cover
Contact Name
Elfrianto
Contact Email
elfrianto@umsu.ac.id
Phone
+6282161800054
Journal Mail Official
larisma2021@gmail.com
Editorial Address
JL. Durung No. 85, Sidorejo Hilir, Kec. Medan Tembung Kota Medan – Sumatera Utara – Kodepos 20222
Location
Kota medan,
Sumatera utara
INDONESIA
Economic: Journal Economic and Business
ISSN : -     EISSN : 29638801     DOI : https://doi.org/10.56495/ejeb
Core Subject : Economy, Science,
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
Articles 202 Documents
Implementation of Breakout Strategy and Adaptive Risk Management in an Expert Advisor with Optimized Bollinger Bands and RSI Parameters on MetaTrader 5 Nasution, Mutiara Akbar; Rahman, Haikal
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.v4i3.1177

Abstract

The development of automated trading systems in forex markets has increased the demand for adaptive strategies based on technical indicators. This study aims to develop and evaluate an Expert Advisor (EA) utilizing a breakout strategy integrated with Bollinger Bands and Relative Strength Index (RSI) indicators, as well as adaptive risk management, on the MetaTrader 5 platform. A Research and Development (R&D) approach using the Prototyping model was employed to iteratively design and refine the EA. The system was evaluated through three stages: backtesting, parameter optimization, and real-time testing on three major currency pairs—EUR/USD, GBP/USD, and USD/JPY. Parameter optimization using the Fast Genetic Based Algorithm led to improved performance across all pairs, with significant enhancements in drawdown reduction and profit factor. One-month real-time testing demonstrated that the EA maintained a profit factor above 1 and a drawdown below 1% for EUR/USD and GBP/USD. The findings indicate that integrating a breakout strategy with technical indicator optimization and adaptive risk management significantly enhances the effectiveness of automated trading systems. This research contributes to both academic literature and practical applications in the development of algorithmic trading systems based on technical indicators.
An Empirical Analysis of the Impact of Exchange Rate Volatility on Trade Balance in Nigeria Esomnofu, Chiedozie I; Okpalanwabude, Ifeoma F
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.v4i3.1185

Abstract

The aim of this paper is to examine the effect of exchange rate volatility on trade balance in Nigeria. Data were collected from the Central Bank of Nigeria Statistical Bulletin from 1981 to 2016, and ARDL model was utilized to address the objective of this study. It was discovered from the study that exchange rate volatility has a significant negative impact on Nigerian trade balances. This negative impact could be attributable to the lack of competitiveness of locally made products in the world market. However, there is a positive relationship between exchange rate volatility and gross fixed capital formation, though this is not consistent with economic theory. This result could be linked with the overdependence of the country on foreign goods. Therefore, exchange rate volatility has a negative impact on trade balance in Nigeria. Based on these findings, whenever, the sustainable economic development is the goal of the policy makers in Nigeria, adequate strategic policy that has the capacity to stabilize the country`s exchange rate should be embarked upon by the policy makers in the country. Similarly, the Nigerian government should possess political goodwill to embark on aggressive export promotion policies that will ensure the competitiveness of domestically produced items through value added approach.
The Influence of Chatgpt Usage and Reading Literacy on the Learning Interest of Business Education Students of the 2022 Faculty of Economics, State University of Medan Amimi, Fifin Sajdah; Saragih, Lenti Susanna
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.v4i3.1197

Abstract

This study aims to analyze the effect of using ChatGPT and reading literacy on the learning interest of Business Education students of the 2022 Stambuk Faculty of Economics, State University of Medan. The research method used is ex post facto with 63 students as research subjects. Data were collected through a questionnaire that measured the use of ChatGPT, reading literacy, and learning interest. The results of the analysis show that the use of ChatGPT has a positive effect on students' learning interest, with a t-count value of 6.447 and a significance of 0.000. In addition, reading literacy also has a positive effect, with a t-count value of 5.471 and a significance of 0.000. Simultaneously, the use of ChatGPT and reading literacy contributed 62.3% to students' learning interest. These findings indicate that the integration of technology in learning, such as ChatGPT, and increasing reading literacy can increase students' learning interest, which is important for developing more effective learning methods in the digital era.
Conceptual Analysis of the Influence of Transformational Leadership Style on Employee Performance through Job Satisfaction: A Systematic Literature Review Tanjung, Bahdin Nur; Nasution, Mutiara Akbar
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.v4i3.1203

