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All Journal International Journal of Economic, Technology and Social Sciences (Injects)
Imron
Politeknik Pertanian Negeri Samarinda
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Implementation of Angklung Beat Density With Arduino and Piezoelectric Sensor Using Kalman Filter Applied for Reduce Noise Sensor Imron; Bagus Satria; Mika Debora Br Barus
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 3 No. 2 (2022): October 2022
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.085 KB) | DOI: 10.53695/injects.v3i2.854

Abstract

Angklung is a musical instrument consisting of several bamboo pipes arranged vertically and tied with string or rattan, so that when it is hit or shaken it produces a different sound depending on the size and thickness of the bamboo pipe. The vibrations given will cause the resulting sound resonance. The position of the handrails and how to shake are good learning parameters for beginners in operating the angklung. Knowing the number of vibrations or beats on the angklung can provide harmonization and resonance to be played together. These conditions require measurement and observation methods with the beat density of the angklung to form synchronization and harmonization. Piezoelectric sensors and Arduino are used to read the resulting vibrations. Under the conditions of the resulting vibration will cause noise. In the process of removing noise or interference, it is carried out using the Kalman Filter algorithm. The Kalman Filter algorithm is one that is widely used for noise filtering and for estimating the state of the system. The average obtained for knocks without using Kalman Filter is 9.3 beats and for those using Kalman Filter is 7.8 for a target of 5 beats. While the results of the 20-beat target condition produce an average for sensors without Kalman Filter producing an average number of beats of 25.3 and those using Kalaman Filter produce an average value of 23.3 beats.
The Comparison Of Tracking Methods Using QR Code Marker And Texture Marker On Augmented Reality Application Bagus Satria; Imron; Mika Debora Br Barus
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 3 No. 2 (2022): October 2022
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.128 KB) | DOI: 10.53695/injects.v3i2.855

Abstract

The research entitled " The Comparison Of Tracking Methods Using QR Code Marker And Texture Marker On Augmented Reality Application" aims to build augmented reality-based learning applications, implement tracking methods and then compare QR code markers with texture markers to determine which markers are better in augmented reality. This application displays 3-dimensional virtual objects by utilizing augmented reality technology with the help of the vuforia library, unity 3D software, and blender. Comparison of tracking methods using QR code markers and texture markers based on factors that affect the success of the application in detecting markers/detection objects. These factors are detection angle, detection distance and light intensity. Based on the results of testing on augmented reality applications with tracking methods using QR code markers and texture markers, it is known that QR Code markers can better display 3-dimensional virtual objects based on detection distance and detection angle.
Co-Authors Bagus Satria Mika Debora Br Barus