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The rapid development of information technology encourages the use of digital media as an educational tool in the health sector, particularly for pregnant women. One of the problems faced by Klinik Bidan Rima Pondok Meja is the limited use of conventional educational media, such as books and posters, which are considered less attractive and difficult to understand. This study aims to design and develop an Android-based Augmented Reality (AR) application as an educational medium for nutrition and fetal development for pregnant women. The application presents three-dimensional (3D) visualizations of fetal development from week to week, along with information on nutritional needs during pregnancy. The system development method used in this research is the Prototype model, while the Augmented Reality technology applies marker-based tracking. The development tools used include Unity, and Blender 3D. The result of this study is an Android-based AR application prototype that provides interactive and easily understandable information about fetal development and maternal nutrition. This application is expected to increase learning interest and understanding of pregnant women in maintaining a healthy pregnancy at Klinik Bidan Rima Pondok Meja.

The advancement of information technology has had a significant impact across various sectors, including healthcare. The digitalization of healthcare services has become a solution to improve efficiency, effectiveness, and accessibility for the public. Puskesmas Selindung still uses a manual patient registration system, which leads to several issues such as long queues, extended waiting times, and the risk of lost or damaged patient records. Based on visit data, the number of patients coming to Puskesmas Selindung has increased each year. Therefore, a digital queue system is needed to optimize the patient registration process. This research aims to analyze and design an Android-based patient registration queue application to improve service efficiency at Puskesmas Selindung. The research methods include system requirements analysis, user interface design, and the development of core features to support the online patient registration process. The implementation of this application is expected to reduce long queues, speed up administrative processes, and make it easier for patients to access healthcare services more effectively and accurately. With this Android-based system, the quality of healthcare services at Puskesmas Selindung is expected to improve significantly.

The exchange of information in the digital era has become a general need for society. However, the information sent often has a public or confidential nature. Therefore, security is needed so that confidential information remains safe. Cryptography is a field of knowledge used to secure information using encryption and decryption processes. One of the cryptographic methods used is the permutation method, which changes the layout, sequence, or structure of data into a form that is difficult to understand without knowledge of the exact key. Implementing cryptography using the permutation method in Android-based applications can increase the security and privacy of user data, as well as protect sensitive information from unauthorized access. This research aims to implement permutation method cryptography in Android-based applications to protect the confidentiality or privacy of user data. By using the permutation method, the sequence of bits or characters in the data is scrambled so that it is difficult for unauthorized parties to understand. The research results show that the implementation of permutation method cryptography in Android applications can provide a higher level of security in maintaining data confidentiality. However, it is worth considering that simple permutation methods may not be secure enough to deal with more sophisticated attacks. Therefore, choosing a stronger cryptographic method needs to be considered to achieve a higher level of security. In conclusion, implementing cryptography using the permutation method in Android-based applications can increase the security and privacy of user data. The permutation method is able to randomize the sequence of bits or characters in the data so that it is difficult for unauthorized parties to understand. However, for a higher level of security, it is necessary to consider stronger cryptographic methods.

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

Learning Hijaiyah letters is an essential foundation for studying the Qur’an, especially in early childhood. Traditional learning methods are often considered less engaging because they tend to be monotonous and non-interactive. This study aims to design and develop an Android-based Hijaiyah letter learning application using the Kodular platform by implementing the Multimedia Development Life Cycle (MDLC) method. The MDLC stages include concept, design, material collection, construction, testing, and distribution. This application has several prominent features, including an introduction to Hijaiyah letters, illustrated practice questions with a randomisation system, and automatic assessment displaying learning scores. Test results show that the application runs well on various Android devices and all functions, such as navigation between screens, question randomisation, and score display, work as expected. Based on user trials, this application is practical at increasing students’ interest and understanding of Hijaiyah letters through interactive, enjoyable learning.

Bahasa daerah ende mempunyai peran penting dalam menjaga identitas budaya serta memperkaya keberagaman linguistik Indonesia. tetapi, penggunaan bahasa daerah ende mengalami penurunan, terutama di kalangan generasi muda. Penelitian ini bertujuan untuk mengembangkan aplikasi penerjemah Bahasa Indonesia ke Bahasa daerah Ende berbasis mobile dengan pendekatan metode Agile. aplikasi ini dirancang untuk mempermudah pengguna dalam memahami dan mempelajari Bahasa Ende secara mudah melalui perangkat Android. Pengembangan dilakukan secara iteratif melalui tahapan perencanaan, perancangan, pengembangan, pengujian, sampai peluncuran. hasil dari penelitian ini menunjukkan bahwa aplikasi mampu membantu pelestarian bahasa daerah, mempermudah akses warga terhadap kosakata lokal, dan meningkatkan minat belajar bahasa Ende pada kalangan pengguna muda. Uji coba dilakukan dengan melibatkan penutur asli dan masyarakat Kabupaten Ende, yang memberikan umpan balik positif terhadap akurasi serta kemudahan penggunaan aplikasi

