Publikasi Universitas Mercu Buana
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Burnout dan Kesejahteraan Psikologis Guru serta Dampaknya pada Motivasi Belajar Siswa: Perspektif dari Tinjauan Literatur
Get PDFThe psychological well-being of a teacher is a vital element in creating a positive learning environment, and is related to performance. When teachers are in good psychological condition, they will develop more positively, be more optimistic when teaching, and be more able to adopt various innovative learning methods. The role of a teacher requires them to possess specific competencies, including preparing teaching materials, designing learning syllabi, delivering knowledge to students, evaluating student academic performance, enforcing discipline in classroom management, motivating students to learn, and many other skills. This research examines the psychological well-being of teachers in Indonesia in the context of efforts to enhance students' learning motivation. It employs a qualitative research method using a literature study approach. The aim of this research is to analyze the psychological impacts experienced by teachers in relation to student learning motivation at both primary and secondary education levels. The research findings indicate that individuals who possess emotional balance, a sense of purpose, and happiness are more capable of influencing students' learning motivation effectively. Reducing stress and life burdens on teachers—thus improving their psychological well-being—leads to the development of high-quality teachers, not only enhancing their professional lives but also significantly contributing to the achievement of optimal student learning outcomes
PELATIHAN PENGGUNAAN APLIKASI CHATGPT UNTUK SISWA SMK YADIKA 12 DEPOK
Get PDFSiswa Sekolah Menengah Kejuruan di Negara Indonesia merupakan generasi penerus bangsa yang akan menggantikan generasi orang tua mereka. Oleh karena itu, Siswa Sekolah Menengah Kejuruan perlu dilengkapi dengan keterampilan dalam pemanfaatan teknologi informasi. Salah satu bagian penting dari teknologi informasi tersebut adalah Aplikasi ChatGPT. Selain belajar secara formal, Siswa setingkat SMK perlu memanfaatkan waktu luang dengan kegiatan produktif melalui media daring. Salah satu kegiatan yang bermanfaat dan sangat dibutuhkan adalah mengikuti Pelatihan Aplikasi ChatGPT. Setelah mengikuti pelatihan ini, Siswa diharapkan dapat membuat tugas mata pelajaran bahkan penulisan Karya ilmiah dengan baik dengan menggunakan seluruh toolbar dan menu yang tersedia di Aplikasi ChatGPT
Evaluation of the Effectiveness of Hybrid Learning Based on Linear Algebraic Hybrid Model in the Online-Offline Lecture System in the Digital Era
Get PDFOptimal class division is a crucial aspect of academic planning to ensure the effectiveness of the learning process. The main challenges in class division lie in the limited capacity of space, balanced distribution of students, and the fulfillment of varied academic needs. This study proposes a Linear Programming-based approach to optimize class division by considering various constraints, such as the maximum capacity of the room, the number of students, and the distribution of subjects according to curriculum needs. The developed applications are designed to produce optimal solutions that minimize student distribution gaps and ensure efficient classroom utilization. A case study is applied to an educational institution to evaluate the performance of the application in real situations. The results of the experiment show that this approach is able to improve the efficiency of classroom allocation, reduce imbalances in the distribution of students, and optimize the use of educational facilities. Thus, this research contributes to more effective and data-based academic management in decision-making related to class division
Neural Network Classification to Determine the Likelihood of Diabetes Using Python Programming Language
Get PDFDiabetes is a global health problem that affects millions of people worldwide. Predicting a person's risk of developing diabetes can be an important first step in disease prevention and management. In this study, we propose the development of a predictive model for diabetes using Neural Network (NN) technique with implementation using Python. The data used in this study consists of clinical information that includes factors such as pregnancy, glucose, blood pressure, skin thickness, insulin, BMI, diabetes pedigree function, and age. The model development process involves data pre-processing, selection of relevant features, model training, and performance evaluation using appropriate metrics. The experimental results show that the developed NN model has a good ability in predicting diabetes risk. The main contribution of this research is the use of NN techniques and Python coding in the development of predictive models for diabetes, which can provide useful guidance for medical practitioners in supporting disease prevention and management efforts. Future studies can extend this research by considering additional factors and improving the accuracy of the model by using more complex approaches. Keywords: Diabetes, Prediction, Neural Network, Python coding, Predictive model, Model development, Data pre-processing, Performance evaluation, Disease prevention, Disease managemen
Web-based Application Mockup Design for Student Activity Unit Registration at Mercu Buana University
Get PDFThe development of the Student Activity Unit (UKM) registration application aims to streamline the registration process for students interested in joining extracurricular activities at educational institutions. This application offers a digital solution to replace the manual registration process, improving efficiency, data accuracy, and user experience.The design and implementation of the application follow a systematic approach, including needs analysis, system design, coding, testing, and deployment. The application features a user-friendly interface, secure data management, and real-time notifications, ensuring a seamless experience for both students and administrators.By integrating cloud-based technology, the application ensures scalability and accessibility, allowing users to register anytime and anywhere. Administrators can manage registrations, track member data, and generate reports more effectively. The study results show that the application significantly reduces administrative workload and enhances the engagement of students in UKM activities.This project highlights the potential of digital solutions in improving operational processes and fostering student participation in extracurricular activities. Future developments may include expanding features such as online payment integration and analytics for tracking member participation trends
The Influence Of Organizational Communication Climate On Employee Performance At PT Rifan Financindo Head Office Axa Tower Unit, Kuningan South Jakarta
Get PDFThis study aims to determine the significant influence of organizational communication climate on employee performance at PT Rifan Financindo, head office Axa Tower unit Kuningan, South Jakarta. This research uses survey methods with quantitative approaches and positivistic paradigms. The population in this study are all employees of PT Rifan Financindo head office unit Axa Tower Kuningan South Jakarta starting from the level of Business Consultant (BC), Senior Business Consultant (SBC) and Manager as many as 155 people with Proportional Stratified Random Sampling sampling techniques. The results showed that the organizational communication climate variable had a significant effect on employee performance. The conclusion of this study is that organizational communication climate variables simultaneously affect employee performance variables.
