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This study aims to analyze the impact of the increase in Value Added Tax (VAT) and inflation on the sales revenue of PT Astra International Tbk during the 2022–2024 period. The research employs a quantitative approach using multiple regression analysis to examine the relationship between VAT, inflation, and sales revenue. Secondary data were obtained from the company’s financial statements, inflation data from Statistics Indonesia (BPS), and VAT rate information from the Directorate General of Taxes (DJP). The data were analyzed to identify how VAT and inflation influence the company’s revenue. The results indicate that both VAT and inflation have a significant effect on sales revenue, both simultaneously and partially. The coefficient of determination (R²) of 0.899 shows that 89.9% of the variation in sales revenue is explained by the changes in VAT and inflation rates. These findings suggest that VAT and inflation are important economic factors that should be considered by businesses, especially in the automotive industry, when planning strategies for revenue generation. Furthermore, the study emphasizes the critical need for companies to adapt to changing fiscal policies and macroeconomic conditions to maintain profitability and competitive advantage in a fluctuating economic environment.

The automotive industry requires fast and accurate sales services, particularly in vehicle credit simulation processes. At Mazda dealerships, credit simulations are still commonly conducted using conventional tools such as printed installment tables or static PDF documents, which often cause delays and calculation errors. This study aims to design and develop a mobile-based vehicle credit simulation application using the Human-Centered Design (HCD) approach and the Flutter framework. The HCD method was implemented through the inspiration, ideation, and implementation stages to ensure that the application meets the real needs of Mazda sales representatives. The application supports flexible credit calculations based on vehicle on-the-road price, down payment, loan tenor, interest rate, and insurance schemes, including All Risk and combination insurance. Usability testing results show that the proposed application significantly improves calculation speed, accuracy, and overall user experience compared to conventional methods. Therefore, the application effectively supports sales performance, minimizes human error, and enhances professionalism in automotive sales services.

This study aims to design and develop an electrical installation panel by applying engineering safety principles in the water spray booth of a vehicle body painting system. Field observations indicate that electrical panels in painting rooms often do not meet safety standards, which can lead to short circuits and potential fire hazards. The research employed a Research and Development (R&D) method using a simplified Borg and Gall model consisting of nine stages, starting from problem identification to effectiveness testing. Expert validation results obtained a score of 87.5% (highly valid), practicality testing yielded 90% (very practical), and effectiveness tests showed an average current of 4.1 A, with both the MCB and emergency stop functioning optimally. The developed panel product is declared feasible to be used as a practical learning media for automotive electrical systems. Based on the test results, the panel product was declared suitable for use and can be used as a learning medium in automotive electrical practice, helping to increase understanding of the application of safety in electrical installations in the automotive industry.  

The development of the automotive industry, especially automatic motorcycles in Indonesia, is increasingly rapid and triggers fierce competition between manufacturers, including Piaggio with the Vespa Matic LX product which has a unique design, elegant image, and different characteristics from other automatic motorcycles. This study aims to analyze the influence of price perception, promotion, product quality, lifestyle, and brand image on the interest in buying Vespa Matic LX in people in Tegal City. The research approach uses quantitative methods with survey techniques. The study population is the people of Tegal City who use or own a Vespa Matic LX, and because the population is unknown, the sample determination uses the Lemeshow formula so that 100 respondents were obtained. Data analysis included instrument tests, classical assumption tests, and multiple linear regressions with the help of IBM SPSS Statistics 22. The results showed that all variables—price perception, promotion, product quality, lifestyle, and brand image—had a positive and significant effect on purchase interest. These findings confirm that the management of the right marketing strategy in terms of price, promotion, quality, lifestyle, and brand image can increase consumer interest in the Vespa Matic LX. This research provides important implications for companies in formulating marketing strategies that are more effective and oriented to consumer needs.

Abstract. This study aims to analyze the effect of four-wheeled vehicle production and imports on the unemployment rate in West Java Province during the 2016–2023 period. The background of the study stems from the fluctuating conditions of vehicle production and imports, as well as West Java's unemployment rate, which tends to be higher than the national average. The study employed a quantitative approach with secondary data obtained from Statistics Indonesia (BPS) and the Indonesian Association of Indonesian Automotive Manufacturers (GAIKINDO). The analytical method used was multiple linear regression to determine the simultaneous and partial effects between variables. The results show that four-wheeled vehicle production and imports simultaneously have a significant effect on the unemployment rate. Partially, four-wheeled vehicle production has a significant negative effect, meaning that increased production can reduce the unemployment rate in West Java. Conversely, four-wheeled vehicle imports have no significant effect on the unemployment rate, so increased imports do not directly affect labor absorption. The coefficient of determination of 83.4% indicates that production and imports contribute significantly to explaining variations in the unemployment rate. These research findings emphasize the importance of strengthening the automotive industry sector as a strategy to reduce unemployment in West Java.

