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The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

This study aims to qualitatively analyze the impact of order cancellations and customer ratings on the performance, performance, and income of online motorcycle taxi (Gojek) drivers in the Slawi region. The research method used a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation of a number of active drivers. The results show that the high rate of order cancellations, both from customers and the system, negatively impacts driver income stability and reduces work time efficiency. Furthermore, customer ratings play a crucial role in determining driver access to orders, incentives, and account sustainability. Drivers with low ratings tend to experience decreased performance due to limited opportunities to receive orders. On the other hand, the pressure to maintain high ratings also affects drivers' psychological state and work strategies. This study concludes that order cancellations and customer ratings are crucial factors that are interrelated in influencing the work quality and welfare of online motorcycle taxi drivers. Therefore, fairer and more transparent platform policies are needed to maintain a balance between customer satisfaction and driver protection.

The increasing intensity of traffic object movement in urban areas has not been accompanied by adequate road infrastructure, resulting in traffic congestion, air pollution, and a higher risk of traffic accidents. One of the primary causes of accidents is traffic violations, particularly wrong-way driving behavior. This study develops a video-based automated traffic violation detection system using the YOLOv5 algorithm. A computer vision approach is employed to detect, classify traffic objects, and count wrong-way violations in real time. Due to limited access to real-world traffic violation footage, simulated traffic scenarios are used as testing data. The system is evaluated on four traffic object classes: motorcycles, cars, buses, and trucks. Experimental results demonstrate strong performance, achieving a precision of 90%, a recall of 92%, and an F1-score of 91%, while the traffic object counting accuracy reaches 89%. These findings indicate that the proposed system has significant potential to support traffic analysis and assist authorities in making more effective decisions to reduce congestion and traffic accidents.

This study aims to analyze the differences in motorcycle traffic flow (Q) during the morning and afternoon peak hours as an indicator of roadway operational performance, referring to the Indonesian Road Capacity Guidelines (PKJI) 2014, with a case study on Mawar Street–Wijaya Kusuma Street, Jember Regency. The research data were obtained from 12 observation points through traffic surveys that recorded motorcycle traffic flow in vehicles per hour (veh/h). The analytical methods used include descriptive statistical analysis, normality testing, and paired sample t-test. The results show that the average motorcycle traffic flow during the morning peak hour is 115.58 veh/h with a standard deviation of 62.97, while during the afternoon peak hour it is 63.25 veh/h with a standard deviation of 28.57. The paired sample t-test yields a significance value of 0.015 (p < 0.05), indicating a statistically significant difference between morning and afternoon traffic flows. These findings suggest that the level of roadway capacity utilization is higher during the morning peak hour, which is closely associated with dominant routine travel activities such as commuting to work and school. The results of this study are expected to serve as a basis for evaluating roadway operational performance and to support traffic management and traffic engineering planning aimed at improving road network performance and reducing congestion.

Brake discs are one of the motorcycle spare parts that function to connect and reduce speed when the motorbike is moving, although very simple, this spare part is part of the braking system and has a very important role, without braking it will endanger the driver and other road users. To determine the hardness of the motorcycle brake disc on two original brake discs and variation brake discs on the Yamaha Vision sport motorbike by conducting Rockwell hardness tests on the original and variation brake discs with 10 test variable points. The results obtained for the average value at the level of hardness on the original disc sample are 55.1 HRC and the average value on the variation disc sample is 44.6 HRC, and the conversion hardness value from the Rockwell test. For Brinell testing and tensile testing from the results of Rockwell hardness testing, the average Brinell and tensile test values ​​were converted from the test site with the average Brinell conversion results for the original disc being 575 HBS, while the average variation disc value was 417.1 HBS, the conversion tensile test value with the results on the original disc was 1626 N/mm² and the variation disc was 1427 N/mm² with 10 variable point Rockwell testing and the conversion value of the Brinell hardness test and the original disc tensile test value was still greater than the variation disc tensile test value.

