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This community service activity is a tangible form of the university's commitment to answering the challenges of the digital era. The issue and focus of this community service is that it is known that the manual attendance method that is still used by teachers is less effective in recording attendance, entry time, and lateness. Therefore, this study aims to implement a digital attendance information system to improve the accuracy and efficiency of attendance recording. Teacher training at Al-Imam Islamic School Junior High School aims to improve the student attendance system with an Android-based approach using AppSheets and Spreadsheets. The implementation of training on making an android-based student attendance information system with appsheets and spreadsheets at Al-Imam Islamic School Cileungsi Junior High School proved that teachers showed an increase in understanding related to the concept of making information systems, appsheets and spreadsheets, which included camera features, GPS, updated data in spreadsheets, to procedures for making applications using spreadsheets. Teachers learn that the attendance information system is not a difficult thing and in this day and age we are also required to enter the world of technology and digital to make teaching and learning activities easier and more fun, This increase in understanding is reflected in the results of pre-test evaluations and material presentations that show an increase in knowledge in understanding the concept of creating an android-based student attendance information system with appsheets and spreadsheets.

The development of an Android mobile application for automatic cataract detection using Convolutional Neural Network (CNN) and TensorFlow has been conducted. The aim of this research is to provide an easily accessible solution for the public to detect cataracts early, thereby reducing the negative impact of this eye condition. The CNN method is utilized to recognize cataract patterns through image data, with TensorFlow serving as the primary development platform. Preprocessing steps and data processing are implemented to enhance the detection accuracy and address variations in eye images. Evaluation indicates that the application is capable of detecting cataracts with satisfactory accuracy, making it a potential tool for cataract prevention and early management. In conclusion, this application enables rapid and efficient cataract detection, improving the accessibility of eye care and contributing to enhancing overall quality of life for communities by providing early intervention and treatment options.

The issue of illegal parking in Batam City has become a serious concern, where unofficial parking attendants often collect fees from drivers without contributing to the local government. This situation not only disrupts order and security but also harms local revenue (PAD). Illegal parking practices create discomfort for the public and reduce trust in the existing parking system. Moreover, it hinders the optimization of PAD potential that should be generated from a well-organized and orderly parking system. This research aims to develop a technological solution to address this issue by creating an Android application called Fast Parking System. The application is designed to improve parking system efficiency through a fast, secure, and transparent cashless payment system. By using this application, drivers can pay for parking digitally, reducing direct interaction with parking attendants and minimizing the potential for illegal fees. The application is also integrated with an official surveillance system, allowing local authorities to monitor parking activities in real-time and ensure that parking fees are directed to the local treasury. It is expected that the implementation of Fast Parking System will create a more orderly, safe, and efficient parking system. With this solution, the local government can not only increase transparency but also optimize revenue from the parking sector. In addition, the application offers greater convenience for the public in using well-managed parking facilities. The findings from this research can serve as a useful reference for the Batam City Government and other cities in Indonesia facing similar illegal parking issues. It can also be used as a guideline for developing more efficient and modern technology-based parking systems.

Dunstan Baby Language (DBL) identifies five distinct infant vocalizations (“neh”, “owh”, “eh”, “eairh”, “heh”), each associated with a specific need. An Android application, Madzas, translates these vocalizations, aiding caregiver understanding. This study, conducted within a Community Service (PKM) program focused on village community development, investigated the impact of Madzas on the accuracy of care provided to infants by first-time mothers in the Bangetayu Public Health Centre Service Area. This true experimental study, employing a case-control approach, was conducted in the Bangetayu Public Health Centre Service Area, Semarang city. The study population consisted of primiparous mothers with infants aged 1-3 months, with a sample size of 46 mothers selected using purposive sampling. The participants were divided into case and control groups. The data were analysed using the Mann-Whitney U test, revealing a statistically significant effect (p < 0.05) of using the Madsaz application on the accuracy of care provided by the mothers. The findings indicated a high accuracy rate (z = 2.094) in treatment decisions among the mothers who used the application, supporting the hypothesis that the application positively influences caregiving accuracy in the studied population.

This research presents a personalized, context-aware recommender system to suggest Places of Interest (POIs) using a hybrid approach combining Bayesian inference and collaborative filtering. The system explicitly addresses the cold-start problem that new users face and improves recommendation accuracy by considering contextual variables such as user mood, budget, companion, and location. The system collects real-time contextual inputs for new users with no historical data and applies Bayesian inference to generate relevant POI suggestions. As users begin to interact and provide ratings, the system progressively shifts to a collaborative filtering mechanism, leveraging cosine similarity to identify similar users within comparable contexts. The recommender system focuses on three categories of POIs: restaurants, hotels, and landmarks. These locations are retrieved through the Google Maps API, and only mapped locations are considered. The system was implemented on Android devices and evaluated through a user study involving 25 participants from diverse backgrounds, including software developers, IT students, and general users. Evaluation metrics such as normalized Discounted Cumulative Gain (nDCG) and classification accuracy were used to assess recommendation quality. Results demonstrate that the system performs better than traditional methods, with nDCG improvements reaching up to 83 percent. Users reported high satisfaction regarding the recommendations' accuracy, ease of use, and contextual relevance. While the system offers significant improvements, it also has certain limitations. Its dependency on Google Maps data may restrict its scope, and using only four contextual factors limits the system’s adaptability to more complex user preferences. Future enhancements could include additional dynamic contexts such as weather, POI popularity, and time-related trends, as well as integrating more advanced models to increase personalization and flexibility in real-world applications.

