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The People Crossing Bridge (JPO) is one of the important infrastructures in the urban transportation system. JPO is designed to facilitate pedestrians to cross the highway safely without being disturbed by vehicle traffic. This infrastructure not only serves to improve safety but also supports mobility efficiency in dense urban areas. On Jalan Dr. Sam Ratulangi, Jayapura City, a pedestrian bridge infrastructure was built, which is located in front of Jayapura Mall, Jayapura City. According to its purpose, the pedestrian bridge was built to reduce the occurrence of traffic accidents in locations with heavy activities, including city centers with shopping that certainly has high mobility. The data collection method in this study uses the survey method. In this study, the researcher conducted a survey of JPO facilities at pedestrian trap sites. This research is the output of the stages that have been carried out by the author. Based on the results of observations that have been carried out on July 8 and 13, 2024, at 07.00 – 17.00 WIP, the results were found that more pedestrians chose to cross using the available JPO with a total of 147 people (65%), compared to 92 people (35%) who did not use the JPO. Meanwhile, using JPO can help and facilitate and shorten the travel time of the crossing, by climbing and descending stairs you can enjoy the atmosphere around. In the condition of the JPO floor, this is due to the presence of mischievous individuals so that public facilities are starting to be unattractive to see. For this reason, public facilities are assets that we need to take care of together so that they are suitable for use. Factors that affect the effectiveness of the JPO located on jl. Dr. Sam Ratulangi in front of the Jayapura City Mall that needs to be concerned is the cleanliness at the location is the top priority.  

Combinatorial optimization is a fundamental area in operations research and computer science, focusing on identifying optimal solutions from a finite set of possibilities. This study explores the integration of branch and bound methods with heuristic algorithms to address optimization problems in graph theory and discrete mathematics. Python was employed for algorithm implementation due to its flexibility and comprehensive computational libraries, enabling efficient data analysis and visualization. Several benchmark problems were examined, including the Traveling Salesman Problem (TSP), Minimum Spanning Tree (MST), and Graph Coloring. Simulations were conducted using datasets of varying sizes (small, medium, and large) to evaluate performance across different scales. The results demonstrate that the hybrid approach achieves a balance between solution quality and computational efficiency, outperforming brute-force methods in terms of speed while maintaining near-optimal accuracy. Tabulated results and graphical comparisons highlight the reduction in computation time and improved scalability of the proposed method. The findings suggest that combining systematic search strategies with heuristics offers a practical and effective framework for solving complex combinatorial optimization problems. Recommendations for future research include testing scalability with larger datasets, incorporating advanced metaheuristics, and applying the approach to real-world domains such as logistics and network design.

The Online Regional Investment Information System (SI INVEST OKE) is an innovation in licensing services in Demak Regency that aims to accelerate and simplify the licensing application process. This system replaces the previous offline application, SIMPPT, and provides technology-based services that can be accessed from anywhere. This study uses a descriptive analytical method with a qualitative approach to evaluate the implementation of SI INVEST OKE using Leavitt's Model (1965), which examines the relationship between four main components: tasks, human resources, technology, and organizational structure. Data were collected through in-depth interviews with DINPMPTSP employees and service users, direct observation at the DINPMPTSP office, and analysis of related documents. The findings show that the implementation of SI INVEST OKE has succeeded in reducing service time, increasing public satisfaction, and providing efficiency in licensing management. However, challenges such as limited technological infrastructure in remote areas and human resource skills are still obstacles that need to be overcome. The main recommendations from this study include increasing human resource capacity, expanding technological infrastructure, and developing more supportive regulations.

