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All Journal JURNAL DIVERSITA Edukasi Islami: Jurnal Pendidikan Islam Al-Muaddib : Jurnal Ilmu-Ilmu Sosial & Keislaman PeTeKa Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Pendidikan dan Konseling MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial CERMIN: Jurnal Penelitian Hikmah Ihsan: Jurnal Pengabdian Masyarakat Jurnal Ilmiah Al-Hadi Jurnal Kewarganegaraan Maslahah: Jurnal Pengabdian Masyarakat Proceeding International Seminar of Islamic Studies Educate: Jurnal Ilmu Pendidikan dan Pengajaran Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Journal of Language Education Pedagogika: Jurnal Ilmu-Ilmu Kependidikan Indonesian Research Journal on Education Islamic Education Innovative: Journal Of Social Science Research Education & Learning Journal of Social Knowledge Education (JSKE) JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Riwayat: Educational Journal of History and Humanities Journal of Humanities Education Management Accounting and Transportation Multidisciplinary Indonesian Center Journal Jurnal Keislaman
Hadi Saputra Panggabean
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Physics Public Health Social Sciences Transportation Other

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Steps in Implementing the Evaluation of Islamic Religious Education (PAI) Learning Abdurrasyid, Abdurrasyid; Panggabean, Hadi Saputra
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 9, No 4 (2024): November, I Special Issue on "Educational design research for human beings learn
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v9i4.33091

Abstract

Learning evaluation of Islamic Religious Education (PAI) is an important step to measure the effectiveness of the teaching and learning process. This study aims to identify the steps that need to be taken in conducting Islamic Education learning evaluation. Through literature review and data analysis, this study concludes that evaluation steps include planning, implementation, and follow-up. Planning includes determining objectives, selecting instruments, and scheduling the evaluation. Implementation includes collecting data through various techniques, such as written tests, observations, and interviews. Follow-up includes data analysis, interpretation of results, and preparation of recommendations for learning improvement.
The Role of Parents in Internalizing Islamic Religious Values and Instilling Noble Character (Akhlaq Al-Karimah) in Children In Minority Areas of Lau Gumba Village, Brastagi District, Karo Regency Panggabean, Hadi Saputra; Tumiran, Tumiran; Nofianti, Rita; Umat, Hardakwah
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 9, No 4 (2024): November, I Special Issue on "Educational design research for human beings learn
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v9i4.33016

Abstract

The inculcation of Islamic religious values, particularly concerning noble character (Akhlaq al-Karimah), in children is essential. This effort requires the involvement of various elements, not solely relying on formal educational institutions. It becomes more effective when families and communities are actively engaged. The family environment, often referred to as the first and foremost setting for a child's education, plays a critical role. In fostering values of goodness and virtue, parents are encouraged to communicate closely with their children. Parents should ideally serve as role models in all aspects of life for their children. Beyond their role as leaders, parents are primary educators within the household. Ideally, parents should guide, educate, train, teach, and exemplify behaviors that shape their children's character and support their learning activities. In the specific context of Lau Gumba Village, where Muslims are a minority, children are particularly vulnerable to the influences of non-Muslim peers. Additionally, the community's socio-economic conditions and the educational background of parents contribute to varied parenting styles. Some families provide significant attention to their children, while others tend to neglect the importance of family education, placing full responsibility on schools. Consequently, many children exhibit weak religious values. In this village, some children neglect their five daily prayers, fail to fast during Ramadan, consume alcoholic beverages (tuak), smoke, and adopt negative behaviors influenced by their environment's traditions
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.
Uji Signifikansi Distribusi T Sabiru, Tri; Al ‘Auni, Khofifah; 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.v4i2.6756

Abstract

The t-Student distribution is an important tool in statistical analysis, especially for hypothesis testing and determining confidence intervals on small samples. Introduced by William Sealy Gosset, this distribution excels at accommodating greater uncertainty than the normal distribution, making it ideal when the population standard deviation is unknown. This research uses the literature study method to explore the characteristics of the t distribution and its applications in various fields, including psychology, medical, and education. The t-test procedure involves setting the hypothesis, calculating the t value, and determining the critical value, which helps the researcher in making statistical decisions. The t-test results provide significant insights into the differences between groups and relevance in designing more effective teaching strategies. Further research is needed to explore the potential of the t distribution in wider applications and develop more innovative methods of analysis.
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.
Uji Signifikansi Distribusi T Sabiru, Tri; Al ‘Auni, Khofifah; 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.v4i2.6756

Abstract

The t-Student distribution is an important tool in statistical analysis, especially for hypothesis testing and determining confidence intervals on small samples. Introduced by William Sealy Gosset, this distribution excels at accommodating greater uncertainty than the normal distribution, making it ideal when the population standard deviation is unknown. This research uses the literature study method to explore the characteristics of the t distribution and its applications in various fields, including psychology, medical, and education. The t-test procedure involves setting the hypothesis, calculating the t value, and determining the critical value, which helps the researcher in making statistical decisions. The t-test results provide significant insights into the differences between groups and relevance in designing more effective teaching strategies. Further research is needed to explore the potential of the t distribution in wider applications and develop more innovative methods of analysis.
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