Nursikuwagus, Agus and R Andani, Nevisa and Hartono, Tono (2021) Construct and design prediction system of level children retardation in certainty factor model. Journal of Engineering Science and Technology, 16 (2). ISSN 18234690
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Abstract
Children with special needs tend to have the ability with a unique personality background and different from other children. Teacher faces difficulties in predicting the level of children retardation. The limited human inference becomes the main obstacle in this issue. Related to this, this study has directed to overcome the limitation by developing a software for inferring the prior knowledge and providing the information to predict the level of retardation. The purpose of this research is to help teachers in predicting and obtaining the level of retardation with the assertion of prior knowledge that build a knowledge model in forward chaining inference. We used forward chaining method inference to match the level of retardation with certainty factor. The benefit of certainty factor is the process of deployment on numeric calculation with the formula that composes certainty value and rules from prior knowledge. Combining IF-THEN rule and certainty factor calculation have given a close to precise value ranging from 0 to 1. This study formulated for every prior knowledge with the expert prediction value. We built 35 rules from prior knowledge and construct IF-THEN rule. The result of the research is a prediction software that can measure the level of retardation for children. The impact of this research is that teachers can obtain the precise level of retardation and determine the treatments to be given
| Item Type: | Article |
|---|---|
| Subjects: | ?? UNIK1543 ?? |
| Divisions: | Universitas Komputer Indonesia |
| Depositing User: | Yudha Taufik Nugraha |
| Date Deposited: | 02 Feb 2023 07:24 |
| Last Modified: | 02 Feb 2023 07:24 |
| URI: | http://repository.unikom.ac.id/id/eprint/69716 |
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