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Energy efficiency is a critical concern in wireless sensor networks (WSNs) due to the limited power resources available in sensor nodes. Prolonging network lifespan while ensuring reliable data transmission is essential for successful deployment in various applications, such as environmental monitoring, military operations, and industrial automation. This paper presents a mathematical model designed to optimize energy consumption across various nodes in WSNs. By implementing simulations and analyzing data from these models, the study demonstrates significant improvements in extending network lifespan while maintaining reliable data throughput. The findings contribute valuable insights into energy management for large-scale sensor deployments.

This study explores the integration of hybrid AI control models, combining reinforcement learning (RL) and robust adaptive control, to improve the adaptability, performance, and stability of autonomous manufacturing systems. Traditional control systems, while effective under stable conditions, often struggle to cope with disturbances and varying production demands. Hybrid AI models, which integrate classical control methods such as Proportional Integral Derivative (PID) with machine learning techniques like RL, deep Q-networks (DQN), and deep deterministic policy gradient (DDPG), enhance decision-making capabilities in dynamic production environments. The study develops a hybrid RL robust control framework and tests it in both simulation and real-world scenarios. Performance metrics, including production efficiency, system stability, and adaptability, are assessed under various disturbance conditions, such as machine failures and fluctuating demands. The hybrid model significantly outperforms traditional PID control in terms of efficiency and stability, demonstrating faster convergence and better adaptability in dynamic environments. Statistical analysis confirms the superiority of the hybrid system over standalone RL models and traditional PID control. This model’s scalability and adaptability make it a promising solution for Industry 4.0 applications, addressing key challenges in real-world manufacturing systems by ensuring computational efficiency and the ability to manage large-scale data. The findings contribute to the development of more robust and efficient control strategies for autonomous manufacturing systems in uncertain environments.

It is natural that science and technology are currently developing, therefore it is required to be able to determine appropriate learning methods and media to facilitate the teaching and learning process. Until now, the selection and fulfillment of technology-based learning media is still very rarely carried out and implemented. To develop learning media for PBPMD student activities in Patemon village, namely holding community service where the main program is training in making e-books or digital books using multimedia applications as learning media in elementary schools in Patemon village. To maximize the use of Information and Technology (IT)-based media in learning and the supporting facilities available, training and assistance in creating IT-based media is carried out so that education in villages, especially Petemon village, also competes in IT developments.

In this research, researchers developed innovations in the use of technology-based learning media in mathematics learning. Based on searching for problems in the field, researchers found the monotony of the learning process and the lack of interest in mathematics learning, especially in class V fraction material. From the above problems, it is necessary to have learning media that can be interesting and fun for students. This research aims to determine the suitability and readability of students in the Smart App Creator mathematics learning media for class V elementary school fractions. The type of research used is Research and Development (RnD), which researchers have modified into 7 stages, namely: searching for potential and problems, data collection, product design, design validation, design revision, product testing, and product revision. In the research instrument, the researcher used a questionnaire, with test respondents on 2 class V teachers and 11 class V students. Data analysis techniques in this research used qualitative and quantitative. The results of the research developed by Android-based media applications in mathematics learning material for fractions in class V elementary school using Smart App Creator are in terms of material experts the percentage is 85.83% with a decent level of validity, in terms of media experts the percentage is 88.67% with a decent level of validity, in terms of linguist percentage 78.67% with a decent level of validity. In the media readability questionnaire, students got a percentage of 92.5% with a very decent level of validity.

Software Modeling is a scientific discipline for studying forms of software modeling that are used as part of the software development stages in a structured and object-oriented manner. This software engineering modeling is presented in Requirements Analysis and described using the Unified Modeling Language (UML) method. UML (Unified Modeling Language) is a visual modeling method used as a means of designing object-oriented systems. UML diagrams that are often used are Use Case Diagrams, Activity Diagrams, Sequence Diagrams, Class Diagrams, Statemachine Diagrams and Component Diagrams. There are several applications that support UML creation, one of which is Draw.io. Draw.io is a website specifically designed for depicting UML diagrams online. It has a very responsive display and is integrated with Google's file storage service, namely Google Drive, so draw.io is an alternative for creating UML diagrams in a shorter time. On this basis, in the Community Service (PkM) program activities on this occasion, UML creation activities were carried out using the draw.io application and assistance in using UML in analyzing needs is one of the right solutions for solving problems in order to expand knowledge, simplify and improve the quality of education. and will overcome problems, time and socio-economic

