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This community service activity addresses the growing need for adaptive education in the digital era by focusing on strengthening the character and competence of students in line with rapid technological developments. The Pancasila Student Profile, which serves as the foundation of the Merdeka Curriculum, outlines six core dimensions: faith and piety, global diversity, cooperation, independence, critical reasoning, and creativity. Among these, creativity, independence, and critical thinking are crucial for preparing students to become innovators and problem-solvers in the digital world. However, schools in developing regions often face limitations in implementing these dimensions due to lack of resources and digital literacy. This program was implemented at SMA Negeri 2 Sorong Regency with the objective of strengthening the Pancasila Student Profile by providing training in the use of Thunkable, a visual programming platform for creating drag-and-drop mobile applications. The activity used a Project-Based Learning (PjBL) approach, enabling students to actively engage in designing simple educational applications that align with their learning context. The method encouraged hands-on exploration, teamwork, critical analysis, and creative thinking. Throughout the training, students not only learned how to navigate the Thunkable platform but also developed functional mobile apps addressing real-life learning challenges. The outcomes of the program showed a marked improvement in students’ digital literacy, problem-solving ability, innovation, and collaboration. Furthermore, students began to view themselves not just as consumers of technology but as producers of meaningful digital solutions. This initiative demonstrates that integrating digital technology with project-based learning can effectively support the implementation of the Pancasila Student Profile, even in remote or underdeveloped areas. It provides evidence that with the right approach and tools, students can be empowered to become digitally literate, creative, and socially responsible individuals who are ready to act as agents of change in the 21st century.

This service program aims to provide mentoring to students of SMK Negeri 3 Sorong through the utilization of mobile learning technology using the Thunkable application. Thunkable is a drag-and-drop-based platform that allows users to design interactive mobile applications without complex programming. The mentoring program was designed to enhance students’ digital literacy, foster creativity, and strengthen their understanding of subject materials through the development of self-made interactive media. The method employed in this activity involved a participatory approach, including workshops, technical guidance, and learning outcome evaluations. The results showed that students were able to develop simple applications tailored to their learning needs and demonstrated increased motivation and independence in the learning process. Furthermore, students gained hands-on experience in designing and implementing technology in practical contexts. This approach has proven effective in bridging the gap between the school curriculum and the technological skills required in today’s workforce. Therefore, using Thunkable as a mobile learning tool presents an innovative alternative in vocational education and training.

Pulmonary tuberculosis (TB) remains a major public health concern in Indonesia. Active family involvement in both prevention and treatment is crucial; however, many families have yet to fulfill their health-related responsibilities effectively. This study aimed to evaluate the effect of health education through the IKAT TB (Tuberculosis Health Information) application on family health responsibilities in the prevention and treatment of pulmonary TB. A pre-experimental design with a one-group pretest-posttest approach was used. The sample consisted of 46 respondents selected through total sampling. The intervention involved providing education via the IKAT TB application, and data were collected using a family health responsibility questionnaire. Data were analyzed using the Wilcoxon Signed Rank Test. The results showed an increase in family health responsibility scores following the educational intervention. The Wilcoxon test produced a p-value of 0.000 (p < 0.05), indicating a significant difference between pre- and post-intervention scores. The findings suggest that health education delivered through the IKAT TB application is effective in enhancing family engagement in TB prevention and treatment. Digital media platforms such as mobile applications offer accessible information and can strengthen family involvement in TB care.

KSPPS BMT Dana Mentari Purwokerto faces tight competition with other cooperatives such as PNM Mekar Sudagaran Sidareja in supporting MSMEs through sharia financing. This study analyzes the competitive position of BMT Dana Mentari using the Competitive Profile Matrix (CPM) and formulates a sharia-based business strategy. A descriptive qualitative approach is applied with data from interviews (May 2025), observations, and documents (OJK, 2025). The CPM results show that BMT Dana Mentari has a score of 3.25, superior to PNM Mekar (3.05), with strengths in sharia compliance and personal service. The main weakness is digital technology. The proposed strategies include digitalization of mobile applications (2026) and development of musyarakah products, in accordance with the itsar principle. This study provides guidance for sharia cooperatives to increase the competitiveness and empowerment of MSMEs.

