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This study investigates the role of knowledge management (KM) capabilities in enhancing managerial decision-making within organizational settings. Using a systematic review approach, ten peer-reviewed journals published between 2019 and 2024 were analyzed to identify key themes, patterns, and empirical findings related to knowledge management implementation and its influence on decision-making processes. The review reveals that strong knowledge management capabilities particularly in knowledge acquisition, storage, sharing, and utilization significantly contribute to improving the accuracy, speed, and strategic quality of managerial decisions. The findings also show that organizations with well-developed knowledge management infrastructures, supported by digital technologies and a culture of knowledge sharing, demonstrate greater adaptability, innovation, and problem-solving effectiveness. This study concludes that knowledge management capabilities are essential for strengthening evidence-based decision-making and enhancing organizational competitiveness. Implications for managers emphasize the need to invest in knowledge management systems and foster collaborative knowledge practices. Suggestions for future research include expanding the scope to cross-industry comparisons and integrating knowledge management with emerging technologies such as AI-based decision support systems..

Anesthesiology and emergency care require rapid and accurate clinical decision-making. Artificial intelligence (AI) offers substantial potential to support triage, monitoring, and decision-making in critical and emergency anesthesiology settings. This scoping review maps the use of AI in clinical decision-making and emergency patient management in anesthesiology and identifies existing research gaps. A literature search was conducted in ScienceDirect, PubMed, Cochrane Library, and Google Scholar for articles in Indonesian or English published between 2020 and 2025. Study selection followed Tricco’s scoping review framework, and methodological quality was assessed using Joanna Briggs Institute (JBI) tools. Ten articles met the inclusion criteria. AI was shown to improve triage accuracy and efficiency (predictive accuracy up to 99.1% and reductions in waiting time of around 30%). Machine learning models effectively predicted critical care needs and emergency risk, while AI-based clinical decision support systems (CDSS) enhanced the speed and quality of clinical decisions. Key challenges include data bias, ethical and privacy issues, clinician readiness, and integration with hospital information systems. AI and CDSS have strong potential to improve patient safety and clinical decision-making in emergency anesthesiology. Strengthening AI literacy, supportive regulation, and transparent, context-appropriate predictive models are needed for safe and sustainable implementation.

Production quantity planning is a crucial component in the bottled water industry (AMDK) to ensure that consumer demand is met efficiently. Inaccuracies in determining the amount of production can lead to overproduction and supply shortages, which ultimately leads to increased operational costs and decreased customer satisfaction. This study applies the Sugeno fuzzy logic method to predict the amount of production based on two main variables, namely weekly demand and raw material stock. The analysis stages include the fuzzification process, the preparation of the rule base, inference using the zero-order Sugeno method, and defuzzification using the Weighted Average (WA) method. The data used is synthetic data that represents the operational conditions of the medium-scale bottled water industry. The results show that the Sugeno fuzzy system is able to produce production predictions that are adaptive and responsive to fluctuations in demand and stock availability. This model provides consistent and stable output, so it can help companies in determining the optimal production amount. These findings confirm that Sugino's fuzzy approach can be an effective decision support tool in bottled water production management, especially in the face of uncertainty and variability in market demand.

Political communication is a process of conveying political messages involving political actors, government, power, and various activities within the political system. As a branch of communication science, political communication focuses on how political messages are constructed, delivered, received, and interpreted by the public, as well as how these processes influence public opinion and political decision-making. In the context of this study, the optimization of the village head’s political communication in developing th Village-Owned Enterprise (BUMDes) can be seen through the policy directions undertaken, such as providing training for livestock farmers particularly goat farming and managing village deliberation meetings (musdes) that support the sustainability of BUMDes programs. This research employs a descriptive qualitative method conducted in Laweyan Village, Sumberasih Subdistrict, Probolinggo Regency, with data collected through observation, interviews, and documentation. Dan Nimmo’s political communication theory serves as the analytical framework. The findings indicate that the Laweyan Village Government consistently strives to improve the community’s economy through the development of BUMDes, particularly in the agricultural and livestock sectors. Innovations carried out by the village government and BUMDes management, especially within the goat farming unit, have significantly contributed to the progress and sustainability of the enterprise.

