Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
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This Author published in this journals
All Journal International Journal of Health, Economics, and Social Sciences (IJHESS) Journal of Economic Education and Entrepreneurship Studies
Nurlaila Syarfiah Asfo
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Economics, Econometrics & Finance Public Health Social Sciences

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Analisis Stategi Pemasaran Jasa Menghadapi Pesaing Terhadap Usaha Laundry (QNC Laundry Toddopuli) Andi Sawe Riesso; Nurlaila Syarfiah Asfo; Suharto
Journal of Economic Education and Entrepreneurship Studies Vol. 3 No. 2 (2022): VOL 3, NO 2 (2022): JE3S, DESEMBER 2022
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.116 KB) | DOI: 10.26858/je3s.v3i2.117

Abstract

This study aims to analyze the effect of people's income, interest rates and inflation on savings in Indonesia. The independent variables in this study are people's income, interest rates and inflation, while the dependent variable is the amount of savings. The population in this study is data on public income, interest rates and inflation, while 15 samples were used, namely from 2005 to 2019. The research data was obtained from publications from the Central Bureau of Statistics (BPS) and Bank Indonesia. The data analysis technique used is multiple linear regression analysis. Based on the results of data analysis conducted in this study, it can be concluded that: (1) people's income has a positive effect on saving in Indonesia; (2) interest rates and inflation have no effect on savings in Indonesia.
The Effect of Company Policy on Employee Compliance with the Implementation of AI to Maintain Company Data Security Evan Haviana; Nina Dwi Putriani; Putri Wahyu Novika; Arko Pujadi; Nurlaila Syarfiah Asfo
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.7039

Abstract

The rapid advancement of artificial intelligence (AI) in corporate data security presents both opportunities and challenges, particularly in ensuring employee compliance with security policies. This study aims to analyze the influence of corporate policies on employee adherence to AI-driven data security measures, focusing on how well-implemented policies can enhance awareness and compliance. Using a quantitative survey approach, data were collected from 200 employees working in companies that integrate AI into their security systems. Multiple linear regression analysis was employed to examine the relationship between corporate policies and employee compliance, with employee perceptions of AI serving as a moderating variable. The findings reveal that clear policies and comprehensive training programs have a significant positive impact on employee compliance with data security regulations. Furthermore, employee perceptions of AI moderate this relationship, indicating that those with a more positive understanding of AI are more likely to comply with established security policies. The study concludes that AI implementation for data security must be supported by strong corporate policies, effective training systems, and clear communication between management and employees. Companies must ensure that AI adoption not only strengthens data security but also addresses ethical and privacy concerns to foster trust and compliance among employees.
Analysis of Marketing Strategy Phenomena on Influencers in Influencing Buyer Decisions at Shopee Nurlaila Syarfiah Asfo; Hasbiah; Wilda Widiawati; Agus Surya Bharmawan; Rully Arifiansyah
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.7005

Abstract

In today's digital era, influencer marketing has become one of the main strategies in e-commerce, including on the Shopee platform. This study aims to analyze the effect of influencer marketing strategies on consumer purchasing decisions at Shopee, with a focus on the effectiveness of Live Shopping, Product Reviews, and Discounts / Promo Codes. The research method used is quantitative with a descriptive and correlational approach. Data was collected through a survey of 385 respondents who had made a purchase after seeing an influencer promotion. The results showed that the Live Shopping strategy has the greatest influence on purchasing decisions with a correlation of r = 0.82, followed by Product Review (r = 0.71) and Discount/Promo Code (r = 0.74). Influencer credibility was also found to be a key factor in influencing consumer trust, with 70% of respondents stating that they only purchase products from influencers they deem trustworthy. Regression analysis showed that the combination of influencer marketing strategies can explain 72.3% of the variation in consumer purchasing decisions (R² = 0.723). These results are in line with Source Credibility Theory, Media Interactivity Theory, and Time Constraints Theory, which explain how trust and interaction influence purchase behavior. The implications of this study suggest that brands and sellers in Shopee should be more active in utilizing influencers with high engagement as well as optimizing interactive features such as Live Shopping to increase sales conversions.
Co-Authors Agus Surya Bharmawan Andi Sawe Riesso Arko Pujadi Evan Haviana Hasbiah Nina Dwi Putriani Putri Wahyu Novika Rully Arifiansyah SUHARTO Widiawati, Wilda