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This study investigates the performance of Internet of Things (IoT)-based monitoring systems using a mobile hotspot and IoT sensors for temperature and humidity data transmission. The research is based on the IoT concept, which enables electronic devices to communicate and exchange data through internet networks without direct human intervention. System performance was evaluated using standard Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. The experimental setup utilized a NodeMCU ESP32 microcontroller and a DHT22 sensor, with measurements conducted at various transmission distances through wireless communication media. The objective was to determine the reliability of hotspot connectivity and sensor communication in supporting IoT applications. The results indicate that the optimal performance was achieved at a distance of 20 meters using a 40-lambda variation. Furthermore, the communication signal between the ESP32 device and the mobile hotspot remained detectable up to a maximum distance of 32 meters. These findings demonstrate the effectiveness of the proposed IoT system for environmental monitoring applications within specific transmission ranges.

This study examines the effect of digital banking transformation on financial inclusion in emerging economies, using Indonesia as a case study. Digital banking transformation refers to the technological development of banking services, including accessibility, transaction speed, system security, service integration, and the availability of user-relevant financial features. Financial inclusion is defined as individuals’ ability to access, use, and benefit from formal financial services in an easy, secure, affordable, and sustainable way. This research employs a quantitative explanatory design. Data were collected through structured questionnaires distributed to users of mobile banking, internet banking, digital bank applications, and digital payment services in Indonesia. Respondents were selected using purposive sampling with criteria of being at least 17 years old, residing in Indonesia, and having used digital banking services within the last six months. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that digital banking transformation has a positive and significant effect on financial inclusion, with a path coefficient of 0.684, a t-value of 14.276, and a p-value of 0.000. The R-square value of 0.468 shows that 46.8% of the variance in financial inclusion is explained by digital banking transformation. These findings suggest that digital banking expands access to financial services, increases usage of formal financial products, and reduces barriers related to distance and cost. However, its effectiveness still depends on digital literacy, security, trust, infrastructure, and consumer protection. The study implies that banks and regulators should strengthen inclusive, secure, and affordable digital financial services for underserved communities.

Usability evaluation plays a crucial role in ensuring the quality of digital systems, particularly in terms of comfort, effectiveness, and ease of use. Instruments such as the System Usability Scale (SUS), User Experience Questionnaire (UEQ), and Heuristic Evaluation (HE) are widely used in modern usability studies. This research conducts a Systematic Literature Review (SLR) to identify patterns and trends in the use of these instruments. A total of 27 initial studies were collected, and 16 were selected through the PRISMA screening procedure. The findings show that UEQ is the most frequently used instrument, especially in Learning Management Systems (LMS) and academic platforms, while SUS is commonly applied to mobile applications and digital libraries for rapid usability assessment. HE is effective in revealing fundamental interface issues such as non-intuitive navigation and layout inconsistencies. Overall, digital systems perform well in Efficiency and Perspicuity, but consistently show low scores in Novelty. This study provides an integrative knowledge map that highlights cross-instrument insights and supports the development of more intuitive, innovative, and user-centered digital systems

The increasing use of mobile applications in the retail industry has generated a large volume of user reviews that contain valuable insights regarding customer experience and service quality. However, the unstructured nature of these reviews requires an automated approach to extract meaningful patterns efficiently. This study aims to perform sentiment analysis on user reviews of the Indomaret Poinku application by integrating lexicon-based labeling with machine learning classification. A total of 10,000 reviews were collected from Google Play Store and processed through a series of text preprocessing steps, including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was performed using the Indonesian Sentiment Lexicon (InSet), producing three sentiment classes: positive, negative, and neutral. The labeled data were vectorized using CountVectorizer and classified using two algorithms: K-Nearest Neighbors (KNN) and Random Forest (RF). Evaluation results show that Random Forest outperforms KNN, achieving an accuracy of 82.5%, compared to 69% for KNN. Random Forest demonstrates superior performance in handling high-dimensional sparse text features and yields more stable predictions across sentiment classes. This study contributes to the growing body of research on Indonesian sentiment analysis by demonstrating the effectiveness of combining lexicon-based labeling with ensemble learning methods, offering practical implications for developers seeking to improve the quality and user satisfaction of digital retail applications.

