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This study examines the application of network models in daily life using a systematic literature review (SLR) method. Network models are mathematical approaches that aid in solving various optimization problems such as shortest routes, minimum spanning trees, and maximum flows. Findings reveal that the Floyd-Warshall and Dijkstra algorithms are applied for route navigation, Prim's algorithm for distribution efficiency, and the Edmonds-Karp algorithm for optimizing resource flows like water. This research highlights the significance of network models in enhancing operational efficiency, sustainability, and accessibility across various domains such as transportation, logistics, and resource management. With the integration of modern technology, network models hold significant potential for developing innovative solutions in everyday life.

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 structure of the Windows operating system plays an important role in supporting the operational performance of computers, especially in business environments and professional users. This system is designed with a modular and layered architecture, which includes various components such as Hardware Abstraction Layer (HAL), I/O device manager, virtual memory management, and an integrated security system. Windows also supports energy management and plug-and-play mechanisms, which improve power efficiency and hardware compatibility. This architectural approach allows Windows to optimize interactions between hardware and applications, supports multitasking, and provides an efficient user interface. Thus, the structure of the Windows operating system is able to significantly improve device performance, which leads to optimization of operational performance.

The use of interactive learning media is an innovative solution to improve the quality of learning, especially in the digital era. This study uses a qualitative method with a case study approach that focuses on elementary school students. The results of the study show that interactive learning media can improve students' understanding of the material, learning motivation, and active involvement in the learning process. With the integration of technology, such as the use of infocus and educational videos, students can learn in a more dynamic and interesting way. In addition, interactive learning also helps develop students' social skills and critical thinking skills. However, the implementation of this method faces challenges in the form of limited technological infrastructure, so additional support is needed for optimization.

Muslim tourists may take advantage of a variety of Muslim-friendly tourism options, including halal tourism. A growing number of nations are considering expanding their halal tourist offerings, thanks to the industry's meteoric rise since 2018. Among 130 countries, Indonesia topped the 2019 Global Muslim Travel Index as the top halal tourist destination. This success has encouraged Indonesia to increase its efforts in developing halal tourism, taking use of the country's vast potential in this area. Indonesia's advantage in halal tourism must be complemented by particular legislation implementations governing halal tourism to enable structured and orderly implementation. With appropriate regulations, it is hoped that the optimization of halal tourism may become more structured in terms of standards in the promising halal tourism sector, acting as a benchmark for other nations to adopt halal tourism practices. This study aimed to provide additional information on the importance of adopting legislative standards for enforcing halal tourism legislation in Indonesia. This study used normative methodology. In addition to the need for special regulations concerning halal tourism management, careful preparation in terms of adequate scientific and technological updates is required to ensure that halal tourism in Indonesia is well received in the global market. Moreover, there must be a regular control in updating halal tourism regulations in Indonesia between authorized institutions

Production planning is one of the most important factors in improving business continuity. The preparation of production planning is related to the optimization of production for a particular business so that the business can operate efficiently and production activities achieve competitive prices. The preparation of production planning must consider several factors because every business has different goals that it wants to achieve. The Goal Programming method aims to minimize deviations from the targets set by the business, so that business goals can be achieved optimally. This research aims to optimize production in a company that can accomplish more than one goal.  The method used in this study is Systematic Literature Review (SLR), and this study identifies 5 previous journals. The source of information used in this study is articles from national journals published between 2018-2024. The results of this study show that Goal Programming is a very effective tool in production and distribution planning in various industrial sectors.

In the era of globalization, Micro, Small, and Medium Enterprises (MSMEs) face increasingly complex challenges, especially in maintaining competitiveness in local and global markets. Digital marketing is one of the key strategies that can help MSMEs take advantage of technological developments to expand market reach, increase interaction with customers, and create a competitive advantage. This study aims to analyze the importance of implementing digital marketing strategies for MSMEs in increasing their competitiveness. The method used involves literature studies and case studies on MSMEs that have successfully implemented digital marketing strategies. The results of the study show that digital marketing strategies, such as the use of social media, search engine optimization (SEO), and data-driven marketing, are able to increase brand visibility, operational efficiency, and customer loyalty. Thus, digital marketing is not only a promotional tool, but also as an innovative solution to support the growth of MSMEs in the digital era. The adoption of this strategy requires adequate knowledge, skills, and technological adaptation so that MSMEs can survive and thrive in the midst of global competition.