Abstract

This study aims to conceptually analyze the relationship between transformational leadership, job satisfaction, and employee performance through a systematic literature review approach. A total of 15 scholarly articles from reputable national and international journals, particularly those indexed in Scopus, were analyzed using narrative synthesis and thematic analysis. The findings indicate that transformational leadership consistently has a positive effect on employee performance, both directly and indirectly through job satisfaction as a mediating variable. Dimensions such as idealized influence, inspirational motivation, and individualized consideration play a crucial role in fostering high levels of job satisfaction, which in turn enhance employee loyalty, motivation, and productivity. Although variations in influence were observed based on organizational and cultural contexts, the overall relationship among variables remains strong and significant. This study contributes theoretically to the development of leadership models that emphasize psychological values and provides a foundation for future quantitative research. The findings may also serve as a reference for organizations in designing leadership training programs aimed at increasing job satisfaction and employee performance.
The Influence of Trust, Service Features, and Product Knowledge on DANA E-Wallet User Satisfaction Among Digital Business Students at UNIMED Nerva, Souza Al-Gibrani; Aprinawati, Aprinawati
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.v4i3.1217

Abstract

This study aims to examine the influence of trust, service features, and product knowledge on user satisfaction with the Dana e-wallet application among students of the Digital Business Study Program, Faculty of Economics, Universitas Negeri Medan. A descriptive quantitative approach was employed, using purposive sampling to select 73 respondents who had used the Dana application for at least six months. Data were analyzed using multiple linear regression to assess both simultaneous and partial effects of the independent variables on user satisfaction. The results show that trust and product knowledge have a positive and significant effect on user satisfaction, while service features do not have a significant influence. The coefficient of determination (R²) is 0.731, indicating that 73.1% of the variation in user satisfaction can be explained by the three independent variables, while the remaining 26.9% is influenced by other unexamined factors. These findings highlight the importance of building user trust and enhancing product understanding as key strategies for improving satisfaction with the Dana e-wallet.
Expert Advisor Construction Using Fixed Fractional Money Management and Williams Percent-R Indicator In DAX-30 (DE30) Trading: Analysis on Zero Spread Account Silaban, Vetric Styven; Rahman, Haikal; Syah, Dedy Husrizal
Economic: Journal Economic and Business Vol. 4 No. 4 (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.v4i4.1208

Abstract

This study aims to analyze the effectiveness of an automated strategy for trading the DAX-30 index through the construction of an Expert Advisor integrating the Williams Percent Range indicator and the Fixed Fractional Money Management method. The strategy was tested on a Zero Spread account, which offers zero spreads with a fixed commission per lot, to assess the impact of the fee structure on profitability. A prototype Expert Advisor was developed and tested using historical and real-time data on the MetaTrader 5 platform. Backtesting results showed that the combination of the Williams Percent Range indicator and the risk management method produced consistent performance, with an adequate profit ratio and controlled drawdown. Implementing the strategy on a Zero Spread account improved execution precision and risk calculation accuracy, significantly impacting equity curve consistency. Real-time testing demonstrated that eliminating variable spreads improved the validity of technical signals and the effectiveness of risk management. This study concluded that the combination of a technical approach and automated risk management can optimize trading strategy performance in volatile market conditions.
Designing an Automated Trading System Based on Oscar's Grind Money Management with Bollinger Bands and ADX for Trading XAU/USD on the MetaTrader 5 Platform Sadewo, Bayu; Rahman, Haikal; Syah, Dedy Husrizal
Economic: Journal Economic and Business Vol. 4 No. 4 (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.v4i4.1266

