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.

This research uses a deep learning-based sentiment analysis approach with several main stages, namely data collection, preprocessing, model preparation, and model building. In addition, this research also evaluates the impact of data splitting techniques on the model's performance during the training process.The evaluation results show that the LSTM-GRU model achieved the best performance on the character aspect, with an F1-score of 0.72 in the 90:10 splitting scenario. Meanwhile, the lowest F1-score was found in the editing aspect, with a value of 0.51 in the 80:20 splitting scenario. These findings indicate that the model is more effective in recognizing sentiment in narrative aspects compared to technical aspects. Furthermore, the data splitting technique significantly influences model performance, both in determining accuracy levels and in optimizing the model's effectiveness in identifying sentiment patterns more accurately.

This literature review discusses the application of Agile methodology in modern software development. Agile offers a flexible, iterative approach that contrasts with traditional waterfall models. The objective of this study is to provide insights into how Agile frameworks such as Scrum, Kanban, and Extreme Programming have influenced development speed, software quality, and team collaboration. Methodologically, the study synthesizes findings from recent academic and industrial literature from the last five years. The results show that Agile enhances adaptability and customer satisfaction, although challenges remain in large-scale implementations.
 

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.
 
 

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.

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.
 

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.
 

Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings reveal that XGBoost model outperforms other models, achieving F2-score of 0.7897. Key influencing factors include deposit type, total number of special requests, and marketing segment. The results underscore the potential of predictive modeling in optimizing hotel revenue strategies by enabling proactive measures such as dynamic pricing, targeted customer engagement, and improved overbooking policies. This study contributes to the ongoing advancements in data-driven decision-making within the hospitality industry, offering insights into how machine learning can mitigate financial risks associated with booking cancellations.

Due to the variety of types of flowers that exist and having and tracking each variety, making plant lovers and cultivators difficult to distinguish in determining the type of flower, it takes a very long time to find out the type of flower if you only rely on the five senses. With the application of the K-Nearest Neighbor algorithm and feature extraction of color and texture, it is very helpful in image processing to identify flowers more easily and shorten the time, with the greatest accuracy of 71% using the K-7 value, the flower was successfully carried out.

The e-guestbook application is an application used to record and process guest data arriving at an institution. The quality of the e-guestbook application system needs to be measured to determine the level of quality and user satisfaction with the application. This study aims to analyze the quality measurement of the e-guestbook application using the Six Sigma method at the South Sumatra High Prosecutor's Office. The Six Sigma method was chosen because it can identify and measure Critical to Quality (CTQ), thereby improving the quality of the application. The research results show that the sigma value of the e-guestbook application is 4.16, which means the quality of the application is very good. However, there are several aspects that need improvement, namely the ease of use of the application, the accuracy of the information, and the availability of application features. The recommended improvements are enhancing the user interface, validating input data, and adding a report printing feature. The application of the Six Sigma method has proven effective in measuring and improving the quality of the e-guestbook application at the High Prosecutor's Office of South Sumatra

This study analyzes demographic data from regencies/cities in Central Kalimantan Province, including population, population growth rate, population percentage, population density per km², and sex ratio. The results of the analysis show significant differences between regencies/cities, with population growth rates ranging from 0.98% to 1.97% per year. The highest population density was recorded in East Barito, while Lamandau had the lowest density. The sex ratio tends to show a male dominance, with Lamandau having the highest ratio. These findings provide an overview of the challenges and opportunities in development planning, as well as the need to design policies that are in accordance with the demographic characteristics of each region. A deeper understanding of this data is expected to support more effective policies in population management and development in Central Kalimantan.

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.

