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The UNAMA Library employs information systems to enhance its academic services. Nevertheless, its administrative framework continues to encounter obstacles, such as inadequate service system support for users, constrained resources allocated for the management and upkeep of the system, an absence of standardized protocols for addressing technical challenges, and insufficient assessment system efficacy. If these issues remain unaddressed, the operational effectiveness of the library information system will be compromised, thereby thwarting the objective of delivering dependable information services. This investigation seeks to illuminate the maturity level of information system governance as delineated by COBIT 2019 within the Decision Support Systems (DSS) domain, specifically focusing on the DSS01 (Manage Operations) and DSS02 (Manage Service Requests and Incidents) processes. The findings suggest that the degree of information system governance capability the UNAMA Library is situated at the Established Process level (level 3), signifying that the process has undergone implementation; however, it has yet to be comprehensively documented and consistently evaluated. Moreover, a disparity persists between the existing state and the anticipated capability level of the organization, particularly concerning IT operations management, the standardization incident handling, and the documentation of operational procedures. An elucidation of the expected level is articulated, especially in terms of operational standards, incident documentation, and IT infrastructure oversight. Recommendations encompass the formulation of standard operating procedures (SOPs), the enhancement of documentation practices, and periodic assessments grounded in COBIT 2019. These findings are anticipated to assist libraries in augmenting the efficacy of information systems governance and the quality of IT services.

Interoperability has become a critical enabler of integrated service delivery in contemporary digital government. However, despite significant technological investments, many governments continue to experience fragmented service systems and limited public value outcomes. This study examines how institutional design shapes interoperability capacity and how interoperability contributes to public value creation within digital government frameworks. Employing a qualitative explanatory case study approach, data were collected through semi-structured interviews, document analysis, and institutional observations. The findings reveal that interoperability is not solely a technical function but an institutional capability embedded in governance structures, regulatory frameworks, data standards, and coordination mechanisms. While technical data exchange mechanisms exist, institutional fragmentation, regulatory ambiguity, and limited cross-agency collaboration constrain seamless integration. The study demonstrates that institutional design mediates the relationship between interoperability and public value creation by influencing the effectiveness of integrated service delivery. Public value gains are evident in operational efficiency and accessibility; however, improvements in legitimacy, trust, and service coherence remain incremental where institutional alignment is weak. The research contributes to digital governance literature by conceptualizing interoperability as an institutional construct and highlighting the necessity of governance reform for sustainable public value generation. The findings suggest that governments must prioritize institutional coherence, standardized data governance, and collaborative coordination frameworks to fully realize the transformative potential of digital government.

This research investigates the execution of data-informed and inclusive regional development planning within the Regional Development Planning Agency (Bappeda) of Sidoarjo Regency, concentrating on four analytical aspects: data integration and management abilities, the efficiency of participatory processes, technical and institutional obstacles concerning interoperability, and capacity-building strategies for facilitators tasked with translating public aspirations into planning priorities. The study is positioned within the national framework to establish evidence-based and participatory planning in reaction to the growing complexity regional development. Despite Bappeda Sidoarjo implementing multiple data platforms and participatory channels such Musrenbang forums, online submission systems, and sector-specific information systems the results indicate that issues like data fragmentation, insufficient digital literacy, and ineffective follow-up mechanisms continue to impede planning effectiveness. Employing qualitative methodology that includes in-depth interviews, observation, and document review, the research reveals that data integration has not reached single source of truth because of the lack of a cohesive data architecture and compatible standards among government entities. Participatory methods have increased inclusivity, but the quality of proposals and verification processes is still variable, hindering the incorporation of grassroots feedback into planning priorities. Moreover, the ability of facilitators the subdistrict and village levels is crucial in determining the quality of the compiled proposals. The research ends by highlighting the importance of improved data governance, increased actor capability, revised participatory processes, and clear follow-up mechanisms. Suggestions encompass constructing a unified data framework, offering ongoing technical training, standardizing digital Musrenbang processes, and establishing publicly available proposal-tracking system integrated within the yearly planning cycle.

This study aims to examine the influence of product innovation, digital marketing, and business networking on the competitiveness of small and medium-sized enterprises (SMEs), with customer engagement positioned as a mediating variable. Employing a Systematic Literature Review (SLR) approach, thirty Scopus-indexed articles published between 2020 and 2025 were analysed to synthesise theoretical and empirical insights related to SME competitiveness in contemporary digital and urban business environments. The findings indicate that product innovation, digital marketing, and business networking each play a significant role in strengthening SME competitiveness, particularly within markets characterised by rapid technological change. Customer engagement emerges as a critical mediating mechanism that connects these strategic variables to sustainable competitive advantage. It enhances the impact of innovative and digital strategies by fostering stronger emotional, behavioural, and participative interactions between SMEs and their customers. The review also highlights that SMEs adopting integrated digital management practices, such as the utilisation of human-resource information systems (HRIS) and data-driven decision-making tend to demonstrate greater adaptability, market responsiveness, and long-term performance. The study contributes theoretically by integrating resource-based and dynamic capability perspectives, offering a holistic understanding of how digital and relational capabilities interact to elevate competitiveness. Practically, the findings provide strategic guidance for policymakers, SME managers, and practitioners in designing innovation-oriented and digitally enabled initiatives that support sustainable SME growth in the digital era.

