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Pengenal Gerakan dengan Joystick Akselerometer Menggunakan Filter Kalman Khoirudin Fathoni; Dhidik Prastiyanto
Jurnal Rekayasa Elektrika Vol 13, No 3 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v13i3.8570

Abstract

Human Machine Interaction keeps growing and developing, one of development is through gesture recognition that detects acceleration in a movement. This technology has been applied in joystick Wiimote and Wii-nunchuk by Nintendo that is widely used all over the world. Two main challenges in using accelerometer are to eliminate the noise of the sensor and to cancel the detected gravity acceleration when the joystick is tilted. The noise and gravity acceleration may influence the data reading and create error accumulation, respectively. This work proposes an implementation of Kalman Filter and also a simple technique to eliminate the influence of the gravity acceleration as a solution to solve above problems in using accelerometer of Wii-Nunchuk joystick in Board Arduino Mega 2560. The experimental results in motionless position show that the filter can reduce the gravity acceleration. We have to set the initial value of q and R parameters in the estimation of position, speed, and acceleration using Kalman filter. Once R is decided, the change of q will determine Kk gain, and it will locate the poles of the observer that influence the stability and the estimation result. With R=0.00005 and q=1, the poles of Kalman filter are located in the unit circle so that the estimation is stable and appropriate with the data from the sensor and even cancel the noise.
Pengembangan Aplikasi Easy Tenses Berbasis Android Sebagai Media Pembelajaran Digital Bahasa Inggris Ahmad Fashiha Hastawan; Dhidik Prastiyanto; Alfa Faridh Suni; Izzati Gemi Seinsiani; Hanrian Rossa; Prawidana Kurniawan; Miftah Nindya Rahmawati; Risma Septiana
Jurnal Pseudocode Vol 10 No 2 (2023): Volume 10 Nomor 2 September 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.10.2.106-116

Abstract

Learning media innovation is in line with developments in information technology. Many of the innovations being developed now utilize the fields of multimedia and mobile devices. These two fields have proven capable of producing interesting learning media and making it easier for students to learn learning material digitally. One of the learning materials that requires digital media is English. Many English learning applications have been developed but are not yet in accordance with the learning plans of teachers and students so they are not used directly in class. Based on these problems, this research developed an application for learning English digitally that can be used directly in classroom learning. Application development is carried out using the waterfall method and is adjusted to the learning plans of school teachers. The results of application implementation are tested on all users through user assistance and filling out surveys. From the results of testing the application using black box testing, it was found that the percentage of 100% of the functions ran as expected. From the results of the application validation test, a score of 86.5% was obtained for material suitability from material experts, 83.8% for media suitability from media experts, 82.6% for useability from educators' assessments, and 81% for useability from students' assessments. From the overall validation test results carried out on material experts, media experts, educators and students, the overall average validation results were 84.37%, which shows that the Easy Tenses application created can be categorized as very suitable for use. Keywords: Applications, English, Digital media, Multimedia, Waterfall Method.
Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point Apriaskar, Esa; Prastiyanto, Dhidik; Utomo, Aryo Baskoro; Manaf, Akhyar Abdillah; Amelia, Ilya; Ilham, Dimas Alfarizky; Bilqis, Viyola Lokahita; Photong, Chonlatee
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.105-113

Abstract

Bicopter is an unmanned aerial vehicle (UAV) with the advantage of saving energy consumption. However, the unique two rotors design presents a challenge in designing a controller that achieves good stability, fast settling time, and the ability to overcome oscillations simultaneously. This article proposes a new control method for bicopter that uses a genetic algorithm optimization approach in the linear quadratic (LQ-GA) control method. The GA is used to search for the best weighting matrix parameters, Q and R, in the Linear Quadratic (LQ) control scheme. The proposed control method was tested on a balancing bicopter test platform with an input in the form of difference in pulse width modulation (PWM) signals for both rotors and an output in the form of roll angle. The control system was evaluated based on the stability of the transient response and the generated control signal. The results of the tests showed that the proposed LQ-GA control method has better stability, faster settling time, and smaller overshoot than the existing PI and standard LQ control methods. Therefore, the proposed LQ-GA control method is the most suitable for use in a balancing bicopter system with a non-zero setpoint.
TOILET RAMAH PUBLIK DENGAN SISTEM DETEKSI CERDAS TUNA DAKSA MENGGUNAKAN ALGORITMA YOLOV5 Arvina Rizqi Nurul'aini; Azrul Hanif Dinofa; Niko Andriano; Mario Norman Syah; Dhidik Prastiyanto
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penyediaan fasilitas umum yang inklusif merupakan bagian penting dalam mewujudkan kesejahteraan sosial, khususnya bagi penyandang disabilitas. Salah satu fasilitas yang perlu mendapat perhatian adalah toilet umum yang ramah bagi penyandang disabilitas. Namun, sering terjadi penyalahgunaan oleh pengguna non-disabilitas yang mengakses toilet khusus tersebut, sehingga mengurangi kenyamanan dan aksesibilitas bagi mereka yang sangat membutuhkan. Penelitian ini mengembangkan sistem deteksi cerdas berbasis computer vision menggunakan algoritma YOLOv5 untuk mengidentifikasi pengguna kursi roda sebagai prasyarat akses toilet. Dataset yang digunakan diperoleh dari platform Roboflow yang kemudian dilatih menggunakan model YOLOv5m dengan parameter pelatihan sebanyak 150 epoch dan ukuran batch sebanyak 16. Hasil pelatihan menunjukkan bahwa model mampu mendeteksi pengguna kursi roda dengan tingkat akurasi sebesar 83%. Hasil tersebut menunjukkan bahwa pendekatan berbasis YOLOv5 cukup efektif dalam mendukung pengembangan sistem akses toilet yang lebih adil dan tepat sasaran. Diharapkan penerapan teknologi ini dapat membantu menciptakan fasilitas publik yang lebih inklusif dan meningkatkan kesadaran akan pentingnya aksesibilitas bagi penyandang disabilitas.