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 Sumba Christian Church (GKS) Jemaat Makamenggit, located in East Sumba Regency, has a substantial number of congregants, including 425 members at the central Makamenggit church. Financial management activities, such as revenue from Children's Offerings (PA), Diakonia, and building funds, are still carried using notebooks and calculators. This method is not only time-consuming and also prone to recording errors and reduces transparency in financial reporting. This poses challenges in meeting regulatory requirements and maintaining the trust of the congregation and related stakeholders. In the current digital era, transparency and accuracy in financial reporting are essential needs. To address this challenge, a web-based information system which aims to speed up the process of calculating incoming and outgoing money and financial reporting. With this new system, the recording process, which typically takes 1-2 days, can be simplified to just 10-15 minutes. The use of a web-based system also provides real-time access to financial data for various stakeholders, such as church administrators, congregation councils, and supervisory bodies, regardless of geographical constraints. The proposed system will enable the church treasurer to manage church finances more efficiently, reduce reporting time, and meet applicable regulatory demands.In an effort to speed up the financial calculation process at GKS Makamenggit, this financial information system was developed using the waterfall method. It is hoped that the results of this research will help financial treasurers to manage incoming and outgoing finances and with this system, financial reporting will be more transparent and efficient.

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.
 
 

This study explores the application of machine learning algorithms, specifically Linear Regression and Decision Tree Regressor, for predicting student academic performance using academic grade data from Kaggle. The analyzed factors include attendance, assignment grades, midterm exam grades, and final exam grades. The research methodology encompasses data collection, preprocessing, model development, training, and validation. This study contributes to the field of educational data analytics by demonstrating how machine learning can provide actionable insights into students' learning patterns and academic outcomes. The findings emphasize the effectiveness of Linear Regression for linearly distributed data and Decision Tree Regressor for capturing complex, non-linear relationships. The implications of this research suggest that machine learning models can assist educators in identifying key factors influencing student performance, enabling targeted interventions to enhance learning outcomes. Future research should explore larger, more diverse datasets and incorporate ensemble methods, such as Random Forest or Gradient Boosting, to improve model generalization and prediction accuracy. Additionally, integrating socio-economic and psychological factors could provide a more holistic perspective on academic achievement.

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

In the current era of globalization and technology, computers, RFID are examples of information technology tools that are indispensable for meeting human needs in almost every aspect of life, including the management of infrastructure and equipment lending.According to direct research at Widya Praja Ungaran Vocational School, there are only two workers who handle facilities and infrastructure. In carrying out their work assignments, they still experience difficulties. Excess workload and the process of borrowing tools that still lacks a sense of responsibility, so that the results of the work are not maximized.The existence of increasingly sophisticated technology, the management of infrastructure and equipment lending can be done with the help of technological tools that will be implemented in this school. This research aims to make it easier to administer, because this school has not yet added a new workforce.This research can be designed with the help of software (Bootstrap, MySql), programming (PHP, Arduino IDE) and equipment (NodeMCU ESP8266, RFID, LCD, I2C, buzzer, power supply, breadboard, jumper cables, resistors, LEDs) to provide data information. more accurate, effective, efficient and provide a good working atmosphere in this school. It is hoped that this research can reduce work overload and create a sense of responsibility in borrowing equipment, using local networks (wifi / handphone) and computers or laptops, with the research method used is research and development (R&D).

This research aims to design a web server-based heart rate monitoring system, which enables real-time heart rate monitoring from a remote location. The system utilizes a heart rate sensor connected to a microcontroller to measure and transmit heart rate data to a web server via an internet connection. The data obtained can be accessed directly by the user through a web-based interface, thus facilitating the monitoring of individual health conditions in an efficient manner. In addition, the system is equipped with a notification feature that alerts the user if any irregularities in the heart rate are detected, such as beating too fast or slow. As such, the system has the potential to increase alertness and speed up medical action if needed. The development of this system shows significant potential in supporting technology-based health applications, both for personal use and in a broader healthcare context. It is hoped that the system can contribute towards the development of more integrated and accessible health monitoring solutions.
 
 
 

Computer vision technology has advanced rapidly and made significant contributions across various fields, including object identification in images. This study aims to develop a computer vision-based system to identify fruit types from images. A machine learning model is applied using a dataset of fruit images to train the system for accurate fruit recognition. The primary processes include data acquisition, image preprocessing, feature extraction, model training, and performance evaluation. The results demonstrate a high level of accuracy in identifying specific fruit types, showcasing the potential of this technology in agricultural and commercial applications.

