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This study conducts a systematic literature review (SLR) exploring the Impact of Enterprise Resource Planning (ERP) and Big Data technologies in Improving Business Performance across global sectors. In the context of Industry 4.0, businesses are rapidly adopting the latest systems for operational efficiency. Research shows that ERP significantly improves business performance in various aspects, resulting in significant benefits for companies. Big Data is recommended as a tool for improving business processes; when combined with ERP, it enables effective and efficient production of useful outputs for companies. This SLR brings together a variety of articles from 2019-2025 and highlights a significant positive correlation between ERP, Big Data, and Business Performance of Companies. Although the relevance of these technologies is recognized, discussions on this topic in Indonesia are still limited. This study aims to encourage a deeper understanding and further research on ERP and Big Data.

Pressure vessels are critical components in the energy industry, used to store and process high-pressure fluids. The structural reliability of these vessels plays a pivotal role in ensuring operational safety and system efficiency. This study aims to analyze the design and reliability of pressure vessels using both numerical and experimental approaches to optimize performance and enhance safety factors. The numerical method was conducted through Finite Element Analysis (FEA) using ANSYS software to evaluate stress distribution, stress concentration, and potential failure modes under various operational load scenarios. Meanwhile, the experimental method involved hydrostatic pressure testing, strain measurements using strain gauges, and displacement analysis to validate the numerical simulation results. Data were collected from simulations and laboratory experiments, then analyzed quantitatively by comparing key parameters such as stress distribution, deformation patterns, and safety factors against industry standards. The results indicate that combining numerical and experimental approaches improves the accuracy of pressure vessel behavior predictions, enables more efficient design optimization, and enhances structural reliability. In conclusion, the methods applied in this study can serve as a reference for developing safer, more efficient pressure vessel designs that comply with industrial standards, thereby supporting improved safety and operational efficiency in the energy sector.

process standardization, and system optimization. The study concludes that the HOT-FIT model is This study evaluates the performance of the outpatient registration information system at RSUD Komodo using the Human-Organization-Technology Fit (HOT-FIT) framework. Hospital Information Systems, particularly in the outpatient registration process, are crucial for supporting service efficiency and data accuracy. However, RSUD Komodo has experienced several challenges in the implementation of its SIMRS module, including system slowdowns, sudden monitor failures, and unstable internet connectivity during service hours. These issues hinder operational effectiveness and risk compromising service quality. The objective of this research is to assess system performance comprehensively across human, organizational, and technological dimensions. A qualitative descriptive design was employed, involving in-depth interviews with five key informants: registration staff, IT personnel, coder, head of the medical records unit, and head of the casemix team. The findings show that in the human dimension, users lacked sufficient training and adaptation strategies. In the organizational aspect, weak coordination and the absence of standardized procedures were identified. In the technology dimension, hardware malfunctions and slow system performance significantly disrupted services. These interconnected issues reveal the need for capacity buildingan effective tool for evaluating hospital information systems, offering a structured approach to identifying and resolving performance gaps in outpatient service modules.

Innovation is a key element in improving business competitiveness and sustainability. This study uses the Systematic Literature Review (SLR) method to analyse the relationship between resources and innovation strategies in entrepreneurship. A total of 22 Scopus-indexed articles were reviewed using the PRISMA approach, focusing on the types of resources (human, financial, technological, informational, and physical) and forms of innovation (product, process, and managerial). The results show that product innovation is largely supported by human resources and technology, where the skills and creativity of the workforce play an important role in the development of new products. Process innovation relies on technology and information, especially in production efficiency and operational digitalisation. Meanwhile, managerial innovation is closely related to human resource management and organisational strategy, which enables companies to be more adaptive to market changes. This study enriches the Resource-Based View (RBV) and Dynamic Capabilities theories, and provides insights for entrepreneurs and policy makers in developing resource-based innovation strategies. In conclusion, successful innovation in entrepreneurship depends on optimal resource utilisation and appropriate policy support to create sustainable innovation.

