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This study aims to evaluate the public transportation service policy of Trans Jatim Bus Corridor 2, operating on the Mojokerto–Surabaya route, using the six evaluation indicators proposed by William N. Dunn: effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. Employing a qualitative descriptive approach, data were collected through interviews, direct observations, and secondary data analysis. The findings reveal that the Trans Jatim Corridor 2 service has significantly contributed to improving accessibility and mobility for the people of East Java. In terms of effectiveness, the service meets transportation policy objectives by offering strategic routes, consistent schedules, and accessible bus stops. Efficiency is demonstrated through optimal utilization of limited fleets and operational costs, while still meeting high passenger demand. Regarding adequacy, the service is generally sufficient; however, overcrowding during peak hours indicates the need for capacity improvements. Equity is reflected in the widespread distribution of bus stops, although disparities remain in the availability of facilities and route information across several stops. The service shows high responsiveness through quick handling of passenger complaints via applications and social media. Additionally, service appropriateness is evident in its punctual operations supported by GPS-based monitoring and real-time information through the TRANSJATIM-AJAIB application. Overall, the evaluation shows that Trans Jatim Corridor 2 provides effective, efficient, and responsive public transport services, yet requires improvements in capacity and equitable distribution of facilities to achieve optimal service quality.

The use of protective equipment in the form of helmets is an important aspect of ensuring motorcycle rider safety. However, violations of helmet usage still frequently occur and are difficult to monitor continuously. This study proposes a real-time helmet detection system using the YOLOv8 object detection method. The YOLOv8n model was trained using a helmet and no-helmet image dataset that underwent data augmentation to improve the model’s robustness against variations in environmental conditions. The system was implemented using the Python programming language with the support of the Ultralytics and OpenCV libraries. The system input was obtained from a webcam with a resolution of 640×640 pixels, where each video frame was processed in real time to detect the Helmet and No Helmet classes. The system displays bounding boxes and class labels in real time and is equipped with a violation duration calculation mechanism. When a no-helmet condition is detected continuously, the system generates pop-up alerts and automatic notifications via the Telegram application. The experimental results show that the system is capable of detecting helmet usage and no-helmet violations in real time with stable performance. The integration of violation duration calculation helps reduce momentary detection errors and improves the reliability of identifying valid violations

The Ministry of Social Affairs has made a new breakthrough in facilitating the public in checking social assistance recipients, namely the social assistance check application. User reviews can be used to find out whether the application provides benefits to the community or not. However, these reviews need to be processed using sentiment analysis. Then to do sentiment analysis requires machine learning. One method that includes machine learning is Naïve Bayes. The purpose of this research is to implement the Naïve Bayes method in conducting sentiment analysis and find out whether the social assistance check application is beneficial to society based on the results of sentiment analysis. In this study, two categories of sentiment are used, namely positive and negative. The author collects by crawling using the Google Play Scrapper library. The results of crawling data obtained as many as 4000 data. The results showed that the actual data that had been labeled using Textblob resulted in 987 negative label reviews and 628 positive label reviews. Meanwhile, the Naïve Bayes method is able to analyze the review sentiment of the social assistance check application with the results of 1181 negative sentiments and 434 positive sentiments. The Naïve Bayes model has a good accuracy rate of 0.77 or 77% in analyzing sentiment for social assistance check application reviews.

The use of the VSCO application continues to face technical issues, including errors during editing, limited feature access, and login problems that affect user satisfaction. This study analyzes user satisfaction with the VSCO application using the End User Computing Satisfaction (EUCS) method. The study involved 385 VSCO users as respondents, with data collected through questionnaires and analyzed using SmartPLS 3.0. In this research, Accuracy variable does not affect user satisfaction, whereas the Content, Format, Ease of Use, and Timeliness variables have a significant effect on user satisfaction. The study shows that content quality, interface design, ease of use, and system timeliness are the main factors influencing user satisfaction with the VSCO application.

The development of digital technology has led to an increase in the use of short video-based entertainment applications, including the Melolo application. However, the free version still has various complaints, such as inconsistent subtitles, unintuitive navigation, force close glitches, and unstable advertisements, so user satisfaction analysis is needed. This study aims to measure the level of satisfaction of users of the free version of the Melolo application using the End User Computing Satisfaction (EUCS) method, which covers five variables, namely content, accuracy, format, ease of use, and timeliness. Data was collected through an online questionnaire of 385 Melolo app users in Jambi City and analyzed using Structural Equation Modeling (SEM) with the help of SmartPLS 4. The results showed an R-Square value of 0.546, indicating that the model was able to explain 54.6% of the changes in user satisfaction levels. The variables of content and timeliness were found to have a significant effect on user satisfaction, while accuracy, format, and ease of use had no significant effect. These results indicate that content quality and system timeliness are the main factors in increasing user satisfaction. Therefore, Melolo app developers are advised to maintain content quality and improve system performance and stability to optimize the user experience.

