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The emergence of Internet of Things (IoT) technology has opened up considerable possibilities for automation systems aimed at enhancing energy efficiency in both home and office settings. This study focuses on the creation and deployment of an IoT-driven Smart Home system utilizing ESP32 for the automatic and manual supervision and regulation of electrical appliances within the Employee Dormitory of the Institute for Lecturer Performance Development (LPKD). The established system employs a Passive Infrared (PIR) sensor for detecting human presence and a Light Dependent Resistor (LDR) sensor to assess the intensity of light in the room. The data from these sensors is analyzed by the ESP32 microcontroller, which controls lights and fans automatically through relay modules based on the surrounding conditions. Furthermore, the system is linked to the Blynk application and the Telegram Bot API to enable remote operation and immediate notifications. The methodological approach taken in this research is Research and Development (R&D) employing a prototyping method. The assessment outcomes show that the system functions reliably, with success rates for sensor detection and appliance management exceeding 95%. The introduction of this system aims to boost electrical energy efficiency, improve user experience, and facilitate the adoption of IoT-centered smart facility management within the LPKD framework.

This community service activity aimed to improve communication competence and customer experience among service actors in a higher education environment. The training was implemented at Gedung Aula KPA Politeknik Negeri Sriwijaya on 19 February 2026 under the theme of excellent service transformation based on integrity to support the institutional commitment toward an Integrity Zone and Corruption-Free Area. The method consisted of preparation, needs identification, interactive presentation, case-based discussion, service communication simulation, and reflective evaluation. The material emphasized service attitude, active listening, empathy, complaint response, and customer experience touchpoints in academic and administrative services. The activity showed that participants were able to identify the importance of consistent communication behavior, emotional control, and service recovery in creating positive experiences for students, lecturers, partners, and public stakeholders. The implication of this activity is the need for continuous service culture reinforcement through standard operating procedures, role-play-based training, and periodic evaluation of user satisfaction in higher education services.

This literature review analyzes the impact of data privacy issues on consumer usage intention in Indonesian e-commerce platforms. The study aims to map privacy threats and understand the phenomenon of the privacy paradox in the context of digital retail. Using a literature review method, this study synthesized findings from international journals published in the last five years from Scopus, Web of Science, and Google Scholar databases. The results show that excessive data collection, unauthorized secondary use, and data breaches significantly increase consumer privacy concerns. However, the research also confirms a privacy paradox, where consumers willingly share personal data to gain shopping convenience and promotions. The findings highlight that strong brand trust and a seamless user experience can effectively mitigate these privacy fears. Practically, this study recommends that e-commerce companies implement the Privacy by Design framework, utilize dynamic passwords (OTP), and provide transparent privacy settings as a competitive marketing advantage. Future research should explore specific regional demographics and the direct impact of new technologies like AI chatbots on consumer security perceptions.

Children's literacy can be improved through interactive learning media. A digital children's story platform, previously a mobile application, required web version development to expand user accessibility via browsers. The main challenge in this development was presenting multimedia content such as text, images, and audio dubbing synchronously scene-by-scene without degrading system performance, as well as facilitating reader interaction through a rating feature. This research aims to design and develop the platform using a Decoupled Architecture approach. The software development method used is Waterfall, encompassing requirement analysis, system design (UML, CDM, and PDM), implementation, testing, and maintenance. During implementation, ReactJS is utilized on the client-side for responsive interface rendering and state management, while Laravel is implemented on the server-side as a RESTful API provider to manage multimedia asset transmission, rating records, and the MySQL database. Functional system testing was evaluated using Black-box Testing, while user experience was validated using Spearman's Rank Correlation. The results indicate that this architectural separation (front-end and back-end) effectively resolves server overload issues commonly found in monolithic architectures and produces a seamless, stable asynchronous data transmission system across various devices.

