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In the current era of globalization and technological advancement in business, information systems play a critical role in driving organizational growth. A company’s success heavily relies on an efficient information system capable of providing accurate, timely, and relevant information. This study aims to design a web-based asset management information system to enhance asset management efficiency at PT Wisessa Consulting Indonesia. Asset management is a vital function that must be carried out to monitor the condition and status of assets. The main problems identified include the lack of integration in asset recording and the absence of a user access control system differentiated by role. The system development follows the Waterfall model, which consists of requirements analysis, system design, implementation, testing, and maintenance phases. The developed system manages detailed asset master data, schedules asset maintenance, and regulates user access rights based on roles—namely admin, IT support admin, IT support, manager, and branch user. The implementation results indicate that the system facilitates more accurate and structured asset recording, monitoring, and reporting processes. Furthermore, the system improves asset management effectiveness, ensures data transparency, reduces errors from manual processes, and supports data-driven strategic decision-making within the organization.

This study evaluates the relationship between the Automatic Dependent Surveillance - Broadcast (ADS-B) system and safety in air traffic management at the Semarang Branch of Perum LPPNPI. The need for enhanced efficiency and operational safety in air travel has increased, particularly following the rise in aircraft movements post-COVID-19. ADS-B, a satellite-based monitoring system, provides real-time data on aircraft position, speed, and altitude to air traffic controllers, facilitating quick and accurate decision-making. Employing a quantitative associative approach, the study uses saturated sampling, including all 26 active Air Traffic Controller personnel at the Semarang Branch. Data were gathered through a Likert scale questionnaire measuring respondents' perceptions of the variables. Analysis using SPSS revealed a significance value of 0.000, indicating a statistically significant relationship between ADS-B usage and flight safety. The correlation coefficient of 0.780 demonstrates a strong positive relationship, while the determination coefficient of 0.608 indicates that 60.8% of variations in flight safety can be attributed to the ADS-B system. Additionally, the t-test results confirm that the calculated t value exceeds the t table, reinforcing the conclusion of a significant and consistent relationship between the variables.

The hybrid work era, which combines remote work with face-to-face work, has brought about new challenges and opportunities in business communication, particularly in the negotiation process. This study aims to analyze the role of digital communication media in supporting the effectiveness of business negotiations. Using a descriptive qualitative approach, data was collected through in-depth interviews with several professionals from various industrial sectors who are active in online negotiation activities. The results indicate that digital communication media such as Zoom, Microsoft Teams, and WhatsApp play a crucial role in enhancing time efficiency, flexibility, and the speed of information exchange. However, limitations in nonverbal expression and the risk of miscommunication remain significant challenges. This study suggests adopting adaptive digital communication strategies, including virtual communication training and the use of a combination of synchronous and asynchronous media to achieve optimal negotiation outcomes.

Manual transaction and stock recording at Ubay Galon causes various issues, such as data loss, record inaccuracies, and lack of real-time access. This study aims to design and develop a web-based sales information system to improve operational efficiency and data accuracy. The research was conducted at Ubay Galon, South Tangerang, using the Waterfall development method. Data collection techniques include observation, interviews, and literature studies. The system was designed using UML and implemented with web technologies. The result is a sales information system that records transactions, manages inventory, and generates automatic and real-time reports. The system also enhances data security with login and automatic backup features. In conclusion, the system effectively supports the digital transformation of Ubay Galon's business processes.

 In today's digital era, efficient and accurate inventory management is crucial to support operational effectiveness in business sectors, including retail optics stores. Optik Retna, a retail optical business, previously utilized Microsoft Excel for stock management, which led to various limitations such as restricted multi-user access, risk of data loss, and lack of real-time reporting. To address these challenges, a web-based inventory system was designed and implemented using the Agile methodology. The system was developed using HTML, CSS, JavaScript, PHP, and MySQL, and includes key features such as inventory tracking, expense and return management, transaction recording, sales reporting, and user administration. The implementation results demonstrate that the system enhances work efficiency, simplifies the recording of incoming and outgoing goods, and supports faster and more accurate decision-making at Optik Retna. Therefore, this system provides a practical contribution to the digital transformation of small and medium-sized enterprises in the optical sector.

This study is to develop a web-based inventory management information system for grocery merchants in order to speed up the stock recording process. The system is built according to the waterfall style of system development, using PHP and MySQL. Data collection techniques include observation, interviews, and literature research. As a result, store managers can improve operating efficiency and reduce errors in manual stocktaking by using a system that allows real-time product stock input, updating, and monitoring. This study provides a practical digital solution to support the digitization of small businesses in Indonesia.

