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The threat of Distributed Denial of Service (DDoS) is increasing develop along with increasing use of the Internet of Things (IoT) and Software-Defined Networking (SDN) architecture . Although SDN provides convenience in management network , properties its centralized control make it prone to to flooding attacks that can paralyze controller performance . Detection method conventional , such as approach statistics and machine learning, still own limitations in matter accuracy , high false positive rate , and dependence on extracted features manually . To overcome problem said , research This propose a hybrid deep learning based DDoS detection and mitigation model that combines Convolutional Neural Network (CNN) to extraction feature spatial from RGB and Gated Recurrent Unit (GRU) images for understand temporal correlation between traffic data network . System tested through network test-bed Mininet based with Ryu/Floodlight controller, using simulation DDoS attacks (Hping3, LOIC) and normal traffic (video streaming, HTTP server). Traffic data cross recorded in PCAP format, processed become RGB image measuring 200×200 pixels, and labeled based on type traffic . Evaluation results with metric accuracy , precision, recall, F1-score, and MCC show that the CNN–GRU model has performance more superior compared to baseline approaches such as CNN-only, GRU-only, as well as classical ML methods such as SVM and Random Forest. In addition , the system capable apply mitigation adaptive through automatic flow rule creation on edge switches. Findings This confirm that effective deep learning- based spatial -temporal hybrid approach in increase detection early and response DDoS attacks on SDN networks adaptive and real-time.  

Hazard Analysis and Critical Control Points (HACCP) is a food safety management system designed to identify, analyze, and control physical, chemical, and biological hazards throughout the food production process. In the context of Small, and Medium Enterprises (SMEs) in Indonesia, HACCP implementation is essential to ensure food safety, improve product quality, and enhance access to modern and export markets. This study is a literature review that analyzes 14 scientific articles published between 2000 and 2025, sourced from Scholar and Sinta databases. The analysis focused on abstract keywords to identify key concepts, findings, and research gaps regarding HACCP implementation in SMEs food businesses. The review findings indicate that HACCP offers positive impacts such as improved production efficiency, extended shelf life, and reduced contamination risks. The establishment of Critical Control Points (CCPs) in stages like grinding, packaging, and storage has proven effective in preventing potential hazards. However, several challenges hinder effective implementation, particularly in SMEs. Common obstacles include limited human resources, lack of technical knowledge, inadequate basic sanitation infrastructure, and weak documentation and monitoring systems. Several studies also emphasize that successful HACCP implementation relies heavily on intensive mentoring and strong support from government bodies, academia, and business partners. Therefore, a collaborative and strategic approach is essential to optimize HACCP implementation within the SMEs sector, contributing to an inclusive, adaptive, and sustainable national food safety system.

The advancement of information technology has driven companies to adopt technology-based systems to enhance operational efficiency while also increasing the complexity of information security risks. This study aims to analyse risk factors associated with information security assets, identify potential threats, assess risks, and provide mitigation recommendations. The OCTAVE method was applied to identify threats, vulnerabilities, and critical information technology assets, while FMEA was used to determine risk mitigation priorities based on the Risk Priority Number (RPN). The mitigation recommendations were developed in accordance with ISO 27001:2022 standards. Data collection was conducted through interviews with XYZ company representatives, identifying 34 information security asset risks, including 6 hardware failure potentials, 6 software failure potentials, 14 data failure potentials, 4 human resource failure potentials, and 4 network failure potentials. The risk categorisation results revealed 5 high-level risks, 6 moderate-level risks, 20 low-level risks, and 3 very low-level risks. The mitigation recommendations include three ISO/IEC 27001:2022 clauses: Human Resource Controls, Physical Controls, and Information Technology Controls.

