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Number recognition is a critical skill in early education, laying the foundation for digital literacy and mathematical understanding. However, traditional methods of teaching number recognition often lack the interactivity and engagement necessary for effective learning, particularly for young learners. This study proposes the development of a deep learning-based Android application aimed at enhancing the number recognition process by providing an interactive and visual learning experience. The application utilizes a Convolutional Neural Network (CNN), a type of deep learning model, to recognize handwritten numbers, offering users an innovative and engaging way to learn and practice number recognition.In the proposed application, users can draw numbers on their devices, and the system will immediately provide feedback regarding the accuracy of the drawn numbers. The CNN model will be trained on a comprehensive dataset of handwritten digits to ensure high accuracy in recognition. This real-time feedback loop is designed to help users learn the correct form of numbers while also introducing the foundational concepts of deep learning. The main objective of this application is to provide an accessible, interactive platform for learning number recognition, especially for novice learners who may be unfamiliar with basic concepts in machine learning and digital literacy. By integrating deep learning technology, the application not only supports the learning of number recognition but also serves as an introduction to artificial intelligence (AI) concepts in a practical, easy-to-understand format. Furthermore, the application is designed to be user-friendly, ensuring that it is suitable for a wide range of learners, including children and beginners. The application aims to combine the fundamental principles of deep learning with a practical, hands-on learning experience, fostering a deeper understanding of both number concepts and the potential of AI in everyday life.

Mental health is a crucial aspect of modern life, with stress and anxiety being among the most common and impactful psychological disorders. This research proposes a stress and anxiety monitoring system based on the Internet of Things (IoT), integrating biometric sensors and Deep Neural Networks (DNN) for early detection and in-depth analysis. The system is designed using MAX30102 (heart rate and SpO₂), GSR (Galvanic Skin Response), and DS18B20 (body temperature) sensors, managed by an ESP32 microcontroller and communicating through the MQTT protocol. Physiological data is collected in real-time, formatted in JSON, and transmitted to both Android and web-based applications for visualization. The DNN model is developed using the TensorFlow framework with a layered architecture and ReLU activation functions to classify four mental states: relaxed, calm, anxious, and highly stressed. The training dataset comprises both primary and secondary data, including the WESAD dataset. Model performance is evaluated through k-fold cross-validation, showing high accuracy and strong generalization capabilities. The results indicate that the integration of sensor technology and deep learning significantly improves the effectiveness of stress and anxiety detection compared to traditional methods. This system demonstrates great potential for the development of AI-based wearable devices for autonomous, real-time, and adaptive mental health monitoring. 

Most dairy farmers in our country still rely on human labor to monitor the condition of their farm areas. The current problem is the manual security system for barns, meaning that the barns need to be constantly checked around the area at all times. This is especially risky at night, when livestock theft is more likely to occur. This research implements PIR sensor technology to monitor movements around the barn, MC-38 magnetic sensors for gate security, and utilizes Android smartphones as devices to display barn data processing results, allowing real-time monitoring of barn security. The research is conducted using the Research and Development (R&D) method by Borg & Gall, encompassing only six steps. The results of the system evaluation by experts show a score of 3, falling between 2.1 – 3.0, categorized as Valid. User validation results show a score of 27.2, also falling between 2.1 – 3.0, categorized as Effective.

This article aims to understand the impact of gadget use on  childhood as well as implement  solutions on the impact of gadget use on  childhood. This gadget is a medium  used as a  modern communication tool. Gadgets make human communication easier. Today, communication has become more advanced with the advent of gadgets. Among them, 4,444 are smartphones such as iPhones, Androids and laptops. In preschool psychology, development refers to children from 0 to 6 years old. The research method used is literary research. Results show that amenities impact  social development in young children. Excessive use of gadgets harms children's social and emotional development. Harmful effects of electronic device use on children include isolation, sleep disturbances, loneliness, violent behavior, reduced creativity and threats of cyberbullying. Solution to device use in  childhood by limiting device use, supervising children's screen time with parents who play a crucial role, and providing a schedule timely  when children play with devices, so that devices do not hinder young children's social development.

Serasan Jaya 3 Building Materials Wood Depot is a business engaged in the sale of building material products, especially wood. Until now the Serasan Jaya 3 Building Materials Timber Depot only uses a manual sales and transaction system, which in this case requires a new breakthrough to keep up with technological developments that are developing in the current era because basically almost all ages demand something practical and easier. By looking at some of the existing problems, the researcher tries to design and build an information system for selling goods at the Serasan Jaya 3 Building Materials Wood Depot based on Android, therefore, the author chose this topic for a thesis entitled "Android-Based Sales Information System at Wood Materials Depot Serasan Jaya 3 Building With the Extreme Programming Development Method” which of course provides speed and convenience for the public to make transactions using mobile phones or mobile-based communication devices such as smartphones, tablets, gadgets, and so on. So that it can make it easy for the Serasan Jaya 3 Building Materials Timber Depot to promote products, product prices and make it easier for people to buy products and find out the prices of building material products from mobile devices. Android-Based Sales Information System at the Serasan Jaya 3 Building Materials Wood Depot was built using UML (Unifield Modeling Language) as its design mode and Extreme Programming as a system development method..

The purpose of this thesis is to produce tangible results in providing comfort or convenience in controlling electrical appliances, including turning on or off lights at home and controlling other electrical appliances. The method used in making the Design of Control System for Electrical Equipment Using Bluetooth Based on the Atmega 328 Microcontroller is a prototype. This research method consists of several stages, library research, analytical methods, design and implementation methods. The results achieved are reducing the number of fires due to electrical short circuits and increasing aspects of comfort and convenience for users as well as people with disabilities and the elderly, who find it difficult to stand or to reach lights and the implementation of infrastructure devices, where a series of these tools can work after bluetooth devices are available in the community. android smartphones. connected to the bluetooth module connected to the arduino microcontroller. Basically, using the principle of this tool, the user must be able to operate a smartphone based on the Android operating system. The conclusion is that this equipment has been tested and can be used as a controller of power tools with a lightweight android smartphone via a Bluetooth connection without having to press the switch button.

The development of technology allows one to obtain other people's spatial position data. One mobile technology that utilizes spatial data as a supported factor is location-based services. The large number of employees at the PT.XYZ causes the presence of a controlled process to be under control, and even tends to be questioned. Because it takes a GPS-based presence system on android that is expected to be a solution of the problems that occur at this time. The system development method used is a six-step R&D method, consisting of: Research and information gathering, Planning, Development of initial product forms, initial field testing, major product revisions, main field testing. The final result is the prototype of the Ganesha Employee Presence System Operations. The test results on the system shows the employee attendance system can run on the android platform. The system only responds to presence based on the position of the employee's coordinates with office coordinates. Besides checking the presence process is also based on devices that have been approved in the system. 

The purpose of this research is to produce tangible results in providing comfort or convenience in turning on or off the night life at home everyday, especially for people who forget to turn off the lights. The method used in making microcontroller-based home lighting control using an android smartphone is. This research method consists of several stages, analysis methods, design methods, implementation testing methods, and maintenance. The results achieved are improving the aspects of comfort and convenience for agencies, where this series of tools works after bluetooth devices are available on android smartphones. connected to a bluetooth module which is connected to the Arduino microcontroller. Basically, the principle of using this tool is that users must be able to operate a smartphone based on the Android operating system. The conclusion of this research is that the Arduino-based light control device using bluetooth can fulfill its function to control the lights properly and the device is designed to be minimalist and safety so it is safe to use.