According to data from the Maternal Perinatal Death Notification (MPDN), the maternal death recording system of the Ministry of Health, the number of maternal deaths increased from 4,005 cases in 2022 to 4,129 cases in 2023. The objectives of this research are:Identify Variable Relationships: To assess how staff training, technology usage, and data integration affect the accuracy and efficiency of recording and reporting.Evaluate Direct and Indirect Effects: To analyze the direct and indirect impacts of these variables on the outcomes of the recording and reporting system. Provide Improvement Recommendations: To develop recommendations for enhancing the recording and reporting system based on the analysis results. Research Methodology Path analysis is required to evaluate the relationships between various factors that influence the recording and reporting system.Steps in Path Analysis: Data Collection, Path Analysis Model, Statistical Analysis, Interpretation of Results. Staff Training (X1): Data Accuracy (Y1): ? = 0.45 (p < 0.01).Reporting Efficiency (Y2): ? = 0.40 (p < 0.05), Technology Usage (X2):Data Accuracy (Y1): ? = 0.35 (p < 0.05)Reporting Efficiency (Y2): ? = 0.55 (p < 0.01), Data Integration (X3):Data Accuracy (Y1): ? = 0.50 (p < 0.01), Reporting Efficiency (Y2): ? = 0.45 (p < 0.01). Path analysis reveals that staff training, technology usage, and data integration have a significant impact on the recording and reporting system at Ardimulyo Health Center. Improvements in these three variables can enhance the accuracy and efficiency of reporting. Recommendations for improvement include investing in staff training, implementing better technology, and enhancing data integration.

Adolescence is a crucial developmental stage because adolescents experience various important changes. The most important cognitive change in adolescence is an increase in executive function, which involves high-level cognitive activities such as reasoning, decision making, critical thinking skills, and increasing one's cognitive abilities. Adolescents in this stage are faced with new experiences to find identity, one of which is to explore interests and talents as well as career paths to be pursued. Currently, many changes are occurring, one of which is the transition from industry 4.0 to industry 5.0. This situation requires each individual to adapt and face freedom in the career transition period. The purpose of this study was to identify the effects of resilience on the career readiness of students at SMA Negeri 1 Malang. The technique used in this study is correlational descriptive quantitative research with a random sampling system. The results of the Pearson correlation show that there is a significant relationship between resilience and career readiness as evidenced by the results of the linearity test value of 0.876 (p > 0.05).

The implementation of digital medical records in Indonesian hospitals faces various challenges, especially in terms of technological readiness, inadequate regulations, and data security threats that need to be addressed to ensure efficient and safe healthcare services. This study aims to identify the challenges in Digital Medical Record Implementation from the perspective of technology, regulation, and data security. This study used a systematic literature review research approach guided by the Preferred Reposrting Items for Systematic Review and Meta-Analysis (PRISMA). The results showed that the implementation of digital medical records in Indonesian hospitals faces considerable challenges from three main perspectives, namely technology, regulation, and data security. The technology perspective includes several challenges such as 1) System Interoperability, 2) Privacy, 3) IT Infrastructure Limitations, 4) Implementation Costs and 5) Maintenance and Technology Adoption by Medical Staff. The regulatory perspective includes challenges such as 1) Regulatory Compliance, 2) Patient Data Protection, 3) Validity of Medical Records, 4) Long-term Data Retention and 5) System Interoperability. The data security perspective includes challenges such as 1) Infrastructure Security, 2) Data Encryption, 3) Access Control, 4) Incident Response and 5) Regular Security Audits.  Thus, collaborative efforts between the government, hospitals and technology providers are needed to address these challenges and drive safe and effective digital transformation in Indonesia's healthcare sector.

This study discusses the application of the Project Based Learning (PjBL) method in Fiqh learning at MI Nurussalam through cutting and pasting activities. This research is motivated by fiqh learning which has a monotonous and boring impression and low fiqh learning outcomes in grade 2 MI Nurussalam. The PjBL model involves active students, increasing students' motivation and critical thinking process. The purpose of this research is to increase the activeness of students and their learning outcomes. The research was conducted through a classroom action research approach with two cycles. The second cycle is a cycle of improvement from the reflection of the first cycle. Learning outcomes are evaluated through observation sheets. Learning outcomes and student activity increased from the first cycle to the second cycle, learning became more interactive, and the target of completeness of learning outcomes was achieved in the second cycle. Therefore, it can be concluded that the PjBL model is proven to be able to increase the activeness and learning outcomes of students at MI Nurussalam Mantingan.

This study aims to determine the effect of Corporate Social Responsibility disclosure, Good Corporate Governance, and Company Size on Company Profitability. This study uses a quantitative causality approach. The data used are secondary data in the form of annual financial reports of the food and beverage sub-sector listed on the IDX in 2021-2023. The sampling technique used purposive sampling, so that a sample of 24 companies was obtained. The data analysis technique used multiple linear regression analysis which was tested using SPSS 25. The results of the study show that CSR disclosure partially has a significant positive effect on company profitability. Partially, GCG has no effect on profitability. While company size partially has a significant negative effect on profitability. Simultaneously, CSR Disclosure, GCG, and Company Size affect Company Profitability. Companies are expected to continue to implement and improve CSR disclosure, form audit committees not only to meet formal and regulatory requirements, but also to optimize the function and real contribution of the audit committee itself. And it is hoped that large companies can use their assets efficiently in their company operations, so that the company's profitability is maximized.

