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All Journal Knowledge Engineering and Data Science Physics Education Research Journal
Agus Sudarmanto
Universitas Islam Negeri Walisongo Semarang
Computer Science & IT Education Engineering Physics

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Pengaruh Metode Eksperimen Terhadap Motivasi dan Hasil Belajar Siswa Kelas X pada Materi Gerak Lurus Millati Azka; Agus Sudarmanto; Hesti Khuzaimah Nurul Yusufiyah
Physics Education Research Journal Vol 2, No 1 (2020)
Publisher : Faculty of Science and Education, UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/perj.2020.2.1.3948

Abstract

This study aims to examine the effect of experimental method on student learning motivation and student learning outcomes on rectilinear motion material in grade X at MAN Kendal. This is a quantitative research with a sample of 34 students of class X MIPA 4 as an experimental group and 32 students of class X MIPA 2 as a control group. Data collection techniques using test, questionare, observation, interview, and documentation. The experimental class is given learning using experimental methods and control classes using conventional methods. The hypothesis was tested using t test and simple linear regression. The results of hypothesis test show that learning motivation of the experimental class students is higher than the control class and learning outcomes of the experimental class are better than the control class. Based on the results of data analysis, it was concluded that there was a correlation between the experimental method of student motivation and learning outcomes.
EEG Classification while Listening to Murottal Al-Quran and Classical Music using Random Forest Method Heni Sumarti; Fahira Septiani; Agus Sudarmanto; Wahyu Caesarendra; Rizki Edmi Edison
Knowledge Engineering and Data Science Vol 6, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v6i22023p157-169

Abstract

This study is aimed to classify the brain activity of adolescents associated with audio stimuli; murottal Al-Quran and classical music.  The raw data were filtered using Independent Component Analisys (ICA) and followed by band-pass filter in Python on the Google Colab Extraction was processed with Power Spectral Density (PSD) and the Random Forest Method in Weka Machine Learning was used for classification.  The research results showed the same results between the two types of stimulation, namely the order of brain waves from highest to lowest were delta, alpha, theta and beta. The average brain waves of teenagers when given murottal al-Quran stimulation were 45.32% delta, 31.60% alpha, 17.02 theta and 6.05% beta. Meanwhile, the average brain waves of teenagers when given classical music stimulation were 46.54% delta, 28.64% alpha, 19.21% theta and 5.50% beta. Classification is obtained with the best value that frequently appears (mode) from the prediction results for each sample using random forest methods. The accuracy, precision, and recall of classifying adolescent brain waves when given murottal and classical music stimuli using the Random Forest method with cross-validation technique (optimum at k-fold=5) were 65.38%, 76.92%, and 70.00%, respectively.  The results of this study show that stimulation using murottal al-Quran and classical music effectively improves adolescent relaxation conditions.
Co-Authors Fahira Septiani Heni Sumarti Hesti Khuzaimah Nurul Yusufiyah Millati Azka Rizki Edmi Edison Wahyu Caesarendra