The rapidly changing and increasingly uncertain business environment presents significant challenges for micro, small, and medium enterprises (MSMEs), requiring them to adapt quickly and strategically to survive and remain competitive. This conceptual article examines the role of business models as an effective adaptation strategy for MSMEs in responding to dynamic market conditions, technological change, and shifting consumer preferences. Through a comprehensive review of various business model frameworks and dynamic capability theories, this study emphasizes that business models play a crucial role in shaping organizational flexibility and strategic responsiveness. The findings highlight that adaptable value propositions enable MSMEs to continuously align their offerings with evolving customer needs, while agile resource management allows firms to efficiently reconfigure internal and external resources. Furthermore, continuous business model innovation and renewal are identified as essential mechanisms for sustaining long-term resilience and competitiveness. The article argues that a business model should not be viewed merely as an operational or administrative tool, but rather as a core strategic mechanism that integrates strategic vision, organizational capabilities, and market orientation. By actively leveraging flexible and innovative business models, MSMEs can enhance their adaptive capacity, mitigate environmental uncertainty, and achieve sustainable competitive advantage in rapidly changing business environments.

The increasing volume of online hotel reviews provides valuable insights into customer perceptions but poses challenges for manual analysis due to its unstructured nature. This study aims to compare the performance of Recurrent Neural Network (RNN) and Bidirectional Encoder Representations from Transformers (BERT) in hotel review sentiment analysis. A total of 20,491 TripAdvisor hotel reviews were classified into three sentiment categories: negative, neutral, and positive. The research methodology includes text preprocessing, stratified data splitting, class imbalance handling using Random Over-Sampling, tokenization, and supervised model training. Model performance was evaluated using a confusion matrix and classification metrics. The results indicate that BERT outperforms RNN, achieving an accuracy of 80.54%, while RNN reached 62.21%. BERT demonstrated superior capability in capturing contextual and semantic information in hotel reviews. These findings suggest that transformer-based models are more effective for sentiment analysis of complex textual data in the hospitality domain and can support data-driven service improvement strategies.    

SMP Negeri 5 Merlung is a public junior high school in Merlung Subdistrict that has utilized the DAPODIK system for online data processing management, enabling efficient sending and receiving of information to the government. This research analyzes IT governance on the DAPODIK system using the COBIT 5 framework, specifically the MEA01 domain (Monitor, Evaluate and Assess Performance and Conformance), which focuses on monitoring and evaluating performance and conformance. The research background is based on the need to maximize the utilization of the system at the school level. The main objectives are to determine the current and expected capability levels, as well as to provide improvement recommendations to achieve higher process maturity. The research method applies Assessment Process Activities, covering observation, interviews, identification of findings, gap analysis, and recommendations. The results show that the current capability level is at level 3 (established process), while the expected capability level is directed toward level 4 (predictable process). The implications of these findings provide practical recommendations such as routine monitoring enhancements, staff training, and integration of automation tools to bridge the capability gap, thereby improving the effectiveness of IT governance at SMP Negeri 5 Merlung sustainably.

Information technology (IT) governance plays a strategic role in supporting the achievement of organizational goals, especially in higher education institutions. Adiwangsa University Jambi, as a private university, is required to manage IT effectively, efficiently, and in line with the institution's vision. This study aims to analyze the level of IT governance capabilities at Adiwangsa Jambi University using the COBIT 2019 framework with a focus on the EDM (Evaluate, Direct, Monitor) domain. The research method used is a descriptive quantitative method through data collection using questionnaires, interviews, and documentation studies. The results show that the level of IT governance capability in the EDM domain is at level 2 (Managed Process), indicating that the IT governance process is running but still needs improvement in several aspects, especially in monitoring and controlling IT performance. This study is expected to provide recommendations for Adiwangsa University Jambi in improving IT governance in a sustainable manner.

This study analyzes creditworthiness assessment and predicts non-performing loan (NPL) risk using the Naïve Bayes algorithm at BPR Ukabima Lestari, Jambi Branch. A quantitative data mining approach with probabilistic classification is applied. The dataset includes borrower attributes such as age, occupation, income, loan amount, tenor, collateral, and repayment history. Research stages comprise data preprocessing, model development, and performance evaluation using accuracy, precision, recall, and F1-score implemented in RapidMiner. The results indicate that the Naïve Bayes model achieves 99.58% accuracy, demonstrating strong capability to predict potential problem loans accurately and efficiently, supporting data-driven credit decisions and strengthening credit risk management in microbanking institutions.