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.

In the digital era, home security has become a crucial aspect with the increasing risk of theft due to the weaknesses of traditional lock systems. This study develops an automatic door security system based on the Internet of Things (IoT) by integrating Radio Frequency Identification (RFID) technology and mobile applications. This system allows users to lock and unlock the door and monitor the door condition and battery power in real-time from a distance. To increase flexibility and security, this system also utilizes the Mamdani Fuzzy logic method in decision making, based on parameters such as battery power, user distance from the door, and environmental security level. With this approach, the system can dynamically adjust access according to the situation. The test results show that the developed system is able to provide a more efficient, secure, and adaptive security solution compared to conventional locks, as well as providing better convenience and control for users in managing home security intelligently and integratedly.  

Integrated public services in a one-stop service system, such as the one implemented at the Mal Pelayanan Publik (MPP) Badung, serve as an answer to the public's demand for efficient, fast, and transparent bureaucracy. However, in its implementation, MPP still faces various strategic challenges, such as fragmentation between agencies, limited human resources, and suboptimal digital system integration that supports cross-sector services. This study aims to analyze adaptive and collaborative managerial strategies to address these challenges and explore digital innovation opportunities to improve service quality. By using a literature review method from various journals, policy reports, and supporting documents, this study shows that the success of the one-stop service system greatly depends on visionary leadership, synergy between agencies, and adequate technological support. The discussion concludes that flexible, responsive managerial strategies that emphasize cross-agency collaboration can enhance efficiency and user satisfaction. Therefore, updating digital systems, involving the community, and improving human resource capacity are crucial steps in realizing modern and sustainable public services. Another key factor for success is the adoption of innovative digital technologies. By investing in digital infrastructure, MPP can automate many of its processes, reducing paperwork, speeding up response times, and ensuring better coordination between departments. The development of user-friendly platforms and mobile applications will also allow citizens to access services more easily, improving their satisfaction. Additionally, involving the community in the decision-making process through feedback and engagement mechanisms can help identify areas for improvement and tailor services to better meet the public's needs. To ensure long-term success, continuous capacity building for human resources is essential. Well-trained staff, equipped with the skills and knowledge to operate advanced systems, will be able to provide higher-quality services.

The rapid penetration of mobile devices among students has created significant opportunities to optimize mobile-assisted language learning (MALL) for enhancing language acquisition in digital environments. Despite its potential, the implementation of MALL often remains suboptimal due to technical limitations, lack of pedagogical planning, and insufficient integration of interactive features, which limits its effectiveness in supporting structured learning. This study aims to examine how MALL applications influence student engagement, self-regulation, and language learning outcomes, while addressing the gap between technological affordances and instructional practices. Employing a mixed-methods design, the research integrates quantitative surveys, learning analytics, and qualitative interviews with higher education students who regularly use mobile applications for language learning. The methodology includes pre- and post-surveys to measure changes in engagement and self-regulation, log data to track usage patterns, and interviews to capture students’ perceptions and experiences. The findings reveal that MALL significantly enhances engagement through increased active participation, higher attendance, longer study duration, and more frequent interaction with materials. At the same time, MALL improves self-regulation by strengthening skills in time management, goal setting, monitoring progress, and maintaining persistence, leading to greater learner autonomy. Moreover, students with stronger self-regulation capacities were found to utilize MALL features more effectively, resulting in measurable improvements in vocabulary, grammar, and communicative competence. The study concludes that MALL’s effectiveness lies not only in delivering learning content but also in fostering engagement and supporting self-regulated learning. These results highlight the need for pedagogical designs that integrate technological interactivity with scaffolding strategies to maximize the potential of MALL as a learner-centered and sustainable approach to language learning in the digital era.

