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In supporting the progress of an airport, there needs to be infrastructure development and expansion, such as airside expansion. Sultan Muhammad Kaharuddin III Airport has expanded its airside such as runway, taxiway, and apron. The expansion of the airside aims to increase flight capacity, improve flight operational safety, improve flight operational efficiency, and support tourism in Sumbawa Besar. This study uses a qualitative research method with primary data collection through interviews and observations, as well as secondary data through documents related to airside expansion. Data analysis techniques use data collection, data reduction, data presentation, and drawing conclusions. This study was conducted at Sultan Muhammad Kaharuddin III Airport. The results of the study show that there is an expansion of the airside at Sultan Muhammad Kaharuddin III Airport, such as the runway, taxiway, and apron which has been carried out in several years. This airside expansion has a positive impact on flight operations. Where the impact is an increase in the number of passengers, increasing flight capacity and adding flight routes, as well as increasing flight security and safety at Sultan Muhammad Kaharuddin III Airport..

This research was designed using Unified Modeling Language (UML) as a tool for visualizing system requirements. The system designed is expected to improve efficiency, accuracy and speed of service, thereby providing a better experience for customers and making it easier for Bank Sumut officers to manage registration data. The system development method used is waterfall. The research results show that the designed information system can automate various manual processes such as collecting prospective customer data, document validation, and managing account data. It is hoped that this management information system can be used to provide an overview of the applications that will be created to increase the Bank's operational productivity and minimize the potential for administrative errors, as well as supporting the digital transformation of Bank North Sumatra in facing competition in the banking sector.

Travel insurance provides financial protection for individuals during their trips, both domestically and internationally. With the increasing demand for travel insurance, insurance companies face challenges in efficiently managing claims. This study aims to develop a predictive model to classify whether an insurance policy will be claimed based on historical customer and transaction data. This research utilizes a dataset containing various features related to travel and policyholders, such as agent type, distribution channel, insurance product, travel duration, and premium amount. The methods used include data exploration, feature processing, and the application of machine learning algorithms such as Logistic Regression, Random Forest, and XGBoost. Experimental results indicate that the XGBoost model performs the best, achieving the highest accuracy compared to other models. With this predictive model, insurance companies can optimize claim evaluation processes, reduce fraud risks, and improve operational efficiency in handling travel insurance claims.

Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings reveal that XGBoost model outperforms other models, achieving F2-score of 0.7897. Key influencing factors include deposit type, total number of special requests, and marketing segment. The results underscore the potential of predictive modeling in optimizing hotel revenue strategies by enabling proactive measures such as dynamic pricing, targeted customer engagement, and improved overbooking policies. This study contributes to the ongoing advancements in data-driven decision-making within the hospitality industry, offering insights into how machine learning can mitigate financial risks associated with booking cancellations.

The increasing complexity of naval electrical systems and the demand for higher operational reliability necessitate a shift from traditional maintenance methods to data-driven predictive maintenance solutions. This research examines the effectiveness of IoT-based remote monitoring and diagnostic systems in improving system reliability, cost-efficiency, and operational sustainability in naval engineering. A qualitative-empirical approach was applied, utilizing expert interviews, structured surveys, and field observations to assess the impact of IoT-driven predictive maintenance. The findings indicate a significant reduction in system failures (92/100), maintenance costs (89/100), and operational downtime, demonstrating the effectiveness of real-time fault detection and automated diagnostics. Additionally, the study identifies challenges in infrastructure readiness (78/100) and cybersecurity concerns (82/100), which must be addressed for large-scale implementation. While the adoption rate (88/100) reflects strong industry support, skill readiness gaps (80/100) suggest a need for enhanced technical training in maritime education. The research concludes that IoT-based predictive maintenance offers a transformative approach to naval maintenance strategies, ensuring sustainability, efficiency, and enhanced fleet readiness in modern maritime operations.

Optimizing distribution routes is an important step for MSMEs in increasing operational efficiency and customer satisfaction. This research was conducted on Bolen Crispy Mak Tin MSMEs which face distribution challenges with routes that are not yet optimal, causing increased transportation costs and the risk of decreasing product quality. This research uses the Branch and Bound and Nearest Neighbor algorithms to solve the Traveling Salesman Problem (TSP) problem in determining efficient distribution routes. The results of data processing are optimal routes that have the minimum distance with a total distance of 282.5 KM with route P-1-2-7-4-5-6-3-0 for the branch and Bound algorithm and 239 km with route P- 2-3-4-5-6-7-1-P for Nearest Neighbor This result is more optimal when compared to the previous route, namely P-1-2-3-4-5-6-7-P with a distance of 291 km analysis shows that Method Nearest Neighbor is able to provide an optimal solution by minimizing travel distance and distribution costs, while the Branch and Bound algorithm also provides an optimal solution but is less efficient. and distribution cost efficiency from Rp. 570,320.9 to 565,511.36 or 0.84% ​​more savings for the Branch and Bound Algorithm and 540,795.45 or 5.18% more savings for Nearest Neighbor

