This research is based on the low motivation to learn in the Natural and Social Sciences (IPAS) learning process. The purpose of this study is to increase students' motivation to learn by using kahoot media in Natural and Social Sciences subjects in class V CMadrasah Ibtidaiyah Nurul Yaqin Simpang Sungai Duren. This type of research is Classroom Action Research (PTK). Data collection techniques are carried out by means of interviews, tests, observations and documentation. The subject of this research is students of class V C. This research was carried out in semester 2 of the 2024/2025 school year. The results of this study show that using kahoot media can increase the learning motivation of students in Natural and Social Sciences class V C. Details of the results of students' observations using kahoot media have increased from cycle I with an average score of 63.35% can be categorized as poor and in cycle II it increased to 80.10% with a good category. It was concluded that using kahoot media can increase student motivation in the Natural and Social Sciences subject class V C Madrasah Ibtidaiyah Nurul Yaqin Simpang Sungai Duren..

This research aims to determine the direct and indirect influence of leadership style and work environment on employee performance through work motivation as an intervening variable. This type of research uses quantitative because it leads to measurement methods and samples to test variables and hypotheses. The data sources in this research use primary and secondary data. The sample in the research was 31 CV employees. Timbul Jaya Motor Kediri uses a saturated sampling technique which uses all members of the population as samples. The analysis technique used is the measurement model test or outer model including the discriminant validity test, average and the structural model test or inner model which includes the R-square, Q-square test and hypothesis test.. The results of the research show that Leadership Style (X1), and Work Environment (X2), Work Motivation (Z) have a significant and positive effect directly on Employee Performance (Y) and Leadership Style (X1), and Work Environment (X2) indirectly has a significant and positive effect on Employee Performance (Y) through Work Motivation (Z) as an intervening variable. This research also shows that the coefficient of determination (R2) of employee performance variables has an influence of 88.9% in influencing leadership style and work environment variables while the remaining 11.1% is influenced by other variables not discussed in this research so that further research uses other variables outside this research. In this study, it is implemented that a company's performance factors are influenced and can be improved through leadership style and work environment variables through work motivation.
 
 

This study aims to analyze the aircraft maintenance procedures following a bird strike incident on Engine #1, focusing on incident identification, maintenance actions taken, damage evaluation, follow-up recommendations, and compliance with aviation industry standards. Data for the study were obtained through official technical documentation such as the Technical Standard Manual (TSM) and Aircraft Maintenance Manual (AMM). Data analysis was conducted using the Miles & Huberman method, which includes stages of data collection, data reduction, data presentation, and conclusion drawing. Data validity was ensured through source triangulation, relying on various related documents to strengthen the findings. The results showed that the maintenance procedures applied were in accordance with international standards. Post-incident maintenance was carried out systematically and well-documented, with no procedural violations or technical neglect. The damage evaluation of Engine #1 revealed that the corrective actions implemented were effective, ensuring the aircraft's safe return to service. Recommendations for further maintenance include enhancing supervision of existing procedures. Overall, the post-incident maintenance met best practices in the civil aviation industry, ensuring aircraft safety and reliability.

This journal defines public policy as actions taken by governmental authorities to address specific social issues and emphasizes citizen participation as a key element in the democratic process. It outlines the importance of community involvement in policymaking to enhance legitimacy, governmental accountability, and the quality of policies. Factors influencing citizen participation include education, socioeconomic status, and access to information. The theoretical framework underscores the significance of active participation for successful community development, particularly highlighting the role of Generation Z in political engagement through digital platforms.Various methods for involving citizens in decision-making—such as public forums, surveys, and online platforms—are discussed, alongside the benefits of integrating technology to promote transparency and inclusivity. To explore this phenomenon in depth, a qualitative research method with an exploratory case study approach is employed. The study involves in-depth interviews with key informants such as public officials, representatives of civil society organizations, and Generation Z citizens who are actively engaged in digital participation. Additionally, participatory observation of public policy forums and documentation of various technology-based participatory initiatives are conducted. Thematic analysis is used to identify patterns, themes, and factors that influence the effectiveness of citizen participation in policymaking. Data validity is ensured through source and method triangulation, as well as member checking with selected respondents.This paper also presents case studies of successful participatory initiatives while addressing challenges such as unequal power dynamics and limited access to information. The recommendations focus on strategies to raise awareness, enhance transparency, encourage inclusivity, and foster a culture of active participation to ensure that policies reflect the diverse needs of society. Overall, meaningful citizen engagement is deemed essential for effective governance and policymaking.

This study aims to analyze the optimization of the role of Dandim 1301/Sangihe in handling the eruption of Mount Ruang as part of the implementation of the Indonesian Army’s (TNI AD) main duties in the field of Military Operations Other Than War (OMSP). The research was conducted in Sitaro Regency, North Sulawesi, using a qualitative approach with purposive sampling techniques. The informants consisted of personnel from Kodim 1301/Sangihe, BPBD staff, and community leaders. Data was collected through interviews, observations, and documentary studies. The results show that the role of Dandim is crucial in coordinating and mobilizing disaster response, but there are still challenges such as limited personnel, logistics, equipment, and weak inter-institutional coordination. The study concludes that optimization can be achieved through the development of a disaster risk map, strengthening inter-institutional collaboration, utilizing technology (drones), and conducting routine disaster training and simulations. These measures are expected to improve the effectiveness and speed of response in facing volcanic eruptions.

