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Big data platforms face significant challenges related to cybersecurity and privacy due to the vast volume, variety, and velocity of data they manage. Traditional static security measures often fail to address the dynamic and complex nature of big data environments. This research proposes an adaptive cybersecurity framework that integrates dynamic access control and differential privacy mechanisms to enhance both the security and privacy of big data platforms. The dynamic access control mechanism continuously adjusts access permissions in real-time based on changing risk and trust levels, ensuring that sensitive data remains secure even as user roles and data flows evolve. The differential privacy mechanism adds noise to data, preserving individual privacy while allowing for meaningful data analysis. Through simulations and case studies, the framework was evaluated in various real-world environments, including healthcare, IoT, and finance, where it demonstrated scalability, efficiency, and robust security performance. The results showed that the proposed framework significantly reduced unauthorized access attempts and maintained data privacy, while still enabling effective data analysis. Although there were some challenges regarding performance overhead, particularly in resource-constrained environments, the framework remained effective in large-scale systems. The findings highlight the importance of adaptive security practices in big data environments and suggest that future research should focus on refining dynamic security mechanisms and applying differential privacy in diverse real-world scenarios. These advancements are essential for ensuring that big data platforms can handle evolving cyber threats without compromising data utility or privacy.

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.

The increasing adoption of cloud native microservices has brought about significant improvements in scalability, flexibility, and resilience. However, these advancements also introduce substantial security challenges, particularly in distributed environments where traditional perimeter-based security models prove inadequate. This paper proposes a secure architecture for cloud native microservices that integrates Zero trust Network Access (ZTNA) and multi layered encryption techniques to address these security concerns. The architecture operates on the principle of "never trust, always verify," ensuring that access to resources is strictly controlled and continuously monitored. By incorporating multi layered encryption methods such as RSA and AES, the architecture ensures data protection both in transit and at rest, significantly reducing the risk of data breaches and unauthorized access. Through experimental evaluations, the proposed architecture demonstrated its effectiveness in preventing lateral movement, mitigating data leakage, and resisting common attack vectors such as man-in-the-middle (MITM) attacks and privilege escalation. Additionally, the performance of the system remained optimal, with minimal overhead despite the additional security layers. The architecture's scalability and robust security mechanisms make it a viable solution for real-world microservices environments, where both security and performance are crucial. This paper discusses the potential impact of this secure architecture on the broader field of distributed system security and offers recommendations for future work, including the integration of advanced machine learning techniques for real-time threat detection and automated responses, as well as the adaptation of the architecture for emerging technologies like edge computing and 6G networks.

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 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.

Mr. Ujang Cracker Factory, located in Pakiskembar Village, Pakis District, Malang Regency, is one of the UMKM that produces crackers. Most of the machines used in cracker processing at Mr. Ujang Cracker Factory still use a simple mechanical system. One of these machines is a cracker molding machine, where the speed is still adjusted manually by replacing the pulley. This study aims to recondition the cracker molding machine by adding a control panel in the form of a VSD inverter with the aim of facilitating the speed control process in operating the cracker molding machine. This study was conducted by analyzing the consistency of the influence of frequency and pulley diameter variations on the speed of the electric motor and mechanical movements in the cracker molding machine. The results of the study show that the frequency of the VSD inverter and the pulley diameter have a significant effect on the entire mechanism of the cracker printing machine. Based on the standard deviation value, the consistency of the pressing movement speed was obtained at a frequency of 40 Hz with a pulley diameter of 2 inches. From this study, it can be concluded that the overall frequency of the VSD inverter is the main parameter in determining the speed and stability of the cracker printing machine. Meanwhile, the variation in pulley diameter only serves as an additional mechanical adjustment to increase or decrease the output speed from the electric motor to the mechanical movement of the cracker printing machine.

Mr. Ujang Cracker Factory, located in Pakiskembar Village, Pakis District, Malang Regency, is one of the UMKM that produces crackers. Most of the machines used in cracker processing at Mr. Ujang Cracker Factory still use a simple mechanical system. One of these machines is a cracker molding machine, where the speed is still adjusted manually by replacing the pulley. This study aims to recondition the cracker molding machine by adding a control panel in the form of a VSD inverter with the aim of facilitating the speed control process in operating the cracker molding machine. This study was conducted by analyzing the consistency of the influence of frequency and pulley diameter variations on the speed of the electric motor and mechanical movements in the cracker molding machine. The results of the study show that the frequency of the VSD inverter and the pulley diameter have a significant effect on the entire mechanism of the cracker printing machine. Based on the standard deviation value, the consistency of the pressing movement speed was obtained at a frequency of 40 Hz with a pulley diameter of 2 inches. From this study, it can be concluded that the overall frequency of the VSD inverter is the main parameter in determining the speed and stability of the cracker printing machine. Meanwhile, the variation in pulley diameter only serves as an additional mechanical adjustment to increase or decrease the output speed from the electric motor to the mechanical movement of the cracker printing machine.

