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The Labor-Intensive Housing Program is one of the Surabaya City Government’s policies aimed at reducing poverty and unemployment through labor-intensive community empowerment. This study aims to describe and analyze the implementation of the Labor-Intensive Housing Program (RPK) at the Pitstop business unit in Lidah Kulon Village, Lakarsantri Subdistrict, Surabaya City. This study employs a qualitative method with a descriptive approach, utilizing Van Meter and Van’s policy implementation theory. Primary data were collected through interviews and observations, while secondary data were derived from official documents and relevant publications. The results showed that the implementation of the Pitstop Labor Intensive Housing Program has not yet been optimal. In terms of policy standards and objectives, the program’s goals have been clearly defined but have not yet been fully achieved. Regarding resources, the availability of facilities and funding is adequate, but there are still limitations in human resources, particularly skilled technicians in the automotive repair field. Inter organizational communication has taken place but has not been intensive enough to support business sustainability. Characteristics of the implementing agents indicate that the structure of the Labor-Intensive Housing team has been clearly defined; however, implementation in the field has not been optimal due to weak coordination and communication. Economic, social, and political conditions-such as a less-than-strategic business location and high competition from similar businesses-have also contributed to the low number of customers. Meanwhile, the disposition of the implementers demonstrates a positive attitude in supporting the Labor-Intensive Housing program. The Labor-Intensive Housing Program must be supported by professional mechanics through education, certification, and collaboration with the private sector and training institutions to ensure the quality of services. In addition, building public trust, coordination among stakeholders, and intensive support through monitoring and evaluation are key to the success and sustainability of the Labor-Intensive Housing Program.

This research is grounded in the growing use of social media as a digital communication tool for companies to strengthen engagement with their audiences, including user communities. The study aims to explain the content management practices of the Instagram account @daihatsuofficialclub, which is managed by the Marketing Support team of PT Astra Daihatsu Motor (ADM). The research focuses on how content is planned, managed, and utilized as part of ADM’s digital communication strategy to build stronger connections with 21 official Daihatsu user communities. A descriptive qualitative method was employed through internship-based observation and interviews with the account management team. The findings show that the content management process applies the AIDA model through visually appealing posts, relevant information, community-centered storytelling, and interactive calls-to-action that encourage member participation. The implementation of the SOME model further supports a structured workflow across the stages of Share, Optimize, Manage, and Engage. Content marketing analysis indicates that the content fulfills key indicators of relevance, accuracy, value, readability, discoverability, and consistency. These results highlight that the management of @daihatsuofficialclub operates effectively, reflects a human-centered communication approach, and aligns with ADM’s digital communication strategy, contributing to stronger engagement, community closeness, and user loyalty.

The Checksheet process at PT. Automotive component companies are an important activity to maintain quality consistency in the production of automotive components, especially brackets. However, the inspection method that is still carried out manually causes waste of time, high use of paper, and increased operational costs. This study aims to reduce the cycle time of Patrol Check A-T-A, implement a digital (paperless) recording system, and improve process efficiency through the PDCA (Plan-Do-Check-Act) approach, Fishbone Diagram, and Why-Why Analysis. The results of the identification of the root of the problem show that the absence of a standardized digital system and the lack of management initiatives are the main causes of the long inspection process and high paper consumption. The implementation of E-Checksheet as a digital solution resulted in a significant reduction in cycle time, from 50 minutes to 10 minutes, as well as eliminating paper use by up to 100%. In addition, workflows become simpler, data is easier to monitor, and processes become more efficient. This study concludes that the digitization of Checksheet is able to increase operational effectiveness, reduce waste, and support continuous improvement in the manufacturing 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 investigates the relationship between design patterns, modular architecture, and the maintainability of distributed real time systems developed using agile practices. Distributed real time systems are critical in various sectors, including telecommunications, healthcare, and automotive, where strict timing constraints and reliability are essential. Agile methodologies, known for their flexibility and iterative development, have been widely applied to software engineering, but their impact on long-term system maintainability, especially in complex real time environments, has been insufficiently explored. This research employs an empirical analysis, combining both quantitative and qualitative data from multiple real time system projects using agile methods. The analysis focuses on the application of design patterns, such as Singleton, Observer, and Factory, and evaluates the effectiveness of modular architectures in enhancing system scalability, flexibility, and long-term sustainability. The study also explores how agile practices contribute to system performance and maintainability, despite challenges related to frequent updates and coordination among distributed teams. Key findings show a positive correlation between the consistent use of design patterns and modularity, which significantly improves the maintainability and adaptability of distributed real time systems. This research also highlights the challenges faced by agile methods in maintaining architectural consistency and managing non-functional requirements, particularly in distributed environments. The results contribute valuable insights into adapting agile practices to meet the specific demands of distributed real time systems, offering recommendations for developers and project managers to incorporate modular architecture and design patterns to enhance long-term system sustainability. Further research is suggested to explore new design patterns and investigate the broader impact of agile methodologies on system quality beyond maintainability.

The advancement of automotive technology has accelerated the adoption of renewable‑energy‑based electric vehicles, including the integration of solar panels on electric scooters. Indonesia’s tropical climate provides abundant solar energy potential; however, the limited surface area of scooters often restricts panel placement to the footrest section. This study aims to evaluate the impact of using a 10 mm clear acrylic cover on the performance of a 50 Wp monocrystalline solar panel in an electric scooter battery‑charging system. An experimental method was employed by comparing the panel’s performance under two conditions: without a cover and with the acrylic cover installed. Key parameters observed included voltage, current, and charging power, recorded using a data logger. Tests were conducted for 30 minutes under varying solar radiation intensities. The results indicate that the acrylic cover reduces the panel’s output power, from 55 W to 45 W at a solar radiation intensity of approximately 1100 W/m². These findings suggest that the use of an acrylic cover must be carefully considered to maintain optimal charging system performance.

