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RANCANG BANGUN ALAT PENGATUR KERUCUT LALU-LINTAS SEMI-OTOMATIS Christiand Christiand; Reinaldo Khowanto; Makdin Sinaga
SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Vol 12, No 2 (2018): SINTEK JURNAL
Publisher : University of Muhammadiyah Jakarta

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Abstract

The management (pick and place activities) of traffic cones (KLL) is generally performed in traditional way where the operator of KLL management picks and places KLL by using their body power. Therefore, the speed and effeciency of the task greatly depends on the power, stamina, and skill of the operator. Furthermore, in the case of KLL management at toll roads, the speed of task completion may vary because of stamina decreasing and huge number of KLL. Improving the speed and efficiency of the task is absolutely needed. One of the goals is to reduce the time of task completion as well as the power consumption of the operator. Electric motor may be used as the solution to achieve faster and effective KLL management. In this research work, a semi-automatic KLL pick-n-place machine is proposed to solve the problem. This machine uses DC motor to reduce the human power. In addition, a semi-automatic controller is designed to reduce the human role in the work sequence of KLL pick-n-place machine. Mechanical design of the machine is carefully formulated by taking into account the aspects of carrier (truck) type and the strength of build-material. The concept of the design is simple yet tough. The machine is designed to be flexible in mounting position whether it is mounted in the left or right side of the carrier deck. From the experiment, the maximum speed of the carrier when managing the KLL was ± 10 km/hour.
Path-Planning Module for Tricycle Mobile Robot Tommy Tommy; Christiand Christiand; Frederikus Wenehenubun
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 12 No 1 (2026): April 2026
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v12i1.7901

Abstract

The path planning module is essential for the navigation of autonomous systems. This research aims to develop a path-planning module in Python programming language using the A* algorithm in conjunction with V-REP software which is used to simulate the path-planning outcome. The A* algorithm is used in this research to implement path-planning for a tricycle mobile robot. Both simulated and physical studies were performed to evaluate the module's performance. In the experiments, inputs of velocity and steering angle are given to the mobile robot at every period as obtained from the simulation regression. The discrepancy between the simulated and physical experimental results was attributed to the inertia force acting on the robot and other factors. The steering angle dominance on a mobile robot also affects the final position of the robot.