Background: Polycystic ovary syndrome (PCOS) is a complex endocrine-metabolic disorder common in women of reproductive age, characterized by insulin resistance (IR), anovulation, and hyperandrogenism, often leading to infertility. Metformin is the first-line therapy used. However, inositol, especially myo-inositol (MI) and D-chiro-inositol (DCI), have shown promising therapeutic potential. Direct comparison and optimal efficacy of both still require a comprehensive review. Objective: This systematic review aims to evaluate the efficacy of inositol (as monotherapy or in combination) compared with metformin, placebo, or no intervention, in improving reproductive, hormonal, and metabolic outcomes in women with PCOS. Methods: Conducted according to PRISMA guidelines, a systematic literature search was conducted in Pubmed and Ebsco databases for randomized controlled trials (RCTs) published in the last 10 years. Studies evaluating inositol and/or metformin in women with PCOS and reporting reproductive, hormonal, or metabolic outcomes were included. Study selection and data extraction were performed independently by five reviewers. Results: Six randomized controlled trials (RCTs) were included in this review. Metformin consistently showed improvements in insulin resistance and androgen levels. Myo-inositol also demonstrated efficacy in improving metabolic and hormonal parameters, as well as reproductive outcomes, often with a better tolerability profile, especially as monotherapy. The combination of metformin and myo-inositol has shown potential improvements in some reproductive functions (such as live birth rate) compared to metformin alone in some studies. However, other studies have shown comparable or superior efficacy of myo-inositol monotherapy with fewer side effects. Adjuvant therapies such as dexamethasone or calcium/vitamin D have shown benefits in certain subpopulations. Conclusions: Both inositol (especially myo-inositol) and metformin have significant therapeutic roles in the management of PCOS. Metformin remains an important intervention for metabolic dysregulation and hyperandrogenism. Inositol appears to be an effective and often better tolerated alternative, with significant reproductive benefits. The choice of therapy should be individualized based on patient phenotype and treatment goals.    

This study aims to explore the role and impact of the development of digital payment systems, particularly the Quick Response Code Indonesian Standard (QRIS), on the financial management practices of out-of-town students in the 2024 cohort. Using a descriptive qualitative approach and data collected through open-ended questionnaires distributed to 50 students of the Accounting Study Program at UPI, the research examines sources and management of monthly funds, the influence of QRIS on consumptive behavior, the role of QRIS in daily transactions, the handling of unexpected expenses, and students' financial awareness. The results indicate that QRIS is widely used for daily spending transactions, especially for purchasing food and beverages, due to its practicality and convenience. However, the findings also suggest a tendency for increased consumptive behavior among students who use QRIS. Nonetheless, a small portion of students reported that QRIS facilitates easier control over spending through visibility of balances and transaction histories. This study highlights the importance of financial literacy alongside the adoption of digital payment technologies to optimize students' financial management.

This study aims to describe the dynamics of school leadership at a primary school affected by limited leadership experience and health-related constraints. Using a descriptive qualitative approach and in-depth interviews with several teachers, the findings reveal that the principal adopts a situational leadership style characterized by flexible and delegative practices. The principal places significant trust in senior teachers to carry out daily operational functions and decision-making processes. While this strategy fosters teacher autonomy and ensures the continuity of school activities, it also reveals weaknesses in supervision, quality control, and the symbolic presence of leadership. The lack of direct supervision results in unclear performance evaluations and weak program coordination. The study concludes that the effectiveness of situational leadership relies heavily on the strength of interpersonal relationships among staff and the existence of supportive internal systems. It is recommended that the principal strengthen the management team and establish a more structured communication system to sustain leadership quality and educational standards.

This study aims to design a smart home system leveraging the Internet of Things (IoT) concept by utilizing the Wemos D1 microcontroller combined with fuzzy logic to improve home energy management and safety. The hardware development process involves integrating a PIR sensor for motion detection, a DHT11 sensor for measuring temperature and humidity, and actuators including relays for lighting and a solenoid lock for doors. The system is operated remotely using the Blynk platform and supports notification alerts through Telegram. Testing results confirm that the prototype is capable of controlling devices, tracking environmental data in real time, and effectively sending alerts when movement is detected. Overall, the system presents a practical, responsive, and user-friendly smart home solution that enhances user convenience and household security.

Digital transformation in Information Technology (IT) governance has become a crucial aspect in improving the efficiency of public services, particularly within the Department of Community and Village Empowerment, Population, and Civil Registration of North Sumatra Province. This study aims to analyze the implementation of digital transformation in IT governance using the COBIT 2019 framework. The research method includes the analysis of regulations, the role of IT, procurement models, implementation methods, and technology adoption strategies applied by the department. The findings show that IT implementation is predominantly strategic in nature, supporting the digitization of population services and enhancing data transparency. The IT procurement model comprises a combination of outsourcing (30%), cloud computing (30%), and insourcing (40%) to balance efficiency and system control. Agile methodology is the most dominant implementation method (50%), followed by DevOps (35%) for maintenance and traditional approaches (15%) for more structured projects. The department primarily adopts a "follower" technology adoption strategy (75%), reflecting a selective approach to digital innovation. Based on COBIT 2019 evaluation, the BAI (Build, Acquire, and Implement) domain is the main focus, with high scores in solution identification and improvement management (90) and change management (100), indicating the department’s readiness to adopt digital systems. However, challenges remain in information security, inter-agency data integration, and human resource readiness. The digital transformation of IT governance at the department has been systematically implemented, supporting the improvement of population service efficiency. Enhancements in security, infrastructure, and the strengthening of IT governance policies are necessary to optimize and sustain digital transformation implementation.

