Background:Gastritis is an inflammation of the stomach wall caused by irritation of the gastric mucosa. Gastritis caused by bacterial infections such as Helicobacteri pylory and irritant foods and drinks. The problem posed is acute pain. Nursing interventions to address this problem are pain management. Objective: This case study aims to describe the implementation of nursing pain management in gastritis patients with acute pain. Method: This case study design is a descriptive design in the form of a case study with a nursing care process approach. The case study subjects were 4 patients in the emergency room with the criteria of experiencing gastritis with problems acute pain. This case study was conducted at Muhammadiyah Palembang Hospital on March 16- 23, 2023. The nursing implementation provided was in the form of warm compress and deep breath relaxation to reduce pain in gastritis patients, in patient 1 before the implementation of the pain scale was 5 and fell to 3, the second patient initially had a pain scale of 4 decreasing to 2, in patient 3 the initial scale of 5 was reduced to a scale of 2, and finally patient 4 before the technique was carried out. out the pain scale in patients is 5 after being carried out down to a scale of 3. Using data collection techniques by means of observation, and interviews. Results: The research results describe the need for implementation of pain management (warm compress and deep breath relaxation) to reduce pain in gastritis patients from a moderate pain scale to a mild pain scale.Conclusion:There is an influence in implementing pain management on acute pain in gastritis patients.

Monkeypox is a zoonotic disease caused by Orthopoxvirus, presenting clinical challenges due to its visual similarity to other dermatological conditions. Early and accurate detection is crucial to prevent further transmission, yet conventional diagnostic methods are often resource-intensive and time-consuming. This study proposes a deep learning-based classification model by integrating Xception and InceptionV3 using feature fusion to enhance performance in classifying Monkeypox skin lesions. Given the limited availability of annotated medical images, data augmentation was applied using Albumentation to improve model generalization. The proposed model was trained and evaluated on the Monkeypox Skin Lesion Dataset (MSLD), achieving 85.96% accuracy, 86.47% precision, 85.25% recall, 78.43% specificity, and an AUC score of 0.8931, outperforming existing methods. Notably, data augmentation significantly improved recall from 81.23% to 85.25%, demonstrating its effectiveness in enhancing sensitivity to positive cases. Ablation studies further validated that augmentation increased overall accuracy from 82.02% to 85.96%, emphasizing its role in improving model robustness. Comparative analysis with other models confirmed the superiority of our approach. This research enhances automated Monkeypox detection, offering a robust and efficient tool for low-resource clinical settings. The findings reinforce the potential of feature fusion and augmentation in improving deep learn-ing-based medical image classification, facilitating more reliable and accessible disease identification.

Human action recognition involves recognizing and classifying actions performed by humans. It has many applications, including sports, healthcare, and surveillance. Challenges such as a limited number of classes of activities and variations within inter and intra-class groups lead to high misclassification rates in some of the intelligent systems developed. Existing studies focused mainly on using public datasets with little focus on real-life action datasets, with limited research on HAR for military obstacle-crossing activities.  This paper focuses on recognizing human actions in an obstacle-crossing competition video sequence where multiple participants are performing different obstacle-crossing activities. This study proposes a feature descriptor approach that combines a Histogram of Oriented Gradient and Region Descriptors (HOGReG) for human action recognition in a military obstacle crossing competition. The dataset was captured during military trainees’ obstacle-crossing exercises at a military training institution to achieve this objective. Images were segmented into background and foreground using a Grabcut-based segmentation algorithm, and thereafter, features were extracted and used for classification. The features were extracted using a Histogram of Oriented Gradient (HOG) and region descriptors from segmented images. The extracted features are presented to a neural network classifier for classification and evaluation. The experimental results recorded 63.8%, 82.6%, and 86.4% recognition accuracies using the region descriptors HOG and HOGReG, respectively. The region descriptor gave a training time of 5.6048 seconds, while HOG and HOGReG reported 32.233 and 31.975 seconds, respectively. The outcome shows how effectively the suggested model performed.

