Journal of Science and Education (JSE)

Impulsive buying in Live Streaming Commerce: The Role of Flow Experience, Parasocial Interaction and Immersion Relationship

2024-09-22T15:18:46+07:00

The paradigm shifts and changes in consumer behavior have evolved alongside technological advancements and the progress of time. Since the COVID-19 pandemic, the use of online media has become widespread, including buying and selling activities. The increasing interest in online shopping has led many shopping centers to go bankrupt, which also impacts local tax revenues. This study aims to analyze the influence of flow experience, parasocial interaction, and immersion on impulsive buying tendencies in e-commerce live streaming. Data were collected from 400 respondents who are active users of live streaming platforms such as Shopee, TikTok, and Instagram in Medan. The study was conducted in 2024. The research employed the Stimulus-Organism-Response (S-O-R) method and was analyzed using SEM (Structural Equation Modeling). The study consisted of two phases: the Pilot Test and the Main Test. Data were collected through the distribution of questionnaires. The results show that in the goodness of fit test, two indices met the criteria: CMIN/DF (3.576), CFI (0.915), and SRMR (0.07). However, one index, RMSEA (0.085), did not meet the criteria. The SEM analysis results indicate that the standardized coefficient β > 0 and the p-value ≤ 0.05, showing that the hypothesis is accepted. Thus, there is a relationship between flow experience (p < 0.05), parasocial interaction (p < 0.01), and immersion (p < 0.001) on impulsive buying tendencies. This study also shows that the stronger the consumers' flow experience and parasocial involvement, the more likely they are to make impulsive purchases during live streaming

Implementation of Digital Financial Literacy in the Investment Decision-Making System for the Community of Padangsidimpuan City using the Analytical Hierarchy Process (AHP) Method

2024-09-27T21:50:26+07:00

In today's digital era, digital financial literacy plays a crucial role in shaping the behavior and investment decisions of the community. Padangsidimpuan City, one of the cities in Indonesia, faces challenges in adopting and implementing digital financial literacy among its citizens. Effective and efficient investment decision-making has become vital in the current economic context, where financial information is widely available but often complex and difficult for the general public to interpret. The application of digital financial literacy can enhance individuals' abilities to manage personal finances and make wise investment decisions. However, there remains a gap in knowledge and practice in the field that hinders the optimal use of digital financial literacy. The urgency of this research lies in strengthening digital financial literacy within the community. By understanding its influence on investment decision-making, strategies can be developed to improve awareness and understanding of digital finance, thereby helping the public make more informed investment decisions. This study aims to analyze the application of digital financial literacy in the investment decision-making system in Padangsidimpuan City. The method used in this research is the Analytical Hierarchy Process (AHP), a systematic approach to solving complex decision-making problems through the ranking and evaluation of various criteria and alternatives. AHP was chosen for its unique ability to handle both subjective and objective preferences and decision-making complexities, making it highly suitable for examining the phenomenon of digital financial literacy in the context of investment decision-making.

Implementation of the Importance Performance Analysis (IPA) Method in the Lecturer Performance Evaluation System at IBBI University Medan Based on the Balanced Scorecard

2024-09-28T15:28:26+07:00

In the era of globalization and increasingly competitive higher education, lecturer performance evaluation has become a crucial aspect for improving the quality of education. IBBI University Medan recognizes the importance of implementing an effective and efficient lecturer performance evaluation system to ensure that lecturers can make maximum contributions to the achievement of educational goals. The urgency of this research lies in the need to integrate the Importance Performance Analysis (IPA) method with the Balanced Scorecard (BSC) framework to create a comprehensive lecturer performance evaluation system. The main objective of this research is to implement and evaluate the effectiveness of the Importance Performance Analysis (IPA) method in the lecturer performance evaluation system at IBBI University Medan. This research uses a quantitative approach with a survey method to collect data from various stakeholders, including students, lecturers, and administrative staff. The collected data is then analyzed using the Importance Performance Analysis (IPA) method to identify gaps between expectations and realities in lecturer performance. The Balanced Scorecard is used as a framework to integrate the IPA results with the university's strategic objectives. This research is expected to provide valuable insights into the effectiveness of implementing the IPA method based on the Balanced Scorecard in the lecturer performance evaluation system. Through this research, IBBI University Medan aims to develop a lecturer performance evaluation system that is not only fair and transparent but also aligned with the university’s strategic goals, thereby contributing to the overall improvement of education quality.

