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Background: Ceflurane, which is a halogenated ether, is packaged in liquid form, colorless, non-explosive, odorless and non-irritating so it is good for inhalation induction. Research objective: To find out the effect of sevoflurane on blood pressure in patients under general anesthesia. Research Method: The design of this study is a quantitative type using a descriptive approach with a population of 36 people The sample used in this study is purposive sampling with as many as 33 respondents This research was conducted at Ibnu Sina Hospital,Gresik Regency during February-May 2024. The variable in this study is an overview of the effect of sevoflurane on blood pressure. results: An overview of the effect of sevoflurane on blood pressure showed that of the 33 respondents, they had a blood pressure of 15 minutes after being given sevoflurane with an average of 113.36, a median of 114.00, a standard deviation of 10.977 with the blood pressure of general patients after being given sevoflurane at least 93 mmHg and a maximum of 140 mmHg. Conclusion: Based on the study, the picture of the effect of sevoflurane on blood pressure in general anesthesia patients decreased.

Tuna fisheries are a strategic sector in Indonesia's fishing industry, contributing significantly to the national economy. Albacore tuna (Thunnus alalunga) has high economic value and is one of the main commodities in international trade. This study aims to analyze the effect of different longline setting times on albacore tuna catches in the Seas of Benoa Harbor. The setting times compared were morning (08:00–10:00) and afternoon (14:00–16:00), focusing on the quantity and weight of the catch. The research method used was an experimental approach with two setting time treatments and nine replications for each treatment. Data obtained were analyzed using a T-test to determine significant differences between morning and afternoon catches. The results showed that the average catch in the morning was higher than in the afternoon, both in terms of individual count and fish weight. The average fish weight obtained in the morning was 63.78 kg, while in the afternoon, it was only 28.67 kg. Statistical analysis indicated a significant difference between morning and afternoon catches, with a T-Statistic value of 2.38, which exceeded the T-Critical value (2.12) at a 5% significance level (p-value = 0.0366). This suggests that the morning setting time is more optimal for catching albacore tuna than the afternoon setting. Catch variation was also greater in the morning, as indicated by a higher standard deviation compared to the afternoon. This difference may be attributed to the daily migration patterns of albacore tuna, which are more active in feeding during the morning, as well as environmental factors such as water temperature and light intensity. Based on these findings, this study recommends that fishers in the Seas of Benoa Harbor should set their longline fishing gear in the morning to maximize their catch.

Labeling in adolescents can be formed from a deviation that occurs due to a negative gap in their social environment, which affects their behavior and lifestyle. Islamic Junior High School are not differentiated from other public schools because adolescents always want to try new things to find their identity. In addition, the formation of self-concept is also obtained from the process of interaction with the social environment with the suitability between self-image and ideal self. This study aims to see the relationship between self-concept formation and labeling actions in adolescents, so this research is quantitative correlation with data collection using a questionnaire. The results obtained from this study show that there is an act of labeling in schools with Islamic values and the formation of self-concept in adolescents can be influenced by the act of labeling with a positive and significant value. Adolescents who are socially labeled will see themselves as the label given by their environment.  

This study set out to investigate the connection between Nigerian deposit money banks' financial success and their dividend policies. This is accomplished by reviewing existing theoretical and empirical the signaling hypothesis served as the foundation for the study and the creation of literature. The Financial Statements and Annual Reports of 18 (18) Deposit Money Banks in Nigeria for the years 2015–2019 provided the data for this study, which used a longitudinal survey research approach. The arithmetic mean, standard deviation, minimum and maximum values, and the Auto-Regressive Distributed Lag (ARDL) regression technique were used to analyze the data produced for this study using both descriptive and inferential statistics. E-Views version 10 was used to calculate these. The study's conclusions showed that dividend policies had a mixed impact on the financial performance of Nigerian deposit money institutions. However, the dividend pay-out ratio significantly and negatively correlates with financial performance (return on equity), dividend yield has no discernible impact on the financial performance (ROE) of Nigerian deposit money institutions. The greatest African economy is that of Nigeria, which was rated as Determining the percentage of dividend payments that would improve financial performance in terms of return on equity requires management of deposit money banks to have a strong and sound dividend policy in place. They should also put in more effort to raise dividend yield and improve its influence on the financial performance (return on equity) of deposit money banks in Nigeria.

