Claim Missing Document
Check
Articles

Statistika Non- Parametrik Mulyani, Ika Dini; Ismy, Nurul; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6752

Abstract

Non-parametric statistics is an essential tool in data analysis, particularly when the assumption of normal distribution cannot be met. This method offers a flexible approach applicable to various types of data, including ordinal and nominal data. This article explores the fundamental principles, methodologies, and challenges of using non-parametric statistics, highlighting advantages such as more lenient assumptions and ease of calculation. Despite its limitations, especially regarding the testing of parametric assumptions and large sample sizes, non-parametric statistics remain a relevant choice. Guidelines for the use of one-sample, two-sample, and more than two-sample tests are presented, along with practical examples such as the binomial test, chi-square test, and Wilcoxon test. With a deep understanding of this method, researchers and practitioners are expected to make better decisions based on valid and reliable data analyses.
Konsep Statistika Inferensial, Hipotesis dan Pengujian Hipotesis, Taraf Signifikansi Fitriani, Sulia; Manurung, Nazwa Salsabila Br; Anggraini, Dian Sri; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6786

Abstract

Inferential statistics enables drawing conclusions about a population from sample data. Hypothesis testing involves formulating a null hypothesis (H₀) and an alternative hypothesis (H₁). A p-value indicates the probability of obtaining results at least as extreme as those observed, assuming H₀ is true. If the p-value is less than the predetermined significance level (α), commonly set at 0.05, H₀ is rejected in favor of H₁, suggesting statistical significance. Tests can be one-tailed or two-tailed, depending on the research question's directionality. Type I errors (false positives) and Type II errors (false negatives) are risks in hypothesis testing. Controlling these errors involves careful selection of α and consideration of the test's power, which is the probability of correctly rejecting a false null hypothesis. In studies involving multiple comparisons, adjustments such as the Bonferroni correction and the Holm–Bonferroni method are employed to control the family-wise error rate, thereby reducing the likelihood of Type I errors across multiple tests. These techniques adjust the significance thresholds to maintain the overall error rate within acceptable bounds.
Ukuran Letak Puspita, Laila Dwi; Putri, Saskia Amanda; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6766

Abstract

This study aims to examine the concept and application of measures of position in educational statistics. Measures of position include quartiles, deciles, and percentiles, which are used to determine the relative position of a value within a data distribution. The research methodology employed is a literature review by analyzing various relevant sources, including educational statistics textbooks and scientific articles. The results of the discussion indicate that measures of position are essential in analyzing students' academic achievement, as they provide a detailed picture of data distribution. The main issue addressed in this study is the lack of students’ understanding regarding the application of measures of position in educational contexts. The data analyzed were derived from literature studies and examples of how measures of position are applied in analyzing students' exam scores. The conclusion of this study is that understanding measures of position can help educators and researchers assess individual achievements within a group more fairly and accurately.
Analisis Kolerasi dan Analisis Regresi Andrian, M; Fadilah G S, Mila; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6787

Abstract

This study examines the essential statistical methods of correlation analysisand regression analysis, as highlighted in seminal literature indexed in Scopus. Correlation quantifies the strength and direction of linear relationships between continuous variables, typically expressed via Pearson’s r (ranging from –1 to +1) Regression analysis further extends this relationship into a predictive model through the least squares method, resulting in an equation of the form Y = mX + b, where m is the slope and b is the intercept . We emphasize the importance of verifying data assumptions (e.g., linearity, normality, homoscedasticity) before application . The synergy between correlation and regression offers both relational insight and predictive capability, demonstrating wide utility across fields such as biostatistics, social sciences, economics, and engineering
Ukuran Pemusatan Data Siregar, Siti Aisyah; Zahrach, Eca May; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6864

Abstract

Calculating research results, especially in the social sciences, is not easy. This is because findings in the social sciences do not always show a direct impact on the treatment being studied, unlike other scientific research. For example, in studying the effect of experimental methods on student insight, a qualitative approach is often used to analyze the results. In this article, we provide an example of research that analyzes the mean, median, and mode values. The analysis was carried out manually by relying on the mathematical skills of experts. However, to obtain broader and more valid results in social science research, we recommend the use of computational software such as SPSS and Microsoft Excel. In conclusion, research in the social sciences has a higher level of complexity, and to process and draw conclusions from the data, researchers are advised to utilize various data analysis applications.
Analisis Varians dan Uji Signifikansi F Aghna, Hannah; Ramadhani, Mutia; Hidayah, Naillah; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6783