Traffic congestion and limited parking spaces in the tourist area of Jalan Braga, Bandung City, have become significant issues that require innovative solutions. This study aims to design and implement a Smart Parking System using Internet of Things (IoT) technology and a mobile application to enhance efficiency, transparency, and convenience in parking management. The system is designed to detect real-time parking availability using ultrasonic sensors integrated with microcontrollers, and deliver this information to users through an Android-based application. Additionally, the system features parking slot reservation, digital payment, and parking data management for operators. Test results show that the system can reduce the time needed to find parking by up to 40% and increase user satisfaction. The implementation of the Smart Parking System in Jalan Braga is expected to support smarter and more environmentally friendly urban mobility in Bandung City.

The phenomenon that occurs in the load lifting system is the need for an efficient and reliable mechanism to move the crane hoist pulley vertically and horizontally. This study aims to design and test a crane hoist system that uses a DC motor and a stepper motor controlled by an L293D motor driver, and to develop an application based on MIT App Inventor to control the movement of the motor. The research method used is integrated hardware and software design, followed by testing the performance of the motor, driver, and the application developed. Testing was carried out under limited load conditions, to measure the motor speed, voltage, and current used at loads of 10 to 100 grams. The results of the study showed that the system can function well at varying speeds, and the motor is able to lift a maximum load of up to 100 grams with a speed that decreases according to the weight of the load. The MIT App Inventor application successfully controls the motor effectively via a WiFi connection with a maximum distance of 10 meters, and loads the operation of the crane vertically and horizontally. This study proves that the designed system is able to work optimally in lifting and moving loads, and the application developed provides easy and efficient control.

The rapid evolution of digital technology has significantly impacted various sports, including niche ones like petanque. This study explores the perceived benefits and barriers of using an Android-based application for scoring and statistics management in petanque, a sport gaining popularity in Indonesia. Traditionally, performance assessment in petanque relied on manual, paper-based methods, prone to inaccuracies and inefficiencies. An Android app, Petanque Match Statistics, was developed to address these challenges, offering real-time data accuracy, improved workflow, and enhanced performance analysis. This study employed a quantitative approach, surveying 50 participants (35 players and 15 coaches) in Surabaya, Indonesia, to assess their impressions of the app's usability, accuracy, efficiency, and overall satisfaction. Results indicated high ratings across all parameters, with no significant differences between players and coaches. The app was commended for its intuitive design, reliability, and time-saving efficiency. Findings highlight the potential of digital solutions to modernise petanque match administration, enhance strategic decision-making, and improve the user experience. The study underscores the importance of user-centred design in facilitating the adoption of digital advancements in sports, offering valuable insights for future developments in petanque and other emerging sports.

Push Up is a physical activity carried out by individuals that aims to strengthen the muscles of the body, namely the muscles of the arms, shoulders and chest. Designing an IOT-based detection and monitoring system with the aim of making it easier for tool users to know the number of repetitions and the number of calories used automatically. Detectoring with the help of four proximity sensors to detect motion when doing push-ups and monitoring using an android application made specifically for the device. The component used is NodeMCU ESP8266 as a microcontroller. The parameters displayed in the application include a column of push-up repetitions, a column for the number of calories used, and a graph of increasing push-up repetitions. The tool testing method was carried out 15 times for data collection with 20 push-up repetitions for each data collection. The results of the test, obtained an error percentage of 1.33%. So that this tool can help users to monitor the repetitions that have been done and find out the amount of calories used.

This study aims to develop a Learning Management System (LMS) for kepalangmerahan management education in the Indonesian Red Cross Youth at SMK Wiworotomo Purwokerto The methodology employed is the Knowledge Management System Life Cycle (KMSLC) with the Meyer and Zack cycle approach, along with the spiral knowledge model by Nonaka and Takeuchi. Network infrastructure involves the internet, wireless access points, and private internet networks. Hardware and software include android devices with browser applications. Resource and data identification is carried out through discussions, interviews, and data entry, utilizing sources from PMR trainers, the Indonesian Red Cross website, and scholarly literature. The Knowledge Management (KM) team consists of PMR trainers, LMS developers, administrators, and PMR members. The system is implemented using WordPress and the TutorLMS plugin, with verification and validation testing conducted through black box testing. The research results demonstrate the successful development of the kepalangmerahan management education LMS in PMR SMK Wiworotomo Purwokerto, with a specific focus on disaster management education materials. This study contributes to improving effective learning access within PMR.