Automatic motorcycle spare part sales have increased along with the high use of automatic two-wheeled vehicles in the community. To support optimal sales strategies and stock management, customer purchasing pattern analysis is required. This study uses the FP-Growth algorithm to identify association patterns between automatic motorcycle spare part products that are frequently purchased together. FP-Growth was chosen because of its ability to efficiently find frequent itemsets without the need to generate candidate itemsets as in the Apriori algorithm. Transaction data is processed to form an FP-Tree which is then extracted to find relationships between items. The analysis results show combinations of products that frequently appear together, such as brake pads and engine oil, which can be used as a basis for compiling sales packages, product placement, and product recommendations. By implementing the FP-Growth algorithm, spare part stores or workshops can improve service and efficiency in sales management.

Vocational education requires a practice-based learning process supported by complete facilities so that students can master work competencies optimally. However, the condition of the Motorcycle Engineering workshop at Noemuti State Vocational High School shows that the completeness of the disc brake system practice facilities does not meet the ideal ratio standards, which affects the effectiveness of learning. This incompleteness has an impact on the low achievement of students' practical learning outcomes that have not reached the KKM. This study aims to describe the level of completeness of workshop facilities and the results of the disc brake system practice learning, and to determine whether there is a relationship between the two. The research approach uses a quantitative correlational method with a total sampling of 26 students. Data were obtained through observation, questionnaires, and documentation, then analyzed using descriptive statistics, normality tests, linearity tests, Pearson correlations, and coefficients of determination using SPSS 27. The results showed that the average completeness of workshop facilities was 42.27 and the results of practical learning were 42.81, both of which were in the good category. The Pearson correlation test produced a value of r = 0.960 with a significance of 0.000 (<0.05), indicating a very strong and significant relationship. The coefficient of determination (R² = 0.92) shows that 92% of the variation in practical learning outcomes is influenced by the completeness of workshop facilities. The more complete the workshop facilities, the higher the students' practical learning outcomes.

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.

Motorcycle communities not only function as a platform for hobbies but also as a medium for shaping identity and image within society. In this context, the role of Public Relations is crucial in maintaining reputation and building positive relationships with the public. A strong brand image helps the community sustain its existence while countering the negative stigma often associated with motorcycle groups. This study aims to explore and analyze the Public Relations planning of Biker Jowo Depok in maintaining its brand image, using the RPACE model (Research, Planning, Action and Communication, Evaluation) by Cutlip & Center (2017). The theoretical framework of this research refers to the concept of Public Relations planning by Cutlip & Center. The method used is qualitative descriptive, with data collection techniques including in-depth interviews, secondary data from the website and Instagram, as well as documentation. Data validity was tested through source triangulation involving the public and community members. The results show that Biker Jowo Depok implements all four dimensions of Public Relations planning according to the RPACE model. The community utilizes social media and various offline activities to build a positive image based on Javanese cultural values, such as togetherness (guyub), social awareness (tanggap), and cultural preservation (nguri-uri). Evaluation is carried out periodically through social media engagement analysis and feedback from members. The main challenges faced include negative stereotypes toward motorcycle communities and competition with other groups. However, through adaptive and collaborative Public Relations strategies, Biker Jowo Depok has succeeded in maintaining its image as a professional, culturally-rooted, and socially conscious community.

This study aims to analyze the effectiveness of Maxim online motorcycle taxi services for students of MAN 4 Pekanbaru City in meeting their daily mobility needs. The location of MAN 4 Pekanbaru City on Jalan Yos Sudarso, one of the routes with a fairly high intensity of large vehicle activity, demands the availability of transportation services that can provide certainty of time, comfort, and safety for students. In this context, the existence of online motorcycle taxis is a relevant transportation alternative in today's digital era. This study uses a descriptive qualitative approach with the aim of describing in depth the experiences, perceptions, and assessments of students' assessments of the quality of Maxim online motorcycle taxi services. Data collection techniques were carried out through interviews with several students of MAN 4 Pekanbaru City who actively use the service in their daily activities, especially for going to and from school. The results of the study indicate that Maxim online motorcycle taxi services are considered quite effective in supporting student mobility, especially in terms of ease of access, time efficiency, and relatively affordable costs compared to other modes of transportation. In addition, the use of digital-based applications provides ease in ordering and transparency of fares. However, the aspects of safety and comfort remain a primary concern for students. Therefore, it is recommended that students use official online motorcycle taxi (ojek) applications to minimize the risk of fraud and other undesirable incidents. Overall, the Maxim online motorcycle taxi service serves as a transportation solution that supports students' mobility needs in urban environments.