This research explores the use of iterative methods in conjunction with the Finite Difference Method (FDM) for solving partial differential equations (PDE). The central challenge addressed is the computational inefficiency and slow convergence that often arise when utilizing traditional numerical methods, particularly in large-scale systems. The study aims to develop a more efficient iterative approach to solve PDEs by minimizing computational time while ensuring the stability of the obtained solutions. The primary methods proposed include iterative solvers such as Gauss-Seidel and Successive Over-Relaxation (SOR), which are applied to numerical solutions derived from FDM. The research demonstrates that iterative methods, especially SOR, achieve faster convergence with fewer iterations compared to conventional methods like the Finite Element Method (FEM), which tends to be slower and more resource-intensive for large-scale problems. The study highlights the advantages of iterative solvers in efficiently handling large, sparse linear systems and reducing computational costs. In addition, it shows that these methods are capable of providing stable solutions, thereby maintaining accuracy with significantly lower computational effort. The results suggest that iterative methods, when applied in combination with FDM, offer a practical and scalable solution for solving complex PDEs. These methods are especially beneficial in engineering and theoretical physics applications where large-scale simulations are prevalent. The study concludes with recommendations for future research, which should focus on further optimizing solver parameters, exploring hybrid approaches, and extending the methods to more complex PDEs with non-linearities or irregular geometries. By doing so, these techniques could contribute to even more efficient and practical solutions for real-world applications.

The adoption of Robotic Process Automation (RPA) has emerged as a crucial strategy for medium-sized enterprises (SMEs) to streamline back-office operations, enhance productivity, and reduce operational costs. RPA involves the use of software robots to automate repetitive, rule-based administrative tasks, allowing employees to focus on more complex, value-added activities. This study explores the implementation of RPA in medium enterprises, focusing on its impact on cost efficiency, administrative workload reduction, and operational performance. The research uses a case study approach, analyzing medium enterprises that have adopted RPA to assess the effectiveness of automation in improving business processes. Data collection methods include interviews, surveys, and company reports to evaluate how RPA affects workload, accuracy, and cost savings. The findings indicate that RPA significantly reduces manual administrative tasks, leading to faster processing times, lower error rates, and substantial cost savings. Employees in enterprises that adopted RPA reported increased job satisfaction due to the reduction of monotonous tasks and the opportunity to engage in more strategic work. However, challenges such as employee resistance, data security concerns, and system integration complexities were also identified. The study compares RPA’s impact with traditional manual processes, highlighting improvements in speed, accuracy, and overall cost efficiency. Additionally, the study compares RPA adoption across industries such as manufacturing, retail, and service, revealing sector-specific challenges and successes. The paper concludes by emphasizing the practical implications for SMEs, suggesting that RPA can optimize business operations and urging further research on its long-term effects on employee roles and organizational culture.

Advances in information technology have become a major influence on society in meeting needs, quality and convenience. One example of technological progress is online sales. E-commerce or online shops can make it easier for people to shop with time efficiency, accuracy and quality and can make it easier for the shop to sell because it can promote the products it sells more widely and get maximum profits. This research focuses on designing the UI/UX for cosmetic sales at beauty cosmetic stores. Researchers found problems in beauty cosmetic stores in that store management was still manual, only using social media as promotion without an online sales platform so that the income obtained from sales was not optimal. The method used in designing the UI/UX for selling cosmetics at this beauty cosmetic shop is using the prototype method. The results of this research are the UI/UX design for selling cosmetics at beauty cosmetic shops which can make it easier for beauty cosmetic shops to market their products. It is hoped that this learning media can increase people's interest in shopping at beauty cosmetic stores.

Furniture has high added value and significant global competitiveness, largely due to the diversity of natural raw materials available in Indonesia, such as wood, rattan, and bamboo, as well as distinctive and high-quality designs. This advantage is supported by the skills and competence of the available human resources, making Indonesian furniture superior to products from other countries. Product quality is a key element in winning market competition, as it impacts customer satisfaction and loyalty. Masnur Joglo, a furniture company located on Jl. Muara Karya, specializes in producing various types of furniture from high-quality woods such as super mahogany and red teak. However, the purchasing system, which requires customers to visit the store directly and manually record prices, results in inefficiencies in terms of time and transportation costs. Customers often need to visit multiple stores to find the desired product, which is an inefficient process. To address these challenges, this study proposes the development of an Android-based sales application as a solution. This application is designed to expand Masnur Joglo's market reach and facilitate online ordering of furniture products, anytime and anywhere. The study aims to design and develop an Android-based sales information system that can enhance operational efficiency and streamline the sales process while better meeting customer needs. The application development method employs the waterfall model and uses MySQL and Firebase databases.  