This research aims to improve the effectiveness of lung cancer classification performance using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis Function (RBF) kernels in SVM helps deal with non-linear problems. At the same time, hyperparameter tuning is done through Random Grid Search to find the best combination of parameters. Where the best parameter settings are C = 10, Gamma = 10, Probability = True. Test results show that the tuned SVM improves accuracy, precision, specificity, and F1 score significantly. However, there was a slight decrease in recall, namely 0.02. Even though recall is one of the most important measuring tools in disease classification, especially in imbalanced datasets, specificity also plays a vital role in avoiding misidentifying negative cases. Without hyperparameter tuning, the specificity results are so poor that considering both becomes very important. Overall, the best performance obtained by the proposed method is 0.99 for accuracy, 1.00 for precision, 0.98 for recall, 0.99 for f1-score, and 1.00 for specificity. This research confirms the potential of tuned SVMs in addressing complex data classification challenges and offers important insights for medical diagnostic applications.

The marketing process in Islamic economics must be implemented correctly, and in accordance with sharia principles. In distributing products, it must be evenly distributed so that all people can enjoy the product. This research is about e-marketing analysis in increasing sales on shopping applications. The purpose of this research is to find out how marketing strategies increase sales on the Belanjo application. This type of research is descriptive qualitative with primary and secondary data types. The data collection technique in this research uses observation, interview and documentation techniques.The research results show the marketing mix strategy implemented by Belanjo to increase sales, including product availability, price, promotion and place. Supporting and inhibiting factors for the marketing mix strategy implemented by Belanjo in increasing sales, including supporting, conducting socialization and collaboration and increasing employee skills and knowledge. obstacles, low consumer buying interest and the marketing area for chips is still limited. Marketing mix strategies viewed from an Islamic Economics Perspective include: Always decorating charity with the intention of worship and sincerity. Transparency, and the goods are halal and not harmful. Carrying out honest distribution methods, not reducing size, standards, quality and scales fraudulently. Being responsible for the goods received. distributed fairly, and not doing things that are prohibited in Islam. Please help, tolerate and give alms. Never neglect worship because of distribution activities. Ikhtikar is prohibited because it will cause price increases. Seek reasonable profits. Widespread distribution of wealth. Social equality. 

The study aimed to evaluate how effectively the Educandy Studio Application works to improve grammatical knowledge of senior high school students, particularly focusing on the simple past tense within the context of Narrative Text. Employing a pre-experimental one-group pre-test and post-test design, the impact of the application on the grammar achievement of tenth-grade pupils at SMAN 1 Kesamben Blitar in classes X–H was examined. The research procedure consisted of pre-tests, application of the treatment, and post-tests, with data gathered through test administration. A trial test was conducted to ensure validity and reliability. Results revealed a significant enhancement in students' grammar proficiency in narrative text, with scores rising from 71.87 in the pre-test to 81.90 once the Educandy Studio program was put into use. The statistical examination employing paired sampled T-tests verified a substantial variance between the data collected before and after the intervention (Level of significance < 0.05). These results imply that the implementation of Educandy Studio successfully improved grammar attainment within the narrative text at SMAN 1 Kesamben Blitar. The study recommends integrating the Educandy Studio Application into English teaching, encouraging students to explore its use across subjects. Subsequent studies ought to investigate the feedback from students and teachers and conduct comparisons with similar applications to ascertain the most appropriate resources for improving grammar proficiency in English classrooms.  