Abstract

This study discusses the use of Analysis of Variance (ANOVA) and the F-test for significance, which are statistical methods designed to test significant differences between the means of three or more groups. ANOVA works by comparing variability between groups, using the F-test to support the process based on the F-distribution to assess the significance of the observed differences. This article provides a comprehensive discussion of the fundamental concepts of analysis of variance, the steps involved in conducting the F-test, and the statistical interpretation of the test results. The explanation is presented in a systematic and easy-to-understand approach, making it helpful for researchers or students in understanding and applying ANOVA in the context of quantitative research. By understanding analysis of variance and the F-test for significance, researchers can draw valid conclusions based on data and improve the quality of evidence-based decision-making.
Penyajian Data Dalam Bentuk Diagram dan Tabel Hanifah, Ummu; Fakhira, Dhea; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6755

Abstract

Effective data presentation is an important element in statistical analysis, especially in education and research. This article discusses the importance of effective data presentation through diagrams and tables in statistical analysis, particularly in education and research. By using diagrams, such as bar and pie charts, complex information can be visualized in an attractive way, making it easier to understand trends and comparisons between categories. Meanwhile, tables provide an organized structure for presenting numbers and categories, which is very useful for the analysis and comparison of numerical data. This research uses the literature study method to collect and analyze information from various academic sources, showing that the selection of appropriate presentation methods can enhance readers' understanding and strengthen the credibility of information.
Bentuk Distribusi Frekuensi Yumna, Najlaa Ghassani; Muliani, Sri Indah; Panggabean, Hadi Saputra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 2 (2025): July 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i2.6760

Abstract

Data statistik yang sering dikumpulkan atau sengaja dikumpulkan oleh individu atau lembaga penelitian biasanya dari berbagai jenis data dan seringkali tidak berarti. Bagi analisis sebelum data disajikan atau dibagi menjadi kelompok atau format lain. Format presentasi data yang dapat memberikan informasi yang berguna adalah distribusi frekuensi. Distribusi frekuensi ini memudahkan orang untuk mengenali bagaimana data dikumpulkan dalam kelompok dan bagaimana mendapatkan model data populasi. Pengetahuan model populasi sangat berguna jika seseorang ingin melakukan analisis statistik. Distribusi frekuensi adalah daftar nilai data dengan nilai frekuensi yang sesuai (yang dapat berupa nilai individu atau nilai data yang dikelompokkan ke dalam interval tertentu). Pengukuran yang diterima disebut data mentah.Jumlah pengukuran yang biasanya Anda terima biasanya akan bervariasi. Dengan perhatian pada data mentah, sangat sulit untuk menarik kesimpulan yang bermakna. Data mentah harus diproses terlebih dahulu sehingga Anda dapat memperoleh gambar data yang sesuai. Dalam artikel ini, dijelaskan dengan memahami distribusi frekuensi. Ini melibatkan contoh dan teknik untuk menghasilkan frekuensi distribusi.
Berbagai Jenis Pengorganisasian Kurikulum Laksana, Indra; Ariga, Iswanto; Retno, Suci Ananda; Hariani, Hariani; Panggabean, Hadi Saputra
Riwayat: Educational Journal of History and Humanities Vol 8, No 3 (2025): July
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i3.47184

Abstract

Pengorganisasian pada kurikulum merupakan sebuah bentuk penyususnan bahan ajar yang akan diberikan kepada peserta didik. Pengorganisasian ini juga merupakan sebuah cara untuk mempermudah ketercapaian dalam proses belajar mengajar sehingga tujuan pembelajaran dapat tercapai secara efektif dan efisien. Tulisan ini bertujuan untuk mengulas berbagai jenis pengorganisasian kurikulum yang dikembangkan oleh para ahli pendidikan serta menganalisis faktor-faktor yang mempengaruhi pengorganisasian pada kurikulum. Studi ini menggunakan pendekatan kualitatif-deskriptif dengan metode studi pustaka. Hasil telaah menunjukkan bahwa terdapat beberapa jenis pengorganisasian kurikulum, seperti kurikulum mata pelajaran, kurikulum terhubung, kurikulum luas, kurikulum terpadu dan kurikulum inti. Pemilihan jenis pengorganisasian kurikulum yang tepat harus mempertimbangkan berbagai macam faktor, diantaranya tujuan pendidikan, karakteristik peserta didik, kondisi sekolah serta konteks sosial dan budaya.
Multimedia-Based Islamic Education Learning Patterns at SMK Muhammadiyah 8 Medan Rizky, Nanda; Panggabean, Hadi Saputra; Tumiran, Tumiran
Riwayat: Educational Journal of History and Humanities Vol 8, No 4 (2025): October
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i4.49653

