Background: Anxiety before childbirth is a psychological disorder often experienced by pregnant women, especially in the third trimester of pregnancy. Fear of pain, worry about the condition of the fetus, and uncertainty about the delivery process are the main triggering factors. If not handled properly, this anxiety can have serious consequences, such as increased stress hormones (cortisol), sleep disorders, high blood pressure, and even labor complications. Therefore, interventions are needed that not only focus on physical aspects, but also support mental and emotional balance. Objective: The purpose of this activity is to provide education and practical training to pregnant women on anxiety management before childbirth through the application of complementary therapies, and to evaluate the effectiveness of this approach in increasing the readiness and calmness of participants. Method: The activity was carried out at PMB Lismarini, Tulungagung, involving 20 pregnant women in their third trimester. Education was carried out interactively using visual media and group discussions. Next, participants participated in the practice of three types of complementary therapies: (1) deep breathing relaxation with diaphragmatic breathing techniques, (2) aromatherapy using lavender as a relaxation agent, and (3) classical music with a slow rhythm played during the session. Results: This activity showed positive results. Eighty-five percent of participants experienced an increase in knowledge scores after the educational session, and 60% showed a significant decrease in anxiety levels based on questionnaire results. Most participants also reported feeling calmer, more prepared, and more confident in facing childbirth. The satisfaction rate with the activity reached 90%, indicating that the methods implemented were well-received by participants. Conclusion: Complementary therapy combined with education is effective in helping pregnant women manage anxiety before childbirth. This activity emphasizes the importance of a holistic approach to antenatal care.

In today's digital era, technology plays a crucial role in supporting innovative, interactive, and engaging learning processes. Education is no longer limited to the use of conventional textbooks and whiteboards, but has been transformed through the integration of various digital media. In this context, digital literacy has become a key competency that students must possess. Digital literacy encompasses not only the ability to access and understand information from various digital sources but also involves critical thinking and collaborative skills, as well as the wise, ethical, and responsible use of technology. Studies show that the appropriate and targeted use of digital media can increase students' interest in reading materials and other learning activities. Interactive and visually appealing digital media can stimulate students' curiosity, enrich the learning experience, and increase their motivation. Furthermore, the use of digital technology also provides opportunities to develop creativity, communication skills, and problem-solving skills. Technology-based learning enables more effective learning differentiation, allowing students to learn at their own pace and learning style. This is highly relevant in the context of 21st-century education, which demands information literacy, technology literacy, and media literacy. As learning facilitators, teachers are required not only to be proficient in using technology but also to design learning that integrates curriculum content with available digital potential. Therefore, optimal use of digital technology can be a strategic solution in creating a generation that is digitally literate, creative, innovative, and able to adapt to increasingly dynamic and complex developments. To achieve this goal, collaboration between schools, the government, and parents is essential in providing adequate access to and training in sustainable educational technology.

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

The rapid development of information and communication technology has driven the need for information services that are more relevant and adaptive to user behaviour. This research aims to integrate data analytics in the study of user behaviour to support the development of effective information services. The dataset used is Kaggle's Online Retail Dataset, which includes sales transaction data of online retail companies in the UK from December 2010 to December 2011. The analysis was conducted through customer segmentation using K-Means Clustering algorithm and predictive analysis with Association Rule Mining. The segmentation results successfully grouped customers into four main clusters, namely loyal customers, potential customers, passive customers, and low-spending customers. Model evaluation showed optimal performance with an accuracy rate of 85%, precision of 82%, recall of 78%, and F1-Score of 80%, and Silhouette Score of 0.62, indicating effective customer segmentation. The findings prove that the application of data analytics can provide deep insights into customer behaviour and support the development of more personalised and adaptive information services. This research is expected to be a reference in designing data-driven information service development strategies in various sectors.

