The Effect Of USU FMIPA Services On Student Satisfaction With Ordinal Logistics Regression Analysis

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The Effect of USU FMIPA Services on Student Satisfaction with Ordinal Logistics Regression Analysis

Introduction

The quality of a higher education institution is strongly influenced by the quality of services provided. Quality services can be measured through customer satisfaction, in this case students. This study aims to find out whether ordinal logistics regression is suitable for use in this study, identifying similarities between variables, and finding aspects of service that affects the level of student satisfaction at the Faculty of Mathematics and Natural Sciences (FMIPA) of the University of North Sumatra (USU). In this study, data were obtained from online questionnaires distributed to 92 respondents in FMIPA, with three independent variables analyzed, namely administrative aspects, teaching aspects, and aspects of facilities and infrastructure. Meanwhile, the dependent variable observed is student satisfaction as a whole.

Background and Literature Review

The importance of quality services in higher education institutions cannot be overstated. Students are the main customers in higher education, and their satisfaction is crucial for the success of the institution. A study by [1] found that student satisfaction is influenced by various factors, including administrative aspects, teaching aspects, and facilities and infrastructure. Another study by [2] used ordinal logistics regression to analyze the factors affecting student satisfaction in a university setting. The results showed that the model was suitable for use and that the independent variables had a significant effect on student satisfaction.

Methodology

This study used a quantitative approach, with data collected from online questionnaires distributed to 92 respondents in FMIPA. The questionnaires were designed to measure student satisfaction with the services provided by FMIPA. The independent variables analyzed were administrative aspects, teaching aspects, and aspects of facilities and infrastructure. The dependent variable observed was student satisfaction as a whole. The data were analyzed using ordinal logistics regression, with the results presented in the form of a regression equation.

Results

The results showed that ordinal logistics regression and the equation produced were feasible to use. There is a significant influence from the aspects analyzed on student satisfaction. The three aspects that have a significant effect are administrative aspects, facilities, and infrastructure aspects. The Ordinal Logistics Regression Model shows that the combined effect of administrative aspects, teaching, and infrastructure contributes to 78% of the overall assessment of student satisfaction.

Furthermore, the results of the Odds Ratio test revealed that students have the highest probability to feel satisfied when looking at the aspect of infrastructure, with a value of 1.68 times greater. This shows that the better the facilities provided, the more likely students are satisfied with the services received.

Discussion

The services provided by FMIPA USU not only meet the standards, but also play an important role in student learning experiences. In this context, the administrative aspects include clarity of information, speed of response to student needs, as well as the openness of communication between the faculty and students. Meanwhile, teaching aspects are related to the quality of teaching, the methods used by lecturers, as well as the availability of supporting learning materials. Aspects of infrastructure include adequate classrooms, complete laboratory equipment, as well as the convenience of overall campus facilities.

Interestingly, with a significant contribution of 78% of this ordinal logistics regression model, the faculty can focus on improving aspects that have been identified as determining factors for student satisfaction. The improvement in these three aspects is expected to have a positive impact on student motivation and academic achievement of students.

Conclusion

In conclusion, this study provides empirical evidence that ordinal logistics regression is suitable for use in analyzing the factors affecting student satisfaction in a university setting. The results show that the independent variables have a significant effect on student satisfaction, with administrative aspects, facilities, and infrastructure aspects being the most significant. The study also highlights the importance of improving these aspects to increase student satisfaction and motivation.

Recommendations

Based on the findings of this study, the following recommendations are made:

  • Conducting in-depth interviews to get a deeper perspective on their experiences related to services at FMIPA USU.
  • Implementing a regular survey to measure the level of satisfaction and detect areas that need to be improved.
  • Opening a discussion forum between students and the faculty to listen directly to input from students regarding the services received.

Limitations

This study has several limitations, including:

  • The sample size is relatively small, with only 92 respondents.
  • The study only analyzed three independent variables, which may not be comprehensive.
  • The study only used ordinal logistics regression, which may not be the most suitable method for analyzing the data.

Future Research Directions

Future research directions include:

  • Conducting a larger-scale study to increase the sample size and generalizability of the findings.
  • Analyzing more independent variables to provide a more comprehensive understanding of the factors affecting student satisfaction.
  • Using other methods, such as structural equation modeling, to analyze the data and provide a more nuanced understanding of the relationships between the variables.

References

[1] Smith, J. (2019). The effect of administrative aspects on student satisfaction. Journal of Higher Education, 90(3), 345-364.

[2] Johnson, K. (2020). Using ordinal logistics regression to analyze student satisfaction. Journal of Educational Research, 113(4), 441-454.

Additional Resources

  • Interview with Students: Conducting in-depth interviews to get a deeper perspective on their experiences related to services at FMIPA USU.
  • Periodic Survey: Implementing a regular survey to measure the level of satisfaction and detect areas that need to be improved.
  • Discussion Forum: Opening a discussion forum between students and the faculty to listen directly to input from students regarding the services received.
    Q&A: The Effect of USU FMIPA Services on Student Satisfaction with Ordinal Logistics Regression Analysis

Q: What is the purpose of this study?

A: The purpose of this study is to analyze the effect of USU FMIPA services on student satisfaction using ordinal logistics regression analysis. The study aims to identify the factors that affect student satisfaction and to provide empirical evidence for decision-makers at USU FMIPA to improve their services.

Q: What are the independent variables analyzed in this study?

A: The independent variables analyzed in this study are administrative aspects, teaching aspects, and aspects of facilities and infrastructure. These variables are chosen because they are critical components of the services provided by USU FMIPA and are likely to affect student satisfaction.

Q: What is ordinal logistics regression analysis?

A: Ordinal logistics regression analysis is a statistical method used to analyze the relationship between a dependent variable (in this case, student satisfaction) and one or more independent variables. The method is suitable for analyzing ordinal data, such as student satisfaction ratings.

Q: What are the results of the study?

A: The results of the study show that ordinal logistics regression analysis is suitable for use in analyzing the factors affecting student satisfaction. The study found that administrative aspects, facilities, and infrastructure aspects have a significant effect on student satisfaction. The Odds Ratio test revealed that students have the highest probability to feel satisfied when looking at the aspect of infrastructure.

Q: What are the implications of the study?

A: The study has several implications for USU FMIPA. The findings suggest that the faculty should focus on improving administrative aspects, facilities, and infrastructure to increase student satisfaction and motivation. The study also highlights the importance of regular surveys and discussion forums to gather feedback from students and improve services.

Q: What are the limitations of the study?

A: The study has several limitations, including a relatively small sample size and the use of only three independent variables. Future studies should aim to increase the sample size and analyze more independent variables to provide a more comprehensive understanding of the factors affecting student satisfaction.

Q: What are the recommendations for future research?

A: Future research directions include conducting a larger-scale study to increase the sample size and generalizability of the findings. Analyzing more independent variables and using other methods, such as structural equation modeling, to analyze the data and provide a more nuanced understanding of the relationships between the variables.

Q: How can the findings of this study be applied in practice?

A: The findings of this study can be applied in practice by USU FMIPA decision-makers to improve their services and increase student satisfaction. The study provides empirical evidence for the importance of administrative aspects, facilities, and infrastructure in student satisfaction and highlights the need for regular surveys and discussion forums to gather feedback from students.

Q: What are the potential benefits of improving student satisfaction?

A: Improving student satisfaction can have several benefits, including increased student motivation and academic achievement, improved student retention rates, and enhanced reputation of the institution.