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This study looks at how the government isn't doing enough to watch over logging in Sumatra and how that leads to a higher chance of flooding, using the ideas from Administrative Law. Ineffective supervision, both during the licensing process and afterwards, significantly contributes to the decline of the forest's ecological functions, resulting in hydrological disasters. The study uses normative law and follows a literature review method. The data used consists of secondary data, including primary legal materials such as legislation, as well as secondary materials like textbooks, academic journals, and digital sources. Data was gathered by looking at documents and then looked at using a descriptive-qualitative approach. The research shows that the government's failure to properly carry out its responsibilities in forestry management can be considered an illegal government action, known as an 'onrechtmatige overheidsdaad'. This action goes against the General Principles of Good Governance (AUPB), especially the principles of being careful with public money, being responsible, and ensuring that laws are clear and followable. This situation leads to the government being responsible, which means they must take steps to fix the environment and offer help to the communities that were affected. This study suggests strengthening the forestry oversight system by implementing regulatory improvements, improving the capacity of officials, utilizing technology, and involving the community actively to ensure transparent, accountable, and sustainable environmental management.

Contemporary Islamic education faces a crisis of value transformation, where cognitive literacy achievements do not correspond proportionally to the quality of moral conduct (adab) and spiritual internalization. This study aims to examine this failure through a critical review of Prophetic Hadith on the phenomenon of literacy without faith. Employing a qualitative descriptive method based on library research, it analyzes relevant Hadith literature, books, and journals. The findings reveal that modern educational practices tend to reverse the learning sequence by prioritizing textual mastery before instilling the foundations of faith. This indicates that curricular formalism may impede the inner transformation of learners. The novelty of this research lies in its methodological critique of educational orientations that place text above faith. The study concludes that restoring the Prophetic method, guided by the principle of "learning faith before the Qur'an," is essential so that faith serves as the existential foundation for building robust, civilized, and functional religious character in real-life contexts.

Malpractice in dental health services has become a complex legal issue as public awareness of service quality and patient rights continues to increase. The enactment of Law Number 17 of 2023 on Health introduces important changes in regulating the legal accountability of medical personnel, including dentists, particularly in relation to criminal liability for malpractice. This study analyzes the forms of dental malpractice and the criminal responsibility of dentists under the new Health Law. The research uses an empirical legal method with sociological and statutory approaches. Data were obtained through interviews and a review of relevant legislation, legal doctrines, and court decisions. The results show that dental malpractice can arise from negligence, failure to comply with professional standards, violations of standard operating procedures, and the absence or disregard of informed consent. Law Number 17 of 2023 stipulates that criminal liability for dentists can only be applied after a recommendation from the Professional Discipline Board, ensuring a clear distinction between inherent medical risks and professional misconduct. This framework is designed to provide balanced legal protection for both patients and dentists while strengthening legal certainty in malpractice case resolution. Consequently, dentists must understand professional standards and criminal liability mechanisms to practice responsibly and professionally.

The brake system on a vehicle is an important component for driving safety, brake malfunction can cause danger and driving safety is disturbed to the point of failure which can cause serious accidents. The object of the study was chosen original brake discs and variation discs used for Yamaha Matic Mio motorbikes. in the general public it is better known as brake discs, Hardness testing was carried out using the Rockwell method with 10 pressure points on the braking friction area with an average value of the original disc with a value of 57 HRC, and the value of the variation disc with a value of 53 HRC with a slight difference of 4 HRC, Brinell hardness value and the original disc tensile test averaged 586 HBS and the average variation disc value was 501 HBS. while the conversion tensile test value from the Rockwell hardness test value on the original disc was 1645 N / mm² and the variation disc brake was 1597.2 N / mm² thus the Rockwell test value, Brinell conversion and the original disc tensile test were still greater than the variation disc tensile test value.