The motorcycle industry in Indonesia has experienced rapid development, particularly in the scooter segment, which dominates the market due to its convenience and efficiency. Despite this growth, Yamaha’s market share has shown fluctuations, indicating inconsistent consumer purchase intention. This study aims to analyze the effect of Word of Mouth (WOM), Brand Image, and Social Media Marketing (SMM) on purchase intention of Yamaha motorcycles in Denpasar City, using the Theory of Reasoned Action (TRA) as the underlying framework. The research employed a quantitative approach with a survey method involving 104 respondents. Data were analyzed using validity and reliability tests, classical assumption tests, and multiple linear regression analysis. The results demonstrate that WOM, Brand Image, and SMM each have a positive and significant effect on purchase intention, with WOM emerging as the most dominant factor. The regression model indicates that these three variables jointly explain 77.2% of the variance in purchase intention, while the remaining 22.8% is explained by other factors not included in this study. The findings confirm that strengthening WOM, enhancing brand image, and optimizing social media strategies are essential to increase consumer purchase intention. This study contributes to both theoretical development and managerial practice in the field of consumer behavior and marketing strategy in the automotive industry.

This study aims to analyze digital communication planning through Instagram to market MAKA Cavalry products at the MAKA Showroom in Gading Serpong . As a local automotive company producing electric motorcycles, MAKA Motors faces significant challenges from competitors and the importance of building brand awareness through digital media. The study used a qualitative approach using Regina Luttrell's Circular Model of SOME (Share, Optimize, Manage, Engage) as the foundation for its digital communication strategy. Data were collected through participant observation, in-depth interviews, and documentation of the activity of the @ makamotorsgadingserpong_vina Instagram account. The results show that a structured digital communication plan through Instagram can increase visibility, audience interaction, and brand image of MAKA Cavalry products. The strategies implemented include creating relevant and visually appealing content, optimizing posting times and hashtags, consistent account management, and encouraging audience engagement through two-way interactions. This study highlights the importance of evaluating Instagram insights and adapting content to suit the needs of the target audience. These findings can serve as a reference for the local automotive industry in optimizing social media as a marketing tool for environmentally friendly technology-based products.

Air pollution and oil reserves are two major issues in the technological development of the automotive industry. Air pollution is caused by gases from burning fossil fuel vehicles. In 2018-2019 Indonesia experienced a drastic decrease in petroleum resources by 49.8%. To overcome this problem, many researchers have conducted research on electric vehicles, including electric bicycles. This study aims to determine the effect of distance and load on BLDC motor power consumption on a prototype e-bomber electric bicycle designed for all terrains such as rocky, sandy, and muddy, and has a large battery capacity, low power consumption, and an electric motor with good speed and torque. This research uses a pseudo-experimental method with a quantitative approach. Tests were carried out on e-bomber electric bicycles with distances of 3 km, 5 km, and 8 km and loads of 60 kg, 70 kg, and 80 kg with a speed of 25 km / h. The results showed that there was an influence of distance and load on the e-bomber electric bicycle. The results showed that there was an effect of distance and load on BLDC motor power consumption with the results of graph analysis and two-way ANOVA tests conducted and the lowest average power consumption of 500 watts at a distance of 3 km and a load of 60 kg, while the highest average power consumption was 522.5 watts at a distance of 8 km and a load of 80 kg.

The automotive sector continues to demonstrate significant progress in line with innovations in various supporting components of motor vehicles. Motorcycles, which initially served only as a practical means of transportation, have now evolved into a lifestyle element and a popular activity among many communities. Along with the increasing demand from consumers for performance and efficiency, the development of transmission technology, particularly the Continuously Variable Transmission (CVT) system, has become an important aspect that requires serious attention. One of the key components in the CVT system is the double clutch lining and the clutch housing, which play a vital role in transferring torque and power from the engine to the driving wheel. The performance of these components directly affects acceleration, efficiency, and engine durability. Therefore, research on the design and modification patterns of the double clutch lining and clutch housing is essential to determine an optimal configuration. This study applies an experimental method using a 110 cc motorcycle as the test object. Several modification patterns were applied to the double clutch lining and clutch housing to examine their influence on vehicle performance. The testing process was carried out using a dynotest, which enables precise measurement of torque and power across different engine speeds. The data obtained from these tests are expected to provide a clear overview of the effect of modification patterns on the transmission performance of motorcycles. The findings of this research are expected to contribute significantly to the development of more efficient and optimal designs for double clutch linings and clutch housings. Furthermore, this study may serve as a valuable reference for the automotive industry as well as motorcycle modification communities in enhancing vehicle performance while maintaining efficiency and component durability. In this regard, innovations in CVT components hold great potential to support the advancement of two-wheeled transportation technology in the future.