This research aims to explore the role of soil microorganisms in improving soil fertility and agricultural productivity to support sustainable agriculture. Using the literature review method, various scientific literatures were analyzed to identify the potential, challenges, and optimization strategies of microorganism technology. Microorganisms such as Nitrobacter, Streptomyces sp. and Trichoderma sp. play significant roles in nitrogen cycling, organic matter decomposition and plant pathogen control. In addition to naturally improving soil nutrition, these microorganisms also support agricultural efficiency by reducing dependence on synthetic chemical fertilizers and pesticides.  However, the adoption of this technology faces obstacles, such as farmers' lack of knowledge and limited access to quality products. Therefore, strategic steps are needed in the form of training programs, extension, and policy development to support the implementation of microorganism-based technologies. In the context of climate change, microorganisms also contribute to greenhouse gas mitigation and increase crop tolerance to abiotic stress. The results of this study emphasize the importance of microorganisms as a sustainable solution to the challenges of modern agriculture, as well as the need for collaboration between various parties to increase the capacity of farmers in implementing this technology.   

The Cuckoo Search Algorithm (CSA), while effective in solving complex optimization problems, faces limitations in random population initialization and reliance on fixed parameters. Random initialization of the population often results in clustered solutions, resulting in uneven exploration of the search space and hindering effective global optimization. Furthermore, the use of fixed values for discovery rate and step size creates a trade-off between solution accuracy and convergence speed. To address these limitations, an Enhanced Cuckoo Search Algorithm (ECSA) is proposed. This algorithm utilizes the Sobol Sequence to generate a more uniformly distributed initial population and incorporates Cosine Annealing with Warm Restarts to dynamically adjust the parameters. The performance of the algorithms was evaluated on 13 benchmark functions (7 unimodal, 6 multimodal). Statistical analyses were conducted to determine the significance and consistency of the results. The ECSA outperforms the CSA in 11 out of 13 benchmark functions with a mean fitness improvement of 30% across all functions, achieving 35% for unimodal functions and 24% for multimodal functions. The enhanced algorithm demonstrated increased convergence efficiency, indicating its superiority to the CSA in solving a variety of optimization problems. The ECSA is subsequently applied to optimize earthquake evacuation space allocation in Intramuros, Manila.

This study discusses the Optimization of the Use of Islamic Religious Education Laboratories in the Practice of Student Worship at State Junior High Schools in Pangkajene District, Pangkep Regency. The main problem is how the Islamic Religious Education Laboratory can be optimized as a facility and infrastructure that supports the development and progress of Islamic Religious Education. The author uses a research approach with qualitative methods in data collection, as well as testing and analyzing data qualitatively. The research paradigm is constructivism; data sources are Principals, PAI Teachers, Students (primary data) and documents related to the management of the PAI Laboratory (secondary data); The research instrument is the researcher himself and is assisted through data collection tools, namely observation guidesheets, interview guidelines and document study guidelines; Data collection techniques are participation observation, in-depth interviews, and documentation; and testing the validity of the research results applying source triangulation and triangulation techniques. The research was carried out in four State Junior High Schools in Pangkajene District, Pangkep Regency. The results of the study showed that 1) The condition of PAI laboratories in the schools studied varied in terms of availability and quality of facilities. All schools have PAI laboratories, but there are gaps in infrastructure and equipment due to differences in budget allocation. 2) Laboratory use of PAI showed variation in intensity and effectiveness. Some schools have integrated the use of laboratories into the curriculum, while others still face challenges in optimization. 3) The practice of students' worship varies in the level of consistency and understanding. The majority of students have awareness of the importance of worship, but the level of practice varies. 4) Factors that affect the use of PAI laboratories include the availability of infrastructure, teacher competence, budget allocation, school management, student motivation, and education policies. This study recommends increasing budgets, developing teacher competencies, integrating curriculum, collaboration between schools, utilizing technology, and periodic evaluations to optimize the use of PAI laboratories and improve students' practice of worship.