The aim of this research is to find out what obstacles are faced by PT. Lotus Prakasa Lines Surabaya in implementing ship crew recruitment strategies. This implementation was carried out at the PT. Lotus Prakasa Lines Surabaya office, during which the author carried out ground practice (PRADA) from August 2023 to February 2024. The source of data obtained was primary data which was directly obtained from the research site by means of observation, direct interviews with company employees as well as secondary data sources, namely literature related to the title of the thesis. The results of this research indicate that the implementation of ship crew recruitment at PT Lotus Prakasa Lines Surabaya contained several obstacles which resulted in the ship crew recruitment process being slow. At PT Lotus Prakasa Lines Surabaya, among other things, crew selection that is in accordance with the owner's request is not yet timely, certificates and crew documents that have expired or are close to expiring before the contract expires, and communication between Lotus and the owner is slow due to the time difference between Indonesia and overseas.

Memory ability plays an important role in achieving optimal results in cognitive aspects, especially in the context of education which is measured through learning achievement. One of the methods used to hone memory is through memorizing the Qur'an. A study was conducted to examine the effect of the ability to memorize the Qur'an on improving cognitive aspects in tahfidz class students at Bustanul Ulum High School in Central Lampung. The research method used was quantitative involving 33 participants. Data were collected through observation, questionnaires to assess the ability to memorize the Qur'an, and documentation of students' report cards. The results showed that the ability to memorize the Qur'an had a significant effect on improving students' cognitive aspects, with an R Square value of 29.7%. That is, about 29.7% of the improvement in cognitive aspects can be explained by the ability to memorize the Qur'an. Other factors outside the method of memorizing al-Qur'an also contribute to the increase.

The dynamic regulatory landscape presents significant challenges for International Standard Schools (SBI) in Indonesia, impacting their ability to meet global educational standards while integrating local cultural values. This study aims to explore the regulatory challenges faced by SBIs and their implications for educational quality and cultural integration. The method used is library research, which involves reviewing relevant literature and studies on regulations and the implementation of international standard programs. The findings reveal that although SBIs strive to provide high-quality education and facilities in line with international standards, they are often hindered by fluctuating regulations and inadequate financial support. Additionally, the study highlights the importance of a consistent and supportive regulatory framework, sustainable funding sources, and the adoption of an inclusive curriculum that respects local cultural values. These insights offer valuable implications for policymakers, educational institutions, and stakeholders, emphasizing the need for collaborative efforts to enhance the stability and effectiveness of SBIs in Indonesia. By addressing these challenges, SBIs can better fulfill their role in providing internationally competitive education while preserving Indonesia’s rich cultural heritage.

Nowadays, robots in the modern world are playing an important and increasingly popular role. MRA (Mobile Robotic Assistant) is a type of mobile robot designed to support humans in many different fields, helping to improve efficiency and safety in daily activities, work, or medical treatment. The number of MRAs is increasing and diverse in function, in addition to the ability to collect and process data, MRAs also have the ability to physically interact with users. Therefore, security is one of the important issues to improve the safety and effective operation of MRA. In this paper, through a comprehensive literature review and detailed analysis of the prominent MRA security attacks in recent years (based on criteria such as: attack targets, technologies used, impact level, feasibility, and contribution to addressing overall MRA security issues), a systematic classification by MRA activity fields is conducted. Security attacks, threats, and vulnerabilities are examined from various perspectives, such as hardware attacks or network/system-level attacks, operating systems/application software. Additionally, corresponding security solutions are proposed, compared, and evaluated to enhance MRA security. The paper also addresses challenges and suggests open research directions for the future.

This research aims to enhance mental well-being by addressing symptoms of anxiety and depression through a personalized, culturally specific multimodal emotion prediction system. It employs an emotionally aware Reinforcement Learning (RL) agent to suggest tailored Cognitive Behavioral Therapy (CBT) activities. The study focuses on developing precise, individualized emotion prediction models using facial expressions, vocal tones, and text, and integrates these models with the RL agent for emotionally aware CBT recommendations. The mHealth approach combines deep learning models with RL, achieving accuracies of 72% for facial expressions, 73% for vocal tones, and 86% for text, all fine-tuned for the Sri Lankan context. Validation through real-world use and user feedback consistently demonstrated that each model exceeds 70% accuracy, fulfilling the objective of precise emotion prediction. A weighted algorithm was introduced to refine the emotion prediction experience and personalize forecasts across the three modalities to enhance mental well-being. The RL-enabled agent suggests CBT activities approved by mental health professionals, tailored based on predicted emotions, and delivered through the same mHealth application. The effectiveness of these interventions was assessed using the DASS-21 questionnaire, revealing significant reductions in depression scores (from 21.08 to 13.54) and anxiety scores (from 19.85 to 10.46) in the study group compared to the control group. The study concludes that integrating multimodal emotion prediction models with RL-based CBT suggestions positively impacts mental well-being and contributes to personalized mental health interventions.