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Showing 82 articles found for "Readiness"

Analysis Error Student In Learning Geometry As Base Understanding Non-Euclidean Geometry : An Overview Literature Based on Newman's Error Analysis

Siregar, Dosta Ernauli, Purba, Lasvina Br., Chyntia, Jesica Dhea, Fauzi, KMS Muhammad Amin
Abstract: This study aims to identify the dominant error patterns of students in geometry learning based on Newman's Error Analysis (NEA) and to examine their implications for readiness to understand Non-Euclidean Geometry. The method… thod employed is a Systematic Literature Review (SLR) of 10 empirical articles published between 2019 and 2026. Data were extracted based on the five stages of NEA — reading, comprehension, transformation, process skill, and encoding — and subsequently analyzed through narrative synthesis, percentage comparison, and descriptive effect size. The results indicate that comprehension errors and encoding errors are the most dominant categories, with the highest percentages of 56.92% and 50%, respectively, followed by transformation errors, which consistently fall within a moderate effect range (20–40%), while reading errors and process skill errors are classified as low. The primary causes of errors include weak understanding of geometric concepts, inability in spatial visualization, limited mathematical language, and lack of procedural precision. The findings contribute as a diagnostic foundation for designing more effective geometry learning, while simultaneously serving as a conceptual bridge toward higher-level geometry

Performance Analysis of Lecturers of Computer Science Study, FMIPA, HKBP Nommensen University Pematangsiantar

Natasya Agustina Girsang, Nirma Sintina, Yosia Parapat, Mastiur Verawaty Silalahi, Masni Veronika Situmorang
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.