The integration of big data in the financial sector has increasingly attracted scholarly attention, particularly in areas such as risk management, fraud detection, algorithmic trading, and investment optimization. Given the rapid development of this field, it is essential to map research trends and identify emerging directions that shape the future of financial innovation. This study applies a bibliometric approach using 3,829 articles retrieved from the Scopus database from 1981 to 2025, with data processed through R Studio and the Bibliometrix-Biblioshiny application. The objective is to explore the intellectual landscape of big data finance and reveal research frontiers as well as thematic evolution. The results show a sharp increase in publications after 2015, alongside the growth of fintech and artificial intelligence applications, with dominant themes including blockchain integration, risk analytics, and predictive modelling. Cross-disciplinary and cross-regional collaborations continue to expand. These findings provide a comprehensive overview of how big data has shaped financial studies and offer insights for potential future research directions.

Posyandu (Integrated Health Post) is a public health facility that plays a vital role in providing health services for toddlers and pregnant women. However, data management and reporting often face challenges, such as limited access to information and errors in data recording. Therefore, this study aims to develop a Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework to improve efficiency and accuracy in data management and reporting. In the development phase, a system requirements analysis and web-based application architecture design were conducted. The system implementation uses the CodeIgniter Framework as a framework to produce a faster, more efficient, and more reliable application. Proposed features include recording health data for toddlers and pregnant women, immunization schedules, weighing, and health reports. The results show that the Web-Based Posyandu Payolaumbu Service Information System can improve efficiency in recording and reporting health data. Users, including posyandu officers, midwives, and administrators, can easily access and manipulate data in real-time. Furthermore, this system helps improve service quality by providing more accurate and complete information on toddler health. In conclusion, the implementation of the Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework provides significant benefits for data management and health services at Posyandu Payolaumbu. Suggestions for further development include maximizing system utilization, developing additional features, routine maintenance, and ongoing evaluation based on user feedback. With these steps, it is hoped that this system can contribute more effectively to improving the quality of health services at Posyandu and supporting comprehensive public health efforts.

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.

The rapid development of technology in today's era requires every profession to align with existing developments. The teaching profession is no exception. Teachers must be able to utilize technology in the learning process to create an engaging learning environment for students. To support this capability, training is essential. This community service activity aims to provide training to teachers at Bancong  Elementary School in Wonoasri District, Madiun Regency, to familiarize themselves with and be able to use the GeoGebra application. This training also aims to improve teachers' competency in utilizing digital technology as a learning medium. The GeoGebra application is an effective application for solving mathematics problems in elementary schools, particularly in geometry, particularly plane figures. The implementation method for this activity includes preparation, training, and mentoring. The training was provided in the form of workshops and hands-on practice using GeoGebra-based mathematics learning media. The activity proceeded orderly and smoothly, and the training participants understood the material well, both theoretically and in practice.

The JKN Mobile application is an electronic-based service innovation introduced by BPJS Health to facilitate JKN participants in accessing healthcare services and managing their membership information. This study aims to explore the experiences and perspectives of outpatient patients regarding the effectiveness of the JKN Mobile online registration system at Baubau City Regional General Hospital. A qualitative phenomenological approach was employed, with informants selected through purposive sampling. Data were collected to capture the meanings of patients’ experiences in using the application. The findings show that most patients are satisfied with the practicality, speed, and flexibility of the online registration system. However, technical problems, particularly unstable internet connectivity, remain a major challenge. Furthermore, the online registration system has contributed to improved service efficiency and patient satisfaction. These findings indicate the importance of continuous evaluation and improvement of the JKN Mobile online registration system to enhance service quality and health information system development at Baubau City Regional General Hospital.

The development of video streaming services has made DramaBox widely used by Generation Z, who prioritize fast entertainment access through mobile devices. However, complaints such as long ad duration, unstable video quality, and inaccurate subtitles remain obstacles that can reduce user satisfaction. This study analyzes the factors that influence DramaBox user satisfaction in Jambi City using the End User Computing Satisfaction (EUCS) method with five main dimensions: content, accuracy, format, ease of use, and timeliness. Data were obtained through questionnaires completed by 385 respondents and processed using SEM-PLS with the help of SmartPLS 4. The results showed that accuracy and timeliness significantly influence user satisfaction, while content, format, and ease of use did not have a significant impact. This finding indicates that information reliability and system speed are the most determining aspects of user experience. Therefore, improvements in both aspects are important for the future development of the DramaBox application.