Abstract: The digital era demands that every individual possess visual literacy competencies, but in Islamic boarding schools (pesantren), access to technology is often limited to maintain focus on worship. The main problem at the Salafiyah Al-Furqon Islamic Boarding School in Sawangan, Magelang Regency, is the digital skills gap among 12th-grade students. This is caused by the boarding school's policy of only allowing mobile phone use during semester breaks, leaving students lacking practical multimedia skills prior to graduation. This community service activity aims to provide a solution through basic photography and videography training as a soft skill for alumni independence. The method used is a workshop that combines theoretical explanations and direct practice (experiential learning). The results of this activity show a significant increase in students' technical competency; participants are able to operate smartphone cameras with stable shooting techniques, understand the principles of visual composition (such as the rule of thirds and leading lines), and are able to perform basic video editing using mobile-based software applications. Through this training, Islamic boarding school graduates are expected to become individuals who are adaptive to technological developments and able to utilize visual media as a means of creative economics and digital da'wah after graduation.

The rapid development of information technology has had a significant impact on the world of education, particularly in the use of mobile applications as learning media. Developing Android-based applications using Flutter is one innovation that can increase efficiency and provide a more personalized and adaptive learning experience. In this context, educators are required to continue innovating to meet the increasingly diverse and dynamic needs of students in the digital era. The Multimedia and Information Technology Professional Association (PPMultindo), an organization that brings together technology professionals, is taking advantage of this opportunity by developing an Android-based learning platform. This platform is designed to provide easier, more flexible, and more interactive access to learning materials, as well as support the process of designing more engaging materials. Features such as learning data analysis, material recommendations, and automatic evaluation are expected to increase the effectiveness and efficiency of the teaching and learning process, while also providing a means for collaboration between members. However, the implementation of this technology still faces various challenges, such as limited technological competence of educators, inadequate infrastructure, and the need for curriculum adjustments. Therefore, collaborative efforts are needed to optimize the use of mobile technology to support educational transformation.

Christian Religious Education (PAK) learning is undergoing significant changes in the Digital 5.0 era with the utilization of technology as the main support. This study explores the challenges in Christian learning and explores technological solutions that can improve student engagement and material comprehension. Through the literature study, the main challenges identified include the limitations of traditional learning resources and the lack of attractiveness of the materials. Solutions are proposed by integrating E-Learning, Virtual Reality, Augmented Reality, and mobile applications in the curriculum. Teacher training and support from the community and church are key in implementing this approach. Continuous evaluation and problem solving are the focus to ensure success and sustainability. The results show that technology contributes significantly to creating an interactive and relevant learning environment, building a solid foundation for increased student engagement and understanding of Christian teachings. By stepping with technology, this article presents a foundation for enhancing Christian Religious Education learning amidst the dynamics of the digital world

The limited availability of integrated digital tourism information in Blitar Raya has made it challenging for visitors to plan their travel routes efficiently. This research aims to develop an Android-based Geographic Information System (GIS) that integrates the Google Maps API with the Bellman-Ford algorithm to optimize the shortest travel routes among tourism destinations. The system was developed using the Rapid Application Development (RAD) methodology, emphasizing user involvement through iterative prototyping and feedback. Primary data were collected from field observations, semi-structured interviews with tourists and local administrators, and beta testing involving 52 respondents, while secondary data were obtained from the Blitar Tourism Board and BPS statistical databases. The implementation integrates the Google Distance Matrix API to construct a weighted graph, which is processed by the Bellman-Ford algorithm, demonstrating higher route stability and accuracy than the Dijkstra and Haversine approaches in small-to-medium graph structures. The system achieved an 84.46% user acceptance rate, categorized as “Excellent” according to the ISO/IEC 25010 usability standard. Empirical findings show that the average response time of 1.5–2.5 seconds indicates high computational efficiency for real-time map rendering. This study contributes theoretically by presenting an algorithmic integration framework for mobile GIS applications and practically by offering a functional digital tourism platform to enhance local tourism management. The findings also suggest that combining RAD with algorithmic optimization can effectively bridge the gap between user experience and computational performance in tourism-based GIS systems.