Automatic Identification System (AIS) is a communication technology that plays an important role in improving operational safety and efficiency in the shipping industry. AIS allows ships to exchange real-time data on identity, position, speed, and direction, which helps prevent collisions and facilitates maritime traffic management by port authorities. In addition, AIS functions in search and rescue operations by providing accurate information on the location of ships in trouble. In terms of security, AIS allows monitoring of suspicious ships, thus helping in preventing illegal activities in the waters. This study aims to design and develop a prototype AIS receiver based on LoRa, Arduino, and LCD HMI. The LoRa module was chosen because of its ability to transmit data over long distances with low power consumption, which is suitable for the maritime environment. Arduino is used as the main microcontroller to control the system, while the LCD HMI serves as the display interface for the received data. After the hardware and software design was completed, the system was tested through functional testing and performance measurements using a spectrum analyzer to evaluate the strength of the LoRa signal at various distances. The test results show that the AIS receiver is able to receive data well up to 15 meters on land and 13 meters at sea, with a delay of 100 milliseconds. System performance degrades at longer distances due to environmental interference and signal attenuation. These findings provide insight into the effective limits of LoRa communication in maritime applications and can be used as a reference for frequency testing and optimization of LoRa-based long-range communication systems.

This study aims to analyze the Pareto distribution of stock quality in 16 Apotek Kimia Farma outlets in Southeast Sulawesi during the period of January to October 2024, with a focus on inventory management based on ABC analysis. The research employed a descriptive quantitative design with a longitudinal (time series) approach, involving descriptive, trend, comparative, and correlation analyses to evaluate stock distribution and its stability. The findings show that, overall, the stock distribution in Kimia Farma outlets follows the Pareto principle, with category A accounting for an average of 73-86% of total sales value. However, significant variations were found across outlets, with outlets such as KF 004 and KF Hasanuddin Kendari showing high stability in category A distribution, while outlets like KF BULOG and KF Kolaka exhibited greater fluctuations. Seasonal patterns were also identified, with a decrease in category A percentages in April-May and October. Based on these findings, optimizing inventory management strategies based on Pareto distribution can enhance stock management efficiency, with recommendations to focus on category A, conduct regular evaluations of categories B and C, and adjust for seasonal patterns. This study suggests the implementation of more flexible inventory management strategies for each outlet to improve operational efficiency and customer service.

Along with the development of technology and the increasing need for speed and ease of access to information, electronic archives have developed into Dynamic Archiving Information Systems (SIKD). Not only functioning as a storage medium, SIKD is also used as an archive management tool that allows organizations to organize, access, and monitor documents more efficiently and in real-time, to support the creation of a more modern work process. This study was conducted at the Head Office of Perum BULOG with the aim of analyzing the effectiveness of SIKD in archive management, identifying obstacles to its implementation, and formulating efforts to increase personnel awareness of the use of SIKD. This study uses a qualitative method using a research method that focuses on direct observation of phenomena or events that occur in real life, and uses a data analysis model with the help of NVivo 12 Plus software. The units of analysis in this study are sub-division heads, managers, and employees who are active users of the Dynamic Archiving Information System (SIKD). Data were obtained directly from the original source using interview, observation, and documentation techniques, and supplemented with literature studies as additional sources of information. Based on the research results, it shows that the implementation of SIKD increases work efficiency, accelerates the flow of correspondence, and digitizes archives. However, the implementation of this system still faces challenges such as low employee awareness in using this system, technical constraints, and operational constraints.

Indonesia, as the world's sixth largest sugar market, faces an imbalance between sugar consumption and production, opening up opportunities for natural sweetener alternatives such as stevia. Stevia, which is low in calories and has the potential to reduce the risk of chronic diseases, is increasingly in demand. However, optimal business strategies to market stevia in Indonesia are still limited. This article aims to analyze PT Sweet on Stevia's business strategy by using Porter Five Forces and SWOT analysis. The method used is to link the two analyses to determine strategies in the aspects of service, marketing and sales, and operations. The results of the analysis show the importance of improving service quality, social media-based marketing, and operational efficiency in facing market competition. The findings provide insights for PT Sweet on Stevia to optimize its business strategy and contribute to the promotion of healthier sugar consumption patterns in Indonesia.