The rapid advancement of technology in the field of education has provided numerous opportunities to enhance the learning experience. This study focuses on the development of an Android-based learning media for introducing rare plants, specifically designed for elementary school students. The application utilizes Unity 3D to create an engaging and interactive learning environment. By integrating English language learning with botany education, the application aims to enrich students' knowledge about rare plants while simultaneously improving their English language skills. This phase is followed by the design and development stages, where Unity 3D is used to create 3D models and interactive features. The application is designed to provide an interactive and enjoyable learning experience for elementary school students to explore rare plants. By using the Android platform and Unity 3D technology, the application allows students to discover various plant names in English. Results from a trial with 20 respondents on the Android-based learning media for introducing rare plants showed that 49.35% strongly agreed, 49.25% agreed, 1.37% were unsure, 0% disagreed, and 0% strongly disagreed.

This research focuses on designing and simulating a makeup robot control system with a Human-Robot Interaction (HRI) approach. The main goal is to develop a robot that is not only efficient in applying makeup, but also able to interact directly with users. The design of this robot is designed with attention to anthropomorphism and non-verbal interaction, in order to improve user comfort and experience during the use process. This control system leverages cutting-edge sensor technology, such as facial recognition and expression analysis, to detect user emotions and adjust the robot's response in real-time. The simulation process is carried out using the Robot Operating System (ROS) to develop an algorithm that supports task coordination between robots and humans as well as interactive feedback. The results of the simulation show that the robot is able to recognize the user's emotions and adjust their actions, thus creating a more intuitive and responsive interaction experience. This research has made a significant contribution to the development of robotics technology in the field of beauty, thereby improving the user experience in personal care. The findings also pave the way for further research into more complex human-robot interactions that are responsive to individual needs.

This study aims to analyze the level of satisfaction with the use of the tax e-Faktur application in the tax reporting process at PT Anugerah Texindotama. The e-Faktur application is a technological innovation that facilitates electronic tax reporting, which is expected to increase compliance and efficiency in the tax administration process. This research method includes observation, interviews, and distributing questionnaires to 43 respondents who are directly related to the use of the application. Based on the results of the study, it was found that the use of the e- Faktur application has had a positive influence on user satisfaction, with an average satisfaction level of 80.83%, which is categorized as good. Several advantages of the application, such as minimizing the risk of errors and ease of access, also increase user acceptance. However, there are technical constraints that need to be improved to support system optimization. Recommendations for improvement focus on enhancing features and technical training for employees to strengthen the implementation of the e-Faktur application in corporate tax reporting.

Human resources are a company's most dominant asset, because they can play an important role in the company's business development. An outsourcing company is a legal entity and is obliged to comply with business licenses issued by the Central Government. The eligibility process for new employees is supported based on the level of ability and competency determined by the company. The existence of difficulties for companies in determining the eligibility of new employees which makes the reason for the ineffectiveness of the processes carried out by the company at this time, is used as a goal for the authors for the purposes of a study. By using the classification method in a data mining with the C4.5 algorithm (Decision Tree) and a RapidMiner application as a tool in the analysis process carried out to find a factor supporting the process of a new employee eligibility. With the data of 960 applicants used as a sample, this data was taken from 2021-2022. From the data divided into several attributes used, the highest Gain value obtained from these attributes through the results of Test 2 of 0.417152421 which will be used as the root in the process of determining employee eligibility and has the highest accuracy value of 98.44%.

