Abstract:Bullying cases in Indonesia occupy the top ranking. Bullying behavior often occurs when someone has shortcomings, both physically and mentally. The impact of bullying on students is in the form of decreased appetite, headaches,…
daches, embarrassment, and feeling afraid to socialize in social environments. Increasing students' understanding regarding bullying behavior can reduce bullying cases. Bullying can start from uncontrolled levels of aggressive behavior during childhood. However, this can be prevented by increasing supervision of negative associations from children and friends, starting from modeling good things, filtering out children's friends who have a positive effect. The aim of this intervention is to provide students with understanding and knowledge regarding bullying, its types, etc. Bullying affects both boys and girls. The method based on this intervention consists of 4 stages, namely needs assessment for the Counseling Guidance teacher, distribution of bullying questionnaires to students, Focus Group Discussion (FGD) with students, provision of materials and games in team building. The series of activities were attended by 40 students consisting of 20 men and 20 women from several representatives of departments at Bina Sriwijaya Indonesia Palembang Vocational School. The results of the intervention activities that have been implemented are that students feel openness in terms of both thoughts and feelings regarding bullying behavior. The service activities at Bina Sriwijaya Indonesia Palembang Vocational School have had a very good impact on the entire school community, especially students, subject teachers, guidance and counseling teachers and all staff and equipment at the school. The Principal welcomed and looked forward to further positive activities at Bina Sriwijaya Indonesia Palembang Vocational School. From the results of a questionnaire conducted on community service participants, 87.5% of students strongly agreed with socialization activities to overcome bullying and 12.5% agreed.
Abstract:Technology is developing very rapidly and continues to change from year to year. Therefore, the latest digital marketing trends will continue to emerge which are adapted to the conditions and situations of that year, but…
there are still some groups of people who do not understand the importance of digital trends, because competition for marketplaces or online shopping sites in Indonesia is currently getting tighter, the competition that is happening is not only from domestic shopping sites but also foreign ones that have entered the domestic market. This research aims to analyze the influence of satisfaction, trust and ease of use on customer loyalty in the Shopee marketplace in Dwikora sub-district, Medan Helvetia sub-district. This type of quantitative research with the independent variables used in this research is satisfaction, trust and ease of use and the dependent variable used is customer loyalty. The population used in this research is all people in Medan Helvetia sub-district. This research took samples using a purposive sampling method and there were 100 respondents who were deemed worthy of being research criteria. The research results show that partially and simultaneously satisfaction, trust and ease of use have a significant positive effect on customer loyalty.
Abstract:Bread product sales have become an important aspect of the bakery business, influenced by fluctuations in demand that are not easily predictable. Efficient sales management requires a deep understanding of sales patterns.…
. This study aims to optimize bread product sales by using the K-Means Clustering algorithm to analyze daily sales performance at Toko Roti Amin. The data used includes sales volume and transaction frequency for bread products, consisting of 356 data points. The results show that the bread products can be grouped into three clusters: 129 data in the “Good Sales” cluster, 28 data in the “Moderate Sales” cluster, and 199 data in the “Low Sales” cluster. These findings assist bakery owners in managing stock, production planning, and more targeted marketing strategies. Although there are limitations in using K-Means Clustering, such as dependence on the initial centroid selection, this study proves that applying this technique can enhance inventory management and maximize profit in the bakery business.
Abstract:Technological advances support digital transformation in sales data management. Wan Toys & Sport stores face difficulty understanding sales patterns, such as the highest sales months and most popular products. This research…
rch uses the K-Means clustering method with the CRISP-DM approach to group sports products based on their sales level. The analysis results show that this method is able to divide products into three categories: high, medium and low, thus providing strategic insight for stock management and marketing. Products with high sales are prioritized for stock, while products with low sales are targeted for promotion. This method effectively supports operational efficiency and data-based decision making at Wan Toys & Sport stores.
Abstract:This research aims to apply the Naïve Bayes method to determine the eligibility of receiving the Smart Indonesia Program (PIP) at the 017107 Kisaran Naga State Elementary School by analyzing 207 student data. The CRISP-DM…
DM approach was used through six stages: business understanding, data understanding, data preparation, modeling, evaluation, and implementation. The variables analyzed included means of transportation, KPS and KIP recipients, worth a pip, reasons for eligibility, number of siblings, distance from home to school, and parents' income.
