Penerapan K-Nearest Neighbor dalam Pendeteksian Abcessus

Puji Sari Ramadhan

Abstract


Abcessus is a collection of neutrophils that do not function anymore and have accumulated in tissue cavities infected with bacteria or parasites. This disease will cause swelling in the part of the skin tissue that contains pus and blood, this is due to the spread of skin tissue with staphylococcus aureus bacteria. The spread of infections carried out by bacteria will result in the release of toxins that cause inflammation and increase blood flow in the infected place. The high circulation of the disease among the community requires a concept of knowledge and information which can later be disseminated to the community so that it can reduce the risk of spreading this disease and can be done as soon as possible early treatment of people suffering from Abcessus. The concept of knowledge that will be formed is by transferring all forms of information and knowledge about Abcessus into the diagnosing application by applying the Expert System science that uses K-Nearest Neighbor analysis, later the method can produce the probability value or probability of diagnosing Abcessus for the symptoms that are felt clinically, of course, the knowledge and probability value of Abcessus will first be determined by an expert or expert in identifying the Abcessus. With the construction of diagnostic applications this can be used as a source to be used by the wider community in dealing with problems regarding diagnosis and knowledge of Abcessus, besides that it can also be used in the analysis of diagnostic conclusions by health or medical officers

Keywords


Kecerdasan Buatan, Sistem Pakar, K-Nearest Neighhbor, Abcessus

Full Text:

PDF

References


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.

S. A. Putri and E. P. Saputra, “Perancangan Aplikasi Sistem Pakar Diagnosa Awal Kanker Reproduksi Wanita Dengan Metode Certainty Factor,” vol. 2, no. 3, pp. 63–68, 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.

P. S. Ramadhan, “Sistem Pakar Pendeteksian Varicella Simplex Dengan Menggunakan Teorema Bayes,” vol. 5, no. 5, pp. 454–459, 2018.

Tuslaela and D. Permadi, “Sistem Pakar Diagnosa Penyakit Gigi Dan Mulut Berbasis Web dengan Metode Forward Chaining,” J. PROSISKO, vol. 5, no. 1, pp. 17–26, 2018.

S. Wulandari, Kadek and Made, “Prediction of Days in Hospital Dengue Fever Patients using K-Nearest Neighbor,” vol. 3, no. 1, pp. 23–25, 2018.

M. El Agha, A. Jarghon, and S. S. A. Naser, “Polymyalgia Rheumatic Expert System,” no. August, 2017.

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.

Minarn, I. Warman, and W. Handayani, “Case-Based Reasoning (Cbr) Pada Sistem Pakar Identifikasi Hama Dan Penyakit Tanaman Singkong Dalam Usaha Meningkatkan Produktivitas Tanaman Pangan,” J. TEKNOIF, vol. 5, no. 1, pp. 41–47, 2017.

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. Suyatno and D. M. Khairina, “PENDETEKSI GANGGUAN JARINGAN LOKAL MENGGUNAKAN METODE CERTAINTY FACTOR,” vol. 13, no. 2, pp. 60–64, 2018.

B. Sinaga, P. M. Hasugian, and A. M. Manurung, “Sistem Pakar Mendiagnosa Kerusakansmartphone,” vol. 3, no. 1, 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.

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.

Mohamad Hadi, M. Misdram, and R. F. A, “Perancangan Sistem Pakar Diagnosa Penyakit Ayam Dengan Metode Forward Chaining,” JImp, vol. 2, no. no bagian volume, pp. 111–139, 2016.

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

P. S. Ramadhan and Fatimah, “Sistem E-Healthcare Untuk Mendiagnosa Penyakit Inflamasi Dermatitis Imun Anak Dengan Menggunakan Metode Certainty Factor,” vol. 1, no. 1, pp. 251–256, 2018.

P. S. Ramadhan and U. Fatimah, “Analisis Perbandingan Metode ( Certainty Factor , Dempster Shafer dan Teorema Bayes ) untuk Mendiagnosa Penyakit Inflamasi Dermatitis Imun pada Anak,” Saintikom, vol. 17, no. 2, pp. 151–157, 2018.

S. Qwaider and S. S. A. Naser, “Expert System for Diagnosing Ankle Diseases,” no. August, 2017.

A. K. Verawaty , Mesran, Suginam, “Jambu Biji Menggunakan Metode Bayes,” vol. 2, no. 1, pp. 78–81, 2017.

U. Hanifah, F. T. Elektro, U. Telkom, A. V. Jones, and F. Chaining, “DETEKSI PENYAKIT PTERIGIUM MENGGUNAKAN FORWARD CHAINING DAN ALGORITMA VIOLA JONES DETECTION OF PTERIGIUM DISEASE USING FORWARD CHAINING AND VIOLA,” vol. 5, no. 3, pp. 6118–6125, 2018.

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.

A. Jamal and Sukadi, “Rancang Bangun Sistem Pakar Diagnosa Kerusakan Notebook Pada Widodo Computer Ngadirojo kabupaten Pacitan,” J. Speed – Sentra Penelit. Eng. dan Edukasi –, vol. 7, no. 3, pp. 52–58, 2015.

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.

U. Siti Hawa, Abdullah, “Sistem Pakar Diagnosa Penyakit Pada Tanaman Kakao Menggunakan Metode Forward Chaining (Studi Kasus Dinas Perkebunan Indragiri Hilir) 1,” vol. 4, pp. 1–8, 2015.

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

J. dan K. N. Akib, A. Roma, Penyakit Defisiensi Imun, 1st ed. Jakarta: Ikatan Dokter Indonesia, 2015.

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




DOI: https://doi.org/10.30743/infotekjar.v3i2.1003

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Puji Sari Ramadhan

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan)

Program Studi Teknik Informatika - Universitas Islam Sumatera Utara
Website : http://jurnal.uisu.ac.id/index.php/infotekjar/index
Email : infotekjar@ft.uisu.ac.id

InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan) is licensed under a Creative Commons Attribution 4.0 International License