Sistem Pakar Diagnosa Penyakit Kolesterol Dan Asam Urat  Menggunakan Metode Certainty Factor

Hasan, Patmawati; Sholeha, Eka Wahyu; Tetik, Yulius Nahak; Kusrini, Kusrini

doi:10.30700/jst.v9i1.448

Cited by 8 publications

(10 citation statements)

References 2 publications

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“…This method is very suitable for expert systems that diagnose something that is not certain [7]. The following is the notation for the Certainty factor [5] :…”

Section: Certainty Factormentioning

confidence: 99%

“…An expert system is also a computer system that can perform reasoning from an expert with expertise in a particular field [4]. And basically the expert system is applied to support problem solving activities usually used for consultation, analysis, diagnosis, and help make decisions [5]. Expert systems are designed so that expertise from experts to computers and then transferred to other people who are not experts is the main goal of expert systems [6].…”

Section: Introductionmentioning

confidence: 99%

“…One of the techniques used to overcome uncertainty in decision making is by using the Certainty Factor which expresses belief in an event based on evidence or expert judgment. Certainty Factor uses a value to assume the degree of confidence of an expert in a data [5].…”

Section: Introductionmentioning

confidence: 99%

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Expert System for Early Diagnosis of Tropical Malaria and Tertiana Malaria using Certainty Factor

Hasan¹,

Pawan²

2021

IJCIS

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Twano Health Center is one of the technical implementing units of the Jayapura City Health Office which organizes Health Efforts, but the constraints regarding the facilities and infrastructure of the Puskesmas are not yet adequate in supporting health services. Based on observations, the increase in the level of malaria sufferers in the Jayapura area is caused by parasites (protozoa) of the genus Plasmodium and the mode of transmission is through the bite of a female Anopheles mosquito. There are two types of malaria that are often experienced by Jayapura residents, namely Tropical Malaria (Plasmodium falciparum) and Tertiana (Plasmodium vivax). The purpose of this study is to create an expert system that can diagnose early diseases such as an expert or doctor using the Certainty Factor method which expresses belief in an event (fact or hypothesis) based on evidence or expert judgment in early diagnosis of Tropical Malaria and Tertiana. The research subjects taken were 5 patients who had symptoms of Malaria and 1 doctor to determine the symptoms of the disease) The expert system using the Certainty Factor method was used because this method was suitable in determining the disease, and the result was a percentage which was the level of accuracy in determining the patient's disease. Determination of the percentage is influenced by the MB value (a measure of the increase in confidence) and the MD value (a measure of the increase in distrust) obtained from the assessment of an expert. For data modeling using data flow diagrams (DFD) and website-based. Total accurate patient recapitulation results are 80% of the Expert System for Early Diagnosis of Tropical Malaria and Tertiana using Certainty Factor

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“…This method is very suitable for expert systems that diagnose something that is not certain [7]. The following is the notation for the Certainty factor [5] :…”

Section: Certainty Factormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Expert System for Early Diagnosis of Tropical Malaria and Tertiana Malaria using Certainty Factor

Hasan¹,

Pawan²

2021

IJCIS

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“…Oleh karena itu perlu adanya Sistem Pakar bagi wanita agar dapat mengetahui tentang estetika kulit, sehingga jika terjadi masalah estetika kulit dapat dilakukan penanganan secara tepat. Penelitian terdahulu tentang metode Certainty Factor telah dapat mendiagnosa penyakit kolesterol dan asam urat dengan akurasi sistem sebesar 80% [3]. Penelitian lainnya dengan metode Certainty Factor telah dapat mendeteksi penyakit ayam broiler dengan hasil akurasi sistem sebesar 90% [4].…”

Section: Pendahuluanunclassified

Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan

Chandra

Yunus

Sumijan

2020

jidt

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The skin is an important organ located on the outside of the human body that needs to be kept healthy. Good skin health will certainly increase self-confidence, especially for women. Lack of information about diseases and treatment solutions and the small number of professional estheticians means that women end up not consulting when skin problems arise. If left untreated, skin problems will be more serious. The purpose of this study was to identify the accuracy of skin problems in women so that a solution in caring for the skin was obtained. The data processed in this study are the results of an interview from an aesthetic doctor about skin problems in women and the solutions and symptoms experienced by patients. Then the data obtained manually were processed using the Certainty Factor method and tested with a website-based system. The processing stage of this method is the compilation of symptoms into rules, giving weight values for each symptom and calculating based on the Certainty Factor rule formula. The results of testing this method were 13 data on aesthetic skin diseases identified from 15 trial data. So that the level of accuracy is 86.67%. The results of this test have been able to identify well. The Certainty Factor method used can identify quite specifically and can be recommended to skin aesthetic doctors in increasing accuracy for identifying skin problems in women.

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“…Expert systems are computer-based applications that are used to solve problems according to the thoughts of experts. An expert refers to someone who has specialized professional knowledge and can solve problems that ordinary people cannot solve [2]. The Case Base Reasoning (CBR) approach is a problemsolving technique by comparing and mapping new cases with previous cases in a knowledge database.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Case Base Reasoning Method to Detect Hard Drive Damage

Nanang,

Pawan,

Hasan

2023

IJCIS

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Daily life includes the use of computers as electronic devices that are common in offices, libraries, schools, and shopping malls. However, users often face problems when the computer's hard drive encounters problems. As a non-formal educational institution that offers computer courses and training, Yayasan Sentra Anugrah Mandiri also experienced problems with hard drives of various brands and capacities. The technician checks and fixes the problem manually. Three people are usually responsible for monitoring twenty computers. If there is a problem, it is then reported to the administrator responsible for organizing the repair process. In this study, a website-based expert system is proposed that uses a similar approach to overcome these problems and improve the efficiency of handling hard drive problems. Retrieve, Reuse, Revise, and Revise are the four steps in the Case Base Reasoning (CBR) method.

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Sistem Pakar Diagnosa Penyakit Kolesterol Dan Asam Urat Menggunakan Metode Certainty Factor

Cited by 8 publications

References 2 publications

Expert System for Early Diagnosis of Tropical Malaria and Tertiana Malaria using Certainty Factor

Expert System for Early Diagnosis of Tropical Malaria and Tertiana Malaria using Certainty Factor

Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan

Implementation of Case Base Reasoning Method to Detect Hard Drive Damage

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