Abstract

Along with the rapid development of information technology, the use of multimedia in the learning process is expected to improve the effectiveness and interactivity of delivering Islamic Religious Education (PAI) materials. This study aims to analyze the learning patterns of multimedia-based Islamic Religious Education at SMK Muhammadiyah 8 Medan. The research employed a qualitative approach with a case study design, involving teachers and students as the research subjects. Data were collected through in-depth interviews, direct observation, and relevant documentation, and were analyzed using descriptive analysis techniques to provide a detailed description of multimedia application in PAI learning. The findings indicate that the use of multimedia in PAI learning not only enhances students' understanding of the material but also creates a more engaging and interactive learning atmosphere, in line with the needs of the digital generation. Furthermore, the role of the teacher as a facilitator becomes increasingly crucial in guiding students so that multimedia utilization remains oriented toward achieving learning objectives. This study implies that the integration of multimedia technology can serve as an effective strategy to improve the quality of PAI learning in vocational high schools
Co-Authors Abdurrasyid Abdurrasyid Abdurrasyid Aburrasyid, Aburrasyid Aghna, Hannah Ahmad Aswan Waruwu Ahmad Fuad Al ‘Auni, Khofifah Alaska, Yogi Alfi, M Yus Alifatin, Suci Ririn Almanah Rambe Andrian, M Anggraini, Dian Sri Anisah Fitri, Ayu Annisa Febrianti Anwar, Nafiza Fadia Aqila, Nazwa Ariga, Iswanto Artasyah Nst, Muhammad Hafiz Aulia Lubis, Muhammad Musyaffa Auni, Khofifah Al Azman, Muhammad Khairul Berutu, Syafura Atika Majidah R Bunga Zahira S, Annisa Candra Wijaya Chintya Sonia Danny Abrianto Daulay, Ronna Sari Diniyah, Cantika Alfa Efsha, Aprilila Elfidayanti Elfidayanti Elfidayanti Elfidayanti Elsya Fitri Ependi, Rustam Fadilah G S, Mila Fadli Fadli Fakhira, Dhea Firmansyah, Aziz Fitriani, Sulia Ginting, Aisyah Mutiara Ramadhani Gs, Mila Fadilah Harahap, Muhammad Ridho Hariani Hariani, Hariani Hasibuan, Muhammad Basir Hasibuan, Nuri Syamsika Hasibuan, Sopiah Heri Maulana Hidayah, Nailla Hidayah, Naillah Indra Laksana Ira Mutiara Dewi Ismail Mukhtar Nasution Ismaraidha Ismy, Nurul Iswanto Ariga Jauhari, Ibnu Jarot Kamil Lestari, Ridhayani Lubis, Eva Susanti Lubis, Sakban Maksum, Mulia Manshuruddin Manshuruddin Manurung, Nazwa Salsabila Br Manurung, Nazwa Salsabilaahra Muhammad Andrian, Muhammad Muhammad Daud Muliani, Sri Indah Mulyani, Ika Dini Mutiara, Aisyah Nabila, Ade Nasution, Hasan Bakti Nida Ul Hasanah Nofianti, Rita Nuraini Nuraini Nurul Husna Oktarini, Limayasa Ayu Pratama, M. Rizky Prihartini Prihartini Puspita, Laila Dwi Putri Dalimunthe, Kurnia Dwika Putri Handayani Putri Widia Astuti Putri, Saskia Amanda Rahmah, Rizkiya Ramadani, M Wahyu Ramadhani, Mutia Rambe, Almanah Raudhah, Raudhah Retno, Suci Ananda Richki, Fahri Rita Nofianti Rita Novianti Rizky, Nanda Sabilla Rahma Syari Sabiru, Tri Saffana Ulfia Saing, Marnang Salsabila, Alya Sanjaya, Bagus Septianingsih Siagian, Ahmad Fauzan Simarmata, Januari Siregar, Iza Meri Siregar, Meldyana Priadina Siregar, Siti Aisyah Siti Aisyah Siti Fatimah Siti Jubaidah, Siti Sri Devi Hardiyanti Subayu, Dimas Suciani, Anggun Syahputri, Nadia Tambunan, Nurhalima Tambunan, Nurhalima Tambunan, Nurhalimah Tumiran Tumiran Tumiran Umat, Hardakwah Ummu Hanifah, Ummu Usiono Usiono Waruwu, Ahmad Aswan Yansyah, Robby Yumna, Najlaa Ghassani Yunan Harahap, Muhammad YUNUS Yusranida Hidayati Zahrach, Eca May