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Leadership plays a crucial role in realizing digital transformation. Leaders who possess the ability to lead and utilize technology are called digital leaders. The era of information technology development, artificial intelligence, and the use of big data in the government sector will help improve services and accelerate work. The purpose of this study is to determine the role of digital leadership in digital transformation in the government sector. The research method used is a qualitative method with a literature study approach. The results show that the role of digital leadership is crucial in realizing digital transformation. By utilizing information technology, work processes in the government sector will be increasingly facilitated. In addition, the use of big data will simplify the decision-making process by leaders. Digital leadership also influences organizational culture, creating an environment that is more adaptive to technological changes. This enables government organizations to innovate more quickly in facing global challenges and increase operational efficiency. Furthermore, digital leadership also encourages collaboration between government agencies to achieve the common goal of accelerating digital transformation.

The effectiveness of a retail store layout plays a crucial role in supporting operational efficiency, service flow, and customer experience. Brother Parfume, a perfume refill retail store, currently applies a bar-service layout designed based on intuition and daily operational needs rather than systematic planning. This often results in inefficient movement patterns, limited space utilization, and suboptimal coordination among functional areas. This study aims to redesign the store layout by applying the Entity Relationship Chart (ERC) and Total Closeness Rating (TCR) methods to identify functional relationships and determine the ideal spatial arrangement. Data were collected through direct observation and semi-structured interviews with the store owner to understand the interaction between service areas, product displays, and storage sections. The ERC analysis shows that the service area, perfume display, and bottle display have the highest functional interdependence, while the storage area has the lowest necessity for proximity. TCR results confirm these findings, with the service area and perfume display each scoring 90, bottle display 21, and storage 3. Based on these results, two alternative layouts are proposed that integrate high-priority areas into a unified service zone and position storage separately to minimize unnecessary movement. The redesigned layout is expected to enhance service speed, optimize space utilization, support operational procedures, and strengthen the store’s servicescape. This research contributes practical insights into the application of ERC and TCR methods for small-scale retail operations, particularly in the perfume refill sector, where service efficiency and spatial constraints are critical.

Fortuna Furniture still manages its inventory manually, which causes many problems, including delayed reports, inaccurate information, and the potential for lost records. These issues affect the quality of decision-making and operational efficiency. This service aims to build a web-based inventory information system that improves speed, accuracy, and integration in inventory management. The system development process follows the Waterfall model SDLC approach, with requirements analysis, design, implementation, and testing supported by interviews, observation, and documentation. The results of the activity show that the developed system can reduce input errors, speed up the process of recording incoming and outgoing goods, and enable real-time stock monitoring. Additionally, the report generation process becomes more efficient and easier for management to access. Overall, the use of this information system significantly improved the efficiency of Fortuna Furniture's inventory management and demonstrated the importance of digitalization in helping businesses run more smoothly.

Blasting and crushing are essential stages in the limestone mining process; however, both stages may contribute to material volume loss due to technical factors and geological conditions. This study aims to analyze the blasted volume, crushed volume, and the amount of volume loss occurring throughout these processes. The research utilizes primary data including blasting geometry, blasting patterns, crushing production, and secondary data such as regional geology and equipment specifications. Based on 15 blasting activities conducted from October to December 2024, the total blasted volume reached 71,691 tons with an average powder factor of 0.23 kg/m³. Meanwhile, the total volume produced from secondary crushing was 71,575 tons. The comparison indicates volume loss influenced by suboptimal fragmentation, rock characteristics, work efficiency of the crushing unit, and operational constraints in the field. The results of this study are expected to serve as a reference for optimizing blasting design and crushing operations to minimize volume loss and improve overall mining productivity.