The purpose of this study is to investigate the connection between the probability of financial statement fraud and the components of the Fraud Hexagon: pressure, opportunity, rationalization, capability, arrogance, and collusion. Additionally, we examine how Environmental, Social, and Governance (ESG) Disclosure functions as a moderator. Banks listed on the Indonesia Stock Exchange (IDX) between 2021 and 2024 are the subject of this study. We make use of secondary data gathered from business sustainability and annual reports. Purposive sampling was used to choose the bank sample depending on the completeness of the data. We use the Partial Least Squares (PLS) method of Structural Equation Modeling (SEM), which works well for evaluating models with complex variables, for the analysis. The results of this study are expected to provide insights into how each element of the Fraud Hexagon contributes to financial statement fraud and how ESG Disclosure can mitigate these risks.

The rapid development of technology in today's era requires every profession to align with existing developments. The teaching profession is no exception. Teachers must be able to utilize technology in the learning process to create an engaging learning environment for students. To support this capability, training is essential. This community service activity aims to provide training to teachers at Bancong  Elementary School in Wonoasri District, Madiun Regency, to familiarize themselves with and be able to use the GeoGebra application. This training also aims to improve teachers' competency in utilizing digital technology as a learning medium. The GeoGebra application is an effective application for solving mathematics problems in elementary schools, particularly in geometry, particularly plane figures. The implementation method for this activity includes preparation, training, and mentoring. The training was provided in the form of workshops and hands-on practice using GeoGebra-based mathematics learning media. The activity proceeded orderly and smoothly, and the training participants understood the material well, both theoretically and in practice.

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is accelerating and reshaping how organizations attract, develop, manage, and retain talent. Despite abundant case examples and growing practitioner interest, academic findings remain fragmented regarding the antecedents (drivers), impediments (barriers), and organizational effects (outcomes) of AI-based HR transformation. This paper presents a PRISMA-guided systematic literature review of 112 peer-reviewed articles (2015–2025) to synthesize empirical and conceptual evidence on AI in HRM. Results identify three primary drivers: technological capability, strategic alignment, and a data-driven culture; three critical barriers: ethical concerns (bias, privacy, and transparency), skill and capability gaps, and resistance to change; and three outcome clusters: operational efficiency, enhanced employee experience, and elevated strategic HR contribution. We propose a socio-technical conceptual framework that models drivers moderated by barriers to outcomes, and we advance a research agenda focused on ethical governance, human–AI collaboration, capability measurement, and longitudinal evaluation. The review contributes to theory by integrating socio-technical and dynamic capability  perspectives and provides actionable guidance for HR leaders on responsible AI adoption.

The intersection between digital transformation and the halal economy has created new pathways for sustainable global development. This study explores how the Halal Digital Ecosystem (HDE)—an integrated network of producers, certifiers, regulators, and consumers—contributes to sustainable growth by aligning digital innovation with Islamic ethical principles. Employing a mixed-method explanatory sequential design, the research combines quantitative analysis using Structural Equation Modeling–Partial Least Squares (SEM–PLS) with qualitative interviews involving policymakers, halal entrepreneurs, and certification authorities from Indonesia, Malaysia, and GCC countries. The findings reveal that digital infrastructure readiness and certification transparency significantly influence sustainable growth, while innovation capability acts as a mediating factor that strengthens the relationship between digitalization and sustainability outcomes. Qualitative insights highlight persistent challenges, including fragmented cross-border governance, limited digital literacy among halal SMEs, and the absence of harmonized certification standards. These barriers indicate that achieving sustainability requires not only technological advancement but also ethical and institutional alignment based on maqāṣid al-sharī‘ah. The study introduces the Halal Digital Ecosystem–Sustainability (HDE–S) Framework, providing both theoretical and practical contributions to the literature on sustainable digital economies. Policy implications emphasize the need for integrated halal digital governance, capacity building, and regional collaboration to enhance competitiveness, inclusivity, and ethical compliance in the global halal market.

This study aims to analyze the quality control of white crystal sugar production at ABC Sugar Factory using the Statistical Quality Control (SQC) method. The research employed a descriptive quantitative approach with a case study design. The primary data consisted of production volume and defective product data during the 2024 production period, while supporting data were obtained through observation and interviews with the Quality Control department. The analytical tools applied included check sheets, histograms, Pareto diagrams, p control charts, and fishbone diagrams. The results show that from a total production of 190,745.89 tons, defective products amounted to 66.70 tons, representing 0.33 percent of total output. The identified defects consisted of wet sugar at 45 percent, brownish sugar color at 30 percent, and oversized sugar crystals at 25 percent. Defective products occurred only during the first to third production periods, while no defects were observed from the fourth to seventh periods. The p chart analysis indicates that the production process was statistically out of control in the early periods but became stable and controlled in the subsequent periods. From a managerial perspective, these findings provide practical guidance for improving manufacturing quality through enhanced process control, equipment maintenance, and workforce capability development.