This study examines the implementation of a Figma-based UI/UX training program aimed at improving digital design literacy among students at Qotrun Nada Islamic Boarding School, Jakarta. The program was developed to address the limited digital competencies and practical design skills commonly found among santri in traditional Islamic educational environments. Using a project-based learning and mentoring approach, participants were introduced to fundamental concepts of User Interface (UI), User Experience (UX), and collaborative digital design using Figma. The activities included workshops, practical design exercises, mentoring sessions, and prototype development projects. The findings demonstrated significant improvements in students’ digital literacy, communication skills, teamwork, creativity, and confidence in using technology. Students successfully produced simple website prototypes that reflected basic usability and visual design principles. Furthermore, the integration of digital literacy training within the pesantren environment showed that technological skill development can be harmonized with Islamic educational values and community empowerment initiatives

This research was conducted at the Semarang City Public Works Department, particularly in the secretariat section responsible for correspondence administration and public information management (PPID). The study focuses on the conventional management of letter disposition, which makes it difficult for PPID officers to monitor letter status quickly, reduces process transparency, and may cause delays in decision-making and public services. This research aims to develop and implement a Disposition Monitoring Information System (SIMODIS) to digitize correspondence administration so that it becomes more effective, efficient, transparent, and accountable. The study uses ASTRID Analysis to identify strategic issues and a Design Thinking approach consisting of the Empathize, Define, Ideate, and Prototype stages. Empathy Map and Persona were also used to understand user needs. System testing was conducted using Black Box Testing to assess functionality and the System Usability Scale (SUS) to evaluate user experience. The results show that SIMODIS was successfully developed with features such as an admin dashboard, digital disposition forms, and a public mail status search portal. The SUS score reached 83, categorized as Excellent, indicating high usability and user acceptance.

The readiness of officers to carry out Electronic Medical Records (RME) needs to be measured using the Technology Readiness Index (TRI) method, which is an index used to measure the readiness of new technology users to achieve goals in daily life and work. This research aims to determine the readiness of Electronic Medical Record (RME) users using the Technology Readiness Index (TRI) case study at Daha Husada Regional Hospital. This is a descriptive research with an evaluation study where the research subjects are the head of medical records and 3 medical records officers in the inpatient registration section at Daha Husada Regional Hospital using a total saturated sampling technique. Data collection uses interview techniques. Data presentation is presented using narrative. The results of the research show that of the 4 variables used to measure the readiness of medical record users, medical record officers at Daha Husada Regional Hospital are ready to use medical records, even though they are ready there are still difficulties experienced and feelings of insecurity when using Electronic Medical Records (RME), namely Medical records can be accessed anywhere and are not yet integrated according to the user's wishes. Therefore, Daha Husada Regional Hospital should further tighten its electronic medical record data security system.

The reliability of an e-commerce application is essential to ensure smooth and secure user transactions. This study discusses the implementation of Software Quality Assurance (SQA) on a web-based e-commerce application to test the functionality of the developed system. The testing methodology used in this research combines manual testing and automated testing using the Katalon Studio tool, following the Software Testing Life Cycle (STLC) framework. Manual testing was focused on validating the user interface and user experience across core workflows, including user registration, authentication, cart management, and the checkout process. Meanwhile, Katalon Studio was utilized to execute automated test scenarios on these crucial features to accelerate regression testing and ensure system stability. The results indicate that from 42 test cases executed, the SQA approach successfully identified five functional defects across three modules, categorized by severity into two High-level defects (server error on registration and missing error handling on checkout), two Medium-level defects (client-side-only address validation and cart quantity logic), and one Low-level defect (insufficient logout notification display time). Four of the five defects were resolved, raising the test pass rate from 90.5% to 97.6% during regression testing. Automated testing demonstrated a significant time efficiency of approximately 95% compared to manual execution for regression scenarios. In conclusion, the combination of manual and automated testing proved capable of thoroughly verifying software quality, ensuring that the SQA Shop application functions according to the required specifications before its release to end-users.

Instagram social media addiction has become an increasingly common phenomenon among university students. Excessive use of Instagram can negatively affect mental, social, and academic well-being, and may increase the risk of social anxiety. Students who experience Instagram addiction tend to have reduced direct social interaction, and fear of negative evaluation from others, which are key factors contributing to social anxiety. This study aims to determine the relationship between Instagram social media addiction and social anxiety among students. This study used a quantitative approach with a cross-sectional design. The sample consisted of 105 respondents selected using purposive sampling. The instruments used were the Instagram Addiction Scale (TIAS) and the Social Anxiety Scale for Social Media Users (SAS-SMU). Data analysis was conducted using the Chi-Square test. The results showed that most respondents had a moderate level of Instagram addiction (56.2%) and a moderate level of social anxiety (68.6%). The Chi-Square test indicated a significant relationship between Instagram addiction and social anxiety, with a p-value < 0.001 (p < 0.05). There is a significant relationship between Instagram addiction and social anxiety among students. However, the relationship is not always linear, as higher levels of addiction do not necessarily correspond to higher levels of social anxiety.