Forgiveness can be described as a response given by someone who has experienced hurt in order to avoid revenge and expressions of anger towards the perpetrator, while choosing to show compassion, affection, love, and positive behavior. One of the factors that influence forgiveness is emotional intelligence, which includes an individual's ability to motivate themselves, show resilience to failure, control emotions, maintain satisfaction, and regulate psychological conditions. The purpose of this study was to determine whether there is a relationship between emotional intelligence and the level of forgiveness among high school students in Montong District. This research is non experimental with a correlational analytical design using a cross sectional approach. The research population included 592 high school students in Montong District. The sampling technique applied was probability sampling with cluster random sampling, resulting in a sample of 239 students. Data collection was conducted using questionnaires that measured emotional intelligence and forgiveness. The results of the analysis using the Spearman test at α = 0.05 showed p = 0.000 < 0.05 with a correlation coefficient of r = 0.389, indicating a low relationship between the two variables, thus accepting the hypothesis. Based on this description, it can be concluded that there is a relationship between emotional intelligence and the level of forgiveness among high school students in Montong District.

Digital transformation has become imperative for organizations worldwide, yet the failure rate of these initiatives remains significantly high. This article aims to analyze the strategic role of Change Management in bridging the gap between technology adoption and human resource readiness. Using a descriptive qualitative method and recent literature review (2019-2023), this study finds that the main challenge in the digital era lies not in technological complexity, but in cultural resistance and employee mental unpreparedness. The results indicate that change management approaches focused on human-centric design, transparent communication, and digital upskilling are key to turning digital disruption into sustainable competitive opportunities. Effective digital transformation requires a deep understanding of organizational dynamics and employee attitudes toward change. Proper application of change management principles can reduce resistance, enhance collaboration, and ensure smoother technology adoption. Therefore, it's crucial for companies to integrate ongoing training and support into every stage of the digital transition to maximize its potential.

PLN (Persero) is the state-owned company responsible for supplying electrical energy in Indonesia and plays a crucial role in ensuring the reliability and continuity of power distribution. Therefore, all electrical equipment, particularly power transformers, must be maintained in safe and reliable operating conditions. Transformers function to change voltage levels from high to low or vice versa and are essential components in the electric power distribution system. One important transformer component that requires periodic maintenance is the On Load Tap Changer (OLTC). To maintain transformer performance and extend its service life, routine maintenance activities such as OLTC oil replacement are necessary. PT. PLN (Persero) ULTG Rangkasbitung conducts regular OLTC oil replacement twice a year as part of its preventive maintenance program. Transformer oil serves as both an insulating medium and a cooling agent; therefore, its condition greatly affects transformer reliability and operational safety. Degraded oil quality can cause insulation failure and reduce transformer efficiency. This study aims to describe the procedure and implementation of On Load Tap Changer oil replacement at the transformer substation of PT. PLN (Persero) ULTG Rangkasbitung. The research method used is field research, carried out through direct observation and interviews with maintenance personnel. The results of this study are expected to provide a clear understanding of the OLTC oil replacement process, support proper maintenance practices, and emphasize the importance of transformer maintenance in ensuring the reliability and sustainability of the electric power system.

This study aims to analyze the factors causing the differences in legal treatment and their implications on the principles of equality before the law, legal certainty, and the principle of legality. The method used is empirical legal research with a juridical-sociological approach. This study involves case studies, interviews with law enforcement officers and victim advocates, as well as an analysis of regulations and court decisions. The results indicate that the differences in legal treatment are caused by the application of subjective detention requirements in the Criminal Procedure Code (KUHAP), law enforcement discretion, differing legal interpretations between prosecutors and judges, the quality of legal assistance for defendants, and social pressures and societal dynamics. The impact of these differences is the failure to achieve substantive justice, weakening legal certainty, and declining public trust in the criminal justice system. This research has significant academic urgency as it contributes to the development of the enforcement of laws regarding Human Trafficking (TPPO), emphasizing the need for consistency, transparency, and the protection of victims' rights in the application of criminal law.

Hypertension and diabetes mellitus are two highly prevalent non-communicable diseases that often coexist as comorbidities, significantly increasing the risk of cardiovascular complications. The coexistence of these conditions accelerates the onset of atherosclerosis, diabetic nephropathy, and kidney failure, thereby requiring more comprehensive clinical management. One of the key parameters in diabetes management is fasting blood glucose (FBG), which reflects the balance of glucose metabolism after a fasting period. Chronic hyperglycemia is known to contribute to endothelial dysfunction, increased peripheral vascular resistance, and activation of the sympathetic nervous system and renin-angiotensin-aldosterone system, ultimately leading to elevated blood pressure. This study employed a systematic literature review approach, analyzing articles published between 2021 and 2025. Narrative synthesis was conducted across various study designs, including cross-sectional, cohort, and meta-analysis studies. The findings indicate that most studies support a significant association between FBG levels and blood pressure, although some reported varying results. Cohort studies provide stronger evidence that elevated FBG increases the risk of new-onset hypertension. Age, treatment adherence, and lifestyle factors were also identified as confounding variables influencing outcomes. Overall, the evidence highlights that glycemic control through FBG monitoring is essential in managing hypertension among diabetic patients. Multidisciplinary strategies, patient education, and strengthening of primary healthcare services are required to reduce cardiovascular risks. Longitudinal studies are recommended to deepen the understanding of the relationship between FBG and blood pressure and to reinforce the scientific basis for evidence-based clinical interventions.

