The increasing waste problem requires innovative solutions that are efficient and sustainable. This study aims to design and build an Internet of Things (IoT) based garbage cleaning robot that can be monitored and controlled remotely. This system is designed by utilizing a microcontroller as the main brain, sensors to detect the presence of garbage, and an IoT-based communication module that allows monitoring and control of the robot via mobile devices or the web. Based on the results of the analysis and testing carried out, this study shows that the use of ESP8266 in the RC Trans Robot motor control with the Blynk application has succeeded in significantly increasing system efficiency. The system successfully responds to user input via a mobile application and can control the movement of the robot in real-time. The performance of the robot system controlled via a WiFi network shows good stability in various test scenarios. The robot can operate effectively within a distance that matches the range of the WiFi network, with fast control response and reliable communication.

Communication is the process of exchanging information, ideas, thoughts, and feelings between individuals or groups through the use of words, signs, or actions. This process can take place verbally or non-verbally and involves various media and channels, such as face-to-face conversations, writing, gestures, facial expressions, and digital technology. This research was conducted at STMIK Kaputama Binjai, namely the WhatsApp group between lecturers and students. This study uses the Support Vector Machine (SVM) method. SVM is a type of supervised learning machine learning that requires sample data. Support Vector Machine (SVM) is an algorithm developed by Boser, Guyon, and Vapnik in 1992. Support Vector Machine (SVM) has a concept that is combined with previous computational theories. This method can transform training data into higher dimensions using non-linear patterns. The results of the Support Vector Machine method classification with a total of 16 positive sentiments, 40 neutral sentiments and 71 negative sentiments. Accuracy value 67%, margin error 39%. Positive prediction precision 75%, neutral prediction precision 83% and negative prediction precision 88%..

The manual attendance system using paper at work locations other than offices at PT Gresik Migas creates challenges in the effectiveness and efficiency of employee attendance records. This study implements a web-based attendance system that integrates geolocation and selfie features to improve the accuracy and efficiency of attendance recording. The system was developed using native PHP for backend, jQuery for frontend, MySQL as database, and Leaflet JS for geolocation implementation. Implementation results show the system was successfully implemented in 5 different locations with a 50-meter validation radius and used by 40 employees. This system enables real-time attendance monitoring through an admin dashboard and produces more efficient attendance records compared to the previous manual system.

This study aims to develop an intuitive and efficient smart home control system by utilizing hand tracking and speech recognition technologies. These technologies employ the OpenCV, Mediapipe, PyAudio, and Speech Recognition libraries to recognize hand gestures and voice commands in real-time. The system is developed using a Raspberry Pi connected to a webcam and microphone as input devices, and a relay to control electronic appliances. The results show a high accuracy rate at optimal light intensity for hand tracking and a specific distance for speech recognition. This system is implemented in an IoT environment to control devices such as lights and door locks. The research is expected to contribute to the development of smarter and more user-friendly smart homes.

The web-based land transportation management system is a modern solution for managing transportation operations by utilizing web technology to facilitate monitoring, scheduling, and optimization of fleet usage. This study aims to analyze the strengths, weaknesses, opportunities, and threats in the implementation of a web-based land transportation management system using SWOT analysis. The results of this study are expected to serve as a guide for companies or transportation management agencies in designing and developing efficient and effective systems. Although there are several challenges, such as dependency on stable internet infrastructure and relatively high implementation costs, the potential benefits, such as increased operational efficiency, cost reduction, and improved customer service quality, make this system highly relevant and have strong prospects for application in the land transportation industry.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

Social media has become a crucial part of modern life around the globe, providing users with various conveniences. However, its widespread use has also brought about new challenges, one of which is cyberbullying. This harmful issue can have serious emotional and physical effects on those targeted. Cyberbullying occurs in many areas, including sports, and soccer—a sport loved by millions—is no exception. Soccer players often face severe criticism, hate speech, and harassment on social media platforms. To tackle this problem, this study aims to create a strong model for detecting cyberbullying on the social media platform “X” using the Long Short-Term Memory (LSTM) method. By utilizing advanced machine learning techniques, the proposed model intends to identify and reduce instances of cyberbullying, helping to create a safer online space for athletes and the wider community.

The development of digital era technology is currently so rapid that all kinds of human activities are very dependent on technological advances. Digitalization has penetrated all sectors of modern human life, including data archiving activities. Archives are very important for an organization or government if the archives are managed properly and correctly. Because the completeness of data and information really depends on the archiving system. The aim of this research is to determine the effect of implementing digital archives for storing digital documents. This type of research uses a qualitative approach. This qualitative research seeks to explore and understand different truths by different people. In a qualitative approach, one type of approach that is often used is the case study approach. The data analysis technique used is an interactive model data analysis technique. The results of this research explain the effects of implementing digital archives for storing digital documents.

Lubuk Karet Village has great potential in rubber production. However, the rubber sales process is often faced with various obstacles, such as difficulty in determining the right price and lack of transparency in transactions. This study is an analytical study using a qualitative approach. The aim is to analyze and design a prototype of a rubber sales application. This study uses questionnaires and interviews as the main data to answer research questions. The output of this study is the identification of problems and concerns of farmers related to how to calculate market prices, difficulties in recording transaction history, and minimal transparency of information regarding selling prices in the wider market. Then the second finding is regarding the prototype design of a prospective rubber sales application which will later be further developed by researchers. From the results of the analysis in this study, it is hoped that there will be further development of the application with farmer data entry features, rubber price calculations, and transaction tracking. It is hoped that this application can provide convenience for farmers in selling their crops, increase farmers' income, and provide transparent information regarding market prices. In addition, this application can also be a promotional media for local rubber products.

This research aims to analyze and develop a community satisfaction survey work system carried out by the Tanjung Tiram District Head Office, Batu Bara Regency. Community satisfaction surveys are one way to measure the extent to which public services provided by government agencies, in this case the sub-district office, meet the needs and expectations of the community. This research includes the design, implementation, and evaluation of the system used to collect and analyze survey data. Through representative and systematic data collection, it is hoped that the survey results can provide constructive input for improving the quality of public services in the region. It is hoped that the results of this research can provide useful recommendations for policy makers in optimizing the public service system based on community satisfaction in Batu Bara Regency