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This study aims to analyze the quality control of car tire production at Company X using the Statistical Process Control (SPC) method. The data used in this research are secondary data obtained from GitHub, consisting of weekly production and defect data observed over one year with a total of 52 observations. The analysis was carried out using descriptive statistics, histograms, P-charts, and cause-and-effect (Ishikawa) diagrams. The histogram results indicate that the distribution of defects is right-skewed, showing that most defects occur at a moderate level, although several extreme values are present. The initial P-chart analysis revealed several points below the lower control limit, indicating the presence of special cause variation and suggesting that the production process was not fully stable. After removing out-of-control data and recalculating the control limits, the revised P-chart showed that all data points were within the control limits, indicating that the production process was statistically under control. Furthermore, the Ishikawa diagram identified potential causes of defects related to human factors, machines, methods, materials, and the working environment. Overall, the results demonstrate that SPC is an effective tool for monitoring production stability and providing a systematic basis for improving quality consistency in car tire manufacturing processes.

This study investigates the adoption of adaptive DevOps practices in embedded systems used in safety-critical industrial applications. Traditional DevOps models, which are primarily designed for cloud-based systems, face significant challenges when applied to embedded platforms due to hardware constraints, real-time performance requirements, and stringent safety standards. The research focuses on developing a tailored DevOps framework that integrates continuous integration/continuous delivery (CI or CD) pipelines, automation, real-time monitoring, and safety assurance processes to enhance system reliability, performance, and compliance with regulatory standards. The study uses a case study methodology, involving embedded system teams across multiple industrial sectors, to assess the impact of these adapted DevOps practices on system stability and operational efficiency. Key findings show that the adoption of adaptive DevOps practices led to significant improvements in system reliability, performance, and deployment stability. Continuous feedback mechanisms allowed for early issue detection and faster resolution, leading to enhanced system uptime and responsiveness. Additionally, the integration of safety assurance into the DevOps pipeline ensured that safety-critical systems complied with required safety integrity levels and certification standards. The study further explores the integration of DevOps with embedded safety-critical systems, highlighting the benefits of cross-domain collaboration, enhanced communication, and the ability to address the unique challenges of these platforms. The research also underscores the limitations of conventional DevOps models in embedded systems and presents practical implications for the wider adoption of DevOps in safety-critical industrial applications. Future research is recommended to refine DevOps frameworks for embedded systems, integrating emerging technologies like the Industrial Internet of Things (IIoT) and Digital Twins to further optimize performance, security, and predictive maintenance.

Honesty (ṣidq) is a fundamental moral value in Islam that serves as the foundation for personal integrity and social ethics. In the current era of globalization and growing materialistic culture, this value faces serious challenges as societal orientation shifts from moral virtue to economic achievement and social image. This study employs a narrative review method, analyzing recent literature on moral education, Islamic ethics, and contemporary social dynamics. The findings reveal that honesty functions not only as a personal virtue but also as a social force that strengthens public trust and national stability. However, the global wave of materialism has weakened the internalization of ṣidq, especially among younger generations. Restoring honesty as the moral identity of the nation requires synergy among character-based education, spiritual reinforcement, and public policies that promote transparency and integrity. The recontextualization of honesty through Islamic spiritual principles and Rokeach’s value theory offers a path toward moral recovery for Indonesian society amid the global challenges of the 21st century.

The increasing adoption of collaborative robots in modern manufacturing environments requires reliable perception systems that can ensure both safety and operational efficiency during human–robot collaboration. This study proposes a CNN-based real-time computer vision system for object and human detection in shared robotic workspaces. The research focuses on developing and evaluating a single-stage deep learning detection model optimized for real-time performance while maintaining high detection accuracy. The proposed methodology includes dataset preparation, model training using transfer learning, real-time system implementation, and comprehensive performance evaluation. Experimental results demonstrate that the developed system achieves high detection accuracy, as reflected by strong precision, recall, and mean Average Precision (mAP) values, while maintaining low inference latency suitable for real-time operation. The system consistently operates above real-time frame-rate thresholds, ensuring timely perception updates required for safety-related decision-making in collaborative robotic environments. Graphical and quantitative analyses further confirm the stability of inference performance under dynamic interaction scenarios involving human movement and multiple objects. Compared with existing approaches, the proposed system provides a balanced trade-off between accuracy and computational efficiency, making it practical for deployment in safety-aware human–robot collaboration scenarios. Overall, the findings indicate that CNN-based real-time object detection systems can effectively support perception and situational awareness in collaborative robotics, contributing to safer and more efficient industrial automation.