Cloud-native systems are essential for modern software development, offering enhanced scalability, flexibility, and resilience through cloud computing environments. However, ensuring the reliability and performance of these systems presents a challenge due to their dynamic and distributed nature. Traditional testing methods, such as unit and integration testing, while valuable for detecting individual component defects and interactions, are insufficient for predicting failure rates in complex, cloud-native applications. This study explores the effectiveness of various testing techniques and quality metrics in predicting failure rates within scalable cloud-native systems. A comparative experimental study was conducted using three primary testing techniques: unit testing, integration testing, and chaos testing. The results indicate that chaos testing, when combined with advanced quality metrics such as migration rate and mismigration rate, significantly outperforms traditional methods in predicting failure rates and evaluating system resilience. These findings suggest that chaos testing offers a more comprehensive evaluation, simulating real-world disruptions to test system behavior under stress, which is essential for cloud-native environments where high availability and fault tolerance are critical. The study also highlights the importance of integrating predictive quality metrics, which improve the accuracy of failure predictions and enhance system reliability. The study concludes that for cloud-native systems, a combination of advanced testing techniques and predictive metrics is essential for ensuring high availability, scalability, and reliability in dynamic environments. Future research should focus on refining predictive testing approaches, developing standardized frameworks, and empirically validating new testing methods to address the growing complexity of cloud-native systems.

Cloud native architectures are essential for modern software systems due to their ability to handle dynamic environments, scalability, and high availability. However, ensuring resilience in these systems remains a significant challenge, particularly under varying operational conditions such as high-load periods and failure scenarios. This study aims to assess the resilience of cloud native architectures using quantitative metrics that objectively evaluate key attributes such as availability, fault tolerance, recovery time, and scalability. Through the application of these metrics, the study identifies the strengths and weaknesses of the architecture, providing insights into how the system performs under stress and recovers from failures. The results show that while the architecture demonstrates strong availability and scalability under typical conditions, recovery time and scalability under extreme load conditions reveal areas for improvement. Specifically, issues with resource allocation and self-healing capabilities were identified as key weaknesses affecting the overall resilience of the system. These findings highlight the importance of using data-driven metrics to gain detailed insights into system resilience and to guide architectural improvements. The study also emphasizes the need for continuous monitoring and adaptation of the architecture to optimize fault tolerance and recovery processes. The implications of this research extend to cloud application developers and architects, offering actionable recommendations for improving system resilience. Future research could focus on integrating real-time monitoring systems, developing more advanced resilience metrics, and incorporating AI-driven scaling techniques to further enhance the adaptability and robustness of cloud native systems. By addressing these challenges, cloud native architectures can be better equipped to maintain high performance and reliability in dynamic, real-world environments.

The increasing demand for real time parallel processing in cloud computing environments necessitates the development of more efficient and fault-tolerant scheduling algorithms. Traditional scheduling methods, such as static algorithms, often fall short when handling dynamic workloads and system failures, leading to increased task latency and reduced system performance. In contrast, adaptive scheduling algorithms dynamically adjust to changes in system conditions and workloads, ensuring timely task completion and optimized resource utilization. This study evaluates the performance of adaptive scheduling algorithms in real time cloud environments, focusing on key factors such as task latency, system resilience, and fault tolerance. Simulation experiments were conducted using cloud computing models that incorporate fault injection scenarios, including network failures and virtual machine crashes. The results show that adaptive algorithms significantly outperform traditional static schedulers in terms of task latency reduction and improved system resilience. These algorithms demonstrated better fault recovery times and ensured consistent real time performance, even under failure conditions. The findings highlight the advantages of adaptive scheduling in cloud environments, particularly for applications requiring rapid data processing and high system reliability. Despite the promising results, challenges remain regarding the scalability and complexity of these algorithms in large-scale cloud systems. Further research is needed to optimize adaptive scheduling algorithms for efficiency, scalability, and comprehensive performance evaluation, taking into account factors such as energy consumption, cost, and reliability. This research contributes to advancing cloud computing infrastructures that can dynamically handle real time tasks and maintain high performance under varying workloads and failures.