This study discusses the comparison of efficiency between Pulse Width Modulation (PWM) and Variable Frequency Drive (VFD) techniques in electric motor control. The background of this research is based on the importance of energy efficiency in industrial applications using electric motors. The aim of this study is to identify the advantages and disadvantages of each method in the context of energy savings and motor performance. The method used is a quasi-experimental design, where both techniques are tested on the same three-phase induction motor to compare power consumption and operational efficiency. The findings indicate that the use of VFD is significantly more efficient in reducing power consumption compared to PWM and provides better torque stability in the motor. The implications of this research suggest that the application of VFD can enhance energy efficiency and reduce operational costs, which is crucial for industries. This study is expected to serve as a reference for further development in electric motor control technology.

North Kalimantan Province as one of the regions is required to prioritize capital expenditure to support community economic activities. The Budget Realization Report (LRA) as a form of government accountability in managing finances shows priorities on government operational expenditures. The purpose of this study is to examine the financial performance of the Regional Government of North Kalimantan Province for Fiscal Year 2018 – 2022 using 5 data analysis tools consisting of: 1) Regional Financial Independence Ratio, 2) Growth Ratio, 3) Regional Original Revenue Effectiveness Ratio, 4) Regional Financial Efficiency Ratio, and 5) Compatibility Ratio. This research includes quantitative research with a descriptive approach derived from secondary data, namely the North Kalimantan Provincial Government Budget Realization Report 2018 – 2022. The results of the study using the ratio of regional financial independence showed the value of independence classified as consultancy

I Gusti Ngurah Rai International Airport – Bali is one of the airports with the busiest flight traffic in Indonesia, for both domestic and international routes. The high intensity of operational activities on the airside demands optimal management of all supporting elements, one of which is Ground Support Equipment (GSE). GSE plays a vital role in supporting aircraft movements and handling baggage, cargo, and passengers. Therefore, the provision of well-organized Equipment Parking Area (EPA) facilities in the Make Up and Break Down areas is crucial to ensure smooth and safe operations on the apron. This paper aims to examine the effectiveness of EPA provision and management in supporting GSE work efficiency, while identifying challenges and providing solutions to various emerging problems. The method used is a descriptive qualitative approach through direct observation, field documentation, and analysis of the actual layout compared to the provisions of the Directorate General of Civil Aviation Regulation No. PR 21 of 2023 concerning Technical and Operational Standards for Civil Aviation Safety Regulations. This research also complements EPA management practices at other airports in Indonesia, to provide a constructive comparative perspective. The study results indicate that the current management of the EPA at I Gusti Ngurah Rai Airport is not optimal. The main problems identified include irregular parking of GSE vehicles, the absence of zoning based on vehicle type, minimal markings, and a weak monitoring system due to limited personnel. As a result, congestion often occurs on GSE operational routes, which can disrupt the smooth operation of ground handling services. Based on these findings, proposed improvements include redesigning the EPA layout based on vehicle classification, installing signs and vehicle flow maps in strategic areas, and implementing an integrated technology-based monitoring system such as CCTV and digital access control.

This research examines the financial performance of PT Astra International Tbk during the period 2020-2023 through comprehensive profitability ratio analysis. The study employs multiple financial metrics including Return on Assets (ROA), Return on Equity (ROE), Net Profit Margin (NPM), Gross Profit Margin (GPM), and Operating Profit Margin (OPM) to evaluate the company's operational efficiency and profitability. Through quantitative analysis with a descriptive approach, this study reveals that PT Astra International demonstrated resilient financial performance despite challenging market conditions. The findings indicate average ROA of 8.05%, suggesting moderate asset utilization efficiency. The company maintained a healthy ROE averaging 13.92%, though below industry benchmarks, while achieving a stable GPM of 22.6% and OPM of 15.06%, reflecting effective cost management and operational efficiency. These results provide valuable insights for stakeholders and contribute to understanding the automotive sector's financial dynamics in Indonesia.