PT XYZ, a building construction and design company in Palembang. The number of employees in this company is 30 employees with project, finance, marketing and also human resources (HR) divisions. PT XYZ has a need to improve the efficiency of human resource management. In the current condition, the company still relies on manual processes for recruitment, attendance, layoff data management, and employee leave applications. This Personnel Information System uses the Rational Unified Process (RUP) method as a system development method. System development uses the Laravel framework, PHP, CSS, HTML programming languages. In the analysis stage using PIECES and Usecase Diagram. System development uses two main approaches, namely using the FlutterFlow low-code platform and the Laravel Framework. The final result obtained is the implementation of a web-based Personnel Information System at PT XYZ. The implementation of this system makes a significant contribution in improving the efficiency and accessibility of staffing data at PT XYZ.

This paper introduces a hybrid optimization approach that combines genetic algorithms with gradient descent for effective nonlinear function approximation in highdimensional data. Traditional methods struggle with computational efficiency and accuracy in such complex spaces. By integrating genetic algorithms to provide a global search strategy with gradient descent for finetuning, the proposed method achieves faster convergence and improved accuracy. Simulations and case studies demonstrate its effectiveness in applications like data mining, image recognition, and financial modeling.

This paper compares various machine learning models in their ability to predict financial trends, with a focus on time-series analysis. We evaluate models such as linear regression, decision trees, support vector machines, and deep learning, measuring their performance based on accuracy, computational cost, and interpretability. Our results reveal that deep learning models offer superior accuracy but are less interpretable, while simpler models, though less accurate, provide better insight into the underlying data. This research provides guidelines for selecting suitable models based on specific financial applications.

This paper presents a numerical solution approach for solving partial differential equations (PDEs) that describe heat transfer in composite materials. Using finite element analysis (FEA), we analyze temperature distribution and thermal gradients within various composite configurations. The results demonstrate that our numerical solution approach accurately predicts temperature behavior, providing insights for materials engineering and design. This method is particularly useful for optimizing thermal properties in engineering applications involving multilayer materials.

The development of information technology in the form of social media has experienced tremendous progress throughout the world. This development has an impact on changes in social behavior. Social behavior is defined as individual behavior in relation to society, or among members of society in the context of how they communicate between its members. The use of YouTube, Facebook, blogging, WhatsApp and Twitter for learning purposes by creating groups based on certain interests to hold discussions is very widespread in society. As a result of the very rapid development of social media, social behavior patterns have changed, which has gradually led to the integration of social media applications in various types of learning and learning activities. In fact, overall it can be said that this change is a change in the education system which covers all components    

News about the failure of Light Steel construction, for example the roof structure of Light Steel collapsing, makes people hesitate to use it. This is of concern to the HAPI association (Indonesian Applicators Association) because construction failures can be caused by many factors. The purpose of this service is to help people get to know more about Light Steel materials, their advantages and disadvantages, how to apply them, and how to find out the volume of material requirements using roof calculator application so they don't suffer losses when using them. The target of this service is the community, especially around Wonoplumbon Village, Mijen District, where many of the residents are construction workers, and need knowledge of Light Steel applications to improve work competence in the world of construction. The methods used are lectures, questions and answers, and hands-on practice on how to cut, join, install screws, make roof trusses, and make sills with Light Steel materials. After this activity it is hoped that the community will understand more in theory and practice about Light Steel materials.

The DPD RI Inspectorate is tasked with overseeing the implementation of government affairs. However, there are several problems in the DPD RI Inspectorate such as the limited number of auditors, suboptimal budget, and low transparency in managing audit reports. The purpose of this study is to analyze the performance of the Inspectorate in the supervisory function at the General Secretariat of DPD RI. The research method used is descriptive with qualitative analysis. Data was collected through interviews, documentation, and observation. This research uses Agus Dwiyanto's theory (2006: 50) as follows: 1) Productivity, 2) Service quality, 3) Responsiveness, 4) Responsibility, 5) Accountability. The results showed that the performance of the Inspectorate was quite good in general, although not optimal due to constraints such as insufficient human resources and insufficient budget. The suggestion of this research is to increase the number of human resources and conduct socialization about applications that can be used by the Inspectorate..

