The amount of learning time per week

Oct 13, 2025 by pynkocean.com 124 views

Analysis of the Path of the Factors that Influence the 2018 FMIPA USU Statistics Cumulative Achievement Index (GPA)

Education and Human Resources Development

Education plays a vital role in improving the quality of human resources (HR) both personally and socially. The success of education is reflected in the achievements of someone during education, ranging from elementary to college. In tertiary institutions, learning achievement is measured through the cumulative achievement index (GPA). This study aims to analyze the factors that influence the 2018 Statistics Student GPA FMIPA USU using the path analysis.

Path Analysis: A Modification of Regression Analysis

Path analysis is a modification of regression analysis that considers the effect of independent variables on the dependent variable, both directly and indirectly. In this study, the factors studied include:

Pocket money: A source of funds that can be used to meet learning needs, such as buying books, stationery, and internet access.
Many organizations: Participation in student organizations can provide experience and self-development, but can also reduce learning time.
Internet Use: The use of the internet for academic purposes, such as finding references and doing assignments, can increase understanding and learning outcomes.
Long Learning: Optimal learning time dedication can increase mastery of material and academic achievement.

Path Analysis Results

This study shows that the factors studied have a significant influence on the 2018 Statistics Student GPA FMIPA USU. The results of the path analysis produce two equations:

Equation 1: y = −0.536x1 + 0.082x2 − 0.611x3 + 11.4. This equation shows that the amount of study time per week (Y) is influenced by many organizations (X1), the use of the internet per month (X2), and the amount of allowance per week (X3).
- Together, exogenous variables (XI) explain 88.58% variations in the amount of study time per week.
- The remaining 11.42% is influenced by other factors that are not included in the path model.
Equation 2: Z = 0.328x1 + 0.636x3 + 1.527y + 34.2. This equation shows that GPA (Z) is influenced by many organizations (X1), the amount of allowance per week (X3), and the amount of study time per week (Y).
- Together, exogenous variables (XI) and the amount of study time per week (Y) explain 65.6% variations in the GPA.
- The remaining 34.4% is influenced by other factors that are not included in the path model.

Interpretation and Implications

The results showed that the factors studied had a complex role in influencing GPA.

The amount of learning time per week: The results of the analysis show that longer learning time tends to be associated with a higher GPA.
Many organizations: Participation in many organizations has a negative influence on learning time, which in turn can reduce GPA. This shows the importance of a balance between organizational and study activities.
Internet use: The use of the internet per month has a low positive influence on study time. This shows that students need to use the internet effectively to improve learning, not just for entertainment.
Pocket money: The amount of allowance per week has a relatively low positive influence on study time and GPA. This may be because students already have other sources of funds to meet their learning needs.

Recommendation

Students are advised to manage learning time effectively and efficiently, weighing the organizational activities that are followed.
The use of the internet should be focused on academic activities such as finding references and doing tasks.
Improving the quality of learning, such as through a more diverse learning tutoring program and access to learning resources, can help students improve their GPA.

Limitations and Future Research Directions

The results of this study provide an overview of the factors that influence the 2018 Statistics Student GPA FMIPA USU. However, this research has limitations, such as using only data from one student generation. Further research with a broader scope can be done to gain a more comprehensive understanding of the factors that influence student GPA.

Conclusion

In conclusion, this study provides a comprehensive analysis of the factors that influence the 2018 Statistics Student GPA FMIPA USU. The results show that the factors studied have a significant influence on GPA, and that students need to manage learning time effectively and efficiently to improve their academic achievement. The study also highlights the importance of balancing organizational and study activities, and using the internet effectively for academic purposes.
Frequently Asked Questions (FAQs) about the Analysis of the Path of the Factors that Influence the 2018 FMIPA USU Statistics Cumulative Achievement Index (GPA)

Q: What is the purpose of this study?

A: The purpose of this study is to analyze the factors that influence the 2018 Statistics Student GPA FMIPA USU using the path analysis.

Q: What are the factors studied in this research?

A: The factors studied in this research include:

Pocket money: A source of funds that can be used to meet learning needs, such as buying books, stationery, and internet access.
Many organizations: Participation in student organizations can provide experience and self-development, but can also reduce learning time.
Internet Use: The use of the internet for academic purposes, such as finding references and doing assignments, can increase understanding and learning outcomes.
Long Learning: Optimal learning time dedication can increase mastery of material and academic achievement.

Q: What are the results of the path analysis?

A: The results of the path analysis produce two equations:

Equation 1: y = −0.536x1 + 0.082x2 − 0.611x3 + 11.4. This equation shows that the amount of study time per week (Y) is influenced by many organizations (X1), the use of the internet per month (X2), and the amount of allowance per week (X3).
Equation 2: Z = 0.328x1 + 0.636x3 + 1.527y + 34.2. This equation shows that GPA (Z) is influenced by many organizations (X1), the amount of allowance per week (X3), and the amount of study time per week (Y).

Q: What do the results of the path analysis mean?

A: The results of the path analysis show that the factors studied have a significant influence on the 2018 Statistics Student GPA FMIPA USU. The results also show that students need to manage learning time effectively and efficiently to improve their academic achievement.

Q: What are the implications of the results?

A: The implications of the results are that students need to balance organizational and study activities, and use the internet effectively for academic purposes. Improving the quality of learning, such as through a more diverse learning tutoring program and access to learning resources, can also help students improve their GPA.

Q: What are the limitations of this study?

A: The limitations of this study include using only data from one student generation. Further research with a broader scope can be done to gain a more comprehensive understanding of the factors that influence student GPA.

Q: What are the recommendations for students based on the results of this study?

A: Students are advised to manage learning time effectively and efficiently, weighing the organizational activities that are followed. The use of the internet should be focused on academic activities such as finding references and doing tasks. Improving the quality of learning, such as through a more diverse learning tutoring program and access to learning resources, can also help students improve their GPA.

Q: What are the recommendations for educators and policymakers based on the results of this study?

A: Educators and policymakers are advised to provide students with access to learning resources and opportunities for self-development, while also ensuring that students have sufficient time to dedicate to learning. The use of technology, such as online learning platforms and educational software, can also help to improve the quality of learning and increase student engagement.

Q: What are the future research directions based on the results of this study?

A: Future research directions include conducting a broader study that includes data from multiple student generations, and exploring the impact of other factors on student GPA, such as family background and socioeconomic status.