Design of Framework for Students Recommendation System in Information Technology Skills

One of the problems of learners is learners do not know their own skills. Especially learners who study IT field will have different aptitudes. If learners do not know their aptitude will affect themselves such as learning without a goal, and so on. The objective of this research is to design of conceptual framework for students recommendation for Information Technology skills. The concept framework consists of five modules. (1) to introduce the pattern base module which is an analysis by data mining. (2) to explain the mapping module for students. (3) to present the forecasting module which connect to the mapping module. (4) to present the web portal module. Web portal module is the User interface (UI) to connect user with system application. (5) to describe the Information Technology skills. This module consists of four parts; (1) programming skills (2) System engineering and network engineering (3) Graphic designs (4) other skills. Information Technology skills are mapped by using Multiple Intelligence theory. The process of selection pattern base, is use to compare the algorithm which is consisted of three algorithms (1) ID3 algorithm (2) J48 algorithm (3) Bayes Net algorithm. J48 algorithm is the highest percentage of prediction. Percentage of prediction for J48 algorithm is 78.267 % which base on pattern base for recommendation systems.