In the animation industry, the effectiveness of user interface (UI) and user experience (UX) design in image processing software is crucial for enhancing user comfort and productivity. This study aims to evaluate the UI/UX design in software belonging to the Adobe family, such as Photoshop, Illustrator, and After Effects. The employed methodology is Design Thinking, which includes the steps of Empathize, Define, Ideate, Prototype, and Test, to analyze each aspect of UI/UX design. Data were gathered through surveys and interviews with industry professionals to understand their experiences and perspectives. Preliminary results indicate that while Adobe applications are generally satisfactory, some software like After Effects and Illustrator require specific adjustments to the workspace menu to better meet user needs. These findings highlight areas needing improvement in image processing software to enhance user comfort and work efficiency. This research is expected to contribute to the development of more user-centered software, thereby improving user experience quality in the animation.

This study explores the implementation of Task-Based Language Learning (TBLL) in developing an Android-based application to enhance English language proficiency. TBLL was chosen for its focus on real-world language usage, enabling users to practice English skills through practical tasks. The application is developed using the Flutter framework, which supports cross-platform functionality, providing ease of access for users. The study measures the improvement in English language proficiency without relying on surveys for data collection; instead, it uses performance data from users' in-app activities. The findings are expected to demonstrate that integrating TBLL into a digital platform can effectively enhance English proficiency, especially in practical communication skills. This Android-based application implementation is envisioned as an innovative solution for flexible and efficient language learning.

The manual registration information system for incoming students is still commonly used by certain universities and colleges in Indonesia. However, the challenge lies in the fact that many potential students, especially those living outside urban areas, face difficulties with manual procedures and indeed many colleges still need a more efficient and effective information system to facilitate ownership of exam participant cards. The purpose of this study is to design a new student admissions website using PHP and MySQL to facilitate online registrants in ownership of exam participant cards. The methodology used in this study involves a system development research procedure, specifically focusing on creating a web-based system for new student admissions information that can be accessed via a web browser. The system for new student admissions information was developed using the PHP programming language and utilizing the MySQL database as a database server. The results of the design of this new student admissions website show that the newly implemented web-based student admissions system is able to offer convenience to prospective students in accessing broad information about the admissions process, as well as completing registration procedures, making online payments, and issuing exam participant cards. Hopefully this system will continue to be developed and can be applied in every college.

Motivation has an important role in the teaching and learning process for both teachers and students. For teachers, knowing students' learning motivation is very necessary. maintain and increase students' enthusiasm for learning. For students, learning motivation can foster enthusiasm for learning so that students are encouraged to carry out learning actions. Students carry out learning activities happily because they are driven by motivation. Currently, many students are less motivated to study. Backpropagation is a supervised learning algorithm and is usually used by perceptrons with many layers to change the weights connected to neurons in the hidden layer. Based on the learning rate and maximum epoch values, artificial neural networks using the backpropagation method can predict the level of student learning motivation with convergent results or the target error is achieved with an epoch of 11 iterations and a training process time (time) of 0.00.08 seconds. From the student learning motivation criteria data which is used as training data, the training targets can be identified. Yes and no input which is transformed into 0 and 1 can predict the level of student learning motivation with low, medium and high student motivation targets with reslt testing 80%.

The function of artificial intelligence (AI) in creating a positive consumer experience on the Shopee e-commerce platform is covered in this study. Nowadays, artificial intelligence (AI) plays a significant role in the e-commerce sector, allowing businesses to offer more individualized, quick, and safe services. This study examines how Shopee customer satisfaction and loyalty are impacted by the use of AI technologies, including chatbots, tailored product suggestions, fraud detection, and inventory management. This study found that AI plays a significant role in making shopping more responsive and convenient by analyzing data on the use of chatbot services, the efficacy of personalized recommendations, the accuracy of predicting customer needs, transaction security, and the efficiency of logistics management. According to the study's findings, implementing AI technology reduced service response times by up to 20% and increased customer satisfaction by 15%. In addition to enhancing service quality, the use of AI increases Shopee customer loyalty. These results demonstrate how AI in e-commerce holds enormous promise for fostering startup expansion and enhancing client connections.

