The development of intelligent multimedia technology has had a significant impact on various sectors, especially in education, social, and cultural fields. This article discusses the latest trends in the use of intelligent multimedia and related technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Virtual Reality (VR), which have transformed the way we learn and interact with the world around us. In the context of education, intelligent multimedia enables a more personalized and adaptive approach to students' needs, enhancing educational accessibility, and reducing the educational gap between urban and rural areas. This technology also contributes greatly to creating a more interactive and engaging learning environment. On the other hand, the use of intelligent multimedia in social and cultural fields opens up opportunities to enrich local identities in the face of globalization, by incorporating traditional cultural elements into technology-based product designs. However, despite its many benefits, the implementation of intelligent multimedia technologies faces various challenges, such as infrastructure issues, limited budgets, and resistance from some educators who are not yet familiar with new technologies. Therefore, it is essential to ensure adequate digital literacy so that future generations can fully utilize this technology responsibly. In conclusion, intelligent multimedia has great potential to improve the quality of life, but its application must be carried out wisely, taking into account long-term impacts on society and culture.

Vertical Aquaponics System for Optimal Space Management Overview Due to rapid urban development, less land available for agriculture. Vertical aquaponics systems offer innovative solutions to overcome these problems. This research aims to design and develop a vertical aquaponic system that is efficient and effective in utilizing limited urban space. This system combines fish farming and plant cultivation simultaneously in a closed system. The nutrient-rich water from the fish pond is flowed into the plant substrate in a circular process. The vertical design of the system allows for high productivity in very limited areas. . The results of the study aim to contribute to the development of sustainable urban agriculture and increase food availability in urban areas.  Overview Due to rapid urban development, less and less land is available for agricultural activities. Vertical aquaponics systems offer innovative solutions to overcome these problems. This research aims to design and develop a vertical aquaponics system that efficiently and effectively utilizes limited space in the city. This system combines fish farming and plant cultivation simultaneously in a closed system. Nutrient-rich water from fish ponds is flowed into the plant growth substrate. The results of this research are expected to contribute to the development of sustainable urban agriculture and increase food availability in urban areas.

The application of Virtual Reality (VR) based on the Metaverse in education is an innovation that can enhance the quality of learning by providing a more interactive and immersive learning experience. This article discusses the development of VR-based learning integrated with the Metaverse using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). Through the stages of analysis, design, development, implementation, and evaluation, VR and Metaverse-based learning can be tailored to students' needs, creating a more flexible and collaborative learning experience. The use of this technology allows students to learn independently or in groups, while improving practical skills and creativity. This study shows that by applying the ADDIE model, VR and Metaverse-based learning can be more effective in increasing student motivation and learning outcomes, addressing the challenges of education in the future.

Digitalization is the main pillar of change in various aspects of life, including education and social interaction. Balai Diklat Keagamaan Palembang has adopted digital transformation through the development of eL TV, a digital learning platform. This research aims to analyze the User Interface (UI) and User Experience (UX) on the eL TV website of the Palembang Religious Education and Training Center from an anthropological perspective using the Design Thinking method. This approach integrates aspects of culture, habits, and user behavior to create socially and contextually relevant designs. The research stages include Empathize through observations and interviews to understand user needs, Define to identify key problems, Ideate to generate creative solutions, Prototype to build an initial design that is responsive to local values, and Test to measure the effectiveness of the new design. This research concludes that an anthropological approach to UI/UX design through the Design Thinking method can increase user relevance and satisfaction with the eL TV website, while encouraging the use of technology that is more inclusive and oriented to the needs of local communities.
 

Efficient energy use in household appliances has become a primary concern as awareness of environmental sustainability grows. Smart electric stoves with automatic temperature control features offer an innovative solution to enhance energy efficiency while ensuring comfort and safety during use. This study aims to design and develop a smart electric stove system based on a microcontroller with automatic temperature control algorithms. The system employs temperature sensors to detect real-time temperature changes and a Proportional-Integral-Derivative (PID) algorithm to maintain stable temperatures as set by the user. A simple and intuitive user interface is designed to facilitate operation, while the automation feature allows the system to shut off the heating element independently when the temperature exceeds a safe threshold. Test results demonstrate that the designed system can reduce energy consumption by up to 25% compared to conventional electric stoves without automatic controls. Therefore, this research significantly contributes to the development of energy-efficient and safe smart kitchen appliances.

This study aims to analyze the effect of product quality on purchasing decisions on the Shopee application. With the increasing use of e-commerce platforms, understanding the factors that influence consumer satisfaction and decisions is very important. The method used in this study is a quantitative approach with a descriptive design. The study population consisted of Shopee users who had made purchases, with a sample of 300 respondents taken through a purposive sampling technique. Data were collected using a questionnaire consisting of questions about product quality, reviews, prices, and purchasing decisions. Data analysis was carried out using multiple regression to test the relationship between independent and dependent variables. The results showed that product quality had a positive and significant effect on purchasing decisions, with a T-statistics value of 6.154. In addition, the promotion variable also contributed significantly to purchasing decisions. These findings indicate that improving product quality can increase consumer purchasing interest and purchasing decisions on Shopee. This study suggests that Shopee focus on improving product quality and promotional strategies to attract more customers and increase user satisfaction.

This study aims to analyze data security in popular chat applications using network forensics methods. This method enables the collection and analysis of data from networks to detect and understand potential threats or security breaches. In this research, several chat applications are analyzed to identify vulnerabilities that unauthorized parties could exploit. The results of this study are expected to provide a better understanding of the steps that can be taken to enhance data security in chat applications.
 
 

Students reading interest is a crucial factor in enhancing the quality of education. However, the lack of structured data makes it challenging to identify specific patterns of reading interest. This study aims to implement a data mining method using the Naive Bayes algorithm to analyze students' reading interest at SMP Negeri 2 Palembang's library. The data used includes book borrowing history, types of books, and library visit frequency over one semester. The analysis results indicate that the Naive Bayes method achieves an accuracy rate of 80% in classifying reading interest based on predetermined categories. These findings are expected to assist the school in designing more effective literacy programs.
 

Startups in Indonesia are growing very quickly which has an impact on the economy in Indonesia. High public enthusiasm is proven by Indonesia being one of the 5 countries with the highest number of startups in the world. There are several startups with good financial valuations that can be said to be unicoms or even decacorns. In this process, capital cannot be separated from the strategies taken by the Company. One alternative funding is to carry out an Initial Public Offering (IPO) on the Indonesia Stock Exchange (BEI). Until 2022, the startup that has carried out an IPO is PT. Goto Gojek Tokopedia conducted a Strength, Weakness, Opportunity, Threats (SWOT) analysis on the two companies to analyze the company's business strategy model. Method used in this research is a descriptive qualitative method and a data collection process by conducting literature studies from accredited scientific publication and digital news sources.
 
 

The aim of this research is to analyze the influence of product quality offered through the Tokopedia application on consumer purchasing decisions. The method used is descriptive statistical analysis and linear regression testing with a quantitative approach. The research sample consisted of 110 respondents from active Tokopedia users, whose data was collected through an online survey. The research results show that product quality has a positive and significant effect on purchasing decisions. The average product quality score of respondents was 4.16, which shows consumer satisfaction with the products available. Factors such as durability, noise, and conformity to specifications are important indicators for exuding product quality. This research also shows that the features in the Tokopedia application help improve consumer perceptions of product quality. Therefore, in order for Tokopedia to remain competitive in the e-commerce market, its main focus is developing application functionality and improving product quality