This study aims to analyze and compare rice inventory valuation using the FIFO, FEFO, and Average methods in determining the cost of goods sold (COGS) at UD. Rahayu Indah. This study uses a quantitative descriptive approach with a perpetual inventory recording system. Data were collected through observation, interviews, and documentation from January to December 2024. The results show that each method produces different COGS values: the FIFO method produces the lowest COGS, followed by FEFO, while the Average method produces the highest COGS. This difference is influenced by cost allocation based on the order of goods in and out and price fluctuations during the production period. These findings indicate that the FIFO method is the most effective method to be applied at UD. Rahayu Indah because it reflects the logical physical flow of goods, supports cost efficiency, and increases the company's gross profit. In addition, this method is also in line with the company's operational characteristics, which have stable purchasing patterns and are in accordance with the principles of PSAK No. 14 on inventory. The results of this study are expected to assist UD. Rahayu Indah's management in determining an inventory valuation strategy that is efficient, accurate, and supports business sustainability.

The International Maritime Organization (IMO), as one of the key organizations contributing to the reduction of carbon emissions in the maritime sector, offers several options that maritime industry stakeholders can utilize to measure carbon emissions, one of which is calculating the Energy Efficiency Operational Indicator (EEOI). The statistical x-bar control chart, employed as a monitoring instrument for the EEOI quality parameter, indicates that one container ship trip recorded an EEOI value of 0.00104, which exceeded the upper control limit of 0.00098. The results of process capability analysis on the initial dataset sample revealed that the value of Cp < 1, indicating that energy efficiency performance was not satisfactory. Process control was subsequently applied by eliminating anomalous data, which demonstrated a potential reduction in fuel consumption and EEOI by approximately 25%, as reflected in the improvement of the Cp value. The potential for enhancing the ship’s operational capability, however, still requires further control measures to improve energy efficiency performance. The reduction in fuel consumption directly contributes to lower emission levels, thereby supporting the realization of a sustainable shipping industry.

Global economic developments show the acceleration of the adoption of circular business models, where resource efficiency and waste reduction are the main focuses to answer sustainability demands and SDGs targets. Although this trend is strengthening globally, MSMEs, especially those based on family businesses, are still lagging behind in their implementation, even though digitalization is increasingly opening up opportunities for operational optimization and innovation. The urgency of this research arises from the need to understand how the digital mindset and transformation of family business management can accelerate the readiness of MSMEs in implementing circular business practices. The novelty of this research lies in the integration of the three strategic concepts into a single analytical framework through the Systematic Literature Review (SLR), a perspective that has rarely been combined in previous studies. With the SLR method based on the PRISMA protocol, this study shows that MSMEs already have a strong foundation in the digital mindset, including technology readiness, innovation orientation, and adaptation of digital business models. Family business values have also been proven to support business continuity through knowledge transfer and long-term investment. However, the implementation of circular business practices is still weak, especially in resource cycle management, sustainable product design, and environmental impact measurement. The implication is that the synergy of digital mindset and family business governance can strengthen the transition of MSMEs to a circular economy that directly supports the achievement of the SDGs, especially in the areas of sustainable consumption-production and industrial innovation.

This study aims to develop and implement a web-based Library Information System as a means to enhance literacy within the Kampoeng Baca Pelangi (KBP) Community. The system is designed to simplify library data management processes that were previously performed manually, including book cataloging, member registration, borrowing, returning, and the generation of operational reports. The development process follows the Waterfall method, starting from requirement analysis, system design, implementation, up to system testing. The results indicate that the system successfully meets the primary needs of the library administrators, based on feasibility testing involving internal KBP respondents. Evaluation through a Likert-scale questionnaire produced a score of 94%, indicating that the system falls into the “Highly Feasible” category for use. Features such as book data management, borrowing/return transaction processing, collection search, and report generation are proven to enhance the efficiency and accuracy of library operations.

