The Development of System Learning about Programming Language by Multiple Intelligence base on Problem-Based Learning

Abstract

The purposes of this research were to development of system learning about programming language by multiple intelligence base on problem-based learning. There are two steps in the research. 1) To synthesize a model of academic learning computer programming language by multiple intelligence base on problem-based learning and evaluate the model. The tools uses structured interview. 2) To development of system learning about programming language by multiple intelligence base on problem-based learning. PHP language and MySQL as a development tool. Examples include a group of five experts in higher education and the use of 30 people. The tools uses 5 expert and Data were analyzed Mean and SD.
Results indicated the data synthesis of the MIPBL learning model for programming language resulted in 5 modules: Opened module, studied module, scaffold module, evaluated module and closed module.. And evaluating system performance. Found that the average level in most. (X ̅ = 4.84, SD = 0.17). And evaluation of satisfaction of users found that users were more satisfied in most. (X ̅ = 4.56, SD = 0.43).