The problem of this research is how the implementation of the management control system in TOSERBA MMTC and what strategies are carried out to improve competitiveness in TOSERBA MMTC. The purpose of this study is to determine how the implementation of the management control system in TOSERBA MMTC and to determine what strategies are carried out to improve competitiveness in TOSERBA MMTC. This research method uses a qualitative approach. The data analysis techniques used are data reduction, data presentation and drawing conclusions. The results of the study TOSERBA MMTC has implemented a structured management control system at three levels: strategic, operational, and financial. Strategic involves quarterly planning based on historical data; operational combines computerized information systems and a collaborative work culture; while finance applies tiered authorization and bottom-up budgeting, which has successfully reduced budget deviations by 22%. To improve competitiveness, MMTC carries a hyperlocal strategy by selling 45% local products, digital transformation such as WhatsApp Business and dynamic discount systems, and marketing through local social media and digital loyalty programs, which have proven effective in increasing sales and customer retention.

Information system security is a crucial aspect in maintaining the confidentiality and integrity of user data. The IITC Intermedia website of Amikom Purwokerto University serves as an information system for national events and stores participants' personal data, necessitating a security evaluation. This study aims to analyze vulnerabilities on the website using the Vulnerability Assessment method with the OWASP ZAP tool. The research process involves data collection, vulnerability scanning, result analysis based on the OWASP Top 10 2021 categories, and providing technical recommendations. The scan results revealed 23 vulnerabilities, consisting of 1 high-risk, 4 medium-risk, 9 low-risk, and 9 informational findings. Among these, 15 vulnerabilities fall under the OWASP Top 10 classification. Key vulnerabilities identified include the use of outdated JavaScript libraries, security header misconfigurations, and weaknesses in session management and access control. Based on these findings, several mitigation measures are recommended to strengthen system security. This study emphasizes the importance of implementing OWASP standards in the development and management of web-based information systems.

The contemporary landscape of data management, marked by an unprecedented scale and velocity of data, has spurred the widespread adoption of NoSQL databases, prioritizing scalability and performance over traditional relational constraints. While offering significant flexibility, this paradigm shift introduces complex cybersecurity challenges, notably query injection vulnerabilities, which are consistently ranked among the top web application security risks. Redis, a leading in-memory key-value store powering critical infrastructure globally, presents a unique security profile due to its architectural design and features like Lua scripting. Despite its prevalence, a comprehensive academic evaluation of Redis injection attack vectors remains understudied. This study addresses this gap by systematically evaluating command and Lua script injection vulnerabilities in Redis version 7.4.1 across controlled configurations: default, password-protected, and ACL-secured environments. We quantify vulnerability risk and empirically validate mitigation strategies by employing a Dockerized testing framework, Python-driven exploit simulations, and CVSS v3.1 scoring. Our findings reveal critical weaknesses in default and permissively configured environments and demonstrate that restrictive Access Control Lists (ACLs), adhering to the principle of least privilege, provide complete mitigation against the specific injection vectors evaluated in our controlled experimental setup. We propose a Redis-specific threat taxonomy and provide empirically validated recommendations for securing Redis deployments, emphasizing layered security controls and proper ACL implementation. This research contributes the first systematic evaluation of modern Redis injection vulnerabilities and highlights the critical importance of security-conscious configurations to protect vital data infrastructure.

