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The Alpha generation is currently facing big challenges in balancing virtual activities and real life, where the high intensity of using devices often shifts priorities for worship, especially during the month of Ramadan. This dependence on digital screens triggers individualistic attitudes and reduces children's levels of religious participation. Therefore, this community service activity aims to increase the capacity of parents and children to implement time management and limit screen time effectively. The method used is a social marketing approach combined with participatory observation techniques, interactive visual promotions, and educational simulation games which were implemented in the Imaduddin Mosque Youth Hall, Medokan Ayu, Surabaya. The results of the activity showed a significant increase in understanding among children and parents regarding the importance of setting time limits for using devices. Generation Alpha children responded positively by enthusiastically setting their own daily priority scale between playing and worshiping without feeling forced. The implications of this activity include long-term changes to the social and spiritual dynamics of residents, the creation of a more harmonious family environment with minimal conflict related to confiscation of devices, as well as the revival of the function of mosques as centers of communal interaction for the younger generation. It is hoped that the independence of citizens in educating children will be able to build the foundation for a future generation that is digitally intelligent, mentally healthy and has a strong religious character.

Employee performance appraisal is a crucial aspect of human resource management and development, as the evaluation results serve as the basis for managerial decision-making, including promotions, incentives, and career development. However, unstructured assessment sistems often hinder the objectivity, transparency, and accuracy of performance evaluations. This study aims to design and develop a web-based Decision Support Sistem (DSS) to assess the performance of Biller employees at the ULP PLN Kuala office by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS was selected because it effectively addresses multi-criteria decision-making problems by comparing each alternative to both positive and negative ideal solutions. The evaluation criteria include invoice achievement, account return balance, and PAL balance. The sistem was developed using PHP as the programming language and MySQL as the database, ensuring integration and accessibility. The test results indicate that the sistem is capable of providing employee rankings in an objective and measurable manner. Based on the calculation, Tri Widodo achieved the highest score (0.8027), demonstrating the best performance among the evaluated employees. The implementation of this TOPSIS-based DSS makes the performance appraisal process more sistematic, efficient, transparent, and accurate, thereby contributing to the improvement of human resource management quality within the organization.  

Employee performance appraisal is an important process in human resource management that aims to evaluate individual work achievements based on certain criteria set by the organization. This process not only serves to assess the extent to which an employee meets work standards, but also serves as a basis for strategic decision-making, such as job promotions, bonus awards, and career development planning. However, in practice, CV. Surya Perkasa Makassar faces serious obstacles in the form of subjectivity in the assessment process, because the benchmarks used still tend to be based on the likes or dislikes of superiors. This causes the evaluation results to be less objective, inconsistent, and potentially reduce employee work motivation. To overcome these problems, this study aims to develop a decision support system for employee performance appraisal using the Tsukamoto Fuzzy Logic method. This method was chosen because it is able to accommodate uncertainty in the assessment, resulting in more objective, measurable, and consistent decisions. This study uses a Research and Development (R&D) approach with a Black Box Testing method to ensure system functionality. The assessment criteria used include five main aspects, namely work quality, work quantity, discipline, responsibility, and cooperation. Data from these criteria is processed through fuzzification, inference, and defuzzification stages to obtain the final employee performance score. Test results indicate that all system features function as expected. The system is able to prevent data duplication, validate input, and produce accurate final performance scores. The implementation of the Tsukamoto Fuzzy Logic method has proven effective in reducing the level of subjectivity that typically occurs in manual assessments. Therefore, this system can be used as a reliable tool in managerial decision-making, both regarding promotions, bonus awards, and planning employee future career development.  

The application of the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method in employee promotion decisions at PTPN 4 aims to enhance efficiency and objectivity in decision-making. This method allows managers to evaluate employees based on multiple criteria simultaneously, such as performance, experience, contributions, and other relevant factors. By considering these various aspects, MOORA helps make promotion decisions more transparent and fair. One of the primary advantages of applying the MOORA method is its ability to reduce bias that may occur during the promotion process. Bias can arise from subjectivity or imbalance in employee assessments, which are often based on individual judgments or personal perceptions. By using MOORA, promotion decisions are based on more objective and measurable data, making the process more systematic and structured. The MOORA method can also increase employee motivation. A transparent promotion process based on clear criteria provides employees with a strong incentive to continuously improve their performance. When employees know that promotions are based on fair evaluation, they are more motivated to work harder. This, in turn, will increase overall productivity and performance at PTPN 4. The implementation of MOORA at PTPN 4 also provides advantages in better human resource management. With the MOORA-based decision support system, managers can easily identify employees who have the best potential for promotion. This process involves several steps, such as data normalization, determining criteria weights, and calculating final values that reflect overall employee performance. The end result is the selection of employees who meet the qualifications and have outstanding performance for promotion, supporting the sustainable development of the organization.

