Publication Search

Technological advancements have brought significant transformations across various fields, including the application of machine learning in recommendation and classification systems. Machine learning leverages data processing, utilizes algorithms, and efficiently identifies patterns to produce accurate recommendations and predictions. This study aims to review machine learning-based recommendation system approaches, analyze model performance, and compare the algorithms used. A literature review was conducted by examining journals published in the past five years, focusing on algorithm implementation. The findings indicate that the Naïve Bayes algorithm delivers the best performance, achieving an accuracy of up to 97%. This algorithm is particularly well-suited for processing small to medium-sized datasets with high efficiency. The research provides comprehensive insights into the performance and limitations of various algorithms, serving as a valuable guide for future developments in the field.

This research is based on the importance of learning realistic mathematics in mathematics. The purpose of this study is to determine the implementation of learning by using realistic mathematics learning models in improving the mathematical understanding of students of class VI MIN 2 Mataram City. PMR is a learning approach to mathematics that involves the reality and experience of students. In mathematics learning students are required to be more active in finding and finding solutions to a problem, so that learning that occurs will be centered on students. The research method used is a qualiative method for collecting data through observation, interviews and documents. The results showed that the application of realistic mathematics learning was effective in increasing students' mathematical understanding in the discovery of mathematical concepts through contextual learning and relevant to daily life. Thus, this research provides a significant involvement in understanding the role of PMR in increasing the mathematical understanding of students as well as part of an effective mathematical learning approach.

At SMP Negeri 2 Gucialit, teachers have difficulty designing and implementing learning models that can develop students to have skills in critical thinking and problem solving, creative thinking skills, communication skills, and collaboration skills. The aim of this community service is to expand understanding of concepts and improve the skills of Junior High School teachers in designing project-based learning through lesson study. The method used in community service consists of three stages, namely preparation, implementation and evaluation. In the preparation stage, field survey activities and coordination with service partners were carried out. At the implementation stage, material is provided, practice is carried out in developing project-based learning teaching modules through lesson study and discussion. At the evaluation stage, an assessment of the results of the activities was carried out using a questionnaire distributed to participants by the community service team. Based on the results of the questionnaire, it shows that the percentage of answers achieved was 59.3% strongly agree with the benefits of this activity, 37% agree, 3.7% neutral, and there were no answers strongly disagree or disagree. This shows that this service activity increases the understanding of the concepts and skills of Junior High School teachers in designing project-based learning through lesson study. Apart from that, this community service activity produces project-based learning teaching module products and aquascape learning media.

Abstract. This study examines the application of Agile Management principles in online learning platforms, focusing on the challenges and benefits experienced during implementation. Through qualitative research, including interviews and case studies, the research explores how platforms have adopted Agile practices, such as iterative cycles, regular feedback, and flexibility, to enhance responsiveness and adaptability. The findings reveal that the majority of platforms have integrated Agile principles, with a significant focus on overcoming challenges like resistance to change and a lack of training. Participants reported improved collaboration, increased efficiency, and the ability to respond to changes effectively. However, challenges remain, including the need for hybrid models combining Agile with traditional management frameworks. This study contributes valuable insights into the effectiveness of Agile practices in educational technology and offers directions for future research on enhancing Agile implementation in diverse educational settings.

Indonesian as the national language of the Indonesian nation is also a language studied in various countries. The Indonesian Language Program for Foreign Speakers (BIPA) is a program aimed at teaching Indonesian to foreign speakers. One of the learning models applied in the BIPA program is the AKIK Learning Model (active, communicative, interactive and collaborative). This research aims to: (1) describe the application of the AKIK learning model in BIPA teaching. (2) Analyzing student responses to the AKIK learning model. (3) Identifying the obstacles faced in implementing the AKIK learning model. (4) Evaluate the results of Indonesian language learning using the AKIK learning model. The research results show that the implementation of the AKIK learning model is effective in improving the communication skills and understanding of Indonesian at Normal University South Luzon students. Students responded positively to the AKIK learning model, feeling more motivated and active in learning. However, several obstacles are faced, such as cultural and language differences and limited learning facilities that support technology. This research contributes to the development of the BIPA curriculum by recommending more effective teaching strategies. The results can be used as a reference for teachers and researchers in the field of foreign language teaching, especially Indonesian.

Improving the quality of learning is something that must be done well in school education, students who have diverse learning styles must be the main factor of teacher attention in order to be able to give meaning to learning well. To improve learning outcomes, one of them is through the application of the quantum learning model in the teaching and learning process. This research aims to find answers to the question of the effectiveness of using quantum learning in schools. Penalitian conducted by reviewing a variety of relevant literature both from journals and direct findings in the field. The results of the study found that the implementation of quantum learning can improve the quality of learning and maximum student understanding, given the different learning styles of students can be facilitated through the implementation of quantum learning models, so that learning styles are very supportive of quantum learning models and get perfect learning outcomes than conventional learning models.    

This research is a conceptual study of the implementation of the Project Based Learning learning model as an effort to grow the character of students according to the 6 dimensions of the Pancasila Student Profile in the independent curriculum. The Project Based Learning learning model is one of the learning models that can foster Pancasila values in students. By using qualitative descriptive methods through library research, this study aims to find out how the implementation of the Project Based Learning learning model as an effort to grow the character of students according to the 6 dimensions of the Pancasila Student Profile in the independent curriculum. The results of this study show that the Project Based Learning learning model is a strategy that is in accordance with the values contained in the Pancasila Student Profile.

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.