This research investigates ship maintenance management practices among senior students in shipping engineering during their internships at a vocational school in Jakarta. The study explores the challenges faced, strategies employed, and lessons learned in managing maintenance tasks onboard ships. Seven participants were interviewed, highlighting technical malfunctions, resource limitations, time constraints, environmental factors, and communication barriers as primary challenges. Participants utilized preventive maintenance, cross-training, task prioritization, collaborative problem-solving, and digital tools to enhance operational efficiency. Lessons underscored the importance of preparation, teamwork, adaptability, continuous learning, and communication skills in navigating maritime maintenance complexities. The findings emphasize the role of proactive maintenance strategies and technological integration in optimizing sustainability and operational reliability within the maritime industry. Integrating practical training into educational curricula and embracing digital innovations are recommended for preparing future professionals. Future research could explore larger sample sizes and quantitative methodologies to validate findings and quantify the impact of maintenance practices. This study contributes to enhancing vocational education in maritime sciences and informs industry practices for advancing ship maintenance management globally.

Thesis at the Wira Wacana Christian University Sumba Animal Husbandry Study Program involves the stages of submitting a title, registering for a proposal exam, and a thesis exam. This process currently uses Google Forms, with result announcements via WhatsApp, creating inconsistencies and taking a long time. Changing the thesis title requires additional steps, such as students having to come to campus to remove the old title after it is rejected. Challenges also arise in tracking the frequency of tutoring, especially with large student numbers. This research aims to develop an effective solution by applying the Extreme Programming (XP) method in developing web-based applications. Based on the System Usability Scale (SUS) test, this application received a usability score of 80.2%, making it suitable for use. The successful implementation of this web application makes a positive contribution in improving the quality and efficiency of thesis management in the Wira Wacana Christian University Sumba Animal Husbandry Study Program.

This research aims to analyze the performance of various CPU scheduling algorithms in increasing the responsiveness of the Android operating system. Using algorithms such as First Come First Served (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), and Round Robin, this study evaluates the advantages and disadvantages of each in terms of average waiting time, throughput, and power consumption. Research methods include literature study, algorithm selection and implementation, as well as data testing and analysis. The research results show that choosing the right scheduling algorithm can increase system efficiency and responsiveness, as well as provide recommendations for Android operating system developers and the application developer community. It is hoped that these findings will help in determining the optimal solution for improving the performance of the Android operating system.

Government policy changes and drug price fluctuations related to e-catalog can affect drug costs and types purchased between 2022 and 2023. This research aimed to analyze the differences in drug procurement using the e-catalog system and its interaction with hospital financial and operational variables. The study employed a mixed-methods approach to understand the dynamics of drug procurement at Pharmacy Department of X Hospital through the e-catalog system between 2022 and 2023. This research evaluated changes in purchasing volume, costs, cost efficiency, and service speed. Quantitative data were obtained from e-catalog documentation, focusing on the types, volumes, and prices of chronic medications, as well as BPJS claims. Statistical analysis was used to compare the study periods, while qualitative data from in-depth interviews with 15 respondents, observations and document analysis enriched the understanding of procurement process changes through data triangulation analysis.  The results demonstrated an increased use of e-catalog, with policy changes leading to supplier diversification and price flexibility. Quantitative findings indicated a 25% increase in the volume of drug purchases through the e-catalog from 2022 to 2023, accompanied by a 15% reduction in average drug prices due to heightened competition among suppliers. Additionally, procurement efficiency improved by 30%, as reflected in the reduction of the procurement cycle time from 45 days to 31 days. These findings indicated shifting needs and procurement strategies, affecting budget efficiency and the speed of fulfilling drug requirements. In conclusion, strategic adaptations and ongoing evaluations in managing e-catalog are essential to address financial and logistical challenges, ensuring patient satisfaction and drug availability.    

