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The patent dispute between Apple Inc. and Samsung Electronics Co. Ltd. is one of the largest Intellectual Property Rights (IPR) conflicts in the modern technology industry. This case began in 2007, when Apple launched the first-generation iPhone, revolutionizing the smartphone market with its minimalist design, full-touch screen, and intuitive interface. The success of the iPhone opened new markets and positioned Apple as an innovation leader. Samsung, as the largest electronics manufacturer in Asia, then produced the Android-based Samsung Galaxy smartphone, which quickly became the iPhone's main competitor. This business competition then turned into a legal dispute when Apple considered Samsung's products too similar to its products. This case involves claims of infringement of design patents and utility patents filed in various jurisdictions such as the United States, South Korea, Japan, Germany, and the United Kingdom. This article uses a normative juridical method with a statutory and case approach. The analysis shows that the patent dispute between Apple and Samsung cannot be resolved through a single international forum due to the territorial nature of the patent system. Therefore, litigation takes place in several countries and results in varying decisions.

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 development of digital technology has driven the  increasing use of e-modules as interactive learning media that support  independent and collaborative learning. The integration of pedagogical approaches and multimedia technology makes e-modules increasingly adaptive and effective in developing higher-order thinking skills. This study aims to map trends in the development and utilization of e-modules through a Systematic Literature Review (SLR)  of Scopus articles published in 2020–2024. From the selection process, 20 articles were analyzed based on their pedagogical approach, as well as the media and digital platforms used. The study results show that pedagogical approaches such as Problem-Based Learning, STEM, SETS, Discovery Learning, and Guided Inquiry have been consistently proven to improve critical thinking skills, learning outcomes, and 21st-century competencies. From a technological perspective, Android and flipbook platforms are the primary choices due to their flexible access and multimedia support such as video, animation, simulations, and interactive quizzes. These findings emphasize the importance of developing systematic, pedagogically-based e-modules supported by interactive multimedia.  Further research is needed to explore the integration of AR/VR, gamification, and artificial intelligence.   

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.

River pollution has become one of the serious environmental issues in Indonesia, including in the Gelis River in Kudus City. The lack of public awareness—especially among the younger generation—in maintaining river cleanliness highlights the need for effective and engaging educational media. This study aims to design an Android-based educational game as an interactive learning tool for children aged 7 to 12 years to raise their awareness about the importance of keeping rivers clean. The research method used is Research and Development (R&D), employing the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). The game developed, titled RiverCourse: Petualangan Menjaga Sungai (RiverCourse: The Adventure of Protecting the River), features a sidescrolling mechanic with a visual style combining pixel art and cartoons, suited to the cognitive development stage of children. Testing was conducted on the target age group through observation and simple questionnaires.

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.

Android continues to innovate, and biometric systems particularly fingerprint sensors must operate with high efficiency. However, the main challenge lies in the communication between hardware and software, which often causes high latency, excessive power consumption, and protocol incompatibility between components. As a result, authentication speed decreases and system stability is compromised, especially on mid- to low-range devices. This study explores various implementations of Android-based fingerprint systems, focusing on how sensor modules interact with the microcontroller or Trusted Execution Environment (TEE) and the operating system through a hardware-software co-design approach to evaluate integration efficiency across all layers. The analysis reveals that conventional protocols such as Bluetooth or serial connections still cause delays, while improvements in drivers and the Hardware Abstraction Layer (HAL) can significantly reduce latency. As a solution, the researchers propose a co-design optimization approach that utilizes data flow normalization within the HAL and adopts lightweight communication protocols to accelerate the verification process. Based on the test results, this approach successfully improves efficiency—authentication time is reduced by up to 35% and power consumption decreases by approximately 15%. Therefore, the efficiency of communication between hardware and software becomes a key factor in enhancing the performance and reliability of fingerprint systems on Android devices.

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.

This research stems from the problem of manual book lending management in libraries, which often leads to obstacles such as delays in recording, data errors, and difficulties in monitoring collections. The main objective of this research is to design and develop a web-based library information system that can facilitate member data management, borrowing, and returning, as well as providing real-time book availability information. The method used is software development with a structured approach, through the stages of needs analysis, design, implementation, and testing with black box testing. The results of the study indicate that the system built is able to meet user needs, as evidenced by the successful testing that carried out all main functions without errors. The implications of this research are increased efficiency in library management and ease for students in borrowing and checking book availability. However, this research still has limitations in advanced features such as integration with the attendance system or automatic fine payments, so that these can be developed in future research.

Penelitian ini bertujuan untuk merancang dan membuat interface komunikasi data antara Electronic Control Unit (ECU) sepeda motor dengan sistem Android. Masalah yang dihadapi oleh bengkel rumahan seperti Ngoprek Garage Motoshop adalah keterbatasan alat untuk mendeteksi kerusakan ECU secara otomatis. Penelitian ini menggunakan mikrokontroler ESP32 sebagai penghubung antara ECU dan aplikasi Android, yang dirancang menggunakan MIT App Inventor. Sistem ini mampu membaca data kesalahan (Diagnostic Trouble Code/DTC) dari ECU dan menampilkannya secara langsung pada aplikasi Android. Metode penelitian yang digunakan mencakup perancangan perangkat keras dan perangkat lunak, serta pengujian sistem terhadap sepeda motor Honda. Hasil menunjukkan bahwa sistem ini mampu membaca dan menampilkan kode DTC dengan akurasi yang cukup tinggi, meskipun terdapat keterbatasan pada pembacaan parameter data secara real-time. Sistem ini diharapkan menjadi solusi alternatif bagi bengkel kecil dalam melakukan diagnosa awal terhadap kerusakan ECU.  

The development of information technology has encouraged institutions, including hospitals, to adopt digital systems to improve operational efficiency. One important aspect is the employee attendance system, which previously relied on fingerprints. This method has limitations, such as difficulty detecting when fingers are not in ideal condition and causing queues during peak hours. This research aims to design and implement an Android-based attendance system using the Eigenface facial recognition method as a faster, safer, and more accurate alternative. Eigenface works by extracting facial features using Principal Component Analysis (PCA), thus being able to efficiently recognize individual identities. The system was developed with MySQL database integration and tested on employees of Khalishah General Hospital. The implementation results showed that the system can recognize faces with a good level of accuracy and increase the effectiveness of attendance recording. Furthermore, the use of facial-based attendance can minimize the potential for fraud and increase user comfort because it does not require physical contact. Thus, the Eigenface method has proven feasible to be implemented as a modern attendance solution to support employee attendance management in hospital work environments and other institutions.

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 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 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 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.