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The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

SR12 Herbal Cosmetics is a company engaged in the field of herbal and skin care. Founded in 2015 byToni Firmansyah, S. Farm., Apt. and Asrianty Salam, Farm. This company has a vision to provide benefits to many people through the herbal and skin care products they produce. SR12 Herbal Cosmetics products are formulated based on research from certified scientists, and have been tested at the Sucofindo Laboratory, are free of mercury and hydroquinone, and have been registered with the Indonesian Food and Drug Supervisory Agency (BPOM RI). SR12 Herbal Cosmetics has several factories in West Java Province and has an extensive distribution network with hundreds of distributors and tens of thousands of partners throughout Indonesia. The goal to be achieved is to produce a management information system model including a management information system for PT SR12 Herbal Cosmetics. The research object chosen is a company in the field of cosmetics and skin care which has its head office in Gunung Sindur, West Java. This selection aims to form a management information system design model that is able to produce relevant and timely information for planning, controlling, decision making and evaluating the performance of activities. For the Web-Based Instagram Content Management Information System Design project to Support SR12 Herbal Cosmetics' Brand Awareness, I used Agile (Scrum) due to the dynamic nature of digital marketing and potential changes to the Instagram API or business needs. This allowed SR12 to get core functionality faster and provide iterative feedback, ensuring the system built was truly relevant to their brand awareness needs.

In the current era of digital transformation, higher education institutions face increasing pressure to manage their reputation strategically through digital communication channels. This study investigates the relationship between digital communication strategies employed by higher education institutions and their perceived reputation among students and surrounding communities. Employing a mixed-methods approach combining quantitative survey with 320 respondents (220 students and 100 community members) and qualitative in-depth interviews with 18 informants from three universities in Bandung, West Java, Indonesia, this research examines how social media management, website quality, digital content consistency, and online engagement practices influence institutional reputation. The findings reveal that digital communication strategy has a significant positive effect on higher education reputation (r = 0.724, p < 0.01), with social media engagement and content consistency emerging as the most influential dimensions. Community respondents demonstrated higher sensitivity to Corporate Social Responsibility (CSR) content compared to students, who prioritized academic information quality and responsiveness. This study contributes theoretically to the application of Agenda-Setting Theory and Stakeholder Theory in the digital context of higher education and provides practical recommendations for university communication offices in developing more effective digital strategies to build and maintain institutional reputation.

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.

Microplastics are extremely small plastic particles that have become a major concern in public health and environmental studies. This literature review aims to discuss the sources of microplastics, their routes of exposure to the human body, their distribution in organs, and their potential health impacts. The method used was a literature review of scientific articles and reports published from 2021 onward, retrieved from Google Scholar, PubMed, ScienceDirect, and official websites of organizations such as the WHO, OECD, and the World Bank. The review findings show that microplastics originate from plastic waste, synthetic clothing, cosmetics, vehicle tires, and food packaging. These particles have been detected in blood, lungs, the placenta, feces, and various human tissues, indicating that human exposure is widespread. However, evidence from human studies is still limited, so cause-and-effect relationships cannot yet be confirmed with certainty. Based on these findings, further research is needed to better understand the long-term health effects of microplastics. In addition, efforts to reduce single-use plastics, improve waste management systems, and increase public education are essential to reduce exposure and prevent future health risks.

This study aims to analyze the influence of accountability and transparency in government financial reports on the achievement of Sustainable Development Goals (SDGs) 2 in Indonesia. SDGs 2 focuses on efforts to eradicate hunger, increase food security, and improve public nutrition. The study used a quantitative approach with panel data in 34 provinces in Indonesia during the 2021–2022 period. The sampling technique was purposive sampling, resulting in a total of 68 research observations. The research data were sourced from the National Development Planning Agency (BAPPENAS), the Supreme Audit Agency (BPK), and official local government websites related to the publication of regional financial reports. The accountability variable was measured using the BPK audit opinion on the LKPD, while transparency was measured based on the openness of the publication of seven components of the regional government financial report. Data analysis was performed using the Common Effect Model (CEM) with a robust standard error approach. The results showed that accountability has a positive and significant effect on the achievement of SDGs 2 with a coefficient value of 3.919 and a significance level of 0.000. Transparency also has a positive and significant effect on the achievement of SDGs 2 with a coefficient value of 2.415 and a significance level of 0.000. In addition, accountability and transparency simultaneously proved to have a significant effect on the achievement of SDGs 2. This finding indicates that the implementation of good governance through increased accountability and transparency of financial reports can support the effectiveness of food security and sustainable development programs in Indonesia.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

Librarians, as information specialists, play a vital role in managing and providing access to digital libraries. Despite the availability of digital information through repositories and digital libraries, a gap remains between users and their effective utilization. This underscores the importance of librarians in facilitating access and supporting users. This study analyzes the role, competencies, and challenges faced by librarians at the UPA Library of the University of Bengkulu in the digital knowledge ecosystem. A qualitative descriptive approach was used, with data collected through semi-structured interviews with four librarians and two users, direct observation, and documentation. Data were analyzed using data reduction, presentation, and conclusion drawing. The findings show that librarians act as information specialists by providing access through the OPAC system, repositories, digital libraries, e-journals, Springer Digital References, Instagram, and the library website. They evaluate and ensure credible digital information sources, preserve and back up collections, and assist users in information searches. However, librarians face challenges such as budget constraints, low user awareness, limited human resources, network issues, restricted access, and inadequate collections. These findings contribute to understanding the role of librarians as information specialists.