Maritime security in Indonesia faces numerous challenges, including piracy, smuggling, and environmental degradation that threaten the sustainability of the maritime sector. Blockchain technology, known for its transparency, security, and efficiency, presents a potential solution to enhance maritime security systems in Indonesia. This study explores the application of Blockchain technology in improving surveillance, tracking, and data validation in the maritime sector. By analyzing existing literature and case studies, the research identifies how Blockchain can strengthen security systems through smart contracts, real-time supply chain tracking, and increased transparency in maritime transactions. The study also discusses the challenges of implementing Blockchain technology in Indonesia's maritime sector and offers recommendations to accelerate its adoption. The findings aim to provide insights for policymakers and practitioners in developing technology-driven solutions to enhance maritime security in Indonesia.

The increasing demand for sustainable agricultural practices has led to the adoption of hydroponics, a method of growing plants in nutrient-rich solutions without soil. This method is particularly effective in controlled environments where resource efficiency is paramount. However, the success of hydroponic systems depends heavily on precise nutrient management, especially for micro-nutrients, which are crucial for plant health and productivity. Traditional methods of nutrient monitoring are often labor-intensive and lack the real-time responsiveness needed for optimal nutrient control. This study addresses the challenge of real-time nutrient management in hydroponic systems by developing a miniature sensor system integrated with Internet of Things (IoT) technology. The proposed system is designed to detect micro-nutrient concentrations accurately and transmit data in real-time to a cloud platform for continuous monitoring and automated control. Advanced algorithms are employed for data processing and calibration, ensuring high accuracy in detecting micro-nutrient levels. The system was tested in a controlled hydroponic environment, where it demonstrated high accuracy with minimal error margins, validated by a consistently low Mean Absolute Error (MAE). The integration of IoT allowed for seamless data transmission and real-time analysis, enabling immediate adjustments to nutrient levels as needed. This research contributes to the advancement of precision agriculture by providing an effective solution for real-time nutrient management in hydroponic systems, potentially improving crop yields and resource efficiency.

The manufacturing industry faces major challenges in maintaining consistent product quality amidst the dynamics of technology and global competition. This study aims to develop an effective Business Intelligence (BI) implementation model to support data-based quality control. The method used is a conceptual design approach through integrated system simulation, including MySQL database, PHP backend, Power BI visualization, Google Cloud AutoML predictive analytics, and initial processing using Microsoft Excel. Historical production data for 12 months is used for model training and defect trend visualization. The simulation results show that the implementation of BI can reduce product defect rates, accelerate system response, and increase inspection process efficiency. Technical validation proves the model's prediction accuracy is above 90%, while field validation shows positive acceptance from users regarding the ease of use of the dashboard. This system not only supports early detection of quality deviations but also contributes to real-time strategic decision making. With an integrated technology approach, BI enables medium-sized manufacturing companies to adopt an adaptive and sustainable digital quality system, in line with the concept of Quality 4.0.

Operational efficiency is one of the key indicators in determining the success of industrial companies amid increasing competition. One of the strategies that can be implemented to improve this efficiency is through systematic and integrated business process management. This study aims to examine the role of business process management in enhancing the operational efficiency of industrial companies. This research uses the literature review method by analyzing various national journal publications from the last five years relevant to the topic. The results show that implementing effective business process management helps companies reduce waste, shorten production time, and improve product quality. The utilization of information technology, particularly ERP systems, supports the integration of business processes, allowing for more effective decision-making. However, several challenges remain, including resistance to change and limitations in human resources. Therefore, the implementation of business process management requires appropriate strategies and active participation from all organizational elements to achieve the desired efficiency.   Keywords: , , , , 

This study uses the Mean Value Analysis (MVA) approach to analyze the queuing system at the Mixue Ice Cream & Tea cashier counter on Jalan Pahlawan in Magelang City. The MVA method was chosen because it can handle general time distributions between arrivals and services. The research was conducted through direct observation and interviews over the course of two days, during which time data was collected on the time between arrivals and customer service. The analysis revealed that the system was not in a steady state, as the arrival rate (0.0122 customers per second) exceeded the service rate (0.0111 customers per second). High service variability (CV = 276.30%) compared to arrival variability (CV = 69.46%) indicates service instability. On average, customers waited 47.08 seconds, and the total time in the system was 137.17 seconds. These results are important because they indicate the need for increased efficiency and standardized services to prevent a decrease in service quality.

