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All Journal Jurnal Kolaboratif Sains Jurnal Ipteks Terapan : research of applied science and education
Elmi Rahmawati
Universitas Putra Indonesia YPTK Padang
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E-LEARNING APPLICATIONS IN ENGLISH SUBJECTS USE THE EXAMPLE NOT EXAMPLE METHOD IN JUNIOR HIGH SCHOOLS Erdisna -; Sri Restu Ningsih; Febriyanno Suryana; Elmi Rahmawati; Revi Gusriva
Jurnal Ipteks Terapan Vol. 17 No. 2 (2023): Jurnal Ipteks Terapan
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22216/jit.v17i2.2381

Abstract

The problem that occurs in junior high school students is that there is no e-learning system in learning English, causing a lack of student interest in learning English material taught by the teacher because of its monotonous presentation and difficulties for students to accept. This study aims to develop an e-learning system for English lessons to help teachers and students follow the learning process and improve students' cognitive abilities. In this study, researchers used the example not example method in teaching English learning in e-learning applications. The method used in designing this website-based e-learning system uses the waterfall method with a system design tool, namely UML. The results of this study are website-based e-learning applications using the example not example method with a more creative learning appearance by adding video and audio features that can improve students' skills in both listening and speaking
Komputasi Terinspirasi Otak: Brain Inspired Computation Elmi Rahmawati; Devi Syukri Azhari; Vivi Puspita Sari
Jurnal Kolaboratif Sains Vol. 6 No. 12: DESEMBER 2023
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v6i12.4412

Abstract

Teknologi komputasi baru yang diinspirasi oleh otak menjanjikan perubahan fundamental dalam cara memproses data. Ini akan meningkatkan efisiensi energi dan memungkinkan kita untuk menangani jumlah data yang terus meningkat yang tidak terstruktur dan berisik yang kita hasilkan. Untuk mewujudkan janji ini, komunitas penelitian yang berbeda harus bekerja sama untuk membuat rencana yang berani dan terkoordinasi, serta mendapatkan dana, fokus, dan dukungan yang diperlukan. Di masa lalu, kami telah melakukan hal ini melalui teknologi digital, dan sekarang kami sedang melakukannya melalui teknologi kuantum. Bisakah kita sekarang melakukannya melalui komputasi yang terinspirasi dari otak
Co-Authors Devi Syukri Azhari Erdisna Revi Gusriva Sri Restu Ningsih Suryana, Febriyanno Vivi Puspita Sari