Corporate crime in the natural resources sector is a legal phenomenon that has a broad impact on state finances and public interests. This article analyzes the legal case of tin trade corruption involving PT Timah Tbk, a state-owned enterprise managing a strategic commodity. This study aims to examine the construction of corporate crime and the legal implications of state financial losses arising from deviant trade practices. The research method used is normative legal research with a juridical-analytical approach through a review of laws and regulations, legal doctrine, and relevant legal facts. The results of the study indicate that tin trade corruption is a systemic corporate crime integrated into the company's policies and business mechanisms, so that criminal liability cannot be limited to individuals alone. The resulting state losses are multidimensional, including fiscal losses, loss of potential revenue, and violations of the principle of state control over natural resources. This study emphasizes the importance of strengthening corporate criminal law enforcement to maintain the integrity of state-owned enterprises and protect state interests.

The increasing integration of Cyber physical Systems (CPS) into industrial environments has highlighted the need for secure, scalable, and efficient cryptographic key management systems. Traditional centralized key management protocols are often limited by vulnerabilities such as single points of failure, scalability issues, and significant overhead. Blockchain technology presents a promising solution to these challenges by leveraging decentralization, immutability, and transparency to enhance security and efficiency in CPS. This study investigates the use of blockchain based cryptographic key management systems, focusing on smart contracts for automated key distribution and rotation. Experimental results demonstrate that blockchain based systems significantly improve system integrity, auditability, and resilience, offering enhanced protection against cyber-attacks and reducing the risks associated with centralized systems. Blockchain’s decentralized architecture eliminates the need for a central authority, making it more resistant to tampering and operational failures. Additionally, smart contracts automate the key management process, improving efficiency while maintaining a high level of security. The study also evaluates the impact of blockchain on communication performance, finding that it reduces latency and overhead by automating processes and eliminating the need for centralized control. Despite these advantages, challenges such as scalability, latency, and integration with legacy systems remain. The study concludes by suggesting future research directions, including the development of lightweight blockchain protocols tailored for industrial applications and the integration of blockchain with emerging technologies like Artificial Intelligence (AI) to further enhance key management in CPS. Blockchain based solutions have the potential to transform the security landscape of industrial environments, offering greater robustness, reliability, and trust.

The selection of this research topic is based on the important role of packing machines in the noodle production process. As consumer demand continues to increase and industrial competition becomes more intense, optimizing production efficiency is a critical requirement for manufacturing companies. This study focuses on the Tokiwa W500 Packing Machine used at PT. Indofood CBP Sukses Makmur, Noodle Division, Semarang. The research method involves a comprehensive review of the machine control system to evaluate its operational performance. Data collection was conducted through direct observation, structured interviews with machine operators, and relevant literature review. The review emphasizes system performance, operational efficiency, and the level of automation, while identifying potential areas for improvement. The results indicate that the Tokiwa W500 Packing Machine operates in a stable and consistent manner during the noodle packaging process. However, opportunities were identified to enhance the automation system in order to improve production efficiency and reduce the risk of human error. This study is expected to contribute to the development of more effective and optimized control systems for industrial packing machines.

This study aims to analyze the implementation of affective learning strategies in Akidah Akhlak subjects to enhance students' self-control at MTs Muhammadiyah 02 Purbalingga. Affective learning strategies focus on character development through the inculcation of religious values such as patience, honesty, and discipline, aimed at helping students manage their emotions, thoughts, and behavior in daily life. The research employed a qualitative method with a descriptive approach. Data were obtained through in-depth interviews with Akidah Akhlak teachers, the principal, and students, as well as classroom observation. Data analysis was conducted using thematic coding to identify patterns in the implementation of affective learning strategies and their impact on students' self-control. The findings indicate that the implementation of affective learning strategies is carried out through five main stages: receiving, responding, valuing, organization, and characterization. Each stage involves structured approaches, such as using inspirational stories from the Qur'an and Hadith, group discussions, value reflections, and case study simulations. These strategies successfully enhanced students' self-control, particularly in emotional regulation, wise decision-making, and consistent behavior aligned with Islamic values. This study concludes that affective learning strategies play a vital role in improving students' self-control. Systematic and collaborative implementation can assist madrasahs in producing a generation that is faithful, knowledgeable, and morally upright, in line with the vision of Islam.