Archiving is nothing new for agencies. The movement of documents and other documents in and out of government agencies certainly requires filing. The storage carried out at the Samarinda City Regional Civil Service Agency Office has not been fully effective for the existing archives, because some of the archives carried out are still done manually. As a result, archives can easily be lost before archiving or data management is done, often requiring manual intervention. Storage usage causes errors in storing data and retrieving data. This website-based archive system is indispensable, this is because it can be used to make changes to data, such as reducing the amount of paper used and changing the way data is stored (going paperless). This archive website system was created using the Vscode application. Where the Programming Language used is PHP and SQL, with Xampp used for web server operations and SQL for database management, by sending letters paperlessly will minimize errors that have occurred so far. While the software development method or system design uses the Waterfall method. Waterfall methodology is a type of application development model that is integrated into the classic life cycle. The purpose of making this website is to create a website system that processes email archive data in an easy-to-use way.

Security of electronic medical records (EMR) data is very important in maintaining the confidentiality, integrity, and availability of sensitive patient information. This study aims to conduct a security analysis of the EMR application used at UPTD RSD Besemah Pagar Alam City using the Penetration Testing method. This method is carried out to identify, exploit, and provide solutions to potential vulnerabilities in the EMR application system. Penetration Testing is carried out through several stages, namely information collection, scanning, exploitation, and post-exploitation, using tools such as Nmap, and OWASP ZAP. The results of the study showed several vulnerabilities in the application, including SQL Injection, Cross-Site Scripting (XSS), and weaknesses in authentication management that could allow unauthorized access to patient data. In addition, exposure to sensitive data that was not properly protected was also found. Based on the results of this test, several recommendations were made to improve system security, such as updating security patches, implementing encryption on all sensitive data. By implementing the recommended mitigation steps, the security of the EMR system at UPTD RSD Besemah is expected to be significantly improved, so that the risk of data leakage can be minimized. This research provides a real contribution in strengthening the security of electronic medical record applications. and is expected to be a reference in improving security systems in other health care institutions.
 
 

This study aims to design and develop an automatic solar tracker system based on the Internet of Things (IoT) to enhance the efficiency of energy collection in solar panels. The system utilizes key components such as the ESP32 microcontroller, LDR sensors, servo motors, and the Blynk platform to monitor performance in real-time. The solar tracker is designed to follow the movement of the sun, ensuring that the solar panels are always positioned optimally to receive sunlight throughout the day. Testing indicates that this system improves solar energy absorption efficiency compared to static solar panel systems. Furthermore, the integration of IoT allows for more effective and efficient remote control and monitoring. Thus, this technology not only offers improvements in energy efficiency but also provides a practical solution for better and more sustainable solar energy management.

Advances in information technology have become a major influence on society in meeting needs, quality and convenience. One example of technological progress is online sales. E-commerce or online shops can make it easier for people to shop with time efficiency, accuracy and quality and can make it easier for the shop to sell because it can promote the products it sells more widely and get maximum profits. This research focuses on designing the UI/UX for cosmetic sales at beauty cosmetic stores. Researchers found problems in beauty cosmetic stores in that store management was still manual, only using social media as promotion without an online sales platform so that the income obtained from sales was not optimal. The method used in designing the UI/UX for selling cosmetics at this beauty cosmetic shop is using the prototype method. The results of this research are the UI/UX design for selling cosmetics at beauty cosmetic shops which can make it easier for beauty cosmetic shops to market their products. It is hoped that this learning media can increase people's interest in shopping at beauty cosmetic stores.

: Current technological developments that are increasing can have a positive impact on SMEs. At wholesale egg shops, they still use a manual cashier system with only being recorded in large books, so the service is less than optimal and less accurate. So it is not uncommon for customers to be disappointed in payment and refund services. By doing this research, it is hoped that it will be able to create a cashier system that runs at egg grocery stores that is able to increase cashier performance efficiency.