Perkembangan teknologi informasi di era globalisasi telah mendorong berbagai inovasi dalam pelestarian budaya, termasuk dalam bentuk media digital untuk pembelajaran bahasa daerah. Salah satu bahasa daerah yang mengalami penurunan penutur adalah Bahasa Keo, yang digunakan di wilayah selatan Kabupaten Nagekeo, khususnya di Desa Lokalaba. Penggunaan bahasa ini di kalangan generasi muda semakin berkurang karena kurangnya media pembelajaran yang mendukung. Di sisi lain, wisatawan yang datang ke wilayah ini menunjukkan ketertarikan terhadap budaya dan bahasa lokal, namun keterbatasan akses terhadap materi pembelajaran menjadi kendala utama. Penelitian ini bertujuan untuk merancang dan membangun aplikasi kamus bahasa Keo berbasis Android dengan menggunakan platform MIT App Inventor. Aplikasi ini dirancang sebagai alat bantu belajar yang sederhana dan interaktif, berisi kosakata dasar dalam dua bahasa, yaitu Bahasa Indonesia dan Bahasa Keo. Fitur utama meliputi pencarian kata, pilihan arah terjemahan dua arah (Indonesia–Keo dan Keo–Indonesia), serta halaman informasi mengenai bahasa Keo dan aplikasi itu sendiri. Seluruh data kosakata dimasukkan secara statis tanpa menggunakan server atau basis data online. Dengan hadirnya aplikasi ini, diharapkan masyarakat lokal, khususnya generasi muda, dapat belajar Bahasa Keo secara mandiri dan menyenangkan. Selain itu, aplikasi ini dapat membantu wisatawan dalam berkomunikasi dan memahami budaya lokal. Penelitian ini merupakan bentuk kontribusi nyata dalam pelestarian bahasa daerah melalui pemanfaatan teknologi digital yang  tepat.

Learning Hajj rituals requires innovation to overcome the limitations of available media, one of which is through the utilization of the integration of the Android platform with Augmented Reality technology. The Muslim Sadiq application on smartphones displays 3D objects related to the practice of Hajj rituals. This study aims to explain the design of interactive media based on Augmented Reality as an innovation in learning Hajj rituals, expected to improve student understanding through a more visual, interactive, and contextual learning experience. This media design method adopts two stages of the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), namely the needs analysis and media design stages. This study reveals that learning Hajj rituals requires interactive and applicable media to overcome the gap between theoretical understanding and the practice of Hajj worship in real life. The designed media utilizes AR technology to create a simulation of Hajj implementation and supports experience-based learning. Although the design has considered technical and pedagogical aspects, this media is still in the design stage and has not been tested or implemented directly. Therefore, further research is needed to assess the effectiveness of this media in learning Hajj rituals.

The synchronization of mutex and semaphore mechanisms is an important technique in operating systems for managing concurrent resource access in multi-threaded environments. In the Android operating system, which relies on thread-based programming to maintain performance and responsiveness, these two mechanisms play a vital role in preventing race conditions and ensuring data integrity. A mutex is a locking object that ensures that only one thread can access a specific resource at a time, while a semaphore controls access to a limited number of resources by counting the number of threads that can access them simultaneously. In Android, these mechanisms are implemented using the Lock class for mutexes and the Semaphore class for semaphores, both of which can be used to control synchronization between threads in Android applications. This paper will discuss the application of these two mechanisms in the context of shared resource management, as well as a comparison of their performance and advantages in dealing with complex multi-threading scenarios on Android. Emphasis will also be placed on the challenges faced in using these two mechanisms in Android applications, as well as how proper programming can avoid deadlocks and improve application efficiency.

The development of digital media and innovative learning models in Junior High School Science education reflects a sustained commitment to meeting the demands of 21st-century skills and improving the quality of science instruction. A comprehensive literature review (2019–2024) reveals the dominance of the Research and Development (R&D) approach, which consistently yields highly valid, practical, and effective digital resources, such as Augmented Reality (AR), Android-based applications, and interactive educational games. These digital tools are synergistically integrated with modern instructional models, including Problem-Based Learning (PBL), Inquiry-Based Learning (IBL), and Predict-Observe-Explain (POE), which are proven effective in increasing student engagement, enhancing cognitive outcomes, and honing essential competencies such as Science Process Skills (SPS) and Higher-Order Thinking Skills (HOTS). Ultimately, this integration contributes significantly to overcoming learning difficulties in complex and abstract Science topics (e.g., the human digestive system) while also effectively addressing contemporary educational challenges, fostering meaningful learning experiences, and supporting long-term academic success for students.

