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Pendampingan Teknologi Pendidikan Dalam Meningkatkan Kompetensi Digital Guru Di Era Transformasi Pembelajaran Di SMK NMC Malang Umniyatis Sholihah Hastriana; Dewi Istiqomah; Ikhsan Gunadi; Yanuar Sinatra; Admi Rut Sinana
Jurnal Pengabdian Masyarakat Vol 4 No 1 (2026): Vol. 4 No. 1 Januari 2026
Publisher : Sekolah Tinggi Teknik Multimedia Internasional Malang

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Abstract

Transformasi digital dalam dunia pendidikan menuntut guru untuk memiliki kompetensi teknologi yang memadai. Namun, masih banyak tenaga pendidik yang mengalami keterbatasan dalam pemanfaatan platform pembelajaran digital secara optimal. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi guru dalam penggunaan teknologi pendidikan melalui program pendampingan berbasis praktik. Metode pelaksanaan meliputi tahap identifikasi kebutuhan, pelatihan, pendampingan intensif, dan evaluasi. Kegiatan dilaksanakan selama tiga bulan dengan peserta sebanyak 25 guru tingkat SMK NMC Malang. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan guru dalam penggunaan Learning Management System (LMS), pembuatan media pembelajaran interaktif, serta penerapan evaluasi berbasis digital. Tingkat kepuasan peserta mencapai 92%, dan 85% guru mampu mengimplementasikan teknologi dalam proses pembelajaran secara mandiri. Kegiatan ini memberikan dampak positif terhadap kualitas pembelajaran serta mendorong budaya literasi digital di lingkungan sekolah.
PERANCANGAN DAN IMPLEMENTASI ROBOT EXPERT ADVISOR (EA) BERBASIS BAHASA PEMROGRAMAN MQL 5 MENGGUNAKAN STRATEGI EMA DAN RSI Ahmad Syahrul Maskuri; Wincoko Wincoko; Yanuar Sinatra
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7209

Abstract

The development of technology in forex trading has encouraged the use of automated systems to assist analysis and decision-making. However, traders still face challenges in technical analysis, emotional control, and time limitations, making an automated system for executing trades necessary. This study aims to design and implement an Expert Advisor (EA) based on the MQL5 programming language using Exponential Moving Average (EMA) and Relative Strength Index (RSI) indicators. The method used is the waterfall model, which includes analysis, design, implementation, and testing stages. The system was tested using historical EUR/USD data on the MetaTrader 5 platform. The results show that the system generated 125 trades, consisting of 48 profitable and 77 losing trades, with a win rate of 38.40%. The system produced a profit of 21.29 USD with a maximum drawdown of 0.90%. Based on general trading performance standards, this win rate is considered relatively low; however, it is still acceptable due to the low drawdown, indicating that the system maintains controlled risk despite its suboptimal signal accuracy. In conclusion, the developed EA is capable of operating properly and generating profit, but further improvement is needed, particularly in enhancing signal accuracy to achieve better performance.