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Amelia Amelia
Universitas Catur Insan Cendekia (UCIC) Cirebon, Indonesia
Environmental Science

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Strategic Planning Through Sport Events Leveraging Essentially Zemikael Getu; Amelia Amelia
Journal Research of Social Science, Economics, and Management Vol. 2 No. 10 (2023): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v2i10.488

Abstract

Events tourism is recognized as a significant and essential part of economic development strategies in developing countries as this industry affects the economy and the development of tourist destinations. Globally, many destinations are exploiting sport events as a strategic tool for energizing and themselves. In recent years, it has been widely accepted by tourism destination managers that sport events tourism make huge contributions to the tourism industry and the economy through foreign capital inflows. Various studies demonstrate that there is growing interest or even hunger to host sport events tourism as promoting development is evident in both developing and developed countries. Events tourism has demonstrated a significant growth over the years in both developing and developed countries. Nowadays, events are utilized as catalysts to develop and market host destinations. Therefore, the image of the host destination can improve and this can potentially lead to an influx of tourists to the host destination. Sporting events benefit destinations in various ways such as the infrastructural developments, foreign investment and foreign exchange, which leads to entrepreneurial opportunities.
The Influence of Brand Awareness, Perceived Quality, Brand Association, Brand Loyalty and Price on Daihatsu Car Buying Decisions (Case Study at Daihatsu Pemalang Car Dealership) Mar’atus Solikhah; Amelia Amelia
Journal Research of Social Science, Economics, and Management Vol. 3 No. 1 (2023): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v3i1.536

Abstract

The purpose of this study to find and obtain empirical evidence of the influence of brand awareness, perceived quality, brand association, brand loyalty, and price on buying decisions both partially and simultaneously. This study uses a sample of 70 respondents, namely some of consumers who buy Daihatsu cars at Pemalang Daihatsu Dealers. The sample used was using purposive sampling technique. The testing in this study was carried out using instrument test analysis methods such as validity, reliability, classic assumption tests such as normality tests, linearity tests, and heterogedity tests, and on statistical tests such as path analysis, multiple linear regression, t-test, F test. The results of this study were obtained 1) there is a significant influence between brand awareness variables (X1) on purchasing decisions (Y); 2) there is a significant influence between the perceived quality variable (X2) on purchasing decisions (Y); 3) there is a significant influence between brand association variables (X3) on purchasing decisions (Y); 4) there is a significant influence between brand loyalty variables (X4) on purchasing decisions (Y); 5) there is a significant influence between the price variable (price) (X5) on the purchase decision (Y); 6) brand awareness variables (X1), perceived quality (X2), brand associations (X3), brand loyalty (X4), and price (X5) partially influence purchasing decisions (Y); 7) variable brand awareness (X1), perceived quality (X2), brand association (X3), brand loyalty (X4), and price (X5) simultaneously influence purchasing decisions (Y);
Healthcare Revolution: How AI and Machine Learning Are Changing Medicine Ayesha Saeed; Ali Husnain; Saad Rasool; Ahmad Yousaf Gill; Amelia Amelia
Journal Research of Social Science, Economics, and Management Vol. 3 No. 3 (2023): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v3i3.558

Abstract

This essay examines the enormous effects of machine learning and artificial intelligence (AI) on healthcare. Through data analysis, AI is transforming disease detection and prediction and improving the precision of diagnoses. By accelerating medication discovery and improving individualized treatment programs, it is revolutionizing both treatment and drug development. AI is promoting customized medicine by using genetic information to customize therapies. Through automation and optimized resource allocation, it is streamlining hospital processes. The importance of ethical considerations is significant; they center on data privacy, bias reduction, and accountability. The study highlights potential avenues for AI development, such as AI-driven drug discovery, predictive and preventative healthcare, advances in genomic medicine, enhanced medical imaging, and more robotics and automation. Predictive analytics, telehealth, AI virtual assistants, and AI in mental healthcare are all expected to grow. These developments have the potential to improve health care, streamline processes, and boost scientific inquiry. To use AI in healthcare in a fair and ethical manner, however, and usher in a future that is more patient-centric, accurate, and accessible internationally, difficulties related to data quality, ethics, regulation, and prejudice must be addressed.
Co-Authors Ahmad Yousaf Gill Ali Husnain Ayesha Saeed Mar’atus Solikhah Saad Rasool Zemikael Getu