The rapid development of the car rental industry demands a more sophisticated, efficient, and safe fleet supervision system. This research aims to design and implement an Internet of Things (IoT)-based monitoring and safety system with live tracking features on rental vehicles. The system incorporates a GPS module for location tracking, an ESP32 S3 microcontroller as a data processing center, as well as a geofencing feature to detect vehicle movements outside of a predetermined operational area. Data is sent and monitored in real-time through the Telegram platform. The test was conducted to analyze the effect of distance on the response time of the data transmission, as well as the relationship between engine rotation (RPM) and engine temperature. The results showed a positive relationship between distance and response time, where the farther the vehicle is from the Base Transceiver Station (BTS), the greater the delay value, with an average response time of 5,402 ms. Meanwhile, the highest engine temperature was recorded at 2000 r/min at 96°C, but the temperature returned to stability at 4000 r/min due to improved cooling efficiency. As an effort to prevent overheating, the system is equipped with a second fan motor that is active in the temperature range of 96°C to 94°C.  Statistical tests using ANOVA One-Way and normality tests showed a significant influence between variables, so that the system designed proved to be effective in improving the supervision and safety of rental vehicles.

This study aims to evaluate the influence of the physic|al environment on student s|atisf|action |at Dju|and|a University, Bogor. |A qu|antit|ative method with |a survey |appro|ach w|as used to collect d|at|a from 50 students through questionn|aires. Multiple line|ar regression |an|alysis using SPSS version 26 reve|aled th|at the qu|ality of the physic|al environment—which includes |aspects such |as |air qu|ality, lighting, color, |and sound—h|as |a positive |and signific|ant imp|act on student s|atisf|action. These findings suggest that improving the physical environment can be an effective strategy to enhance student satisfaction and academic achievement

One of the main strategies used by the government to empower communities and accelerate the economic growth of a country is the existence of Micro, Small, and Medium Enterprises (MSMEs). Digital technology, in addition to other technical advances, is currently having a major impact on society by making it easier for businesses of all sizes to operate and gain recognition across borders. The main objective of this study is to find out how the use of advanced technology can boost the income of MSMEs in Buahbatu. This system uses the SPSS 26 variation program to integrate various iterative examination processes. Both additional information and information used are equally significant. The scientists themselves collect research data through a selection process using observational polls with a questionnaire list. The results of the study show that the application of digital technology has a positive and significant impact on the growth of income of Micro, Small, and Medium Enterprises (MSMEs) in Buahbatu Regency. This study shows that the use of digital technology can increase marketing space, income, and output.

This study aims to determine the influence of financial literacy, use of investment platforms, and herding behaviour on investment decisions among Generation Z in Jabodetabek. The method used in this research is a quantitative approach through instrument testing, classical assumption testing, hypothesis testing, and multiple linear regression analysis using SPSS 26. The accessible population in this study consists of 255 students, with a research sample of 156 students selected using proportionate stratified random sampling. The data used in this research is primary data obtained through questionnaires distributed via Google Forms. The results of the study conclude that: (1) the financial literacy variable has a positive effect on investment decisions; (2) the use of investment platform variable has a positive effect on investment decisions; (3) the herding behaviour variable has a positive effect on investment decisions; (4) the variables financial literacy, use of investment platform, and herding behaviour have a simultaneous influence on investment decisions.

This study aims to analyze the digital marketing strategies implemented by clothing stores in the Telang area from a sharia economic perspective. In the digital era, business actors are required to adapt to technology, including in terms of promotion and marketing. The approach used in this study is descriptive qualitative, with data collection through observation, interviews, and documentation. The results of the study show that most business actors have utilized social media such as WhatsApp, Instagram, and Facebook Marketplace to market their products. The strategies implemented are mostly in line with the principles of sharia economics such as honesty (?idq), openness (tabligh), and amanah. However, some practices that are not in accordance with sharia are still found, such as the use of photos that do not match the original product (gharar) and excessive promotion (tadlis). The main inhibiting factors in the implementation of sharia digital strategies are limited digital literacy and infrastructure. Therefore, ongoing assistance and training in sharia-based digital marketing are needed to improve understanding and business practices in accordance with Islamic values.

Entrepreneurial interest is the desire, motivation, and drive to interact and do everything with enthusiasm to achieve goals by working hard, and opening opportunities with skills and confidence. This study aims to analyze the entrepreneurial interest of vocational high school students and identify factors influencing entrepreneurial interest, including entrepreneurial knowledge, family environment, and industrial work practice. The results show that entrepreneurial knowledge positively influences self-efficacy, the family environment positively influences self-efficacy, and industrial work practice influences self-efficacy. The total effect of entrepreneurial knowledge on entrepreneurial interest through self-efficacy is 19.27%, the family environment on entrepreneurial interest through self-efficacy is 56.68%, industrial work practice on entrepreneurial interest through self-efficacy is 14.46%, and self-efficacy positively affects entrepreneurial interest by 38.07%. Sobel's test results show that self-efficacy is a mediating variable. The results indicate that all independent variables studied have a positive and significant influence on the entrepreneurial interest of students at State Vocational High Schools in Business and Management in Semarang City

