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Neural Network Controller Design for a Mobile Robot Navigation; a Case Study Tresna Dewi; Pola Risma; Yurni Oktarina; M. Taufik Roseno
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.323 KB) | DOI: 10.11591/eecsi.v4.1055

Abstract

Mobile robot are widely applied in various aspect of human  life. The main issue of this type of robot is how to navigate safely to reach the goal or finish the assigned task  when applied autonomously in dynamic and uncertain environment. The  ap- plication of artificial intelligence, namely neural   network,  can provide a ”brain” for the robot to navigate safely in completing the assigned task. By applying neural network, the complexity of mobile robot control can be  reduced by choosing the right model of the system, either   from mathematical modeling or directly taken from the input of sensory data  information. In this study, we compare the presented methods of previous  researches that applies neural network to mobile robot navigation. The comparison  is started  by considering  the right  mathematical model for the robot, getting the Jacobian  matrix  for online training, and giving the achieved input model to  the designed neural network layers in order to get the estimated position of the robot. From this literature study, it  is concluded that the consideration of both kinematics and dynamics modeling  of the robot will result in better performance since the exact parameters of the system are known.
APLIKASI PENDAFTARAN PASIEN PADA KLINIK BIDAN DEWI CISELIA PALEMBANG Triesia, Diah; M. Taufik Roseno; Yudha Pratomo; Nanda Syukerti
Klik - Jurnal Ilmu Komputer Vol. 3 No. 1 (2022): Klik - Jurnal Ilmu Komputer
Publisher : Fakultas Ilmu Komputer Universitas Sumatera Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56869/klik.v3i1.355

Abstract

Membuat aplikasi pendaftaran pasien yang dapat mengatur antrian serta memudahkan stafdalam melakukan pendataan pasien ataupun pencarian data pasien lama yang akan berobatpada Klinik Bidan Dewi Ciselia. Pada aplikasi ini data yang di input merupakan data pasien,Bidan poly, dan rekam medis pasien Aplikasi ini berbasis web mobile dan dibangunmenggunakan Bahasa Pemograman PHP dan database MySQL.