This study aims to gain an in-depth understanding of the influence of user experience and e-service quality on user satisfaction with the MyTelkomsel mobile application. This research was conducted using a descriptive qualitative method along with data collection techniques in the form of semi-structured interviews and direct observation of active users of the MyTelkomsel application in the city of Medan. Data was obtained from 10 informants selected using purposive sampling techniques, supported by documentation of user interactions with the application. The results of the study indicate that ease of navigation, informative interface display, application response speed, and service feature reliability are the main factors that shape user satisfaction. Users tend to feel satisfied when the application is able to provide a comfortable, efficient, and responsive user experience that meets their needs. The findings of this study are expected to provide strategic input for Telkomsel in improving user experience and service quality as an effort to strengthen customer satisfaction and loyalty.

The personal care product industry, particularly bath soap, is becoming increasingly competitive as public awareness of health and hygiene grows. Lifebuoy is a long-trusted bath soap brand, but according to data from the Top Brand Index 2021–2024, Lifebuoy is experiencing a significant downward trend. This situation indicates a problem in consumer purchasing decisions, making it crucial to examine the factors influencing it. This study aims to analyze the influence of advertising and brand image on purchasing decisions for Lifebuoy bath soap in Semarang City, with purchase intention as an intervening variable. This study used a quantitative approach with explanatory research. The population in this study was all Lifebuoy bath soap users in Semarang City. The sample was determined using a non-probability sampling method using the Lemeshow formula, resulting in 96 respondents. Data analysis techniques used Descriptive Statistical Analysis, Measurement Model Evaluation (Outer Model), and Structural Model Evaluation (Inner Model) using the SmartPLS 0.4 application. The results of the study indicate that advertising has a direct influence on purchasing decisions, brand image has a positive and significant influence on purchasing decisions, advertising does not have a significant direct influence on purchase intention, brand image has a positive and significant influence on purchase intention, purchase intention has a positive and significant influence on purchase decisions, purchase intention mediates the relationship between advertising and purchase decisions, and purchase intention mediates the relationship between brand image and purchase decisions.

This research has a purpose to determine the effect of online transaction security on purchasing decisions through the Shopee application. The respondents consisted of 74 students from the Digital Business Study Program at Universitas Amikom Purwokerto who actively use Shopee. This research employed a quantitative descriptive method with simple linear regression analysis. The results indicate that online transaction security has a positive and significant effect on purchasing decisions, with a regression coefficient of 0.887 and a significance value of 0.000. The coefficient of determination of 35.2% shows that transaction security contributes to purchasing decisions, while the remaining percentage is influenced by other factors. The higher the level of security perceived by consumers during online transactions, the greater the likelihood of making a purchase. These findings highlight the importance of improving security systems and information transparency on e-commerce platforms such as Shopee to create a safe, comfortable, and trustworthy shopping experience for users.

This study aims to see the effect of Debt to Equity Ratio (DER) and Return on Assets (ROA) on Stock Price in PT. Wilmar Cahaya Indonesia, Tbk which is listed on the IDX during the period 2015–2022. The data used in this study is in the form of the company's annual financial statements obtained through secondary sources. This study uses a quantitative approach with multiple linear regression analysis methods, while data processing is carried out using the SPSS application. The results of the study show that partially the Debt to Equity Ratio (DER) variable has a negative effect on the Share Price, while the Return on Assets (ROA) does not have a positive effect on the company's Share Price. However, the results of the simultaneous test show that DER and ROA together have a positive and significant influence on the Stock Price. These findings provide an idea that the combination of capital structure and profitability remains an important indicator in assessing the performance of a company's shares even though their partial relationships show different tendencies. In addition, this research can be a reference for investors in considering the company's fundamental condition before making investment decisions, as well as provide additional insights for management in managing the capital structure more optimally.