Hypertension is a disease that occurs to arteries that causes the supply of oxygen and nutrition that the body needs to be blocked. Hypertension is often called a silent killer, because it is a kind of disease that is very harmful but comes without awareness to its victim. People with hypertension in average are up to 40 years old and it happened all of his after life . In common hypertension caused by heredity, unhealthy lifestyle, and triggered by the more salty consumption, alcohol and stress. An expert system could be the solution to solve the problem because this system works just like an expert and was created by the naïve Bayes method with the rules and basic system that are the same just like the hyperantion desease. Through this application, users can consult with this system just like usually people consult with the expert to diagnose the sign that happened to the user and find the solution of what happened to themselves.

Puskesmas Kosambi employs Non-PNS staff whose discipline, particularly regarding attendance and work location, needs to be evaluated. The previous manual attendance system was found to be ineffective in monitoring staff discipline. This study aims to develop a mobile-based attendance system equipped with GPS radius and selfie photo features to improve the accuracy and management of attendance. The GPS radius feature ensures that staff can only clock in within the designated area, such as the Puskesmas area, while the selfie photo feature verifies the identity of the staff member clocking in. This study involved 24 Non-PNS staff members and used the K-Means Clustering algorithm to group staff based on their discipline levels. The results showed that the system was effective in improving staff discipline, with 11 employees categorized as highly disciplined, 10 as moderately disciplined, and 3 as lowly disciplined. The implications of this study suggest that the implementation of a mobile-based attendance system can improve attendance monitoring and enhance work discipline at Puskesmas Kosambi.

Personnel Leave Application Information System Application: The Personnel Leave Information System at the Batu Bara Regency Regional General Hospital is an application built for the web-based leave application process. This research was conducted on the Staff Leave Information System at the Regional General Hospital of Batu Bara Regency using research methods, namely the Observation method, Library Research, Field Research, needs analysis, system design, and system implementation. Use Case Diagram, Activity Diagram, Data Flow Diagram ( DFD), Sequence Diagram, Class Diagram. This application was built using software, namely the PHP programming language, HTML, CodeIgniter, Composer database used by MySQL. The application built operates on the Windows Operating System. The WEB-based Application for the Information System for Applying for Employee Leave at the Batu Bara Regency Regional General Hospital has helped the Batu Bara Regency Regional General Hospital in registering and informing employee leave applications quickly and accurately, and can also provide information to employees to find out whether the leave process has been approved or not. approved.
 

This research analyzes the factors that influence the success of e-commerce applications in increasing sales in the digital era. With the development of technology and changes in consumer behavior, e-commerce has become one of the main platforms for businesses to reach customers more widely. The main factors analyzed include user experience, transaction security, product quality, customer service, digital marketing strategy and innovation. The research results show that the combination of these factors significantly influences purchasing decisions and customer loyalty. Good user experience, guaranteed data security, and effective marketing strategies are proven to increase sales and consumer trust. This study provides important insights for business people in maximizing the potential for implementing e-commerce in the competitive digital era.

The Jayapura City Transportation Agency faces significant challenges in managing traffic violation data due to rapid population and economic growth. The use of Excel-based systems has proven inadequate, so a more integrated and efficient information system update is needed. Thus, the research and development method to design a web-based data archiving information system application with a waterfall methodology approach. It is hoped that this application can improve the efficiency of filing and searching for violation data, as well as support better traffic control in Jayapura City.

This research focuses on developing a cayenne pepper quality detection system using the YOLO (You Only Look Once) V5 algorithm. The system is designed to address the limitations of manual post-harvest sorting by classifying cayenne peppers into three categories: “good” (ripe), “bad” (rotten or dry), and “raw” (green), based on their visual characteristics. A dataset consisting of 565 images was manually collected, labeled using Roboflow, and pre-processed through resizing and orientation standardization. Model training was conducted over 150 epochs, achieving high detection performance with a mean average precision (mAP) of 99.5%, precision of 99.6%, and recall of 99.9%. Real-time testing demonstrated the system’s capability to detect and classify cayenne peppers with exceptional accuracy. This research is expected to enhance the efficiency and accuracy of the cayenne pepper sorting process, while paving the way for the application of YOLO-based systems to other agricultural commodities. Further research is recommended to expand the dataset and optimize model parameters for improved system performance.