The introduction of hijaiyah letters in early childhood is an important stage in building the basis for learning the Qur'an. This research aims to develop an interactive game called Al-Dhaki which is designed to help parents and early childhood education teachers in introducing hijaiyah letters to children in an interesting and effective way. This game is designed using quantitative research methods to analyze user needs, with a 5W+1H approach (What, Why, Who, When, Where, and How) in data collection and analysis. The results of the study show that game-based interactive learning media can increase children's interest in learning and simplify the process of recognizing hijaiyah letters. Al-Dhaki is developed in the form of an application file (APK) that can be installed on Android devices, making it easily accessible to users. The game is equipped with interactive features, such as sounds, animations, and simple quizzes, to increase children's engagement in learning. With the presence of Al-Dhaki, it is hoped that the process of recognizing hijaiyah letters will be more fun and effective, as well as providing practical solutions for parents and PAUD teachers in supporting the development of religious literacy in early childhood.

The XYZ Health Center faces challenges in managing the outpatient registration process manually, often resulting in long queues, extended waiting times, and data inaccuracies. To address these issues, this study aims to design and develop an Android-based outpatient registration application. The application is intended to simplify the registration process for patients, allowing them to register for visits without needing to visit the health center in person, while also enabling healthcare staff to manage patient data more efficiently. The methodology employed in this study includes requirements analysis and system design using the Unified Modeling Language (UML). The application features online registration, doctor schedules, visit reminder notifications, and patient data management. This study concludes that the Android-based application can serve as an effective and efficient solution for improving health center services. Further development is recommended to enable integration with other healthcare systems.

Some people choose to use gadgets instead of books or other printed media. Public awareness of the dangers of ingredients containing synthetic chemical substances in cakes has gradually begun to open and be awakened. People are now starting to like to make their own cakes because it saves money and is healthier. Making your own cake can also hone people's creativity because innovation is not only for the world of technology but with this creativity it can generate income for housewives. However, the current problem is that housewives living in the Batu Bara area do not understand how to make cakes to increase income in their household, even though by using Android-based smartphones they can be creative in making cakes. The purpose of this research is to create an Android-based cake tutorial application to increase the business income of housewives in the Batu Bara area. The data used in this study are in the form of cake type data, material data, and data on the cake-making process, the results obtained from this study are in the form of an application that can provide information on the ingredients used in making cakes and the steps taken to make cake.

This study aims to identify the problems faced by students in implementing learning. This study used a quantitative approach with a survey method, involving 30 students from two high schools in Yogyakarta. Data were collected through questionnaires about students' learning difficulties, interests, and needs for learning media. The results showed that 96% of the students considered chemistry as a difficult subject to understand because of the abstract nature of the material. As many as 64% of the students felt bored due to the uninteresting presentation of the material, while 72% of the students indicated the need for varied learning methods and interactive learning media to facilitate understanding. The results of the study showed that an innovation was needed to support chemistry learning activities to make learning more active and enjoyable so that it does not lead to student boredom. The developed virtual laboratory media provides flexible, safe and economical simulation of chemical experiments. This application is designed to be accessible without an internet connection using an Android device, allowing students to learn anytime and anywhere. The use of this virtual lab is expected to increase students' motivation, understanding of concepts, and learning experience.

One of the museums found in Bali is Subak museum in Tabanan Regency. The establishment of this Museum aims to preserve the traditional institution called Subak as a noble national cultural heritage, and to introduce to the younger generation and foreign tourists about the unique traditional irrigation system in Bali. Lack of supporting facilities in delivering information, making tourists who visit Subak Museum have minimal information. The solution needed in Subak museum is an Android-based E-Tourism application that is supported by Qr-Code technology so as to provide an interesting presentation of data. In making this application using the development of the Waterfall method and designed using the Unified Modeling Language (UML) with the Java programming language for Android and PHP for web services, and MySQL as a database. So that produced an android-based system in Subak museum Tabanan Regency. Based on the results of the tests carried out it can be concluded that the black box testing system functions have been running according to the planning. Then the result of the testing of users using questionnaires generated Application Benefits scores 90.8%, Ease of 86.93%, Interface 82% and Content 90.2%. 

