The potential of cardiac markers in predicting preeclampsia, such as Creatinine Kinase (CK) and Tyrosine Kinase 1 (TK1), has emerged as promising due to their involvement in the pathophysiology of this pregnancy complication. Preeclampsia is characterized by hypertension and organ dysfunction, and it can lead to significant maternal and fetal morbidity if not detected early. Early identification of preeclampsia is critical for preventing severe complications, and biomarkers like CK and TK1 can provide valuable insights. This study aimed to investigate the role of CK and TK1 as potential predictors of preeclampsia in the third trimester of pregnancy. Forty (40) consenting pregnant women were recruited from St. Philomina Catholic Hospital, Edo State, Nigeria. Participants were divided into two groups: twenty (20) normotensive pregnant women and twenty (20) preeclamptic pregnant women in their third trimester. Blood samples were collected and processed using a bucket centrifuge at 2500 RPM for 10 minutes, and plasma was stored frozen for further analysis. Tyrosine Kinase 1 was analyzed by fluorescence immunoassay, and Creatinine Kinase was measured using a spectrophotometric method. Data obtained were analyzed using GraphPad Prism 9, with results expressed as mean ± SEM. Statistical significance was set at a P-value of ? 0.05. The study found a statistically significant increase in the levels of both CK and TK1 in preeclamptic women compared to normotensive controls. These findings suggest that CK and TK1 could serve as predictive biomarkers for identifying and monitoring preeclampsia, aiding in early diagnosis and timely interventions

Fiqh learning at MA Islamic Centre Bin Baz Yogyakarta faces challenges, particularly in understanding the Fathul Qarib Al-Mujib book, which is written in Arabic. This difficulty is more pronounced among students without a pesantren background, affecting their academic performance. Observations indicate that only 60% of students achieve learning mastery, while 40% score below the minimum competency standard (KKM) of 80. To address this issue, this study aims to examine the effectiveness of PPT Canva as a learning medium in improving the learning outcomes of tenth-grade students. This research employs a quasi-experimental method with a Nonequivalent Control Group Design. The sample consists of two classes: the experimental class, which uses PPT Canva, and the control class, which does not. Data were collected through written tests (pretest and posttest), observations, and documentation, then analyzed using the t-test and N-Gain test with SPSS Windows 25. The findings reveal that using PPT Canva significantly improves learning outcomes, with a significance level of 0.032 (<0.05). The average pretest score for the experimental class was 54.14, increasing to 84.34 in the posttest, with an N-Gain score of 0.6469 (moderate category). The percentage of learning mastery increased from 0% to 85.71%. Thus, it can be concluded that using PPT Canva is effective in enhancing Fiqh learning outcomes for tenth-grade students at MA Islamic Centre Bin Baz Yogyakarta.

Skills and abilities are needed by students in carrying out MBKM internship activities in various institutions. This is necessary so that students can perform at their best during their internships at various institutions. In addition to the need for internships, the skills acquired by students can be implemented in the workforce once they graduate from their bachelor's degree. This service aims to realize the golden generation in 2045 and the fourth astacita, which is to strengthen human resource development. There are 3 main activities provided during this training, namely: three service activities that include strengthening work ethics, cultural and work ethos training, and enhancing digitalization skills. These three main activities are the core activities that must be attended by intern students as an initial step to optimize their skills and abilities. Based on the results obtained, such optimization programs are very helpful for students as an initial step in preparing for internships at institutions. In addition, students have knowledge of how to quickly adapt in their institutions. This is very relevant and needs to be continuously developed to ensure that students are optimally prepared to face an increasingly competitive in world of work.

The implementation of Financial Accounting Standards Statement (PSAK) 116, which replaces PSAK 30, aims to enhance financial statement transparency by eliminating off-balance sheet transactions. This study reviews the literature on the impact of PSAK 116 on earnings management practices. The literature review findings reveal differing results across studies; some indicate that PSAK 116 improves transparency and reduces earnings management, while others suggest that PSAK 116 instead encourages earnings management to maintain certain financial ratios. Factors such as firm size, industry sector, regulatory environment, and corporate governance influence how PSAK 116 affects managerial behavior. The implications of this study highlight the importance of oversight and additional regulations to minimize the likelihood of financial statement manipulation, as well as the need for further research to understand the impact of PSAK 116 across various industry contexts and business environments.

Artificial intelligence can change many industries as a global phenomenon. Over the years, this transformation has supported Electronic Markets in reengineering the processes and activities that take place in traditional markets, focusing on improving transaction effectiveness and efficiency. While our dependence on intelligent machines continues to grow, the demand for more transparent and interpretable models equally grows. Thus, explanations for machine decisions and predictions are needed to justify their reliability, which requires greater interpretability and often elaborates the need to understand the algorithms' underlying mechanism. This paper, therefore, proposed models based on Decision Tree (DT), Long Short-Term Memory (LSTM), and an ensemble of the two aforementioned models for improving CLV accuracy, interpretability, and explainability of AI-based models in the multi-category electronic market. An open-source e-commerce Behavior Data from a multi-category store, previously used by similar studies on XAI and CLV, was used in this experiment, ensuring the robustness of the product prediction and explanations and fair comparison. From the results, the models from this study demonstrated remarkable performance in terms of minimal error rates of MAE, MSE, and RMSE, with LSTM outperforming the other models. Regarding explainability and interpretation, the begin_time is ranked as the most relevant feature in CLV prediction.