Human Resource Management (HRM) is a very important part of an organization. In the digital era, HRM can be done more efficiently through mobile applications that allow access to employee data, HRM processes, or online attendance. However, the ability of an HRM mobile application to succeed depends on the usability factor or ease of use by users.  Talenta is one of Mekari's business platforms that provides a complete solution for all Human Resources (HR) and payroll management issues. Talenta is an application that will be used for Usability Testing using Cognitive Walkthrough. The initial stage in starting Usability Testing on the mobile-based Talenta application with the Cognitive Walkthrough method begins with conducting a literature study, learning the system or application, then making scenario questions based on the system. Then, respondents will be asked to complete the scenario questions. The scenario data collected includes; data on success in completing the scenario, data on errors in completing the scenario, and data on the time required to complete the scenario. Finally, the interview stage will be continued with the respondents on the scenarios that have been carried out. The scenario and interview data will be analyzed to calculate the effectiveness and efficiency aspects of the Talenta application. After the analysis stage, users will be given a System Usability Scale (SUS) questionnaire to be answered using Google Form using a Likert scale. The results of the questionnaire will be analyzed using SUS calculations, and then suggestions and conclusions will be given in the aspect of user learning ability. After usability testing of Talenta mobile application using Cognitive Walkthrough and SUS methods, the following results were obtained: 78% effectiveness; 0.10 seconds efficiency; and 67 learning ability level. Talenta has met the usability criteria for mobile applications in general, including effectiveness and efficiency in using the ISO 9241-11 model. However, there are still shortcomings in the user learnability level. To improve the usability of this application, it is recommended to change the layout, menu, add features, as well as clarify some display features.

The rapid advancement of information and communication technology has transformed and opened business perspectives and operations, particularly in UMKM the photography industry. As the demand for online photography services continues to rise, it is crucial for service providers to develop efficient information systems to manage photo sales effectively. The research titled "Development of the POVSHOT Mobile Application for Online Photo Sales Using Flutter and MySQL" aims to facilitate online photo sales through the implementation of Flutter technology and a MySQL database. The findings indicate that the "POVSHOT" application successfully integrates features such as photo uploading, payment management, and user administration within a user-friendly interface. This study suggests that the use of mobile applications can enhance security in the photo sales process and provide a better experience for users. The implications of this research highlight that photography service providers can leverage mobile technology to expand their market reach and improve customer satisfaction through a more integrated and responsive system.

Road infrastructure is a vital element in supporting economic, social, and transportation activities in a region. Labuhan Batu Utara Regency faces challenges in managing and maintaining road conditions, especially in hard-to-reach areas. This article presents a recent literature review from the past five years on the application of Geographic Information Systems (GIS) for mapping and managing road conditions. The discussion covers technological innovations such as drone usage, machine learning, and crowdsourcing integration within GIS. Additionally, several international and national case studies are referenced to provide insights into the challenges and opportunities of GIS implementation. This article recommends strategies such as open-source GIS implementation, integration with mobile applications, and regular data updates to support efficient road condition management in Labuhan Batu Utara Regency. 

Stress and burnout among healthcare workers represent a global crisis with significant implications for psychological and physical health, job performance, and interpersonal skills. These conditions are linked to anxiety, depression, suicidal ideation, substance use, poor quality of life, digestive disorders, and cardiovascular diseases. Burnout is characterized by emotional fatigue, depersonalization, and reduced personal accomplishment, often caused by chronic workplace stress. Factors such as demographics, fatigue, and resilience influence its development and severity. Traditional stress management interventions, such as counselling and leave, often prove insufficient in addressing these challenges. Recent advancements in Artificial Intelligence (AI) provide innovative tools for stress and burnout management, including mobile applications offering mindfulness, meditation, and self-care resources. AI systems like IBM Watson and Google DeepMind are being tested to enhance accessibility and effectiveness in stress management. Additionally, Stress Inoculation Training (SIT), involving methods such as meditation, yoga, cognitive-behavioural therapy, and biofeedback, has been recognized as a proactive approach to mitigating stress. This review explores the factors contributing to stress and burnout in healthcare workers and evaluates interventions aimed at improving well-being and productivity, emphasizing the potential of AI and SIT in preventing and managing these conditions.

