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All Journal Jurnal Basicedu Jurnal Basicedu Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Education Sciences (Edusci)
Ramadhanti, Ramadhanti
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Computer Science & IT Education Mathematics Social Sciences

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Strategi Guru dalam Mengatasi Perilaku Bullying Siswa di Sekolah Dasar Ramadhanti, Ramadhanti; Hidayat, Muhamad Taufik
Jurnal Basicedu Vol. 6 No. 3 (2022)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/basicedu.v6i3.2892

Abstract

Penelitian ini dilatarbelakangi dengan intens nya kasus bullying yang terjadi di Indonesia khusunya di dunia pendidikan. Indonesia menjadi Negara terbanyak ke lima dari 78 negara dalam kasus bullying. Metode yang peneliti gunakan adalah deskriptif kualitatif dengan desain studi kasus. Teknik yang digunakan dalam penelitian ini adalah observasi dan wawancara. Data dianalisis dengan reduksi data, penyajian data, dan penarikan kesimpulan. Teknik penilaian untuk mengecek keabsahan data adalah triangulasi teknis, triangulasi sumber, dan member check. Hasil penelitian ini menunjukkan bahwa (1). Bentuk fisik dari perilaku bullying antara lain memegang bahu teman, memukul dan menginjak kaki. Sedangkan bullying verbal adalah dengan cara memanggil dengan nama panggilan atau gelar, meminjam dengan paksa, memanggil nama orang tua (2) Penyebab perilaku bullying adalah terbesar adalah dari faktor keluarga, selain itu penyebab lainnya adalah pengaruh media, berupa tayangan televisi dan handphone yang menayangkan adegan kekerasan yang tidak baik untuk anak (3) strategi guru dalam menghadapi perilaku bullying adalah melakukan intervensi antar siswa yang terlibat kasus bullying, mengambil air wudhu, meminta penjelasan dari kedua belah pihak, meminta pelaku menyadari kesalahannya dan meminta maaf
Strategi Guru dalam Mengatasi Perilaku Bullying Siswa di Sekolah Dasar Ramadhanti, Ramadhanti; Hidayat, Muhamad Taufik
Jurnal Basicedu Vol. 6 No. 3 (2022)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/basicedu.v6i3.2892

Abstract

Penelitian ini dilatarbelakangi dengan intens nya kasus bullying yang terjadi di Indonesia khusunya di dunia pendidikan. Indonesia menjadi Negara terbanyak ke lima dari 78 negara dalam kasus bullying. Metode yang peneliti gunakan adalah deskriptif kualitatif dengan desain studi kasus. Teknik yang digunakan dalam penelitian ini adalah observasi dan wawancara. Data dianalisis dengan reduksi data, penyajian data, dan penarikan kesimpulan. Teknik penilaian untuk mengecek keabsahan data adalah triangulasi teknis, triangulasi sumber, dan member check. Hasil penelitian ini menunjukkan bahwa (1). Bentuk fisik dari perilaku bullying antara lain memegang bahu teman, memukul dan menginjak kaki. Sedangkan bullying verbal adalah dengan cara memanggil dengan nama panggilan atau gelar, meminjam dengan paksa, memanggil nama orang tua (2) Penyebab perilaku bullying adalah terbesar adalah dari faktor keluarga, selain itu penyebab lainnya adalah pengaruh media, berupa tayangan televisi dan handphone yang menayangkan adegan kekerasan yang tidak baik untuk anak (3) strategi guru dalam menghadapi perilaku bullying adalah melakukan intervensi antar siswa yang terlibat kasus bullying, mengambil air wudhu, meminta penjelasan dari kedua belah pihak, meminta pelaku menyadari kesalahannya dan meminta maaf
Application of e-Leaflet-Assisted Jigsaw-Type Cooperative Learning Model to Improve Communication Skills of Class X Students on Ecosystem Materials Ramadhanti, Ramadhanti; Maknun, Djohar; Ekanara, Bambang; Subagyo, Subagyo
Jurnal Edusci Vol 2 No 6 (2025): Vol 2 No 6 July 2025
Publisher : Annpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/edusci.v2i6.790

Abstract

Background. To maximize both, a learning model is needed that can combine them, such as the Jigsaw learning model. Aims. The objectives of this research are to: (1) identify the application of Jigsaw learning model assisted by e-Leaflet to communication skills; (2) analyze the differences in communication skills in students who use e-leaflet assisted learning model and those who use Leaflet assisted learning model; (3) analyze student responses during the implementation of Jigsaw learning model assisted by e-Leaflet. Methods. This study used a quasi-experimental method with a Nonrandomized Control Group Pretest-Posttest Design involving two classes at SMAN 1 Dukupuntang. The sample was selected through purposive sampling. Data collection was done through observation, e-Leaflet product assessment, communication skills test, questionnaire, and interview. Result. The results showed that: (1) the activity of students in the experimental class was excellent, and their communication skills were higher than those in the control class; (2) based on the analysis of test scores, there was a significant difference in students' communication skills; and (3) students' responses to the Jigsaw learning model assisted by e-Leaflet were high in terms of the effectiveness of e-Leaflet, involvement in the Jigsaw model and communication skills. Conclusion. This study confirms that the Jigsaw learning model, assisted by e-Leaflet, can improve students' activity and communication skills, although its application still presents obstacles. Implementation. The application of the Jigsaw model requires more attention to student characteristics and the provision of adequate facilities and technology to ensure the learning process runs optimally
Electric Vehicle Sales-Prediction Application Using Backpropagation Algorithm Based on Web Ramadhanti, Ramadhanti; Hairani, Hairani; Innuddin, Muhammad
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 2 No. 2 (2023): September 2023
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v2i2.3388

Abstract

The accuracy of predicting future product sales is needed to minimize losses and gain profits. Inventory of goods carried out manually or improper product inventory planning causes the number of goods to accumulate due to the small number of requests, so the goods are damaged. Therefore, a sales prediction system with high accuracy is needed to assist in stocking electric vehicles. This research aimed to predict electric vehicle sales using the web-based backpropagation method. This study uses the backpropagation method to predict electric vehicle sales data from 2015 to 2022. The data is divided into 84 instances as training data and 12 instances as testing data. The result of this study was that the backpropagation method obtained a MAPE error rate of 6.25%. Thus, the backpropagation method can be used for predicting electric vehicle sales because it has a very accurate performance level.
Co-Authors Bambang Ekanara Djohar Maknun Hairani Hairani Muhamad Taufik Hidayat Muhammad Innuddin Subagyo Subagyo