This research aims to analyze effective strategies in optimizing the use of social media, especially on the YouTube platform, by students of Sharia Economic Law. The focus of the study is on students' efforts to utilize social media as a relevant and beneficial tool within the context of social media business from an Islamic perspective, while also identifying legal protection issues related to YouTube and Instagram social media content. The qualitative research method involves strategy analysis through surveys, interviews, and observations of Syariah Economic Law students, particularly those who are content owners (youtubers) actively using YouTube as a platform for content uploads. The content produced by YouTubers is acknowledged as copyright that needs protection. The obtained data is then analyzed to explore and document comprehensive aspects within the KEDUNGSAPUR region. The research findings provide profound insights into the optimization of social media usage by Sharia Economic Law students, revealing inadvertencies in mentioning and attributing specific parties disseminated in the public domain. This may lead to prohibited defamation in Islam and conflict with the ITE Law. Islam emphasizes the importance of conveying information truthfully and avoiding manipulation or exploitation of facts. Other findings indicate that the presence of hackers has an impact on the protection of YouTube and Instagram by YouTubers. The implications of this research can contribute to the development of innovative learning strategies and enrich the understanding of students regarding the implementation of Sharia Economic Law in the digital era.
 
 

Porang flour, extracted from the tuber of the porang plant (Amorphophallus muelleri), is known as a food ingredient rich in fiber and low in calories. This study aims to measure the crude fiber content in porang flour tested at the Food and Agricultural Product Technology Laboratory, Faculty of Agricultural Technology, Universitas Gadjah Mada. Based on the analysis, the average crude fiber content in porang flour was found to be 0.79%, with a standard deviation of 0.02%. However, no crude fiber content was found in the porang flour gel sample. These findings provide important insights into the potential of porang flour as a fiber source in the development of food products. The results also demonstrate product quality consistency, which can serve as a foundation for the development of healthier food industries.

This study investigates health disparities in maternal and child healthcare within low-income communities. By analyzing healthcare access, quality, and outcomes, the research highlights factors contributing to health inequities, such as socioeconomic status, education level, and healthcare infrastructure. The findings underscore the need for targeted policy interventions and community health programs to address these disparities and improve maternal and child health outcomes.

Quantum computing has the potential to revolutionize machine learning by offering exponential speed-up for specific algorithms. This study explores the theoretical and practical implications of using quantum computing to optimize machine learning models, such as in training neural networks. The findings provide insights into the possible improvements in computational efficiency, particularly for large datasets and complex models.

This article explores how inflation affects consumer purchasing behavior in emerging markets. Through a combination of qualitative and quantitative research methods, the study examines changes in spending habits, preferences for goods, and brand loyalty during periods of high inflation. The findings highlight the adaptive strategies consumers employ to manage their purchasing decisions and the implications for marketers in these economies.

This research presents a numerical investigation into heat transfer in nanofluid flow using an advanced lattice Boltzmann method (LBM). The study modifies the standard LBM to incorporate the unique properties of nanofluids, such as enhanced thermal conductivity. We simulate convective heat transfer in a pipe with varying nanoparticle concentrations, assessing the effects on heat transfer rates. Results show that nanofluids significantly improve heat transfer efficiency, offering valuable insights for engineering applications in cooling systems.

This paper explores the use of genetic algorithms (GAs) for optimizing nonlinear systems in resource allocation. By simulating various allocation scenarios, we demonstrate the efficiency of GAs in finding near-optimal solutions in complex environments. The study provides a comparison of GA performance against traditional optimization methods and identifies scenarios where GAs outperform. The results emphasize the utility of GAs in real-world applications, especially when conventional approaches struggle with large solution spaces.

This paper investigates the stability characteristics of fractional order differential equations (FODEs) incorporating time delays. Using the Lyapunov-Krasovskii method, we derive sufficient conditions for the stability of solutions to these delayed fractional systems. The theoretical findings are applied to several examples, including models of population dynamics and engineering systems. Numerical simulations validate the theoretical results, demonstrating the role of time delays in system behavior and stability.

This study compares different machine learning models for time series forecasting in financial data analysis. Models including ARIMA, LSTM, and GRU are applied to predict stock price movements. We measure the accuracy and computational efficiency of each model on various datasets and discuss their strengths and weaknesses in financial forecasting contexts. The findings suggest that deep learning models show significant improvement in capturing complex temporal patterns over traditional methods.

This study investigates the impact of parental leave policies on family well-being and work-life balance. By comparing parental leave durations, compensation rates, and eligibility criteria across various countries, the research explores how different policies affect parental mental health, family bonding, and gender equality in the workplace. Findings suggest that comprehensive parental leave policies contribute to stronger family bonds and reduced stress, benefiting both parents and children.