Education involves acquiring knowledge and skills, with English learning being a skill-based process that requires consistent and engaging practice. In the digital era, mobile applications have emerged as effective tools to overcome traditional limitations in language learning. This study investigates the effectiveness of the Duolingo application in enhancing English vocabulary among university students. A pre-experimental one-group pretest-posttest design was employed involving 40 first-semester Pharmacy students at Anwar Medika University. Participants engaged in daily Duolingo practice (20 XP per day) for 30 consecutive days. Data were collected through vocabulary pretest and posttest as well as a Likert-scale questionnaire. Quantitative analysis revealed a significant improvement in vocabulary scores, with the mean score increasing from 57.25 in the pretest to 81.70 in the posttest. Questionnaire results indicated high student motivation, positive perceptions of the app’s usefulness and ease of use, and minimal perceived disadvantages. The findings suggest that daily Duolingo practice is an effective, engaging, and accessible method for boosting English vocabulary acquisition. This study provides practical insights for educators seeking innovative technology-integrated approaches to language teaching.

This study aims to evaluate the performance of digital information systems, including websites and mobile applications, used by national expedition companies in Indonesia, using standardized technical indicators from Google Web.dev. This research employs a descriptive and evaluative approach with purposive sampling. The research objects comprise five major national expedition companies: JNE, J&T Express, SiCepat, Pos Indonesia, and Lion Parcel. The evaluation is conducted using four main indicators: Performance, Accessibility, Best Practices, and Search Engine Optimization (SEO). The results indicate that, in general, the digital information systems of national expedition companies function adequately; however, there are notable performance variations among companies, particularly in terms of loading speed and mobile performance. Pos Indonesia demonstrates the most balanced overall performance, while several other companies require further optimization, especially in performance efficiency and SEO. This study contributes to the literature by providing an objective technical evaluation of expedition information systems and offering practical recommendations to improve digital service quality, enabling faster, more secure, and more responsive logistics services in a highly competitive industry.

This meta-analysis assesses the effectiveness of mobile health (mHealth) applications in trauma management in the Middle East region, based on a systematic review of 47 empirical studies with a total of 12,486 participants published between 2015 and 2024. The quantitative synthesis results indicate that implementing mHealth has a statistically significant impact on improving trauma management, with a strong pooled effect size (g=0.78, 95% CI [0.65, 0.91], p<.001). Subgroup analyses reveal that the highest effectiveness is observed in interventions targeting Post-Traumatic Stress Disorder (PTSD) (g=0.86), followed by physical trauma management (g=0.74) and general psychological trauma (g=0.69). Further meta-regression findings identify the duration of application use (β=0.42, p<.001) and the level of intervention personalization (β=0.38, p<.01) as significant moderators influencing the magnitude of intervention effects. From an implementation perspective, user engagement reached 76.4%, and the retention rate was 68.2% after 6 months of use. Clinical outcome analyses demonstrate a significant reduction in PTSD scores with a mean difference of -14.6 points (p<.001) as well as a substantial improvement in quality of life (d=0.82). Comparatively, these findings extend the results of Goreis et al. (2020) and Kayrouz et al. (2018) by delineating more specifically the effectiveness of interventions in Middle Eastern populations. However, they differ from Yeager and Benight (2018) regarding the optimal duration of use. The principal contribution of this study lies in elucidating the central role of cultural adaptation, which shows a strong correlation with the effectiveness of mHealth applications (r=0.56, p<.001) in the context of trauma management in the Middle East.

Reproductive health education is a critical need for adolescent girls who face various sexual and reproductive health risks, while access to comprehensive education remains limited. Advances in digital technology offer new opportunities through digital-based educational interventions that are more flexible and accessible. This study aims to evaluate the effectiveness of digital reproductive health education interventions for adolescent girls and to identify factors influencing their effectiveness. The method used was a literature review of studies employing randomized controlled trial designs that assessed various digital interventions, including mobile applications, text messaging, educational games, and entertainment-based videos. The findings indicate that digital interventions consistently improve adolescent girls’ knowledge and attitudes toward reproductive health and enhance their confidence in accessing health services. However, changes in risky sexual behaviors and long-term contraceptive use remain limited. The implications of this study suggest that digital interventions should be integrated with supportive approaches, such as family involvement and continuous follow-up, to achieve more effective and sustainable behavioral change.