The digitalization of learning media in the world of education is increasingly visible. The aim of this research is to analyze the strengthening of Citizenship Education learning through learning media. This research uses a qualitative research method with a literature study approach. Citizenship education is an important thing to study in order to understand how citizens carry out their roles, rights and responsibilities for the country. There are various studies that have proven the effectiveness of several learning media for PPKn, including Powtoon, Anchor Podcast, Android Applications, and Roleplay.

The purpose of this study is to analyze the potential and development strategies of the historical tourism site “Jejak Bung Karno” (The Footsteps of Bung Karno) in Ende Regency, as well as to design an Android-based digital media to enhance the overall visitor experience. Ende is recognized for its profound historical value as the place where the foundational ideas of Pancasila were first conceived, and it is home to several important sites such as the Bung Karno Exile House and the Pancasila Reflection Park. However, the management of this destination remains suboptimal, particularly in terms of promotion, the application of digital technology, and the delivery of engaging tourist information. The user interface design was developed using Figma software, while user experience testing was conducted through the User Experience Questionnaire (UEQ) involving 35 participants. The results indicate that the Attractiveness (2.027) and Perspicuity (3.804) aspects received “excellent” ratings, while Efficiency, Dependability, Stimulation, and Novelty were categorized as “above average.” These findings suggest that the application interface design aligns well with user needs and preferences. Furthermore, the study highlights that the implementation of Android-based technology contributes positively to the digitalization of historical tourism, broadens promotional reach, and strengthens the identity of “Ende Bumi Pancasila” as an educational and cultural tourism destination in the era of digital transformation.

The waste detection application is a solution to identify and classify waste. With the increasing waste problem, this application aims to assist in classifying waste into organic, inorganic, and unknown categories. This research implements a waste detection application that runs on smartphones with the Android operating system. The application is the result of a capstone project from the Bangkit program in the MSIB batch 6. The development of this application is divided into several parts, namely backend, frontend, and deployment. The author focuses on the deployment process of the application using Google Cloud Platform. The Google Cloud Platform infrastructure was chosen due to its scalability and flexibility. The services utilized include Google Compute Engine (GCE), Google Virtual Private Cloud (VPC), and Google Cloud Storage (GCS). The deployment process involves creating a new project in Google Cloud, configuring virtual machines, and setting up Google Cloud Storage. The server VM configuration includes the installation of SQL Server (MariaDB), deployment of the Machine Learning API, and Backend API. Testing was carried out on the Machine Learning API using Postman and the Backend API through a browser. The results show that Google Cloud Platform can be implemented as a cloud computing infrastructure for waste detection applications. The Machine Learning API is able to read objects in the form of images sent by users.

Bahasa Hubula merupakan salah satu bahasa daerah yang digunakan oleh masyarakat di Lembah Baliem, Papua. Seiring perkembangan zaman, penggunaan bahasa ini mengalami penurunan, khususnya di kalangan generasi muda. Minimnya dokumentasi serta belum tersedianya media digital yang mendukung menjadi tantangan dalam pelestarian bahasa tersebut. Tujuan dari penelitian ini adalah merancang dan membangun aplikasi kamus bahasa Hubula berbasis mobile sebagai media pembelajaran sekaligus upaya pelestarian bahasa daerah. Metode pengembangan sistem yang digunakan adalah metode Prototype, yang memungkinkan pengembangan dilakukan secara iteratif melalui pembuatan purwarupa, evaluasi, dan perbaikan berdasarkan umpan balik pengguna. Data kebutuhan dikumpulkan melalui wawancara dengan penutur asli, keluarga, dan masyarakat Kampung Sogasio yang berdomisili di Jayapura, serta melalui studi terhadap sumber kosakata yang tersedia. Hasil dari penelitian ini berupa aplikasi kamus dalam bentuk aplikasi Android dan sistem web admin. Aplikasi Android ditujukan bagi pengguna umum untuk mencari dan mengajukan kosakata, sedangkan sistem web digunakan untuk pengelolaan data oleh admin. Hasil pengujian dengan metode blackbox menunjukkan bahwa seluruh fitur telah berfungsi sesuai kebutuhan. Penelitian ini memberikan kontribusi terhadap pengembangan teknologi pelestarian bahasa daerah serta membuka peluang replikasi untuk bahasa-bahasa lokal lainnya di Indonesia yang juga terancam punah.

