Air quality in Western Java is highly dynamic and shaped by environmental changes influenced by intense human activities. Aerosols—tiny particulate matter that affects air quality, weather, and climate—can be quantified using Aerosol Optical Depth (AOD), which measures aerosol concentrations in the atmospheric column. This research uses spatial regression analysis to examine the spatial distribution of AOD from GEE’s platform (Google Earth Engine) and its relationship with rainfall and wind patterns during both the wet and dry seasons. The findings indicate that wind speed does not significantly impact AOD values, but wind direction does affect the distribution of rainfall and AOD, likely due to the monsoon system. During the wet season (December to March), high-intensity and widespread rainfall effectively cleanses the atmosphere of aerosols, leading to no significant effect on AOD (p-value > 0.05). In contrast, during the dry season, rainfall significantly influences AOD spatial patterns (p-value < 0.05). These results highlight the intricate interplay between meteorological factors and aerosol’s behavior, emphasizing the seasonal variability in their interactions.

This study aims to examine the influence of Brand Ambassadors and Digital Payment on Purchase Decisions, with Impulsive Buying acting as a mediating variable in the context of Scarlett Whitening products. A quantitative research method was employed, utilizing a survey approach through questionnaires distributed to 157 respondents who had previously purchased Scarlett Whitening products. The results indicate that both Brand Ambassadors and Digital Payment have a positive and significant impact on Purchase Decisions, both directly and indirectly through the mediation of Impulsive Buying. The findings suggest that consumers tend to make quicker and less deliberative purchase decisions when influenced by appealing Brand Ambassadors and the convenience of Digital Payment options. Furthermore, this study highlights the crucial role of Impulsive Buying as a behavioral factor that strengthens the relationship between marketing strategies and consumer purchasing behavior. The implications of this research provide valuable insights for businesses, particularly in the beauty and skincare industry, on how to optimize their marketing strategies. Companies can enhance their brand appeal and drive higher purchase rates by strategically leveraging Brand Ambassadors and offering seamless Digital Payment methods. Ultimately, this study contributes to the growing body of knowledge on consumer behavior and digital marketing strategies in the modern retail landscape

This study aims to address the low interest in learning among students in the Social Studies subject at SMPN 1 Ngunut, caused by monotonous conventional teaching methods. The field trip method is implemented to provide direct learning experiences, linking theory to real practice. The research problem includes the influence of the field trip method on the interest in learning Social Studies among eighth-grade students. Using an associative quantitative approach, the research population consists of 386 students, with a sample of 40 students selected randomly. Data were collected through interviews, questionnaires, and documentation, and analyzed using simple linear regression. The results indicate a positive and significant influence of the field trip method on students' interest in learning Social Studies, with a strong effect of 64.2%. The t-value (7.935) exceeds the critical t-value (2.02439) with a significance level of 0.00, thus the alternative hypothesis is accepted. The correlation coefficient (R) of 0.790 indicates a strong relationship, meaning that the application of this method increases students' interest in studying Social Studies.

Banyaknya lereng pada pembangunan IPAL 1 KIPP IKN menyebabkan adanya potensi longsoran yang membahayakan lingkungan disekitarnya. Faktor yang sering mengakibatkan kelongsoran yaitu pengaruh geometri dan penyusun material tanah lereng tersebut. Tujuan dari penelitian ini adalah menganalisis stabil atau tidaknya suatu lereng yang ditunjukan dalam bentuk nilai Faktor Keamanan. Penelitian menggunakan dua metode, yaitu metode Bishop Simplified dan metode elemen hingga. Data yang digunakan pada penelitian ini yaitu geometri lereng pada jalan akses lingkar kanan IPAL 1 KIPP IKN dari Sta 0+340 s/d Sta 0+380 dan data penyelidikan tanah dari PT. YODYA selaku konsultan perencananya dengan tinggi lereng 25 m, lebar 20,6 m, nilai kohesi tanah (c) = , berat volume tanah , dan sudut geser tanah . Penelitian ini didapatkan hasil Faktor Keamanan dengan metode Bishop Simplified sebesar 1,7 dan metode elemen hingga sebesar 1,7. Berdasarkan nilai Faktor Keamanan yang disarankan SNI-8460 yaitu 1,5 berarti lereng tersebut aman karena nilai Faktor Keamanan lerengnya lebih besar dari yang disarankan.