Public transportation plays an important role in supporting community mobility and accelerating regional economic growth. To improve public transportation services in East Java, the East Java Provincial Transportation Agency introduced the Trans Jatim Bus system. However, its implementation still faces several challenges, including long bus arrival times, the use of mobile applications that are difficult for elderly users, and inconsistencies in the availability of supporting facilities such as seating and trash bins at bus stops. This study aims to analyze the quality of Trans Jatim Bus services based on the service quality dimensions proposed by Wirtz and Lovelock. The research employs a descriptive qualitative approach. Data were collected through interviews, observations, and documentation, and analyzed using stages of data collection, data reduction, data presentation, and conclusion drawing. The findings indicate that reliability has not met service standards due to prolonged waiting times. Responsiveness and assurance were found to meet service standards, as passengers expressed satisfaction with service responses and complaint handling. Empathy was considered adequate, although accessibility issues for elderly passengers remain. Tangible aspects were also sufficiently met, but inconsistencies were found in the provision of seating and trash bins at several bus stops. Based on these findings, the study recommends increasing the number of buses on corridor 2, evaluating bus schedules, conducting public awareness campaigns, and ensuring the consistent provision of seating and trash bins at all bus stops to improve overall service quality.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the regional economy, including in Tatanga District and Nunu Village, Palu City. However, many MSME actors in these areas still face fundamental challenges such as low financial literacy, limited access to capital, and insufficient use of digital technology in business management. These limitations lead to weak financial record-keeping, poor cash flow management, and inadequate readiness to meet bankability requirements when applying for financing from formal financial institutions. This community service program was designed to improve the understanding and practical skills of MSME actors through financial literacy socialization, financial inclusion education, capital training in collaboration with financial institutions, and training in simple financial record preparation. The program was implemented using needs assessments through observation, structured material delivery, interactive discussions, hands-on transaction recording practice, and learning evaluations through pretests and posttests. The results show a significant improvement in participants’ competencies. Average scores for financial literacy and inclusion increased from 48% to 89%, indicating better understanding of cash flow management, transaction recording, and the use of digital financial services such as QRIS and mobile banking. Furthermore, participants’ understanding of capital access improved from 51% to 92%, particularly regarding financing procedures, business eligibility requirements, and the importance of financial statements in loan applications. Overall, the program effectively strengthened MSME capacity to manage businesses in a more structured, adaptive, and professional manner, supporting MSME independence and long-term business sustainability in Tatanga District and Nunu Village.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the regional economy, including in Tatanga District and Nunu Village, Palu City. However, many MSME actors in these areas still face fundamental challenges such as low financial literacy, limited access to capital, and insufficient use of digital technology in business management. These limitations lead to weak financial record-keeping, poor cash flow management, and inadequate readiness to meet bankability requirements when applying for financing from formal financial institutions. This community service program was designed to improve the understanding and practical skills of MSME actors through financial literacy socialization, financial inclusion education, capital training in collaboration with financial institutions, and training in simple financial record preparation. The program was implemented using needs assessments through observation, structured material delivery, interactive discussions, hands-on transaction recording practice, and learning evaluations through pretests and posttests. The results show a significant improvement in participants’ competencies. Average scores for financial literacy and inclusion increased from 48% to 89%, indicating better understanding of cash flow management, transaction recording, and the use of digital financial services such as QRIS and mobile banking. Furthermore, participants’ understanding of capital access improved from 51% to 92%, particularly regarding financing procedures, business eligibility requirements, and the importance of financial statements in loan applications. Overall, the program effectively strengthened MSME capacity to manage businesses in a more structured, adaptive, and professional manner, supporting MSME independence and long-term business sustainability in Tatanga District and Nunu Village.

This community service aims to provide understanding and skills in using comics and AR media as well as understanding biology material by high school students. The community service was carried out at SMA Negeri 1 Raja Ampat involving 43 students. Measurement of student responses using a questionnaire with six statements on a scale of 1 - 4. The measurement data was calculated to obtain the average score and percentage of student responses. The results of the community service show that the average total score is 86.53 which indicates that overall the student response is very good to the community service activities that have been carried out. Student responses are dominated by agree and strongly agree. The largest percentage of disagree, namely 23.26%, is shown by students, especially in the statement that AR applications can be run easily, but the average total score still reaches the good category for this statement. The community service has provided students with an understanding of how to learn biology in an interesting way and provides benefits to improve their understanding. Students agree that the material presented adds to their insight regarding comics and AR, are able to install AR applications on their mobile devices, improve their understanding of biology material, is interesting and provides benefits for them.