Improving the quality of education is a strategic issue that is the main focus in the development of educational institutions in Indonesia. In the era of globalisation and digital transformation, educational institutions are faced with the demand to produce graduates who are not only academically excellent, but also adaptive to changes and community needs. One approach that has been widely studied to address these challenges is the application of educational quality management. This study aims to systematically review various studies that discuss the concept, implementation, and results of the application of educational quality management, with the main question being how the application of quality management contributes to improving the quality of educational institutions. This study uses a literature review method by searching for scientific articles from 2019 to 2025 accessed through Google Scholar and the Publish or Perish (PoP) application. The search was conducted using the keywords ‘educational quality management’, ‘quality implementation’, and ‘improvement of educational institution quality’. From the search results of 15 articles, five main articles were obtained and analysed in depth based on their relevance to the topic and contribution to the research focus. The results of the study revealed three main themes: first, quality management is implemented as a continuous improvement strategy that emphasises planning, implementation, evaluation, and follow-up on quality; second, transformational and collaborative leadership are determining factors in the successful implementation of quality management; third, the implementation of quality management has been proven to improve student academic achievement and the effectiveness of educational institutions. This study concludes that educational quality management plays a significant role in building a culture of quality, accountability, and professionalism among educators. Further research is recommended to explore models of digital and participatory quality management implementation in the context of 21st-century education.

The early growth of Coffea arabica seedlings is highly influenced by the quality of the growing medium and nutrient uptake efficiency during the nursery phase. This study aimed to evaluate the effect of local-material-based growing media formulations and arbuscular mycorrhizal fungi (AMF) inoculation on the vegetative growth of C. arabica Lini S 795 seedlings. The experiment was conducted using a completely randomized design (CRD) with eight treatments involving combinations of soil, rice husk, fermented manure, and Glomus sp. mycorrhiza, each replicated three times. Observed parameters included plant height, leaf number, root length, root dry weight, and shoot dry weight. Results showed that the combination of soil, rice husk, manure, and mycorrhiza significantly enhanced all growth parameters compared to the control. The synergistic interaction between local organic components and biological agents improved the physical, chemical, and biological properties of the growing media, thereby optimizing root and shoot development. These findings suggest that integrating locally available organic materials with mycorrhizal inoculants offers an effective, eco-friendly, and sustainable approach to coffee seedling cultivation, with high potential for broader field-scale application.

The purpose of this research is to determine the influence of knowledge sharing and innovative work behavior on organizational innovation capability. This research design uses a quantitative approach with a survey method. This approach is used to measure the influence of knowledge sharing variables and innovative work behavior on innovation capability. This research was conducted at the PDAM Kolaka Regency office, Southeast Sulawesi Province. The population of this study was 30 employees of PDAM Kolaka Regency, Southeast Sulawesi Province. In this research, primary data sources are used in the form of survey results by distributing questionnaires to obtain information and responses related to knowledge variables, innovative work behavior and employee innovation capabilities. To test the hypothesis, this research uses PLS-SEM with the help of the Smart-PLS version 3.0 application.  The research results show that there is no influence between knowledge sharing and innovative work behavior on organizational innovation capability .  

The reform of criminal investigation procedures has become a crucial aspect of Indonesia’s criminal justice system renewal, particularly following the enactment of the new Criminal Code, which introduces significant shifts regarding the rights of suspects, investigative authority, and the implementation of due process of law. In an era of rapid digital development, investigative practices must also incorporate the principles of good governance and human rights protection to ensure that state authority is exercised proportionally. This study aims to analyze the relevance of the principles of good governance in modern investigative processes, assess the adequacy of due process guarantees under the current Code of Criminal Procedureand the new Criminal Code, and identify practical challenges in application. Using a normative legal research method through statutory, conceptual, and comparative approaches, the study finds that criminal investigations in Indonesia continue to face issues such as normative inconsistency, regulatory disharmony, and weak accountability mechanisms. The integration of the principles of good governance has the potential to strengthen the quality and fairness of investigations, yet requires clearer normative foundations and consistent implementation. Moreover, the new Criminal Code does not fully resolve harmonization issues with Code of Criminal Procedure, making procedural reform an urgent necessity. The findings contribute to the enhancement of suspect protection, professionalism among investigators, and the overall improvement of Indonesia’s criminal justice system.

This research aims to analyze the role of knowledge management in improving organizational performance. This research uses a qualitative method with a literature review approach, examining various national and international scientific journals published between 2019 and 2025. Data was obtained thru documentation techniques from secondary sources such as Google Scholar, ResearchGate, ScienceDirect, and SpringerLink. Analysis was conducted using content analysis and thematic synthesis methods to identify patterns of relationships between knowledge management dimensions and organizational performance. The research results indicate that effective knowledge management implementation has a positive impact on improving organizational performance, both in terms of operational efficiency, innovation, and competitive advantage. The four main dimensions of knowledge management that play the most significant role are knowledge creation, knowledge storage, knowledge sharing, and knowledge application. Additionally, organizational culture, transformational leadership, and employe commitment are key supporting factors for the successful implementation of knowledge management. Thus, it can be concluded that the systematic and integrated management of knowledge is an important foundation for organizations to achieve superior and sustainable performance in the digital age.