The increasing demand for rapid software delivery has led to the widespread adoption of Continuous Integration (CI) and Continuous Deployment (CD) pipelines. These pipelines automate the processes of code integration, testing, and deployment, significantly improving the speed and reliability of software development. However, traditional CI or CD pipelines often overlook security testing, leading to vulnerabilities in the deployed software. To address this gap, this study proposes an integrated framework that embeds automated security testing within the CI or CD process. The framework incorporates security testing tools such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Vulnerability Assessment and Penetration Testing (VAPT) to ensure continuous security checks throughout the development lifecycle. The experimental results show that the proposed framework enhances early vulnerability detection, with detection rates increasing from 30% to 70%. Additionally, the framework reduces deployment failures from 50% to 20%, demonstrating its effectiveness in improving software dependability. While the integration of automated security testing adds a slight 5% increase in pipeline execution time, this minimal impact does not significantly affect the overall speed of the pipeline. The proposed approach successfully balances security and efficiency, ensuring that software is both secure and delivered at high speed. This research highlights the importance of integrating security into CI or CD pipelines and demonstrates that it is possible to achieve high security without sacrificing the speed of software development. The study also discusses the practical implications for software development teams and suggests areas for future research, including the integration of advanced AI-driven security testing tools and the expansion of the framework's applicability across different software projects.

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.

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.

Pulmonary tuberculosis (TB) remains a major public health problem in Indonesia. Despite the implementation of national TB control programs through the Directly Observed Treatment Shortcourse (DOTS) strategy, treatment success continues to face significant challenges, particularly related to patient adherence to anti-tuberculosis drug (ATD) therapy. Non-adherence to TB treatment can lead to treatment failure, disease relapse, and the development of drug-resistant tuberculosis, thereby increasing the overall burden of the disease.Treatment adherence in TB patients is influenced not only by medical factors but also by social and behavioral determinants. Family support plays a crucial role in encouraging patients to comply with treatment regimens by providing motivation, reminding medication schedules, and offering emotional support throughout the long duration of therapy. Patients who receive adequate family support tend to demonstrate higher levels of treatment adherence compared to those with limited support.In addition, the use of herbal medicine as a preventive and supportive health measure is common among the Indonesian population. Herbal medicine is often utilized to enhance immune function, reduce medication side effects, and improve patient comfort during TB treatment. However, the use of herbal remedies without proper medical guidance may lead to misconceptions regarding standard TB therapy.Therefore, it is important to examine the relationship between family support and the use of herbal medicine as preventive measures with treatment adherence among pulmonary TB patients in primary healthcare settings. Such evidence is expected to support a comprehensive family medicine approach and strengthen TB control programs in primary care services.

This study aims to conduct an in-depth analysis of the psychological journey of the character Rangga Raja in the novel 0 MDPL by Nurwina Sari. The main focus of the study is to identify the inner conflicts experienced by the protagonist as well as the dynamics of the personality structure consisting of the Id, Ego, and Superego that shape his psychological development throughout the storyline. This research employs a literary psychology approach using a qualitative descriptive method, conducted through a literature review and document analysis of the novel text as the primary data source. The findings indicate that Rangga Raja experiences complex emotional conflicts resulting from past trauma, experiences of loss, and failures in romantic relationships. These conditions are reflected through the tensions and interactions between the Id, Ego, and Superego within himself. The process toward the “zero point” (0 MDPL) is interpreted as a symbol of an identity crisis phase as well as a stage of self-reconstruction, in which the protagonist undergoes processes of reflection, self-acceptance, and openness to change. In addition, Rangga’s interactions with other characters, such as Andini, La Nina, and Nadia G. Sahara, play an important role in his psychological recovery and healing process. This study confirms that the novel 0 MDPL represents a profound reflection on human psychological dynamics, the search for identity, and the gradual process of inner healing.

