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This study examines the impact of Dutch Military Aggression I (1947) and Dutch Military Aggression II (1948–1949) on the political development of Indonesia during the early years of independence. Employing the historical method (heuristics, source criticism, interpretation, and historiography) and a qualitative diachronic-synchronic approach, the research analyses primary and secondary sources concerning internal political dynamics and the Republic of Indonesia’s international relations in the period 1947–1949. The findings reveal that both Dutch military aggressions paradoxically served as crucial catalysts for the acceleration of national political consolidation and maturation in Indonesia. The First Aggression triggered international condemnation, transformed the Republic’s status from “rebels” to a sovereign state defending its independence, strengthened national solidarity, and gave birth to the integration of armed struggle and diplomacy—the precursor to the Total People’s Defense doctrine. Meanwhile, the Second Aggression, marked by the occupation of Yogyakarta and the arrest of republican leaders, led to the establishment of the Emergency Government of the Republic of Indonesia (PDRI), closer civil-military coordination, unification of political parties and societal organizations, and heightened global pressure that ultimately resulted in the recognition of sovereignty in 1949. Overall, Dutch military pressure expedited the transformation of political structures, bolstered the legitimacy of the Republican government, and secured both de facto and de jure recognition of Indonesian independence.

Oral literature is a form of storytelling from one individual to another in a concise manner as a representation of a society's culture. One type that is interesting to study in this field is legends. This study examines the Keong Mas legend using Burhan Nurgiyantoro's structuralism approach theory, which focuses on analyzing the relationship between intrinsic and extrinsic elements in literary works. This study uses a qualitative descriptive method that aims to reveal the narrative structure and social and cultural meanings contained in the legend as a reflection of the moral values and local wisdom of the people of East Java. The information collection method used observation and note-taking. The results of the analysis show that the Keong Mas legend has a cohesive story structure, including theme, characters, plot, setting, and point of view, which simultaneously reflect the values of loyalty, justice, and family conflict in a socio-cultural context. These findings confirm the relevance of oral literature as a medium for the inheritance of living and evolving cultural values, and contribute to the understanding of cultural identity and literary aesthetics in Indonesia, especially in the East Java region.

Production planning and inventory control are critical aspects of operations management, as they directly influence cost efficiency, resource utilization, and the continuity of the production process. Ineffective planning and inventory decisions may lead to excessive costs, production delays, or imbalances between supply and demand. The complexity of these problems, which often involve multi-period horizons and multi-stage decision-making processes, has encouraged the application of quantitative optimization methods, one of which is dynamic programming. This study aims to analyze and synthesize the application of dynamic programming in production planning and inventory control through a Systematic Literature Review (SLR) approach. The SLR process was conducted by systematically identifying, selecting, and analyzing 15 relevant national journal articles published between 2015 and 2024 and obtained from various recognized scientific databases. The reviewed literature indicates that dynamic programming is effective in supporting optimal decision-making by determining appropriate production quantities and inventory levels, minimizing total production and holding costs, and managing fluctuating demand conditions. In addition, this method helps reduce the risks associated with overstock and stockouts by considering sequential decision structures. However, the findings also reveal several limitations of dynamic programming, including high computational complexity, strong dependence on deterministic data assumptions, and limited flexibility in handling high levels of uncertainty. These constraints suggest the need for further methodological development or integration with other approaches to enhance practical applicability.

Pricing is a critical factor determining the success of small and medium-sized enterprises (SMEs) in the market. This study investigates the pricing strategy implemented by Kebab Ajo Lubeg, a culinary SME located near Universitas Putra Indonesia YPTK Padang. The research aims to analyze how pricing methods are applied, the factors considered in price determination, and their influence on consumer purchasing decisions and business strategy. A qualitative descriptive approach was employed, with data collected through semi-structured interviews with the owner and employees, direct observation, and documentation of product offerings and pricing. Findings indicate that Kebab Ajo applies a combination of cost-based pricing, competition-based pricing, and product-based price variation to balance production costs, consumer purchasing power, and market competition. The pricing strategy significantly affects consumer satisfaction, repeat purchases, perceived value, brand image, and business competitiveness. This study provides practical insights for other SMEs in setting appropriate prices while maintaining customer loyalty and profitability, and it contributes to the academic discourse on marketing management and pricing strategies in the culinary sector.