Student learning outcomes remain an important aspect that serves as a standard for the success of learning in schools. Therefore, it is important to understand student learning outcomes. The purpose of this study is to determine the utilization of Madrasah e-learning as a learning media for the economics subject at the State Islamic Senior High School in Demak and to determine the effectiveness of the utilization of Madrasah e-learning in improving student learning outcomes. This research was a quantitative descriptive study. The population in this study consisted of 403 students from the twelfth grade of State Islamic Senior High School of Demak. The sampling technique used was purposive sampling. The data processed in the study used primary data obtained from observations, questionnaires, and learning outcome data distributed directly to Grade XII students of State Islamic Senior High School of Demak. The data analysis method used was descriptive analysis and the difference test between the experimental class and the control class using the Mann-Whitney U statistical test. The results of this study indicate that madrasah e-learning has been proven effective in increasing student learning outcomes, with the percentage of improvement in the experimental class being higher than that of the control class. Learning through web-based media is more effective in increasing student learning outcomes. A suggestion for future research is to examine the differences in the use of madrasah e-learning between young and senior teachers.

This study aims to create and develop a product in the form of a differentiation-based inquiry learning method on the subject of economic problems in the accounting expertise program at SMK. The purpose of differentiation learning is to provide a learning experience that is in accordance with the level of readiness, interests, and individual learning styles of students. This study adopts the Research and Development (RnD) approach that adopts the 4D (Four-D) development procedure. The data used is factual data that has been implemented so far. This study did not use a trial but FGD ( Focus Group Discussion) by expert practitioners and academics . In addition, this study was also conducted to determine the activeness of students in differentiation learning in economics learning at SMK. This study was conducted at SMK Kudus Regency, namely SMK N 1 Kudus and SMK PGRI 1 Kudus. The results of this study are in the form of a differentiation-based inquiry learning method , the product is equipped with (1) Differentiation-based inquiry learning method; (2) Differentiation-based inquiry learning method guide; (3) Teaching Guide for differentiation-based inquiry learning economics learning that has been developed has been valid (qualified) to be used as a teaching guide for class XI economics learning in the accounting expertise program at SMK. The characteristics of the method developed are inquiry learning methods based on differentiation of economic problem topics. The products developed are teaching guides and design of inquiry learning methods based on differentiation. The results of the FGD showed that an average of 93% was obtained which was categorized as "very feasible" for the final model. The suggestion of this research is to apply the differentiation-based inquiry learning method to the results of this research for teachers to be able to use this method, they must pay attention to the characteristics of each student, class characteristics, facilities, etc. So that the differentiation-based inquiry learning method can be used effectively.

Menstrual hygiene is an important component of personal hygiene that plays a significant role in an individual's health behavior, helping to prevent disorders in reproductive organ function. This study aims to determine the effect of health promotion on the level of menstrual hygiene knowledge among children aged 13–15 years. The study design used a pre-experimental approach with a one-group pre-posttest design. The population consisted of 110 respondents, and using simple random sampling, 83 respondents were selected. Data for this study were collected using a knowledge level questionnaire. After tabulation, the data were analyzed using the Wilcoxon test with p < 0.05. The results showed that nearly all female students (108, or 98.2%) had insufficient knowledge of menstrual hygiene before receiving health promotion. Almost all female students after receiving health promotion had adequate knowledge of menstrual hygiene, totaling 88 (80.0%). Based on the above results, the effect of health promotion on the level of knowledge of menstrual hygiene among children aged 13-15 years was found to be p = 0.000 (p < 0.05). This indicates that health promotion has an effect on the level of knowledge about menstrual hygiene among girls aged 13–15 years. Therefore, it is hoped that female students will always maintain their genital hygiene by practicing proper personal hygiene in accordance with the guidelines provided by healthcare professionals, especially during menstruation.

In today's digital era, awareness of mental health issues is growing significantly. Many individuals are now more open about sharing their psychological conditions through written texts on social media, forums, and surveys. This phenomenon presents an opportunity to leverage technology for the automatic detection of mental disorders through text analysis. This study aims to implement the Bidirectional Encoder Representations from Transformers(BERT) model to identify mental health conditions such as depression, bipolar disorder, anxiety, suicidal tendencies, and others. The dataset was sourced from Kaggle and underwent several preprocessing stages, including data cleaning, tokenization, and text classification model training. This BERT model achieved strong performance, with an accuracy of 91% and an average F1-Score of 0.91. These results demonstrate the model's effectiveness in identifying various psychological expressions. The findings highlight the potential for developing early detection systems that are faster, more objective, and widely accessible. However, this study acknowledges limitations in dataset diversity, suggesting future work to incorporate more varied data sources and explore other NLP models to enhance detection accuracy and coverage.