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 study compares the performance of two deep learning models, namely Convolutional Long Short-Term Memory (ConvLSTM) and Long-term Recurrent Convolutional Network (LRCN), in the task of recognizing human activity from videos. Human activity recognition is an important field in computer vision with many applications, such as security monitoring, human-computer interaction, and social media-based video analysis. ConvLSTM is a model that combines convolution operations with long-term memory LSTM, thus capable of capturing spatial and temporal information simultaneously. This approach is ideal for processing video data sequences that have spatial and temporal dimensions. On the other hand, LRCN combines the power of spatial feature extraction from Convolutional Neural Network (CNN) and temporal sequence modeling through Recurrent Neural Network (RNN), specifically LSTM, to understand movement patterns in videos. The study used the UCF50 dataset consisting of 50 activity classes, but was limited to five classes for the focus of the experiment. The dataset was divided into 80% for training and 20% for testing, and the model was drilled for 50 epochs using early stopping to prevent overfitting. The results show that both models have high training performance. ConvLSTM achieved a training accuracy of around 98% and a validation accuracy of 90%, while LRCN achieved a training accuracy of 99.5% and a validation accuracy of 88%. Although ConvLSTM demonstrated good stability on the validation data, further testing using TikTok videos as real-world data showed that LRCN had a higher confidence level in recognizing activities, with most predictions achieving confidence scores above 80%. This difference in performance indicates that while ConvLSTM excels in generalizing on training data, LRCN is more robust to real-world data variations.

The transition of children from early childhood education to elementary school (SD) is a critical phase in their psychological and academic development. During this phase, children face significant challenges, including changes to a more structured learning environment and increasing academic demands. At SDN 055991 in Langkat Regency, this phenomenon is reflected in the difficulties experienced by some students, particularly with basic skills such as reading, writing, and arithmetic, as well as with socializing with peers. These difficulties can impact children's long-term academic and social development. This study aims to identify the key factors influencing children's learning readiness during this transition period, utilizing artificial intelligence (AI) technology. Specifically, this study uses Artificial Neural Networks (ANN) and Decision Trees as tools to analyze the data obtained. The use of this data-driven approach allows for a more in-depth analysis of the complex patterns and relationships between various variables that influence children's learning readiness, such as family factors, social environment, and students' basic skills. This study also references various previous studies demonstrating the effectiveness of backpropagation and Deep Learning algorithms in the context of education and student performance prediction. This approach is expected to provide more precise solutions for understanding children's learning readiness and provide a more accurate picture of the factors contributing to difficulties experienced by students in the transition to elementary school. The results of this study are expected to provide relevant recommendations for parents, educators, and education policymakers to support children's learning readiness and strengthen basic education policies that are adaptive to the needs of students in this digital era.

The term "cloud computing" refers to the delivery of numerous services via the Internet. Because of providers that provide cloud services, users can store files and media on faraway servers and subsequently access the items online. Due to the lack of location requirements, this enables anyone to watch them remotely. This design is currently beginning to be implemented in the sphere of education, particularly in universities. In order to determine the factors influencing the adoption of cloud computing in education, previous academics have employed the technology adoption theory, which is discussed in this study. The purpose of this study, which is a systematic literature review, is to identify and assess knowledge gaps about the factors impacting the adoption of cloud computing in education. To fill in any gaps and add to the body of knowledge already in existence, this study will therefore enhance the information by offering a complete examination of the material that is already available.

Advances in augmented reality (AR) technology have opened up new possibilities in learning, such as help with mathematics. The aim of this research is to develop a simple interactive learning application for building rooms based on AR technology using Unity and Vuforia Engine. This application is designed to help students understand spatial geometry concepts visually and interactively so as to increase interest and understanding of the subject matter. This application development uses Unity as a development platform and Vuforia Engine as an SDK to facilitate AR integration.  This application creates a more interesting learning experience and supports the visualization of geometric objects such as cones, cubes, tubes, balls and pyramids. AR technology allows students to interact with these objects in a 3D environment, which can be very helpful in clarifying concepts and formulas that are difficult to understand using traditional learning media. It is hoped that this research can provide innovative solutions to improve the quality of geometry learning in schools.