The advancement of automotive technology has accelerated the adoption of renewable‑energy‑based electric vehicles, including the integration of solar panels on electric scooters. Indonesia’s tropical climate provides abundant solar energy potential; however, the limited surface area of scooters often restricts panel placement to the footrest section. This study aims to evaluate the impact of using a 10 mm clear acrylic cover on the performance of a 50 Wp monocrystalline solar panel in an electric scooter battery‑charging system. An experimental method was employed by comparing the panel’s performance under two conditions: without a cover and with the acrylic cover installed. Key parameters observed included voltage, current, and charging power, recorded using a data logger. Tests were conducted for 30 minutes under varying solar radiation intensities. The results indicate that the acrylic cover reduces the panel’s output power, from 55 W to 45 W at a solar radiation intensity of approximately 1100 W/m². These findings suggest that the use of an acrylic cover must be carefully considered to maintain optimal charging system performance.

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.

This study examines the factors influencing Indonesia’s motor vehicle exports to nine developing countries using the gravity model approach with long-term and short-term panel data. The variables analyzed include the Gross Domestic Product (GDP) of partner countries, exchange rates, economic distance, and trade cooperation agreements. The data are analyzed using the Error Correction Model (ECM) to capture short-term dynamics and long-term relationships. The long-term results show that partner countries’ GDP has a significant positive effect on Indonesia’s vehicle exports, indicating that economic growth in partner countries increases demand for Indonesian automotive products. Conversely, exchange rates and economic distance have significant negative effects, suggesting that depreciation of partner currencies and economic disparities reduce export volumes. Trade cooperation agreements do not have a significant impact in the long term. In the short term, changes in GDP continue to have a significant positive effect, while exchange rates maintain a significant negative impact on exports. Economic distance and trade agreements are not significant in the short term. The significant and negative error correction term (ECT) confirms the existence of an adjustment mechanism toward long-term equilibrium. This study highlights the importance of partner countries’ economic growth and exchange rate stability in supporting Indonesia’s vehicle exports to developing countries, as well as the need to address structural barriers to improve long-term competitiveness.

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.

In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.

PT. YGI, an automotive manufacturing company, uses the Press Injection GB-36 machine in its production process. However, this machine frequently experiences failures, causing high downtime and reduced production efficiency. This study aims to identify the types of failures, determine the most critical components, and propose a maintenance system using the Reliability Centered Maintenance (RCM) approach. The method used is descriptive qualitative, involving FMEA (Failure Mode and Effect Analysis), Logic Tree Analysis (LTA), and maintenance action selection. Data were collected through observations, historical failure documentation, and interviews. The analysis results indicate that components such as the injection nozzle, heating, and clamping are the most critical, contributing over 80% of total failures based on Pareto analysis and the highest RPN values in FMEA. Proposed maintenance actions include Condition Directed and Time Directed approaches. Additionally, the maintenance system is supplemented with standard operating procedures (SOP) and routine inspection schedules to improve machine reliability and reduce production downtime. This study is expected to enhance the efficiency and productivity of the Press Injection GB-36 machine at PT. YGI through the appropriate implementation of RCM.

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 current advancements in information technology have brought significant benefits to the industrial world, particularly in the automotive sector. Website development in business and computer- based academic information system development are among the utilization of information technology. With information technology, Carsentro dealer data can be processed quickly and easily, enabling the presentation of accurate, fast, transparent, and efficient administrative information reports. The purpose of developing this system is to address existing issues in the old system by creating an administration information system for Carsentro dealer rental payment data. The implementation of a new system for Carsentro dealer data can improve record-keeping accountability, thus avoiding manual input recording errors that cannot be monitored by dealers renting space at Carsentro. In the development of this administrative information system, the data to be inputted includes information on when dealers joined the Carsentro ecosystem, the amount of monthly rental fee invoices, payment data, and dealer debt or receivables data. The software used is DBMS (Database Management System) MySql as the data storage medium, while programming languages such as PHP, CSS, JavaScript, and HTML are used for interface development. This aims to facilitate both users and administrators in managing data.

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.

This community service program aims to strengthen the competence of automotive workshop MSMEs in mastering microcontroller-based starter system technology, enabling them to adapt to the era of vehicle digitalization. The program was carried out through several stages: identification of training needs, delivery of basic theory on microcontrollers and starter systems, practical sessions in module assembly and programming, followed by mentoring and evaluation. The results of the evaluation showed an 85% increase in participants’ understanding of the digital starter system concept, an 80% improvement in module assembly and programming skills, and a 75% increase in readiness to apply innovative starter systems in workshop services. The novelty of this activity lies in the development of a more applicable digital starter system model tailored to the needs of small-scale workshops. The implementation emphasized a participatory, practice-based approach using learning by doing. Participants, mainly workshop owners and technicians, were guided step by step from component recognition, software operation with Arduino IDE, to the prototyping of functional microcontroller-based starter systems. To ensure sustainability, the program also provided training modules, video tutorials, and online mentoring, allowing participants to continue practicing independently after the training. Beyond improving technical competence, this activity also fostered an innovative mindset among participants, making them more confident to provide modern, technology-oriented services. In the long term, the program is expected to enhance the competitiveness of automotive MSMEs, strengthen customer trust, and build collaborative networks between higher education institutions and local workshops in supporting vocational education and digital transformation.

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.