Postoperative pain is a common physiological response following surgical procedures, and its suboptimal management can have physiological and psychological effects, including sleep disturbances, decreased functional capacity, increased anxiety, and deterioration in quality of life. This scoping review aims to describe the empirical evidence regarding the effectiveness of music therapy in reducing the intensity of postoperative pain in surgical patients. A systematic search was conducted through four major databases (ScienceDirect, PubMed, Neliti, and Google Scholar) using Boolean operators and keywords such as ‘postoperative pain,’ ‘music therapy,’ and ‘pain scale.’ Inclusion criteria included articles published in the last decade, in English or Indonesian, and available in full text format. In accordance with PRISMA-ScR guidelines, this review analysed 10 articles. The synthesis of results showed that music therapy consistently reduced pain intensity, anxiety, and analgesic requirements through mechanisms such as increased endorphin secretion, decreased stress hormone levels, and activation of the gate control theory. Typically administered for 15–30 minutes, music therapy is a safe, cost-effective, and patient-acceptable non-pharmacological modality. This intervention is recommended as an adjunct component in perioperative pain management in nursing practice, although further standardised research is needed to improve consistency.

The City of Singkawang faces significant challenges in drinking water management, characterized by limited production capacity, high non-revenue water (NRW), and the absence of digital infrastructure such as AMR, LoRaWAN, and DMA, necessitating a structured development framework to support the transition toward a smart water system. This study formulates an IoT-based smart water roadmap aligned with the regional development plan (RPJMD) and the operational capacity of the local water utility through a performance gap analysis with benchmark cities (Surabaya and Balikpapan), capacity assessment using six objective parameters, and the use of secondary data from official reports and technical documents. The resulting roadmap comprises three sequential phases covering basic infrastructure reinforcement, network digitalization through IoT sensors and telemetry, and the implementation of DMA and SCADA to enable real-time monitoring and control. This approach provides a realistic and adaptive implementation framework for medium-sized cities with limited resources, strengthening NRW reduction efforts, improving service reliability, and supporting the integration of digital technologies in sustainable water utility management.

The management of material and labor costs at Gregors Barbershop is still manual and not formally structured, resulting in wastage of consumable materials, suboptimal labor utilization, and difficulties in determining service prices that align with the expected profit margins. Material costs, such as hair gel, tissues, disposable razors, and alcohol/disinfectants, are not recorded systematically, leading to frequent mismatches between stock and actual needs, while labor costs are calculated improvisationally without considering productivity and service targets. This activity aims to improve the ability of owners and employees to plan, control, and evaluate operational costs systematically, ensuring efficiency, resource optimization, and business profitability. The method uses an applied, hands-on approach, including the identification of partner needs, preparation of relevant training modules, direct operational mentoring, and evaluation with follow-up. The object of the activity is Gregors Barbershop in Batu Aji District, Batam City, which offers services such as modern men’s haircuts, classic shaves, shaving, hair treatments, and the sale of grooming products like pomade and hair oil. The results show increased efficiency in the use of consumable materials, more productive labor management, more systematic cost planning, and the ability to set service prices in line with costs and profit margins. It is recommended to implement a digital recording system and productivity-based incentives to ensure more accurate cost control, more efficient operations, and sustainable business profitability.

This study aims to develop a student learning progress monitoring system designed to assist teachers and parents in tracking students’ academic performance at SMP Negeri 2 Loura. The main issue identified in the school is that academic information is still distributed using manual procedures, which results in delays and limited transparency regarding students’ learning progress. To address this problem, the system was developed using the Model View Controller (MVC) architecture and the Waterfall approach to system development, which consists of several sequential phases such as analyzing requirements, designing the system, implementing the solution, conducting tests, and performing ongoing maintenance. The findings of this research show that the system that has been created is capable of presenting academic information in a complete and structured manner, including assignment scores, daily tests, and semester examinations. The system provides faster and easier access for teachers to input grades and for parents to monitor their children’s academic development in real time. Functional testing shows that all features operate correctly according to user needs, with no errors found during system operation.

Steam turbines remain a core technology in thermal power generation and continue to evolve through advances in aerothermal design, materials, control strategies, and digital maintenance. This paper presents a systematic literature review (SLR) of recent international studies published between 2020 and 2025 to synthesize current developments in steam turbine performance and thermal efficiency improvement. Article identification was conducted through SCOPUS using keywords related to turbine efficiency, blade/nozzle optimization, failure analysis, and material enhancement. The selected studies were analyzed thematically across four domains: (1) design and optimization using CFD/FEA, (2) material and structural resilience, (3) operational performance under variable/part-load conditions, and (4) integration with hybrid renewable systems and predictive maintenance. The reviewed evidence indicates that CFD-based nozzle/blade optimization and advanced control approaches can yield measurable efficiency improvements (approximately 2–7.3%), while material innovations and enhanced cooling strategies improve durability by mitigating thermal stress and fatigue risks. In parallel, digitalization through IoT-based predictive maintenance and additive manufacturing is increasingly reported as a pathway to reduce downtime and accelerate component production. However, recurring gaps include limited real-world validation, insufficient studies in humid/tropical environments, and a lack of long-term economic/lifecycle assessments. Future work should prioritize experimental or field verification, region-specific performance studies, and integrated techno-economic evaluation to support broader deployment of high-efficiency steam turbine systems.