Progressive wear on drive belt components, brake lining thickness, double lining bowl and other components of continuously variable transmission (CVT) on 160 cm3 automatic motorcycles are the problems faced. The purpose of component replacement planning is to obtain maintenance costs in 2026 and maintenance to profit ratio. The component replacement planning method includes collecting previous maintenance data, applying the inspection-replace-repair-overhaul (IRRO) method, evaluating component conditions, predicting component lifespan, predicting labor costs, predicting supporting equipment and supporting materials to be used in maintenance, predicting spare part replacement time, predicting maintenance costs in 2026, and calculating the maintenance cost to profit ratio. The results of component replacement planning obtained maintenance costs in 2026 are IDR 8.151.667,- with an estimated rental rate for Automatic Motorcycles of IDR 12,500/hour which has the potential to be rented for 3960 hours/year, and the ratio of maintenance costs to profits is 16.4% which implies that the 160 cm3 Automatic Motorcycle which was first used in 2021 is still prospective to generate profits and is suitable for use in the coming years.

The problem lies in the difficulty of locking the pulley retainer on automatic motorcycle transmissions without using a special Y-shaped key. The purpose of the study is to obtain a special pulley retainer lock product on automatic motorcycle transmissions that can be adjusted the distance between the two retaining pins through adjusting bolts with easy and effective locking steps. The study method includes the design of the pulley retainer lock component formation, the selection of stainless steel pulley retainer lock materials, the production of pulley retainer lock components through flat and curved forging, turning the handle, forming a Y-shaped lever pair plate, drilling 2 holes at the ends of the lever, drilling the Y-shaped auxiliary tool opening and closing pins, and drilling the Y-shaped auxiliary tool opening distance adjustment bolts, assembling the components that form the pulley retainer lock, and testing the use of the pulley retainer lock. The production results are in the form of a special pulley archery key with a total length of 300 mm, the maximum opening distance on the axis of 2 pens is 110 mm, the length of 2 pen tips is 7 mm with a total pen length of 30 mm, and one diameter is 9 mm with a total pen length of 30 mm, the adjusting bolt for the opening angle of the pulley retaining key measures M6x20 mm, and the diameter of the Y-shaped tool rivet pen used is 6 mm.

Café retrorika is one of the cafes located in Batu City, Malang, which adopts a green marketing concept with a unique aesthetic touch, combining the concepts of “Retro” and “Eco-friendly”, where almost all of the café’s furniture and decorations are made from recycled materials, such as old windows, used motorcycle tanks, gas cylinders and rims, which are transformed into high-art decorative elements. Awareness of the importance of sustainable business is growing, including in the culinary sector. Cafes and restaurants now compete not only in terms of taste and service but also in their commitment to environmentally friendly concepts. Moreover, today’s consumers are increasingly selective in choosing places to eat that support local products, use environmentally friendly materials, and strive to reduce plastic waste. This is one of the reasons for building cafes with different concepts, as done by the owner and founder of Retrorika café. This study uses a qualitative approach with a case study research type. Data collection techniques include participant observation, interviews and documentation. The result show that Retrorika café was built based on the personal idealism of its owner as a green movement activist, rather than market calculations. The café’s “Retro” identity serves as physical evidence of sustainability practice through the use of used furniture while also creating a nostalgic experience. Its marketing strategy focuses on education through the Re-dukaci program, Retrorika goes to Halokes and Sa-Si-Su as an effort to prove the authenticity of green practices and mitigate greenwashing. These results can be concluded that the founder’s passion shapes the Green Corporate Identity and becomes a source of sustainable competitive advantage that is difficult to imitate.