PAMTIRTA Tempino is an institution that provides clean water services in the Tempino area. The process of recording water use and monitoring water turbidity is still done manually, making it prone to recording errors and making it difficult to monitor the water quality distributed to the community. This study aims to design a website-based water turbidity recording and monitoring system by focusing on User Interface (UI) and User Experience (UX) aspects using the Design Thinking method. The research follows five stages of Design Thinking: empathize, define, ideate, prototype, and test. Data collection involves observation and in-depth interviews with PAMTIRTA officers. The results include a design with key features such as digital water meter recording, turbidity monitoring dashboards, and complaint services. The prototype was tested using Maze and the System Usability Scale (SUS), achieving a score of 80.1 and falling into the "Good" category (grade B). These results demonstrate that the UI/UX design effectively provides an easy-to-understand, operationally suitable, and efficient solution for PAMTIRTA Tempino's water recording and turbidity monitoring needs. This design offers a ready-to-implement solution to improve the efficiency, accuracy, and quality of clean water services in the Tempino area.  

This study aims to systematically evaluate the effect of Exhaust Gas Recirculation (EGR) variation on engine performance and exhaust emissions in dual-fuel diesel–CNG compression ignition engines, in response to increasing emission regulations and the need for cleaner yet practical combustion technologies. The research employs a comparative review approach, synthesizing experimental findings from selected peer-reviewed studies to analyze the influence of different EGR rates on key performance indicators, including Brake Thermal Efficiency (BTE) and Brake Specific Fuel Consumption (BSFC), as well as major emission components such as NOx, HC, CO, and smoke. The findings indicate that increasing EGR rates effectively reduce NOx and smoke emissions due to lower combustion temperatures and oxygen dilution; however, excessive EGR leads to deteriorated combustion efficiency, reflected in reduced BTE and increased HC and CO emissions. An intermediate EGR level, particularly around 10%, is consistently identified as providing the most favorable balance between emission reduction and performance retention in dual-fuel diesel–CNG operation. These results imply that optimized EGR control is a critical parameter for improving the environmental performance of dual-fuel engines without significant efficiency penalties, supporting its application as a transitional technology toward cleaner transportation systems. The originality of this study lies in its integrated comparative synthesis of performance–emission trade-offs across multiple EGR levels and fuel substitution ratios, offering a clearer operational insight that is not explicitly addressed in individual experimental studies.

The manual employee attendance process at the Perjuk Village government level often results in inaccurate data, delayed recapitulation, and difficulties in real-time attendance monitoring. This study aims to develop an Internet of Things (IoT) and Radio Frequency Identification (RFID)-based village employee attendance system to simplify the administrative process and improve the efficiency of attendance recording. The development method used is the Research and Development (R&D) model with stages including needs analysis, system design, validation, field trials, and product revisions. The system was built using an ESP32 microcontroller, an RC522 RFID module, and a Wi-Fi connection to transmit attendance data to a web-based server. Testing was conducted using the black box method to ensure all system features run according to design. The results of the black box test show that all features run according to design. The system records attendance automatically with 100% accuracy, saves data to the server database, and displays reports in the form of tables, graphs, and statistical cards. The study concludes that this IoT and RFID-based attendance system is able to improve the accuracy, speed, and efficiency of recording compared to manual methods, and is in accordance with operational needs at the Perjuk Village Office.

The main problem with the water heating system on offshore platforms is the absence of water level monitoring and automatic overflow detection. This has the potential to cause hot water spills that endanger workplace safety and operational efficiency. This research designs and implements a water level monitoring system based on the Arduino Uno microcontroller with HC-SR04 ultrasonic sensors. The system is equipped with LED indicators, a buzzer alarm, and a 16x2 LCD to display water level status in real-time. Water levels are classified into three zones (low, medium, high), and overflow is detected if the water is within 3 cm of the sensor. Testing was conducted on a 5-liter simulation tank representing actual 500-liter tank conditions. Test results showed a reading accuracy of 96% and a quick system response to overflow conditions (<1 second). This system is economical, easy to develop, and highly applicable for offshore environments. In addition, this system can be integrated with IoT technology for remote monitoring.