Instagram social media addiction has become an increasingly common phenomenon among university students. Excessive use of Instagram can negatively affect mental, social, and academic well-being, and may increase the risk of social anxiety. Students who experience Instagram addiction tend to have reduced direct social interaction, and fear of negative evaluation from others, which are key factors contributing to social anxiety. This study aims to determine the relationship between Instagram social media addiction and social anxiety among students. This study used a quantitative approach with a cross-sectional design. The sample consisted of 105 respondents selected using purposive sampling. The instruments used were the Instagram Addiction Scale (TIAS) and the Social Anxiety Scale for Social Media Users (SAS-SMU). Data analysis was conducted using the Chi-Square test. The results showed that most respondents had a moderate level of Instagram addiction (56.2%) and a moderate level of social anxiety (68.6%). The Chi-Square test indicated a significant relationship between Instagram addiction and social anxiety, with a p-value < 0.001 (p < 0.05). There is a significant relationship between Instagram addiction and social anxiety among students. However, the relationship is not always linear, as higher levels of addiction do not necessarily correspond to higher levels of social anxiety.

The rapid development of artificial intelligence (AI) technology and personalization algorithms has fundamentally transformed the landscape of e-commerce and digital retail, particularly influencing the shopping behavior of female consumers. This study examines the utilization of AI-driven personalization algorithms and their impact on the research shopping phenomenon among female consumers in the digital era. Research shopping, defined as the behavior of searching for product information online while making the final purchase decision offline or across multiple platforms, has become increasingly prevalent as digital touchpoints multiply. This research employs a quantitative approach with a survey method involving 250 female respondents aged 18–45 who actively use e-commerce platforms in Indonesia. Data were collected using structured questionnaires and analyzed using Structural Equation Modeling (SEM). The findings reveal that AI personalization algorithms significantly influence female consumer decision-making processes, fostering research shopping tendencies through targeted recommendations, dynamic pricing, and adaptive content delivery. Furthermore, the study identifies trust, perceived usefulness, and digital literacy as key mediating variables between AI technology utilization and research shopping behavior. These results contribute to the growing body of literature on AI-driven consumer behavior and offer practical implications for digital marketers and e-commerce platform developers seeking to optimize user experience for female consumers.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

Telepharmacy is a digital-based pharmaceutical service innovation aimed at improving access to healthcare services and enhancing the quality of pharmaceutical care, particularly in areas with limited healthcare resources. This study aimed to evaluate the implementation of telepharmacy services at Sehat Plus Pharmacy based on the six healthcare quality dimensions established by the World Health Organization (WHO), namely safety, effectiveness, timeliness, efficiency, equity, and patient-centeredness, and to analyze their association with respondent characteristics. A quantitative descriptive-analytic study with a cross-sectional design was conducted. The study involved 35 respondents selected using a total sampling technique. Data were collected through a structured Likert-scale questionnaire and analyzed using univariate analysis and Spearman correlation tests with a significance level of α = 0.05. The results indicated that the overall implementation of telepharmacy services was categorized as very good (88.8%), with the safety dimension achieving the highest evaluation score among all quality dimensions. Most respondents were female and aged between 21 and 25 years. Statistical analysis revealed a significant association between age and perceptions of telepharmacy implementation (p = 0.004; r = -0.471), indicating a moderate negative correlation. In contrast, gender, educational level, and occupation showed no significant association with service implementation (p > 0.05). It can be concluded that telepharmacy services at Sehat Plus Pharmacy have met WHO healthcare quality standards and provide positive user experiences, while age remains an important factor influencing service perception and acceptance.

This research aims to evaluate the Naval Academy's Technical Corps Education Program in enhancing cadets' readiness to face assignments on the Indonesian Navy Warships (KRI). The research uses a quantitative approach with an evaluative method and the CIPP model (Context, Input, Process, Product). The research sample consisted of 154 respondents, including cadets from the Technical Corps, educators, and officers who are users of the graduates. Data were collected thru questionnaires, interviews, observations, and documentation, and then analyzed using descriptive statistics and the CIPP model evaluation. The research results show that the Technical Corps Education Program falls into the good category with an average score of 4.15. The context component received a score of 4.18, input 4.05, process 4.12, and product 4.23. The results indicate that the education program has been effective in enhancing the cadets' readiness to face assignments on KRI. The main supporting factors include curriculum alignment, educator competence, and field practice experience. However, the improvement of practical facilities, the updating of modern warship technology materials, and the strengthening of simulation-based training are still needed to continuously enhance the quality of graduates.

