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All Journal JEES (Journal of English Educators Society) Jurnal Literasiologi Jurnal Pengabdian Al-Ikhlas Journal of Research and Educational Research Evaluation Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Journal of Computer Science and Information Systems (JCoInS) Educational Journal
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Analisis Uji Regresi Linear Sederhana dalam Penelitian Pendidikan Lestari, Vina; Angriani Lubis, Rina; Hairani Tbn, Reni; Zulpan, Zulpan; Arianto, Arianto
Educational Journal Vol. 1 No. 3 (2026): FEBRUARI-APRIL
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/3h3knm56

Abstract

This study aims to explore the use of simple linear regression in the educational context, particularly in evaluating the effect of a single independent variable on a single dependent variable, such as the relationship between learning motivation and students’ academic achievement. The approach adopted is a literature study by examining various scientific references, including journals, books, and research articles related to simple linear regression. The findings indicate that simple linear regression plays an important role in education for measuring, predicting, and understanding quantitative interactions between variables. This method assists educators and researchers in identifying factors that significantly influence learning outcomes and in assessing the effectiveness of information-based learning programs. Moreover, simple linear regression offers advantages such as ease of analysis, predictive capability, and flexibility in its application across diverse educational contexts. This study emphasizes that simple linear regression is a fundamental and efficient method for educational analysis and can serve as a basis for further studies using more complex statistical models.
Ukuran Pemusatan dan Penyebaran Data Rifki, Aulia; Rahimah, Siti; Arianto, Arianto; Zulpan, Zulpan
Educational Journal Vol. 1 No. 3 (2026): FEBRUARI-APRIL
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/xh0kfd65

Abstract

Statistics is the science of collecting, processing, presenting, and analyzing data in order to provide meaningful information for decision-making. One of the fundamental concepts in statistics is the measure of central tendency and data dispersion. Measures of central tendency, which include mean, median, and mode, describe the central value of a data set. Meanwhile, measures of dispersion, such as range, variance, and standard deviation, are used to determine how far the data values deviate from the center. This article aims to provide a comprehensive understanding of the concepts, formulas, and applications of measures of central tendency and dispersion in the context of learning statistics. With a proper understanding, students are expected to analyze data more critically, recognize variation within a phenomenon, and connect the analysis results to real-life problems. The discussion in this paper is expected to strengthen students’ analytical skills and provide a solid foundation for studying more advanced statistical methods
Konsep Homogenitas dan Normalitas dalam Statistik serta Teknik Pengujiannya Al Fatih, Fitrah; Putri Lubis, Nabila; Nisah HSB, Khoirun; Zulpan, Zulpan; Arianto, Arianto
Educational Journal Vol. 1 No. 3 (2026): FEBRUARI-APRIL
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/b98bqe88

Abstract

The assumptions of homogeneity and normality are fundamental prerequisites in parametric statistical analyses such as the t-test, ANOVA, and linear regression. Without meeting these assumptions, the results of data analysis may become invalid and lead to biased conclusions. This article aims to provide a comprehensive review of the fundamental concepts of homogeneity and normality, their importance in quantitative research, and various methods used to test them. The discussion covers definitions and the roles of homogeneity and normality in statistical tests, testing methods such as Levene’s Test and Bartlett’s Test for homogeneity, as well as Kolmogorov-Smirnov Test and Shapiro-Wilk Test for normality. The analysis also includes the interpretation of test results and an example of their application to research data. The findings indicate that a solid understanding of these basic statistical assumptions is crucial to ensure the validity and reliability of research outcomes. This article provides both theoretical and practical foundations to help researchers select and apply appropriate testing methods prior to conducting data analysis.  
Co-Authors Ahmad Husein, Ahmad Aini Nurul Akhir Hastinah Al Fatih, Fitrah Angraini, Tuti Angriani Lubis, Rina Arianto Arianto Artha Mahindra Diputera Astina, Pri Aulia Rifki, Aulia Dewi, Isra Hairani Tbn, Reni Hasibuan, Emrinawati Husnul Khotimah Imam Tobroni Lestari, Vina Miftahurrohmah Miftahurrohmah, Miftahurrohmah Nasution, Rabiah Nisah HSB, Khoirun Nur Hidayah Nur Mawaddah, Nur Nurhafifah, Nurhafifah Putri Lubis, Nabila Putri, Riska Aisyah Rahimah, Siti Rudi Hartono Rusli, Ahmad Saidah, Nur Saiful Ridlo Sakhi, Zahra Salsabila Santika, Felia Tri Hariyati Wahyu Syarvina