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.

This study examines the criteria of disgraceful conduct in the dismissal mechanism of regional heads in Indonesia following Constitutional Court Decision No. 2/PUU-XX/2022. The decision underscores the necessity of a constitutional interpretation of the requirement “never having committed disgraceful conduct” in order to prevent abuse of power and political injustice in regional governance. Employing a normative legal research method, this study analyzes primary legal materials, including Constitutional Court decisions and statutory regulations, as well as secondary legal literature. The findings reveal that the notion of disgraceful conduct had previously functioned as a vague norm, enabling subjective and politically motivated interpretations, particularly by regional legislative bodies. The Constitutional Court, through its decision, transformed this open norm into a more limitative and objective standard by specifying concrete forms of conduct, such as gambling, intoxication, drug abuse, adultery, and other serious violations of decency. Furthermore, the Court emphasized that allegations of disgraceful conduct must be supported by clear, lawful, and verifiable evidence, in line with the principles of due process of law. This reformulation strengthens legal certainty, protects the political rights of elected regional heads, and preserves the stability of local governance. The study recommends legislative synchronization through amendments to the Regional Government Law and the issuance of judicial guidelines to ensure uniform standards of proof in dismissal proceedings, thereby reinforcing constitutional justice and the rule of law in Indonesia.

Highways play a strategic role in supporting economic development, so the quality of pavement materials (flexible pavement) must meet previously established quality standards. The Asphalt Concrete Wearing Course (AC-WC) layer, as the topmost layer of flexible pavement, is susceptible to damage caused by aging triggered by environmental conditions, particularly ambient temperature. Temperatures above 30°C are known to accelerate plastic deformation (rutting) and reduce pavement bearing capacity. The Meteorology, Climatology, and Geophysics Agency indicates that temperatures in Lhokseumawe City, North Aceh, range from 33.7–35.3°C with day-night fluctuations that could potentially accelerate the degradation of mechanical properties. This study aims to analyze the Marshall characteristics of AC-WC asphalt mixtures under ambient temperature conditions. The testing was conducted with varying exposure times of 0, 15, 30, 45, 60, 75, and 90 days at a minimum temperature of 23.90°C and a maximum temperature of 31.80°C, with an average humidity of 87.93%. The test results showed that the AC-WC asphalt mixture experienced a decrease in stability value of 21.37% and an increase in flow value of 36.36%, resulting in a decrease in the Marshall Quotient (MQ) value of 42.52%.

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.

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 banking sector plays a strategic role in supporting financial system stability and capital market development. Market performance, reflected through stock returns, represents investor confidence in a firm’s prospects and sustainability. In recent years, investors have increasingly considered non-financial factors such as intellectual capital and corporate social responsibility in evaluating firm value. However, empirical findings regarding the effect of these factors on market performance remain inconsistent, particularly in the Indonesian banking sector. This study aims to examine the effect of intellectual capital and corporate social responsibility on market performance of conventional commercial banks listed on the Indonesia Stock Exchange during the 2021–2024 period. This research employs a quantitative approach using secondary data obtained from annual reports and sustainability reports. Intellectual capital is measured using the Value Added Intellectual Coefficient method, while corporate social responsibility is measured using a disclosure index based on the Global Reporting Initiative. Market performance is proxied by stock returns. Data analysis is conducted using multiple linear regression with the Ordinary Least Squares approach. The results indicate that intellectual capital and corporate social responsibility have a positive and significant effect on market performance. These findings suggest that effective management of intangible assets and social responsibility disclosure can enhance investor perception and firm value. The results provide important implications for bank management in formulating value-enhancing strategies and for investors in making investment decisions.  

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.

