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All Journal Jurnal Plans : Penelitian Ilmu Manajemen dan Bisnis Jurnal Nasional Holistic Science Journal of Computers and Digital Business Asian Journal of Management Analytics Indonesian Journal Education EDUCTUM: Journal Research Jurnal Sains, Teknologi dan Komputer Economic: Journal Economic and Business Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal Pengabdiaan Masyarakat Larisma
Mutiara Akbar Nasution
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Pengujian Backtesting Expert Advisor Berbasis Donchian Channel pada 10 Pasangan Forex dengan Volume Perdagangan Tertinggi Mutiara Akbar Nasution
Journal of Computers and Digital Business Vol. 4 No. 1 (2025)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v4i1.609

Abstract

Penelitian ini mengevaluasi kinerja Expert Advisor (EA) berbasis indikator Donchian Channel pada sepuluh pasangan mata uang dengan volume perdagangan tertinggi melalui metode backtesting. Pengujian dilakukan menggunakan data historis dari 1 Desember 2021 hingga 1 Desember 2024 pada platform MetaTrader 5 dengan model "Every Tick." Parameter yang digunakan meliputi stop loss 50 pips, take profit 100 pips, trailing stop 100 pips, dan optimasi lot berdasarkan modal awal $10,000 dengan leverage 1:100. Hasil menunjukkan bahwa pasangan USD/JPY mencatatkan kinerja terbaik dengan total net profit $14,771.94, Profit Factor 2.47, dan Sharpe Ratio 5.16, sementara pasangan USD/CAD menunjukkan hasil terburuk dengan drawdown maksimum 11.12% dan Profit Factor 0.33. Strategi berbasis Donchian Channel efektif untuk pasangan dengan volatilitas tinggi, tetapi kurang optimal pada pasangan dengan volatilitas rendah tanpa penyesuaian parameter. Penelitian ini berkontribusi pada pengembangan strategi trading otomatis dengan menyediakan evaluasi empiris indikator Donchian Channel pada berbagai tingkat volatilitas. Hasil penelitian memberikan panduan praktis untuk menyesuaikan parameter strategi sesuai karakteristik pasar, serta mengurangi pengaruh emosional dalam trading. Studi ini juga membuka peluang untuk mengintegrasikan indikator tambahan guna meningkatkan akurasi prediksi.
Comparative Analysis of Financial Performance in National Private Banks Period 2021-2023 Using Descriptive Statistics and AHP Method Nasution, Mutiara Akbar; Ginting, Lukas Destria Putra; Fitri, Anisa
Economic: Journal Economic and Business Vol. 3 No. 4 (2024): 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.v3i4.848

Abstract

This study aims to analyze the financial performance of five national private banks in Indonesia during the period 2021-2023 using descriptive statistical methods and the Analytic Hierarchy Process (AHP). The six main financial ratios analyzed in this study include Capital Adequacy Ratio (CAR), Operating Costs to Operating Income (BOPO), Non-Performing Loan (NPL), Net Interest Margin (NIM), Current Account Saving Account (CASA), and Loan to Deposit Ratio (LDR). The results of the analysis show that Bank Permata has the best performance with the highest AHP score (0.92), supported by strong capital and good operational efficiency. Bank Danamon and Bank Panin are in second and third place, with AHP scores of 0.88 and 0.87, respectively, driven by advantages in interest income and credit expansion. Bank CIMB Niaga and OCBC NISP are at the bottom, with AHP scores of 0.80 and 0.72, indicating obstacles in operational efficiency and credit risk management. This study concludes that capital stability, operational efficiency, and the balance between credit expansion and liquidity are the main factors in determining bank financial performance. These findings are expected to be a reference for investors, regulators, and bank managers in making strategic decisions related to banking financial management.
Development of Marker-Based Augmented Reality Application for Learning Hijaiyah Letters in Tahfiz Schools Nasution, Mutiara Akbar; Ritonga, Rama Prameswara; Ahlun, Zaid; Lubis, Muhammad Rafli Taufiq
Holistic Science Vol. 5 No. 1 (2025): Jurnal Nasional Holistic Sciences
Publisher : Lembaga Riset Mutiara Akbar NOMOR AHU-0003295.AH.01.07 TAHUN 2021

