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All Journal Proceeding International Seminar of Islamic Studies Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia
Anggraini, Dian Sri
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Religion Arts Humanities Astronomy Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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IMPLEMENTATION OF LECTURE AND QUESTION AND METHODS ON THE EFFECTIVENESS OF ISLAMIC EDUCATION LEARNING IN INTEGRATED AL-ULUM ISLAMIC IN MEDAN Febrian, Bintang; Anggraini, Dian Sri; Samin, Nur Mala; Sabila, Sabila; Yunan Harahap, Muhammad
Proceeding International Seminar of Islamic Studies INSIS 6 (February 2024)
Publisher : Proceeding International Seminar of Islamic Studies

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Abstract

This study aims to explain the implementation of lecture and discussion methods in improving the learning outcomes of Islamic Religious Education (PAI) in Al-Ulum Integrated Islamic High School in Medan. The method used is qualitative, with data collection techniques through observation and interviews. Based on the research conducted, the researcher draws the conclusion that the lecture method applied in the learning process is a lecture method interspersed with question-and-answer methods. The discussion method used in this learning process is the small group discussion method. The learning outcomes of students in classes that apply the lecture method, in terms of cognitive aspects, have increased, and in terms of affective aspects, students can accept learning well. The results indicate that the use of lecture and question and answer methods is very necessary in the online learning process. The combination of lecture and question and answer methods needs to be applied to create interaction in the classroom. The implementation of gestures in teaching is very effective in engaging students who are in the concrete operational stage.
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.
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.
Co-Authors Febrian, Bintang Fitriani, Sulia Manurung, Nazwa Salsabila Br Panggabean, Hadi Saputra Sabila, Sabila Samin, Nur Mala Yunan Harahap, Muhammad