 Election integrity is a key element in ensuring democratic legitimacy, yet election fraud remains a significant threat to this process. This research aims to evaluate the use of Bayesian statistics in detecting anomalies in vote distributions that may indicate potential election fraud. In the context of elections, whose reliability is often questioned, statistical analysis becomes crucial to ensure transparency and credibility in election results. This study uses national election data collected from various polling stations (TPS), focusing on vote distribution per candidate in each TPS. A Bayesian probabilistic model is applied to analyze the observed vote distribution compared to the expected distribution. By using Bayesian inference, researchers can update the probability distribution based on the obtained data, allowing for more accurate anomaly identification. The analysis results show significant deviations in several TPS, where the observed vote distribution exhibits patterns inconsistent with the expected distribution. These anomalies are suspicious as they may indicate manipulation or errors in the vote counting process. The implications of this research suggest that the Bayesian method can be used to improve election transparency and provide a more reliable tool for detecting fraud. The future application of this technique can help increase public trust in election results and support the integrity of the democratic process. This study also recommends further development of the analytical model to expand the scope of anomaly detection and enhance fraud detection accuracy in larger and more complex elections.

This study aims to analyze the effect of body angle variations on propulsion force, drag coefficient, and freestyle swimming performance using a biomechanical approach. Movement efficiency in swimming plays a crucial role in improving athlete performance. This study employed a quantitative experimental design with university or club-level swimmers with at least three years of training experience as subjects. Subjects were selected through purposive sampling with the criteria of being healthy, familiar with freestyle techniques, and willing to follow the research procedures. The instruments used included 3D motion capture to record body angles and movement coordination, force sensors to measure propulsion force and drag coefficient, and a timekeeping system to calculate average speed. The body angle variations tested were 0°, 15°, and 30°, each with three replications. Data were analyzed using descriptive statistics to describe the mean, standard deviation, and data distribution, and comparative statistics (ANOVA or paired t-test) to compare performance between angle variations. The results showed that a 15° body angle provided optimal performance, with increased average speed and propulsion efficiency compared to 0° and 30° body angles. These findings confirm that body angle regulation plays a crucial role in reducing water resistance and increasing propulsion. The study concluded that a 15° body angle is the ideal position for improving freestyle swimming performance. Further research is recommended to expand the number of subjects, explore variations in other swimming strokes, and integrate physiological data for more comprehensive results.

Adolescence is a crucial stage in a person's life that is characterized by various changes. This period is characterized by high curiosity about various things, including promiscuity and drug abuse issues. This research is intended to overcome a number of challenges in increasing public awareness and knowledge, especially among adolescents, about the dangers of promiscuity and drug abuse at SMA Negeri 8 South Tangerang. This research design used the Quasi Experiment method with the One Group Pre Test-Post Test design. This research was conducted at SMA Negeri 8 South Tangerang in October 2024. The sampling technique applied was non-probability sampling technique and the sample used consisted of 32 students from SMA Negeri 8 South Tangerang. It can be seen that the average value of the difference in knowledge before and after the provision of health education is 24.53, with a standard deviation of 12.139, and obtained a Sig. (2-tailed) value of 0.000. It can be concluded that, overall, the activities of providing education through health counseling for students of SMA Negeri 8 South Tangerang regarding the dangers of promiscuity and drugs show positive results. Keywords: Adolescents, Drugs, Education, Promiscuity.

Adolescence is a crucial stage in a person's life that is characterized by various changes. This period is characterized by high curiosity about various things, including promiscuity and drug abuse issues. This research is intended to overcome a number of challenges in increasing public awareness and knowledge, especially among adolescents, about the dangers of promiscuity and drug abuse at SMA Negeri 8 South Tangerang. This research design used the Quasi Experiment method with the One Group Pre Test-Post Test design. This research was conducted at SMA Negeri 8 South Tangerang in October 2024. The sampling technique applied was non-probability sampling technique and the sample used consisted of 32 students from SMA Negeri 8 South Tangerang. It can be seen that the average value of the difference in knowledge before and after the provision of health education is 24.53, with a standard deviation of 12.139, and obtained a Sig. (2-tailed) value of 0.000. It can be concluded that, overall, the activities of providing education through health counseling for students of SMA Negeri 8 South Tangerang regarding the dangers of promiscuity and drugs show positive results. Keywords: Adolescents, Drugs, Education, Promiscuity.

