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All Journal Jurnal Edukasi Elektro Media Elektrik Jurnal MEKOM (Media Komunikasi Pendidikan Kejuruan) Jurnal MediaTIK International Journal of Environment, Engineering, and Education Journal Zetroem International Journal of Environment, Engineering & Education Jurnal Pendidikan Teknik Sipil (JPTS) Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Masyarakat Indonesia Jurnal Bangun Abdimas Jurnal Pengabdian Masyarakat Bhinneka ENGAGEMENT: Jurnal Pengabdian Masyarakat Pena Dimas: Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal International Journal of Environment, Engineering, and Education Jurnal Literasi Digital
Wahrini, Retyana
Universitas Negeri Makassar
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Journal : Jurnal Edukasi Elektro

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RANCANG BANGUN SMART ASSISTANT LENGAN ROBOT PENGHAPUS PAPAN TULIS Retyana Wahrini; Labusab Labusab; Nuridayanti Nuridayanti
Jurnal Edukasi Elektro Vol 4, No 2 (2020): Jurnal Edukasi Elektro, Volume 4, Nomor 2, 2020
Publisher : JPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v4i2.35188

Abstract

ABSTRACTThe blackboard is one of the facilities that is still widely used in the learning process in Indonesia. This is because most educational methods have not been fully touched by digital technology, especially in remote areas. In deleting the writings on the board, it takes time, even more draining. We need to know that removing the blackboard is an activity that is not liked by students because it must be done repeatedly. To overcome this problem, one solution that can be done is to make an automatic eraser tool. This whiteboard eraser is based on a sound sensor. The working process is through the voice commands given, the Smart Assistant is designed to make it easier for us to delete the writing on the board. The design of the Smart Assistant is more effective where the program uses a sound sensor system with the Voice Recognation method, so that when we want to erase the whiteboard we just have to sound according to the commands we have programmed on the Arduino Software so the whiteboard will be deleted.ABSTRAKPapan tulis merupakan salah satu sarana yang masih banyak digunakan dalam proses pembelajaran di indonesia. Hal ini dikarenakan sebagian besar metode pendidikan belum sepenuhnya tersentuh teknologi digital terkhusus daerah-daerah terpencil. Dalam menghapus tulisan-tulisan di papan tulis membutuhkan waktu terlebih lagi menguras tenaga. Perlu kita ketahui bahwa menghapus papan tulis merupakan aktivitas yang tidak disenangi oleh para siswa karena harus dilakukan berulang-ulang. Mengatasi masalah ini, salah satu solusi yang bisa dilakukan adalah membuat sebuah alat penghapus otomatis. Penghapus papan tulis ini berbasis sensor suara. Penelitian ini menggunakan jenis penelitian RD dengan metode waterfall. Proses kerjanya yaitu melalui perintah suara yang diberikan maka Smart Assistant ini dirancang untuk memudahkan kita dalam menghapus tulisan pada papan tulis. Perancangan Smart Assistant ini lebih efektif dimana program ini menggunakan sistem sensor suara dengan metode Voice Recognation, sehingga saat kita ingin menghapus papan tulis cukup dengan kita bersuara sesuai dengan perintah yang telah kita program pada software arduino dengan begitu papan tulis akan dihapus oleh alat tersebut.
Development of Color-Based Object Follower Robot Using Pixy 2 Camera and Arduino to Support Robotics Practice Learning Retyana Wahrini
Jurnal Edukasi Elektro Vol 7, No 2 (2023): Jurnal Edukasi Elektro, Volume 7, Nomor 2, 2023
Publisher : JPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v7i2.64413

Abstract

The purpose of this study is to find out how robot vision works and the level of media feasibility in the robotic practice course and student responses in the Mechatronics Vocational Education study program. This research is a type of RD research with a 4D development model (Define, Design, Development, and Desiminate). The result of how the vision robot works is where the robot follows objects based on color using the Pixy 2 camera that has been programmed in the PixyMoon application where the way this robot works is to follow the more dominant object. The results of the feasibility level of vision robots as learning media are determined by the results of the validation of media experts and material experts. Based on the results of the validation of media experts, the overall robot vision was declared very feasible with a percentage of 86.7%. Then from the results of material expert validation, it can be seen that overall, the robot vision companion guidebook is included in the very feasible category with a percentage of 87.5%. From the results of the assessment by students, it can be seen that from all aspects of the overall assessment it can be concluded that robot vision is in the very feasible category with a percentage of 90.8%.
Co-Authors Arwadi, Fajar Aulia Sabril Chua Gim Peng Dessy Ana Sari Faisal Najamuddin Faisal Najamuddin Hasbi Hasbi Hasbi Hasbi Labusab Labusab Labusab, Labusab Labusab Makmur, Elfira Mustamin Ninik Rahayu Ashadi Nuridayanti Nuridayanti Nuridayanti, Nuridayanti Nuridayanti, Nuridayanti Nuridayanti Reski Febyanti Rauf Sabara, Edy Sabran F. Harun Suhaeb, Sutarsi