Management Information Systems (MIS) are an important component in modern organizational operations which function to manage, process and disseminate information to support decision making, planning and control. This article discusses the basic concepts of MIS, including its definition, components and functions in an organizational context. MIS consists of hardware, software, data, procedures and human resources that interact to produce relevant and accurate information. The key role of MIS in improving operational efficiency, simplifying business processes, and providing timely reports to managers is explored in depth. In addition, this article also discusses the latest challenges and trends in MIS development, including issues of data security, system integration, and adoption of new technologies. Through a deep understanding of the basic concepts of MIS, organizations can more effectively utilize information technology to achieve their strategic goals.

The Village Office is the village administration center in rural areas. The function of the village government is to carry out village administration which is carried out by the village head, village officials and the village residents themselves. In Rada Mata Village, Tambolaka City District, Southwest Sumba Regency, it is one of the villages that already has internet access. The village makes it easy to access sites on the internet. Therefore, the aim of this research is to create a system capable of managing population information data. The results obtained from this research are a population information system that can solve the problems faced by Rada Mata Village. From the results of the discussion it can be concluded that the population information system can answer the problems faced, including making data searches easier and faster, archiving data does not take up a lot of space because it has been replaced by digital storage, and data reporting can be presented quickly, completely, attractively and appropriately. village needs.
 
 

The growth of the internet has influenced the tourism industry because the internet makes it easier for individuals to obtain reviews about places to visit and because the internet is a tool used by tourist site managers to assess the quality of their offerings. The increase in the number of tourists of almost two million in just three years in West Sumba is proof of this influence. Social media is a tool that people use to interact with each other online; some people have multiple accounts on platforms such as Instagram, WhatsApp, Facebook, Telegram, Twitter, and so on. Tourists can receive recommendations for tourist attractions based on price and type of trip desired through a tourist attraction recommendation system that uses the KNN algorithm. Three factors were used in this research: activity, type of tourism, and type of price. An accuracy of 63.16% is found in the test results using the KNN algorithm and the Rapid Miner application with a K value of 5. The analysis results show that the K-Nearest Neighbor (K-NN) approach can be used as a guideline for recommending tourist destinations to visitors in West Sumba.

In the current digital era, cybersecurity of data and information systems. The threat of  attacks, or , is a form of threat that continues to grow along with advances in technology. This research aims to learn about cybersecurity strategies in dealing with . The method used in this research is a literature review. This journal was prepared based on an analysis of research results from various journals accessed through secondary data sources, namely the Google Scholar database, and e-resources from Springer, Cambridge, and Taylor and Francis. The research results show that implementing technology such as encryption, multifactor authentication, and user training, are some of the effective steps that have been proven to reduce risk. However, challenges in implementing this strategy remain, both from a technical and non-technical perspective, which require special attention from researchers and practitioners in the field of cyber security.

In the digital era, the use of information technology in various fields, including education, is essential. Madrasah Ibtidaiyah Syamsul Huda in Jagakarsa District, South Jakarta, faces challenges in recording teacher attendance, which is still done manually, leading to issues such as data inaccuracy and difficulty in recapitulation. This research aims to design and develop a web-based attendance system using PHP, Bootstrap, CSS, HTML, and MySQL. The system is expected to improve the efficiency and accuracy of attendance recording, as well as facilitate real-time access and processing of attendance data. The research methodology includes needs analysis, system design, implementation, testing, and maintenance. The results indicate that the web-based attendance system can provide an effective solution to enhance teacher attendance management at Madrasah Ibtidaiyah Syamsul Huda.

