Implementation of Certainty Factor Method for Expert System

Sembiring, Ade Setiawan; Sulindawaty,; Manahan, Olven; Napitupulu, Merlin Helentina; Hasugian, Penda Sudarto; Riandari, Fristi; Simanjorang, R. Mahdalena; Simangunsong, Agustina; Utami, Yulia; Sihotang, Hengki Tamando

doi:10.1088/1742-6596/1255/1/012065

Cited by 22 publications

(19 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the system to be built, identification of the users involved in this expert system has been carried out. In data processing and decision making for uterine myoma disease diagnosis, Certainty Factor has the following IF E THEN H rules [12]:…”

Section: Methodsmentioning

confidence: 99%

Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

Putra

Ulum

Aryani

2021

Int. J. Eng. Scie. and Inform. Technology.

View full text Add to dashboard Cite

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

show abstract

Section: Methodsmentioning

confidence: 99%

Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

Putra

Ulum

Aryani

2021

Int. J. Eng. Scie. and Inform. Technology.

View full text Add to dashboard Cite

show abstract

“…The fuzzy logic's calculation can see the lower value in AND operator and the highest value in the OR operator. It is different with a certainty factor [48]. It has trust value on each premise and shows the measure of certainty of a fact or rule.…”

Section: Certainty Factormentioning

confidence: 99%

Application of Expert System with Smartphone-based Certainty Factor Method for Hypertension Risk Detection

Yendri¹,

Derisma²,

Yolanda³

et al. 2021

IJACSA

View full text Add to dashboard Cite

Hypertension is a factor health problem with a high prevalence in Indonesia. The total amount of hypertension nationwide is 34.11%. There are only 1/2 were diagnosed, and the remaining 1/2 are undiagnosed. Certainty factor was needed to prove the certain or not of a fact in a metric form, and it commonly was used in expert systems. This method was perfect for diagnosing something uncertain. This research aimed to build a smartphone-based hypertension risk detection system. This system was built by MPX5500DP pressure sensor components that served for blood pressure measurement, Bluetooth module HC-05 as microcontroller data transmission, Arduino Uno as sensor data processing, and Smartphone as hypertension risk detection interface and database access. Measuring blood pressure on the user's right or left arm was used to test the system. Then the data was sent to the smartphone to be classified and processed by using the certainty factor method implanted in the android smartphone to detect the risk of hypertension and then followed by the selection of symptoms and risk factors of hypertension according to previous experience. The results showed that the success rate of the system in detecting the risk of hypertension was 100%, the mean error of the systolic value of the right arm was 2.092%, and the average error of the diastolic value of the right arm was 2.977%, while the average error of the systolic value of the left arm. 1.944% and the mean error of the left arm diastolic value was 2.800%.

show abstract

“…Konsep Certainty Factor memberikan pengenalan keyakinan dan ketidakyakinan. Rumus dasar Certainty Factor [9] sebagai berikut:…”

Section: Metode Certainty Factorunclassified

Perbandingan Metode Certainty Factor dan Dempster Shafer untuk Sistem Pakar Depresi Pasca Melahirkan

Yunitasari

Voutama

Sulistiyowati

2021

View full text Add to dashboard Cite

Gangguan pasca melahirkan merupakan salah satu permasalahan yang dialami oleh seorang ibu setelah melahirkan. Emosional dan perubahan hormon yang tidak stabil setelah melahirkan menimbulkan gangguan psikologis seperti perasaan cemas, maupun depresi. Bagi masyarakat awam, gejala depresi pasca melahirkan dianggap biasa saja sehingga dengan keterbatasan pengetahuannya tidak memerlukan penanganan khusus. Namun hal ini tidak boleh dibiarkan, karena jika hal tersebut dibiarkan terus menerus dan semakin parah akan berdampak buruk pada kondisi ibu maupun bayinya. Melihat kasus yang terjadi maka sangat diperlukan sebuah informasi yang tepat dan mudah mengenai gangguan setelah mengembangkan suatu aplikasi yaitu sistem pakar. Metode Faktor Kepastian danDempster Shafer merupakan metode pakar sistem yang digunakan pada banyak kasus untuk mendukung ketidakpastian pemikiran dari seorang pakar. Penelitian ini bertujuan untuk membandingkan dua metode untuk mengetahui terbaik dalam sistem pakar diagnosis pasca melahirkan, dengan cara mendeteksi nilai CF pada metode Certainty Factor dan densitas pada metode Dempster Shafer . Hasil penelitian membuktikan bahwa metode Certainty Factor lebih baik dibandingkan metode Dempster Shafer dengan nilai perbandingan 90% yang dihasilkan oleh Certainty Factor dan 70% yang dihasilkan oleh Dempster Shafer .Penerapan yang tepat untuk aplikasi sistem pakar yang dibangun yaitu perhitungan metode Certainty Factor dalam membantu pendiagnosaan awal gangguan depresi pascamelahirkan dengan berbasis website .

show abstract

Implementation of Certainty Factor Method for Expert System

Cited by 22 publications

References 2 publications

Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

Application of Expert System with Smartphone-based Certainty Factor Method for Hypertension Risk Detection

Perbandingan Metode Certainty Factor dan Dempster Shafer untuk Sistem Pakar Depresi Pasca Melahirkan

Contact Info

Product

Resources

About