The alignment of budget planning with funding sources is a crucial aspect of financial management in Islamic educational organizations to ensure operational sustainability and improve the quality of educational services. This study aims to analyze strategies that can be implemented in drafting and adjusting budget plans with various funding sources, such as government funds, zakat, infaq, waqf, community donations, and student contributions. This research employs the library research method, which involves collecting and analyzing various literature related to Islamic educational financial management. The results indicate that the principles of efficiency, effectiveness, transparency, and accountability must be applied in managing educational funds to ensure optimal budget utilization. One of the key indicators for maintaining financial balance is the budget balance ratio, which measures the extent to which an organization’s revenue can cover its expenditures. If the ratio reaches or exceeds 100%, it indicates a surplus that can be allocated for institutional development. However, if the ratio is below 100%, a deficit occurs that must be addressed immediately through cost efficiency strategies, diversification of funding sources, and optimization of productive waqf assets. This study emphasizes that a systematic and sustainable financial strategy is essential for maintaining the financial stability of Islamic educational organizations. By implementing well-structured budget planning, strict supervision, and diversified funding sources, organizations can ensure financial sustainability and enhance the overall quality of Islamic education. 

Budget planning in Islamic educational institutions is a crucial factor in ensuring the sustainability and effectiveness of financial management. This article analyzes the strategies for preparing budget plans in Islamic educational institutions from operational and technical perspectives. Proper planning ensures the optimal allocation of resources to support the learning process, facility maintenance, and quality improvement in education. This study highlights the importance of transparency, accountability, and the use of performance-based approaches in budget management. Additionally, government regulations, stakeholder involvement, and the utilization of technology are key factors in enhancing the efficiency and effectiveness of budget planning in Islamic education. The findings of this study are expected to provide insights for Islamic education administrators in developing a more structured and sustainable financial strategy.

This research focuses on designing the shortest path to a docking station for the charging system of a robotic coffee delivery system on a cruise ship. With the growing demand for more efficient and innovative services in the maritime industry, autonomous robots are increasingly being used for tasks such as delivering coffee to passengers. However, these robots face unique challenges in the confined and dynamic environment of a ship, particularly in terms of power management and recharging. The goal of this research is to create an efficient charging system using a power bank and Internet of Things (IoT) technology to minimize downtime and ensure continuous robot operation with minimal human intervention. By utilizing sensors such as the MPU 6050 for motion detection and the TCS 3200 for color recognition, the robot can autonomously navigate the shortest path to the docking station for charging, while IoT enables real-time battery capacity monitoring. This helps reduce the time spent on non-operational tasks and improves the overall efficiency of the system. This research not only enhances the robot’s ability to operate autonomously in complex environments but also provides a flexible and scalable solution for the maritime industry to integrate advanced robotics into their service operations. The results of this study contribute to the increased adoption of autonomous systems in the maritime sector, particularly in improving service efficiency on board, reducing the need for human intervention, and ensuring smoother service delivery to passengers.

In the current digital era, SMEs in the culinary sector face challenges in adopting technology to improve operational efficiency. One solution to address this issue is the use of a simple and cost-effective QR Code-based application. This study aims to develop and implement siMenu, an application that provides table, order, and product management solutions without integrating complex digital payment systems. The method used is Project-Based Learning (PBL), which allows the development of technical skills while designing a sustainable business model through Business Model Canvas (BMC). The results show that siMenu successfully improved operational efficiency for SMEs, reduced ordering errors, and provided an easy-to-adopt solution with low implementation costs. However, challenges in application development and building user trust remain obstacles. The conclusion of this study is that simple digital solutions like siMenu can help SMEs in the culinary sector digitally transform and stay competitive in an increasingly evolving market.  

Waste management is increasingly critical due to the rising waste generated by community activities driven by a consumptive lifestyle. A key solution to this issue is the implementation of waste bank programs, though community participation and operational efficiency remain challenges, as seen with the Bangkitku Waste Bank in Jambi City. This study focuses on designing the user interface for the Bangkitku Waste Bank Information System using the design thinking method and evaluating the usability of the prototype. The design process followed the five stages of design thinking: empathize, define, ideate, prototype, and test, with data collected through interviews and observations. The analysis involved tools such as empathy maps, user personas, sitemaps, and user flows, with prototypes created using Figma. Usability testing was conducted with 10 participants, including administrators and customers, resulting in high usability scores—98 for administrators and 97 for customers. The majority of participants found the system easy to use, as indicated by responses on the Single Ease Question (SEQ) survey. The prototype met key usability criteria, improving both operational efficiency and community engagement in waste bank management. The findings demonstrate the system's potential to foster sustainable environmental practices and enhance the effectiveness of waste bank management.

