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Economic: Journal Economic and Business
Published by Lembaga Riset Mutiara Akbar
ISSN : -     EISSN : 29638801     DOI : https://doi.org/10.56495/ejeb
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
ECONOMIC: Journal Economi and Business yang diterbitkan oleh Lembaga Riset Mutiara Akbar, Medan, Indonesia merupakan jurnal akses terbuka yang dapat digunakan sebagai media interaksi bagi seluruh cendikiawan di berbagai bidang Ekonomi dan Bisnis baik itu Karya Ilmiah kajian pustaka maupun penelitian. Pokok bahasannya meliputi studi tekstual dan kerja lapangan dengan berbagai perspektif tentang ekonomi dan bisnis serta berbagai perspektif dalam kepentingan ekonomi dan bisnis. Jurnal ini bekerja untuk Cendekiawan, peneliti, dosen, serta profesor dari berbagai institusi dan afiliasi di dunia serta untuk wadah tempat mahasiswa mempublikasikan artikel skripsi dan tesisnya
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 202 Documents
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The Influence of Chatbot Usage and Product Recommendation Features on Customer Satisfaction in Shopee E-Commerce Sirait, Nadia Theresia; Saputra, Hendra
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1134

Abstract

This study aims to determine the effect of Chatbot and Product Recommendation Features in increasing customer satisfaction in Shopee E-Commerce. This study uses a quantitative approach with a descriptive method. Data were obtained by distributing questionnaires to 97 respondents who were active students at Medan State University class of 2021 who had used Shopee. The data analysis technique used was multiple linear regression. The results of the study showed that Chatbot had a positive and significant effect on Customer Satisfaction, as did the Product Recommendation Feature which showed a positive effect. Simultaneously, both variables had a significant effect on Customer Satisfaction. This study provides implications that service quality and a relevant and trusted recommendation system can increase customer satisfaction on e-commerce platforms.
The Influence of Brand Ambassadors And E-Trust on E-Loyalty of Consumers on The Tokopedia Platform (Case Study on BTS as a Brand Ambassador Tokopedia) Cibro, Elfi Juliana; Fikri, Miftah El
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1140

Abstract

This study aims to determine the effect of Brand Ambassador and E-Trust on consumer E-Loyalty on the Tokopedia platform, using BTS as a case study. This research uses a quantitative approach with a deskriptif method. Data was collected through questionnaires distributed to 100 active students at Universitas Negeri Medan from the 2021 batch who have used Tokopedia. The data analysis technique used is multiple linear regression. The results show that Brand Ambassador has a positive and significant effect on E-Loyalty, as does E-Trust, although with a smaller coefficient value. Simultaneously, both variables significantly affect E-Loyalty. This study implies that using relevant and credible public figures can enhance customer loyalty on e-commerce platforms.
The Influence of Social Media Marketing (Instagram) and Influencer Marketing on the Purchase Decision of Mie Gacoan Among Digital Business Study Program Students, State University of Medan Panjaitan, Bon Jovi Marselino; Munthe, Salman; Fikri, Miftah El
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1153

Abstract

This study aims to analyze the influence of Social Media Marketing through the Instagram platform and Influencer Marketing on the purchase decisions of Mie Gacoan culinary products among students of the Digital Business Study Program at Universitas Negeri Medan. The research employed a quantitative approach with a descriptive-associative method. Data were collected through questionnaires distributed to 130 respondents selected using purposive sampling. The data were analyzed using multiple linear regression with the assistance of SPSS version 21. The results show that both Social Media Marketing (Instagram) and Influencer Marketing have a positive and significant effect, both partially and simultaneously, on purchase decisions. These findings highlight the important role of digital marketing strategies through social media and influencers in shaping consumer purchasing decisions.
Analysis User Satisfaction with the Shopee Application User Interface and User Experience Using the C4.5 Algorithm Among Digital Business Students Universitas Negeri Medan Fitri, Anisa; Haryadi, Haryadi; Rahman, Haikal; Syah, Dedy Husrizal; Siregar, Zulkarnain
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1154