Public services are one of the essential functions of village-level government as they are directly related to the needs of the community. However, in Pontap Village, Palopo City, service processes are still carried out manually, which often leads to obstacles such as service delays, difficulties in record-keeping, and limited access to information for residents. This study aims to design and develop a web-based public service information system to improve the efficiency and quality of services at the village office. The system was developed using the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system was built using the PHP programming language with the Laravel framework and utilizes MySQL as the database which is managed using HeidiSQL. System modeling was carried out using use case diagrams and activity diagrams, while testing was conducted using the black-box testing approach to ensure that all functions operate according to specifications. The resulting system provides community complaint services, administrative letter services, and information on health service schedules such as posyandu and puskesmas activities. It is expected that this system will facilitate residents in accessing information, accelerate service processes, and improve data accuracy through an integrated digital platform. This research is expected to serve as a solution to support the digitalization of public services in Pontap Village and to become a reference for the development of similar systems in other regions.

Early childhood education requires engaging and interactive learning media to enchance student’s motivation and participation. However, learning activities in many kindergartens are still dominated by conventional methods, which are less effective in attracting children’s attention. This study aims to design and implement a web-based interactive educational game as an alternative learning medium for early childhood education. This research applies the ADDIE development model, consisting of analysis, design, development, implementation, and evaluation stages. Data were collected through observation, questionnaires, and literature review to identify user needs and evaluate the system. The educational game was developed using web-based technologies, enabling easy access through a browser without additional installation. The results show that the developed educational game improves children’s learning interest and engagement during the learning process. The system is also considered user-friendly and suitable for early childhood characteristics, both in terms of interface design and interactivity. Therefore, the web-based educational game is feasible and effective as an alternative learning medium to support early childhood education.

This study aims to examine the role of customer trust as a mediating variable in the relationship between digital marketing strategies and consumer behavior. As digital marketing evolves, companies are required not only to create engaging content but also to build strong trust to influence purchase intention, loyalty, and customer engagement. This research employs a systematic literature review (SLR) following PRISMA guidelines, selecting 52 empirical articles from reputable international databases such as Scopus, Web of Science, EBSCOhost, and ScienceDirect, published between 2015 and 2026. The analysis involved thematic and descriptive synthesis to assess the strength of digital marketing’s impact on customer trust and consumer behavior outcomes. The results indicate that digital marketing has a significant positive effect on customer trust formation (β=0.652; p<0.001). Customer trust functions as a partial mediator that strengthens the impact of digital marketing on purchase intention, loyalty, and engagement. The direct effect of digital marketing on consumer behavior is weaker when trust is not optimally established. These findings emphasize that effective digital marketing strategies must focus on transparency, security, credibility, and personalization to maximize consumer behavior outcomes. Practically, this study provides important implications for companies and digital marketing practitioners, highlighting that successful campaigns rely not only on content and visibility but also on the ability to build customer trust. The study also opens avenues for future research to examine more specific trust dimensions, including platform integrity, information quality, and social proof, within increasingly complex digital marketing contexts.

The development of information technology and the internet has increased the use of online marketplaces as sources of transaction and information, including in the used vehicle sector. OLX provides vehicle information such as price, brand, year, fuel type, mileage, and seller location, but the data is presented individually, making overall market analysis difficult. This study aims to design a used car market analysis dashboard based on OLX advertisement data in the Greater Jakarta area using a Business Intelligence (BI) approach. Data were collected through web scraping and processed through data cleaning to improve quality. Market segmentation was conducted using the K-Means Clustering method based on vehicle price, year, and mileage. A Star Schema analytical database was implemented to support data management and visualization. User information needs were identified through questionnaires to determine Measures and Key Performance Indicators (KPIs). The dashboard was developed using Microsoft Power BI and features interactive visualizations, including KPI Cards, Bar Charts, Line Charts, and Pie Charts. Results show that the dashboard presents market information in a structured and informative manner, including vehicle counts, average prices, market trends, brand and location distributions, and segmentation results. Black Box Testing confirmed that all dashboard functions operated as expected, supporting faster and more effective data-driven decision making.

