Article Per Year (5 Year)
p-Index From 2020 - 2025
0.835
P-Index
This Author published in this journals
All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar IKRA-ITH EKONOMIKA Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Dita Eka Pertiwi Sirait
Unknown Affiliation
Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Implementation Of Expert Advisor Using Multi-Indicator Bollinger Bands And RSI Optimization With Adaptive Money Management On XAU/USD Pair: Exness Broker Account Case Study In Metatrader 5: Penelitian Daniel Marco Hutabarat; Haikal Rahman; Dita Eka Pertiwi Sirait
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.1806

Abstract

Trading on the XAU/USD pair has high profit potential but is accompanied by significant volatility and emotional challenges for manual traders. This study aims to design, develop, and validate an Expert Advisor (EA) that can execute trading strategies automatically and profitably. The research method used is Research and Development (R&D) with a prototype model. The implemented strategy is a mean reversion strategy that integrates signals from the Bollinger Bands and Relative Strength Index (RSI) indicators, reinforced by an adaptive money management system to dynamically manage risk. The EA was developed on the MetaTrader 5 platform and tested through three main stages: backtesting on historical data, parameter optimization using the Fast Genetic Based Algorithm, and real-time testing for one month on an Exness broker demo account. The research results show that the optimization process successfully transformed the EA's performance from unprofitable to profitable. In real-time testing, both time frames tested showed positive results. The H1 time frame proved more robust, generating a net profit of $546.11 from three transactions and a Profit Factor of 3.92. Meanwhile, the H4 time frame demonstrated superior precision with a Win Rate of 100% and a Max Drawdown of 1.41% from a single transaction. This study concludes that the developed Expert Advisor is a valid and potentially profitable system for XAU/USD trading, with the H1 time frame offering more proven performance for practical application.
Design and Implementation Of Expert Advisor on Percentage Risk Money Management Using Supertrend and RSI Indicators on the USD/SGD Pair in MetaTrader 5 : Penelitian Rehulina Dahinta Ketaren; Haikal Rahman; Dita Eka Pertiwi Sirait
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.1807

Abstract

This research designs and evaluates an Expert Advisor (EA) for trading by automating a strategy based on the Supertrend and RSI indicators, integrated with a Percentage Risk Money Management system. Using a Research and Development method with the Agile-Scrum model, the EA was implemented on MetaTrader 5 for the USD/SGD currency pair. It was tested through a five-year backtest (2020-2025) and a one-month real-time test on the H1 and H4 timeframes. The results show that the EA was able to generate profit on both timeframes, with optimal performance on H4 (profit factor of 1.69, maximum drawdown of 7.92%), while H1 showed profitability with higher risk (maximum drawdown of 16.97%). The EA successfully identified market trend direction and momentum objectively while applying disciplined risk management through dynamic lot sizing, stop loss, and take profit. The research concludes that the integration of Percentage Risk Money Management with the Supertrend and RSI indicators within an EA is an effective approach for automating USD/SGD trading, offering practical contributions to systematic risk management and academic contributions to the development of algorithmic trading systems.
PENGARUH PRAKTIK KERJA LAPANGAN, LINGKUNGAN KELUARGA, DAN MOTIVASI MEMASUKI DUNIA KERJA TERHADAP KESIAPAN KERJA SISWA KELAS XII JURUSAN PEMASARAN SMK SWASTA JAMBI MEDAN Intan Riang Buulolo; Dita Eka Pertiwi Sirait
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025 Terbit
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.32908