Cats (Felis catus) are a type of carnivorous mammal from the Felidae family that was domesticated and has been one of the animals that has mingled with humans since time immemorial. Domestic cats are broadly divided into 2 types, namely village cats and purebred cats. Purebred cats have quite a varied number of types. Therefore, confusion often occurs in determining the type or breed of cat. Meanwhile, in practice, each race does not have the same treatment (especially in the aspect of care). In digital image processing, Machine Learning and Deep Learning are the main aspects in the process of applying technology that can overcome this problem, so research related to this problem was designed. This research was conducted to add insight for further research in a more sophisticated and effective image recognition process. In the experiments carried out in this research, the SVM, KNN, and CNN methods were tested with the Xception and EfficientNet-B1 architectures. Based on the final results obtained from this test, the CNN method with the Xception architecture is the best model. By using fine-tuning and a learning-rate of 1e-5, this method produces a micro average value of 0.974, on a cat breed image dataset of 13 classes and 7800 images. Meanwhile, the method that produces the fastest ETA Training and Testing is obtained by the KNN method, with an ETA Training time of 0.194 seconds, and an ETA Testing time of 1.782 seconds.
 
 
 

Currently, the development of information technology has advanced in all sectors, one of which is the education sector which plays an important role in optimizing library functions and services in educational institutions. SMA Negeri 1 Sreseh Sampang developed a library information system to increase effectiveness and accessibility in managing libraries. System development was carried out using a RAD approach, including workshops on requirements planning, design and implementation. During implementation, the system utilizes a web platform compiled with the Laravel framework and MySQL database. The results of this research show that the library information system of SMA Negeri 1 Sreseh Sampang can cover all library business needs and can be used by all library members and employees, so that information can be presented more quickly and efficiently.

Javanese language is local content for levels from elementary to high school, the aim of learning Javanese is an effort to preserve Javanese culture. Therefore, to achieve these learning objectives, interactive learning media is needed according to students' needs. The researcher developed material introducing Javanese script, using animation media which was created with the aim of achieving the expected goals in the learning process. The results of this research are audio and video based which students can use in learning media. With this media, students can easily learn about the Javanese script presented by the teacher, this speeds up understanding of the material presented by the teacher.
 

In today's digital era, technology and information are developing very rapidly. The role of technology has brought benefits to humans in all aspects of the field, namely education, economics, social and culture, transportation, etc. With increasingly advanced technology, it is hoped that it will make human work easier in the future. Digital technology has changed the way we work, interact and do business. In today's digital era, old systems and processes must be rethought, and new technologies must be implemented so that businesses remain competitive and grow. High global competition places demands on business actors to continue to improve product innovation by utilizing existing technology to face this global challenge. Utilization of technology such as Increasing Operational Efficiency and Global Business can also help in understanding the changes that occur in the digital business ecosystem. The aim of this research is to determine the influence of digital technology on the development of modern business.
 
 

Institut Teknologi Del (IT Del) is a technological-focused institution of higher education located in Sitoluama, North Sumatra. Emphasizing innovation in technology, IT Del is an ideal setting to explore the impact of internet usage on the learning process. This study aims to examine the influence of internet usage on student learning interest at IT Del. Using the Theory of Reasoned Action (TRA) as a theoretical framework, the research investigates the relationship between attitudes toward internet usage and social influence on learning interest. Data were collected through an online survey from 50 IT Del students. Multiple regression analysis indicates that both attitudes toward internet usage and social influence have a significant positive impact on student learning interest. The research findings reveal that 44.2% of the variation in learning interest can be explained by these independent variables. These findings underscore the importance of integrating internet technology in educational strategies and the significant role of academic social environments in enhancing student learning interest. This study provides valuable insights for IT Del and other higher education institutions in designing effective learning policies and practices in the digital era.
 
 

The development of the business world in Indonesia is marked by a situation of rapid change that is difficult to predict. This is due to the influence of the economic crisis which is still ongoing. The real sector is the sector that was most affected by the earliest and the heaviest. CV. Karya Mulia, which is located at Jl. Bandungrejo No. 65 Mranggen Demak – Indonesia is a company engaged in graphic design and printing services that wants to progress and develop because it has been established for about 10 years, which at this time is required to compete with other companies. With this situation, companies are required to market their products more quickly and efficiently

This research investigates the effectiveness of new methods in improving computer system performance through a rigorous scientific approach. The research method applied includes the steps of data collection, implementation of new methods, data analysis, and evaluation of results. The research results show that the proposed innovative approach successfully improves the performance of the computer system in various test scenarios. Key findings include significant improvements in data processing speed, with increased system responsiveness and more optimal resource use efficiency. Statistical analysis shows a 25% increase in data processing speed and up to 20% improved resource usage. These results provide a strong empirical basis for the recognition of a scientific approach in improving computer system performance, as well as demonstrating the potential for further application in the context of computer system performance optimization. Thus, this research provides a valuable contribution to the understanding and practice of computer system performance optimization.