This research aims to analyze GoPay user sentiments on the X social media platform (formerly known as Twitter) using the Naive Bayes Classifier algorithm. Sentiment analysis was conducted to understand user perceptions and satisfaction levels towards GoPay digital payment services based on their shared comments and reviews. Data was collected through a tweet crawling process containing the keyword "GoPay" within a specific period. The research stages included data preprocessing (case folding, tokenizing, filtering, and stemming), sentiment labeling (positive, negative), word weighting using TF-IDF, and classification using the Naive Bayes algorithm. The results showed that from a total of 1,431 analyzed tweets, 797 data contained positive sentiments, and 643 data contained negative sentiments. With a classification accuracy rate reaching 82.94%. The most frequently positively commented factors included ease of use and offered promotions, while the main complaints were related to technical issues and customer service. This research provides insights for GoPay developers to improve services according to user feedback.
 

This research have intenions to show and understand the legal principles of engagement in agreements when entering into agreements. know about the implementation of the principles of engagement, especially the principle of consensualism in realizing an engagement. The writing of this article applied through the normative legal research method where the author employs a legislative approach and a system of legal concept. The study results indicate that when making an agreement, several principles serve as the foundation of legal proceedings, guiding decisions and actions within the judicial system, as a legal basis this principle can provide an overview of the contract. Numerous guiding principles are available for reference and implementation in various contexts and situations. The principles of association include the principle of freedom of contract, the principle of good faith, the principle of pacta sunt servada, and the principle of consensualism. In implementing consensualism in a contract such as an online buying and selling agreement. Buying and selling online from the point of view of contract law in Indonesia uses Paragraph (1) of Article 18 of the Electronic Information and Transactions Law. There is also a lease agreement where the parties make an agreement. The legal basis for renting a house is explained in Government Regulation no. 44 of 1994, which guarantees legal protection for home owners or tenants. The regulation also explains that a rental agreement can be said to be valid if there is approval or permission from the owner of the dwelling. In accordance with the basic law of renting a house, there are 3 (three) clauses in the house rental agreement

The application of diversion in the juvenile criminal justice system aims to prevent children from undergoing formal legal proceedings that could negatively impact their development. This study analyzes the implementation of diversion in Decision Number 5/Pen.Div/2023/PN Kot Jo and Number 18/Pid.Sus-Anak/2023/PN Kot, involving a 15-year-old minor as the perpetrator of a minor offense. The study highlights the judge's considerations in determining diversion, including the child's age, the type of offense, and the offender's social background. Furthermore, this research examines how the principles of restorative justice are applied through diversion deliberations involving the offender, the victim, their families, and other relevant parties. The findings indicate that diversion in this case successfully reached a voluntary agreement, requiring the offender to return the item and compensate the victim. This agreement not only aims to prevent the negative impact of formal judicial proceedings but also provides an opportunity for the child to rehabilitate and reintegrate into society. These findings emphasize that when implemented effectively, diversion mechanisms can serve as an efficient solution for resolving juvenile delinquency cases without resorting to litigation.

Tebes Lues Village, located in a mountainous area, holds great potential as a production center for high-quality Arabica coffee. Coffee products from this village have been recognized in various local and international markets, known for their distinctive aroma and unique taste. Nevertheless, the productivity and quality of coffee in Tebes Lues Village can still be improved through the improvement of more modern and targeted cultivation techniques, one of which is through the application of proper pruning and fertilization techniques. This study aims to look at the types of pruning and fertilization carried out in Tebes Lues village as an effort to increase Arabica coffee production. The research was conducted with descriptive method by making a questionnaire containing interview questions to get info from respondents (farmers) related. The results of this study obtained that the type of pruning done by tebes lues village farmers is production pruning and branch pruning (Bayonet) and treatment of roots by doing mechanical processing. Fertilizers used by farmers in an organic way are SS, Phoska, ZA and Urea while organic fertilizers used are coffee skin, livestock manure, coffee skin pulp. Coffee production increased for farmers who pruned and fertilized intensively and periodically.