The use of ECG patterns as predictors of preeclampsia offers a promising approach, as it is a widely available and cost-effective tool. Specific ECG patterns, including angle of deviation, QRS Complex (Right Ventricular Hypertrophy (RVH) , Left Ventricular Hypertrophy (LVH)), and T wave amplitudes as a potential tool for predicting preeclampsia. The aim of this study is to investigate the predictive role of angle of deviation, QRS Complex (Right Ventricular Hypertrophy (RVH) , Left Ventricular Hypertrophy (LVH)), and T wave amplitudes in preeclamptic pregnant women during the third trimester. Fourty (40) consenting pregnant women were recruited from St. Philomina Catholic Hospital, Edo State, Nigeria. These subjects consisted of  twenty (20) normotensive  and twenty (20) preeclamptic pregnant women in their  third trimester of pregnancy. After the subjects were  identified and recruited into the study, they were taken to the laboratory where their vital signs was taken and their ECG patterns recorded with ECG machine. Data obtained from this study were analysed using Graph Pad Prism 9. Results generated were expressed as mean ± SEM and a P-value of ≤ 0.05 were considered statistically significant. Results from this present study show no significant differences were observed in QRS complex angles related to right ventricular hypertrophy (RVH) between normotensive and preeclamptic pregnant women. Notably, there was a significant increase in QRS complex related to left ventricular hypertrophy (LVH) in preeclamptic pregnant women, indicating left ventricular remodeling's importance. Moreover, there was a significant increase in T wave amplitude, this suggests underlying myocardial electrical remodeling or dysfunction in preeclampsia, emphasizing the need for cardiovascular monitoring. The study underscores the multifactorial nature of cardiovascular changes in preeclampsia and highlights the potential of ECG parameters in aiding early detection.

During the time of Rasulullah SAW, Muslims did not need certain rules in understanding sharia law. After the spread of Futuhat Islamiyah, Arab Muslims interacted a lot with other nations who had different languages. On the other hand, the need for ijtihad is very urgent, because there are many new problems that have never occurred before and require clarity in fiqh law. So two large madrasahs emerged that reflected their ijtihad method - the Ahlir-ra'yi Madrasah used more qiyas (analogies) to generate heated debates, thus making the ulama feel the need to create written regulations that were recorded as common law in uniting these two madrasas. The hadith about being more careful in giving fatwas and qiyas gave rise to heated debate, making the ulama feel the need to make written rules which were recorded as joint laws in uniting the two madrasas. Imam Syafi'i was the first person to write a book about ushul fiqh-Imam Syafii was a great mufti of the Muslim community who was also the founder of the Syafi'i school, developing his school in Baghdad. Ushul fiqh is the postulates of fiqh which are global in nature - The object of the discussion is to study the postulates which are still of a general nature seen from their general legal provisions and the ultimate aim of studying them is to protect the Islamic religion from deviations and misuse of the postulates of the Shari'a, so that misleading carelessness does not occur.

This research seeks to find an approach between modern trends in management accounting and cost reduction. The research problem was represented by a number of questions with the aim of identifying the intellectual and applied frameworks of its variables, and then diagnosing the level of interest in it in the field, as well as identifying the appropriate procedures by the company. Three main hypotheses were developed to measure the level of correlation and influence between the research variables. The research was conducted in Al-Enjaz Juice Manufacturing Company as a field for research and testing its hypotheses. The target cost method, the cost method based on activities, and the balanced scorecard method were adopted. The research used many statistical methods in the analysis, such as standard deviations, arithmetic averages, with the help of statistical programs (SPSS.var.29). A set of results was reached, the most important of which is the existence of a correlation relationship and the influence of modern management accounting applications in reducing costs

The challenges faced by families of children with Autism Spectrum Disorder (ASD) in Internally Displaced Persons (IDP) camps are exacerbated by the unique context of displacement. In Nigeria, the ongoing humanitarian crisis due to conflicts, natural disasters, and other socio-political factors has led to a significant increase in the number of IDPs, with many seeking refuge in camps across the South East and North Central regions. The study adopted a descriptive survey design to explore challenges faced by families of children with Autism Spectrum Disorder (ASD) in IDP camps in South East and North Central Nigeria. A sample of 80 participants was drawn using a stratified sampling technique. Data were collected through a validated and reliable questionnaire, capturing demographic details and relevant challenges. Descriptive statistics, including mean, standard deviation, variance, and harmonic mean, were used to summarize findings, while hypotheses were tested using Analysis of Variance (ANOVA). Among 80 participants, most caregivers were younger than 35 years (67.5%) and unemployed (46.3%). Financial, emotional, and social challenges varied by caregivers’ age and camp duration. Families staying over 12 months reported higher financial challenges (mean = 18.67, SD = 3.98). Emotional challenges were highest for parents aged 46+ years staying 3 months (mean = 21.67). Social challenges followed similar patterns. ANOVA results showed no significant differences in challenges across groups, emphasizing universal difficulties faced by families. The findings emphasize the urgent need for targeted interventions, including increased awareness campaigns, capacity-building programs for caregivers, and improved access to essential services such as therapy, education, and mental health support within IDP camps.