Customer satisfaction is a crucial indicator in assessing the quality of a company's products, services and overall experience. This research aims to identify the level of customer satisfaction and optimize the available data for effective use in sentiment analysis. In this study, we analyzed 4,353 customer reviews collected over the past year, with 3,481 reviews used as training data and 871 reviews as testing data. The analysis process was conducted using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach and leveraged the Logistic Regression algorithm to build a predictive model. Model evaluation using the confusion matrix yielded an accuracy of 94.60%, a precision of 94.26%, and a recall of 94.60%. The analysis was conducted using Jupyter Notebook and the Python programming language. The results indicate that sentiment analysis is effective in identifying and predicting customer satisfaction levels, which in turn can help a company’s products improve its service strategies. The optimization of previously underutilized data now provides deeper insights into customer perceptions and expectations, enabling the company to make more targeted decisions and enhance overall customer satisfaction.

This study examines the effectiveness of organic fertilizers in improving the quality and yield of cucumber (Cucumis sativus L.) plants through a comprehensive literature study. A systematic review was conducted on recent scientific publications that discuss various types of organic fertilizers, including chicken manure, bokashi, organic liquid fertilizer, and eco-enzyme. The research method used a literature study approach by analyzing articles from 2020-2024, focusing on the effectiveness of organic fertilizers in increasing the growth and productivity of cucumber plants.The results showed that organic fertilizers do not merely provide nutrients, but transform as agents of soil ecosystem regeneration. Each type of organic fertilizer has a unique mechanism in influencing plant growth, including increased microbiological activity, optimization of soil structure, and stimulation of the root system. Variations in plant responses depend on genotype, fertilizer composition and environmental conditions. The research resulted in practical recommendations for sustainable organic fertilization strategies, emphasizing the importance of a precision and holistic approach in cucumber crop nutrient management. The findings make a significant contribution in the development of sustainable agriculture.

Digital marketing has become a critical element in promoting tourism destinations, particularly in attracting young tourists who are highly connected to technology. Sawarna Village in Lebak Regency, Banten, holds significant natural tourism potential, such as beaches and caves, but faces challenges in implementing promotional strategies that align with the digital behavior of the younger generation. This study employs a literature review method to analyze effective digital marketing strategies, focusing on social media, visual content, and influencer engagement. The analysis reveals that creative use of social media, a visual storytelling approach, and collaboration with micro-influencers can enhance the appeal of tourism destinations. Additionally, search engine optimization (SEO) and location-based marketing campaigns play a vital role in improving Sawarna Village's visibility on digital platforms. This study recommends digital skill training for the local community to support destination promotion and foster digital transformation in the rural tourism sector. These findings emphasize the importance of technology-driven marketing strategies to enhance the competitiveness of rural tourism destinations in Indonesia.

The main focus of this research is to examine data storage efficiency methods, algorithm scheduling, and resource usage optimization techniques. This research uses literature study methods and simulation experiments to analyze system performance. The research results show that storage management methods based on deduplication and data compression have significant efficiency in reducing storage space requirements. The implications of this research include improving cloud system performance and reducing operational costs.

Digitalization has become a transformative force reshaping how organizations innovate and sustain competitive advantages in an interconnected global economy. This study explores the intricate relationship between business digitalization, innovation capabilities, and sustainability outcomes. Employing a comprehensive literature review, it examines how digital transformation fosters innovative practices and supports sustainable business models. Key findings reveal that integrating digital technologies, such as artificial intelligence, IoT, and blockchain, significantly enhances innovation capacity by accelerating product development cycles, improving decision-making precision, and fostering collaborative innovation ecosystems. Moreover, digitalization optimizes resource utilization, minimizes environmental impact, and strengthens stakeholder engagement, contributing to measurable economic, environmental, and social sustainability outcomes. The synergy between digital transformation and sustainability initiatives provides organizations with strategic advantages, including improved operational efficiency, customer loyalty, and competitive positioning. However, challenges such as implementation barriers, balancing digital-sustainable priorities, and managing unintended environmental impacts persist. Future research should focus on empirical validation, industry-specific applications, and longitudinal studies to further elucidate the pathways through which digitalization supports sustainable innovation and long-term business resilience. This study underscores the imperative for organizations to strategically align digital transformation with sustainability objectives, ensuring their future success in a rapidly evolving business environment.