

A. Joshi and M. Ashish, “Analysis Of K-Nearest Neighbor Technique For Breast Cancer Disease Classification,†Int. J. Recent Sci. Res., vol. 8, no. 8, pp. 1005–19008, 2017.

P. S. Ramadhan, Mengenal Metode Sistem Pakar, 1st ed. Medan: Penerbit Uwais, 2018.

P. S. Ramadhan, “SISTEM E-PEDIATRIC UNTUK PENDIAGNOSAAN EFLORSEN DERMATIS MENGGUNAKAN TEOREMA BAYES,†J. Sebatik, vol. 23, no. 1, pp. 242–247, 2019.

A. Maharani, Penyakit Kulit, 1st ed. Yogyakarta: Pustaka Baru Press, 2015.




DOI: https://doi.org/10.30865/ijics.v3i2.1372

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Copyright (c) 2019 Puji Sari Ramadhan, Tugiono Tugiono, Saiful Nurarif

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The IJICS (International Journal of Informatics and Computer Science)
Published by Universitas Budi Darma.
Jl. Sisingamangaraja No.338 Simpang Limun, Medan, North Sumatera
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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.