Optimization of Hospital Patient Management through a Combined RFM and Fuzzy C-Means Approach: Enhancing Service Efficiency and Quality

2024-09-25T23:45:53+07:00

Healthcare services in Indonesia are considered inadequate, particularly in patient management at hospitals, which face significant challenges related to operational efficiency and service quality. With underlying issues such as limited capacity and resources, the variability of patient needs, and difficulties in predicting visit patterns, this research highlights the urgency of optimizing patient management through an innovative approach. This study aims to develop an effective patient management model by combining the RFM (Recency, Frequency, Monetary) method with Fuzzy C-Means. This approach is expected to provide a more accurate understanding of patient behavior and needs, enabling more effective resource allocation and improved service quality. The research methodology involves a literature review, data collection and preprocessing, clustering using the Fuzzy C-Means algorithm, cluster validation, patient characteristic analysis, and report preparation. Transaction and registration data from patients at Malahayati Hospital Medan, covering the period from January 2023 to March 2024, serve as the basis for the analysis

Development of SMART-Based Soft Skills: Integration of STEM, HOTS Based on Project-Based Learning for Vocational Students

2024-09-25T16:54:10+07:00

The 21st-century workforce requires a strong foundation in both technical and soft skills, particularly in vocational education. This study investigates the development of soft skills among vocational students through the SMART model, integrating STEM (Science, Technology, Engineering, and Mathematics) and HOTS (High Order Thinking Skills) within a project-based learning (PBL) framework. The aim is to foster critical soft skills, such as problem-solving, collaboration, and communication, essential for adapting to the ever-evolving demands of the modern workforce. The study explores the impact of this integrative approach and assesses students' progress through a series of technical projects. Preliminary findings suggest that the SMART model can significantly enhance students' preparedness for the workforce, equipping them with the necessary skills to thrive in complex and dynamic environments.

Blockchain-Based Optimization of Raw Material Inventory: Enhancing Efficiency in Salak Sidimpuan Agricultural Production

2024-09-29T15:15:09+07:00

Blockchain technology has emerged as a revolutionary tool in supply chain management, offering enhanced transparency, security, and efficiency. This study explores the implementation of blockchain technology to optimize raw material inventory management in Salak Sidimpuan agricultural production. Using data from farmers and cooperatives, the research analyzes the impact of blockchain on production efficiency, leveraging a PLS-SEM model for statistical analysis. Results indicate a significant improvement in inventory efficiency, leading to reduced costs and improved trust among stakeholders. The findings suggest blockchain as a viable solution for transforming traditional agricultural supply chains.

Enhancing Consumer Experience at Modern Coffee Shops through Analysis of Customer Acquisition Cost, Lifetime Value, and Implementation of Blockchain Technology: A Case Study in Medan City

2024-09-25T14:43:10+07:00

This study explores the influence of Customer Acquisition Cost (CAC), Lifetime Value (LTV), and Blockchain Technology on consumer experience in modern coffee shops in Medan. The research combines quantitative and qualitative approaches, using surveys, interviews, and regression analysis to identify key relationships. The findings indicate a significant positive relationship between CAC, LTV, and consumer satisfaction, showing that optimized acquisition costs and higher customer lifetime value enhance consumer experience. Furthermore, the implementation of Blockchain Technology in these coffee shops has led to increased transparency and trust, further elevating the consumer experience. Coffee shops that adopted blockchain technology showed higher customer loyalty and operational efficiency. These results provide actionable insights for coffee shop owners and stakeholders to improve their marketing strategies and remain competitive in a dynamic market