This paper explores the Time-Based One-Time Password (TOTP) authentication mechanism enhanced with lightweight cryptographic algorithms, presenting it as an advanced solution to the limitations of traditional OTP systems. There are a lot of applications and systems where this mechanism is applied. For example, bank applications, e-commerce websites, access control system, healthcare system, etc. TOTP generates dynamic, time-sensitive passwords using the current time and a secret key processed through a cryptographic hash function, significantly improving security by reducing vulnerabilities to code reused and interception. The adoption of lightweight algorithms ensures that TOTP can be efficiently implemented on resource-constrained devices, such as those on the Internet of Things (IoT) ecosystem. Despite its benefits, TOTP faces challenges including synchronization issues between client devices and servers, and a trade-off between computational efficiency and security strength. This paper discusses the implications of these challenges and evaluates how TOTP, with appropriate design considerations, can provide a robust, secure, and efficient authentication method suitable for various applications, from digital banking to IoT environments.

The development of technology in the world is growing rapidly, so that technology is able to make everything that is done faster and more effective, such as technology that is developing in the coffee industry. Manual espresso machines are done using human power, so there are limitations to the power needed to make espresso in large quantities at once and lack of time efficiency. This pneumatic system allows for more responsive pressure control compared to manual systems. The Pneumatic Pre-Charge (PCP) system is a system that utilizes natural resources as its main energy source in renewable energy systems such as air. The method used to achieve a more optimal manual espresso machine is to use an experimental research method to test the performance of the espresso machine designed from a combination of a PCP system through empirical data collection to measure how efficient the machine is. The design process produces a manual espresso machine design which can then be developed into a espresso machine. Testing was carried out as many as 210 cycles and was divided into 3 stages of testing, namely a 360 cc cylinder capacity with a pressure of 2700 psi capable of pressing an average of 70 times, showing that the coarser the grind size of the coffee powder used, the time and pressure required will be reduced by requiring a pressure of 35 psi. From the results of this study, further testing is needed on the use of a PCP system espresso machine to validate its usefulness in supporting the needs of making espresso in the coffee industry.

Air transportation is the primary choice due to its speed, safety, and comfort. Airports are places where aircraft land and take off and conduct various activities related to passengers and cargo, categorized into domestic and international. The Apron Movement Control (AMC) unit at PT Angkasa Pura I oversees movements in the apron area and provides services to airport users. Strict supervision is required to maintain safety and discipline on the apron. However, observations at the AMC at Sultan Hasanuddin International Airport in Makassar show a lack of discipline among staff, such as oil spills on the apron, which pose a safety hazard. This research aims to understand the role of AMC in enforcing employee discipline and the challenges faced at Sultan Hasanuddin International Airport in Makassar. This research employs a qualitative approach to understand the phenomena in the Apron Movement Control unit at PT Angkasa Pura I, Sultan Hasanuddin International Airport in Makassar, from June 1 to July 31, 2024. Primary data were collected through interviews and direct observations, while secondary data were obtained from company documents and literature studies. Data analysis involves reduction, presentation, and conclusion drawing, with data validity tested through source, technique, and time triangulation. Research steps include interviews, observations, data analysis, and conclusion drawing.The results show that the Apron Movement Control (AMC) unit at Sultan Hasanuddin International Airport in Makassar plays a crucial role in maintaining security, order, and discipline on the apron. They control the movements of aircraft, vehicles, and personnel and ensure operations follow safety procedures. AMC also acts as disciplinarian and educator through regular training. However, they face challenges such as a lack of employee understanding of procedures, limited communication equipment, communication challenges due to noise, and high operational pressure. To overcome these challenges, AMC needs to strengthen training, improve communication and coordination, enhance facilities, and increase employee welfare. These measures are expected to improve AMC's performance and instill a strong work discipline culture, making them the front line in maintaining airport security and operational efficiency.    

This research was carried out with the aim of finding out how to calculate Trend  Analysis (Index Number Series Analysis) in PT Timah Tbk financial reports and how to explain the results of calculations using Trend Analysis (Index Number Series Analysis). The research approach uses a quantitative type using secondary data collected using documentation and literature study methods. By analyzing financial report data at PT Timah Tbk. The technique for collecting secondary data is carried out using documentation techniques. namely by collecting company financial reports from December 31 2020. 2021. 2022. 2023 and March 31 2024. Data is collected from the official IDX website. namely (www.idx.co.id) by downloading . The research results show that the financial trend analysis of PT Timah Tbk from 2020 to 2024 shows significant changes in various aspects of the company's finances. PT Timah Tbk succeeded in increasing its total equity. major challenges in maintaining revenue and cost efficiency led to a decrease in overall profitability. In research. researchers have an interest in time and knowledge. which results in less comprehensive research results and obtaining limited information.