This study aims to analyze and synthesize research findings related to the integration of Buddhist values in the development of interactive learning media. The research employed a qualitative approach using a systematic literature review method on fifty selected articles published between 2018 and 2025. Data were collected through a structured process of identification, screening, and extraction from primary sources consisting of accredited national journals and reputable international journals. The data were analyzed using thematic and comparative synthesis techniques to identify patterns, effectiveness, and research gaps. The results show that interactive learning media based on Buddhist values can enhance students’ motivation, moral understanding, and engagement through the use of technologies such as gamification, educational animation, augmented reality, and mobile applications. The effectiveness of these media is strongly influenced by the alignment between Buddhist ethical principles, instructional design, and the cultural context of learning. Furthermore, the study reveals that the successful integration of spiritual values into digital media depends on educators’ readiness, digital literacy, and technological infrastructure support.

Soil contamination by hydrocarbons, pesticides, heavy metals, and complex pollutants is rapidly increasing and degrading essential ecosystem functions. Physical or chemical treatments offer faster results, yet they are often costly, energy-intensive, and risk disrupting soil biological integrity without fully eliminating pollution sources. Microorganism-based bioremediation provides a more sustainable alternative by utilizing microbial metabolism to degrade or immobilize pollutants into less toxic and less mobile forms. This article presents a structured literature review on the roles and applications of microorganisms for bioremediation of contaminated soils, covering comparisons between single isolates and microbial consortia, dominant biological mechanisms, and ecological challenges in field application. A Systematic Literature Review approach was applied, using narrative synthesis and thematic clustering of national and international journals published between 2020 and 2025. The review indicates that single microbial isolates are commonly selected for specific pollutant targets, whereas microbial consortia are preferred for mixed or persistent contaminants due to metabolic synergy that enhances microbial adaptability and stepwise pollutant breakdown in highly polluted soils. Adaptive mechanisms such as EPS production and biofilm formation contribute to microbial resilience under stress and help retain contaminants within the soil matrix. Key challenges identified include inoculum stability under extreme conditions and limited microbial access to pollutants trapped in micro-soil pores. The findings highlight that microbial selection strategies must be tailored to pollutant characteristics and soil environmental conditions, while also emphasizing the potential of biofilm-based systems and organic carriers to support broader field implementation of microbial bioremediation.

Traffic congestion is a persistent challenge in urban areas in Indonesia, where increasing vehicle density creates the need for intelligent traffic monitoring systems. This study aims to develop a real-time vehicle parking system using the YOLOv8 object detection model to provide efficient traffic analysis from live CCTV broadcasts and recorded videos. This study uses a quantitative experimental approach with the implementation of the YOLOv8m model using the Ultralytics library in Python, tested on data collected from CCTV cameras A TCS Dishub Medan and additional footage from mobile devices. Vehicles are detected and counted in two directions up (Up) and down (Down) using virtual detection lines on the video frame. The system performance is evaluated by automatic detection counting with manually recorded ground truth data. The results show that on live CCTV broadcasts, the YOLOv8m model achieves an average precision of 98.96%, a recall of 96.59%, and an F1 score of 97.74% for upstream traffic, while for downstream traffic it achieves 100% precision, 95.64% recall, and an F1 score of 97.730/0. On the other hand, on high-quality recorded videos, all performance metrics achieve 100%, indicating perfect detection accuracy. These findings confirm the effectiveness of YOLOv8 in real-time traffic monitoring, but also indicate that video quality and stream stability affect detection performance. In conclusion, the developed system shows strong potential to support smart city traffic management solutions. Future research should focus on performance optimization under low-resolution live streaming conditions to improve accuracy in practical applications.  

This study investigates strategies for improving social rehabilitation services for people with physical disabilities through technology-based approaches and family involvement at UPT Social Rehabilitation Bina Laras Pasuruan, East Java. Employing a qualitative case study design, data were collected through in-depth interviews, focus group discussions, observation, and documentation with rehabilitation staff, persons with disabilities, family members, and technology specialists. Findings reveal that integrating digital technologies—including mobile health applications, telemedicine platforms, and assistive devices—significantly enhances service accessibility and monitoring capabilities. Structured family involvement programs, encompassing psychoeducation sessions, home-based care training, and support groups, demonstrate substantial improvements in rehabilitation outcomes. Critical success factors include adequate technological infrastructure, staff digital literacy, family commitment, and inter-agency coordination. Challenges include the digital divide, resistance to technological adoption, and sustainability concerns. The research concludes that a hybrid model combining technology-enabled services with intensive family participation offers the most promising approach and recommends policy frameworks that institutionalise these innovations while ensuring equitable access across diverse beneficiary populations