This study aims to analyze the effect of workload on employee loyalty at the Class I TPI Immigration Office in Jambi, with performance allowance policies acting as a mediating variable. The research employed a quantitative approach involving 88 respondents selected from the total employee population. Data were collected through structured questionnaires and analyzed using statistical methods to examine both direct and indirect relationships among variables. The results indicate that employees generally perceive their workload as being at a moderate level; however, workload has a significant negative effect on employee loyalty. In contrast, performance allowance policies demonstrate a significant positive influence on loyalty. Furthermore, the findings reveal that performance allowance policies partially mediate the relationship between workload and employee loyalty, indicating their role in mitigating the negative impact of workload. These results suggest that effective performance allowance policies can enhance employee loyalty despite increasing workload demands. Therefore, organizations should balance workload management with fair and performance-based compensation policies to maintain employee loyalty.

The rapid development of globalization and the acceleration of digital transformation have encouraged organizations to adopt more adaptive and collaborative work practices. In this context, collaborative culture has become a strategic element that plays a crucial role in enhancing organizational effectiveness and competitiveness. This study aims to comprehensively examine the concept, characteristics, forming factors, and theoretical foundations of collaborative culture in modern organizations. The research employs a qualitative approach through a literature review, analyzing reputable national and international journal articles, textbooks, and relevant institutional reports. Data analysis is conducted using a descriptive-analytical technique by synthesizing findings from previous studies. The results indicate that collaborative culture significantly contributes to improved communication quality, work coordination, adaptability, and both individual and organizational performance. Collaborative culture is shaped through the integration of shared vision, open communication, trust, willingness to share resources, collaborative leadership, flexible organizational structures, and the support of collaborative technologies. This study also highlights that the success of digital transformation largely depends on the strength of an effectively internalized collaborative culture. The findings are expected to provide a theoretical reference for organizations and researchers in developing sustainable collaborative culture strategies.

This study aims to analyze the implementation of Good Corporate Governance (GCG) principles at PT Bank Mandiri (Persero) Tbk as one of the state-owned banks that plays a strategic role in the Indonesian banking system. The implementation of GCG is crucial in maintaining public trust, improving performance, and ensuring business sustainability in the banking sector. This research employs a qualitative method with a descriptive approach, focusing on secondary data analysis obtained from annual reports, corporate governance reports, sustainability reports, and official information published on the website of PT Bank Mandiri (Persero) Tbk. The results indicate that Bank Mandiri has consistently implemented the principles of transparency, accountability, responsibility, independency, and fairness in its corporate governance system. These principles are reflected in information disclosure practices, clear organizational structures, regulatory compliance, independent decision-making processes, and fair treatment of all stakeholders. Overall, the implementation of GCG at PT Bank Mandiri (Persero) Tbk contributes positively to strengthening internal control systems, enhancing public trust, and supporting the stability and sustainability of banking operations.

The Financial Services Authority (OJK) is responsible for overseeing Indonesia's capital market, and this paper outlines its functions and powers. In order to promote financial system stability, safeguard the public interest, and boost the financial services industry's competitiveness, the OJK was founded to develop an integrated regulatory and supervisory structure. The OJK's responsibilities encompass policy formulation, business license issuance, oversight, inspection, law enforcement, and administrative penalties for infractions. Even though Indonesia's capital market has grown quickly, it still faces substantial obstacles like illicit investment and large losses from scandals and market manipulation, which emphasize the need for robust and independent oversight.

The rapid growth of digital marketplaces has fundamentally transformed consumer decision-making processes by intensifying price transparency, product comparability, and information exposure. In highly competitive marketplace environments, consumers are frequently confronted with numerous product alternatives and dynamic pricing structures, which shape how they evaluate options and ultimately decide to purchase. This study examines the effects of product variety and price perception on consumers’ purchase decisions in the context of ROSCA tumbler products sold on the Shopee marketplace. Using a quantitative explanatory approach, this research employs a survey-based design to analyze the relationships among variables and to estimate their relative effects through multiple linear regression analysis. Data were collected from 100 respondents who had previously purchased ROSCA tumblers on Shopee, selected using purposive sampling based on predefined criteria. The research instrument consisted of 15 Likert-scale items measuring product variety, price perception, and purchase decision. Data analysis included descriptive statistics, instrument validity and reliability testing, regression assumption diagnostics, and hypothesis testing using both partial (t-test) and simultaneous (F-test) procedures. The findings reveal that product variety has a positive and significant effect on purchase decisions, indicating that consumers are more likely to finalize purchases when they perceive product options as sufficiently diverse, relevant, and comparable. Price perception also exerts a positive and significant influence and demonstrates a stronger relative effect compared to product variety. This result underscores the central role of perceived price fairness, competitiveness, and value-for-money in shaping purchase decisions within transparent and highly competitive marketplace settings. Simultaneously, product variety and price perception explain a substantial proportion of variance in purchase decisions, highlighting their combined importance as key marketing stimuli. These findings contribute to the literature on digital consumer behavior by providing empirical evidence from a specific marketplace–product context and offer practical implications for sellers and brand managers in optimizing assortment design and pricing strategies to enhance conversion rates in online marketplaces