Investments in information technology (IT) often fail to deliver the expected added value due to excessive dependence on external suppliers, inflexible technological systems, or infrastructures that are highly vulnerable to various operational and security risks. This article analyzes organizational strategies to ensure the realization of added value from IT investments through the integration of strategic alignment and comprehensive risk management practices. By implementing strategic alignment, organizations are able to synchronize IT initiatives with core business objectives, organizational processes, and long-term strategic goals. At the same time, effective risk management plays a crucial role in reducing detrimental dependencies, including risks related to data breaches, system failures, cyber threats, and operational disruptions. This approach is supported by an extensive review of literature from credible and relevant academic sources, which demonstrates that systematic risk mitigation can significantly enhance organizational resilience, reliability, and overall value creation from IT investments. As a result, organizations are better positioned to optimize performance, improve decision-making capabilities, and ultimately achieve a sustainable competitive advantage in an increasingly digital business environment.

Chronic kidney disease is an increasingly prevalent health issue that requires more precise clinical data-based early detection methods to enable timely and appropriate treatment. This study focuses on developing a predictive model for chronic kidney disease using the Light Gradient Boosting Machine (LightGBM) algorithm and enhancing its performance through hyperparameter optimization with the Grey Wolf Optimizer (GWO). The dataset used originates from public sources and undergoes several preprocessing steps, including missing value imputation, categorical feature encoding, outlier handling, initial feature selection, and stratified data splitting to maintain model quality. Three modeling approaches were evaluated: LightGBM with default parameters, LightGBM enhanced using Random Search, and LightGBM optimized with GWO. The experimental results indicate that the baseline model already performs well, Random Search improves accuracy and F1-score, and GWO achieves the highest AUC-ROC value despite requiring longer computation time. Significance testing through cross-validation shows that the performance differences among the three models are not statistically significant, suggesting that the observed improvements are not strong enough to determine a definitively superior optimization method. The feature importance analysis highlights that clinical indicators such as creatinine levels, glomerular filtration rate, blood pressure, and urine protein contribute most prominently to the prediction. Overall, the study demonstrates that LightGBM is a reliable model for early detection of chronic kidney disease, and hyperparameter optimization still offers added value that can support the development of AI-based clinical decision-support systems

This study aims to explain how the implementation of a Financial Management Information System (MISK) can improve decision-making capabilities in Micro, Small, and Medium Enterprises (MSMEs). In the digital era, MSMEs are required to manage their finances quickly, accurately, and in an integrated manner to compete in a dynamic market. The SIMK offers a solution to simplify the process of recording, analyzing, and reporting financial information in real time, enabling business decisions to be based on valid data. Analysis of various studies shows that the implementation of a MISK can improve operational efficiency, financial reporting transparency, and the quality of managerial decisions. However, its effectiveness is greatly influenced by financial literacy, digital readiness, and the ability of human resources to operate the system. Many MSMEs still have not fully utilized technology due to limited capital and accounting knowledge. With training and government policy support, the implementation of a MISK is expected to strengthen the competitiveness of MSMEs, increase productivity, and achieve professional financial governance.

The development of information technology (IT) has become a crucial element in improving operational efficiency and business competitiveness in the digital era. This study aims to design an information technology infrastructure strategy for a local skincare company that currently still faces obstacles due to fragmented communication processes and manual data recording. The research method uses the Ward and Peppard framework, supported by SWOT and Value Chain analysis to identify the internal and external business environment and formulate an IS/IT strategy that aligns with the business strategy. The research approach is descriptive qualitative through interviews, observations, and literature studies. The analysis results indicate that the main problem lies in the lack of infrastructure capable of integrating production, distribution, and inventory management processes. Based on these findings, this study recommends designing an infrastructure strategy that supports the implementation of the integrated system "Sivendor". This system functions as a hub that connects workflows between production vendors, warehouses, and sales departments. In conclusion, this study produces a blueprint for an adaptive IT infrastructure strategy as a technical foundation to minimize data errors, improve operational efficiency, and support real-time decision-making.