This study aims to analyze the influence of interactive teaching methods and student involvement on student learning interest and motivation at SDN Kampung Melayu V through the BSI Explore Program. Using a quantitative descriptive approach with a survey, data were collected through questionnaires filled out by students participating in the program. The results show a significant positive impact between interactive teaching methods and active student involvement on the improvement of their learning interest and motivation. Students who actively participated in activities such as discussions, experiments, and practical tasks showed higher levels of learning interest compared to those who were less involved. These findings underline the importance of using teaching methods that prioritize active interaction to improve the quality of education and student motivation. Therefore, the results of this study recommend integrating interactive teaching methods and active student involvement into educational programs to encourage greater learning interest among students.

In the current era of globalization, science and technology are developing rapidly. One example of very popular technology is gadgets. Gadgets have a positive impact on children's thinking patterns, such as helping them regulate the tempo when playing, designing strategies in games, and improving right brain abilities. Notwithstanding these benefits, the use of gadgets can have detrimental effects on children's development, with a heightened impact on teenagers. The radiation produced by gadgets can damage a child's nerve tissue and brain if used too often. More importantly, children become less mobile and are rarely exposed to sunlight, which affects their physical health. As a result, children tend to become less interactive, less creative, and more comfortable being alone with their gadgets. This can trigger individualistic attitudes and reduce feelings of concern for parents, friends and other people around them, as well as their physical health. Physical education and sports carried out in the right proportions can make children fitter, so they can remain active and productive.

The study described investigates the application of Brain-Computer Interface (BCI) technology, focusing on Motor Imagery (MI) signals which enable individuals to control movements through mental visualization. A major challenge in this field is accurately distinguishing between different movements, particularly when dealing with data from multiple subjects and recording sessions, known as inter-subject and inter-session variability. To address this, the authors employ the Wavelet Packet Transform-Common Spatial Patterns (WPT-CSP) method to enhance the resolution of MI signals. They visualize the results using Brain Topographic Maps (Topomaps) to depict brain activity during MI tasks, facilitating the analysis of variability across subjects and sessions. Utilizing dataset 2a from the Brain-Computer Interface Competition (BCIC) IV, the study demonstrates the efficacy of this approach in identifying variability patterns. This research holds promise for improving BCI technology applications in various domains, and future work could explore refining signal processing techniques and validation on larger datasets. Topomap.

Umah Lokal Coffee Roastery is a business engaged in the production and marketing of coffee beans. This study aims to optimize the production combination to maximize profits using the Linear Programming method. This method enables the company to determine the optimal production quantity for each type of product, namely Telek Beans, Barong Beans, Jauk Beans, Gerbera, and Daisy. The analysis results indicate that the optimal production combination includes producing 128 units of Telek Beans, 155 units of Jauk Beans, 85 units of Gerbera, and 189 units of Daisy, while the production of Barong Beans is discontinued. Implementing this strategy has the potential to increase profits by Rp1,124,417 or 6.4%. This research contributes to the development of more efficient production strategies in dealing with resource constraints.
 

Indonesia’s waste management system struggles to keep pace with rapid population growth and urbanization, resulting in inefficient waste collection, environmental degradation, and low recycling rates. The country predominantly relies on open dumping and landfilling, which contribute significantly to pollution and greenhouse gas emissions. This study explores the transformative role of Artificial Intelligence (AI) and the Internet of Things (IoT) in waste management, focusing on smart waste collection, automated sorting, real-time monitoring, and predictive analytics. AI-driven waste classification enhances recycling efficiency, while IoT-enabled smart bins optimize collection routes, reducing operational costs and landfill dependency. Despite these advantages, challenges such as high implementation costs, digital infrastructure limitations, and data privacy concerns hinder widespread adoption. This study highlights that policy support, investment in digital infrastructure, and stakeholder collaboration are crucial for successful implementation. By leveraging AI and IoT, Indonesia can significantly improve waste management efficiency, minimize environmental impact, and advance circular economy initiatives. The findings suggest that, with the right policies and investments, AI-driven waste management can drive sustainability, reduce waste mismanagement, and promote resource optimization, making it a vital strategy for future urban development in Indonesia.
 

This study aims to analyze the effect of e-wallet usage on consumer savings behavior and spending patterns in Indonesia. In the digital era, e-wallets have become a commonly used transaction tool due to their convenience, speed, and various promotional features offered. However, behind their convenience, e-wallets also pose new challenges in personal financial management, such as increased consumer behavior and decreased savings intentions. This study uses a quantitative explanatory approach with a cross-sectional survey design to understand the relationship between the intensity of e-wallet usage and consumer savings and spending habits. The results of the study show that ease of transactions and digital incentives can encourage spontaneous consumption behavior and weaken awareness of the importance of saving. However, with adequate digital financial literacy, e-wallets also have the potential to be a tool in managing finances wisely. This study emphasizes the importance of digital financial education so that people can utilize financial technology in a healthy and sustainable manner.