This study aims to analyze the operational conditions of the raw material warehouse at PT Nutrition And Special Foods Division and evaluate the potential implementation of an Internet of things (IoT)-based warehouse management system (WMS) to improve the efficiency and accuracy of warehouse management. A descriptive qualitative approach was used, including field observations and interviews with several operators and warehouse staff. The findings indicate that the currently used manual system causes various obstacles, such as input errors, slow picking processes, and limited stock tracking capabilities. A simulation of WMS implementation using RFID and barcode technology showed significant improvements, including approximately 40% increase in picking  efficiency, around 90% improvement in stock recording accuracy, and a reduction of input errors by up to 85%. The application of this technology also supports real-time tracking using FIFO/FEFO methods and enhances visibility and decision-making in logistics operations. Thus, the integration of RFID, barcode, and QR code in WMS proves effective in transforming warehouse management into a faster, more accurate, and responsive system aligned with supply chain dynamics.

This study presents a Systematic Literature Review (SLR) focusing on the application of the Branch and Bound (B&B) method in production optimization. In modern industry, achieving operational efficiency and profitability is essential, yet optimization often yields fractional solutions that are unrealistic for indivisible entities. The Branch and Bound method, as part of Integer Programming, has proven effective in addressing these constraints by converting fractional solutions into optimal integer values. This SLR analyzed 12 scientific articles published between 2016 and 2024, sourced from databases such as Google Scholar, Scopus, and SINTA. The analysis reveals that B&B is widely utilized to maximize production profit across various sectors, including spring beds, woven fabrics, bread, and furniture, often formulated as Integer Linear Programming (ILP) problems. Furthermore, this method is also applied to minimize production time and determine the shortest routes. Overall, B&B is a flexible and efficient tool that assists companies in managing resources and achieving maximum profit with realistic integer solutions.

This paper explores the potential of integrating Sharia-compliant financial technology (fintech) innovations with sukuk issuance to drive sustainable infrastructure development in emerging economies. With the rise of digital transformation and the increasing focus on sustainable development, the Islamic financial system provides a unique opportunity to reconcile financial innovation with ethical principles. The study highlights how Sharia fintech platforms, such as crowdfunding and blockchain, can enhance the efficiency, transparency, and accessibility of sukuk as a financial instrument. At the same time, sukuk addresses the significant financing gap in infrastructure development while adhering to Islamic principles, such as avoiding riba (interest), gharar (uncertainty), and maysir (speculation). Through a comprehensive literature review and empirical analysis, this research identifies the gaps in existing approaches to financing sustainable infrastructure in emerging economies and proposes a novel integration framework. Findings suggest that the convergence of Sharia fintech and sukuk can facilitate financial inclusion, attract a broader investor base, and accelerate infrastructure financing. Furthermore, this integration supports the achievement of the Sustainable Development Goals (SDGs) by ensuring that financial tools align with social justice and environmental stewardship. This study contributes to the growing body of knowledge on Islamic finance by providing actionable insights for policymakers, financial institutions, and fintech developers. It emphasizes the importance of regulatory frameworks and cross-sector collaboration to unlock the full potential of Sharia-complian

The SEBLAK program (Birth Certificate, Birth Registration, and Family Card) initiated by RS dr. Mohammad Zyn represents an innovation in digital-based civil registration services, aimed at improving efficiency, effectiveness, and transparency in public services related to population administration. This innovation integrates the processes of data collection, verification, and the issuance of administrative documents automatically through a digital system directly connected to the Department of Population and Civil Registration (Disdukcapil). Consequently, procedures for obtaining documents such as birth certificates and family cards can be carried out more quickly, easily, and without bureaucratic obstacles, while also providing more accurate and reliable data. The overall success of this program is supported by several key factors, including adequate technological infrastructure, continuous training for officers and the community, and effective socialization through various media and community forums. A qualitative approach was used to evaluate the implementation process and its impact on the community and hospital staff. Data were collected through in-depth interviews, observations, and documentation, then analyzed using the Miles and Huberman (1994) model. The results indicate that the implementation of this digital system can significantly reduce the time and costs associated with document processing, improve data accuracy, and strengthen public trust in government services. Beyond operational aspects, the SEBLAK program also positively impacts increasing access to administrative services for communities in remote and hard-to-reach areas. This aligns with the goal of expanding digital services inclusively and reinforcing the role of hospitals as the initial point and center for civil registration services while enhancing community participation in fulfilling their administrative rights. However, challenges remain, including technical infrastructure limitations, a lack of sufficient training for human resources, and the need to improve data security capacity. Therefore, continuous capacity building for human resources and infrastructure development are crucial to ensure the sustainability and success of this program, which can serve as a model for innovative public services that other institutions in Indonesia can adopt.    

An effective project management system is a crucial need in software development and other IT projects. This study aims to design and evaluate a web-based project management information system with integration of collaboration, scheduling, and reporting features based on real-time data. This study adopts a combined approach from three previous studies, namely a NodeJS-based collaboration system, a CodeIgniter project management system, and a PERT-based evaluation approach. The implementation results show increased teamwork efficiency, reporting accuracy, and managerial ability to anticipate project obstacles. This system is suitable for application in various scales of IT projects.

