Employee attendance is a crucial factor in human resource management as it affects productivity and operational efficiency. However, the recording and analysis of employee attendance often encounter challenges, particularly in terms of the accuracy and effectiveness of the systems used. This study aims to develop an employee attendance classification model using the Gradient Boosted Trees algorithm to improve the accuracy of grouping attendance categories such as Present, Permission, Sick, Leave, and Absent into attendance level categories: High, Medium, and Low. The research method includes collecting employee attendance data throughout the year 2024. The model evaluation is carried out using metrics such as accuracy, precision, recall, and the confusion matrix. The results indicate that the developed model achieves an accuracy of 100.00%, with a mean precision of 100.00% and a mean recall of 100.00%.

In the Shopee application there is a feature that is used as a promotional tool and which increases sales, namely, Shopee Live. A digital survey (Jakpat, 2022) published on Databoks in 2023 showed that Shopee was the application most used for live shopping in Indonesia, being used by 83.4% of live-shopping users. The present study aimed to determine the effectiveness of the Shopee Live feature sales strategy on influencing consumer buying interest decisions among information systems students. The data collection method used was a survey. The sampling technique used probability purposive sampling with a sample size of 54 respondents. Questionnaires were distributed online through Google Forms. Data analysis was carried out using simple linear regression analysis techniques with SPSS software. The results showed that the Shopee Live sales strategy had a strong influence on consumer buying interest decisions, with a correlation value of 0.990 and an influence contribution of 98.7% being recorded. In addition, significance testing supported the hypothesis that the Shopee Live sales strategy would exert an influence on consumer buying interest decisions.

Tujuan dari program pengabdian masyarakat ini adalah untuk meningkatkan literasi keuangan dan pemahaman masyarakat tentang prosedur kerja di luar negeri melalui platform YouTube. Topik ini dipilih karena masyarakat masih kurang memahami investasi dan prosedur kerja yang aman dan legal. Metode yang digunakan termasuk membuat dan mengelola kanal YouTube dengan teknik penyajian konten yang menarik, seperti desain thumbnail yang informatif, pengeditan video profesional, dan optimasi deskripsi dan tag untuk SEO. Hasil kegiatan menunjukkan peningkatan besar dalam jumlah viewers, subscribers, dan interaksi audiens, yang menunjukkan kesadaran masyarakat yang meningkat. Program ini menunjukkan bahwa media digital berguna untuk memberikan pendidikan yang relevan dan mudah diakses. Ke depan, diharapkan pengembangan kolaborasi dan diversifikasi konten dapat meningkatkan jangkauan dan dampak edukasi bagi masyarakat..