In Indonesia, maritime safety remains a problem. Ship captains and ship owners often disregard maritime safety standards, particularly for fishing vessels. Provisions for criminal liability for domestic fishing vessels that fail to meet maritime safety standards are an important legal instrument for regulating and enforcing maritime safety regulations in the fisheries sector. Failure of vessels to comply with safety requirements, such as the completeness of safety equipment, engine condition, and vessel structure, can potentially lead to accidents that endanger the lives of crew members and negatively impact the marine environment. This study uses a normative research method with a legislative approach. This article focuses on examining aspects of criminal liability, including the subjects, objects, and legal sanctions imposed for violations of maritime safety standards. The results indicate that perpetrators of violations can be subject to criminal sanctions in the form of fines, detention, and even revocation of vessel operating permits, taking into account human rights and environmental protection. Effective and synergistic law enforcement between relevant authorities is essential to provide a deterrent effect, encourage compliance with safety standards, and improve the system for the sustainability of marine resources.

The use of Information Systems and Information Technology (IS/IT) is a crucial factor in improving the efficiency and accuracy of retail sector operations. PT XYZ, a retail-level staple goods provider, has implemented IS/IT to support sales recording, inventory management, security, and operational reporting. This study aims to assess the effectiveness, efficiency, security, and compliance of the information system used. The audit was conducted through observation, interviews, document review, and system testing, referring to the COBIT framework and the ISO/IEC 27001 standard. The audit results indicated that the system supported core operational functions, but weaknesses remained, including insufficient system documentation, limited access controls, and suboptimal data security and backup mechanisms. Furthermore, reliance on manual procedures has the potential to lead to errors and slow down service delivery. Therefore, system improvements, strengthening security controls, developing standard operating procedures, and enhancing the competency of human resources and IT infrastructure are needed. This audit is expected to support improved service quality and secure, effective, and sustainable IT governance at PT XYZ.

This study focuses on analyzing the application of cloud computing as a supporting infrastructure for digital transformation in the implementation of Smart City at the Communication and Information Agency (Diskominfo) of Muara Enim Regency. In the era of digital transformation and accelerated urbanization, the need for smart city management based on information technology has become increasingly urgent. Cloud computing plays a strategic role in providing integrated, scalable, and efficient data services to support the effectiveness of public services and data-driven decision-making. This study aims to analyze the extent to which cloud computing has been implemented in the Muara Enim Diskominfo environment, identify the supporting and inhibiting factors of its implementation, and evaluate its contribution to the achievement of Smart City objectives. This study uses a comparative approach with data collection techniques through interviews, observation, and documentation studies. The results of the study show that the implementation of cloud computing at the Muara Enim Communication and Information Agency is still in the development stage, with positive achievements in data management efficiency and inter-unit collaboration, but facing obstacles in terms of system integration and human resources. This research contributes to strengthening academic understanding of cloud computing implementation strategies in the context of local government, as well as providing practical recommendations for policy makers to improve digital infrastructure readiness towards a sustainable Smart City.

