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This study aims to design a web-based information system for vehicle management and monitoring at Bengkel Merdeka Motor, which previously relied on manual recording processes. Manual data management caused several problems, including data loss, inaccurate records, difficulties in monitoring service progress, and delays in report generation. This research applies the Object-Oriented Analysis and Design (OOAD) method supported by Unified Modeling Language (UML) to analyze system requirements and design the proposed system. The research methodology includes requirements analysis, analysis of existing and proposed systems, system design, and user interface design. The proposed system integrates vehicle data management, service offers, work orders (SPK), service progress monitoring, invoice generation, and automatic monthly reporting into a single web-based platform. The results show that the designed system improves data accuracy, operational efficiency, and transparency of service information. In addition, real-time monitoring features support better coordination between administrators and mechanics. The implementation of this system is expected to enhance service quality, reduce administrative errors, and support managerial decision-making at Bengkel Merdeka Motor.

Advances in information technology have led to digital transformation in various business sectors, including small businesses such as campus canteens. Currently, the Basement 40 Canteen at Pamulang University still uses manual methods for menu selection and order analysis, which causes a number of problems, including poor service, difficulties in the recording process, and a lack of transparency in the workplace. The purpose of this study is to develop a web-based application that uses the Kanban method to improve operational efficiency and create clearer work processes. The methodology used is descriptive qualitative with Agile system development based on the Kanban methodology. Direct observation, interviews with canteen managers, and document analysis were used to collect data. The implementation of Kanban involves the use of visuals to display the work process in three stages: "To Do, Doing, and Done" calculating the amount of work in progress (WIP), and continuously making adjustments. The findings of the study indicate that the application created facilitates menu selection, simplifies order status monitoring, and reduces difficulties in the delivery process. The results of the evaluation regarding the use of the system indicate that this system is easy to use and can improve work effectiveness and efficiency. This research is expected to provide a practical overview of the campus digitalization process and enhance academic understanding of the application of Agile methods in small-scale business information systems.

The challenges faced by MSMEs in Indonesia, especially in Surabaya, often revolve around business management, finance, and taxation. One potential solution is the integration of the Business Model Canvas (BMC) with financial and tax strategies, which can help MSMEs streamline their operations. The Business Model Canvas (BMC) training program is designed to assist MSMEs in reorganizing their business models and implementing new strategies that address key operational challenges. This program also incorporates financial and tax considerations, helping MSMEs manage their finances more effectively and comply with tax regulations. With this approach, MSMEs are expected to improve their operational efficiency, enhance tax compliance, and strengthen their competitive edge in the market. The method involves direct engagement with MSMEs through hands-on workshops and personalized mentoring sessions. This initiative is set to take place in May 2025, offering MSMEs valuable tools to enhance their business practices, optimize financial management, and foster long-term growth and success in the market.

This study aims to analyze the role of internet technology in enhancing the competitiveness of ebusiness in Indonesia, particularly in the sector of small and medium enterprises (SMEs). Based on theoretical reviews, internet technology, e-business, technology adoption (TAM), and the concept of competitiveness serve as the main foundations for understanding the ongoing digital transformation. The research employed a descriptive qualitative method with a purposive sampling technique, involving five informants consisting of digital SME owners, online store managers, and users of service platforms. Data were collected through interviews and observations, then analyzed using the Miles and Huberman model through the stages of data reduction, data presentation, and conclusion drawing. The findings reveal that the internet plays a crucial role as an essential infrastructure that enhances marketing effectiveness, expands market reach, and improves operational efficiency. Marketplaces, social media, and delivery-service platforms contribute significantly to sales growth and service quality. However, challenges such as low digital literacy, platform commission fees, changes in social media algorithms, and uneven infrastructure development still limit optimal utilization. From a policy perspective, the study recommends strengthening digital infrastructure and improving national digital literacy. This research emphasizes that the success of e-business depends on technology access, human resource competence, and support through public policy. It can be concluded that internet technology serves as a vital foundation for e-business competitiveness in the digital era.

This research investigates the development of integrated operational systems connecting terminal and ship operations for docking and berthing time optimization through systematic analysis of historical data. Port efficiency depends critically on minimizing vessel turnaround time, with berth allocation, docking procedures, and cargo operations coordination determining overall port productivity and competitiveness. Through qualitative analysis involving port operators, terminal managers, ship agents, harbor masters, and operations research specialists, this study examines how historical operational data can inform intelligent coordination systems improving berthing efficiency. Results demonstrate that data-driven integration systems incorporating predictive analytics, automated scheduling, and coordinated workflows can reduce average berth turnaround time by 15-30%, improve berth utilization by 20-35%, and decrease operational conflicts by 40-60% through optimized allocation and proactive coordination. Key implementation challenges include data quality and availability, system integration complexity, organizational coordination barriers, and resistance to automated decision support. Findings reveal that historical data-based optimization represents transformative advancement from experience-based scheduling to evidence-driven operational planning supporting port efficiency enhancement, capacity maximization, and service reliability improvement. This research contributes to port operations literature by providing practical frameworks for data-driven berthing optimization applicable to diverse port operational contexts.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.