Unemployment is a socio-economic problem that can threaten the stability of the Indonesian economy. This study analyzes the effect of minimum wages, exports, foreign investment, and the human development index (HDI) on the unemployment raefrom 1990 to 2023. Using the Ordinary Least Square (OLS) multiple linear regression estimation method, to correct bias in the estimation, the Newey-West HAC standard errors approach is used. Minimum wages and foreign investment have a significant negative effect on the open unemployment rate, confirming that wage increases can boost productivity, foreign investment creates direct jobs through the construction of production facilities and economic multiplier effects in supporting sectors. The most surprising finding of the HDI which has a positive effect and exports which are proven to be insignificant on the unemployment rate, this shows that human capital formation is not in line with existing job opportunities due to rapid technological changes, as well as export-increasing policies which focus more on capital intensity. The study provides important implications for policymakers, maintaining and optimizing minimum wage increases and foreign investment in a measurable manner because they have proven effective in reducing unemployment rates. Reorienting export strategies policy from capital-intensive to labor-intensive, increasing the human development index adjusted to technological developments, especially in the business and industrial world.

The rapid development of artificial intelligence (AI) in the medical field has become an important part of the learning process and health services. Preparing medical students as future healthcare professionals to understand, use, and implement AI responsibly is a crucial aspect. This level of readiness can vary depending on their knowledge, abilities, perceptions, and ethics in using AI. This study aims to determine the readiness of young medical students in the Surabaya area in using artificial intelligence based on these four domains, and to compare scores between first-year professional students and undergraduate students. This study used a quantitative descriptive design with a cross-sectional approach. The instrument used was the Medical Artificial Intelligence Scale for Medical Students questionnaire, which consists of four domains: knowledge, abilities, perceptions, and ethics. The study sample was first-year and second-year professional students of the Faculty of Medicine, Ciputra University. Data analysis was performed using descriptive statistics including mean values, standard deviations, and frequency distributions for each domain. The results showed that the total readiness scores for DM1 (89.95 ± 11.84) and DM2 (88.38 ± 8.85) showed a positive picture, with minimal mean differences. The knowledge and skills domain showed almost uniform values ​​between the two groups, while the ethics domain had the highest stability with a very small mean difference. These findings indicate that the readiness of professional students at the Faculty of Medicine, Ciputra University, towards the use of AI shows a positive and relatively even picture at all levels.  

Down Syndrome (DS) is a genetic disorder characterized by trisomy of chromosome 21 and is inherently associated with clinical manifestations such as hypotonia, joint laxity, and neuromuscular deficits, all of which collectively contribute to impaired postural control and balance. These balance impairments significantly affect the attainment of motor milestones, performance of daily activities, and increase the risk of falls. This study aims to analyze the effectiveness of core stability training in improving balance among children with DS. A narrative review approach was employed by conducting a literature search across electronic databases including PubMed, Scopus, Google Scholar, and ResearchGate. Inclusion criteria consisted of primary studies (RCTs, quasi-experimental designs) published within the last ten years (2015–2025) that examined core stability interventions targeting balance or postural control in children with DS. A review of 10 relevant studies demonstrated that core stability training, either as a standalone intervention or combined with other modalities (e.g., treadmill training or balance training), resulted in significant improvements in both static and dynamic balance. These improvements are facilitated through the strengthening of deep trunk muscles (such as the multifidus, transversus abdominis, and rectus abdominis), which play a crucial role in proximal stabilization and force transfer to the extremities. In conclusion, core stability training is an effective and recommended intervention modality within physiotherapy rehabilitation programs to enhance the quality of life and motor independence of children with Down Syndrome.  

Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices. Abstract: Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices.

Radiographic examination of the wrist plays a crucial role in diagnosing fractures, particularly in traumatic cases, and requires precise projection selection, proper immobilization, and adequate radiation protection to obtain high-quality diagnostic images. In theory, wrist radiography commonly includes anteroposterior (AP) and lateral projections; however, observations at the Radiology Installation of RSU PKU Muhammadiyah Delanggu showed that fracture examinations are generally limited to posteroanterior (PA) and lateral projections. This difference highlights a gap between theoretical recommendations and clinical practice, as several references emphasize the importance of projection variation to enhance diagnostic accuracy. This study aimed to describe the wrist joint radiographic examination procedures for fracture cases at RSU PKU Muhammadiyah Delanggu and to examine the immobilization techniques applied during the procedure. A descriptive qualitative design with a case study approach was used, conducted from May to June 2025. The subjects included three radiographers, while the object of study was wrist radiography in fracture cases. Data were obtained through direct observation, interviews, and documentation, and analyzed descriptively. The findings showed that PA and lateral projections were consistently used, with immobilization achieved using sandbags and foam pads to ensure stability and minimize motion artifacts. Radiation protection was implemented through lead aprons, collimation, and appropriate exposure adjustments. Overall, the procedures followed established radiography guidelines, particularly the Bontrager standard, ensuring both diagnostic quality and patient safety.