In January 2025, automatic motorcycles recorded a fantastic market share of 93.75% of total sales. This figure confirms Indonesian consumers' preference for the practicality and comfort offered by automatic motorcycles. This trend shows a shift in consumer interest, with consumers now preferring automatic motorcycles for their daily mobility needs over manual motorcycles. The purchase decision is a stage in the decision-making process until the consumer actually buys the product. Based on the background of the research through interviews, the researcher found that sales of Honda Beat motorcycles at the Taruna Adi Prima branch in Pati city fluctuated annually. Based on this background, the researcher was interested in determining the influence of price, product quality, and brand image on purchasing decisions. The number of respondents was 100 who had purchased Honda Beat motorcycles at the Taruna Adi Prima branch in Pati City, which became the sample for this quantitative study. Based on the research results, the price variable did not have an influence on purchasing decisions, but product quality had a positive and significant influence, and brand image also had a positive and significant influence with a significance value (sig) of 0.000 < 0.05.

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 identify the business strategies implemented by used motorcycle showrooms and to examine their impact on the income generated. The research focuses on four used motorcycle showrooms located on Jalan Panglima, Kuala Tungkal, Tanjung Jabung Barat Regency. The intense competition in a concentrated area encourages each showroom to adopt appropriate strategies to remain competitive and sustain stable income. This research uses a qualitative approach with a comparative study method. Data were collected through observation, in-depth interviews, and documentation. Data analysis was carried out using the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing. The results show that each showroom implements different business strategies based on their internal strengths and market characteristics. Showrooms that combine the marketing mix (7P) with good service approaches tend to earn higher income. Additionally, Islamic business values such as honesty, transparency, and trustworthy service contribute to the effectiveness of the strategies applied.

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.

This study was conducted with the aim of analyzing the difference invehicle traffic volume in the morning and afternoon on the Moch.Sruji-Jalan PB.Sudirman road section in Jember Regency. The survey was conducted through field observationby directly recording vehicle volume at 15-minute intervalsminutes, covering four categories of vehicles: heavy vehicles, light vehicles, motorcycles, and non-motorized vehicles. The data obtained was analyzedusing a quantitative approach assisted by the SPSS application, including a normality testand a mean difference test to determine the significance of the difference invehicle volume between the two observation times. Descriptively, traffic flowin the morning had a higher volume, especially during peak hoursaround 06.00-08.00 with a total of 450-500 vehicles, whilein the afternoon it was in the range of 250-350 vehicles. In addition, motorcycleswere the most dominant type of vehicle in traffic flow compared toother vehicle categories. The conclusion of this study is that the pattern ofcommunity activity, which is more intense in the morning, makes this perioda peak hour with the potential to cause congestion. The results of this studyare expected to be taken into consideration in the formulation of targeted traffic engineering policiesin the study area.

This study aims to analyze the difference in the volume of motorcycle traffic in the morning and evening on Jalan Dahlia which leads from the Square. The data was collected through direct observation methods during a specific period during morning and evening rush hours, then analyzed to determine vehicle flow patterns, traffic density levels, and significant differences between the two time periods. In addition, this study also considers supporting factors such as community activities, working hours, and daily travel patterns of road users that affect traffic intensity. The results of the study showed that there was a significant difference in vehicle volume, where the volume of motorcycles in the morning tended to be higher than in the afternoon due to the dominance of trips to work and school. On the other hand, in the afternoon the traffic volume is relatively more spread due to variations in the return time of road users. These findings are expected to be a reference for related parties, especially local governments and transportation agencies, in traffic management planning, transportation operational timing, and efforts to improve the safety and comfort of road users in the area.

Indonesia is one of the countries with abundant availability of palm fiber composite, yet its application in advanced material technology remains limited. On the other hand, most motorcycle helmets available in the market are made from ABS plastic, which has limitations in impact energy absorption and may increase the risk of head injuries during accidents. This study aims to develop helmet composites based on palm fiber and epoxy resin by varying the fiber volume fractions (15%, 25%, and 35%) and alkali soaking durations (75, 150, 225, and 300 minutes). The impact strength test results showed that the combination of 35% fiber volume and 225-minute alkali soaking produced the highest specific impact energy (SIP) of 0.142 J/mm². As a comparison, SNI-compliant helmets made from ABS plastic only reached an EPS value of 0.00972 J/mm², indicating that palm fiber-based composite helmets could improve impact energy absorption efficiency by more than 14 times. The results conclude that increasing the fiber volume fraction and optimizing the alkali treatment duration significantly enhances the impact resistance, making ijuk-based composite helmets a promising alternative for safer and more eco-friendly protective gear.