Digital management training has become the main need for Micro, Small, and Medium Enterprises (MSMEs) in the era of digitalization. In Bengkulu, many MSMEs face challenges in adopting technology to improve operational efficiency, expand markets, and increase competitiveness. This study aims to analyze the impact of digital management training on increasing the management capacity of MSMEs in Bengkulu. This training includes an introduction to digital technology, online marketing strategies, application-based financial management, and customer data management. The results of the training show that the implementation of digital management has a significant positive impact on productivity, business management, and MSME revenue growth. The study also highlights the importance of ongoing support from the government and the private sector in facilitating the adoption of digital technology among MSMEs.

Penelitian ini bertujuan untuk menganalisis dampak pembelajaran olahraga terhadap kesehatan mental dan fisik siswa sekolah dasar. Sumber-sumber pada artikel ini mencakup basis data akademik seperti Semantic Scholar, Google Scholar, jurnal online, buku, dan publikasi lainnya yang mendukung kajian ini. Hasil dari penelitian ini secara khusus menunjukkan bahwa pembelajaran olahraga juga memengaruhi kesehatan fisik siswa. Anak-anak dapat memperbaiki koordinasi motorik dan kekuatan otot mereka dengan berolahraga, seperti lari, bermain bola, atau senam. Olahraga meningkatkan metabolisme dan menjaga berat badan yang sehat, yang mencegah obesitas dan penyakit jantung. Secara keseluruhan, pembelajaran olahraga memiliki efek positif pada kesehatan mental dan fisik siswa sekolah dasar. Dengan meningkatkan kebugaran fisik mereka melalui aktivitas olahraga, siswa tidak hanya memperoleh manfaat kesehatan jangka pendek tetapi juga membangun dasar untuk kesejahteraan jangka panjang.

This research aims to analyze the influence of scientific-based numeracy literacy teaching materials on students' motivation and higher order thinking abilities. This research is a quantitative research using a quasi-experiment method with a nonequivalent control group design. Sampling used purposive sampling technique. The instruments used were motivational questionnaire sheets and higher order thinking ability tests. The paired sample t-test was used to analyze the data. The findings indicate a significant difference in the average posttest scores between the experimental group and the control group, with a significance value of 0.000<0.005 and a mean difference of 18.06 (66.00 - 47.94) between the two groups. Additionally, the confidence interval for the difference ranged from -36.959 to -30.354. That there is a significant (real) difference between the average motivation score and higher order thinking abilities of students in the experimental class and the control class using of scientific-based numeracy literacy teaching materials. So with these results it can be concluded that the scientific-based numeracy literacy teaching materials has an effect on students' motivation and higher order thinking abilities.

Konsep Orientasi Pelanggan sangat penting bagi perusahaan untuk berkembang di era saat ini, dengan memanfaatkan teknologi untuk mendapatkan wawasan yang mendalam tentang perilaku pelanggan mereka. Salah satu alat teknologi tersebut adalah pembelajaran mesin, khususnya yang menggunakan pendekatan pemrosesan bahasa alami (NLP). Penelitian ini menggunakan lima algoritma yang berbeda dan menggabungkan berbagai metode untuk meningkatkan kinerja model machine learning. Melalui penerapan teknik-teknik seperti random over-sampling (ROS) dan ensemble learning, akurasi prediksi keseluruhan untuk kelas minoritas meningkat secara signifikan. Model ensemble yang diintegrasikan dengan ROS mencapai akurasi 0,90 dan mean square error 0,91, mengungguli algoritma lain yang diuji dalam penelitian ini. Pendekatan yang dioptimalkan ini tidak hanya menunjukkan keefektifan pemanfaatan teknologi untuk sebuah perusahaan dapat menerapkan strategi yang berpusat pada pelanggan, tetapi juga menyoroti pentingnya peningkatan metodologi dalam pemodelan prediktif untuk keberlanjutan bisnis.
 
Kata kunci: Klasifikasi Emosi, Pembelajaran Mesin, Pemrosesan Bahasa Alami, Hard Voting, Random Over Sampling.

Peptic ulcer is a condition where there is a wound or ulcer on the inner lining of the stomach. Gastroesophageal Reflux Disease (GERD) occurs when stomach contents flow back into the esophagus and can damage the mucosal lining of the esophagus. Extension activities carried out at SMA Santo Lukas 1, obtained pre-test results for correct answers of 82.08% and for wrong answers of 17.92%, while the post-test results showed a significant increase after the provision of material, namely for correct answers of 93.33% and wrong answers of 6.67%. This shows that most students understand the information delivered through counseling activities regarding GERD and peptic ulcers.

