Implementation of Forward Chaining and Certainty Factor Method on Android-Based Expert System of Tomato Diseases Identification

Muludi, Kurnia; Suharjo, Radix; Syarif, Admi; Ramadhani, Fitria

doi:10.14569/ijacsa.2018.090957

Cited by 13 publications

(8 citation statements)

References 7 publications

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“… Kurnia Muludi, Radix Suharjo, Admi Syarif, and Fitria Ramadhani (2018) identified tomato plant diseases [20]. This previous research and the research in this article both implements forward chaining and certainty factor methods.…”

Section: Introductionmentioning

confidence: 85%

“…This previous research and the research in this article both implements forward chaining and certainty factor methods. However, the difference in the last research is to build an expert system to identify plant diseases based on android [20]. In contrast, the research in the article builds an expert system to identify users of drugs and the types of drugs used based on the website.…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning for Diagnosing Drug Users and Types of Drugs Used

Anggrawan¹,

Satria²,

Nuraini³

et al. 2021

IJACSA

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Drug use is very detrimental to the physical and psychological health of users. Drug abuse also causes addiction and is a global epidemic. Therefore it is not surprising that scientific research related to drugs has attracted attention for research. However, many factors become obstacles in the medical services of the drug user, including cost, flexibility, and a slow process. Meanwhile, electronic systems can speed up handling time, improve work efficiency, save costs and reduce inspection errors. It means that a breakthrough is needed in developing a platform that can identify drug users. Therefore, this research aims to build machine learning with expertise like an expert who can diagnose drug users and distinguish the types of drugs used by drug users. The expert system on machine learning was developed using the Forward Chaining and Certainty Factor methods. This study concludes that the expert system on machine learning developed can be used to diagnose drug users and distinguish the types of drugs used with an accuracy of up to 80%. The implications of the expert system on machine learning are an alternative method for narcotics officers and medical doctors in diagnosing drug users and the types of drugs used.

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Section: Introductionmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Machine Learning for Diagnosing Drug Users and Types of Drugs Used

Anggrawan¹,

Satria²,

Nuraini³

et al. 2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…It can give more than one disease as a result based on their probability (Munandar, Suherman, & Sumiati, 2012;Ramadhan & Pane, 2018). Previous researchers also show that CF method successfully provides high accuracy in detection of disease in a human or plants (Muludi, Suharjo, Syarif, & Ramadhani, 2018;Sevani & Chandra, 2016;Gunawan & Wardoyo, 2018;Ramadhan & Pane, 2018;Ratama, 2018;Halim & Hansun, 2015;Aji et al, 2018).…”

Section: Introductionmentioning

confidence: 95%

Using Certainty Factor Method to Handle Uncertain Condition in Hepatitis Diagnosis

Saputri¹,

Sevani

Saputra³

et al. 2020

ComTech

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The research aimed to develop a web-based application using the certainty factor. The use of this certainty factor method allowed processing the data based on the degree of confidence from the experts and the users. The users inputted their symptoms each with the level of confidence. The inference engine drew some conclusions based on the matching process between the input and the rules in the knowledge-based. For every matching pair, the system would calculate the certainty factor. The knowledge-based was developed through discussion with three specialist physicians and literature in some previous studies. The evaluation of the system involved three specialists for validation testing and 51 respondents for BlackBox testing. The final result is displayed in the form of a percentage for each hepatitis type, explanation of first aid for hepatitis, and referral hospital for hepatitis patients. The result shows that the error rate in the diagnosis process is under 36%. Most of the respondents think that the quality of the system is good overall.

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“…MD(H,E)= measure of disbelief in H, if E is given (between 0 and 1) H=Hypothesis E=Evidence (event or fact) An expert system mostly has more than a rule and some premises are related to AND or OR. The knowledge about premises is possibly uncertain due to the CF values given by patients as they answer questions from the system on the premises (symptoms) happening to the patient or the hypothesis of CF values [21]. Some rules for CF formula are shown in the following [3],…”

Section: Cf[he]=mb[he] Md[he]mentioning

confidence: 99%

The Diagnosis of Online Game Addiction on Indonesian Adolescent Using Certainty Factor Method

Saddhono¹,

Setyawan²,

Raharjo³

et al. 2020

ISI

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This research discusses about online games which become ones of the most popular commodities, particularly among adolescents. It is suggested that they prefer spending time by playing online games to studying. Consequently, the phenomenon of online game addiction gets significant. The study aimed to explain and describe the use of Certainty Factor Method with expert system to diagnose online game addiction on adolescents. Its setting was Java island by involving some students as subject of the study. Survey method was employed to obtain the data while its instrument in terms of questionnaire was provided in Google forms and distributed to the students. An interactive qualitative approach was deployed to analyze the data combined with certainty factor method to show the level of game online addiction. The result shows from the sample of data which have analyzed addiction level toward online games is relatively moderate. Most of the users are adolescents between 12 and 15 years old and spend about 4 until 6 hours in a day. This condition becomes worse if there is no treatment for adolescents. Hence, there is a need of parents' control and awareness toward children's activity in playing online games since it renders negative impacts particularly on children's learning activity and motor development.

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Implementation of Forward Chaining and Certainty Factor Method on Android-Based Expert System of Tomato Diseases Identification

Cited by 13 publications

References 7 publications

Machine Learning for Diagnosing Drug Users and Types of Drugs Used

Machine Learning for Diagnosing Drug Users and Types of Drugs Used

Using Certainty Factor Method to Handle Uncertain Condition in Hepatitis Diagnosis

The Diagnosis of Online Game Addiction on Indonesian Adolescent Using Certainty Factor Method

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