Air pollution is one of the most pressing environmental issues with significant impacts on human health. This study aims to examine the relationship between air pollution levels and human health disorders, as well as to identify effective mitigation solutions. Using a descriptive qualitative approach, data were collected through literature reviews from various journals, WHO reports, and other official sources. The analysis shows that exposure to air pollutants, particularly fine particulate matter (PM2.5), carbon monoxide, nitrogen dioxide, and ozone, can trigger respiratory, cardiovascular, and mental health disorders, and adversely affect children and pregnancies. These impacts are both short-term and long-term, including increased premature mortality and reduced quality of life. To minimize these effects, strategic solutions are needed, such as strengthening emission regulations, promoting eco-friendly transportation, using air purifiers, developing green open spaces, and providing public education. This study emphasizes the importance of collaboration between the government, society, and the private sector in creating clean air and a sustainably healthy environment.

Diabetes is the body’s inability to efficiently break down sugar or secrete enough insulin required to process glucose, which supports normal bodily functions. Diabetes, as a prevalent chronic disorder, has contributed to numerous underlying health challenges among its carriers and is classified by the WHO as the world’s deadliest disease and silent killer. Its non-communicable nature makes early diagnosis difficult, allowing progression through various stages: type I, type II, pre-diabetes, and gestational. This challenge is further compounded by the imbalanced nature of diabetes datasets, which leads to high misclassification, poor generalization, and reduced accuracy. This study predicts diabetes using a bi-directional long short-term memory (BiLSTM) model applied to two datasets: (a) PIMA Indian Diabetes and (b) Iraqi Society Dataset, to evaluate the impact of six known balancing techniques and assess their effectiveness. Results show that for PID, the SMOTE-Tomek fused BiLSTM outperforms other balancing schemes with F1, Accuracy, Precision, Recall, and Specificity scores of 0.9182, 0.9198, 0.9128, 0.9248, and 0.9208, respectively. For ISD, it also achieves the best performance with values of 0.9367, 0.9369, 0.9386, 0.9388, and 0.9313, respectively. Other balancing approaches yielded F1 scores ranging from [0.6751 to 0.9347], accuracy [0.684 to 0.9358], Precision [0.6851 to 0.9296], Recall [0.6639 to 0.9356], and specificity [0.6658 to 0.9298]. These results imply that BiLSTM is resilient to the vanishing gradient problem and can effectively classify diabetes cases with enhanced performance.

Merokok merupakan salah satu kegiatan yang menyebabkan masalah kesehatan yang serius bagi masyarakat, karena dapat menyebabkan berbagai penyakit kronis dan ketergantungan. Selain itu, interaksi antara perokok dan non-perokok juga berisiko, karena paparan asap rokok dapat meningkatkan kemungkinan terjadinya penyakit pada individu yang tidak merokok. Untuk mengatasi permasalahan ini, maka perlu adanya pengontrol optimal yang efektif mampu menekan banyaknya perokok konvensional dan perokok elektrik. Metode lagrange digunakan untuk menyelesaikan permasalahan kontrol optimal. Edukasi terkait bahaya merokok diberikan kepada individu yang berpotensi merokok, agar mereka tidak menjadi perokok konvensional atau perokok elektrik. Kampanye difokuskan untuk meningkatkan kesadaran tentang manfaat berhenti merokok, dan ditujukan untuk perokok baik konvensional maupun elektrik. Hasil simulasi menunjukkan bahwa dengan melakukan kontrol melalui edukasi tentang bahaya merokok pasif dan kampanye berhenti merokok efektif dalam menurunkan jumlah perokok. Hal ini menunjukkan bahwa metode lagrange dapat menjadi pendekatan yang efektif dalam mengendalikan populasi perokok.

This study was conducted with the aim of determining the effect of profitability represented by Return On Assets (ROA), Return On Equity (ROE), Earning Per Share (EPS) and Capital Structure represented by Debt to Equity Ratio (DER) on Stock Returns in Infrastructure sector companies listed on the Indonesia Stock Exchange (IDX) for the period 2021-2023. The number of samples in this study were 43 companies with a total of 109 data.  This study uses an associative method with a quantitative approach. The data source used is secondary data. The data analysis method used are descriptive statistical analysis, classical assumption test, multiple linear regression analysis, hypothesis testing, and determination coefficient test (R2). The results of this study are that ROA has a positive and significant effect on stock returns. ROE has a positive and significant effect on stock returns. EPS has no effect on stock returns. DER has a negative and significant effect on stock returns

This study was conducted to determine: 1) the influence of work-life balance on employee performance at PDAM Tirta Limutu, Gorontalo Regency, 2) the influence of co-worker support on employee performance at PDAM Tirta Limutu, Gorontalo Regency, and 3) the influence of work-life balance and co-worker support on employee performance at PDAM Tirta Limutu, Gorontalo Regency. This study is associative with a quantitative approach, which aims to analyze the relationship between the variables studied. The data analysis method used is multiple linear regressions. The primary data analyzed was obtained through interviews and direct observation of the research object. The data collection process was carried out by distributing questionnaires to respondents. At the same time, the sampling technique used the census method, where the entire population was used as a sample in this study. The results of the study indicate that partial work-life balance (X1) has a positive and significant effect on the performance of PDAM Tirta Limutu employees in Gorontalo Regency, support from co-workers (X2) has a positive and significant effect on the performance of PDAM Tirta Limutu employees in Gorontalo Regency. Simultaneously, work-life balance and support from co-workers positively and significantly affect the performance of PDAM Tirta Limutu employees in Gorontalo Regency.