Abstract

This research aims to determine the level of user satisfaction with the user interface and user experience of the Shopee Application by classifying it using the C.4.5 algorithm. The research subjects used in this study are students of the Digital Business Study Program at Universitas Negeri Medan. This research uses a descriptive quantitative approach, with data collection through questionnaires designed using a Likert scale. The data obtained will then be analyzed using the C4.5 algorithm to produce a decision tree consisting of eight attributes used, namely strive for consistency, usability, offer information feedback, design dialogs to yield closure, prevent errors, permit easy reversal of action, keep user in control, and reduce short-term memory load. The result of the decision tree will form a rule or pattern that is easier to understand. From the data that has been collected, this research shows that the majority of user satisfaction levels fall under the class label category "SATISFIED," with the data divided into three classes: very satisfied, satisfied, and dissatisfied. In this study, the C4.5 algorithm was very capable of building a good classification model with an accuracy rate of 95%. This shows that the model is capable of classifying user satisfaction data very well.
Data-Driven Portfolio Optimization using K-Means and Markowitz Model: Evidence from LQ45 Stocks Nasution, Mutiara Akbar; Al-khowarizmi, Al-Khowarizmi
Economic: Journal Economic and Business Vol. 4 No. 2 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i2.1155

Abstract

This study aims to optimize stock portfolio allocation through a data-driven approach by integrating the K-Means Clustering algorithm and the Markowitz Model. The dataset includes technical and fundamental indicators of LQ45 index stocks from 2019 to 2024. The process begins with data normalization and feature extraction, followed by stock clustering using the K-Means algorithm. From the four resulting clusters, the top-performing stock with the highest average return is selected from each. Portfolio weights are then optimized using the Markowitz Model under a mean-variance framework without short selling. The optimization results allocate the largest weights to ARTO, BRPT, and ISAT. Performance evaluation through a backtest simulation in 2024 shows that the portfolio experienced only an 8.02% decline, outperforming the LQ45 index which dropped by 15.60%. These findings underscore the potential of integrating data mining and quantitative optimization methods to improve diversification efficiency and strengthen portfolio resilience during market downturns.
Development of RSI-MA Based Expert Advisor with Money Management Optimization for GBP/USD Trading on Weltrade Swap-Free Account in MetaTrader 5 Ginting, Lukas Destria Putra; Rahman, Haikal; Siregar, Zulkarnain
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1156

Abstract

This research develops an Expert Advisor (EA) based on Relative Strength Index (RSI) and Moving Average (MA) indicators with a money management strategy for trading GBP/USD on a swap-free account in MetaTrader 5. The strategy was tested in two different time frame scenarios (M30 and H1) with parameter optimization. This study employs the Research and Development method, analyzing data through backtesting and real-time testing. EA performance evaluation involved performance metrics such as win ratio, profit factor, drawdown, and recovery factor. Test results indicate that the M30 scenario is more optimal for short-term implementation, while the H1 scenario excels in long-term testing. Descriptive statistical analysis and T-tests revealed no significant difference between backtesting and real-time testing results for profit and total trades, but a significant difference for the balance variable. Overall, the developed EA shows good potential for adaptive automated trading strategies, especially on swap-free accounts.
Halal Certification as a Tool for Women's Economic Empowerment in MSMEs Harahap, Ade Khadijatul Z; Rahmat, Rahmat
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1164