Diabetes Mellitus is a metabolic disease caused by problems in the body in producing insulin, insulin produced is lacking or nonexistent, or it can be due to the insulin receptor not functioning so that cells cannot receive glucose for metabolism (Black, M. J. & Hawks, 2014; Pranata, S & Khasanah, 2017). Diabetic wounds are caused by infection as a result of high blood glucose, thereby increasing bacterial proliferation, and added to the deficiency of the immune system which causes the wound inflammation period to last a long time. In addition, inappropriate treatment of diabetic wounds (ulcers) can worsen the condition of the wound (Ekaputra, 2013). Therefore, proper and optimal wound care is needed. The wound care method that is currently developing is moist wound healing, which is more effective than conventional methods because it is easy to install, can adjust to the shape of the wound, easy to remove, comfortable to wear, does not need to change dressings frequently, absorbs drainage, presses and immobilizes wounds, prevents new wounds from mechanical injury, prevents infection, improves hemostasis by pressing the dressing. Wound care procedures through Debridement and dressing. Wound debridement can accelerate healing by removing necrotic tissue, particulates, or foreign material, and reducing the bacterial load. The conventional method is to use a scalpel and cut away all unwanted tissue including callus and eschar. Saline-moistened (wet-to-dry) gauze dressings; moisture-retaining dressings (hydrogels, hydrocolloids, hydrofibers, transparent films and alginates) that provide physical and autolytic debridement respectively; and antiseptic dressings (silver dressings, cadexomer). Newer advanced dressings are being studied, such as Vulnamin gel made from amino acids and hyaluronic acid used in conjunction with elastic compression have shown positive results.

Gross motor development in children aged 1–3 years is a crucial aspect of growth and development, influenced by various factors, one of which is nutritional status. Good nutritional status plays a role in optimizing children's growth and development, including gross motor skills. This study aims to analyze the relationship between nutritional status and gross motor development in children aged 1–3 years at the Posyandu within the working area of Situ Udik Community Health Center (Puskesmas). This study employs a quantitative design with a cross-sectional approach. The research sample consists of children aged 1–3 years selected using a random sampling technique. Nutritional status was measured using an anthropometric approach, specifically weight-for-age (W/A), while gross motor development was assessed using the validated Denver Development Screening Test (DDST II) observation sheet. Data analysis was conducted using the chi-square statistical test to determine the relationship between nutritional status and gross motor development. The results indicate a significant relationship between nutritional status and gross motor development in children aged 1–3 years (0.013, p ? 0.05). Children with good nutritional status tend to have optimal gross motor development compared to those with undernutrition or overnutrition. These findings suggest that good nutritional status is a supporting factor in early childhood gross motor development. Therefore, regular monitoring of nutritional status and parental nutrition education are essential steps in supporting children's optimal growth and development.

Purpose: This research aims to develop a system interface design solution to address the university’s knowledge management problem with exam proctors. Developing a knowledge management system is expected to maintain the integrity of examinees and reduce the risk of plagiarism. This research identifies user needs in business processes and maps them to relevant features based on previous research.
Methods: This research adopted a user-centered design methodology in developing interface design solutions, which consisted of four stages: understanding the context of use, specifying user requirements, designing solutions, and evaluating against requirements. Semi-structured interviews were used for data collection, and a system usability scale (SUS) questionnaire was employed for design solution evaluation.
Result: This research identified the needs of business processes in higher education in the context of exam proctors and mapped them to a suitable feature solution. Recommendations for information architecture and knowledge management system design implementation in higher education were also provided. This research achieved a SUS score of 74.8, indicating that the developed system met users’ needs.
Novelty: This research provides a practical implementation of developing a knowledge management system in higher education with user-centered design.