The rapid development of automotive technology requires students majoring in automotive vocational schools (SMK), particularly in the field of vehicle charging and starting systems, to understand the charging and starting systems. Charging and starting systems are two crucial components in ensuring vehicle operation. For students, having a strong knowledge of how these systems work, maintain, and diagnose them is key to facing the challenges of the automotive industry. Therefore, improving the quality of automotive education is essential so that students can master the basic concepts and techniques needed to carry out their duties as automotive technicians. This research focuses on developing a trainer that can help vocational school students better understand and master vehicle charging and starting systems. The trainer, developed at SMK NU Sunan Ampel Tumpang, records real-world conditions in vehicles using components such as batteries, alternators, regulator ICs, starter motors, and other supporting electrical systems. One innovative feature added is testing the effect of variations in pulley ratios on alternator output voltage and current. This feature provides students with the opportunity to conduct hands-on experiments, analyzing how variations in pulley ratios can affect the performance of a vehicle's charging system. It is hoped that with this trainer, students will not only gain theoretical knowledge but also practical experience that will enable them to perform diagnoses, understand the working principles of charging and starting systems, and analyze system efficiency based on rotational speed measurements. Thus, students' competency in the automotive field can be improved, and they will be better prepared to face the increasingly complex world of work. The successful development of this trainer can also serve as a valuable reference for educators and the automotive industry in designing applicable and contextual learning strategies.

This community service program was implemented to overcome the limited technical capacity of teachers and students at SMK Negeri Jambu in mastering the installation and programming of battery-based electric vehicles, which is a crucial skill in preparing competent human resources for the rapidly evolving green vehicle industry. The program specifically aimed to enhance participants’ knowledge and skills in several key areas, including the installation of electric motor control systems, management of battery energy, and maintenance of essential electric vehicle components. To achieve these goals, the activities were carried out using a blended method that integrated lectures, demonstrations, and direct hands-on practice, supported by continuous mentoring and systematic evaluation. In addition, QR Code–based learning resources were incorporated to provide participants with quick and efficient access to digital instructional materials, allowing for more flexible and independent learning. The evaluation results revealed significant progress in both the theoretical understanding and practical abilities of the participants. They were able to demonstrate improvements not only in operating and maintaining electric vehicle systems but also in identifying problems and performing troubleshooting independently. These findings suggest that the program effectively contributed to building sustainable competencies for teachers and students, equipping them with relevant skills aligned with the needs of the green automotive industry, while also promoting technological adaptation and innovation in vocational education.

Along with economic recovery and fiscal stimulus, the automotive industry is starting to show a recovery trend. The purpose of this study was to determine the effect of liquidity ratios and solvency ratios on profitability in automotive sub-sector companies and components listed on the Indonesia Stock Exchange for the 2019- 2023 period. The method used in this research is quantitative with a descriptive approach using secondary data in the form of financial reports of companies listed on the Indonesian stock exchange for the 2019-2023 period. The data collection technique used in this study is the documentation technique, namely by collecting secondary data in the form of the company's annual financial statements obtained from the official website of the Indonesian stock exchange and the official website of each company. The results of the study based on partial tests show that Current Ratio has no significant effect on ROA with a t value < t table, namely 0.255 < 2.02439 and a significant value of 0.800> 0.05 and partially Debt to Equity Ratio has a negative and significant effect on ROA with a t value < t table, namely -2.336 < 2.02439 and a significant value of 0.25 < 0.05. Meanwhile, based on the simultaneous test, Current Ratio and Debt to Equity Ratio simultaneously have a positive and significant effect on the Return On Asset (ROA) variable with the value of t count> t table, namely 3.518> 3.25 and a significant value of 0.040 <0.05.

