Every student and their parents want a high GPA with a summa cum laude degree. Many things can affect the GPA, three of which are achievement motivation, how to learn and the economic conditions of the parents of these students. The purpose of this study is to reveal how much the effect of achievement motivation, how to learn, and the economic conditions of parents on GPA of computer science student for individually or jointly variable. This research is associative research. The population in this study were all computer science department students who are active and registered at Putra Indonesia University YPTK Padang. The technique used for sampling is simple random sampling. Data processing methods are descriptive analysis and inferential analysis. The Inferential analysis consists of a normality test, variant homogeneity test, linearity test, hypothesis test 1, 2 and 3 (t-test), test coefficient of determination, and multiple variable hypotheses (F-test). By doing this research, it can be revealed that, 1. There is a positive and significant effect between achievement motivation on GPA with t count = 2.822 and t table = 1.99, t count> t table, 2. There is a positive and significant effect between the how to learn on GPA with t count = 2.486 and t table= 1.99 then t count > t table, 3. There is not a positive and not significant effect between the economic conditions of parents on the GPA with t count = 1.550 and t table = 1, 79 then t count > t table, 4. There is a positive and not significant effect between achievement motivation, how to learn, and parental economic conditions together GPA with F count = 3.220 and F table = 3.124 then F count > F table. This research is limited to the GPA scores of students who are active and registered at Putra Indonesia University YPTK Padang between 2017-2018. The uniqueness of this study is trying to express the effect of variables that are rarely linked before, namely the economic condition of parents of students on GPA. In addition, the research also revealed the effect of the three variables.
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