Smart cities are increasingly leveraging advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data Analytics to optimize urban management and improve the quality of life for citizens. However, managing vast and diverse datasets from numerous sources in real-time presents several challenges. This research proposes a modular framework that integrates distributed data processing engines with container-based workflow orchestration to address scalability, latency, adaptability, and fault tolerance in smart city data analytics. The framework utilizes cloud native technologies, including Apache Spark and Kubernetes, to efficiently manage resources and ensure high availability. The experimental setup tested the framework’s ability to handle dynamic data loads, demonstrating scalability through real-time resource allocation and low-latency processing. The adaptability of the framework was evident in its seamless integration with various data sources, such as environmental sensors and traffic management systems, which require different processing methods. Additionally, the framework’s modularity provided fault tolerance, enabling continued operation even if individual components failed, a crucial feature for mission-critical applications in smart cities. Compared to traditional monolithic systems, the proposed framework outperformed in flexibility, scalability, and performance, offering significant improvements in handling real-time data streams. Despite these advantages, challenges remain, particularly in integrating heterogeneous data formats and optimizing real-time processing for high-priority applications. The research highlights the importance of scalable data analytics and efficient workflow orchestration for the future of smart city platforms, offering a foundation for the development of more resilient, adaptable, and efficient cloud native infrastructures.

The increasing sophistication of cyber threats has rendered traditional cybersecurity models insufficient in safeguarding enterprise networks. This study introduces a risk aware cybersecurity governance model that integrates real time threat intelligence with predictive anomaly detection to proactively mitigate potential threats. By leveraging advanced machine learning and AI techniques, the model enhances the ability to identify and address cyber threats before they can escalate into significant incidents. The model’s ability to predict anomalies, analyze real time threat intelligence feeds, and provide early warnings allows for faster response times and reduced risk exposure compared to traditional reactive models. Through simulations and real-world use cases, the proposed model demonstrated a 30% reduction in response time and a 25% decrease in overall risk exposure, showing its potential to improve security decision-making and resilience in dynamic threat environments. Unlike traditional models that rely on static rules and periodic policies, the proposed model uses predictive analytics to stay ahead of evolving threats, ensuring continuous monitoring and rapid adaptation. This proactive approach enhances organizational resilience, particularly in handling sophisticated cyber threats such as ransomware, malware, and phishing attacks. Despite its effectiveness, challenges such as data overload, scalability, and the need for interpretability in AI models remain. Future research will focus on refining predictive models, improving scalability for larger networks, and enhancing the explainability of machine learning models to foster greater trust in automated cybersecurity systems. This study contributes to the ongoing evolution of cybersecurity governance by demonstrating the value of integrating predictive and real time monitoring technologies for enhanced threat detection and mitigation.

In high-performance computing (HPC) environments, the need to balance memory efficiency and query performance is crucial for ensuring optimal system performance. Traditional data structures, such as B-trees and hash tables, often prioritize either memory usage or query speed, leading to suboptimal performance in memory-constrained systems. This paper proposes a hybrid data structure that combines the strengths of multiple traditional data structures to optimize both memory usage and query processing speed. The proposed hybrid structure integrates cache-conscious algorithms, dynamic memory allocation, and compression techniques for intermediate query results. The approach is evaluated through extensive benchmarking tests comparing it to standard data structures like B-trees and hash tables under various workloads. Results show that the hybrid data structure reduces memory overhead by up to 30% while maintaining query processing speeds up to 1.5 times faster than conventional methods. Furthermore, the hybrid structure demonstrates robust performance across different types of queries, including both point and range queries, ensuring versatility and efficiency. The findings indicate that this hybrid approach provides a promising solution for HPC systems, where both memory efficiency and query speed are essential. Future research can explore extending the hybrid structure to distributed systems and emerging technologies, further improving its scalability and adaptability to new computational paradigms.

This study examines the impact of IT-driven innovation management on IT service effectiveness and competitive value creation within smart organizations. As digital transformation accelerates across industries, organizations are increasingly leveraging advanced IT solutions to enhance service delivery, responsiveness, and customer satisfaction. While traditional IT service management (ITSM) models focus on efficiency and structured processes, the integration of innovation management introduces new opportunities to improve service quality and operational agility. Through a quantitative research design, this study employs regression modeling to assess the relationship between IT-driven innovation management and two key outcomes: IT service effectiveness and competitive value creation. Data were collected from 100 technology-intensive organizations that actively integrate innovation into their IT service management processes. The results demonstrate that IT-driven innovation significantly enhances service quality, customer satisfaction, and organizational competitiveness. Furthermore, a curvilinear relationship was identified, indicating that while moderate innovation leads to improved outcomes, excessive innovation may have diminishing returns. These findings highlight the importance of balancing innovation efforts with business goals to achieve optimal performance. The study also compares innovation-driven IT service management with traditional models, illustrating how innovation fosters agility, responsiveness, and long-term value creation. The implications for smart organizations are clear: integrating innovation into IT service management is essential for maintaining a competitive edge in the rapidly evolving digital landscape. Future research should explore the long-term impact of innovation management on organizational sustainability and growth, considering external factors such as market volatility and technological disruptions.