In facing the changes that occur, companies have difficulty following new regulations because of differences with previous regulations. Companies must be able to optimize functions in all parts of the company organization in order to maintain long-term competitiveness and achieve sustainable success. These rules are formed in standard operational procedures which contain operational procedures to ensure consistency, efficiency, minimize errors and safety in every work activity in the company so that it can run effectively and efficiently. This research aims to know the procedures for creating a Work Procedure System at PT Kilang Pertamina International Refinery Unit V Balikpapan and to find out the supporting and inhibiting factors in the procedure for creating a Work Procedure System. This research uses a descriptive qualitative approach. The technique used in this research involved conducting interviews, observation and documentation supported by 2 informants. Based on the results of this research, the procedure for creating a Work System at PT Kilang Pertamina International Refinery Unit V Balikpapan consist of eight structured stages, starting from preparation to the implementation below 1%. The suggestions provided to maximize performance emphasize the importance of effective communication and management commitment to overcoming obstacles in the creation of the Work System at PT Kilang Pertamina International Refinery Unit V Balikpapan.

One of the fishing tools that is widely used by fishermen in the Pati waters of Central Java is the gill net. This tool has relatively higher productivity and efficiency compared to several other fishing tools because it can catch large numbers of fish when operated. It is one of the fishing tools that is environmentally friendly and popular to use because its operation is not too complicated and is good for development. The purpose of this Field Work Practice is to determine the effect of operational time of gill net fishing equipment on mackerel fish catches in. This Field Work Practice also aims to determine gill net operational times for mackerel fish catches. Data was obtained by conducting experiments from two different treatments, each treatment was repeated 16 times to obtain a total of 32 data. The research method used is the experimental fishing method using t-test analysis, homogeneity test, normality test.  The results of the T-test on 16 repetitions at 07.00-10.00 WIB and 15.00-18.00 WIB were with an average amount of 205.7 kg and 244.4 kg so that a sign (2-tailed) result of 0.004 < 0.05 could be obtained. From the results of the T-test, it can be concluded that H0 is rejected and H1 is accepted, meaning that there is an average difference between the results of tagkapan at 07.00-10.00 WIB and 15.00-18.00 WIB which is influenced by several factors. So it can be concluded that differences in gill net operational times have an effect on mackerel fish. The fishing operation time of 15.00-18.00 WIB is the best operational time compared to 07.00-10.00 WIB which is caused by oceanographic factors, technical factors and natural factors.

The apparel industry in Chengdu is transforming significantly due to integrating artificial intelligence (AI) technologies. This evolution aims to enhance consumer satisfaction by providing personalized shopping experiences, improving inventory management, and streamlining the supply chain. AI-driven algorithms analyze consumer behavior and preferences, allowing retailers to create tailored recommendations that align with individual tastes. Additionally, AI tools enable efficient inventory management by predicting trends and consumer demand, which helps reduce instances of overstock and stockouts. This optimization improves operational efficiency and ensures customers can find their desired products when visiting stores or online. This study was conducted through an online questionnaire distributed to 376 Chengdu participants to measure their attitudes toward AI improvement in the apparel industry. The findings underscore that innovative technology, perceived information quality, and perceived customization correlate with consumer satisfaction in AI experience improvement.    

The success of operational management at an airport is highly dependent on the performance and discipline of the Apron Movement Control (AMC) officers (Nurifi, 2024). AMC officers are required to be able to carry out high discipline, considering the many safety procedures that must be followed in order to avoid potential risks and incidents, because this affects the effectiveness of work and also the efficiency of airport officers, namely Apron Movement Control (AMC). The purpose of this study was to determine whether there is an influence of work discipline on the effectiveness of the work of Apron Movement Control (AMC) officers at Soekarno-Hatta International Airport and how much influence it has. This study uses a quantitative approach. The location of the research was carried out at Soekarno-Hatta International Airport, Benda District, Tangerang City and Kosambi, Tangerang, Banten. With a research period of August 2024 to February 2025. In this study, all Apron Movement Control (AMC) officers at Terminal 3 of Soekarno-Hatta International Airport, totaling 19 people, will be used as respondents by filling out the questionnaire provided. Based on the results of the research and analysis that have been conducted, it can be concluded that work discipline has a significant influence with a contribution of 75.9%. Meanwhile, the remaining 24.1% is influenced by other factors that were not analyzed in this study. This influence is proven by the coefficient of determination (R²) value of 0.759, which shows that work discipline contributes 75.9% to the effectiveness of the Apron Movement Control (AMC) officers at Soekarno-Hatta International Airport.

