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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Harapan Bangsa
Suryadi, Sudi
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Mathematics Mechanical Engineering Public Health

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Journal : Building of Informatics, Technology and Science

 1 
Sistem Pendukung Keputusan Dalam Rekomendasi Kelayakan nasabah Penerima Kredit Menerapkan Metode MOORA dan MOOSRA Kusmanto, Kusmanto; Nasution, Mhd Bobbi Kurniawan; Suryadi, Sudi; Karim, Abdul
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2610

Abstract

In selecting credit recipients, it is necessary to have a recipient selection system that can overcome the problem of bad credit that often occurs (loans that are not repaid by the debtor). Based on this problem, a decision support system is needed that helps identify the wrong recipient. The method used in this study is the Moora method and the Moosra method, namely the method for determining priorities. A decision support system is a computer-based system consisting of interacting components: a language system component, a knowledge system component, and a problem-handling system component, and uses data and decision-making models to create semi-structured problems. It solves structured problems and semi-structured problems. and assist in decision making. Structured and unstructured problems, this system helps you get information about your customers, the results are more accurate and on target
Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Autoimun Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Suryadi, Sudi; Purba, Elvitrianim
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3407

Abstract

Autoimmune diseases are caused by the failure of the immune system to attack the body itself. According to data from the US Department of Health and Human Services, more than 23.5 million Americans have an autoimmune disease, which is difficult to diagnose because of the variety of symptoms it presents. Therefore, the development of mechanisms to identify autoimmune disorders is essential. One of the developing technologies in this field is the use of expert systems in diagnosing diseases. An expert system is a system developed by experts using science-based technology. In order to use it effectively, proper methods are needed, such as the Bayes Theorem approach, described by Thomas Bayes, a priest. The Bayes Theorem approach explains the relationship between the probability of event A and event B based on available information. This study attempts to facilitate the diagnosis of autoimmune diseases by using an expert system and Bayes' Theorem technique. With a confidence level of 0.57 or 57%, the examination results show that the patient suffers from an autoimmune disease of the type Hemolytic Anemia (HA) based on the patient's input
Co-Authors Abdul Karim Febriani, Budi Hidayatullah, Muhammad Irmayani, Deci JP, Gafar Ilyaz Kusmanto Kusmanto Kusmanto Nasution, Mhd Bobbi Kurniawan Purba, Elvitrianim Shinta Esabella Syaiful Zuhri Harahap