The quality of service towards customer satisfaction in the automotive industry of Toyota car transportation in Indonesia is growing rapidly from year to year, especially in big cities in Indonesia this car is very much needed. The market conditions that are becoming wider and market opportunities are everywhere, this results in increasingly open and tight competition competing to be able to meet the needs and demands required by customers, customer satisfaction is a level where the estimated product performance is in accordance with the buyer's expectations and one of the ways of PT Astra International Tbk - TSO Auto2000 Salemba Branch to maintain the quality of service to customers. Customer Satisfaction Index (CSI) is a method for measuring customer satisfaction based on attributes to be measured such as compliance, responsiveness, assurance, and empathy. The purpose of the study is to improve the performance of service, facilities and customer handling of PT Astra International Tbk - TSO Auto2000 Salemba Branch. The overall level of customer satisfaction is in the good category with a CSI value of around 97%, indicating that customers are satisfied with the services provided by PT Astra International Tbk - TSO Auto2000 Salemba Branch. The factors that most influence customer satisfaction are the quality of staff service, including intimidation and speed of service.

In the automotive manufacturing industry, efficiency in quality control is a crucial factor to ensure consistent product quality. Conventional Quality Assurance (QA) processes using manual record-keeping often face challenges such as delayed reporting, human errors, and difficulty in tracking historical data. This study aims to design and implement a QA performance dashboard based on digital forms at PT Dharma Polimetal, Tbk, to enhance efficiency in production quality control. The research methodology includes direct field observation, collection of production and QA data, mapping of QA process flows, interactive dashboard interface design, and system trial implementation. The designed dashboard focuses on four main aspects: QA Incoming, QC Line, QC Gate, and Customer Handling, each containing measurable performance indicators and quality parameters. Initial implementation results indicate significant improvements in QA process monitoring, faster reporting of inspection results, and easier real-time data access for both production teams and management. The system enables early detection of potential quality issues, supports rapid decision-making, and facilitates internal and external audits. Moreover, the use of digital forms within the dashboard enhances data accuracy, minimizes human error, and creates structured historical records for long-term analysis. This study provides a tangible contribution to the digitalization of QA systems, strengthening sustainable quality control practices in the automotive industry, thereby ensuring consistent productivity and product quality.

The development of information technology has driven a significant transformation in business strategy, including in the automotive industry. This study aims to analyze the influence of digital marketing and service quality on the purchase decision of Honda motorcycles on the Honda Ciracas Ride. The shift from conventional to digital marketing and the high competition of the automotive industry in the East Jakarta area are important backgrounds for this study. The research method used is a quantitative approach with survey techniques through questionnaires distributed to 263 respondents who have made purchases. Data analysis was carried out using SPSS software with a series of statistical tests, including validity, reliability, classical assumption, multiple linear regression, t-test, F-test, and coefficient of determination. The results of the study showed that partially, digital marketing had a positive and significant effect on purchase decisions, with a t-count value of 2.355 > t-table of 1.970 and a significance of 0.019 < 0.05. The quality of service also showed a positive and significant influence, with a t-count value of 7.782 > t-table of 1.970 and a significance of 0.000 < 0.05. Simultaneously, these two variables have a significant effect on purchasing decisions, shown by the F-calculation value of 66.438 > F-table 3.030 and the significance of 0.000 < 0.05. These findings confirm the importance of optimizing digital marketing strategies and improving service quality in improving consumer purchasing decisions in the automotive sector.

This study investigates the influence of the marketing mix (product, price, promotion, and place) on purchase decisions for automotive products at PT. XYZ Sidoarjo. Using a quantitative approach, data were collected from 150 consumers who had purchased vehicles, spare parts, or services within the last six months. A structured questionnaire measured the four marketing mix elements and purchase decision using a 5-point Likert scale. Multiple linear regression analysis was applied to test the partial and simultaneous effects of the independent variables on the dependent variable. The results indicate that all four elements significantly and positively affect purchase decisions, with price emerging as the most dominant factor. The model’s Adjusted R² value of 0.915 shows that the marketing mix variables explain 91.5% of the variation in purchase decisions. These findings reinforce the relevance of the 4P framework in the automotive sector and highlight the need for integrated marketing strategies. Practically, the study suggests that PT. XYZ Sidoarjo should focus on maintaining competitive pricing, enhancing product quality and innovation, optimizing promotional activities—especially digital marketing—and strengthening distribution channels to sustain competitiveness in a dynamic market. In addition to these findings, the study provides insight into consumer behavior within the automotive industry, particularly in a highly competitive market like Sidoarjo. Consumers are increasingly sensitive to pricing structures, especially given the economic pressures and the availability of alternative brands. Price sensitivity, therefore, should be a focal point in shaping future marketing strategies. Companies need to conduct regular market analysis to ensure their pricing aligns with customer expectations and perceived value.

