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.

An early childhood child is an individual who actively interacts with individuals around them. From these direct interactions, children learn social norms and ethics that shape and develop their character. This study focused on the process of early childhood learning from the environment in developing their character from Bronfenbrenner's Ecological Systems theory framework. Eleven interviewees participated in this qualitative research. The findings revealed that at the mesosytem level, a learning environment in the community that is safe and supportive of children's growth and development will develop children's positive character. These results corroborated that positive interactions within the environmental layers in Bronfenbrenner's Ecological Systems Theory will contribute positively to children's development. Parents and RuPin Coordinators unanimously stated that education contributes positively to children's growth and development. Even the smallest knowledge gained by children will affect their mindset and behavior, so a commitment to providing a safe and positively stimulating learning environment is important. From the perspective of Bronfenbrenner's ecological systems theory, an adequate learning environment for young children should involve positive interactions between various environmental systems: family, school, peers and community.
 

This research aims to understand the dynamics of rationality and emotions in the context of decision making in business. A literature study method is used by collecting literature from various sources related to rationality, emotions, and their interactions in business decision making. The results showed that business decision making needs a balanced approach between rationality and emotions. Rationality bases decisions on logical processes based on facts, through evaluating alternatives and choosing optimal options. Meanwhile, emotions play an important role through heuristics, motivation, perception, and evaluation. The implications for business practice are the importance of balancing rationality with emotions to make better and more sustainable decisions.

The Program Activities (PI) held by group 8 started on 29 July 2024 in Baru Ilir Balikpapan Ilir Village and ended on 29 October 2024. A series of activities that have been carried out are assistance in making debit payment methods (QRIS), marketing products through digital applications, attractive packaging and making menu innovations. This Innovation Programme activity aims to increase the competitiveness of Ibu Listy's Crispy Oriental MSMEs with the debit payment method (QRIS), reach a wider market through digital marketing and new menu innovations that are rarely owned. This activity focuses on one of the business actors in Baru Ilir Village.