Women Representation In Taylor Swift’s Song Betty
Get PDFThis research focuses on women's representation in the lyrics of Betty by Taylor Swift. This research assumes that the song’s lyrics represent gender inequality within a relationship between a man and a woman that disadvantages the woman. Moreover, this research used Sara Mills's critical discourse analysis method to analyze the phenomenon which covers macro, micro, and author-reader analysis in the presentation. However, this research will mainly discuss women's representation in micro-level analysis. This is qualitative research with data acquired from documentation and literature - review. The result shows Betty by Taylor Swift puts women in the object position in the storytelling while men as the subject of the storytelling. The micro-level analysis showed women presented in these lyrics through the song titled choice, the use of the pronoun “she” and the women's character being explained from the men’s perspective. The author and listener position showed that there was no engagement between the author and listener yet she facilitated the lyrics for readers to accept and understand the values of the whole songs
RANCANGAN PROGRAM PELATIHAN MENINGKATKAN KEMATANGAN KARIR MAHASISWA PSIKOLOGI UNPAD SEMESTER DELAPAN
Get PDFPenelitian ini bertujuan untuk merancang program intervensi untuk meningkatkan kematangan karir pada mahasiswa psikologi UNPAD. Penelitian ini merupakan penelitian Single-Group Pre-test-Post-test Design untuk mengukur perubahan kematangan karir subjek setelah mengikuti program pelatihan. Hasil uji coba menngunakan uji wilcoxon menunjukkan adanya peningkatan yang signifikan setelah mengikuti pelatihan. Uji statistic juga memperlihatkan adanya peningkatan yang signifikan pada tiga dimensi kematangan karir yaitu: perencanaan karir, pengetahun mengenai dunia kerja dan pengambilan keputusan karir, dan tidak mengalami peningkatan yang signifikan pada dimensi eksplorasi kari
Analysis of Identifying Company Operational System Development Utilizing the Quality Function Deployment
No full textObjectives: Performance is a key part in management's work in managing an organization. Employee performance is impacted by a variety of factors, both internal to the workforce and external to the government, firm, or organizational environment. One of the firms in Indonesia that felt the impact complained about performance issues, making it impossible to grow the company's management system. The majority of the issues arise from employee performance and a lack of knowledge about the company's operational management system, which limits the scope of optimizing the company operational.Methodology: The research method used qualitative research, data with questionnaire and brainstorming with respondents. for processing data with QFD method.Finding: The QFD calculations revealed and produces conclusions regarding the main identify priorities that must be taken by the company, including that employees must be able to offer good output/results for the organization, increase technical abilities in running work facilities while working, and be time disciplined.Conclusion: The QFD calculation's results showed that, for the respondent's level of interest, employees' ability to produce high-quality work products was the company's top priority, next motivate to apply time management finish tasks on schedule, and advance their technical proficiency and mental skills. In the meantime, the company's top focus in assisting staff members in meeting performance standards all
High-performance sentiment classification of product reviews using GPU(parallel)-optimized ensembled methods
No full textSentiment analysis is an important approach in natural language processing (NLP) that extracts information from text to infer underlying emotions or views. This technique entails classifying textual information into feelings like "positive," "negative," or "neutral." By evaluating data and labeling, client input may be classified on scales such as "good," "better," "best," or "bad," "worse," resulting in a sentiment classification. With the fast expansion of the World Wide Web, a massive library of user-generated data—opinions, thoughts, and reviews—has evolved, notably for diverse items. E-commerce firms use this data to gather attitudes and views from social media sites like Facebook, Twitter, Amazon, and Flipkart. The GPU-CUDA-ENSEMBLED algorithm is a GPU-accelerated method for sentiment classification, enhancing predictive performance by minimizing variances and biases. It outperforms existing algorithms like SLIQ and MMDBM, demonstrating GPU mining's efficiency. The proposed algorithm utilizes GPU-accelerated sentiment analysis to accurately predict smartphone ratings, providing valuable insights for businesses to maximize customer feedback potential