The port is a vital infrastructure in the global logistics chain that connects sea and land transportation. The efficiency of cargo loading and unloading operations at the port is a critical factor influencing the smooth flow of goods and overall logistics costs. In this context, the use of Business Intelligence (BI) as an integrated technological system to support data collection, analysis, and presentation is becoming increasingly important for optimizing data-driven decision-making in port environments. XYZ Port, as one of the strategic ports in Indonesia, faces challenges in managing complex loading and unloading operations with increasing cargo volumes. The implementation of a BI dashboard offers a solution to visualize operational data in real-time, identify bottlenecks, and optimize resource allocation. This study aims to implement a BI dashboard for cargo handling operations at XYZ Port. The specific objectives include identifying information needs in cargo handling operations and developing a BI dashboard that suits the characteristics of port operations. The findings indicate that the dashboard effectively supports real-time decision-making and enhances operational efficiency. The study also highlights the importance of addressing technological infrastructure, human resource readiness, and system integration challenges in BI implementation.

This study aims to analyze the effect of the apparent movement of the sun on community activity patterns, The method used is qualitative descriptive research with a literature study approach and secondary data analysis from various scientific studies. The results of the study indicate that the apparent movement of the sun significantly affects the division of community activity time, both daily, economic and social activities. Adjusting activities to the position of the sun also has an impact on energy efficiency, environmental comfort and community productivity. This finding is important because understanding the apparent movement of the sun in planning daily activities and managing community time. This study contributes to the development of science int the field of social science education, especially in understanding the relationship astronomic.

This study investigates the impact of cashless payment technologies, specifically e-toll and Garda Total Objek (GTO), on customer satisfaction and travel efficiency on the Tangerang-Merak Toll Road. The research demonstrates that the implementation of these technologies significantly enhances travel time efficiency and overall user satisfaction, providing a more seamless and convenient toll payment experience. Despite these positive outcomes, the study identifies several technical challenges that hinder optimal performance. Notably, there is an 18% transaction failure rate, primarily caused by malfunctions in card reader devices and server disruptions, which negatively affect the customer experience. In addition to technological reliability, the quality of service delivered by field staff and the degree of customer loyalty emerge as critical factors influencing sustained use of the digital payment system and overall satisfaction levels.The study underscores the importance of time efficiency and customer loyalty as key drivers for improving service quality and encouraging the widespread adoption of cashless systems. To address these challenges, the study recommends enhancing the reliability of payment devices and network infrastructure through regular maintenance and upgrades. Furthermore, the adoption of Multi-Lane Free Flow (MLFF) technology is suggested to allow toll transactions without stopping, thereby reducing traffic congestion and waiting times at toll plazas. Continuous staff training is essential to improve service response and technical troubleshooting. Additionally, customer loyalty programs offering incentives like discounts and rewards could increase user engagement. The study also emphasizes the need for increased public education on cashless payment systems and their features to minimize resistance and misunderstandings. Finally, ongoing monitoring and evaluation based on user feedback are critical for promptly addressing issues and sustainably improving customer satisfaction.

Stockpiles are accumulations of materials such as coal or ore stored at specific locations. Accurate stockpile volume measurement is crucial in the mining and logistics industries for inventory management and cost efficiency. Conventional methods like Real-Time Kinematic (RTK) GPS rely on surface coordinate measurements but require numerous points, especially for irregular-shaped objects. Newer technologies like Terrestrial Laser Scanners (TLS) offer high-precision alternatives by capturing thousands of points per second, expediting and enhancing the resolution of volume measurements. This study compares TLS and RTK GPS methods in measuring the volume of andesite rock stockpiles at PT Bara Tabang. This research uses a quantitative approach, involving six Ground Control Points (GCPs) measured using the Sokkia GRX2 RTK GPS on October 24, 2024. TLS generated over 8.6 million point cloud data filtered down to 35,197 points, while RTK GPS yielded 2,276 coordinates. Accuracy testing showed very small RMSE values (RMSEr: 0.008 m; RMSEz: 0.007 m), and both LE90 and CE90 demonstrated 90% confidence within a 0.012 m range. Volume calculation using Surpac software with the cut and fill method showed TLS produced a volume of 18,766 bcm (51,982 tons/m³), while RTK GPS resulted in 18,694 bcm (51,782 tons/m³), with a difference of 72 bcm or 0.211%.These results indicate that both methods offer acceptable accuracy; however, TLS provides greater data density, efficiency, and precision, particularly for complex or large-scale stockpile objects. Therefore, TLS is recommended for high-accuracy volume measurement in mining operations that require efficiency and detailed analysis.