In the world of education, teachers have a very large and important role in teaching and learning activities because teachers are educators who are directly in contact with students, so teachers are required to have good performance in order to teach students who also have good quality. One of the educational problems faced by the Indonesian nation is the quality of education at every level and education unit, especially elementary and secondary education. Various efforts have been made to improve the quality of education, including through various training and improving teacher qualifications, procuring books and teaching tools, improving facilities and infrastructure, and improving the quality of school management. The research method used in this study is quantitative through path analysis and SITOREM analysis. The results of this study are that there is a positive relationship between the independent variable and the dependent variable when viewed from the path analysis, then the relationship is a functional relationship where teacher performance (Y) is formed as a result of the functioning of organizational culture functions (X1), transformational leadership (X2), self-efficacy (X3) work motivation (X4)

The purpose of this research is to analyze the financial performance of the Kediri City government in 2018-2023. This research uses a quantitative approach with descriptive analysis methods. The data comes from Kediri City regional expenditure data for the 2018-2023 period, which was obtained through the Kediri City Central Statistics Agency and the Kediri City Regional Revenue, Financial and Asset Management Agency. The data is processed using regional financial ratio analysis. This research shows that the average expenditure growth ratio of the Regional Government of Kediri City is not good because expenditure growth exceeds income, the average capital expenditure is 10.91% indicating good performance in regional development, the average percentage of operating expenditure is 85, This 45% shows that the operational expenditure performance of the City of Kediri during the 2018-2023 period showed good performance.

The development of technology with digital image processing is often utilized to solve various problems in image processing, such as facial recognition, object detection, and interaction between users. In this study, we developed an interactive hand gesture-based game titled "Slap Mosquito" that utilizes image processing techniques to control the game through hand gestures. Using Rapid Application Development (RAD), Python, OpenCV, and Pygame methodologies, this game allows users to slap mosquitoes virtually in real-time through hand gesture recognition that is read by the camera and translated into in-game actions. RAD allows rapid development iterations and improvements based on user feedback, which is essential for improving system responsiveness and accuracy. This study focuses on detection precision, system responsiveness, and the impact of lighting on game performance, as measured using frames per second (FPS) and user gameplay results. The test results show that optimal lighting meets high detection accuracy, while low lighting conditions have a negative impact on accuracy and responsiveness. The results of this study provide insights for further development of gesture-based applications, especially regarding the importance of optimizing technical parameters and RAD methodology in improving user experience.
 
 

Verbal abuse is a form of social violence that frequently occurs at home and in schools. This type of abuse includes mocking, insults, or degrading words often directed at children. This study aims to understand how verbal abuse impacts children’s mental development and self-confidence. By reviewing various related studies, the findings show that children who frequently experience verbal abuse tend to face mental health issues, such as low self-esteem, anxiety, and even depression. Additionally, they often lack self-confidence, which can affect their ability to interact with others and cope with life’s challenges. In conclusion, verbal abuse has a serious impact on children’s mental development and self-confidence, highlighting the need for preventive measures and support from family and community to create a safe environment that positively supports children’s growth and well-being.

In the midst of increasingly rapid technological developments, Artificial Intelligence (AI) technology has also been formed as a form of development. The presence of AI technology helps many people complete their work. Including strategic activities in the decision-making process for business development. This research aims to discuss the role of artificial intelligence technology in improving decision making in the business development process by focusing on the Management Information Systems (SIM), Micro, Small and Medium Enterprises (MSMEs), and finance sectors. With a literature review used as a comprehensive research method, it involves collecting and analyzing articles related to the topic from various academic sources. The research results show that Artificial Intelligence (AI) can improve the efficiency and accuracy of decision making through in-depth analysis and algorithm-based predictions. In the Management Information Systems (MIS) sector, artificial intelligence contributes to business automation processes and information management, in the MSME sector, artificial intelligence helps in understanding consumer behavior and market trends. Meanwhile, in the financial sector, AI plays an important role as a risk analyst, financial manager and investment manager. This research is expected to provide knowledge for corporate organizations about the role of artificial intelligence technology in improving the decision-making process.