The Marketing Mix strategy is a combination of various marketing elements that include product, price, distribution place, and promotion. The Marketing Mix strategy, also known as the marketing mix is a concept in marketing that explains four main elements that must be managed in an integrated manner to achieve marketing objectives. In general practice, the using of QRIS is a payment standard using a QR code developed by Bank Indonesia and the Indonesian Payment System Association to simplify and accelerate digital transactions. Through VOSviewer analysis, the implementation of QRIS can have a positive impact on the operations and business performance of MSMEs, and the marketing mix strategy in the context of business digitalization becomes an important approach to maintaining MSME competitiveness. The results of the VOSviewer visual map analysis and the review of previous State of the Art research indicate that most existing studies still focus on aspects of QRIS adoption and transaction efficiency alone. These studies generally highlight how digital payment system is able to  improve the speed, security, and convenience of transactions but have not yet widely linked them directly to marketing mix strategies and consumer purchasing decisions. This indicates a research gap in understanding the role of QRIS is not only as a transaction tool but also as part of the marketing strategy that influences consumer behaviour.

The manual driver scheduling system in the “Mobil keluarga”Rudi car rental Medan business often faces conflicts and inefficiencies. Problems such as driver double-booking, where Driver A is scheduled to accompany Guest B while still serving Guest C, lead to service delays and customer dissatisfaction. This research aims to design and implement a driver allocation module integrated with a Geographic Information System (GIS) to optimize the scheduling process. The method used is Research and Development (R&D) with data collection through interviews and system design using UML and prototyping in Figma. The proposed system utilizes GIS to map driver locations in real-time and identify the nearest available driver to a customer, thereby reducing allocation decision time. It is hoped that this research can produce a system design that serves as a solution to improve service efficiency and operational productivity in Rudi car rental Medan businesses. The integration of GIS in driver allocation is the novelty of this study in the context of small and medium-sized rental businesses.

Digital transformation in the field of information technology requires Micro, Small, and Medium Enterprises (MSMEs) to improve the quality of financial management to be able to compete sustainably. One effort that can be done is through the implementation of the Financial Management Information System (MISK). This study aims to analyze the implementation of MISK in MSMEs, examine the benefits obtained, and identify obstacles faced in the implementation process. The research method used is a qualitative descriptive approach with data collection techniques through interviews, observation, and documentation. The object of the study is the culinary MSME "Dapur Lestari Jambi" which has implemented a digital financial recording application and Point of Sale (POS) system. The results of the study indicate that the implementation of MISK can increase the accuracy of transaction recording, accelerate the preparation of financial reports, improve cash flow management, and support data-based managerial decision-making. However, the implementation of MISK still faces several obstacles, especially related to limited human resource competency, consistency of recording, and adaptation to technology. This study concludes that the Financial Management Information System has a strategic role in increasing the efficiency, transparency, and professionalism of MSME financial management, and is an important factor in supporting business sustainability in the digital era.  

This study ims to analyze the implementation of a real-time inventory management system, identify challenges in the current inventory process, and provide appropriate solutions. Based on observations, inventory data management at PT. Tirta Investama still relies on manual and semi-computerized methods, resulting in inventory discrepancies, delays in information updates, difficulties in real-time monitoring, and inefficiencies in report generation and distribution processes. This research employed Library Research and Field Research methods. The system involves two user roles, namely Supervisors and Checkers. Supervisors are responsible for managing products, incoming and outgoing goods, transactions, and user accounts, while Checkers verify document consistency for goods processing activities. The system was developed using PHP Native and MariaDB version 10.4.27. The implementation of this system is expected to improve inventory monitoring in real time, enhance data accuracy, minimize recording errors, support faster decision-making in procurement and distribution activities, and facilitate more efficient report generation.

Corruption continues to be one of Indonesia’s most severe criminal issues, generating substantial financial losses for the state and obstructing the country’s development efforts. Judicial rulings in corruption cases therefore play a vital role in supporting anti-corruption initiatives, both in terms of ensuring fairness and creating a strong deterrent effect. This study evaluates how effective court decisions are in sentencing corruptors in Indonesia by analyzing justice and deterrence dimensions through a socio-legal research approach supported by descriptive analysis. The findings indicate that the effectiveness of judicial decisions remains limited due to disparities in sentencing, lenient punishments that fail to reflect a sense of justice, and the influence of various legal as well as extralegal factors. These issues weaken the credibility of the judicial process and reduce the intended preventive impact of court-imposed sanctions. To enhance effectiveness, the study highlights the need for comprehensive reforms, including clearer sentencing guidelines, improved law enforcement capabilities, and stronger oversight mechanisms to ensure accountability. Overall, this research enhances understanding of the structural challenges within Indonesia’s anti-corruption justice system and proposes recommendations aimed at reinforcing the deterrent value of court decisions through sentencing practices that are more consistent, proportionate, and aligned with the severity of corruption offenses.