This community service activity was conducted at PT Danny Karya Sukses, a newly established distribution company specializing in stainless steel kitchen equipment in Batam City, which faced challenges in managing inventory due to the use of manual recording systems and the absence of standardized operational procedures. These conditions led to a high risk of data inaccuracies, stock discrepancies, and inefficiencies in operational coordination. The objective of this program was to design and implement a standardized Inventory Standard Operating Procedure (SOP) integrated with a digital inventory management system using Zoho Inventory. The methods employed included interviews, field observations, documentation studies, and literature reviews to identify operational needs and design appropriate solutions. The implementation process involved SOP development, system configuration, employee training, and operational assistance. The findings indicate significant improvements in inventory accuracy, real-time stock monitoring, work efficiency, and interdepartmental coordination between administration, warehouse, and sales divisions. The adoption of Zoho Inventory reduced manual errors, accelerated stock reporting, and strengthened internal control mechanisms. The implications of this activity demonstrate that the integration of digital inventory systems with clear SOPs can serve as a strong operational foundation for newly established distribution companies, supporting sustainable business growth and enhanced competitiveness.

Traditional snack micro, small, and medium enterprises (MSMEs) in Indonesia face increasing market competition and rapidly changing consumer preferences, particularly among younger consumers seeking innovative and symbolic food experiences. This community engagement study aims to strengthen the profitability and sustainability of traditional snack MSMEs by integrating local flavor innovation with simple business governance practices. Using a participatory action research approach under the Merdeka Belajar Kampus Merdeka (MBKM) program in Palangka Raya, this study involved co-creation between students and local entrepreneurs in product development, production standardization, and basic financial management. Qualitative data were collected through participatory observation and stakeholder discussions, while quantitative data were obtained from sales records and simple financial reports. The results demonstrate that local flavor-based innovation, combined with standardized operating procedures and cost control mechanisms, improved product differentiation, operational efficiency, and financial performance. The intervention generated a positive net profit and strengthened the partner’s capacity for independent business management. This study contributes to the literature by positioning traditional food MSMEs as sites of cultural innovation and micro-governance, while supporting Sustainable Development Goals related to inclusive economic growth, cultural preservation, and responsible production.

This study aims to determine the impact of Financial Technology (Fintech) and digital banking on the overall performance of conventional banking institutions in Indonesia. This research employs a qualitative approach using a comprehensive literature review as its primary method. Data analysis in this study was conducted through an extensive review of various sources, including books, peer-reviewed journal articles, research reports, official websites, newspapers, and magazines, to obtain a holistic understanding of the topic. The results of this study indicate that both Fintech and digital banking significantly affect the performance of conventional banks in Indonesia. Specifically, the effect of Fintech on conventional banking is reflected in a decrease in traditional banking profitability, because Fintech platforms provide alternative channels and competition in credit distribution and financial services. Meanwhile, the effect of digital banking on conventional banking includes improvements in operational efficiency, wider service accessibility for customers, and noticeable changes in customer behavior and expectations. These findings suggest that conventional banks must adapt strategically to remain competitive in the evolving financial ecosystem.

Engine performance is a critical parameter in automotive engineering as it directly affects power output, torque characteristics, and overall vehicle efficiency. One of the components that significantly influences engine performance is the exhaust system, which regulates exhaust gas flow and back pressure. This study aims to experimentally analyze the effect of replacing a standard exhaust system with an aftermarket exhaust system on the performance of a 2NR-VE engine. The research employed an experimental method using a comparative design with two testing conditions: a factory-standard exhaust system and an aftermarket exhaust system. Engine performance testing was conducted using a dynamometer (dyno test) to measure horsepower and torque across various engine speed ranges (RPM). Each testing condition was performed repeatedly, and the resulting data were averaged to reduce measurement errors and minimize the influence of operational fluctuations. The experimental results indicate that the aftermarket exhaust system significantly improves engine performance. The maximum power increased from 82.5 HP to 91.6 HP, while the maximum torque rose from 131.2 Nm to 154.4 Nm. These improvements suggest that the aftermarket exhaust configuration effectively reduces exhaust back pressure and enhances exhaust gas flow efficiency. Therefore, replacing the exhaust system can be considered an effective approach to improving engine performance, provided that the modification is technically appropriate and complies with applicable emission and noise regulations.