Technological advancements encourage the culinary business sector to adopt digital systems to improve operational efficiency. One such innovation is a desktop-based food ordering application. Mona Cafe in Medan developed this system to make it easier for customers to place orders without waiting long or writing them down manually. This application allows customers to select menus digitally, making the ordering process more practical and efficient. Additionally, it helps waiters record and manage orders more systematically, reducing errors and speeding up service. This technology also aligns with the digitalization trend, especially in attracting millennials and Gen Z. Besides enhancing customer convenience, this application helps Mona Cafe stay competitive in the growing culinary business. Developed using the waterfall method, the system makes cafe operations more structured and professional. With this innovation, Mona Cafe is expected to improve its service quality and customer satisfaction

The advent of autonomous shipping is poised to revolutionize global maritime transport by enhancing efficiency, safety, and sustainability. This study investigates the current state and future prospects of autonomous vessels in the shipping industry. The primary objective is to analyze the technological advancements, regulatory challenges, and economic implications associated with the integration of autonomous ships. A mixed-methods approach, combining qualitative and quantitative research, was employed, including a review of relevant literature and case studies of existing autonomous shipping projects. The findings reveal that while autonomous ships offer significant benefits such as reduced operational costs, lower emissions, and fewer human errors, there are challenges related to legal frameworks, cybersecurity, and public acceptance. The implications of this research highlight the need for international cooperation and the development of new regulations to support the widespread adoption of autonomous shipping technologies. This transformation could lead to a more efficient, environmentally friendly, and cost-effective global maritime transport system.

The shipping industry plays a crucial role in global trade, but it also significantly contributes to environmental degradation, particularly through emissions and fuel consumption. This research aims to explore sustainable transport practices in the shipping sector, focusing on the management of emissions and efforts to reduce environmental impacts. A combination of qualitative and quantitative methods was used to analyze existing literature, case studies, and data from shipping companies implementing sustainable practices. The findings highlight the potential of alternative fuels, emission-reducing technologies, and operational efficiency improvements in mitigating the sector's environmental footprint. Additionally, the research explores the regulatory frameworks and incentives that drive sustainability in shipping. The study underscores the importance of collaboration among industry stakeholders and policymakers to achieve long-term environmental goals. The implications of the findings provide valuable insights for shipping companies, environmental advocates, and policymakers aiming to advance sustainability in maritime transport.

The rapid advancement of digital technologies has significantly transformed the shipping logistics and supply chain management sectors. This study explores the impact of digitalization on these industries, focusing on the integration of technologies such as artificial intelligence, blockchain, and the Internet of Things (IoT). The primary objective of this research is to analyze how digital tools enhance operational efficiency, reduce costs, and improve decision-making in logistics and supply chain operations. Through qualitative and quantitative methods, including case studies and surveys, the study identifies key trends and challenges faced by organizations adopting these technologies. Findings reveal that digitalization leads to improved transparency, real-time tracking, and enhanced collaboration across the supply chain. However, challenges such as cybersecurity risks, high implementation costs, and the need for skilled labor remain significant. The implications of these findings suggest that while digital transformation offers considerable benefits, organizations must carefully manage the transition to ensure sustainability and long-term success.

ABSTRACT The implementation of Information Technology at XYZ Hospital serves as a key driver in enhancing the efficiency of healthcare services, but it also raises the organization’s vulnerability to significant operational risks. The primary risks identified involve inaccurate data resulting from human mistakes, breakdowns in system interoperability, and the deterioration of hardware infrastructure that may interfere with patient care. This research seeks to assess the governance of IT risk management and determine the organization’s capability level using the COBIT 5.0 framework, focusing on the APO12 (Manage Risk) domain. The study employs qualitative methods, gathering information through interviews and direct observations, and then conducts a gap analysis to compare the current state (As-Is) with the desired future state (To-Be). Findings show that the organization’s capability is currently at Level 2 (Managed Process) with a score of 1.87, which is still below the intended maturity level of 3 (Established Process) at 2.94. These results indicate that risk management activities are still largely reactive and rely on intuition, with no standardized procedures embedded within the institution. Ultimately, the study suggests formalizing a Risk Register, standardizing mitigation procedures through established SOPs, and developing a Disaster Recovery Plan to strengthen risk governance into a more systematic, preventive, and resilient framework.

Indonesia's computer retail industry is becoming increasingly competitive due to rapid technological advancements and evolving consumer preferences. PT Griyacom, a computer retail company in Bandar Lampung, faces challenges in sustaining its competitiveness amid these market dynamics. This study examines the business strategies adopted by PT Griyacom to enhance its competitive advantage using a qualitative approach with a case study method. Data was gathered through in-depth interviews with company management, direct observations, and document analysis, while data analysis followed the Miles and Huberman model, encompassing data reduction, data presentation, and conclusion drawing. The findings indicate that PT Griyacom has implemented various business strategies, including improving customer service, expanding product diversification, and utilizing digital marketing. However, the company still faces challenges such as intense price competition and the need for greater technological innovation. Based on these findings, this study offers strategic recommendations for PT Griyacom to strengthen its market position by optimizing digital marketing efforts, enhancing operational efficiency, and reinforcing product differentiation.