Hypertension in the elderly requires long-term treatment to prevent cardiovascular consequences. Adherence to antihypertensive medication is crucial for blood pressure management. Adherence to antihypertensive medication is a crucial aspect in hypertension management. Poor adherence can lead to uncontrolled blood pressure, thereby increasing the risk of cardiovascular problems, including stroke, myocardial infarction, and heart failure. This study aims to determine the correlation between adherence to antihypertensive medication and blood pressure in the elderly at the Ronggo Husada Primary Inpatient Clinic in Malang. This study used a cross-sectional design. The cohort consisted of 52 geriatric patients with hypertension who consistently visited the Ronggo Husada Primary Inpatient Clinic in Malang. The sample consisted of 40 patients. The sampling method used was purposive sampling. Research factors included medication adherence and blood pressure. Data collection was conducted through a questionnaire. This study was conducted at the Ronggo Husada Primary Inpatient Clinic in Malang on November 6, 2025. Data processing used the Chi-square test. The analysis included univariate and bivariate analyses, using the Chi-square test. The results showed that more than 50% of elderly participants demonstrated moderate adherence to antihypertensive medication (18 individuals (45%). Nearly 50% of elderly participants suffered from stage I hypertension (14 individuals (35%), and stage II hypertension (11 individuals (27.5%). Statistical analysis using the Chi-square test showed a significant correlation between adherence to antihypertensive medication and blood pressure in the elderly, with a p-value of 0.000, which is below the alpha threshold of 0.05 (5%). Elderly individuals who demonstrated strong adherence had better blood pressure regulation compared to those with poor adherence. These results emphasize the importance of adherence to therapy in the management of hypertension in the elderly.    

The development of Artificial Intelligence (AI) has significantly influenced the formation of contracts in civil law, particularly through the automation of clause drafting, risk analysis, and the standardization of contractual documents. The use of AI in contract drafting raises complex legal issues, especially concerning the validity of agreements and the attribution of legal liability in the event of default. This study aims to analyze the validity of contracts created through Artificial Intelligence from the perspective of Indonesian civil law and to examine models of legal liability in AI-based contracts. This research employs a normative legal method with statutory and conceptual approaches, examining the provisions of the Indonesian Civil Code, particularly Article 1320, as well as legal doctrines and scholarly perspectives on digital contracts and AI. The findings indicate that AI-based contracts are, in principle, legally valid as long as they fulfill the requirements of a valid agreement, namely the consent of the parties, legal capacity, a specific object, and a lawful cause. Artificial Intelligence cannot be positioned as a legal subject because it lacks intent, consciousness, and the capacity to bear rights and obligations, and therefore functions solely as a technological tool. Consequently, legal intent and liability remain attached to the human or legal entity that uses, controls, or benefits from AI. This study also emphasizes that the primary challenge of AI-based contracts lies in the absence of specific legal regulations governing the allocation of liability among AI users, system providers, and developers, particularly when default occurs due to algorithmic errors or system failures. Therefore, clearer, adaptive, and comprehensive regulations are required to ensure legal certainty, protect the parties involved, and maintain a balance between technological innovation and the principles of justice in AI-based contractual practices in Indonesia.

The use of laminated bamboo columns as alternative building materials has attracted increasing attention, particularly as a substitute for wood in construction. Bamboo lamination techniques enable the production of structural materials with tailored mechanical properties. Numerous previous studies have investigated the compressive strength of laminated bamboo short columns subjected to various treatments. This study aims to evaluate the compressive strength and failure patterns of laminated bamboo short columns under compression loading. The experimental program included physical and mechanical characterization of bamboo, followed by compression testing of laminated bamboo short columns with dimensions of 10 cm × 10 cm × 30 cm. Three treatment variations were examined: untreated laminated columns, epoxy resin–coated columns, and steel plate–reinforced columns. The results indicate that untreated laminated bamboo columns exhibited an average compressive strength of 28.044 MPa, with cracking concentrated at the top of the column. Epoxy resin–coated laminated bamboo columns achieved an average compressive strength of 28.774 MPa, showing crack formation distributed across several regions of the column. Steel plate–reinforced columns demonstrated the highest average compressive strength of 31.138 MPa, with failure localized in the region between the steel plates. These findings provide valuable insights into the effectiveness of different treatment methods in enhancing the compressive performance and failure characteristics of laminated bamboo columns.