Penerapan Metode Inner Product Pada Aplikasi E-Diagnosa Agranulositosis


  • Enrio Situmeang * Mail Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Expert System; Otopaedia; Diagnosis; Inner Product; Certainty Factor

Abstract

An expert system (expert system) is a system that seeks to adopt human knowledge to computers, so that computers can solve problems like experts. The large number of people affected by orthopedic disease and the lack of orthopedic specialists make it difficult for orthopedic specialists to handle a large number of patients. One way to solve this problem is to create an expert system for diagnosing orthopedic diseases. Orthopedic disease diagnosis expert systems can help experts as reliable assistants with the aim of helping patients to continue to receive treatment even though experts are not available. This expert system can certainly solve a problem about Otopaedics by imitating the workings of an Orthopedic specialist. The inner product method is used for initial diagnosis by inputting the patient's symptoms. The result of the inner product process is taken as the highest value as the output in the form of the name of the disease and the type of patient treatment. If the highest value generated from the inner product process is more than one and the symptoms of the disease have a quantity and time value, it will proceed to further diagnosis using the certainty factor method, by inputting the length of time for each symptom, or the quantity of symptoms to determine the value of confidence in a particular symptom. disease based on the duration of each symptom and the quantity of these symptoms.

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References

A. Kristanto, Perancangan Sistem Informasi dan Aplikasinya. Jakarta: Gava Media, 2003.

J. Simarmata, Pemrograman WAP dengan menggunakan WML. Yogyakarta: Andi, 2006.

V. A. & Q. Aini, Kecerdasan Buatan. 2011.

Kusrini, Sistem Pakar Teori dan Aplikasinya. Yogyakarta: Andi, 2006.

Sutojo, Kecerdasaan Buatan. Yogyakarta: Andi, 2011.

W. Ardianto, W. Anggraeni, and A. Mukhlason, “Pembuatan Sistem Pakar Untuk Pendeteksian dan Penanganan Dini Pada Penyakit Sapi Berbasis Mobile Android Dengan Kajian Kinerja Teknik Knowledge Representation,” J. Tek. ITS, vol. 1, no. 1, pp. A310–A315, 2012, [Online]. Available: http://ejurnal.its.ac.id/index.php/teknik/article/view/1067.

J. Arifin, “Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Manusia Menggunakan Knowledge Base System dan Certainty Factor,” J. Ilm. Teknol. Inf. Asia, vol. 10, no. 2, pp. 50–64, 2016.

L. S. dan R. P. Tiyas, “Sistem Pakar Diagnosa Penyakit THT dengan Metode Inner Product dan Certainty Factor,” J. Japanese Soc. Pediatr. Surg., vol. 12, no. 5, p. 693, 1976, doi: 10.11164/jjsps.12.5_693_2.

T. Willy, “Agranulositosis,” 2018. https://www.alodokter.com/agranulositosis#:~:text=Agranulositosis adalah istilah yang dipakai,akan mudah terserang oleh infeksi.

A. Nugroho, Rekayasa Perangkat Lunak Berbasis Objek dengan Metode USDP. Yogyakarta: Andi, 2010.

D. P. Utomo and S. D. Nasution, “Sistem Pakar Mendeteksi Kerusakan Toner Dengan Menggunakan Metode Case Based-Reasoning,” JURIKOM (Jurnal Ris. Komputer), vol. 3, no. 5, pp. 430–434, 2016.

H. Daely and D. P. Utomo, “Sistem Pakar Diagnosa Hepatomegali Menerapkan Metode Fuzzy Logic Sugeno,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 4, no. 1, 2020.


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Article History
Submitted: 2021-07-27 Published: 2021-08-31
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