This study aims to design and develop an interactive learning medium based on Augmented Reality (AR) for the subject of Basic Electronics Engineering, particularly on the topic of active and passive electronic components, in order to enhance the understanding and learning motivation of tenth-grade students at SMK Negeri 5 Padang. The development method used is the Multimedia Development Life Cycle (MDLC), which includes the stages of conceptualization, design, material collection, production, testing, and distribution. The final product of this research is an Android application utilizing AR technology to display 3D objects of electronic components, equipped with learning materials, educational videos, interactive evaluations, and a scan marker feature. The results of the development and implementation of this learning medium show that the Android application serves as an interactive medium that supports the learning process through Augmented Reality technology. The application received a score of 93% from the Media Expert, categorized as “Valid,” and 89.3% from the Material Expert, also categorized as “Valid.” Furthermore, the practicality test conducted with students showed an overall score of 93.15%, categorized as “Very Practical.” Based on the design results and validation by the Media Expert and Material Expert, it can be concluded that this interactive learning medium based on Augmented Reality technology is highly feasible for use. Furthermore, the implementation of this application in the learning process shows an increase in student participation and enthusiasm during the learning activities. Students appear more interested in exploring the material through 3D visualizations provided by AR technology, compared to conventional methods. The interactivity offered by the application, such as evaluation features and educational videos, also helps students understand concepts in a deeper and more enjoyable way. This shows that the integration of AR technology in learning media not only improves the effectiveness of the quality of the material.

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.

This research aims to develop an Augmented Reality (AR) application as a navigation aid and facility introduction tool in the Informatics Engineering Building of Bengkalis State Polytechnic. This application is specifically designed to help new students and visitors understand and navigate the complex campus environment. By utilizing AR technology, the application provides an interactive guide that displays routes to various laboratories and presents detailed information about available facilities. The method used in developing this application is the Multimedia Development Life Cycle (MDLC), which consists of five stages: planning, design, development, testing, and launch. In the planning stage, a user needs analysis is conducted to ensure that the developed application meets the expectations and needs of end users. The design stage includes the creation of user interaction flows and visual interfaces, while the development stage involves the integration of AR technology with location data and campus facility information. Testing is conducted to ensure the functionality and accuracy of the navigation features and the quality of the user experience before the application is launched. The results of this study indicate that the AR application is able to provide a more interactive and informative experience than conventional media. New students and visitors can easily find laboratory locations and obtain a clear overview of campus facilities. In addition to improving navigation efficiency, this application also supports the adoption of digital technology in the campus environment. Thus, this research not only contributes in terms of ease of access to information, but also encourages the use of AR technology in the world of education, especially at Bengkalis State Polytechnic.

This research focuses on the development of an Android-based vegetable detection application by utilizing digital image processing technology and data communication through Application Programming Interface (API). This application is designed to make it easier for users to visually recognize different types of vegetables using the device's camera. The detection process is carried out by sending the image to a cloud server, where the image analysis process is carried out to identify the type of vegetable, displaying its name, characteristics, and benefits. The app's implementation includes an intuitive and user-friendly user interface, with key features such as login, registration, and an interactive dashboard. The dashboard displays user information, location, ambient temperature, vegetable detection history, and direct access to the camera for real-time detection processes. The utilization of cloud computing technology not only keeps application performance lightweight and responsive, but also enables high processing efficiency and data scalability. This allows the application to continue to evolve according to the increasing number of users and incoming data. Image processing is done with machine learning algorithms that are trained to recognize the shape, color, and texture of different types of local vegetables. In addition, this system is also equipped with a periodic data update feature to be able to adjust to the development of new vegetable classifications. The test results show that the app is able to recognize different types of vegetables with a high level of accuracy, as well as provide additional relevant information quickly and accurately. Tests are carried out on a variety of lighting and background conditions to ensure the reliability of the system. The success of the development of this application reflects the integration of modern technology in supporting the digital agriculture sector.

A wedding is an important event in a person's life that requires various careful preparations, one of which is sending invitations to guests. This research aims to create an Android-based wedding invitation booking application that utilizes Augmented Reality (AR) technology with a Design Thinking approach. This approach includes five main stages, namely empathize, define, ideate, prototype, and testing, to ensure that the developed application is truly in accordance with the needs and expectations of users. With AR technology, users can view and interact directly with virtual invitations through digital devices such as smartphones, which provides a more engaging, interactive, and modern visual experience than conventional physical invitations. The app's key features include invitation design selection, content customization (name, location, date, and couple's photo), as well as simulated invitation display with three-dimensional effects via AR. The app also allows users to store, share, and place orders directly through an integrated system. The results of the evaluation conducted using the System Usability Scale (SUS) method showed a score of 75.3. This score indicates that the app has a good usability level and is positively received by the majority of respondents. In addition, this application is considered to be able to increase efficiency in the invitation ordering process and provide a more modern and personal impression to users and invited guests. The conclusion of this study is that AR-based wedding invitation booking apps not only serve as a practical tool, but also become digital innovations that enrich the user experience in modern weddings. This research is expected to make a real contribution to the development of creative information technology and inspire other developers to create similar solutions that are innovative, efficient, and relevant to the needs of the times.

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.