This research aims to develop an E-Catalog Information System for the Library of SMPK St. Yohanes Wewewa Barat as a digital platform that provides students and teachers with fast, accurate, and efficient access to book collection information. The system is designed to replace the previous manual book search process, which often caused delays and reduced the effectiveness of library services. The development of this system applies The Model-View-Controller (MVC) method structures the system by dividing it into three distinct parts: the model, the view, and the controller, each with its own specific function resulting in a structured architecture that is easier to manage, maintain, and improve. This method was chosen because it supports modular development and provides flexibility for future system enhancements. The results of this study show that the developed e-catalog system functions properly and performs well according to the intended design. All main features, including book searching, book detail display, and book data management, operate optimally without significant issues. Moreover, the system helps improve the efficiency of library services and enhances the user experience in accessing digital book information.

Domestic violence (DV) is a hidden crime phenomenon with complex criminology, deeply rooted in the interaction between economic pressures and unequal social norms. Financial instability, such as unemployment and poverty, creates profound psychological stress on individuals, especially for perpetrators who fail to fulfill their breadwinner role, which is then expressed through aggressive behavior. Economic crises even causally increase stress, leading to physical or psychological violence. The dominant profile of perpetrators is men with low emotional control who are financially stressed and adhere to patriarchal ideology, while the majority of victims are women (housewives) who are vulnerable due to economic dependence and lack of access to resources, reinforcing the dynamics of economic violence as a systematic means of control. Optimizing response requires an integrated approach: strengthening law enforcement through sensitivity to non-physical violence and guaranteeing the protection of victims' assets, empowering victims economically through training and access to capital to foster independence, and transforming social norms through gender equality campaigns and deconstructing patriarchal culture that considers domestic violence a private matter.

This research examines law enforcement against immigration violations and the factors influencing the effectiveness of border crossing inspection at the Immigration Checkpoint (TPI) of Tanjung Perak, Surabaya. Immigration inspection plays a vital role in safeguarding national sovereignty and monitoring cross-border human movement. Using a normative juridical approach with statutory and conceptual approaches, the findings demonstrate that enforcement procedures include document verification, identification of violations, administrative actions, and deportation in accordance with Law Number 6 of 2011 concerning Immigration. Common violations found include misuse of stay permits, travel document forgery, unauthorized border crossers, and illegal activities by foreign nationals beyond visa provisions. However, implementation still faces challenges such as limited human resources, inadequate infrastructure, and weak inter-agency coordination. Several factors affect the effectiveness of inspections, including personnel quality, technological support, legal frameworks, infrastructure capacity, traveler volume, inter-agency cooperation, political and international relations factors, socio-cultural dynamics, financial and logistical support, as well as internal supervision and accountability systems. The research concludes that institutional capacity building, policy integration, regulatory harmonization, and strengthened internal supervision are essential to ensure optimal immigration control at TPI Tanjung Perak in facing global challenges.

Human trafficking constitutes a transnational crime that inflicts physical, psychological, and economic suffering upon its victims. This research aims to analyze the fulfillment of restitution rights for victims of human trafficking and examine preventive efforts from the immigration perspective. According to Law Number 21 of 2007 concerning the Eradication of Human Trafficking, every victim has the right to restitution as compensation for losses suffered. However, implementation in practice still encounters numerous obstacles, including weak law enforcement, limited understanding among law enforcement officers, and insufficient technical regulations. This normative legal research employs statutory and conceptual approaches to examine primary legal materials, including Law Number 21 of 2007, Law Number 6 of 2011 on Immigration, and various implementing regulations. The findings indicate that legal protection for victims of human trafficking has not been optimal, with challenges including difficulties in proving immaterial losses, dual procedural systems between the Human Trafficking Law and Criminal Procedure Code, and weak coordination among law enforcement agencies. The Witness and Victim Protection Agency (LPSK) often cannot guarantee restitution payments as determined by judges. From the immigration perspective, the Directorate General of Immigration plays a strategic role in preventing human trafficking through travel document control, implementation of the Integrated Border Control Management (IBCM) system, education for prospective migrant workers, and cross-sectoral collaboration. However, challenges persist, including complex and evolving modus operandi, limited resources in remote border areas, and inter-agency coordination obstacles. The study concludes that synergy between institutions and improvements in education and regulation are required to ensure victims' restitution rights are fulfilled effectively.