This study investigates the role of Information Technology (IT) governance in enhancing risk management performance and ensuring regulatory compliance within multinational digital enterprises. As digital transformation continues to reshape the global business landscape, organizations face increasing challenges in managing technological risks and complying with complex regulatory requirements across various jurisdictions. The study adopts a quantitative approach, using a survey methodology to collect data from senior IT and compliance managers in multinational digital enterprises. The survey focuses on how IT governance frameworks, such as COBIT 2019 and ISO 27000, are utilized to align IT strategies with business objectives, mitigate risks, and maintain regulatory compliance. The findings indicate that organizations with well-established IT governance structures are better positioned to proactively identify and mitigate risks, ensuring greater consistency in meeting regulatory requirements. These organizations demonstrate improved risk management effectiveness, especially concerning cybersecurity, data privacy, and compliance with global regulations like GDPR. In contrast, organizations with ad hoc or decentralized governance structures struggle with fragmented risk management and compliance efforts. The study further highlights the importance of integrating IT governance frameworks with internal audit functions, specifically the Chief Audit Executive (CAE), to enhance cybersecurity resilience and ensure compliance with global standards. This research contributes to the literature by providing empirical evidence on the integration of IT governance, risk management, and regulatory compliance in multinational enterprises. It also highlights the need for a structured and systematic approach to IT governance to improve organizational performance in managing risks and ensuring consistent regulatory adherence. The study offers practical insights for organizations looking to optimize their IT governance structures in the face of rapid digital transformation.

The high unemployment rate in Indonesia highlights the importance of enhancing work readiness among young people from an early educational stage. Work readiness is influenced by several factors, including learning motivation, communication skills, and parental support. This study aims to examine the relationship between learning motivation, communication skills, and parental support with work readiness among twelfth-grade students at SMAK Kasih Anugrah. This research employed a quantitative approach with a cross-sectional design. The population consisted of all 30 twelfth-grade students, and a saturated sampling technique was applied. Data were collected using structured questionnaires and analyzed through univariate and bivariate analysis using the Chi-Square test. The results indicate a significant relationship between learning motivation and work readiness (p-value = 0.021), communication skills and work readiness (p-value = 0.014), and parental support and work readiness (p-value = 0.005). These findings suggest that learning motivation, communication skills, and parental support play a crucial role in improving students’ readiness to enter the workforce. The results of this study are expected to provide practical implications for schools and parents in strengthening students’ preparation for the world of work

The Community Service Program (PkM) focused on mentoring storytelling competitions was implemented as an effort to improve students' competence in the art of storytelling, while also supporting their preparation for the FLS3N event. The activity was designed through a series of training sessions that included understanding the concept of storytelling, examples of storytelling practices, hands-on practice, and periodic evaluations. During the mentoring process, students showed progress in terms of story mastery, intonation, expression, and confidence. The approach used encouraged active participation so that participants were able to improve their storytelling techniques based on the feedback provided. The results of this activity show that structured and continuous training can improve students' readiness to present stories in a more communicative and interesting manner in upcoming competitions.

Individuals with mental disabilities commonly experience difficulties in self-awareness and emotion regulation, which negatively affect social functioning and psychosocial well-being. These conditions were also observed among beneficiaries in the assisted community, who demonstrated limitations in recognizing emotions, expressing feelings, and engaging in social interactions. This community service program aimed to strengthen self-awareness and emotional regulation skills among individuals with mental disabilities through a psychosocial approach. The program employed activity-based psychoeducation using participatory and supportive methods, including emotional recognition training, self-reflection, positive emotional stimulation, and structured group support. The results indicated improvements in beneficiaries’ ability to identify and express basic emotions, increased self-confidence, enhanced emotional stability, and more active social participation. Qualitative observations revealed behavioral changes from passive tendencies to more responsive and cooperative involvement in group activities. These findings suggest that activity-based psychosocial interventions are effective in improving psychosocial well-being among individuals with mental disabilities.