Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining

Rusdiansyah, Rusdiansyah; Setiawan, Santoso; Badrul, Mohammad

doi:10.33395/sinkron.v3i2.10055

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…Then according to (Prambudi, Widodo, & Widodo, 2018) in (Rusdiansyah, Setiawan, & Badrul, 2019) an inference that connects a multiplication problem with solution called chain. A chain is sought or is bypassed or crossed from a problem to obtain the solution referred to as Forward Chaining.…”

Section: Forward Chaining Methodsmentioning

confidence: 99%

Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method

Pahlevi

Atmojo

2020

SinkrOn

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Cacao plants originated from South America, then spread to North America, Africa and Asia. In Indonesia, cocoa has been known since 1560, but has become an important commodity since 1951. Cacao commodity plays an important role in the national economy and is a national mainstay commodity. This shows that cocoa is one of the results of plantation commodities that have a high economic value and play an important role as a source of foreign exchange through exports, as well as encouraging the regional economy, especially in rural areas. But behind the high value of cocoa production, there are problems faced, including the low quality of cocoa in Indonesia because cocoa plantations in Indonesia are threatened by pests and plant diseases. Lack of information that is known by the plantation and cocoa farmers about the types of diseases that attack cocoa plants, causing many cocoa plants that are not handled properly. If this is allowed to continue it will impact on the declining quality and production of cocoa plants. Current advances in information technology, especially cellular phones, can be used as a means to improve public services, one of the results of the development of cellular technology is the birth of cellular phones with the android operating system. In this research produced if the symptoms data entered could not find the type of cocoa plant disease because the input data did not match any disease data in the database, the system would display the word "Can not find the disease you are looking for because it is not related to fruit rot disease, stem cancer, vascular antraknosem, streak dieback, upas fungus and root fungus ". From the data of symptoms, diseases and relations above, the algorithm is depicted using a decision tree. Decision tree is a picture of tracking symptoms, determining the disease and concluding results in the form of a solution. In this application, using the Forward Chaining method so that tracking begins with the selection of symptoms experienced then the results of the diagnosis in the form of cocoa plant diseases.

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Section: Forward Chaining Methodsmentioning

confidence: 99%

Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method

Pahlevi

Atmojo

2020

SinkrOn

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“…The aim of developing an expert system is to create a system that has the ability to recommend a series of actions to users to solve the problems faced [16]- [18]. Expert systems are able to project or predict an event by processing data to detect a disease based on the symptoms experienced by the patient based on a knowledge base and an inference engine which contains rules [19]- [22]. One use of an expert system is to diagnose children under five who are experiencing developmental disorders by detecting the symptoms they are experiencing such as not gaining weight, not increasing height, head circumference and others.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy expert system design for detecting stunting

Wanti,

Somantri,

Adi Prasetya

et al. 2024

IJEECS

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Stunting is a chronic nutritional problem that occurs in toddler due to lack of nutritional intake which results in impaired growth toddler. Usually, toddler who experience stunting are characterized by not increasing weight over a long period of time. Application utilization health which makes it easier for users to access information, one of which can be used to identify toddler who are stunted by selecting symptoms. The symptoms experienced by toddlers go through a system known as the system expert. In this research an expert system will be developed that is capable of early detection developmental disorders in toddlers using the Mamdani fuzzy method. The results obtained from this research are an expert system design for early detection of stunting using the Mamdani fuzzy method. The Mamdani fuzzy method was implemented to group the criteria for toddlers who fall into the stunting category or not from the initial data which is still gray because they are still unsure whether to categorize the toddler as having stunting or not. The detection accuracy rate using the Mamdani fuzzy method is 80.87% compared to expert diagnosis.

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“…The existence of experts can be replaced with a system that stores knowledge about a field in detail and specifically which is then called an expert system [6], [7]. By inputting all the symptoms that occur in children into the knowledge base of the system, the expert system can be used to diagnose developmental disorders that occur without time and place restrictions [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis

Wanti¹,

Puspitasari

2022

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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Diagnosis of autism spectrum disorder (ASD) can use a fuzzy inference system. The use of fuzzy logic method to obtain ASD diagnosis results according to experts based on the limits of factors/symptoms of the disease and all the rules obtained from experts. Recommendations for therapy and preventive actions can be given by experts after knowing the results of the diagnosis of ASD using the fuzzy logic method. This study serves to diagnose ASD by optimizing each degree of membership in the fuzzy logic method with the Mamdani method approach which is involved in the autism detection process involving 96 patient data. The Mamdani method itself can process an uncertain value from the user/patient into a definite value whose membership degree can be determined and adjusted to the conditions of the problem. Optimization was carried out on the degree of membership for all variables involved in the process of diagnosing ASD, namely social interaction, social communication and imagination and behavior patterns. The results of this study indicate a relatively small level of fuzzy calculation error with a precision value of 94.4%, a recall precision value of 65.4% and an error rate value of 3.05%. Calculation of accuracy shows a result of 90.59%.

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Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining

Cited by 4 publications

References 1 publication

Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method

Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method

Fuzzy expert system design for detecting stunting

Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis

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