This study aims to analyze the strengths, weaknesses, opportunities, and threats (SWOT) in the development of culinary MSMEs in Central Java Province. A descriptive qualitative approach was used, with data collection conducted through interviews, observations, and secondary document review. Data analysis was performed using the Miles and Huberman interactive model, which allowed for the systematic processing and interpretation of the gathered data. The findings revealed that the key strengths of culinary MSMEs in Central Java include clear market segmentation, strategic locations, and product innovation. These strengths enable the businesses to reach targeted customers effectively and maintain competitiveness in a dynamic market. However, the main weaknesses identified include limited utilization of digital technology and a lack of managerial development, which hinder their ability to scale and improve operational efficiency. The study also highlighted significant opportunities for growth, such as government support for MSMEs and the rapid development of digital technologies that can enhance marketing and operational processes. Despite these opportunities, the threats facing these businesses include intense competition from both local and global players, as well as a low level of interest in entrepreneurship among the younger generation, which limits the growth potential of new businesses. Based on the SWOT analysis, the study proposes a development strategy matrix that MSMEs and policymakers can use to address weaknesses, capitalize on opportunities, and mitigate threats. This strategy emphasizes the need for digital transformation, investment in managerial skills, and fostering an entrepreneurial culture to ensure the sustainable growth of culinary MSMEs in the region. The findings provide valuable insights for both business owners and policymakers to support the development of the culinary sector in Central Java

This research aims to analyze the impact of the merger between PT Indosat Tbk (ISAT) and PT Hutchison 3 Indonesia (H3I) on both companies. Through a merger analysis approach, we identify key factors that influence the success or failure of the integration between these two entities. The research method is literature review to search a financial information and annual reports. Qualitative and quantitative analyses are used to measure the impact of the merger on the financial, operational, and reputational performance of both companies. The research findings indicate that the merger between ISAT and H3I has a positive impact on operational efficiency and economies of scale. However, challenges related to technology integration, corporate culture, and human resource management are also identified as critical factors that need to be addressed. Furthermore, this research discusses the implications of the merger on the telecommunications market in Indonesia and its impact on industry competition. These findings provide valuable insights for business practitioners, regulators, and academics interested in the study of merger impacts in the telecommunications sector.

This study aims to enhance the quality of operational performance by implementing the Holonic Manufacturing System (HMS). The system involves dividing manufacturing processes into autonomous, collaborative, and participatory holons, including the Order Holon, Product Holon, Resource Holon, and Staff Holon. The primary objective is to optimize production efficiency by reducing costs, minimizing processing time, and increasing flexibility while improving overall organizational productivity. The research problem centers on evaluating the impact of holonic manufacturing on operational performance improvement. This study is significant as it addresses a critical issue for firms striving to enhance their efficiency and deliver value to customers. The adoption of HMS is not only a practical approach but also a widely recognized business strategy that has garnered interest from researchers and industry professionals alike.To achieve the study’s objectives, a structured questionnaire comprising 36 items was developed and distributed to participants. Two primary hypotheses were formulated to examine the relationship between HMS implementation and operational performance quality. Various statistical analyses were conducted using SPSS (version 24) and AMOS (version 24) to test the hypotheses and validate the findings. The results indicate a significant correlation and causal relationship between the Holonic Manufacturing System and operational performance quality. The findings suggest that implementing HMS effectively enhances organizational performance by improving production processes, increasing efficiency, and reducing operational constraints. Therefore, adopting this system can lead to a more agile, cost-effective, and productive manufacturing environment, making it a valuable strategy for modern organizations.

