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All Journal Jurnal Teknologi Informasi dan Pendidikan
Andriyan Widiyanto
Universitas Amikom Purwokerto
Computer Science & IT Control & Systems Engineering Education Engineering

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Multimedia Elements in the Motion Tracking Effect of Taekwondo Martial Arts Learning Media Aulia Hamdi; Andriyan Widiyanto; Luky Rafi Anuggilarso; Anugerah Bagus Wijaya
Jurnal Teknologi Informasi dan Pendidikan Vol 15 No 2 (2022): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v15i2.542

Abstract

Taekwondo is a modern martial art originating from traditional Korean martial arts. That is the art or type of self-discipline or Pencak silat that uses bare hands and feet. The basics of taekwondo consist of offensive and defensive movement techniques that use the body to confront the enemy. Taekwondo focuses more on kicks than punches. Kicking techniques are generally more complex than the hands, but kicking techniques are the main because their strength is greater than the strength of the hand. With proper and correct training methods, the quality of kicks can be significantly improved. In taekwondo, it is not just a means of self-defense. With the development of today's technology, it may be more effective to provide taekwondo training materials. Video media has the advantage of being easy to learn. Watching videos to learn movement techniques does not have to be during practice. It can be done anywhere. In addition, you can play the video repeatedly and slow down to see the train technology. From the opinion of experts, it can be concluded that the media is a sub tool used to convey information to students as recipients of information designed to increase student interest in learning. In the research and development carried out, Taekwondo training is packaged in VCD format as a medium to be displayed via an LCD projector during learning.
Komparasi Algoritma Machine Laearning untuk Klasifikasi Indeks Ultraviolet Alfin Syarifuddin Syahab; Andriyan Widiyanto; Luky Rafi Anuggilarso; Anugerah Bagus Wijaya
Jurnal Teknologi Informasi dan Pendidikan Vol 15 No 2 (2022): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v15i2.692

Abstract

Indonesia is a tropical climate country which has the potential for high intensity of sunlight exposure. Several types of exposure that receives are ultraviolet rays. According to the National Agency for Meteorology, Climatology and Geophysics, it provides information regarding the impact on human activities in an ultraviolet index which has a risk scale. The aim of this research was creating a recommender system based on the ultraviolet index category in providing daily activity advice to users. The methods used the K-nearest Neighbor algorithm and Support Vector Machine with a Collaborative Filtering Model-Based approach that could recommend items based on the results of a model trained to identify input data patterns. The stages carried out in this study included data collection, data pre-processing, data division into test data and train data, dataset testing, analysis of the results of models that had been trained in the accuracy values using the algorithm tested. The results of the confusion matrix calculation produced test evaluations in accuracy values, precision values, and recall values. The comparison of result had the highest performance in K-nearest Neighbor with an accuracy value of 99.69%, a precision value of 99.00%, and a recall value of 96.20%. In research used the Support Vector Machine showed the lowest performance with an accuracy value of 97.91%, a precision value of 93.20%, and a recall value of 86.40%.
Co-Authors Alfin Syarifuddin Syahab Anugerah Bagus Wijaya Aulia Hamdi Luky Rafi Anuggilarso