Abstract

This study designed and evaluated an automated trading system, or Expert Advisor (EA), for the XAU/USD instrument that integrates a trend-following strategy with a disciplined risk management approach. The system utilizes Bollinger Bands and the Average Directional Index for trading signals, and applies Oscar's Grind Money Management for position management. The EA's performance was tested on the MetaTrader 5 platform in two timeframe scenarios, H1 and H4, through backtesting over three years and real-time testing over one month. The findings consistently show that the strategy on the H4 timeframe significantly outperforms the H1 timeframe in both historical simulations and real-world testing, demonstrating higher stability, greater efficiency, and more controlled risk. Statistical tests also confirmed a significant difference in the final balance accumulation between the simulated and real-world environments. It was concluded that the use of the H4 timeframe proved highly effective for this strategy in filtering market noise and improving trading signal quality.
Optimizing Digital Marketing and Pricing to Strengthen Consumer Loyalty in Startup Businesses Fatmawati, Rizky; Salsabila, Eka Rahma
Economic: Journal Economic and Business Vol. 4 No. 4 (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.v4i4.1267

Abstract

This study aims to evaluate the implementation of digital marketing strategies and pricing management to strengthen consumer loyalty in startup businesses. The background of this study is based on the increasing use of the internet and social media as promotional tools that are not being maximized by startup businesses. The study uses a qualitative descriptive approach with data collection methods through observation, interviews, and documentation of startup business actors. The results show that the use of integrated digital marketing and price optimization through behavioral economics on startup business platforms such as Shopee and Blibli has a positive impact on increasing consumer loyalty. The novelty of this study lies in the integrative approach that combines behavioral psychology-based pricing strategies with digital marketing techniques to build consumer loyalty among startuppreneurs. This approach has not been widely explored in the context of startups in developing countries, particularly Indonesia, thus offering a new perspective relevant to sustainable digital business models.
The Influence of TikTok’s For You Page And Lifestyle on Impulsive Buying Decisions of Clothing Products Among Generation Z (Digital Business Students at Universitas Negeri Medan 2021–2022) Tumangger, Emya Malum Karina; Munthe, Salman
Economic: Journal Economic and Business Vol. 4 No. 4 (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.v4i4.1276

Abstract

This study aims to analyze the influence of TikTok's For You Page (FYP) and lifestyle on impulsive clothing purchase decisions among students of the Digital Business Study Program at Medan State University, class of 2021–2022. This research employs a quantitative approach with an associative descriptive method. Data were collected through questionnaires distributed to 110 respondents using purposive sampling. The data were analyzed using multiple linear regression with the assistance of SPSS. The findings reveal that both TikTok's For You Page and lifestyle have a positive and significant effect, either partially or simultaneously, on impulsive purchase decisions. These results highlight the important role of TikTok content displayed on the FYP and students' lifestyle patterns in encouraging spontaneous buying behavior of clothing products.
Optimizing the Instagram Algorithm Through Digital Content Posting Strategies to Increase Customer Engagement: A Case Study on the Instagram Account @meneljahitanku_ Chairani, Dwi Citra; Haryadi, Haryadi
Economic: Journal Economic and Business Vol. 4 No. 4 (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.v4i4.1279

Abstract

This study aims to analyze, develop, and evaluate the effectiveness of digital content posting strategies tailored to the Instagram algorithm to increase customer engagement on the @meneljahitanku_ account. The background of this study is the difficulty of MSMEs in understanding the complex mechanisms of the Instagram algorithm, resulting in stagnant customer interaction despite a sufficient number of followers. Using a qualitative single case study approach, data was collected through semi-structured interviews (before & after intervention), observations, and content experiments for 30 days (July–August 2025). The results showed significant improvements: the engagement rate increased from 1.62% to 6.74%; impressions increased by 384.20% (from 25,500 to 123,471); followers increased by 5.67%. The Reels format and the Testimonial content pillar proved to be the most effective in triggering engagement.