The creation of the website of MaQis Alhamidy 4 Islamic Boarding School aims to provide an effective means of information and promotion to support the Qismart self-service store managed by the pesantren. In today's digital era, the existence of a website is very important for organizations, including Islamic educational institutions such as Pondok Pesantren MaQis Alhamidy 4. This website is designed not only to convey information about pesantren activities and services, but also to promote the pesantren self-service which serves as one of the main sources of income. Website development is carried out through several stages, namely observation, identification, implementation, and evaluation. The KKN Inovasi Pesantren Group 02 team, consisting of 16 members, was directly involved in this process. In the observation stage, the team observed and recorded the phenomena that occurred in the pesantren. Problem identification was conducted through interviews with pesantren administrators to understand the needs and challenges faced, especially related to the self-service information and promotion system. The implementation stage involved information collection and assistance in using the website as an information medium. Evaluation was conducted to reflect on the process and results achieved. The results of this project show that the developed website successfully created an effective platform to introduce and promote Qismart Supermarket to the community. The website facilitates access to important information and strengthens the brandi.

This research focuses on the development of a simple system for detecting road slopes using the Otsu Thresholding method. The primary objective is to create an effective and efficient system capable of identifying different road slope levels accurately. The system utilizes image processing techniques, where the Otsu Thresholding method is applied to differentiate between road surfaces and surrounding environments. By analyzing these images, the system determines the degree of road slope. This study emphasizes the importance of accurate road slope detection for improving road safety and maintenance. The observation method was employed in this research to gather relevant data and evaluate the system's performance. The results demonstrate that the designed system is capable of effectively detecting various road slope levels, providing a valuable tool for transportation infrastructure monitoring.

In the rapid development of the food and beverage industry, overproduction and unsold food have led to a high amount of food waste, making Indonesia one of the largest food waste producers in the world. Data from the Central Bureau of Statistics (BPS) in 2021 shows that Indonesia produces 23-40 million tons of food waste annually, which negatively impacts the environment, natural resources, and the economy. This research aims to create a website that serves as a platform for selling leftover food to reduce food waste issues in Indonesia. The method used in designing this website is the Design Thinking method, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test. Data for this method is collected through surveys and interviews with respondents. By creating this website, it is hoped to connect food business operators, such as restaurants, cafes, and bakeries, with consumers, allowing them to interact and providing an effective solution to reduce food waste in Indonesia. Additionally, it is expected that this website can minimize the waste of still-edible food for everyone. By ordering through this online platform, customers can get food at half the normal price.

The development of interactive education as learning in education generally has several influencing factors, such as teachers who teach experiencing difficulties in keeping up with developments in information technology, learning media support tools for teaching in institutions are still limited in their use, only a few teachers use information technology in learning media because they have the knowledge to apply it to the teaching process, then from the problems that occur, the objectives include this research, designing an application interface display concept as an innovation in the use of learning technology according to needs, then creating an augmented reality learning application about the solar system according to the design created, after knowing the objectives What will be carried out in this research is implementing the use of an augmented reality application for the solar system using the marker based tracking method, where there is 3D object scanning of each planetary object in the solar system, while testing the application on 50 students of SDN Kebon Jeruk 15 Pagi, both classes VI A and B uses the user acceptance model (UAT), from the explanation explained if it is analyzed it produces an augmented reality application that has been created regarding the Android-based solar system so that it can be concluded that the testing process can be categorized as good or not in terms of AR applications and 3D object marker flashcards for students at school.

Online learning is widely used by various groups, especially in higher education/schools. Online learning has many benefits for students and lecturers due to its practical and flexible learning process. However, there are complaints in online learning, such as students having difficulty understanding the material shared by lecturers and the lack of interaction between lecturers and students, making the lessons monotonous and boring. Students also cannot review the targeted lecturers. Therefore, the Midori Clon application was created to address students' problems in online learning. The application design was developed using the Design Thinking method. The Midori Clon application offers several advantages, including a Live Video feature for more interactive sessions between students and lecturers, a Bot feature to summarize materials and translate languages, and a Lecturer Review feature to review the targeted lecturers. With these advanced features, it is expected that online learning issues can be resolved and online learning can meet the desired expectations.
 