This research aims to develop a recommendation system that can help retail business owners design more effective, data-driven promotional strategies. This system utilizes data mining techniques and the Apriori algorithm to extract association rules from consumer transaction data, thereby identifying more specific and accurate consumer purchasing patterns. Based on these patterns, the system can provide relevant promotional recommendations, such as product bundling, buy-one-get-one offers, or special discounts, which can attract consumer interest and increase sales. The system's implementation process is presented in the form of an interactive dashboard, which allows business owners to upload their transaction data, adjust analysis parameters, and visualize the promotional recommendation results in a way that is easier to understand and can be directly applied to their marketing strategies. This system not only provides well-structured promotional recommendations but also enables retail business owners to make more informed and efficient decisions in determining the type of promotion to implement, based on insights gained from analyzing their own transaction data. By utilizing this system, business owners can optimize their promotional strategies more efficiently and effectively, because they can quickly identify promotions that best suit consumer purchasing patterns. This can increase impulse sales, as relevant promotions will encourage consumers to purchase more products. Furthermore, this system shows great potential in increasing consumer engagement, as the promotions provided are more personalized and tailored to each consumer's preferences. Therefore, the implementation of this recommendation system has the potential to drive significant sales growth and help retail business owners achieve greater profits, as well as accelerate their business decision-making process. This system, ultimately, not only benefits business owners but also enhances the consumer shopping experience with promotions that are more tailored to their needs and preferences.

The Segitiga Motor website was developed using the Laravel framework with the SDLC Waterfall model approach to digitize the management of customer data and workshop services. The development process includes stages such as requirements analysis, system design, implementation, testing, and maintenance. Laravel was chosen for its ability to speed up development through reusable components and its organized and flexible structure. The website successfully integrates key features such as online service booking, customer data management, product catalog, and promotions, all effectively. Testing results show that the system works as planned, enhancing operational efficiency and making it easier for customers to access services. For future development, adding features like analytics and integration with digital payment systems could further improve customer experience and satisfaction.    

The process of accepting new students generates a lot of data in the form of profiles of students who register. From year to year there is an increase in the number of prospective new students who come from several areas in Binjai City, Langkat Regency and surrounding areas, so the location of the socialization of new student admissions promotions every year is increasing and wider. And from several schools that have been visited and are expected to provide new prospective students, in fact, it is not proportional to the final number of prospective students who register. In this study, applying the K-Means Clustering algorithm using 3 variables namely, region, school origin, major. In determining the location of new student admissions promotions, the promotion team first identifies what factors will influence the determination of promotional locations ranging from region, school origin and majors that are considered to be set as promotional locations. Based on the results of grouping new student admission data of STMIK Kaputama Binjai using the K-means Clustering method from 20 data that has been processed, 3 clusters and 3 iterations are produced where cluster 1 has 9 data, cluster 2 has 2 data and cluster 3 has 9 data.

With the advancement of technology, competition in the mid-to-low-end business sector has intensified. Both large businesses and Micro, Small and Medium Enterprises (MSMEs) are facing challenges and obstacles. On the other hand, MSMEs will have greater opportunities to market their products due to advances in information technology. When starting a business, branding communication is very important. Each individual has a different brand image. By using the right promotional strategy, effective branding communication can provide consumers with the opportunity to recognize certain goods and services, evaluate their quality, reduce purchase risks, and get different experiences and satisfaction. Every business field must have a strategy to increase sales. The right promotional strategy can communicate branding well. To achieve goals, every business sector needs a promotional strategy, especially for micro, small and medium enterprises (MSMEs). Promotion planning is carried out to improve services and sales by introducing products to potential customers and improving services by focusing on online-based promotions by utilizing social media and marketing through the marketplace. In a startup business, where the business has just started and continues to grow, business actors are considered necessary to continue to develop products and find the right target market. The purpose of this Community Service activity is to provide an assessment of branding and promotional communication strategies to increase customers for this startup business.      

Eighter Production is a home industry that acts as a clothing manufacturer that offers various kinds of clothing products. Eighter Production provides various categories of clothing with various materials and colors. In an effort to further expand its reach in reaching consumers, Eighter Production utilizes internet technology as a medium for information, promotions and transactions.

The aim of the results of implementing the data analyst capstone project in increasing visitors to Resort Hotels is to analyze the factors causing the decline in the number of visitors to Resort Hotels. The implementation of the data analyst capstone project to increase visitors at the Resort Hotel includes: identifying the main reasons for the decline in visitors, lack of general attraction or effective promotions, fluctuations in visitors every quarter, and imbalance between various visitor segments. Based on the results of the analysis, recommendations are provided to increase the number of visitors, such as re-evaluating the attractiveness of tourist destinations, adapting facilities and services to visitor needs, collaborating with other local businesses or events, and implementing membership or reward programs. Research methods include understanding business and data, data collection, data cleaning, exploratory data analysis, data visualization and making recommendations based on analysis results. It is hoped that the results of this implementation can help Resort Hotel managers in developing strategies to increase the number of visitors.