Usino, Wendi
Department of Informatics Engineering
Articles
2
Documents
SISTEM PAKAR PEMBAGIAN WARIS MENGGUNAKAN METODE FORWARD DAN BACKWARD CHAINING

KREA-TIF Vol 3, No 2 (2015)
Publisher : Department of Informatics Engineering

Show Abstract | Original Source | Check in Google Scholar | Full PDF (845.459 KB)

Abstract

Division of inheritance problems often lead to internal conflicts in the  family and sometimes have to be resolved through religious courts. The science of inheritance distribution in Islam is called fara’idh, while the religious court used KHI (Compilation of Islamic Law). The small number of Muslims who understand the science faraidh and KHI and the difficulty of getting an expert in the science, is a problem that must be solved. Offered a solution to the division of inheritance expert system using forward and backward chaining method on the basis of rules (rule-based reasoning). By using both methods can produce an expert system that is able to calculate the  division of inheritance to the heir or heirs of a replacement in a single input and process. Users can also elect to use faraidh or KHI and predict the outcome.

Analyzing Decision Support System for Determining Eligibility of Home Ownership Loan Using Fuzzy Mamdani Logical Method and Technology Acceptance Model in Banking

Data Science: Journal of Computing and Applied Informatics Vol 3 No 1 (2019): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Original Source | Check in Google Scholar

Abstract

Every year, the number of people who want to own a house by credit increase, therefore the chances of increasing problem loans will be greater. Non-Performing Loan (NPL) is an indicator to assess the performance of bank functions. The higher the NPL value, the performance of the bank is considered worse. In order to maintain the caution of banks (creditors) in the provision of credit, the bank needs to assess and determine the criteria of debtors who can be given credit. So the bank can make decisions precisely and accurately. In this research, the Researcher will design decision support system with Mamdani fuzzy logic method with the resulted output in the form of "rejected" or "approved" decision. The accuracy rate in this study is 98%. 2% of the difference consists of 63.64% is a debtor with NPL credit status (problematic). After the system was designed in this study, the researcher conducted an analysis to see the user behavior when using the system. The method used is Technology Acceptance Model (TAM). The result of TAM analysis is the simultaneous relationship among of all variables on the acceptance of information technology (acceptance of IT) have a positive impact. However, a partial relationship between perceived usefulness and attitude toward using does not have a positive effect.