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Penerapan Algoritma $Q Super Quick Recognizer Untuk Pengenalan Angka Muhammad Yudha Setiawan; Yohannes Yohannes; Yoannita Yoannita
MDP Student Conference Vol 2 No 1 (2023): The 2nd MDP Student Conference 2023
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.398 KB) | DOI: 10.35957/mdp-sc.v2i1.4370

Abstract

Materi pembelajaran pada umumnya dituliskan pada papan tulis di depan kelas sebagai media pembelajaran, namun dengan menggunakan pen tablet sebagai alat bantu dalam pembelajaran layaknya menggunakan pena dan kertas dapat dilakukan lebih mudah dan menarik. Bagaimana tulisan angka anak-anak itu bisa dikenali yaitu menggunakan algoritma pengenalan gestur untuk mendeteksi apakah benar angka yang ditulis oleh anak-anak itu benar. Algoritma $Q Super Quick Recognizer dapat mengenal gerakan 2D yang dirancang untuk pembuatan prototipe cepat antarmuka pengguna berbasis Gerakan. Pada penelitian ini menggunakan algoritma $Q Super Quick Recognizer pada game pengenalan angka. Dengan tingkat rata-rata akurasi sebesar 99.50% , precision sebesar 97.56% dan Recall 95.50%.
Pelatihan aplikasi screen recorder dan video conference guna meningkatkan proses belajar mengajar Triana Elizabeth; Dicky Pratama; Derry Alamsyah; Yoannita Yoannita; Inayatullah Inayatullah; Tinaliah Tinaliah
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 2 No 1 (2021): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v2i1.3495

Abstract

At the beginning of 2020, Indonesia faced the Covid-19 virus pandemic. As a result, changes occurred in all sectors, including the education sector. The change in the learning model from offline to online makes it difficult for Indonesian because they are not accustomed to using digital technology in the learning process. Therefore, this service activity aims to train 10 Dewi Sartika Palembang Kindergarten teachers using video conferencing applications (Google Meet) and screen recorders (AZ Screen Recorder) to support a more optimal learning process. This activity is carried out by implementing health protocols. Based on the results of the evaluation of the training activities, it was obtained that all teachers were able to use the Google Meet and AZ Screen Recorder applications and were able to make learning videos and use them in the learning process. However, many students cannot participate in the online learning process because of poor internet signals. This problem can be overcome by sending a video recording of the learning process.
Implementasi Virtual Reality pada Game Edukasi Protokol Kesehatan Gerry Jeven Timoti; Yohannes Yohannes; Yoannita Yoannita
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 1 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i1.4065

Abstract

In the year of 2020 until now has been a tough year for almost all industries and the general public due to the coronavirus pandemic. However, the increase in cases per day illustrates that the community has not complied with health protocols optimally. The impact of the pandemic has increased gamers in Asia by more than 75%. With a positive impact on society, the role of games can be used as a medium for education. Virtual Reality will be implemented in the health protocol educational game to see the good role of virtual reality in educational game interactions. The implementation of Virtual Reality in the health protocol educational game is carried out using the GDLC (Game Development Life Cycle) approach with stages starting from initiation, pre-production, production, testing, and release. The results of the recapitulation of the questionnaire on the acceptance and satisfaction of the health protocol educational game application showed the results of 44,9.% strongly agree, 44,9% agree, 9,15% are neutral and 1% are not agree that the application has functioned well and can be selected as one of the learning media especially about health protocol to reduce the growth rate of people infected with the coronavirus.
Implementasi Algoritma $P Point Cloud Recognizer pada Pengenalan Angka Berbasis Game Muhammad Farid Athar; Yohannes Yohannes; Yoannita Yoannita
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 3 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i3.5472

Abstract

More devices use gestures as their input method. Recognizing these gestures becomes more important for app development. One of the methods used for gesture recognition is Point Cloud Recognizer or $P. Gesture recognition can be used to recognize written characters like numbers or letters. Result of this recognition can be used for education involving apps, like games. This study is done by implementing $P in games to show that $P can be used as one of the methods for gesture recognition when developing games that need such features. In this study $P is implemented with the help of the game engine Unity with C# programming language. 3 sets of numerals 1 to 10 are used as data with $P configured to use 32 points. Total of 100 tests are done in the game resulting in 99% accuracy, showing $P is able to recognize the gesture well.