This study aims to analyze violations of accounting professional ethics at PT Indofarma Tbk, a state-owned pharmaceutical company in Indonesia. The case gained public attention following an investigative audit report by the Audit Board of the Republic of Indonesia (BPK), which revealed financial statement manipulation causing state losses amounting to IDR 371.83 billion. This research employs a qualitative approach using a case study method. Data were obtained through the analysis of financial statements, BPK audit findings, as well as relevant literature and publications. The findings indicate violations of several fundamental ethical principles, including integrity, objectivity, professional competence, confidentiality, and professional behavior. The main contributing factors, based on the fraud triangle theory, are financial pressure, opportunity arising from weak internal controls, and rationalization by management. This case emphasizes the importance of implementing professional accounting ethics and strong oversight in the preparation of financial statements to maintain public trust and corporate integrity. The study implies the urgent need to strengthen internal control systems and enforce ethical standards as preventive measures against fraud.

Rapid development and population growth in urban areas have caused various problems, one of which is the decreasing availability of clean water. This has an impact on the agricultural and fisheries sectors which are highly dependent on good water quality. As an alternative to overcome this problem, the aquaponic system offers a solution by combining fish and plant cultivation in one efficient water recirculation system. However, the quality and productivity of the aquaponic system are highly dependent on good management, which requires proper monitoring and control of environmental conditions such as temperature, pH, humidity, and water quality. This study aims to design and build a Node-RED-based aquaponic monitoring and control system. This system uses various sensors to monitor environmental conditions and provide automatic control of parameters that affect plant and fish growth. By using Node-RED as a platform for sensor and control integration, this system is expected to provide an efficient and affordable solution to increase the productivity of the aquaponic system. The results of the study show that the designed tool can carry out effective monitoring and control of parameters that affect the aquaponic system, and can be accessed in real-time to facilitate system management and supervision.

The National Health Insurance (JKN) program, administered by BPJS Kesehatan, has significantly expanded public access to healthcare services, particularly inpatient care. This study aims to analyze inpatient JKN reimbursement patterns at Surakarta General Government Hospital during the period of 2020 to 2024. The analysis focuses on five main variables: INA-CBGs grouping codes, class of care, severity level, INA-CBGs tariff, and actual hospital costs. A descriptive-analytic method with a quantitative approach was employed, utilizing secondary data extracted from the INA-CBGs system. The results indicate that inpatient reimbursements were predominantly concentrated in Class 3 services (64%–70%) and severity level 1 (45%–59%). From 2020 to 2022, respiratory-related cases dominated, likely due to the COVID-19 pandemic, while in 2023–2024 a shift occurred toward non-communicable diseases such as cardiovascular and metabolic conditions. A consistent negative tariff gap was identified, particularly in Class 3 and severity level 1, where INA-CBGs reimbursements were insufficient to cover actual service costs. These findings underscore the importance of periodic review of INA-CBGs tariff structures, reinforcement of Quality and Cost Control (KMKB), and optimization of reimbursement management information systems to enhance service efficiency and ensure the financial sustainability of JKN, especially in Type C hospitals that serve as the primary level of healthcare delivery.

This study aims to analyze the implementation of management control systems in improving company performance at PT. Melu Bangun Wiweka (MBW), a private construction company facing tight competition in the construction services industry. The study uses a qualitative approach with a descriptive method, where data is obtained through interviews with the company. The results of the study indicate that PT. MBW has implemented a fairly good management control system through the stages of strategic planning, budgeting, activity implementation, and performance evaluation. This system has been proven to play an important role in directing organizational activities and improving employee performance through the provision of rewards and sanctions based on standard operating procedures. This study concludes that a structured and communicative management control system can improve the effectiveness and efficiency of the company in achieving its goals. It is recommended that the company continue to improve employee understanding of the company's vision and strengthen the evaluation system to face competitive challenges in the future

The port industry plays an important role in Indonesia's economic growth, but its operational activities pose a major risk to occupational safety and health (OHS). The aim is to analyze the management of occupational accident risk hazards at Tanjung Perak Port. And identify potential hazards in loading and unloading activities, use of heavy equipment, and worker safety. This study was conducted qualitatively, which showed that several risks were in the low category with 2 risks, medium with 25 risks, and high with 12 risks, so that these results require immediate control measures. The application of OHS management through the HIRARC method helps to systematically identify, assess, and control hazards. This study suggests increasing compliance with the use of personal protective equipment (PPE), optimizing work procedures, and regular safety training to significantly reduce occupational accidents.