Libraries are part of the learning resources that every school and college must have. Because students easily search for information or knowledge through the library. This community service aims to socialize Information Management at the SMA Negeri 7 Binjai Library through the Use of Website-Based Applications. This community service method uses a socialization approach to students, female students, and teachers of SMA Negeri 7 Binjai. The results of this study explain that a library is an organization tasked with collecting information, processing, presenting, and serving the information needs of library users. The existence of this web-based library is very helpful for students, students, and teachers in obtaining information more quickly and helping the work of librarians in managing libraries that will be with tens of thousands to hundreds of thousands, even millions of collections, with services covering the school community (students, education staff, and the wider community), so it needs to be supported by an automation system that is futuristic (has a forward reach), so that it can always maintain excellent service.

The development of digital technology has brought significant changes in philanthropy practices, one of which is through the implementation of online fundraising (crowdfunding). This study aims to analyze the effectiveness of implementing fundraising features in the Dompet Dhuafa application as one of the institution's efforts to utilize technological advancements to support philanthropic activities. Using a qualitative approach and literature review, this study examines the factors that influence the success of fundraising through mobile applications, such as trust, ease of use, and perceived usefulness. In addition, other aspects such as interface design, application features, and promotional strategies are also considered in this analysis. The results of the study show that the implementation of fundraising features in the Dompet Dhuafa application has the potential to be an effective means of collecting donations from the wider community, with the caveat that the institution must pay attention to key factors such as transparency, ease of use, and providing clear information about the impact and benefits of donations. The effectiveness of implementing these features can be measured by an increase in the number of donors, the amount of donations collected, and the level of community participation in programs run by Dompet Dhuafa.

The ability to use image applications with accuracy, fluency and good and correct understanding is a challenge for students in forming new knowledge. There are still many students who do not master the skills of taking pictures of their surroundings in the Arloopa Application. Therefore, this research aims to evaluate the application of image media techniques to the skill of taking pictures of surrounding objects. This research is descriptive qualitative research. This research was carried out in three cycles, each consisting of two face-to-face learning cycles. The data analysis techniques used were descriptive qualitative and quantitative analysis. The results of the research show that students in cycles I, II and III have average scores which indicate that the application of image media techniques can improve their ability to use image media applications. It was concluded that the application of effective image media can increase the ability to take pictures of surrounding objects so that they become spatial shapes. Image media can facilitate students in learning English Mathematics.

Developing information systems for the public interest is a necessity for an organization. The success of an organization can be determined by seeing whether the planned objectives have been achieved, each plan needs to be implemented with efficient procedures. These government tasks are closely related to management information systems, because management information systems are applications that improve government performance and are expected to help decision making, information provision, and operational procedures. One of the efforts to create a reliable management information system is by implementing the Regional Goods Management Information System Application (SIMBADA). This study aims to analyze the minutes of handover still done manually and not systemized. This research uses qualitative research methods with a descriptive approach. The results of this study indicate that there are negative and positive impacts related to the use of the SIMBADA application as well as constraints in the application that there is no category of handover minutes, so that the input process is still done manually. Where it is not efficient, it can cause data errors that can affect the performance of related work.

This research explores the role of Maqāṣid al-Sharīʿah in modern governance systems, focusing on its application to contemporary issues in Muslim-majority societies. The study examines the challenges posed by traditional Islamic jurisprudence and its rigidity in addressing evolving social, political, and economic conditions. Specifically, it aims to assess how Maqāṣid al-Sharīʿah can enhance governance by promoting justice, public welfare, and the protection of rights, as well as offering an adaptable framework for legal reforms. The research employs a comparative literature review and thematic analysis, examining classical and contemporary texts to identify key themes related to the integration of Maqāṣid into governance. The main findings suggest that Maqāṣid al-Sharīʿah provides a more flexible and responsive legal framework compared to traditional textual fiqh, especially in the context of modern governance challenges such as human rights, social justice, and public welfare. The study concludes that integrating Maqāṣid principles into contemporary Islamic governance can lead to more equitable and effective systems, enhancing social cohesion, economic stability, and the protection of human rights. Future research could explore specific case studies of Maqāṣid implementation in various governance contexts to further understand its practical applications.