The development of digital technology based on Artificial Intelligence (AI) has had a significant impact on society, including the emergence of new crimes such as deepfake pornography. Deepfake pornography is a form of AI misuse that creates fake pornographic content by manipulating a person's face into a video or image without consent. This phenomenon raises complex legal issues within the Indonesian criminal law system. This study aims to examine how Indonesian criminal law regulates AI deviations in the form of deepfake pornography and to assess the effectiveness of these regulations in providing legal protection. This research uses a normative approach with qualitative analysis methods and the theory of legal effectiveness as the analytical tool. The research findings indicate that AI deviations in the form of deepfake pornography are not specifically regulated in Indonesia's positive criminal law. The applicable regulations are still general in nature, scattered across several laws such as the Electronic Information and Transactions Law (ITE Law), Personal Data Protection Law, Pornography Law, Sexual Violence Criminal Act Law, Copyright Law, and the Criminal Code (KUHP), which do not comprehensively address the technological aspects and psychosocial impacts of this crime. Based on Soerjono Soekanto's theory of legal effectiveness, the existing regulations are not yet effective, as seen from the legal substance, law enforcement, legal facilities and infrastructure, community factors, and legal culture. Therefore, a responsive legal reform is needed to keep pace with digital technological developments, along with strengthening the capacity of law enforcement institutions.

This research aims to understand the impact of the integration between artificial intelligence (AI) technologies and cyber security on administrative decisions in three aspects: (1) decision-making speed, (2) decision accuracy, and (3) decision effectiveness. A sample of 150 employees was drawn, and a survey was used to gather the required information. Data analysis was conducted using the statistical program SPSS 25, employing various statistical methods such as mean, standard deviation, correlation coefficient, and simple linear regression. The research concluded with several findings, the most important being: The integration of AI technologies and cyber security leads to improved speed, accuracy, and effectiveness of administrative decisions, The researcher recommended that institutions adopt AI technologies to enhance their cyber security systems, particularly in areas like machine learning and big data analysis.

This research was carried out in class V of Islamiyah Private Elementary School with the aim of finding out the influence of the Small Group Learning Model on the Learning Creativity of Class V of Islamiyah Elementary School Students for the 2022-2023 Academic Year. The samples taken in this research were Class V of the Islamiyah Private Elementary School, Class V A as the Control Class and Class V B as the Experimental Class. Test results regarding the influence of the Small Group Learning Model (X) and Student Learning Creativity (Y) in class V of Islamiyah Private Elementary School for the 2022/2023 Academic Year. The influence of using the Small Group Learning Model has been proven from the results of research conducted on Class V students of Islamiyah Elementary School. The 2022/2023 academic year provides positive results. The results showed that the Small Group Learning Model was in the good category, and this result was also followed by student learning creativity being included in the good category with an average score for the experimental class of 82.2. It is known that by calculating the variable X, the average value is 82.2 and the standard deviation is 9.06. And variable Y obtained an average value of 51.67 and a standard deviation of 7.81. From the calculation of the hypothesis price th = 0.06, the significance of the hypothesis coefficient is consulted with the calculated t value table. The t table value with N = 60 at the 5% significance level = 0.245. This turns out to be 0.245 >. 0.06 This proves that the hypothesis is accepted. From the results of hypothesis testing using the product moment correlation formula, it is found that tcount > ttable so that Ha is accepted, Ho is rejected. So there is an influence on student learning creativity using the Small Group Learning Model.