Odoo training at PT Tamaddun Inti Perkasa aims to improve existing business processes within the company through process integration, data transparency, and operational efficiency. Odoo implementation can improve the Company's operational efficiency and also increase HR capacity through mentoring and training to acquire digital skills relevant to the development of Industry 4.0. The training was conducted through participatory practices to improve digital skills through real company data. The training stages included identifying company problems, general socialization of Odoo usage, training, mentoring, evaluation, and feedback. The training participants consisted of 9 people from several departments and was held on December 8, 2025. A pre-training questionnaire proved that the company's employees are aware of the importance of integrated data management. This training activity successfully improved digital competency through the use of Odoo and respondents agreed that using Odoo can help simplify their work. The use of a flexible integrated system according to company needs such as Odoo is one solution. The use of six modules: Manufacturing, Inventory, Sales, Purchasing, Accounting, and Point of Sales (POS) is considered very important and must be understood by the company as a starting point for further development.

This study aims to develop a web-based inventory information system to facilitate inventory data management and improve operational efficiency at Toko Anugerah Sticker. Currently, inventory management is still performed manually using paper, which complicates monitoring stock, recording incoming and outgoing items, and preparing reports accurately and promptly. To address these issues, the system was developed using the Waterfall method, consisting of five stages: requirement, design, implementation, verification, and maintenance. PHP was employed as the programming language for system development, while MySQL served as the database for storing inventory data. The system was tested using Blackbox testing to unsure that each function worked as expected. The result show that the web-based inventory information system successfully replaced the manual process, making inventory management more effective and efficient. It also enables real-time stock monitoring and generates reports faster and more accurately. The implementation of this system is expected to improve the quality of inventory data management at Toko Anugerah Sticker in the future.

This study analyzes and designs a dual-role web-based ordering information system to optimize order management at Sunrise Bakery. This SME currently faces inefficiencies due to manual recording. The system, developed using the SDLC Waterfall method with PHP and MySQL, serves two main actors: customers, who can order online, browse catalogs, track orders, and pay digitally; and administrators (admin, cashier, owner), who manage products, update stock, input in-store orders, generate daily/monthly sales reports, and manage user access. Black Box Testing confirms all core functions work correctly. The system successfully addresses manual process shortcomings by improving data accuracy and providing real-time monitoring for both customers and management. It offers a comprehensive digital solution to enhance operational efficiency and service quality. Limitations include the lack of integrated digital payment gateways and external messaging. Future development should incorporate payment gateways (e.g., OVO, GoPay), WhatsApp notifications, a mobile application, and predictive analytics for sales and stock forecasting.

Kopirates Maumere is a local micro, small, and medium enterprise (MSME) engaged in the processing and marketing of specialty coffee products from Sikka Regency. This study aims to analyze the management strategies implemented by the MSME based on interviews with the business owner. The research focuses on product strategy, marketing, operations, business development, and the challenges faced in running the MSME amid increasingly competitive market conditions. The research method employs a descriptive qualitative approach through in-depth interviews and direct observation. The results indicate that Kopirates Maumere applies a product differentiation strategy by highlighting the quality of local coffee, supported by increasingly developed digital marketing. The MSME also strives for operational efficiency despite facing challenges related to limited capital and production equipment. This study concludes that adaptive management strategies based on local potential are crucial for maintaining MSME sustainability. Furthermore, improved managerial capacity along with support from the government and local communities is needed to strengthen the MSME’s position in a broader market.

Distribution transformers play a critical role in delivering electrical energy from medium-voltage networks to low-voltage consumers. At ULP Medan Kota, several distribution transformers have been operating with loads exceeding 80% of their nominal capacity, posing risks of overloading, efficiency reduction, and equipment failure. This study aims to analyze the performance of distribution transformers based on actual load data and evaluate mitigation strategies through the implementation of additional parallel transformers (trafo sisip). The methodology includes data collection, load and current calculation, and simulation of load distribution after transformer insertion. The results show that the installation of trafo sisip reduces the load on the main transformer by approximately 50% and significantly lowers the current to safer levels. Moreover, placing the trafo sisip at an optimal position minimizes voltage drop to as low as 0.0745 Volts. Therefore, the addition of trafo sisip is proven to enhance the reliability, efficiency, and operational life of the power distribution system at ULP Medan Kota.

