Penelitian ini mengeksplorasi penggunaan Realitas Augmented (AR) dalam pembuatan prototipe desain produk, dengan fokus pada aplikasi mobile untuk e-commerce. Tujuan penelitian ini adalah untuk mengevaluasi bagaimana AR dapat meningkatkan proses prototyping dalam desain produk, meningkatkan efisiensi, dan memfasilitasi interaksi lebih baik antara desainer dan pengguna akhir. Metode penelitian melibatkan pengembangan prototipe aplikasi mobile dengan AR dan pengujian dengan pengguna akhir. Hasil menunjukkan bahwa AR mempercepat proses desain, meningkatkan akurasi visualisasi, dan memperbaiki komunikasi desain. Penelitian ini memberikan wawasan tentang manfaat dan tantangan penggunaan AR dalam desain produk.

The rapid growth of digital technology has profoundly impacted both human lives and the environment. According to the 2024 Digital Economy Report: Shaping an Environmentally Sustainable and Inclusive Digital Future, India’s global share of screens, computers, and small IT and telecommunication (SCSIT) waste has increased from 3.1% in 2010 to 6.4% in 2022. The United Nations Conference on Trade and Development (UNCTAD) also reported a 163% increase in India’s generation of electronic waste from SCSIT. E-waste, due to the presence of hazardous materials like heavy metals, lead, and mercury, poses significant environmental and health risks, necessitating proper disposal methods. A key challenge is the growing reliance on digital technologies for essential services, such as e-commerce and e-banking. The expansion of human rights to include digital rights has created a conflict between the freedom of expression and the duty to protect the environment, especially regarding climate change. This article explores the extent of dependency on electronic devices, purchasing patterns, and attitudes toward responsible e-waste disposal and recycling. It examines the effectiveness of India’s current legal and policy framework for e-waste management, focusing on the informal sector’s recycling practices, which pose additional risks. Using empirical data collected from working professionals, students, and homemakers, the study finds that while electronic device ownership is widespread, with most respondents owning more than five devices, e-waste disposal practices are largely irresponsible. Discarded devices are often stored rather than recycled or sold to authorized collectors. This indicates a lack of awareness, resources, and proper infrastructure. The findings underscore the need for a comprehensive policy framework that mandates responsible usage and disposal, empowers municipalities with necessary resources, and penalizes illegal recycling practices.

Vannamei shrimp (Litopenaeus vannamei) is a high-value export commodity with strong demand in local and international markets. This shrimp species excels due to its adaptability, disease resistance, and delicious taste. However, white feces disease poses a serious threat, affecting the shrimp's digestive system, appetite, and growth. To prevent this, the recirculating aquaculture system (RAS) technology is a crucial innovation. This system maintains water quality and oxygen levels through continuous water and oxygen circulation, ensuring the health and productivity of vannamei shrimp.

Computer-based Accounting Information Systems (AIS) have become a vital element in managing organizational finances in the digital era. To explore the role and benefits of computer-based AIS in increasing efficiency, accuracy and transparency of financial reports. By integrating information technology in the accounting process, AIS enables real-time data collection, processing and analysis, thereby supporting faster and data-based decision making, while also identifying challenges faced in implementing AIS, such as user training needs and issues. data security. That computer-based AIS not only speeds up transaction recording and information management, but also increases collaboration between departments and allows for more accurate and timely reporting. Therefore, computer-based AIS has proven to be an important strategic tool for organizations to improve financial performance and competitiveness in increasingly competitive markets.

Background: Hypertensive Disease in Pregnancy (HDK) is a vascular disorder that occurs during pregnancy, arises during pregnancy or in the postpartum periode, and is one of the most common causes of maternal death. Objective: this study was to determine how factors of having a history of hypertension, obesity, and using hormonal birth control impact the incidence of hypertension Disease in pregnancy (HDK). Metodes: the research approach used was analytic observation with a croos sectional design. This study involved 332 pregnant women who come to the Health Center. A sampel random sampling technique, with a sample size of 183 was used. In this study, the independent variables were history of hypertension, obesity, and hormonal birth control use; the incidence of HDK was the dependent variable. Data was collected using a documention study approach with an observation sheets. To analyse the data, a logistic regression statistical test was used with an error rate of ? 0.05. The results showed that pregnant women with HDK were exposed to hypertension 45.6%, and hormonal birth control by 36.3%. The result of bivariate analysis of hypertension history with HDK is o.o1 < ? 0.05, and the variable of obesity with HDK is 0.024 < ? 0.05 and the variable of hormonal birth control history with HDK is 0.21% < ? 0.05. The conclusion of the results showed that of the three factors contributing to the incidence of HDK, only the history of hypertension and obesity had a significant influence, with a history of hypertension accounting for 9.9% of HDK cases. Therefore, it is recommended that Strengthing Integrated Antenatal care for increasing the role of mindwives and general practitioners in better screening of pregnant women at risk.