Blasting is an activity that breaks rocks from their parent rock using explosives to create smaller fragments, making the loading and transportation processes easier. One of the environmental impacts of blasting activities is ground vibration. Ground vibration is one of the outcomes of blasting activities, and it is measured using the PPV (Peak Particle Velocity) value. Ground vibration can become a problem for companies if it exceeds the safe vibration quality standard (SNI 7571: 2010), as it can pose a danger to humans and nearby buildings. The Air Deck is an air column in the blast hole that aims to reduce energy vertically, this method can reduce the use of explosives. This research was conducted at the Sentuk Pit of PT. Multi Harapan Utama in East Kalimantan. Observations were made during 42 blast events to determine the impact of the air deck method on the resulting vibration. During the study, the maximum PPV value was 13.87 mm/s, while the minimum PPV value was 1.13 mm/s. The average ground vibration measurement value for non-air deck blasting was 4.40 mm/s, while the average ground vibration measurement value for air deck blasting was 3.95 mm/s. The use of this method also reduced the powder factor value. For non-air deck blasting, the average powder factor value was 0.26 kg/m³, and for air deck blasting, the powder factor value was 0.20 kg/m³, resulting in a 23.08% reduction in explosive usage. To calculate the predicted PPV, scaled distance calculations were used. Based on the predicted PPV calculation results, the deviation from the actual PPV was 1.59 mm/s.

This literature review was motivated by Deddy Corbuzier's podcast. Podcasts are a medium for conveying information that is currently widely used by content creators. The aim of this research is to describe the principles of language politeness in Deddy Corbuzier and Echa Haura's podcast. This research was conducted because the author found many violations of the maxim of appreciation. The method used in this research is the literature study method. In the library study method, the research carried out is by collecting data and analyzing relevant data. Based on the discussion, there are 4 deviations from the rules in the Deddy Corbuzier and Echa Haura podcast.

Pharmaceutical Wholesalers or commonly known as PBFs are companies in the form of legal entities that have permits to procure, store and distribute large quantities of pharmaceutical supplies in accordance with the provisions of applicable laws and regulations. PBF must implement a quality system that includes quality risk management principles. An effective quality management system must include a Corrective Action and Preventive Action (CAPA) process to address deviations and prevent the same problems from occurring again in the future. The research was carried out by reviewing cases found by the Center for Food and Drug Monitoring (BBPOM) at PBF "X" and then continuing with an analysis of corrective actions and corrective actions that needed to be taken to overcome these cases of deviation. The results of the research show that the preparation of the CAPA by PBF PBF “X” has implemented most of the provisions contained in the CDOB guidelines well.

This paper presents an IoT-enabled dual-axis solar tracking system that integrates  a Kalman filter and a Proportional-Integral-Derivative (PID) controller to enhance tracking accuracy, energy efficiency, and operational stability. Addressing the ongoing challenge of maxi- mizing photovoltaic (PV) panel output, the proposed system leverages an ESP32 microcontroller and the Blynk platform to provide real-time monitoring, remote parameter adjustments, and flexible connectivity. Light Dependent Resistor (LDR) sensors measure sunlight intensity from multiple directions, while MG90S servo motors dynamically adjust the panel’s azimuth and elevation. The Kalman filter refines noisy sensor data to yield precise sun position estimates, enabling the PID controller to respond quickly and accurately to deviations in panel orientation. Through extensive testing conducted over several days, including both clear and partially cloudy conditions, the system achieved an average Root Mean Square Error (RMSE) as low as 1.2° under clear skies and maintained RMSE below 2.0° even under partial shading. Compared to a fixed-panel baseline, daily energy harvesting improved by approximately 43%. These results confirm that advanced estimation and control algorithms, when combined with IoT functionali- ties, significantly outperform simpler tracking methods and static installations. Furthermore, the low-cost, compact design and user-friendly interface facilitate practical deployment in a range of scenarios, including small-scale and off-grid installations. By ensuring continuous alignment of the PV panel with the sun, the system not only increases overall energy capture but also reduces maintenance requirements through remote oversight. This research thus offers a robust, scalable approach to improving solar energy utilization in diverse and evolving environmental conditions.

The “AntriSmecone” queuing system was implemented in the PPDB process at SMK Negeri 1 Purwokerto to improve efficiency by up to 70%. However, the system encountered several issues, such as race condition conflicts in queue numbers and code execution errors caused by automatic translation. This study employs the IT-IL V3 framework, focusing on the Service Operation domain to analyze IT service management, particularly in the subdomains of incident management and request fulfillment. The research methodology includes interviews, observations, questionnaire distribution, and literature studies. The analysis results indicate that the system's maturity level is at level 4 (Managed and Measurable), with an average score of 3.74. The system has structured and monitored procedures, allowing deviations to be effectively addressed. Recommendations were formulated to optimize incident management and fulfill user requests. This study contributes to the development of the “AntriSmecone” system to ensure service quality and efficiency in the PPDB process.