The process of creating and verifying employee ID cards at BKPSDMD Jambi City was previously carried out manually, resulting in lengthy processing times, data entry errors, and a high risk of identity forgery. This study aims to design and implement a web-based employee ID card digitalization system integrated with QR Code technology to improve the efficiency, accuracy, and security of employee identity verification. The system was developed using the Waterfall methodology, consisting of requirements analysis, system design, implementation, testing, and maintenance. The application was built using Native PHP, MySQL, HTML, CSS, and JavaScript. Functional testing was conducted using Black Box Testing with 12 test scenarios, while usability evaluation employed the System Usability Scale (SUS) involving 20 respondents. The results indicate that all core system features functioned properly, achieving a 100% success rate on valid test scenarios. Furthermore, the usability evaluation produced an average SUS score of 71.75, which falls into the good and acceptable categories. The implementation successfully accelerated the ID card issuance process, improved data management accuracy, and enhanced identity verification security through QR Code integration directly connected to the employee database. Therefore, the developed system effectively supports digital transformation and improves the efficiency of employee identity management at BKPSDMD Jambi City.

The background of this study was the fluctuation in net profit and the changes in current assets and current liabilities, which indicated an imbalance in the management of working capital at PT Hanjaya Mandala Sampoerna Tbk during the 2020–2024 period). This study aimed to analyze the company's working capital and profitability, which were measured using the Gross Profit Margin (GPM), Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE) ratios. This study employed a descriptive research design with a quantitative approach.. The data consisted of the company's financial statements for the 2020–2024 period, which were obtained from the Indonesia Stock Exchange and the company's official website.. The results showed that the company's working capital remained positive but tended to decline, indicating a less favorable condition . The company's profitability was generally categorized as good, although the Gross Profit Margin was still considered less satisfactory.

The increasing use of web applications in various sectors has made security a major concern due to the high risk of attacks targeting the application layer. This study aims to analyze the effectiveness of the F5 Web Application Firewall (F5 WAF) in mitigating vulnerabilities in the OWASP Juice Shop application. Testing was conducted using 10 attack scenarios including SQL Injection, Cross-Site Scripting (XSS), Insecure Direct Object Reference (IDOR), and Information Disclosure before and after F5 WAF implementation. The test results showed that all tested attack scenarios were successfully mitigated after F5 WAF implementation. These findings indicate that the F5 WAF is able to provide effective protection against various vulnerabilities at the application layer and improve the security of web applications in the test environment used.

This study aims to analyze the implementation of information technology in improving the quality of public services. The research method used is library research by collecting and analyzing various scientific sources, such as journals, books, research articles, and government documents related to information technology and public services. The results show that the implementation of information technology through online service systems, official websites, and administrative information systems is able to improve the effectiveness, efficiency, transparency, and accessibility of public services. Information technology also helps accelerate administrative processes, reduce data management errors, increase employee productivity, and strengthen communication between the government and the community. In addition, the implementation of information technology supports the realization of e-government and good governance through increased accountability and information transparency. However, the implementation of information technology still faces several challenges, such as limited human resources, inadequate technological infrastructure, unstable internet connections, and the low ability of some communities to use digital services. Therefore, it is necessary to improve employee competencies, develop technological infrastructure, and conduct public socialization to optimize the implementation of information technology in public services. Overall, information technology has proven to be a strategic solution in creating modern, effective, efficient, transparent, and community-oriented public services.

The absence of integrated blood stock management in hospitals, relying on current manual procedures, frequently results in delayed services and challenges in fulfilling blood requirements under emergencies. This research seeks to design and build a web-based blood stock monitoring platform called HemoBridge, offering real-time data accessible by the public, healthcare facilities, and the Ministry of Health. The System Development Life Cycle (SDLC) framework with the well-known Waterfall approach was adopted, encompassing needs analysis, system architecture, development, verification, deployment, and upkeep. This study used a qualitative methodology through field observation and literature review. The platform was developed using PHP and the Laravel framework, with HTML, CSS, JavaScript, and MySQL as supporting technologies. Findings indicate HemoBridge was successfully deployed with core features comprising a comprehensive landing page, donor education, role-based access control, an integrated hospital management panel, a Ministry of Health dashboard, and an advanced blood stock search module with referral capability. Validation through Black Box Testing across six primary functions confirmed all features performed as intended. The platform demonstrates the capacity to enhance data management efficiency, accelerate information retrieval, and strengthen evidence-based decision-making in healthcare. Prospective enhancements include automated stock alerts, data encryption, and wider interoperability with health institutions throughout Indonesia.

Development of digital technology has brought very big change in the world of education especially in the teaching and learning process which is then expected to become more flexible, interactive and easy to access. but in reality digitalization progress also creates challenges in the form of the influence of algorithms low digital literacy and use Artificial Intelligence (AI) which is excessive in the learning process. Community Service Activities (PKM) carried out in order celebration National Education Day (Hardiknas) with a theme Digital Education; Key Opens the Gate Future Unlocked Algorithm. Activities are carried out and implemented via a webinar held and broadcast live via the Islamic Center of East Kalimantan YouTube channel on May 5, 2026. Methods of implementing activities using guided interactive discussions by a moderator and presenting competent speakers in their fields. Results of the discussion shows that technology is increasingly developing able to provide convenience in the process learning and increasing understanding participant regarding the importance of digital education, digital literacy influence of algorithms and usage Artificial Intelligence (AI) wiser in teaching and learning activities.