 

Performance is a performance of the level of success that exists in employees based on the entire process that has been carried out in relation to certain activities during the period determined by the company, especially in the sales sector to achieve turnover for electrical and mechanical products offered to consumers so that further analysis is needed. To further determine the potential performance, use the SWOT method which has 4 parameters such as strengths, weaknesses, opportunities and threats. After carrying out a SWOT analysis, an evaluation of the previously known SWOT conclusions can be determined.

In the context of rapidly evolving mobile technology, memory management has become an important aspect that determines the efficiency and effectiveness of Android operating systems, particularly on mid- range smartphones. The objective of this research is to identify, analyze and develop memory management strategies that can improve the performance of the Android operating system on resource-constrained devices. Using an experimental approach, this study evaluates various memory management techniques, including the use of optimized caches, memory compression, and page replacement algorithms, to determine the most effective combination to improve system responsiveness and performance. The results show that the implementation of appropriate memory management strategies can significantly improve operating system performance and user experience while extending battery life. These findings provide valuable information for application developers and device manufacturers to optimize their products for mid-range smartphone competition.

The Windows operating system has become one of the main targets for cyber attackers because of its popularity among computer users. Therefore, developing an effective integrated security system is essential to protect the Windows operating system from various cyber threats. This journal discusses integrated security system development strategies that include the use of encryption technology, firewalls, malware scanning, system updates, and user awareness. Apart from that, this journal also discusses the implementation of an integrated security strategy to protect the Windows operating system from increasingly complex cyber attacks. The goal of this journal is to provide strategic guidance for IT security professionals and researchers in developing an effective integrated security system to protect the Windows operating system from ever-evolving cyber threats.

Furniture has high added value and significant global competitiveness, largely due to the diversity of natural raw materials available in Indonesia, such as wood, rattan, and bamboo, as well as distinctive and high-quality designs. This advantage is supported by the skills and competence of the available human resources, making Indonesian furniture superior to products from other countries. Product quality is a key element in winning market competition, as it impacts customer satisfaction and loyalty. Masnur Joglo, a furniture company located on Jl. Muara Karya, specializes in producing various types of furniture from high-quality woods such as super mahogany and red teak. However, the purchasing system, which requires customers to visit the store directly and manually record prices, results in inefficiencies in terms of time and transportation costs. Customers often need to visit multiple stores to find the desired product, which is an inefficient process. To address these challenges, this study proposes the development of an Android-based sales application as a solution. This application is designed to expand Masnur Joglo's market reach and facilitate online ordering of furniture products, anytime and anywhere. The study aims to design and develop an Android-based sales information system that can enhance operational efficiency and streamline the sales process while better meeting customer needs. The application development method employs the waterfall model and uses MySQL and Firebase databases.
 

Kucing adalah hewan peliharaan populer yang sering kali rentan terhadap berbagai penyakit. Ketidakmampuan pemilik untuk mendiagnosa penyakit kucing secara tepat waktu sering kali mengharuskan konsultasi dengan dokter hewan yang sebagian besar hanya tersedia di perkotaan. Penelitian ini bertujuan mengembangkan sistem pakar berbasis web menggunakan metode Forward Chaining dan Certainty Factor untuk membantu mendiagnosa penyakit pada kucing. Metodologi pengembangan sistem ini mencakup tahap persiapan, prototyping, dan penyelesaian. Pada tahap persiapan, masalah dirumuskan dan wawancara dengan dokter hewan dilakukan untuk membangun knowledge base. Tahap prototyping melibatkan pembuatan mesin inferensi dan knowledge base, sementara tahap penyelesaian meliputi implementasi sistem ke dalam antarmuka pengguna berbasis web menggunakan PHP dan framework Laravel. Hasil uji sistem menunjukkan konsistensi tinggi dengan hasil diagnosa manual menggunakan Excel. Sebagai contoh, diagnosa penyakit Virus Panleukopenia memiliki nilai certainty factor sebesar 94,62% pada aplikasi, sementara perhitungan manual menunjukkan 95,21%, dengan perbedaan hanya 0,41%. Hal ini menunjukkan bahwa sistem pakar yang dikembangkan mampu memberikan diagnosa yang cepat dan akurat. Kesimpulannya, sistem pakar berbasis web ini dapat diandalkan untuk mendiagnosa penyakit kucing dan membantu dokter hewan serta pemilik kucing melakukan diagnosa awal dengan lebih efisien.