Innovation in Hajj and Umrah management through the use of social media holds significant potential to enhance service efficiency and quality. Social media platforms like Facebook, Instagram, Twitter, and WhatsApp can be used to quickly and accurately provide education and information to pilgrims. Organizers can deliver guidelines, health tips, and real-time updates about conditions in the holy land, and respond to pilgrims' questions and complaints more efficiently. This research explores how social media can be integrated into Hajj and Umrah management to improve service quality and risk management, focusing on the role of social media in education, responsiveness, and risk management. The findings indicate that social media is effective in disseminating information and enhancing interaction between organizers and pilgrims, though challenges exist in technology access gaps and the risk of spreading inaccurate information.    

Mobile applications trend are currently happening due to increased number of people holding smartphones. But this does not mean the end of web and desktop users. Mobile, web and desktop apps will always have its own market and users in manipulating data. The challenges for software developers are how to deliver software to all of those platforms as fast as possible. Efficiency is key in this research, that is to develop a hybrid app. Black box testing will be used in this research to make sure that efficiency is gained throughout the process compared to developing for each platforms independently. Through this research, hopefully can help software developers to develop and deliver applications for user efficiently in a short amount of time.

Lean Inventory Management is a systematic approach that focuses on reducing waste in the inventory management process to improve operational efficiency and reduce costs. This study aims to analyze the impact of Lean Inventory Management implementation on reducing inventory costs in manufacturing companies. This research uses a case study method in a manufacturing company that has implemented Lean Inventory Management. Data were collected through in-depth interviews, direct observation, and analysis of company documents. The analysis techniques used include descriptive and comparative analysis to measure changes in inventory costs before and after implementation. The results showed that the implementation of Lean Inventory Management succeeded in significantly reducing inventory costs. Some of the strategies implemented include the implementation of Just-In-Time (JIT), reduction of buffer inventory levels, improved coordination with suppliers, and the use of information technology for real-time inventory monitoring. In addition, the company also noted improved operational efficiency and customer satisfaction as a positive impact of implementing Lean Inventory Management. This study concludes that Lean Inventory Management is an effective approach to reduce inventory costs in manufacturing companies. Proper implementation of lean strategies can result in significant cost savings

In the digital era, the use of information technology in various fields, including education, is essential. Madrasah Ibtidaiyah Syamsul Huda in Jagakarsa District, South Jakarta, faces challenges in recording teacher attendance, which is still done manually, leading to issues such as data inaccuracy and difficulty in recapitulation. This research aims to design and develop a web-based attendance system using PHP, Bootstrap, CSS, HTML, and MySQL. The system is expected to improve the efficiency and accuracy of attendance recording, as well as facilitate real-time access and processing of attendance data. The research methodology includes needs analysis, system design, implementation, testing, and maintenance. The results indicate that the web-based attendance system can provide an effective solution to enhance teacher attendance management at Madrasah Ibtidaiyah Syamsul Huda.

The increasing level of urbanization is in line with the need for housing. Not only that, but also the increase in people's need for a place to live has led to an increase in land prices. The city of Medan is one of the developing cities that many people pay attention to. The development of this city has attracted many people's attention, making young investors and young business people who are part of the community who have a contemporary and instant lifestyle and lifestyle, so that the need for lodging places becomes a priority. And due to the increase in the value of existing land in the city of Medan, lodging buildings that have good land efficiency are needed, such as mid-rise and high-rise buildings. Nowadays, hotels are not just a place to stay anymore for visitors doing business or tourism. But over the times, hotels are currently used to accommodate weddings, meetings, parties, and are often also used as recreational or entertainment facilities for the community. Seeing the small number of four-star hotels in Medan City, especially in Polonia District, is the reason why additional four-star hotel buildings are needed. Therefore, from these problems, the authors feel compelled to play a role in implementing ideas, ideas, and knowledge about four-star hotels, by designing business hotels with four-star facilities using a tropical architectural approach.