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

This study aims to examine the influence of trust on the perception of transaction security in the use of online shopping applications among millennials. The development of digital technology and the increasing use of online shopping applications have influenced how users assess security risks, personal data protection, and the reliability of transaction systems. This study employs a literature review method by examining relevant previous studies on trust, transaction security, digital risk, and user experience in online shopping. The findings indicate that user trust plays an important role in shaping perceptions of transaction security. Such trust is influenced by the platform’s ability to protect personal data, provide secure payment systems, and ensure smooth transaction processes. The higher the level of user trust in system security, the greater their tendency to use online shopping applications for transactions. Therefore, trust and transaction security are important factors in increasing millennials’ interest and comfort in online shopping.

The swift proliferation of short-video-centric social media, notably TikTok, has revolutionized the educational landscape by facilitating novel methods of knowledge production, dissemination, and interpretation. This phenomenon denotes a transition in media and signifies an epistemological transformation in educational practices within the digital age. This study seeks to analyze the representation and interpretation of knowledge in TikTok educational content using a qualitative methodology grounded in an interpretive case study framework. Data were gathered via digital participant observation, comprehensive interviews, and document analysis involving 12 participants, comprising educational content creators and active TikTok users in higher education settings. Thematic data analysis was performed utilizing a Multimodal Critical Discourse Analysis framework to elucidate the interplay among visual, verbal, and auditory components in the construction of meaning. The results show three main patterns: the conflict between quick understanding and deep knowledge, the importance of emotional multimodal experiences in learning, and the negotiation of knowledge authority in changing digital spaces. These results indicate that learning via TikTok encompasses not only cognitive aspects but also intricate emotional, aesthetic, and social dimensions. This study theoretically enhances multimodal discourse analysis by integrating users' subjective experiences, while practically informing the advancement of critical digital literacy and the design of social media-based learning. Moreover, this study facilitates additional investigation into algorithmic dynamics, digital identity, and the evolution of learning methodologies within platform-centric contexts.

This study aims to understand the role of E-Commerce in building customer loyalty, explain the process of loyalty formation, and assess how customers perceive service quality in relation to loyalty, using the GoFood service in Jombang as a case study. The rapid growth of online food delivery services has intensified competition, making customer loyalty a critical factor for sustainability. Employing a qualitative case study approach, data were collected through in-depth interviews with 30 GoFood customers and several drivers in the Jombang area. The findings reveal that E-Commerce platforms significantly enhance loyalty through user-friendly application interfaces, supporting features (such as live tracking, history, and digital payments), and beneficial promotions. The loyalty formation process occurs gradually through consistent positive experiences, moving from customer satisfaction to trust, and ultimately to habitual use. Crucially, the quality of driver services—including politeness, effective communication, punctuality, and order accuracy—emerged as a key determinant of customer comfort and repeat orders. This study implies that for E-Commerce platforms to maintain a competitive edge, strategies must integrate digital convenience with consistently reliable human interactions. The research contributes empirical insights from a semi-urban Indonesian context, highlighting that customer loyalty is not merely transactional but is built on a combination of technological ease, economic value, and positive interpersonal service experiences.

This study aims to analyze the level of student satisfaction in paying tuition fees (UKT) through the BRImo application at Universitas Negeri Gorontalo. The research applies the service quality (SERVQUAL) framework, which consists of five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. A qualitative descriptive approach was employed, with data collected through in-depth interviews, direct observations, and documentation. Participants included students who actively use the BRImo application for UKT payments as well as staff responsible for tuition management. Data analysis followed a systematic process involving data reduction, data display, and drawing conclusions to ensure accuracy and clarity of findings. The results indicate that using the BRImo application for tuition payment offers significant convenience and efficiency, allowing students to complete transactions without physically visiting the university payment office. Despite these benefits, several challenges were identified, including failed transactions, delays in payment confirmation, and suboptimal responses from customer service staff. Overall, the study concludes that student satisfaction with tuition payments via BRImo is considered fairly good. Nevertheless, improvements in reliability and responsiveness are recommended to further enhance the user experience and optimize the quality of service provided.  

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.