PT Mandiri Banana Indonesia still requires further development and arrangement of its layout and facilities to enhance the efficient and optimal use of land. This study aims to determine whether the existing layout at PT Mandiri Banana Indonesia is effective in supporting operational flow and the uninterrupted progression of the production process. The research adopts a quantitative descriptive approach, which is used to measure the correlation between activities through the Activity Relationship Chart (ARC) and Total Closeness Rating (TCR) methods. These methods enable the analysis to be presented in a measurable and objective manner as a basis for improving the facility layout. This study proposes a new layout design for the main production area and supporting facilities. The proposed layout is based on the results of ARC and TCR analyses, which indicate several critical spatial interrelationships among the facilities. Based on the findings and discussion regarding the application of the Activity Relationship Chart (ARC) and Total Closeness Rating (TCR) in designing the facility layout at PT Mandiri Banana Indonesia, it may be inferred that layout improvement exerts a significant impact on enhancing workflow efficiency and the overall work environment. The proposed alternative layout is expected to achieve a safer, more hygienic, and more productive spatial arrangement by establishing a clear separation between the production zone, administrative zone, and supporting areas.

The livestock sector in Gowa Regency, South Sulawesi, has great potential but is often threatened by outbreaks of Foot and Mouth Disease (FMD), which cause significant economic losses. This study aims to evaluate the FMD control policies implemented by the Gowa Regency Government based on William Dunn's six policy evaluation criteria: effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The study used a qualitative approach with primary data collected through in-depth interviews with key informants from the Livestock and Animal Health Division of the Gowa Regency Livestock and Plantation Service and supporting data from various literature. The findings show that the FMD control policy is effective in achieving zero cases, but efficiency is hampered by limited medical personnel (only two veterinarians) and operational budget dependence entirely on the Central Government. Vaccine adequacy is a pull sistem (demand-driven) and compensation distribution is carried out fairly. Community responsiveness increased after severe losses, and policy accuracy was considered most optimal in the implementation of biosecurity and sanitation while promoting vaccination. As a recommendation, the Gowa Government needs to recruit contract workers in the field of animal health, allocate funds for the procurement of operational vehicles and equipment to support laboratory facilities, and issue a Regent Regulation that strictly regulates the implementation of biosecurity and livestock housing patterns in high-risk areas.

This study analyzes the gap in the implementation of Information Technology IT service management at an internet service provider in Purwokerto using the ITIL V4 Service Value System SVS framework. The company faces a number of major problems, such as delays in incident handling, data fragmentation between operational applications, low automation in network monitoring, and suboptimal coordination between the technical and customer service divisions. The purpose of this study is to evaluate the level of compliance of current service practices with ITIL V4 SVS best practices and to formulate recommendations for improvements that can increase operational efficiency and service reliability. The research uses a qualitative descriptive method with a case study approach, with data collected from interviews and observations in the technical and customer service divisions, then analyzed based on the five main components of ITIL V4 SVS. The results show that the company has implemented several ITIL principles, particularly in terms of customer value focus and process simplicity, but the implementation of iterative feedback, data integration, and automation is still at a low level of maturity. This study concludes that strengthening the real-time monitoring system, increasing cross-divisional visibility, and establishing a Continual Improvement Register are important steps towards realizing more efficient, responsive, and sustainable IT service management.

This study aims to analyze quality control at the Lekkerz Enakk business in Bogor branch using three statistical tools, namely Checksheet, Pareto Diagram, and Fishbone. Data collection was conducted through interviews with the owner, admin, and employees, as well as direct observation at the nearest branch location regarding the production process. Based on the results of the observation, three defects were found that frequently occurred during the production process within a period of seven days with the most dominant lekker product damage being a non-crispy texture (42%), and non-uniform color (27%). Based on the fishbone analysis, these defects were caused by Man (human), Machine (machine) factors. The implications of this study indicate that it is necessary to improve operational standards, workforce training, and supervision of raw materials and production equipment to maintain the quality and efficiency of the lekker production process at the Lekkerz Enakk business in Bogor.

