Fuzzy Unordered Rule Induction Algorithm Application Basic Programming Language Competence: A Rule-Based Model

Abstract

Objective: A rule-based model using Fuzzy Unordered Rule Induction Algorithm (FURIA) aimed to be developed in this study. Methods/Statistical Analysis: This study utilized a Machine-Learning algorithm called FURIA in developing the model. Graduates of the K to 12 programs in the Philippines who enrolled in the Bachelor of Science in Information Technology in a State University were the respondents of this study. Respondents were assessed using a self-made questionnaire in basic programming using Java programming language and validated both face validation and the internal reliability test with a Cronbach alpha value of 83. Furthermore, the steps performed in this study were the variable definition and data collection, data processing and cleaning, machine-learning algorithm application, verifying and interpreting the model, and reporting the model and synthesizing. Findings: This study revealed seven (7) rule-based models with a substantial rating in Kappa statistics and a very high accuracy rating in predicting the competencies by class. Applications/ Improvements: The researcher believed the need to unveil the competence of the Senior High School graduates in the K to 12 programs of the Department of Education in the Philippines in basic programming, which aimed to retool the type of teaching strategies to fit the competencies of the student. Keywords: Basic Programming, Competence, Data Mining, Fuzzy Algorithm, Fuzzy Unordered Rule Induction Algorithm (FURIA), Machine Learning, Rule Model