Excise has a role to ensure that the circulation of certain excisable goods has met the distribution standards set by the government. Legal circulation of excisable goods is important so that people in consuming goods, such as tobacco products (cigarettes) have met the distribution standards, in addition to providing education to the community to participate in efforts to increase government revenue in terms of excise rates. Efforts to prevent illegal cigarettes will be effective if they involve various parties, both from law enforcement, universities and the community to help the state maximize state revenue. The goal to be achieved in this activity is to provide an understanding to students about the importance of understanding the importance of working together to prevent the circulation of illegal cigarettes in the community because in addition to having legal impacts on perpetrators and dealers, illegal cigarettes can also reduce state revenue.alization of illegal cigarettes

Fraud in digital transactions has become a serious issue threatening the security and integrity of the fintech and e-commerce sectors. To address this problem, machine learning technology has emerged as an effective solution for automatically detecting anomalies and fraudulent transactions. This study aims to analyze the application of machine learning algorithms, specifically Support Vector Machine (SVM), Random Forest, and Ensemble Learning, in detecting fraud in digital transactions. The research adopts a quantitative approach with experimentation, testing the effectiveness of the three algorithms using a digital transaction dataset consisting of both fraudulent and non-fraudulent transactions. The results show that the Random Forest algorithm performs the best in terms of accuracy and recall, followed by Ensemble Learning, which enhances fraud detection performance by combining multiple prediction models. Meanwhile, SVM demonstrates satisfactory performance but is prone to overfitting issues when handling large and complex datasets. The study also finds that the problem of imbalanced data can affect model accuracy, and data balancing techniques such as oversampling are required to improve fraud detection performance. Overall, the findings suggest that machine learning, particularly Random Forest and Ensemble Learning algorithms, can be relied upon to improve fraud detection in digital transactions. However, challenges such as model interpretability and the need for periodic algorithm updates still need to be addressed to enhance the effectiveness of fraud prevention systems in countering the ever-evolving nature of fraud.

This research compares the techniques used in the file system structures of Windows and Linux. Each operating system employs distinct approaches to data organization, access, and management, as reflected in their respective file systems: NTFS for Windows and ext4 for Linux. The study explores the strengths, weaknesses, and applications of these systems under various conditions. By analyzing both theoretical documentation and empirical experiments, this research highlights the technical and philosophical aspects influencing the design and performance of file systems in Windows and Linux. The findings provide insights for selecting an appropriate file system based on specific requirements, emphasizing performance, reliability, and usability.

Garut is one of the areas that has local cultural wisdom that is still beautiful and preserved. The diversity of existing plants has sufficient economic value and has potential as alternative ingredients and medicines. The people of Garut still cultivate and use plants as alternative medicines that can cure various diseases. The Mustajab plant or Gedi Leaf with the scientific name Abelmoschus manihot of the Malvace family is one of the herbal plants that has long been used by the people of Sindangsari village as a fever reducer or pyretic in babies. Pyretics is a condition in which the body experiences an increase in temperature above normal limits due to a response to infection or inflammation. This research was conducted in Sindangsari Village, Leuwigoong District, Garut Regency. The method used in this research is an exploratory survey method. The data collection technique uses a purposive sampling method. This research data analysis uses qualitative and quantitative methods. To calculate the use value, the UV method is used. Apart from that, the Fidelity Level Index (FLI) method is also used. Mustajab leaves are included in the category of plants with metabolite compounds which can produce compounds from the soil itself. Mustajab leaves can cure fever in babies because they contain many active compounds, one of which is flavonoid compounds. Based on the results presented in the table, it can be seen that the highest FL value is in the mustajab plant which is used as a treatment for fever in babies with a FL value of 51.5%. Based on the results table, it can be seen that the highest UV value is in the use of mustajab leaves as a medicine for baby fever with a UV value of 0.51. There are many processing and application methods for using mustajab leaves as traditional medicine, including boiling, squeezing and pounding. Based on the data above, it can be concluded that mustajab leaves are one of the traditional food plants which are usually used by rural communities as an alternative medicine to reduce fever in babies.

Information technology (IT) has become a key element in the development of the financial industry, including Islamic banking. A primary challenge for IT management in Islamic banks is data security from cybercrime, which can damage the bank’s reputation and customer trust. This study aims to further examine the challenges and efforts that Islamic banks can undertake to enhance IT security. The research methodology uses a qualitative approach with descriptive methods and literature review to describe the phenomenon in depth based on data and information from various relevant literature sources. The study’s findings show that Islamic banks need to strengthen security through encryption, continuous monitoring, and employee training on cybersecurity. The conclusion of this study recommends that Islamic banks continue to raise awareness among employees and customers about security risks and ensure regulatory compliance. This research is expected to serve as a reference for Islamic banks in maintaining information security in the digital era.