The results showed that this method achieved 89% accuracy, 85% precision for the positive class, and 92% for the negative class. A total of 125 students (59.9%) were declared eligible to receive assistance, while 82 students (40.1%) did not meet the criteria. The Naïve Bayes method is effective in supporting decision-making for the provision of targeted educational assistance
Abstract:Education plays an important role in improving the quality of human life, but economic constraints often prevent many students from continuing their education. The Smart Indonesia Program (PIP) was launched to address these…
ese issues by providing educational assistance. However, in its implementation, the selection of PIP recipients at IT Al-Ikhsan Private Junior High School is still inaccurate. This research aims to classify the eligibility of PIP recipients using the Naive Bayes method. This method is applied to student data from the school's Dapodik in 2024 which consists of 265 students. The data is processed through CRISP-DM data mining stages, namely Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. As a result, the Naive Bayes model showed an accuracy of 92.31% with a precision value for the “Yes” class of 89%, recall 100%, and F1-score 94%. In conclusion, variables such as means of transportation, KPS and KIP recipients, parents' income, and distance from home to school affect the eligibility of PIP recipients.
Abstract:The development of information technology provides solutions for increasing efficiency and accuracy in decision-making, such as in determining students eligible for BLT at SD Swasta IT ABI Husni. This study aims to implement…
ment the Naive Bayes algorithm to support a more objective BLT recipient selection process. The method used is CRISP-DM, starting from understanding the problem, data preparation, to model implementation. The data analyzed included type of residence, KPS recipients, parents' income, KIP recipients, number of siblings, distance from home and reasons for eligibility for BLT used were data from students of SD Swasta IT ABI Husni in the odd semester of 2024/2025, with a total of 137 data. The results of the study showed that the Naive Bayes algorithm was able to achieve an accuracy level of 98% with precision and recall of up to 100%, proving the effectiveness of the model in minimizing classification errors. In conclusion, the use of the Naive Bayes algorithm can help make decisions that are more targeted, transparent, and fair in the distribution of BLT.
Abstract:The educational approach in Indonesia, especially at Madrasah Tsanawiyah (MTs) Daarussalam, must respond to the challenges of globalization and rapid advances in information technology. This change requires a transformation…
ion of the learning system from conventional methods that are oriented toward memorization to an educational model that is more interactive and relevant to the needs of the times. Critical, creative, and adaptable skills are a must for graduates to compete in the dynamic world of work. Integrating digital technology in learning, such as the use of AI-based learning tools and digital platforms such as ChatGPT, has the potential to increase student participation and provide a more individualized approach to teaching. In this context, MTs Darussalam is committed to carrying out transformation by increasing teachers' understanding of educational technology and implementing professional training. By implementing a collaborative and creative digital learning model, it is hoped that students can develop into critical thinkers and problem solvers ready to face future challenges. This transformation is not just a change in methods but an educational investment aimed at building competitive human resources in the global era.
Abstract:Households, as the smallest environment in society, contribute to the generation of waste. To reduce the occurrence of soil, water and air pollution in the environment due to household waste, organic waste can be processed…
ed into compost. The purpose of this activity is to increase the knowledge of partners through awareness and demonstration and invite the community to manage organic waste in their environment to be composted. The service was conducted in Bukit Permata Sumbari II Housing located in Pekanbaru. The partners are housewives who live in the housing with a total of 15 people. Activity methods include awareness raising, counseling, demonstration and evaluation. The knowledge and understanding of housewives in Bukit Permata Sumbari II Housing towards processing household waste into compost increased by 23.70%. Participants had basic knowledge about the utilization of household waste into compost by 69.63%, while after counseling it increased to 93.33%. Housewives have the skills and are able to make compost, although the results are not optimal because the organic waste is still large, so the composting process takes a long time.
Abstract:Online learning uses the internet network during the learning process, making it easier for students to access material and facilitating interaction with lecturers and other students. The aim of this research is to understand…
stand the impact of online learning on the interest and learning outcomes of Basic Mathematics for Civil Engineering students. The population of this research is first semester Civil Engineering students T.A. 2021/2022 totaling 30 people. The methods used to understand the impact of online learning on the interests and learning outcomes of Basic Mathematics for Civil Engineering students are qualitative and quantitative methods. The r test results show that rcount > rtable or 0.9998 > 0.306. This means that online learning influences students' interest in learning Basic Mathematics in the Civil Engineering Study Program. The results of the t test show that tcount ≥ ttable is 4.01 ≥ 2.045 so that online learning also influences the Basic Mathematics learning outcomes of Civil Engineering Study Program students. Students' ability to answer test questions during online learning was 76.67%.