In the rapidly evolving digital era, the use of mobile applications has become a fundamental necessity across various sectors, including the construction industry. PT Home Center Indonesia, which specializes in providing and installing furniture for building projects, faces challenges in the QC Pass Land recording process, which is currently done manually. This practice poses risks of data loss, miscommunication with vendors, human errors, and data invalidity, ultimately disrupting work efficiency. This study aims to develop a mobile application to replace the manual recording system in the QC Pass Land process for the Sky House BSD project. The application is designed to enhance the efficiency, accuracy, and reliability of data recording while minimizing the risk of information loss through the implementation of a structured digital system. Additionally, the application is equipped with a feature that allows the inclusion of photo evidence, thereby improving data validity. The results of developing this mobile application are expected to accelerate the recording and furniture installation process, reduce the time required for data verification, and provide a solution that can be implemented in future projects. Through this practical work, the implementation of the application is anticipated to run effectively and contribute significantly to improving the QC Pass Land process at PT Home Center Indonesia.

This research explores the use of Augmented Reality (AR) in the prototyping of product design, focusing on mobile applications for e-commerce. The aim of this study is to evaluate how AR can enhance the prototyping process in product design, improve efficiency, and facilitate better interaction between designers and end-users. The research method involves developing a mobile application prototype with AR and testing it with end-users. The results indicate that AR accelerates the design process, improves visualization accuracy, and enhances design communication. This study provides insights into the benefits and challenges of using AR in product design.

With the rising demand for ubiquitous internet access, there is a growing need for technologies that allow users to remain connected to their home broadband network even when outside the house. This paper explores several proposed solutions, including advanced routers, VPNs, mobile applications, mesh networking, and hybrid cloud routers, that enable remote access to home networks. These technologies offer the potential to provide seamless, secure, and affordable connectivity, especially for individuals in rural or remote areas This innovation offers significant implications for rural internet connectivity and broader networking technology advancements. Additionally, the paper explores the societal and economic impacts of these technologies, particularly in underserved regions. By reducing dependence on expensive mobile data and providing secure, continuous internet access, these solutions can help bridge the digital divide in rural and remote areas. Improved connectivity fosters opportunities for education, remote work, and economic development, enhancing quality of life. Furthermore, advancements in hybrid cloud routers and mesh networking have the potential to drive innovation in the telecommunications industry, leading to more robust, scalable, and cost-effective networking solutions. The research underscores the need for further development and widespread implementation of these technologies to address existing internet accessibility challenges.

Geographic Information Systems (GIS) have become essential technological tools for collecting, storing, processing, analyzing, and visualizing spatial data to support various human activities. The rapid advancement of information technology has significantly expanded the use of GIS, particularly through web-based platforms and mobile applications, enabling wider accessibility and real-time data utilization. This study focuses on analyzing the utilization of GIS applications and websites across multiple sectors and their contributions to improving efficiency, accuracy, and decision-making processes in daily life. The main objective of this research is to identify, evaluate, and synthesize recent developments in GIS implementation through a systematic literature review. Scientific articles were collected from reputable international and national journals published within the last five years (2018–2022). A total of 130 international journals and 100 national journals were initially identified through database searches. After applying relevance screening and inclusion criteria, 33 selected articles were analyzed in depth to extract key findings, application trends, and potential research gaps. The results show that GIS applications and web-based systems play a vital role in supporting various sectors. In education, GIS facilitates spatial mapping for industrial internship placement (PRAKERIN) and school zoning management. In healthcare, GIS assists in mapping healthcare facilities, including pharmacies and hospitals, to improve service accessibility. In transportation, GIS-based systems provide route planning, traffic monitoring, and public transport information to enhance mobility and reduce congestion. GIS applications are also increasingly applied in environmental monitoring, disaster management, urban planning, and natural resource management. Overall, this study emphasizes the growing importance of GIS technologies as strategic tools for data-driven decision-making and sustainable development. The findings are expected to provide valuable insights for researchers, practitioners, and policymakers in optimizing GIS-based solutions to improve public services and quality of life.