Abstract

Halal certification offers various benefits, but the process of obtaining it often faces challenges, especially for MSMEs managed by women. One of the main obstacles is the relatively high cost of certification. This study uses a qualitative approach with a case study technique to deeply understand the role of halal certification in empowering women's economy in the MSME sector. Data were obtained through in-depth interviews with female MSME actors who have been halal certified and direct observation in the field. The results of the study show that women's communities or networks play an important role in supporting the halal certification process through education, collaboration, and moral support. In addition, halal certification has proven to be not only a label, but also an effective marketing strategy, increasing product competitiveness and opening wider market access. This study noted an increase in sales of up to 30% after obtaining halal certification, reflecting the potential of this certification in supporting the growth and sustainability of women's businesses.
The Effect of Knowledge Sharing, Achievement Motivation, and Organizational Commitment on Employee Performance At Pt. Angkasa Pura II Pekanbaru Marwansyah, Marwansyah; Hermansyah, Hermansyah
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1165

Abstract

This study aims to evaluate how organizational commitment plays a role in improving employee performance at PT. Angkasa Pura II Pekanbaru, by highlighting the influence of knowledge sharing practices and achievement motivation. The approach used is quantitative with an associative method. The research sample was selected using a stratified random sampling technique, involving 120 permanent employees as respondents. Data were collected through a questionnaire based on a semantic differential scale, and analyzed using SPSS 25 software and SmartPLS version 3.29. The results of the analysis show that both knowledge sharing and achievement motivation individually have a significant influence on organizational commitment. In addition, both factors also have a significant direct impact on employee performance. Other findings reveal that organizational commitment plays a significant mediating role in the relationship between knowledge sharing and achievement motivation on performance. This confirms that strengthening a culture of knowledge sharing and increasing motivation can strengthen employee commitment to the organization, which in turn has a positive impact on performance. This study is expected to be a practical reference in the preparation of human resource management strategies that focus on improving performance through strengthening organizational commitment in the workplace.
Analysis of Non-Cash Payment System on Economic Growth and Financial System Stability in Indonesia Apriyaningsih, Lilis; Rangkuty, Dewi Mahrani; Efendi, Bakhtiar; Sari, Wahyu Indah
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1166

Abstract

This study aims to analyze the impact of non-cash payment systems on economic growth and financial system stability in Indonesia. The non-cash payment instruments examined include e-money, debit cards, credit cards, the Bank Indonesia National Clearing System (BINCS), and real-time gross settlement (RTGS). The method used is a simultaneous equation model with the two-stage least squares (TSLS) approach, utilizing time-series data from 2013 to 2023. The results show that e-money and BINCS have a positive influence on economic growth, while RTGS and interest rates have a significant negative effect. Meanwhile, debit cards and credit cards significantly affect interest rates, with debit cards having a positive effect and credit cards a negative one. Furthermore, economic growth significantly contributes to lowering interest rates. These findings highlight that non-cash payment systems can enhance transaction efficiency, accelerate money circulation, and support monetary policy through their influence on interest rates. Therefore, strengthening digital payment systems is essential for promoting sustainable economic growth and maintaining national financial system stability.
The Influence of Work Safety, Work Motivation, and Work Discipline on Employee Performance at PT Sawit Sukses Sejati Zebua, Yanti Sepitri; Fitriano, Andre; Yunita, Mella
Economic: Journal Economic and Business Vol. 4 No. 3 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i3.1167

Abstract

This study aims to test and analyze the influence of Safety, Motivation, and Work Discipline on Employee Performance at PT. Sawit Sukses Sejati. The method used is a survey technique and filling out a questionnaire on all employees of PT. Sawit Sukses Sejati. The number of samples in this study was 74 employees. The results of the analysis of the hypothesis of this study are t count more than t table which is 5.256 less than 1.967 and the significance value is 0.001 less than 0.005, the value of t count more than t table or 4.02 more than 1.967 and the significance value is 0.001 less than 0.005, the value of t count more than t table or 3.538 more than 1.967 and the significance value is 0.001 less than 0.005. So it can be interpreted that the three independent variables affect the dependent variable. This means that safety, motivation, and work discipline affect the performance of an employee.

Page 12 of 21 | Total Record : 202

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