The growth of e-commerce and online transactions has changed the trade landscape, but has also raised a number of legal challenges regarding consumer rights. Through a juridical approach, this research explores various aspects of legal protection provided to consumers in online transactions, including applicable regulations, obligations of business actors, and dispute resolution mechanisms. The aim of this study is to analyze juridically the legal protection of consumers in online transactions and steps to prevent illegal practice procedures. Method The research was conducted qualitatively with normative juridical and utilized journals and relevant books. The study results show that Indonesia has several foundations laws that protect consumer rights in online transactions, namely legislation consumer protection, trade legislation, Ministerial Regulations Trade Number 53 of 2018 concerning Procedures for Resolving Consumer Disputes Electronically and Government Regulation Number 99 of 2018 concerning Protection Consumers Through Electronic Commerce. Consumers who feel disadvantaged online transactions can take legal steps to protect their rights, including reporting the case to the Consumer Dispute Resolution Agency (BPSK) or the online platform used. It is recommended for consumers to understand, understand their rights when making online purchases, and read the terms and conditionsonline transaction terms before making a purchase.

Biogas is a renewable energy source with significant potential to reduce dependence on fossil fuels. However, conventional biodigester systems still face several challenges in monitoring methane gas production. Therefore, this research aims to design and develop a biogas digester prototype equipped with a stirrer and an Internet of Things (IoT)-based sensor to detect methane (CH4) gas levels. The research methodology involves designing a biodigester with an automatic stirrer and an MQ-2 sensor that can detect methane gas levels in real time. The data obtained is transmitted via ESP32 and displayed on the Blynk application. The research results show that the designed system can increase methane gas production and allow remote monitoring. The conclusion of this study is that the integration of IoT technology in the biodigester system can improve production efficiency and safety in biogas utilization.

Individuals who assume that their physical condition is not the same as their ideal body concept, then the individual will feel physically lacking, this condition causes the individual to be unable to accept their condition as it is so that they can experience body dissatisfaction. The purpose of this study was to determine the picture of body dissatisfaction in adolescent girls. This study used qualitative method with 4 female adolescents in grade VIII at SMP Negeri 2 Sragen. The results of this study were 75% of students felt less confident and less satisfied with their body shape and 25% of students felt satisfied with their body shape because they had an athletic and good body, students also explained that they liked their healthy body which made them able to play volleyball well and win championships.
 

Dengue Hemorrhagic Fever (DHF) remains a major public health issue in Indonesia, particularly in endemic areas like Simpang III Sipin Village. This disease is transmitted by Aedes sp mosquitoes, and the presence of their larvae is a key indicator of the potential spread of DHF. Environmental conditions, such as water reservoirs and humidity, alongside community behaviors, play significant roles in supporting the growth of these mosquito larvae. Therefore, research is needed to identify the factors influencing the presence of Aedes sp larvae. Methods: This study utilized a cross-sectional design with a quantitative approach. The sample consisted of 143 households, selected using purposive sampling techniques. Data were collected via questionnaires and direct observations. Additionally, measurements of environmental conditions such as air humidity and temperature were taken using a hygrothermometer. The variables under study included knowledge, attitudes, behavior regarding water reservoir drainage (TPA), number of TPAs, air humidity, and air temperature. Results: Data analysis was conducted using the Chi-Square statistical test to determine the relationships between the variables. The results indicated that factors like knowledge level (p = 0.008), attitude (p = 0.008), behavior related to draining water reservoirs (p = 0.001), number of water reservoirs (p = 0.013), and air humidity (p = 0.004) were significantly related to the presence of Aedes sp larvae. However, air temperature did not show a significant relationship (p = 0.675). Conclusion: High humidity environments encourage the growth of mosquito larvae, and insufficient knowledge and inadequate preventive behaviors contribute to increased mosquito populations, exacerbating the risk of DHF transmission.

This research aims to design a closed fish smoking device using coconut fiber as an energy source to smoke cursed fish or snakehead fish, which is different from traditional smoking equipment. This research was carried out in the tool making stage and the tool testing stage. This fish smoking tool modification is designed from an iron, aluminum frame and stainless steel rack. The open process of smoking fish at home has disadvantages such as unknown temperature and smoke, resulting in uneven maturity levels and longer smoking times. The research method was carried out by making tools and testing the tools. The time required for the process of smoking fish using this modified tool is around 50 to 60 minutes with the fuel amount being 2 kg of coconut husks and coconut shells with 150 ml of kerosene. This smoking tool is more efficient in carrying out smoking because the smoke is trapped in the drum tube, there is only one chimney so that the smoke is more easily absorbed by the fish and has a more distinctive characteristic in smoking.