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All Journal Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Sinkron : Jurnal dan Penelitian Teknik Informatika
Suryani, Melva
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Computer Science & IT Education

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PENERAPAN STRATEGI PEMBELAJARAN AKTIF PLANTED QUESTIONS UNTUK MENINGKATKAN PRESTASI BELAJAR PESERTA DIDIK PADA POKOK BAHASAN KELARUTAN DAN HASIL KALI KELARUTAN DI KELAS XI MIPA SMAN 1 KAMPAR Suryani, Melva; ', Susilawati; Rery, R. Usman
Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Vol 4, No 2 (2017): Wisuda Oktober 2017
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan

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Abstract

Abstract: The research on application of active learning strategy planted questions to improve learning achievement of learners on the subject of solubility and solubility results in class XI MIPA SMAN 1 Kampar on April. Form of research is experimental research with pretest-posttest design. The sample consist of two class, namely class XI MIPA 1 as the experimental class and class XI MIPA 3 as control class which randomly selected after had tested normality and homogeneity. Experimental class is a class that implemented of active learning strategy planted questions while the control class used discussion information methods. Data analysis technique used is the t-test. Based on the results of the final data processing using t-test formula obtained tcount > ttable (4,615 > 1,669) means the application of active learning strategy planted questions can improve student achievement on the subject of solubility and solubility results in class XI MIPA SMAN 1 Kampar, with an increasing percentage of 23,851% .Keywords : Active learning strategy planted questions, Learning Achievement and solubility and solubility.
Identification of Face Mask With YOLOv4 Based on Outdoor Video Harahap, Mawaddah; Kusuma, Leonardo; Suryani, Melva; Situmeang, Candra Ebenezer; Purba, Juniven Francisco
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 1 (2021): Article Research October 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v6i1.11190

Abstract

The use of face masks in the current era is one of the special regulations in many countries including Indonesia to prevent the spread of coronavirus. However, not all people strongly agree to wear masks because they feel uncomfortable to wear even in crowded places require the use of masks such as shopping malls, hospitals, factories, stations and others by checking manually. Therefore, in the study proposed automatic detection of masks with YOLOv4 with the stage of data collection recording community activities in crowded places, labeling images of masks and non masks. The labelling results were conducted in training that resulted in 90.3% accuracy in the 2000 ierasi, the last of which was video testing in three different crowd locations: taxes, city parks and highways. Based on the test results, YOLOv4 can detect masks and non masks on videos with different obstruction conditions such as people wearing helmets, hand obstacles. However, for the detection of people with tissue obstruction conditions and improper position of wearing masks has not resulted in good detection.
Co-Authors ', Susilawati Kusuma, Leonardo Mawaddah Harahap, Mawaddah Purba, Juniven Francisco R. Usman Rery Situmeang, Candra Ebenezer