This study aims to analyze the electrical energy consumption of a bench-type drilling machine, RYU RDB 13, by varying machining parameters in the form of spindle speed and feed rate. Electrical energy is a critical aspect of production efficiency in the manufacturing industry, particularly in machining processes that require continuous power consumption throughout the cutting operation. The material used in this study is aluminum 6061, chosen for its lightweight, corrosion resistance, and wide application in the automotive and aerospace industries. The drilling process was carried out using three spindle speed variations: 620 rpm, 920 rpm, and 1280 rpm, along with three feed rate variations: 0.04 mm/rev, 0.08 mm/rev, and 0.1 mm/rev. Current and voltage were measured using a digital wattmeter in real-time, and energy consumption was calculated in wattseconds (Ws) using power calculation formulas. The results indicate that increasing the feed rate and spindle speed leads to higher instantaneous power consumption. However, total energy consumption tends to decrease at higher speed and feed combinations due to shorter machining times. The optimal parameter combination was found at a feed rate of 0.1 mm/rev and a spindle speed of 1280 rpm, which resulted in the lowest energy consumption of 387 Ws and the fastest drilling time. This demonstrates that selecting the right machining parameters not only improves energy efficiency but also maintains or enhances productivity. The observed power consumption pattern typically shows a sharp increase at the beginning of the drilling process, a stable phase during the main cutting stage, and a rapid decrease towards the end of the cut. These findings contribute to a better understanding of the relationship between machining parameters and energy efficiency, serving as a basis for developing sustainable production strategies in the manufacturing sector that prioritize energy savings and cost reduction.

The automotive industry is a strategic sector that plays a crucial role in national economic growth. Facing rapid digital transformation, automotive companies are increasingly adopting Business Intelligence (BI) systems to facilitate a data-oriented decision-making process. This study aims to explore the implementation of BI in XYZ, one of Indonesia’s largest car manufacturers. Using a descriptive qualitative approach through literature review, the research highlights how BI dashboards enable real-time analysis of vehicle sales trends, regional performance, and product models. The findings indicate that BI significantly enhances strategic planning, marketing accuracy, and operational efficiency. Visual tools such as Tableau provide centralized dashboards that facilitate faster insights, enabling companies to adjust production and distribution strategies based on data patterns. The study concludes that BI is not merely a visualization tool but a vital element of the digital transformation strategy in the automotive sector.

This study uses a qualitative method to analyze the integration model of Supply Chain Management (SCM) in the manufacturing-service industry, focusing on a case study in the automotive sector. SCM integration in this context involves the coordination of production processes, distribution, and after-sales services to enhance efficiency and responsiveness to customer demands. Data were collected through in-depth interviews and direct observations at an automotive company implementing integration strategies between manufacturing and service operations. The findings show that cross-functional collaboration among suppliers, manufacturers, and service providers plays a vital role in creating an adaptive supply chain. Digital integration through connected information systems also significantly accelerates decision-making and improves overall supply chain visibility. This study highlights the importance of a holistic approach encompassing technical, organizational, and inter-partner relationship aspects. The results are relevant for automotive companies aiming to strengthen competitiveness through cross-sector SCM integration and serve as a reference for developing industrial policies that support collaboration between manufacturing and service actors in the Industry 4.0 era.  

In today's era, business competition is getting tighter, including among similar business players in the Asian free market. Competition is not only about price and product quality, but also includes marketing strategies, service innovation, and maintaining consumer loyalty. This research aims to analyze the marketing strategies implemented by PT. Honda Prospect Motor (HPM) in facing globalization and the Asian free market through a SWOT analysis approach. In the context of increasingly tight competition in the motorcycle market, HPM must be able to adapt effective marketing strategies to maintain its position as the market leader in Indonesia and develop its market share in Asia. This research uses a qualitative approach with a case study on HPM, exploring the strengths, weaknesses, opportunities, and threats faced by the company in the context of a free market and the dynamics of the automotive industry. The analysis results show that HPM has strengths in a strong brand, extensive distribution networks, and innovation capabilities in products. However, there are weaknesses in product diversification and dependence on the domestic market. Existing opportunities include market expansion in Asia and increasing demand for environmentally friendly vehicles, while threats come from intense competition and fluctuations in the global economy. Based on these findings, HPM is expected to develop more adaptive and globalization-oriented marketing strategies to enhance competitiveness in the Asian market.