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All Journal Electron: Jurnal Ilmiah Teknik Elektro
Faida, Afida Nur
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Kendali Pergerakan Sumbu Pitch Sistem Twin Rotor Multi Input Multi Output (TRMS) dengan Menggunakan Metode Pole Placement State Feedback Ulya Darajat, Anisa; Istiqphara, Swadexi; Faida, Afida Nur
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 3 No 1: Jurnal Electron, Mei 2022
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v3i1.15

Abstract

Twin Rotor Multi Input Multi Output System (TRMS) is an aerial vehicle prototype which is used to test the control system in controlling the air vehicle. TRMS has characteristics similar to helicopters which are non-linear and multi-input multi-output (MIMO) systems. The design of the control system is a challenge for researchers with the aim of the vehicle being able to move according to the specified target, including the rotational movement that maintains the stability of the vehicle when navigating. Based on these problems, this paper will design a TRMS movement control system on the pitch axis. The method used in this research is the linear pole placement state feedback control system method which is obtained by placing the plant poles to the desired poles. The results obtained show that the pitch movement can be controlled without steady state error but there is an overshoot in the opposite direction to the target during the rise time, based on the three tests, the best settling time value is 0.46s with an overshoot rise time of 0.19rad.
Pengenalan Aksara Kaganga Lampung dengan Menggunakan Metode K-Nearest Neighbour (K-NN) istiqphara, swadexi; Faida, Afida Nur; Darajat, Anisa Ulya
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 4 No 1: Jurnal Electron, Mei 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v4i1.39

Abstract

Character recognition technology has been carried out using various artificial intelligence methods. In this paper, one of the artificial intelligence methods, namely K-nearest Neighbor (K-NN), will be proposed to recognize the kaganga script, which is the Lampung province script. The Lampung kaganga script is one of the Indonesian cultural assets from the native Lampung tribe. Currently, only a few people understand this Lampung kaganga script. Therefore, an effort is needed to preserve this character, one of which is through this research so that a computer application can be produced that helps in learning the Lampung kaganga script. In this paper, the recognition of the Kaganga Lampung script using the K-Nearest Neighbor (K-NN) will measure performance in terms of the recognition processing time and the recognition accuracy of this Lampung kaganga script. From the tests that have been carried out, the results obtained by using the K-NN method are able to recognize the kaganga Lampung character with an accuracy of 70% and the average time of the character recognition process is 1.1412 seconds.
Co-Authors Anisa Ulya Darajat Swadexi Istiqphara, Swadexi