Research aims to design and develop a boiler system for heating Marine Fuel Oil (MFO) 180 CST by integrating Internet of Things (IoT) technology to enhance efficiency and operational monitoring. The methods used include boiler system design, selection of types and materials according to international standards, and the implementation of an optimal combustion system. IoT sensors are strategically placed to monitor key parameters such as temperature, pressure, and fluid flow in real-time. The collected data is transmitted to a cloud platform, enabling remote monitoring and automated performance analysis through a web or mobile-based application.. The research results indicate that IoT integration in the boiler system improves fuel heating efficiency, optimizes energy consumption, and facilitates easier monitoring and process control. Testing includes pressure tests, combustion efficiency, steam capacity, and material durability, with real-time monitoring to support performance analysis and early problem detection. Operational data evaluation allows for design adjustments or system settings to further enhance energy efficiency. With this innovation, the boiler system can operate more optimally, support energy efficiency, and facilitate predictive maintenance for sustainable industrial operations. The implementation of IoT in this system is expected to improve safety, effectiveness, and automation in boiler management, making it a more reliable and modern solution.

The development of information technology has had a major impact on the personal data management system. In Indonesia, the enactment of Law Number 27 of 2022 concerning Personal Data Protection is a crucial step in guaranteeing individual privacy rights as part of human rights. This study aims to examine the form of legal accountability for personal data violations based on the provisions of the Law Number 27 of 2022. The method used is normative juridical with a statutory regulatory approach. The results of the study show that violations of personal data can be subject to sanctions in two forms, namely administrative and criminal. These sanctions are given to data controllers and parties proven to have violated the provisions, either due to negligence or deliberate actions. Although it has been regulated normatively, implementation in the field still faces a number of challenges, such as weak supervision, lack of legal literacy in the community, and unpreparedness of digital infrastructure. Thus, it is necessary to strengthen supervisory institutions, ongoing public education, and more responsive law enforcement mechanisms. This research is expected to contribute to the development of regulations and practices for personal data protection in Indonesia.

Background: The implementation of Electronic Medical Records (RME) in healthcare facilities still faces a high failure rate, with more than 50% of RME systems not being used optimally. Sawah Besar Hospital, which began implementing RME in August 2023, recorded 1,500 cases of errors in a year, with 60% of system errors and 30% of user errors. This study aims to analyze the factors that affect the intention of using RME by nurses by integrating the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). This quantitative research uses a census method by involving 70 nurses as respondents. Data were collected through questionnaires and analyzed using path analysis. The results showed that perceived ease of use, perceived usefulness, subjective norm, perceived behavioral control, and attitude toward use simultaneously affected the intention to use RME (F=77.917, p<0.05). Attitude toward use acts as a mediator in the relationship between perceived ease of use and perceived usefulness to the intention to use RME. These findings have important implications for hospital management in optimizing the implementation of RME through improving technical aspects and forming positive user attitudes.

Introduction: The integration of Digital Twin (DT) technology and the Internet of Things (IoT) into Building Energy Management Systems (BEMS) offers a transformative approach to optimizing energy consumption in buildings. This study explores the development of a Digital Twin based BEMS prototype, which leverages real time data collection, predictive analytics, and machine learning to enhance energy efficiency, reduce costs, and support sustainability goals in modern buildings. The research also addresses key gaps in current energy management systems, including real time adaptive control and integration with smart grid platforms. Literature Review: Previous research highlights the limitations of traditional BEMS, which often rely on static control strategies and lack real time adaptability. Recent advancements, including predictive maintenance and machine learning integration, have improved energy optimization. However, challenges such as data interoperability, scalability, and cybersecurity remain. This review consolidates current approaches and identifies opportunities for enhancing BEMS through the integration of DT technology, IoT, and machine learning. Materials and Method: The methodology employed involves the design of a Digital Twin based BEMS prototype, incorporating IoT sensors for real time data collection on variables such as HVAC load, occupancy, and environmental factors. The system uses time series forecasting and adaptive control strategies to optimize energy consumption. A case study building is used for validation, with performance metrics such as energy savings, CO₂ footprint reduction, and peak load reduction assessed to evaluate the system's effectiveness. Results and Discussion: The results demonstrate a significant reduction in energy consumption (up to 50%) compared to traditional BEMS, along with improved forecasting accuracy and sustainability performance. The prototype achieved a high R² score in predicting energy usage, validated through real world application in the case study building. The economic feasibility analysis showed substantial cost savings and a strong return on investment, making the system a financially viable solution for energy efficient building management.