ABSTRACT
The development of computer technology are increasingly demanding advanced
data processing technology solutions faster and cheaper. Nvidia CUDA is a parallel
processing technologies that combine the Central Processing Unit (CPU) and Graphics
Processing Unit (GPU) to improve the performance of processing data in parallel. In
Indonesia, the use of Nvidia CUDA parallel processing has not been widely known.
Therefore, in this thesis is the module learning guidance and lab guidance module for
parallel processing course.
Module learning guidance consists of 7 topics guidelines and lab module consists
of 8 topic guidelines. Guidelines learning and lab guidelines have gone through testing
against 43 students taking the basic course programming, testing conducted through
questionnaires. After filling out the questionnaire, the next stage of data analysis
through hypotheses test.
Validity and reliability tests can not be executed. The results of hypothesis testing
are the respondents are not satisfied with the learning guidelines but satisfied with lab
guidelines. There was also tested in a lab for students with prerequisite course parallel
processing. The results of the testing lab is 5 of 6 topics lab tested has exceeded the
standard appraisal practice and 1 topic still needs improvement. In addition there was no
significant difference in score between the students who have less ipk than 3 with