This study explores the implementation of an electronic Human Resource Management System (e-SDM) in the Gubeng sub-district of Surabaya to optimize civil servant (PNS) leave management. The primary focus is on assessing how digitalization improves efficiency, transparency, accountability, and service quality in human resource administration, particularly in leave processing. Traditionally, manual procedures required 7-14 days to approve leave requests, involved multiple steps, manual calculations, and were prone to errors, delays, and lack of transparency. The introduction of the e-SDM system significantly reduces processing time to approximately one day, enabling online submission, real-time monitoring, and electronic approval accessible anytime and anywhere via smartphones. The system automatically calculates leaves balances and prevents over-application, ensuring data accuracy and reducing misuse. Besides operational efficiency, the system enhances transparency by providing accessible real-time status updates, creating an audit trail for each decision, and making the process auditable and accountable. Despite these advantages, challenges such as user resistance, digital literacy, infrastructure issues, and system integration remain. This research employs descriptive-analytical methods, combining interviews, observations, and documentation, to analyze the effectiveness of e-SDM implementation. The findings indicate that digitalization has streamlined leave management, minimized administrative burdens, and improved data accuracy. Moreover, it fosters a fairer and more transparent work environment, reinforcing good governance principles and supporting Surabaya's vision to become a smart city. The research underscores the importance of technological adaptation within bureaucratic reforms and offers strategic recommendations for further system improvements. Overall, the successful adoption of e-SDM in Gubeng serves as a model for digital transformation in public service delivery, contributing to more efficient, transparent, and accountable governance in local government institutions.

This study aims to implement an information retrieval system for cryptocurrency data using an attribute-based approach integrated with the Vector Space Model (VSM). The primary objective is to develop a system capable of retrieving the most relevant digital asset information according to specific search attributes, including positive sentiment, price fluctuation, and prediction confidence level. The research adopts a descriptive qualitative method combined with an experimental approach to evaluate the retrieval performance of the cosine similarity algorithm on normalized numerical data. Data preprocessing and attribute weighting were conducted to ensure consistency and improve retrieval accuracy. The experiment demonstrates that the proposed system achieves a Precision@5 value of 1.0, which indicates that all top-five retrieved results are fully relevant to user queries. These findings validate the effectiveness of the attribute-based VSM in analyzing multidimensional cryptocurrency datasets. Overall, this research contributes to the advancement of information retrieval applications in the cryptocurrency domain, particularly for supporting data-driven decision-making and intelligent financial analysis.

The development of digital technology and the Internet of Things (IoT) has transformed the paradigm of urban development towards the concept of a smart city based on data and connectivity. This study analyzes the nature of smart cities through three dimensions of the philosophy of science: ontology, epistemology, and axiology. From an ontological perspective, a smart city is understood as a complex entity consisting of physical, digital, social, and ecological systems that interact with each other to create efficient and adaptive urban governance. Epistemologically, knowledge in a smart city is obtained through the process of collecting, processing, and analyzing data from various IoT devices, sensors, and citizen participation, thereby producing new insights that support evidence-based decision-making (data-driven governance). From an axiological perspective, a smart city has ethical values and goals to improve the quality of life of its citizens, strengthen government transparency, maintain environmental sustainability, and promote inclusive social participation. Thus, this study asserts that the development of a smart city is not only technological but also has a philosophical foundation oriented towards a balance between efficiency, humanity, and sustainability.