Soil pollution is a global problem with anthropological and natural sources. Pesticides are chemical compounds used to eradicate pests. Pesticides are chemical or biological agents that can weaken, paralyze, and kill pests. According to a report by FAO (2021), global pesticide use reaches more than 4 million tons per year, with Asia accounting for nearly 50% of total consumption. In Indonesia, data from the Ministry of Agriculture (2022) shows that pesticide use increased by 15% in the last decade. Unfortunately, the intensive and uncontrolled use of pesticides has triggered the accumulation of harmful residues in the soil, creating a serious threat to soil, environmental, and human health. The purpose of this study was to determine how the utilization of microbiology in the bioremediation of agricultural soil polluted with pesticides. The method in this journal article uses a library study (library research), namely a method with data collection by understanding and studying theories from various literatures related to the research. The results show that soil bioremediation to reduce pesticides in agricultural soils can be done by utilizing specific or local microorganisms (bacteria and fungi), or enzymatic degradation. Although in laboratory scale, many findings on soil bioremediation are available in the literature, only few data on real scale activities can be found.
 
 

Traditional markets play an important role in the local economy in Indonesia, especially in creating jobs, income distribution, and preserving culture. This study uses a Systematic Literature Review (SLR) approach to analyze literature related to the role of traditional markets in improving the economy of people in Indonesia. Through the analysis of relevant scientific articles, it was found that traditional markets contribute to the informal sector, creating jobs, reducing economic disparities, strengthening social networks, and preserving local traditions and culture. However, challenges such as competition with modern markets and inadequate infrastructure are the main obstacles to the sustainability of traditional markets. This study recommends that revitalizing traditional markets through modernizing facilities, empowering traders, and implementing digital technology should be a policy priority to support inclusive and sustainable local economic development.

Providing additional recovery food (PMT), especially for vulnerable groups, is one of the supplementation strategies in overcoming nutritional problems so that cases of malnutrition and malnutrition can be prevented. The aim of this research is to determine the effect of giving supplementary feeding (PMT) biscuits to underweight toddlers on increasing the weight of toddlers at the Rantau Selamat Community Health Center, East Aceh in 2024. This quasi-experimental research uses a one group pre-post test design, namely the existing research design. pretest before being given treatment and posttest after being given treatment. The sample for this research was the entire research population, namely 61 people. Based on the results of this research, the weight status of respondents before the implementation of the PMT program at the Rantau Selamat Community Health Center was underweight for 10 toddlers. The results of the paired T-test statistical test in the second month, the change in toddler's weight before and after PMT-P was shown by the value p=0.000 (p<0.05), so it can be concluded statistically that there is an effect of giving additional food (PMT) on weight status in underweight toddlers (aged 6-33 months). Through this research, it is hoped that it can provide education and increase insight to parents of suffering toddlers to pay more attention to the food intake they consume every day. So that toddlers get adequate nutritional intake in an effort to improve the child's nutritional status.

This study aims to analyze the influence of teachers' personality competencies on the formation of students' character in Senior High School (SMA). Teachers' personality competencies, such as discipline, responsibility, empathy, and example, play an important role in the character education process in schools. Teachers with positive personalities are able to create a conducive learning environment and provide good examples of behavior for students, thus helping the formation of strong and moral student character. Through social interaction in the school environment, students can develop positive attitudes, such as a sense of responsibility, hard work, honesty, and independence, which are essential for community life. This research is included in a qualitative research with a literature study approach to explore the influence of personality competence on character formation. The results of the study show that the teacher's personality competence has a significant influence on the development of students' character. The conclusion of this study is that teacher personality competence is one of the key factors in character education in high school.

Adolescence is a phase that is prone to experiencing FoMO behavior. FoMO experienced by adolescence has the potential to cause feelings of loss, stress, and feeling distant if they do not know about important events of other individuals or groups. The FoMO experienced by adolescence indicates that their motivational factors are not developed optimally. The motivational factor referred to is self-esteem. Someone who has high self-esteem in general will be more able to be positive in making an assessment of himself.. This research aims to find out the relationship between self-esteem and FoMO in adolescent social media users at SMA N 1 Muntilan, Magelang Regency. The population in this study is 1056 students of SMA N 1 Muntilan. From this population, the research sample was taken using the proportionate stratified random sampling technique of 286 students based on the Isaac and Michael table formula. Data collection was carried out using a modification of the Fear of Missing Out Scale (FoMOS) and the Rosenberg Self-esteem Scale. The data was tested with product moment pearson through the SPSS 25 for windows program. The research results show that there is a significant negative relationship that is in the very weak category between self-esteem and FoMO in social media users at SMA Negeri 1 Muntilan. This means that even though adolescence have good self-esteem, it is not enough to prevent them from FoMO.