Abstract:This study aims to assess the performance of lecturers in the Computer Science Study Program at HKBP Nommensen University Pematangsiantar from the perspective of students and identify areas that need improvement to enhance…
ce the academic quality of the study program. The study uses a quantitative approach through a survey. The researchers collected data using a five-point Likert scale questionnaire distributed to 103 students of the Computer Science Study Program who had attended lectures. The researchers analyzed five aspects: teaching readiness, teaching materials, teaching discipline, teaching evaluation, and lecturer personality. We analyzed the data using descriptive statistics, calculating the percentage of student responses for each aspect of the assessment. The results of the study show that the performance of lecturers in the Computer Science Study Program at HKBP Nommensen University Pematangsiantar is generally in the good to very good category. The aspects of teaching readiness, teaching materials, teaching discipline, and teaching evaluation received very good ratings. The aspect of lecturer personality was in the good category. However, we must improve lecturer performance in the aspect of research. We must improve productivity, continuity of research activities, and scientific publications. The results of this study are expected to be used as evaluation material and a basis for policy-making for institutions in their efforts to improve the quality of lecturers and higher education in a sustainable manner.
Abstract:The problem in this study is that Accounting Learning Outcomes have not met expectations in the 11th grade Accounting students of SMK Negeri 1 Patumbak. This study aims to determine the effect of Self-Efficacy and Learning…
ng Motivation on Learning Outcomes, with Learning Independence as a moderating variable, in 11th grade students at SMK Negeri 1 Patumbak. This research was conducted at SMK Negeri 1 Patumbak, located at Jl. Ujung Defense, Lantasan Baru, Patumbak District, Deli Serdang Regency, North Sumatra. This study used an ex post facto approach. The population was 35 11th grade Accounting students. The sample size was 35 students, using total sampling. Data collection was conducted through documentation and questionnaire distribution. The questionnaire was first tested for validity and reliability. The collected data was then processed using multiple linear regression with SPSS version 30 software. The results of this study indicate that: (1) Self-efficacy has a positive and significant effect on students' accounting learning outcomes. This is indicated by a regression coefficient of 0.321 with a significance level of 0.021, which is less than 0.05. (2) Learning motivation has a positive and significant effect on students' accounting learning outcomes. The analysis results show a regression coefficient of 0.428 with a significance level of 0.004, which is less than 0.05. (3) Self-efficacy and learning motivation simultaneously have a significant effect on students' accounting learning outcomes. This is proven by a calculated F-value of 18.672 with a significance level of 0.000, which is less than 0.05. (4) Learning independence moderates the effect of self-efficacy on accounting learning outcomes. This is indicated by the significance value of the interaction variable between self-efficacy and learning independence of 0.043, which is less than 0.05. (5) Learning independence moderates the influence of learning motivation on accounting learning outcomes. The analysis results show a significance value of the interaction variable between learning motivation and learning independence of 0.029, which is less than 0.05. This means that learning independence strengthens the influence of learning motivation on students' accounting learning outcomes
Abstract:This study aims to examine the application of the High-Low method, Scatterplot, and Least Squares in cost analysis, particularly in separating fixed and variable cost behavior. The research uses a library research approach…
ch by collecting and reviewing literature from textbooks, journals, and official publications related to cost estimation and cost behavior modeling. The findings indicate that the High-Low method is simple because it uses only the highest and lowest activity levels, but its accuracy is limited due to reliance on extreme data points. The Scatterplot method provides a visual representation of the relationship between cost and activity, helping identify patterns and potential outliers; however, its results may vary due to subjective judgment in determining the cost line. Meanwhile, the Least Squares method is considered the most accurate because it utilizes all available data to produce the best-fit regression line, although it requires more complex calculations and statistical understanding. Overall, the selection of the most suitable method depends on the objective of the analysis, data availability, and the level of accuracy required