Implementation of a Fuzzy Logic Controlled Full Bridge SPWM Inverter for Lighting and Charging Applications

Thu, 28 Aug 2025 00:00:00 +0700

As energy sources continue to dwindle, they have garnered significant attention, prompting the government to set a target of at least 31% of Indonesia's total energy consumption coming from renewable sources. This study focuses on developing an inverter, a device that converts direct current (DC) into alternating current (AC), utilizing a 12V/100Ah battery to support a 150-watt AC load. The proposed inverter adopts a full-bridge configuration with single-phase sinusoidal pulse width modulation (SPWM) and incorporates a fuzzy logic controller to ensure stable output voltage. The implementation results indicate that the designed full-bridge inverter produces a steady output aligned with the input from a 12V LiFePO4 battery, as confirmed by data collection which compared the output with and without control, showing that the controlled system yields a more stable output. The testing results of the full-bridge inverter using the SPWM method indicate that the system can produce an AC output voltage of 221–224 V with a frequency of 50 Hz, in accordance with the established standards. In contrast, during testing without control, the output voltage ranged only between 145–147 V with a frequency of 99.18 Hz, which does not meet operational standards. These results clearly demonstrate the effectiveness of the fuzzy controller in maintaining both voltage and frequency stability under varying operating conditions. By accurately adjusting the system response, the fuzzy controller ensures that the inverter consistently delivers output within the desired standard range, thereby enhancing the overall performance and reliability of the system.

The Impact of Service Quality and Price on Customer Loyalty: The Role of Perceived Value as an Intervening Variable

Armin Darmawan, Andi Pujikharisma, Amrin Rapi — Mon, 04 Aug 2025 00:00:00 +0700

In today's highly competitive restaurant industry, customer loyalty is a vital component for achieving business success. However, many restaurants face challenges in retaining customers due to inadequate service quality and ineffective pricing strategies. This study explores the relationship between service quality and price on customer loyalty in a casual restaurant setting, with perceived value serving as a mediator. Utilizing Structural Equation Modeling (SEM) for data analysis, the results reveal that both service quality and price have a positive and significant impact on customer loyalty. Furthermore, perceived value is found to have a positive and significant effect on customer loyalty. The study also discovers that service quality and price significantly influence perceived value. These findings underscore the importance of service quality and price in fostering customer loyalty, as well as the crucial role of perceived value in this dynamic. By gaining a deeper understanding of these relationships, restaurants can devise strategies to enhance their service quality and pricing, ultimately leading to increased customer loyalty and business success. This study offers valuable insights for restaurants aiming to improve customer loyalty and retention, providing a foundation for informed decision-making and strategic development. The results of this research can be instrumental in helping restaurants to better understand their customers' needs and preferences, and to develop targeted strategies to meet those needs.

Jurnal Teknologi dan Manajemen

Implementation of a Fuzzy Logic Controlled Full Bridge SPWM Inverter for Lighting and Charging Applications

The Impact of Service Quality and Price on Customer Loyalty: The Role of Perceived Value as an Intervening Variable