Abstract

This study aims to investigate the influence of Internship, Family Environment, and Motivation to Enter the Workforce on the Work Readiness of Grade XII Marketing students at SMK Swasta Jambi Medan.The research was conducted at SMK Swasta Jambi Medan with a total of 74 Grade XII Marketing students as participants, selected through total sampling. This study employed a quantitative approach, and data were collected using structured questionnaires.The results of the multiple linear regression analysis reveal that Internship has a positive and significant effect on students’ work readiness (t = 5.942 > 1.994; p = 0.000 < 0.05), Family Environment (t = 5.956 > 1.994; p = 0.000 < 0.05), and Motivation to Enter the Workforce (t = 5.469 > 1.994; p = 0.000 < 0.05). Simultaneously, these three variables significantly influence work readiness (F = 60.141 > 2.74; p = 0.000 < 0.05). The coefficient of determination (R² = 0.720) indicates that 72% of the variance in students’ work readiness is explained by these independent variables, while the remaining 28% is attributed to other factors beyond this study.These findings underscore the critical role of internship experiences, a supportive family environment, and personal motivation in developing students’ work readiness. The study also provides practical implications for schools, parents, and students to continuously enhance these factors to better prepare students for the demands of the workforce.
ANALISIS KINERJA EXPERT ADVISOR DENGAN OPTIMASI PARAMETER INDIKATOR RSI DAN SMOOTHED MOVING AVERAGE UNTUK TRADING US100 (STUDI KASUS MENGGUNAKAN AKUN STANDAR BROKER FXTM) Paskah Monika Putri Gultom; Haikal Rahman; Dita Eka Pertiwi Sirait
IKRAITH-EKONOMIKA Vol. 8 No. 3 (2025): IKRAITH-EKONOMIKA Vol 8 No 3 November 2025
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk merancang, mengembangkan, dan mengevaluasi Expert Advisor (EA) yang menggabungkan indikator Relative Strength Index (RSI) dan Smoothed Moving Average (SMMA) untuk mendukung aktivitas perdagangan otomatis pada indeks US100 dengan menggunakan akun standar broker FXTM. Masalah utama yang diangkat adalah tingginya volatilitas US100 yang menyebabkan sinyal trading menjadi kurang akurat apabila parameter indikator menggunakan pengaturan default. Oleh karena itu, optimasi parameter dilakukan melalui metode grid search pada fitur Strategy Tester di MetaTrader 5 dengan menggunakan data historis selama lima tahun (Juli 2020–Juli 2025). Optimasi difokuskan pada periode RSI, level ambang RSI, serta periode SMMA. Evaluasi kinerja dilakukan melalui backtesting dan dilanjutkan dengan pengujian real-time untuk menilai tingkat kestabilan serta ketahanan strategi. Hasil penelitian menunjukkan bahwa penggunaan parameter yang telah dioptimasi mampu meningkatkan akurasi sinyal, rasio profitabilitas, dan efektivitas pengelolaan risiko dibandingkan parameter standar. EA terbukti lebih responsif dalam mengikuti arah tren, mengurangi kemunculan sinyal palsu pada kondisi volatil, serta menampilkan kinerja yang lebih konsisten pada kondisi pasar yang sedang tren maupun bergerak menyamping. Meski demikian, performa EA masih dipengaruhi oleh lonjakan volatilitas ekstrem sehingga memerlukan optimasi ulang secara berkala agar tetap relevan dalam kondisi pasar nyata. Kata kunci: Expert Advisor, algorithmic trading, RSI, SMMA, US100, optimasi parameter, backtesting
PENGARUH KEMAMPUAN LITERASI DIGITAL DAN KEDISIPLINAN SISWA TERHADAP HASIL BELAJAR SISWA KELAS XI BISNIS DIGITAL SMK SWASTA BUDI AGUNG MEDAN T.A 2024/2025 Sulaiman Falah Siregar; Dita Eka Pertiwi Sirait
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.36802

Abstract

The purpose of this study was to determine and analyze the influence of digital literacy skills and student discipline on the learning outcomes of Grade XI Digital Business students in the 2024/2025 academic year. This research employed a quantitative method with an ex post facto approach. Data were collected through observation, documentation, and questionnaires administered to 30 respondents, then analyzed using multiple linear regression with the assistance of SPSS 25. The results showed that both digital literacy skills and student discipline had a positive and significant effect, both partially and simultaneously, on student learning outcomes. The coefficient of determination (R²) value was 0.596, indicating that these two variables contributed 59.6% to the students’ learning outcomes.
Co-Authors Daniel Marco Hutabarat Haikal Rahman Intan Riang Buulolo Paskah Monika Putri Gultom Rehulina Dahinta Ketaren Sulaiman Falah Siregar