Guru pembimbing kurang memonitoring siswa yang pelaksanaan prakerin. Penelitian ini bertujuan untuk mengevaluasi tujuan suatu program pada pelaksanaan praktik kerja industri jurusan teknik otomotif di sekolah menengah kejuruan. Jenis penelitian yaitu evaluasi dengan model goal oriented. Metode yang digunakan adalah metode kombinasi (mixed method). Data kuantitatif dikumpulkan melalui angket dengan responden 35 orang yang terdiri dari 15 orang guru pembimbing dan 20 orang instruktur DU/DI, sedangkan data kualitatif dikumpulkan melalui wawancara. Hasil penelitian menyimpulkan bahwa komponen pelaksanaan prakerin ditinjau dari subkomponen tujuan program kategori baik. Subkomponen perilaku secara keseluruhan diperoleh penilaian dengan kategori baik. Subkomponen pencapaian tujuan secara keseluruhan diperoleh penilaian dengan kategori sangat baik. Subkomponen kinerja siswa secara keseluruhan diperoleh penilaian dengan kategori sangat baik. Dengan demikian dapat disimpulkan bahwa pelaksanaan praktik kerja industri jurusan teknik otomotif di sekolah menengah kejuruan sudah berada pada kategori sangat baik.
This study aims to determine the effect of online learning on the employability skills of students of the Faculty of Engineering, State University of Gorontalo. The method used in this study is a quantitative correlational method. Correlation research is research that aims to determine whether there is a relationship between two or more variables. In this study, data processing was carried out using SPSS version 25.0. The sample of this research was 177 students from class of 2017, Faculty of Engineering, State University of Gorontalo. Research data collection techniques using a questionnaire. Analysis prerequisite tests include normality tests, linearity tests, and multicollinearity tests. Hypothesis testing includes simple regression analysis. The results of the study show: There is a significant effect of online learning on the employability skills of students of the Faculty of Engineering, State University of Gorontalo by 2.8%.
To overcome the long-term impact of stroke attacks on society, stroke rehabilitation is the only solution WHO and many healthcare organizations suggested. Until recently, stroke rehabilitation monitoring has been done using visual observation, which has several drawbacks. EEG is a new approach to understanding how the central nervous system controls motion. This study compares the motion pattern done by a group of 12 healthy subjects and nine stroke patients during the rehabilitation motion tasks using the OpenBCI system. Time-frequency domain features, namely PSD, MAV, and STD are used to explore how the patterns differ. Three rehabilitation motions are implemented: grasping, elbow flexion extension, and shoulder flexion-extension. The result shows that the healthy cross-brain correlation happens in healthy subjects. This means that when the left-side arm does the motion, the EEG feature values from the right hemisphere are higher, and vice versa. However, this healthy cross-brain correlation pattern did not happen within the stroke patient group. The overall value of PSD, MAV, and STD from both hemispheres during all motions is higher in the healthy group than in stroke patients. The type of motion also contributes to describing the time-frequency domain feature comparison. In conclusion, this gap value using time-frequency domain features can be used as a target for stroke rehabilitation programs by implementing the EEG technology to monitor it.
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