This article examines the operational management model of villages in Garut Regency, West Java, by emphasizing four key dimensions: governance, digital innovation, community participation, and the optimization of local resources. The study explores how the integration of participatory governance, technological innovation, and local potential can strengthen the effectiveness of village development and build an adaptive, sustainable governance system in the era of digital transformation. Using a Systematic Literature Review (SLR) approach, the research analyzes scientific publications and policy documents sourced from international databases such as Scopus and Web of Science, as well as national references including the 2025–2030 Garut Regency Medium-Term Development Plan (RPJMD) and reports from the Ministry of Villages, Disadvantaged Regions, and Transmigration. From an initial pool of 126 publications, 32 primary sources were examined through thematic coding to identify patterns, relationships, and key insights related to village governance, multi-actor collaboration, and public service digitalization. The findings reveal that good governance enhances transparency and accountability, digital innovation improves efficiency and data-driven decision-making, community participation strengthens social legitimacy, and the optimization of local resources supports sustainable economic value creation. These elements form the “Integrative Operational Management Model for Garut Villages,” which emphasizes adaptive collaboration and data-based management. The study also proposes practical strategies related to digital capacity-building, participatory planning, and applied research.

The employee leave application information system is a digital solution designed to simplify the process of submitting, approving, and managing leave within an institution. This internship project resulted in the development of a system called SiCuti, which was built using the Laravel framework with a MySQL database. The system provides two main roles: employees and administrators/supervisors. Employees can apply for leave according to their entitlements, such as annual leave with a maximum of 12 working days, maternity leave for 3 months, pilgrimage leave (Hajj) which can be taken once during their service period, as well as special leave for important reasons such as marriage or the death of an immediate family member, typically lasting 1–3 days. When applying, employees may also upload supporting documents and monitor the status of their applications through the leave status menu.Administrators or supervisors have broader authority, including reviewing the list of leave requests, approving or rejecting applications, and managing employee leave quotas to ensure compliance with regulations. In addition, administrators can track the complete leave history of employees through an integrated dashboard. This feature supports faster, more transparent, and accountable decision-making processes.The results of local testing indicate that SiCuti has the potential to increase efficiency in administrative leave processes that were previously carried out manually, making them faster, more transparent, and more structured. The interactive dashboard design also facilitates monitoring from both employees and administrators. With the implementation of SiCuti, it is expected that the leave management process can reduce the risk of human error, ensure data accuracy, and support transparency and accountability in human resource management once the system is fully deployed within the institution.

Goals – Goals from studies This is For explore approach strategic in development System Information Management (SIM) as integral part in support digital transformation of modern organizations. Study This emphasize importance integration technology information , effective data management as well as improvement digital competence resources Power man in operation system. Design/ methodology / approach – Conceptual article This use method review library with analyze various work relevant academic and technical manuals , in particular related implementation of SIM in the sector public and private . Study This referring to the works Jatnika et al. (2022–2024), including utilization Microsoft Office applications as skills supporting basis​ organizational digital literacy . Findings – Findings studies This show that SIM development is not just effort technical , but rather need strategic in support digital transformation . Key strategies covers design modular systems , data mining integration , training programs based users , and evaluation system in a way periodic . Components This allows organization build responsive and adaptive SIM ecosystem . Implications practical – Organizations that want to do digital transformation is necessary invest in development digital capabilities of sources Power the human as well as ensure effectiveness use developed SIM system in a way strategic can become driving force main in increase efficiency , accuracy , and capability taking decision across work units . Originality / value – Study This offers a conceptual model structured about development of SIM in context digital transformation , based on literature applications and needs organizations in the real world . This article give outlook practical for taker policy , IT managers , and HR developers .  

The development of information technology has had a significant effect on the management of accounting information systems (AIS) within organizations, including Savings and Loan Cooperatives (KSP). This study aims to obtain empirical evidence regarding the effect of information technology sophistication, top management support, and personal capability on the performance of accounting information systems (AIS) in Savings and Loan Cooperatives (KSP) in Badung Regency. The implementation of an effective AIS is essential to enhance efficiency, accuracy, and the relevance of financial information to support managerial decision-making in the digitalization era. This study employs a quantitative approach with an associative design. The research population includes all registered and active KSP employees who have used information systems in Badung Regency, with a sample of 90 respondents determined through the purposive sampling method. Primary data were obtained through questionnaires and analyzed using multiple linear regression. The results indicate that information technology sophistication has a positive and significant effect on AIS performance, top management support has a positive and significant effect on AIS performance, and personal capability has a positive and significant effect on AIS performance.