This study aims to examine the impact of a 6-phase design using an asymmetrical dual
3-phase design on the torque and speed of an induction motor, where the newly designed motor still uses a 3-phase power source. The research compares the performance of a conventional 3-phase induction motor with that of an asymmetrical 6-phase induction motor design, focusing on torque and speed. This motor is only designed in terms of its windings, so the motor's position remains unchanged. The 3-phase system applied to the 6-phase induction motor design ensures that the 6-phase motor operates within a 3-phase system. The study also explores performance improvements, particularly in torque and speed, by redesigning the windings of a 3-phase induction motor into an asymmetrical 6-phase motor.
The induction motor used in this research has the following specifications: 3-phase, 2 A, 1390 RPM, 50Hz, 0.75 kW, and 380Y. The study aims to understand the effects of the asymmetrical 6-phase induction motor design, particularly regarding torque and speed. The results show that the torque and speed of the two motors differ due to the asymmetrical 6-phase winding design. In a conventional 3-phase induction motor, the winding coil layer distance is 120°, whereas, in the asymmetrical 6-phase induction motor, the distance between the first and second layers is 30°. Based on this analysis, the asymmetrical 6-phase induction motor design demonstrates better performance compared to the conventional 3-phase induction motor.

Induction motors are components that convert electrical energy into mechanical energy and are very much in demand among industries, with low prices, sturdy construction and easy maintenance making these induction motors used for heavy industrial applications. However, the 3-phase induction motor at this time chooses a low torque and speed so that it affects the efficiency of the induction motor performance, which will decrease.  This study examines the effect of unsymmetrical 2-layer 6-phase induction motor design on the torque and speed of 3-phase induction motors using the finite element method. This research was conducted using Ansys software, which aims to see the magnetic flux density and the effect of 6-phase induction motor design on the torque and speed of a 3-phase induction motor using the finite element method. The induction motor that is the reference for this research has specifications of a 3-phase induction motor: 0.75 KW, 1 HP, 220/380 V, 3.5/2 A, 50 Hz, 1390 rpm. From the results of this study, the simulation results of the shape of the flux density ... which is designed with the parameters of a 3-phase induction motor with an unsymmetrical 6-phase 2-layer induction motor coil design.

This research aims to analyze the impact of a new coil winding design in 3-phase induction motor on effiiciency, with the objective of creating a new 3-phase induction motor with improved performance. The research was conducted in the Electric Power System Laboratority, Department of Electrical Engineering, Padang Institute of Technology, and focuses solely on efficiency and its relationship to motor output power. The study involved redesigning the coils of a conventional 3-phase induction motor into a 6-phase coil design without altering the motor’s position, followed by testing both motors and comparing the efficiency of the conventional 3-phase induction motor with that of the redesigned 6-phase motor using the asymmetrical double methode. The result show that the efficiency of the 6-phase coil-designed motor increased compared to the conventional 3-phase induction motor.   importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

This study examines the role of Artificial Intelligence (AI) in marketing strategy through a Systematic Literature Review (SLR) approach. AI has shown a transformative impact by outperforming traditional methods, especially in optimizing big data-based marketing strategies. With the ability to analyze consumer behavior in depth, AI enables businesses to personalize marketing efforts and improve user experiences more efficiently and responsively. However, challenges such as data privacy, high initial investment, and reliance on data quality remain major concerns that must be addressed. This study also evaluates the effectiveness of using AI across marketing channels, which shows significant differences in their impact on business strategy. In addition, the integration of AI-based fitness equipment is considered to have a major contribution in increasing consumer satisfaction while driving online business growth. The results of this study provide valuable insights into the effective implementation of AI, as well as highlight the importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.