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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 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.

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.

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.

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 purpose of this study was to develop and test a mathematics learning tool using Virtual Reality (VR) technology on the Android platform. The material focused on is flat-sided spatial objects for junior high school students. The development stages were carried out through various steps, from planning to testing on students. The findings showed that the media was considered appropriate by experts, easily accessible to students, and contributed to improving learning outcomes. In addition, students appeared more enthusiastic and excited during the learning process. A review of two other articles confirmed that VR and AR-based media were able to improve understanding and make learning more enjoyable. This tool could be an interesting alternative for teaching mathematics.

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.

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.

Kemajuan teknologi telah menciptakan peluang baru dalam bidang pendidikan, terutama bagi anak usia dini. Penelitian ini mengembangkan sebuah game edukatif berbasis Android yang ditujukan untuk anak berusia 4 hingga 6 tahun, dengan materi pengenalan huruf, angka, buah, dan hewan. Pengembangan aplikasi ini menggunakan model Waterfall yang mencakup analisis kebutuhan, perancangan, implementasi, pengujian, serta pemeliharaan. Game dirancang menggunakan Flutter dan bahasa Dart untuk menghasilkan tampilan yang interaktif dan responsif, serta dilengkapi dengan fitur audio-visual yang menarik. Berdasarkan hasil pengujian Blackbox dan User Acceptance Testing (UAT), sebanyak 87% anak menunjukkan ketertarikan terhadap game ini, dan 82% mampu mengingat materi yang disampaikan. Para guru juga memberikan respon positif, menilai permainan ini efektif sebagai media pembelajaran. Meski demikian, masih diperlukan penambahan variasi soal serta peningkatan kinerja aplikasi guna meningkatkan pengalaman pengguna secara keseluruhan.

Proses budidaya jamur tiram sangat tergantung dengan kestabilan pada kondisi lingkungan, terutama suhu ruangan dan kelembapan yang harus di perhatikan oleh para petani.  Hal ini menjadi permasalahan ketika proses pemantauan dan pengendalian lingkungan secara manual dilakukan, membutuhkan tenaga yang kuat dan waktu yang cukup besar. Penelitian ini bertujuan Mendesain rancangan sistem monitoring dan kendali suhu ruangan budidaya jamur tiram secara otomatis dan jarak jauh berbasis teknologi Internet of Things (IoT) untuk para petani. Dalam proses sistem ini penelitian ini memanfaatkan sensor suhu dan kelembapan DHT11 sebagai input, mikrokontroler Arduino Uno sebagai pemroses data, dan modul ESP8266 sebagai pengirim data nirkabel ke aplikasi Android berbasis Blynk.  Adapun metode dalam penelitia ini digunakan pengembangan yang digunakan adalah Software Development Life Cycle (SDLC) model waterfall, dan menganalisis kebutuhan, perancangan sistem, implementasi, pengujian, hingga pemeliharaan. Hasil pengujian menunjukkan bahwa sistem mampu membaca suhu dan mengaktifkan blower (kipas) secara otomatis ketika suhu melebihi ambang batas, serta menampilkan data suhu dan status kipas secara real-time melalui aplikasi Blynk. Dengan adanya sistem ini, pemantauan dan pengendalian lingkungan budidaya jamur dapat dilakukan lebih efisien dan fleksibel dan mendukung produktivitas budidaya secara optimal.

Milkfish farming in coastal ponds of Ujung Watu Village, Jepara, is highly influenced by the stability of water salinity levels. Significant fluctuations in salinity can interfere with the growth and health of fish, so an adaptive control system is needed. Research methods include field data collection, hardware and software design, and system testing in an active pond for 14 days (23-hour sampling), where data is extracted for 23 hours. The system uses a salinity sensor to detect water conditions, PLC to automatically control the brackish water pump, while wireless remote control uses IoT, in addition to controliing, IoT to send data to the Android-based monitoring platform. The test results show that this machine is able to maintain salinity levels within the optimal range of 10000-30000 ppm, and provide remote monitoring convenience to pond farmers. The monitoring system serves as a predictive for manual wireless control of electric pumps (IoT), while automatic control is controlled by PLC.

This study aims to (1) Develop learning media using Articulate Storyline 3 based on android on the elements of the Unitary State of the Republic of Indonesia in phase E of SMA Negeri 1 Sukoharjo; (2) Measure the feasibility of the product of the development of learning media using Articulate Storyline 3 based on android on the elements of the Unitary State of the Republic of Indonesia in phase E of SMA Negeri 1 Sukoharjo. The results of this study are (1) the development of learning media based on android on the elements of the Unitary State of the Republic of Indonesia in the form of an application containing learning materials, learning videos and evaluations (multiple choice tests). (2) The development product was validated by experts with the results of the feasibility test based on the validation of material experts of 76.25%, and the validation of media experts of 82%. Furthermore, a limited trial was conducted with a score of 90.1% and the results of the extensive trial obtained a score of 89.2%. The results of the effectiveness test using N-gain on class X E8 students obtained a score of 0.76 and on class X.E11 students obtained a score of 0.75. Keywords: Learning Media, DBR, Articulate Storyline 3, Pancasila Education

Liquid Petroleum Gas, commonly known as LPG, is widely used in household activities, especially for cooking. However, its flammable nature makes this gas very hazardous if a leak occurs, which can result in an explosion that damages buildings, endangers the safety of those living there, and causes financial losses. Recently, the improper or unsafe use of LPG gas has led to numerous accidents and fires. This raises serious concerns for the people who use it. LPG gas leaks are often difficult to detect due to various factors, such as the absence of the gas's distinctive odor or the absence of people around the leak location. This study aims to detect gas leaks to minimize or prevent fires and LPG gas explosions. The methods in the research that will be carried out include identification, literature study, data collection, design, implementation, system testing, and conclusions. In this study, the design and implementation of an LPG gas leak detection system based on Arduino will be carried out to minimize this risk. The system will use MQ-2 to determine the concentration of LPG gas in the air. When a leak is detected, the Arduino microcontroller will process the input and automatically close the solenoid and activate the buzzer as an alarm. The implementation and testing results concluded that the system can detect LPG leaks above 600 ppm and respond effectively by cutting off the gas supply and providing an audible warning. This system is expected to improve household safety by providing early warning of gas leaks. Future developments may include integration with an Android app for smartphones, enabling more practical remote monitoring.