This research is motivated by the importance of managerial skills in improving business productivity and efficiency, particularly in the entrepreneurial sector, which faces the challenges of competition, market changes, and limited resources. The objective of this study is to analyze the role of managerial skills development and its contribution to optimizing entrepreneurial performance. The method used is a Systematic Literature Review (SLR), which examines various relevant scientific publications and then categorizes the findings to obtain a comprehensive overview of effective strategies for improving managerial competency. The results indicate that technical skills, human relations skills, and conceptual skills play a significant role in supporting decision-making processes, resource management, and adapting business strategies to business dynamics. The findings also indicate that training, mentoring, continuous learning, and the use of technology are development strategies capable of significantly increasing productivity and efficiency. The implications of this research emphasize that improving managerial skills is a strategic necessity for entrepreneurs to strengthen competitiveness, increase operational effectiveness, and promote business sustainability. Furthermore, this research provides a basis for the development of more structured training programs and supporting policies to strengthen the managerial capacity of entrepreneurs.

The study aims to improve the passion fruit syrup production system at Harisma Home Industry, which has been hindered by an inefficient facility layout and complicated raw material flow. These issues lead to longer processing time, higher operator workload, and reduced production capacity. To solve this, the research uses the Activity Relationship Chart (ARC) and Total Closeness Rating (TCR) to evaluate and redesign the layout. TCR results show that the Raw Material Warehouse has the highest priority with a score of 119, requiring an Absolutely Important (A) relationship with the Production Room. The Parking Area and Waiting Room also fall into the Absolutely Important category, as they support smooth movements of materials and visitors. Meanwhile, the Toilet has a Very Important (E) relationship with the Waiting Room due to comfort and accessibility needs. Based on these proximity requirements, a new layout was designed by placing the Raw Material Warehouse next to the Production Room to create a faster and more efficient material flow. Other facilities were rearranged to minimize unnecessary movement. This new layout is expected to streamline processes, reduce congestion, and enhance overall capacity and operational performance.

This study explores the impact of Artificial Intelligence (AI) integration and algorithm transparency on organizational efficiency and perceived fairness in Human Resource (HR) decision-making. Using a qualitative literature review approach, the research examines the mediating role of employee trust and the moderating influence of organizational culture. The analysis focuses on peer-reviewed international studies published since 2020, reflecting the latest theoretical and empirical developments in AI and HR management. The findings reveal that a higher level of AI integration improves decision speed, reduces operational costs, and increases the accuracy of talent allocation. However, these efficiency gains are not independent of ethical considerations. Transparent algorithms are shown to significantly enhance employees’ trust and perceptions of fairness, whereas opaque systems tend to generate resistance and distrust. Furthermore, organizational culture plays a crucial moderating role. Companies with innovative and participatory cultures report better outcomes from AI implementation, while hierarchical cultures are associated with lower adoption success and ethical challenges. This research highlights the importance of aligning technical capabilities with social and cultural factors to optimize the use of AI in HR functions. The study contributes to the discourse on socio-technical systems by proposing an integrative framework that links AI integration, transparency, trust, and culture to key organizational outcomes. Practical implications include the need for transparent system design, ethical governance, and cultural readiness to support responsible AI adoption in HR.

This study investigates the impact of green accounting practices on corporate environmental performance, with a focus on manufacturing firms in Indonesia. Green accounting, which involves the identification, measurement, and reporting of environmental costs, is increasingly recognized as a strategic tool for enhancing corporate accountability and sustainability. However, in developing countries, its implementation remains limited and fragmented. Using a qualitative approach, this research explores how green accounting mechanisms are integrated into corporate decision-making processes and how they influence key environmental performance indicators such as energy efficiency and waste reduction. Data were collected through semi structured interviews with environmental and finance managers from five companies actively participating in the PROPER environmental rating program. Thematic analysis revealed that firms with advanced environmental accounting practices achieved higher energy savings and waste reduction outcomes, as well as superior PROPER ratings. These improvements are directly linked to the strategic use of environmental data in operational planning and investment decisions. Nonetheless, challenges such as the lack of technical guidelines, insufficient human resources, and the absence of standardized frameworks remain significant barriers to broader adoption. The study contributes to the growing literature on sustainability accounting in emerging economies and offers practical implications for policymakers and corporate practitioners seeking to institutionalize green accounting as part of sustainable business governance.