This analysis was conducted to analyze the performance of intersections and sections around Besakih Temple, especially during religious ceremonies. A field traffic data survey was conducted by installing a handycam at a predetermined point to determine the performance of intersections and roads. Furthermore, secondary data collection is carried out to support the completeness of the required traffic data. So that the traffic data is obtained. After the data is collected, the analysis of intersections and roads is carried out. From the results of the study, it is found that (1) the performance of the intersection is: the postal one intersection has a traffic volume of 7305.3 pcu/hour, a capacity of 5367.61 pcu/hour, a degree of saturation of 1.369, a delay of 19.2 seconds, and an intersection service level. C. At Postal Intersection 2, the traffic volume is 4973.5 pcu/hour, the capacity is 2810.24 pcu/hour, the degree of saturation is 1.77, the delay is 22.06 seconds, and the service level of the intersection is D. At Postal Intersection 3, the traffic volume is obtained traffic is 7391.4 pcu/hour, capacity is 3924.02 pcu/hour, degree of saturation is 1.88, delay is 23.19 seconds and the service level of intersection D. So that the average intersection volume exceeds the capacity of the intersection. (2) The performance of the road segment is only sought for the degree of saturation: the Winana road section is 0.67, the Besakih highway is 0.46, the Kedugung highway is 0.25 and the Batusesa highway is 0.048.

This research aims to explore a web-based payroll information system. The location of the research is at D'Soccer Ungaran Football Stadium, a mini soccer field rental business. From observations, several risks were found in salary management, including: 1) The risk of salary calculation errors due to conventional methods. 2) Risk of corruption and data loss because there is no database yet. 3) Employee salary reports are still prepared manually, less efficient. Based on this problem, the author designed a payroll system with a net method for withholding income tax 21. The use of this method aims to help employees reduce dissatisfaction due to tax deductions. The results of the effectiveness test showed that the new system was more effective than the old system, with a score ratio of 11:20 and performance effectiveness of 44%:80%.

Sarcasm is a form of verbal bullying that often occurs unconsciously by the speaker. This study aims to examine the phenomenon of sarcasm-based verbal bullying in the school environment, focusing on degrading speech acts directed at junior high school (SMP) students in Surakarta, Indonesia. Through interviews with students who have been victims of sarcasm, this research analyzes the forms and impacts of sarcastic remarks they have experienced. The findings reveal that sarcasm is frequently used as a form of mockery or insult aimed at highlighting the victim’s shortcomings, whether in academic, physical, or social aspects. Each sarcastic utterance is analyzed using the theories of locution, illocution, and perlocution, showing that while the utterance may appear as a compliment on a literal level, it contextually demeans the victim. The perlocutionary effect includes feelings of shame, inferiority, and loss of self-confidence in the victim. These findings indicate that sarcasm as verbal bullying has the potential to damage students’ mental health and disrupt their social relationships. This study emphasizes the need for a school environment that supports positive communication, free from speech acts that have the potential to demean others.

Case transfer in management Guidance and counseling is an important process in handling student problems that are too complex. The purpose of this case transfer was to obtain supporting data regarding the students who were transferred to the case and to provide more effective guidance services by experts. This process involves identification, assessment, and transfer of responsibility from one counselor to another counselor or the BK team. For example, a psychological test, a guidance and counseling teacher can collaborate with a psychology institution to obtain data related to students' psychological development. The case transfer program can collaborate with other professionals, such as psychiatrists, police, doctors and other professionals.

Image classification is widely used in everyday life such as in car steering, closed-circuit television (CCTV), traffic cameras, etc. The implementation of image classification can be done using several methods, including neural network and support vector machine models. The neural network method is able to find the right weights that allow the network to show the desired behaviour while the support vector machine method has many dimensions and can overcome linear and non-linear data. In this research, feature extraction was carried out using VGG16 to increase accuracy. This research aims to find out how to implement the neural network and SVM algorithms to classify images and determine the results of analyzing the performance of the two methods. The data used in this study is secondary data consisting of 10 types of large wild cats with a total of 2339 training image datasets and 50 testing image datasets. The research stages consist of data augmentation, model design, model training, and model evaluation. Classification with the neural network model produced an accuracy of 96% and the support vector machine model produced an accuracy of 96%, which means that in a consistent training environment, the two models have the same performance.