Distribution transformers play a crucial role in delivering electrical energy from the distribution system to consumers to ensure power quality and supply continuity. However, in practice, overload conditions often occur due to increasing demand and load growth that exceed the transformer’s rated capacity. This situation can lead to reduced efficiency, increased power losses, and accelerated equipment aging. This study aims to analyze the performance of the CMY distribution transformer at PT PLN (Persero) ULP Labuan, which operates beyond its nominal capacity, and to propose an alternative solution through transformer mutation, namely the replacement of the existing unit with a transformer of more appropriate capacity based on load analysis results. The Least Square Method is employed to predict future load growth and determine the projected time when the transformer will again experience overload after the mutation. The results indicate that the existing 100 kVA transformer is overloaded and should be replaced with a 160 kVA unit. After the mutation, the loading percentage decreases significantly, the transformer’s lifespan is extended, and the reliability of the distribution system improves. Furthermore, the Least Square prediction suggests that the new transformer may experience overload again in future years if no further planning is carried out. Therefore, transformer mutation can be considered an effective and medium-term solution to enhance and maintain the reliability of the electrical distribution system within the operational area of PT PLN (Persero) ULP Labuan.

This study addresses the urgent need for digital transformation at Percetakan Rajawali, a printing company currently reliant on manual order processes, which leads to service delays, recording errors, and lack of transparency. The research aims to design and implement a web-based online ordering information system to facilitate customer orders, accelerate confirmation and order tracking, and improve the efficiency of order data management. Adopting the linear and sequential Waterfall methodology, the study progressed through stages of system analysis, design, coding, testing, and maintenance. The key findings include the successful design of a comprehensive system featuring product catalogs, an online ordering module with real-time cost calculation, integrated payment management, and an admin dashboard for order processing. The system is designed with user-centered and secure principles, expected to significantly enhance operational efficiency, service speed, and customer satisfaction by providing an integrated, transparent, and accessible online ordering platform.

Mining sequence design is one of the important stages in open pit mining activities that aims to organize the excavation stages so that production activities run effectively, efficiently, and in accordance with the established targets. This research was conducted at PT Putra Perkasa Abadi Site SKS with the aim of designing a mining sequence in January and February 2025. The methods used include analysis of topographic data, geology, pit design, and monthly production targets. The data was processed using mining software to determine the excavation sequence based on elevation, overburden volume, and coal reserves. The design results show that the total planned overburden and coal volume is able to meet the company's production targets by considering slope stability and the efficiency of digging and loading equipment. In addition, the resulting sequence design also takes into account aspects of work safety and field operational conditions, such as mine road access and drainage systems. With a structured design, it is expected that mining activities during this period can run according to schedule, minimize operational obstacles, and support the achievement of production targets and cost efficiency at PT Putra Perkasa Abadi Site SKS.

Energy efficiency in water heaters is a crucial factor in ship operational environments due to limited electricity resources that rely on generators. This study aims to design and build an IoT-based water heater monitoring system with an innovative heat storage medium in the form of a mixture of silica sand and paraffin wax to improve thermal efficiency. Although previous studies have developed temperature monitoring and control systems in IoT-based water heaters, this study specifically fills this gap by analyzing the performance of adding silica sand to overcome the low thermal conductivity of paraffin wax. Using the Research and Development (R&D) method, this system was built with an ESP32 microcontroller as the control center, a DS18B20 temperature sensor for accurate measurements, and the Blynk and Google Sheets platforms for real-time monitoring and data recording. Performance testing was conducted by comparing the water heating rate between pure paraffin wax media and the mixed media. The results showed that the monitoring system functioned reliably, and the main finding proved that the addition of silica sand to paraffin wax significantly increased heating efficiency. This was clearly seen from the reduction in time required to raise the water temperature to 40°C, from 2.5 hours to only 1 hour in the second heating cycle. The results of this study indicate that the integration of silica sand and paraffin wax media with IoT technology can increase the efficiency of water heaters and provide an innovative solution for energy-efficient and environmentally friendly temperature control.

The rapid growth of e-commerce has increased the strategic role of freight forwarding and delivery service companies in maintaining the efficiency of supply chains. However, the increasing complexity of delivery processes also raises various operational risks, such as package damage, loss, delivery delays, and distribution errors. This study aims to analyze the implementation of risk management in freight forwarding companies operating in Brebes Regency and to assess the effectiveness of the risk management practices applied. This research employs a descriptive qualitative approach, with data collected through in-depth interviews, observations, documentation, and questionnaires. Informants were selected using purposive sampling, involving company management, operational staff, couriers, and customer service personnel. Data analysis was conducted using the Miles and Huberman interactive model and supported by average risk score analysis. The results show that most aspects of risk management fall into the high and very good categories, with an overall average score of 3.89. This indicates that the company has implemented risk management effectively, particularly in incident evaluation, risk measurement, and cooperation with insurance providers. Nevertheless, improvements are still needed in reducing the frequency of operational risks and enhancing the use of digital technology for risk monitoring to ensure a more comprehensive and sustainable risk management system.