Waste Bank is an institution that plays an important role in waste management. Kedungmaling village is a village located in Mojokerto district, East Java province, Kedungmaling Waste Bank was established in 2019 and its head is the PKK organization of Kedungmaling village. Some research has been conducted with a case study of a Waste Bank to improve the performance of waste banks that still carry out their business processes conventionally. Most previous research focused on making waste bank applications but still used Kotlin programming language and fire base web service as the database. This research uses the React Native framework to create mobile applications and uses the Rest API as a database. The application design uses the SDLC method with a waterfall model. Application testing using black box gets a percentage of 97% of 89 scenarios and Rest API testing assisted by the postman application gets a percentage of 100% of 94 scenarios. With this application, it can help officers in managing waste and facilitate customers in managing their balances.

This study explores the potential of mobile educational applications to enhance student-centered inquiry-based learning (IBL) in secondary school classrooms. As traditional, teacher-centered pedagogies fail to adequately engage students in critical thinking and problem-solving, IBL offers a promising alternative that encourages active participation and deeper learning. The research investigates how mobile applications can support IBL by facilitating the inquiry process, such as data collection, hypothesis formulation, and collaboration. Through a quasi-experimental design involving secondary school students, the study compares the effectiveness of traditional teaching methods and mobile-assisted IBL. Results indicate that students using mobile applications showed significant improvements in critical thinking, engagement, and academic performance compared to those taught through traditional methods. Teachers and students both reported high satisfaction with mobile apps, particularly in terms of ease of use and educational value. The findings suggest that integrating mobile technologies into the classroom can create more interactive, accessible, and personalized learning experiences, fostering critical thinking and enhancing student outcomes. However, challenges related to infrastructure, teacher training, and digital literacy must be addressed to fully harness the potential of mobile-assisted inquiry-based learning.

The Gulf Cooperation Council (GCC) region has experienced tremendous growth in the higher education sector with many public but internationally recognized universities, colleges, and programs. Annually, within and outside of the GCC zone, high school students and guardians undergo repeatable and time-consuming experiences for inhomogeneous university, college, and program admission and tracking processes. This research project aims to provide a unified management tool to manage the admission and tracking process to multiple accredited GCC universities, colleges, and programs through one unified central mobile-based application. The research project aimed to achieve two objectives: exploring the GCC university admission process phenomena and developing and evaluating a unified mobile-based university admission application (denoted by HEIM) for higher education institutes' mobile applications. An Agile-SDLC methodology was employed, entailing two phases; the Exploratory phase to the phenomena of the university admission process and the development and evaluation phase of the potential mobile application. The 1st phase was based on an interview with the Ministry of Education (MOE), employing SLR and CA techniques for articles and mobile applications collection and analysis, and 1st questionnaire to collect user requirements. The 2nd phase employed several design techniques, including DFD, ERD, etc., a 2nd questionnaire to collect system requirements and coding by .NET MAUI, C#, and XAML, and a 3rd questionnaire to evaluate the usability of HEIM based on Nielsen heuristics at which the empirical findings revealed 97.7% of usability.

Plant disease is one of the problems in the world of agriculture. Early identification of plant diseases can reduce the risk of loss, so automation is needed to speed up identification. This study proposes a custom-designed convolutional neural network (CNN) model for plant disease recognition. The proposed CNN model is not complex and lightweight, so it can be implemented in model applications. The proposed CNN model consists of 12 CNN layers, which consist of eight layers for feature extraction and four layers as classifiers. Based on the experimental results of a plant disease dataset consisting of 38 classes with a total of 87,867 image records. The proposed model can get high performance and not overfitting, with 97%, 98%, 97% and 97%, respectively, for accuracy, precision, recall and f1-score. The performance of the proposed model is also better than some popular pre-trained models, such as InceptionV3 and MobileNetV2. The proposed model can also work well when implemented in mobile applications.