This study aims to analyze the efficiency of raw material inventory control for bread products at Rejeki Bakery in Mijen, Semarang, and to examine the application of the Material Requirement Planning (MRP) method in optimizing raw material inventory costs. The research employs a quantitative approach using secondary data as the main source. The data analysis technique utilized in this study is the Material Requirement Planning (MRP) method, which includes three inventory control techniques: Lot For Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). Each method was analyzed to determine the most efficient inventory cost. The results show that the raw material inventory cost using the Lot For Lot (LFL) method is Rp 2,400,000.00, the Economic Order Quantity (EOQ) method results in an inventory cost of Rp 2,992,600.00, while the Period Order Quantity (POQ) method incurs a cost of Rp 6,924,800.00. Additionally, the current raw material inventory cost under Rejeki Bakery’s management policy is Rp 2,681,600.00. Based on these findings, the implementation of the Material Requirement Planning (MRP) method at Rejeki Bakery in Mijen, Semarang, has demonstrated its effectiveness in improving the efficiency of inventory management. Among the three techniques analyzed, the Lot For Lot (LFL) method proves to be the most cost-effective, as it minimizes excess inventory while ensuring that production needs are met. This study highlights the importance of selecting an appropriate inventory control method to optimize costs and enhance operational efficiency in bakery production.

Supplier selection is a strategic element in supply chain management to ensure operational efficiency and business sustainability. This study aims to determine the best urea supplier for PT DSSA 1, a textile company specializing in dyeing and finishing processes, using the Analytic Network Process (ANP) method. This method was chosen for its ability to systematically analyze interdependencies among criteria, leading to more accurate and comprehensive decision-making. Data were collected through direct observation, in-depth interviews with internal company sources, and relevant literature reviews. The analysis was based on five main criteria: quality, price, service, delivery, and flexibility, each further broken down into sub-criteria. The results indicate that quality is the most critical criterion, with the highest weight of 23.19%, followed by price, service, and delivery, each with relatively balanced weights of 19.93%. Flexibility, although ranked last with a weight of 17.01%, remains relevant, especially for urgent orders. Based on the analysis, Supplier A was identified as the best choice with the highest overall weight, followed by Supplier B and Supplier C. This study provides practical contributions by offering strategic recommendations for PT DSSA 1 in selecting suppliers that support production efficiency and business sustainability. The study is limited in the scope of criteria and the number of suppliers analyzed. Future research is recommended to explore more variables, expand the sample size, and consider the implementation of digital technologies to optimize the supply chain.

This study aims to determine the optimal queue system configuration for online motorcycle taxi driver partner registration services at the PT XYZ Bali Branch Office using a quantitative approach. Data on arrival time, service time, and operational costs were analyzed through queuing theory using the POM-QM software. The analysis results show that although phases 1, 2, and 4 meet efficiency criteria (utilization below 70%), reducing the number of servers in phases 1 and 2 can lower operational costs, as the queuing cost is lower than the service cost. Meanwhile, phase 3 shows a high utilization rate (80%), but adding a server increases the total cost. Therefore, the study recommends implementing an interchange schedule to dynamically allocate servers during peak hours to maintain a balance between cost efficiency and service capacity. Additionally, the implementation of self-service in phase 2 is proposed to enhance efficiency without reducing service capacity, with experimental results showing an increase in service rates from 2 to 7 registrants per hour. These findings contribute to the development of a more efficient and applicable queuing model and serve as a reference for companies in improving service quality and registrant satisfaction.

MSMEs play a key role in the national economy, especially in increasing economic growth and creating new jobs. However, in the digital era, MSMEs face major problems, such as low levels of digital literacy, limited access to the internet, and fierce competition with large companies that have used technology before. This study examines the variables that influence the sustainability of MSMEs amidst digital challenges and finds methods that can be used so that MSMEs can survive and grow. The research method was carried out through surveys and direct interviews with MSME actors at Pasar Pagi Setia Budi, Medan, North Sumatra. The results of the study showed that most MSME actors did not utilize digital platforms for marketing and transactions, which resulted in decreased income. To increase competitiveness, MSMEs need to improve their digital knowledge, adopt online marketing strategies, and optimize the use of e-commerce and social media. Support from the government, financial institutions, and technology companies is also very important. In the increasingly competitive digital era, by implementing the right digitalization strategy, MSMEs can improve operational efficiency, expand market reach, and maintain the sustainability of their business.