Procurement of goods is a recurring activity in a company's business process. Meanwhile, the traditional goods procurement process is often felt to be less efficient and effective, so it requires a better solution. The traditional procurement process also often takes a long time, has high costs and lacks transparency. This can lead to inefficiencies and risks of abuse. This research aims to develop a more efficient and effective goods procurement application model using SDLC and waterfall methodology. This research uses observation methods to study the current procurement process and interviews to obtain input from stakeholders regarding application needs. The research results show that the goods procurement application model developed can help companies in the goods procurement process more efficiently and effectively. This application model can help companies save time and costs, as well as increase transparency and accountability in the procurement process.

Hijaiyah letters are the alphabet used in Arabic and the Koran. Automatic recognition of hijaiyah letters has many benefits, especially in the fields of education and learning Arabic and the Koran. This research aims to classify hijaiyah letter recognition using image processing techniques and the Support Vector Machine (SVM) algorithm. We collected a dataset of images of 5 hijaiyah letters with a total of 400 images obtained from Google and also Iqro'.  The train:test ratio is 8:2. Experimental results show that the proposed approach can achieve high accuracy in recognizing hijaiyah letters with an accuracy rate of 99.16%.

Instructional media plays a crucial role in achieving educational objectives. Educators need to develop teaching strategies using various appropriate media and learning resources. Currently, GASING mathematics instructional media only consists of modules, PowerPoint, and teaching aids. This indicates the untapped potential in utilizing instructional media such as animated videos as engaging and effective learning tools. Based on this issue, the researcher employed the GASING method in the subject of mathematics, specifically focusing on multiplying 2-digit numbers by 1-digit numbers. This study aims to ascertain the development process and feasibility of animated videos using Powtoon. These animated videos were developed using the ADDIE model. Based on validation results by language experts, an average of 98.33% was obtained, while content experts yielded an average percentage of 78.18%. Furthermore, media experts achieved an average percentage of 90.67%, and individual trials (One to One) resulted in an average percentage of 85.64%. Based on the validation results by experts, it can be concluded that animated video instructional media using Powtoon in mathematics with the GASING method as the developed instructional media is highly suitable for field use, as evidenced by the average percentage of feasibility obtained being 88.21% (very feasible).
 

Java Island is the most disaster-prone region in Indonesia because Java Island is located in a convex zone (meeting each other) between two tectonic plates, namely the Eurasian Plate in the north, and the Indo-Australian Plate which causes the formation of volcanoes and earthquakes. Java Island which is near the convergence zone of these plates causes Java to become a disaster-prone zone, with many volcanoes that often erupt and experience many earthquakes. Volcanoes are formed due to the movement of hot magma from the meeting of plates to the earth's surface. While earthquakes occur due to the instantaneous movement of earth plates.

The payment information system is a data processing system that will produce reports every period, which is once a month. The report will then be submitted to the leadership to find out the smoothness of payments for one month. The payment system functions to manage all payment data that is always changing through payment transactions.

As part of the final project for the Independent Study Certified Campus Merdeka program, we developed a prototype of the Any.do application through a redesign effort by applying the Design Thinking methodology. This project integrated various aspects of sustainable design into the User Interface (UI) and User Experience (UX), aligning them with user needs as well as environmentally-conscious business objectives. The primary aim of this final project was to explain the features and functionalities of the application that can contribute positively to environmental sustainability and create a more intuitive and user-friendly UI/UX experience. The evaluation results demonstrated positive feedback from users regarding the design improvements and the overall enhanced quality of the application experience.