The advancement of information technology has driven the need for more effective and efficient attendance systems, especially for companies with a distributed workforce. PT. Asia Sinergi Solusindo faces challenges in managing employee attendance in real-time based on predefined work locations. This study aims to design a location-based attendance application system utilizing Global Positioning System (GPS) technology to ensure employees can only mark attendance at locations specified by the administrator. The system was developed using the *waterfall* software development methodology, encompassing requirements analysis, system design, implementation, and testing. The application was built on the Android platform with cloud-based database integration to centrally store attendance data. The results show that the system enhances attendance data accuracy, reduces fraud risks, and facilitates real-time employee attendance monitoring. Thus, this application is expected to provide an effective solution to support attendance management at PT. Asia Sinergi Solusindo.

Mobile operating systems are software designed to manage the fundamental functions of devices. The most dominant mobile operating systems in today's market are Android and iOS, each capturing their respective user segments with distinct approaches. iOS is a mobile operating system developed by Apple, tailored for its smartphones, while Android is designed by the Open Handset Alliance (led primarily by Google) and developed for Android smartphones and tablets. This study employs a comparative method to analyze the performance and memory management of Android 11 and iOS 14. The findings reveal that iOS 14 is more efficient, with an average memory allocation time of 90 ms, compared to Android 11’s 120 ms. Android 11 offers greater flexibility in handling heavy applications but at the cost of higher memory consumption. Conversely, iOS 14 demonstrates superior efficiency and stability in memory usage, particularly for lightweight and medium applications.

This research aims to improve the understanding of Fiqh subject on mandatory bathing material for fourth-grade students at MI At Thayyibah Banjar Regency through the implementation of the Student Teams Achievement Division (STAD) cooperative learning model with audiovisual media integration. The research subjects were 15 fourth-grade students consisting of 8 male and 7 female students. This study used a classroom action research approach with the Kemmis and McTaggart spiral model conducted in two cycles. Data collection techniques included participatory observation, comprehension tests, semi-structured interviews, and documentation. The results showed a significant improvement in student understanding, marked by an increase in classical mastery percentage from 40% in the pre-cycle to 67% in the first cycle and 87% in the second cycle. The class average score also increased from 68.7 in the pre-cycle to 75.8 in the first cycle and 83.2 in the second cycle. Student learning activities increased from 39.2% in the pre-cycle to 65.4% in the first cycle and 85% in the second cycle. The implementation of the STAD cooperative learning model with audiovisual media proved effective in improving student understanding through creating a collaborative learning environment, concrete material visualization, and active student involvement in knowledge construction. This research provides important implications for developing more innovative and contextual Fiqh learning strategies at the Islamic Elementary School level.

Education plays a crucial role in optimally developing and directing students' potential. In the current educational context, learning outcomes are assessed based on students' abilities to solve problems, reason, communicate, and demonstrate knowledge and attitudes. However, preliminary studies at MAN 1 Banjarmasin revealed that only 62.85% of the XI Agama class students met the Minimum Completeness Criteria (KKM) of 75 in Fiqh subjects, while the rest failed. This study aimed to improve learning outcomes in the topic of Mawaris by using an Android-based learning media, the "Kalkulator Waris" application. This Classroom Action Research (CAR) was conducted through two cycles following the model proposed by Arikunto, comprising planning, action, observation, and reflection phases. In the first cycle, the average student score was 73.63 with a 62.85% success rate. After refining the learning process, the second cycle showed significant improvement: the average score rose to 88.17, and all students (100%) achieved mastery. The use of the "Kalkulator Waris" application facilitated students’ understanding of complex inheritance calculations, enhanced learning engagement, and fostered a more active, creative, and problem-solving learning environment. The findings suggest that appropriate use of Android-based educational applications can significantly enhance learning outcomes, particularly in complex subjects like Islamic inheritance law.

Rice pest control is one of the main challenges in the agricultural sector in Indonesia. Pests such as planthoppers, stem borers, and rats can cause significant losses to crop yields. Currently, many farmers have difficulty identifying pest types and how to control them quickly and effectively. Therefore, a technological solution is needed that can detect pests directly and provide recommendations for action. This study aims to design an Android-based application that is able to detect types of rice plant pests using visual images and provide recommendations for handling. This application is designed using digital image processing methods and is supported by a large pest database. This technology is expected to be an efficient and practical solution for farmers. The research method used in developing this application is a qualitative method, involving interviews with farmers, agronomists, and data collection related to pests and their damage patterns. This application utilizes AI-based pattern recognition technology to detect pests through photos taken directly by farmers. The results of the study showed that this application was able to detect several types of major pests with an accuracy of up to 85%. In addition, this application provides recommendations for handling steps based on guidelines from the Ministry of Agriculture. The trial showed that this application can help farmers identify pests faster than manual methods. The main contribution of this research is to create a technology-based solution to agricultural problems in Indonesia, especially in the rice sector. With this application, farmers can increase their yields through early identification and proper pest management. In future implementations, this application will continue to be developed to detect additional pests and expand its database. It is hoped that this application can be an important tool in supporting smart farming in Indonesia.