This research is a Systematic Literature Review (SLR) that aims to identify, analyze, and synthesize scientific literature related to effective facilitation strategies in the context of organizational capability development and employee learning improvement. The main focus of this research is to map various forms of facilitation interventions, assess their impact on organizational capabilities such as innovation, adaptability, and efficiency, and explore the role of facilitation in strengthening organizational and individual learning mechanisms. By using an SLR approach that follows the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), this study ensures transparency and replication of the study process. The results of the synthesis show that facilitation strategies contribute significantly to improving organizational capabilities through the creation of a collaborative learning environment, strengthening communication, and improving employees' adaptive skills. In addition, facilitation has been proven to support the integration of new knowledge into organizational practices, thereby strengthening competitiveness and sustainability. These findings are expected to provide evidence-based guidance for practitioners in designing effective facilitation interventions, as well as a theoretical basis for future researchers to develop studies on the relationship between facilitation, learning, and organizational capabilities.

The purpose of this research is to determine the influence of knowledge sharing and innovative work behavior on organizational innovation capability. This research design uses a quantitative approach with a survey method. This approach is used to measure the influence of knowledge sharing variables and innovative work behavior on innovation capability. This research was conducted at the PDAM Kolaka Regency office, Southeast Sulawesi Province. The population of this study was 30 employees of PDAM Kolaka Regency, Southeast Sulawesi Province. In this research, primary data sources are used in the form of survey results by distributing questionnaires to obtain information and responses related to knowledge variables, innovative work behavior and employee innovation capabilities. To test the hypothesis, this research uses PLS-SEM with the help of the Smart-PLS version 3.0 application.  The research results show that there is no influence between knowledge sharing and innovative work behavior on organizational innovation capability .  

Digital transformation has become a major driver in enhancing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in the era of global competition. However, scientific evidence regarding the pathway of digital transformation and its impact on market performance remains separately distributed and has not been systematically synthesized. This study conducts a Systematic Literature Review (SLR) based on PRISMA 2020 on international publications within the 2013–2024 range. The results of the analysis indicate that the digital transformation pathway encompasses digital capability, digital orientation, digital integration, digital strategy alignment, and the utilization of operational technology. Each pathway contributes differently to market outcomes such as sales growth, customer retention, market expansion, and competitive advantage. The study also found the presence of moderating and mediating roles through innovation capability, dynamic capability, organizational culture, and competition intensity. This research produces an integrated conceptual model and recommendations for a further research agenda to deepen strategic management theory in the context of MSMEs.

This study employs the Systematic Literature Review (SLR) method following the PRISMA 2020 Statement guidelines to identify the main models and indicators used in measuring the performance of Micro, Small, and Medium Enterprises (MSMEs). The literature selection process includes the stages of identification, screening, eligibility assessment, and inclusion, resulting in ten articles from reputable Q1 international journals. The analysis reveals that the most frequently used performance measurement models are integrated performance models such as the Balanced Scorecard, Performance Prism, and models based on resource capability, customer, internal process, and financial perspectives. Commonly used indicators include sales growth, profitability, market share, customer satisfaction, process flexibility, technology adoption, and business sustainability. The study concludes that although financial measures remain dominant, non-financial dimensions—such as digital capability, stakeholder engagement, and internal process effectiveness—are increasingly important for MSMEs operating in the context of global market dynamics and digital transformation. The implications of this study provide theoretical contributions to the development of MSME performance measurement frameworks and offer practical guidance for MSME managers in selecting indicators that align with the characteristics of small and medium-sized enterprises.

Information system security faces serious challenges due to increasingly complex cyber attacks. Intrusion Detection Systems (IDS) require efficient approaches to handle high-dimensional data such as the NSL-KDD dataset with 41 features. This study aims to implement the Genetic Algorithm (GA) for feature selection on the NSL-KDD dataset to improve the efficiency and accuracy of network attack detection. The method used is computational experimental research, involving data preprocessing, GA implementation for feature selection, building a classification model using Random Forest, and performance evaluation based on accuracy, precision, recall, F1-score, and computation time. The results show that GA successfully reduced features from 41 to 12 features (70.7% reduction), significantly improving computational efficiency. However, model accuracy slightly decreased from 0.4973 to 0.4951, indicating that while GA is effective for feature selection, the elimination of certain features may reduce classification capability. The implication of this study is that GA can be used as a tool to simplify intrusion detection models, but it should be combined with parameter optimization and data imbalance handling to achieve more optimal performance.  

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 .