Quality Management has been known since four thousand years ago, when the ancient Egyptians measured the dimensions of the stones used to build the pyramids. In modern times, quality management activities have developed through several activities, namely inspection, quality control, quality assurance, quality management and integrated quality management. The problem currently occurring at Bir Pletok Bang Udin UMKM in quality management is that they do not know the right composition to increase quality and do not know the standard level of factors used, so the author has carried out quality improvements in product manufacture. This research uses the DMAIC cycle (Define, Measure, Analyze, Improve and Control) with the Taguchi method for quality improvement. The aim of this research is to combine the DMAIC cycle with the Taguchi method to improve the taste quality of beer pletok drinks. The results of this research are that there is a significant change in the DPMO value and sigma value, before the DPMO improvement was 614.092 and the sigma value was 1.21, this value was relatively low, after the improvement the DPMO value became 32, this proves that the number of defects has decreased and the sigma value has increased to 5.50 This proves that there has been a large increase in process capability, so that the improve phase has proven to be very effective in improving quality and process capability.

This research aims to analyze the performance of various CPU scheduling algorithms in increasing the responsiveness of the Android operating system. Using algorithms such as First Come First Served (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), and Round Robin, this study evaluates the advantages and disadvantages of each in terms of average waiting time, throughput, and power consumption. Research methods include literature study, algorithm selection and implementation, as well as data testing and analysis. The research results show that choosing the right scheduling algorithm can increase system efficiency and responsiveness, as well as provide recommendations for Android operating system developers and the application developer community. It is hoped that these findings will help in determining the optimal solution for improving the performance of the Android operating system.

This study compares the performance of Convolutional Neural Network (CNN) and Support Vector Machine (SVM) algorithms in detecting and classifying smoking activities. Using an image dataset containing two classes, Smoking and Non-Smoking, this research implements transfer learning using the InceptionResNetV2 model for CNN and the SVM method. Evaluation results show that CNN has higher accuracy compared to SVM in detecting smoking activities. This research contributes to the development of surveillance systems for smoke-free areas in smart cities.

This research emphasizes the importance of health for every individual, as good health facilitates daily activities. One crucial aspect of health is physical health, which includes being free from various diseases. With the increasing public interest in traditional medicine, the information regarding the public's knowledge about traditional medicine also needs to be enhanced. Therefore, this research aims to develop a mobile-based traditional medicine information system at UPKM/CD Bethesda YAKKUM as an information medium for the wider community. The method used for system development in this research is the waterfall method, which involves stages such as concept, design, data collection, creation, and testing. The developed application is a mobile-based traditional medicine information system, designed to help introduce traditional medicine in Indonesia. This application is designed to be easily accessible without the need to worry about internet connection or data charges, and it can be used in various regions. The result of this research is a mobile-based information system application that provides information about traditional medicine for various diseases. This application includes information on types of medicinal plants, their benefits, and explanatory videos, making it easier for the public to learn about and understand traditiona l medicine.

Faculty The Faculty of HOLS Hospitality School faces challenges in manual administration, such as accumulating registration data, difficulty in data retrieval, risk of data loss, administrative inaccuracies, and time-consuming registration and attendance processes, increasing the risk of administrative errors. To address these issues, researchers designed a web-based information system using the waterfall model and PHP programming language. This system allows students to mark attendance using a QR code within a 5-meter radius, mentors to reschedule classes quickly and easily, and administrators to control administrative data accurately and efficiently. The result of this research is an information system product that facilitates academic administration management at HOLS Hospitality School, supports e-learning facilities, and simplifies coordination between students, mentors, and administrators.