TRAJECTORY IDENTIFICATION AND PLANNING FOR BATIK PENDULUM PATTERN BASED ON EVOLUTIONARY COMPUTATION

• Main Author: Radityo Putri, Indah
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/79414
• Institution: Institut Teknologi Bandung

Batik Pendulum is a new batik pattern created by Rumah Batik Komar using a single string pendulum filled with wax. However, current production is still with manual process so it is not possible to re-manufacture in large quantities. This research is part of a machine and software development project to produce Batik Pendulum where this research will only focus on software development. The designed software will be equipped with a spiral trajectory identification feature in the form of rough sketch fitting and a spherical pendulum trajectory planning feature through parameter changes. The spiral path was chosen because it is often used in batik patterns, while the spherical pendulum path was chosen because it has the same pattern as the currently produced Batik Pendulum. In identifying spiral trajectories, an algorithm has been designed which receives input in the form of a rough sketch and produces a spiral pattern. The two optimization methods based on evolutionary computation, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), were proven to be the best methods in the case of spiral parameter identification. This spiral trajectory identification algorithm is designed in KOTLIN and has been compared with MATLAB. The PSO KOTLIN method is consistently the method with the fastest completion time followed by the GA KOTLIN, GA MATLAB, and PSO MATLAB with a comparison of each completion time being five to six times faster, 19 to 20 times faster, and 21 to 25 times faster. Implementing spiral trajectory identification in the software shows that the time required from rough sketch until the output trajectory formed is 90 – 240 seconds. Because the response time exceeds 10 seconds, the user gets feedback in the form of a loading screen display. In planning the spherical pendulum trajectory, an algorithm has been designed that receives input in the form of parameters to produce a spherical pendulum pattern. From these inputs, it is proven that the proposed parameters can provide a variety of spherical pendulum patterns. Implementing the spherical pendulum trajectory planning in the software shows that the time required from changing parameters until the output trajectory generated is 1 – 2 seconds. So, there is no need for any feedback to the user.