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/hs.v5i1.894

Abstract

Learning Hijaiyah letters is an early stage in Islamic education, but conventional methods are often less interesting for children. Augmented Reality (AR) offers an innovative solution that can increase interactivity in the learning process. This study aims to develop and test a marker-based AR application for learning Hijaiyah letters in Tahfiz Schools. This application allows users to scan markers to display Hijaiyah letters in three dimensions and hear their pronunciation. The research method used is Research and Development (R&D) with a Waterfall model that includes needs analysis, design, implementation, and testing. Evaluation was carried out through Blackbox Testing for functionality and user questionnaires. The test results showed that this application functions well, is easy to use, and is attractive to students. The majority of users stated that the appearance and sound of the application are of good quality. Augmented Reality technology has been proven to improve the learning experience to be more interactive and effective. This study is expected to be a reference for the development of AR applications in Islamic education.
Meningkatkan Potensi Lokal Melalui Website dan Digital Marketing. Perancangan Website Desa, Sekolah, UMKM Nasution, Mutiara Akbar; Al-khowarizmi, Al-khowarizmi
Jurnal Pengabdian Masyarakat Larisma Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Larisma
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/jpml.v1i2.751

Abstract

Desa Bandar Labuhan memiliki potensi lokal yang melimpah, seperti hasil pertanian daun kelor dan buah duku, serta destinasi wisata Tamora Waterland dan Tamora Funland. Namun, potensi tersebut belum didukung oleh pemanfaatan teknologi digital yang optimal untuk promosi dan pengembangan. Kegiatan Kuliah Kerja Nyata (KKN) ini bertujuan untuk membantu Desa Bandar Labuhan dalam meningkatkan eksistensi digital melalui pengembangan website dan strategi digital marketing. Kegiatan ini mencakup pembuatan website untuk desa, sekolah, dan UMKM setempat, serta pelatihan pengelolaan website kepada masyarakat desa agar dapat dikelola secara mandiri. Website yang dibangun diharapkan mampu mempromosikan potensi lokal secara lebih luas dan meningkatkan daya saing desa di era digital. Hasil dari kegiatan ini menunjukkan adanya peningkatan keterampilan masyarakat dalam pengelolaan website dan peningkatan eksposur potensi desa melalui media digital. Diharapkan, inisiatif ini dapat berkelanjutan dan memberikan dampak ekonomi yang positif bagi masyarakat Desa Bandar Labuhan.
Developing Principal Leadership through Experiential Learnings Tanjung, Bahdin Nur; Elfrianto, Elfrianto; Pulungan, Lilik Hidayat; Nasution, Mutiara Akbar
Indonesian Journal Education Vol. 4 No. 1 (2025): Indonesian Journal Education (IJE)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ije.v4i1.959

Abstract

This study aims to identify and analyze how principal leadership development occurs through experiential learning. This study uses a literature review method to examine various literatures related to the concept of principal leadership and experiential learning. In the context of ever-evolving education, principals face complex challenges, ranging from policy changes to technology integration. The results of the study indicate that structured reflection, mentoring, practice-based training, and institutional support are key elements in leadership development. Reflection allows principals to evaluate decisions and actions in depth, while mentoring provides direct guidance from more experienced leaders to overcome real challenges. Practice-based training, such as leadership simulations and case studies, helps principals improve their skills in making strategic decisions. In addition, institutional support plays an important role by providing resources, supportive policies, and a conducive environment for continuous learning. This article recommends a holistic approach that integrates these elements to create an effective and relevant leadership development strategy in various educational contexts. With a systematic experience-based approach, principals are expected to be able to become adaptive, innovative, and effective learning leaders in facing the challenges of 21st century education.
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.
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.
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.
Co-Authors Agnes Irene Silitonga Ahlun, Zaid Al Khowarizmi Anisa Fitri Bahdin Nur Tanjung Elfrianto ., Elfrianto Fitriani Lubis Ginting, Juandro Prananta Hidayatullah, Amar Khoirani, Fihi Lubis, Cinta Rizkia Zahra Lubis, Muhammad Rafli Taufiq Lukas Destria Putra Ginting Nabila, Zada Annuri Nurdina Safitri Panjaitan, Bonjovi Marselino Pasaribu, Reyvanza Adliva Ananda Pulungan, Lilik Hidayat Rahman, Haikal Ramadhan, Novan Ananda Ritonga, Rama Prameswara Rizwinie, Khesya Sabila Rizwinie, Khesya Sabilah Safitri, Nurdina Salsabila, Salsabila Sihaloho, Jhonathan Sihotang, Fihi Khoirani Silaban, Vetryc Styphen Siregar, Jihan Aulia Toruan, Anjel Monika Lomban Utami, Ananda Putri Yoakim Simamora