This manuscript does not aim to resolve ideological, historical, or religious claims over territory. Instead, it examines how contemporary forms of power shape protracted conflict through governance mechanisms that regulate land, labor, and resources. Drawing on conflict transformation theory, political economy, and critical governance studies, the article argues that dominant peace frameworks—centered on territorial partition, security coordination, or economic cooperation—are structurally limited because they leave asymmetric governance arrangements intact. These arrangements enable control without political integration, allowing domination to persist even in the absence of formal annexation. By reframing territorial maximalism as a governance project rather than a purely ideological aspiration, the study demonstrates how expansionist ambitions are operationalized through regulatory authority over space, mobility, and economic life. The case illustration of Jericho shows how localized stability and development initiatives can coexist with deep structural dependency when governance authority is not shared. Economic activity and administrative capacity, often interpreted as indicators of progress, may instead stabilize unequal power relations. To address these limitations, the article advances the concept of cooperative territorial governance as a pathway for conflict transformation independent of final-status agreements. By institutionalizing shared authority over labor regulation, land use, and resource management, this framework challenges governance-based domination and offers a pragmatic foundation for transforming the structural conditions sustaining modern territorial conflicts.

Drug abuse constitutes a serious threat to public health, social stability, and national security. This study examines law enforcement mechanisms against drug abuse under Indonesian Law Number 35 of 2009 on Narcotics and evaluates preventive measures implemented to combat this phenomenon. Employing a normative juridical approach through a comprehensive literature review, this research analyses the implementation of both penal and non-penal approaches in addressing narcotics-related offences. The findings reveal that law enforcement practices predominantly emphasise punitive measures, despite legislative provisions accommodating rehabilitation for drug users. The dual approach integrating criminal sanctions with social and health services remains suboptimal due to institutional constraints, limited rehabilitation facilities, inadequate training for law enforcement personnel, and weak inter-agency coordination. Preventive efforts through education, family empowerment, school-based programs, community engagement, and media campaigns have been implemented but continue to face challenges, including social stigma and insufficient public awareness. This study recommends strengthening restorative justice implementation, expanding rehabilitation service capacity, and enhancing cross-sectoral collaboration to build societal resilience against drug abuse while ensuring that users receive appropriate treatment rather than mere criminalisation.

The capital market plays a strategic role in supporting national economic growth through its function of raising funds and providing investment vehicles for the public. However, the integrity of the capital market is often threatened by the practice of insider trading, which involves securities transactions conducted using material, non-public information by certain parties for personal gain. This practice violates the principles of fairness and transparency and has the potential to harm public investors and undermine confidence in the capital market. This study aims to analyze the law enforcement mechanisms for insider trading in the Indonesian capital market and examine legal protection efforts for investors. The research method used is qualitative research with a descriptive approach through a literature review of laws and regulations, scientific journals, books, and publications from the Financial Services Authority (OJK) and the Indonesia Stock Exchange. The results indicate that law enforcement against insider trading is carried out through mechanisms of supervision, investigation, and the imposition of administrative, civil, and criminal sanctions. However, the effectiveness of law enforcement still faces various challenges, particularly in proving the use of insider information and the complexity of transaction technology. Furthermore, insider trading negatively impacts investor confidence and capital market stability. Investor protection efforts are implemented through a preventative approach, including information disclosure, supervision, and investor education, as well as a repressive approach through legal sanctions, dispute resolution, and whistleblower protection. This research is expected to provide theoretical contributions to the development of capital market law and practical recommendations for strengthening law enforcement and investor protection in Indonesia.