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All Journal Jurnal Pengabdian Kepada Masyarakat Elimensi Journal of Electrical Engineering
Putri, Adira
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Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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Aplikasi Deep Learning dalam Pengolahan Sinyal EMG untuk Pengenalan Gesture Tangan pada Prostesis Adaptif Putri, Adira
Journal of Electrical Engineering Vol. 2 No. 02 (2024): Elimensi : Journal of Electrical Engineering
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/elimensi.v2i02.423

Abstract

Penelitian ini mengembangkan sistem pengenalan gesture tangan berbasis sinyal elektromiografi (EMG) menggunakan teknik Deep Learning untuk aplikasi prostesis adaptif. Dalam penelitian ini, kami menggabungkan Jaringan Saraf Konvolusional (CNN) untuk ekstraksi fitur spasial dan Long Short-Term Memory (LSTM) untuk pemodelan urutan temporal sinyal EMG, dengan tujuan meningkatkan akurasi dan responsivitas sistem pengenalan gesture tangan. Model ini dilatih dengan data sinyal EMG yang dikumpulkan dari berbagai individu dengan berbagai tingkat pengalaman dan kondisi fisik, kemudian diuji menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil evaluasi menunjukkan bahwa kombinasi CNN dan LSTM mampu meningkatkan akurasi pengenalan gesture tangan, mencapai akurasi 92,3%, dengan F1-score 92,5%, dibandingkan dengan hanya menggunakan CNN. Selain itu, sistem yang dikembangkan menunjukkan latensi yang rendah (±50 ms) sehingga mampu merespons input secara real-time, yang esensial untuk pengendalian prostesis adaptif. Uji coba implementasi pada prototipe prostesis menunjukkan bahwa pengguna dapat mengendalikan prostesis dengan presisi yang tinggi dalam berbagai gesture tangan. Penelitian ini memberikan kontribusi signifikan dalam pengembangan prostesis adaptif yang lebih responsif dan alami, serta membuka peluang untuk pengembangan lebih lanjut pada sistem kontrol berbasis sinyal EMG dengan pendekatan Deep Learning.
Legal Enligtenment for Communities Affected by Illegal Online Loans and Online Gambling In Meruyung Village, Depok City Mulyadi, Mulyadi; K, Kayus Leoleba; Ediani, Fasya Millatina; Putri, Adira; Manuel , Vedro
Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 6 (2025): Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Era Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59066/jpkm.v1i6.1754

Abstract

Community service activities in Meruyung Village, Depok City, focus on providing legal enlightenment to people affected by illegal online loans and online gambling. The main aim of this program is to increase public legal awareness regarding the negative impacts and legal consequences of engaging in illegal online lending and online gambling activities. The activity method is socialization and education through seminar activities. The community is provided with knowledge about the laws governing online loans and online gambling, including risks and how to identify legal and safe loan services. Before carrying out administrative activities, information is provided to residents about the material that will be delivered later. Education for increase public awareness regarding the dangers of illegal online loans and online gambling. The results achieved by these community services have made the public more aware of the dangers and legal consequences of illegal online loans and online gambling.  As a result, the plan is to hold a collaboration between the Meruyung sub-district and UPNVJ, there are people who are victims of illegal online loans and online gambling to get the legal assistance needed to resolve their problems. After carrying out this outreach activity, it is hoped that in the future the Meruyung sub-district community will see a significant reduction in the number of online loan cases. illegal and online gambling
Co-Authors Ediani, Fasya Millatina K, Kayus Leoleba Manuel , Vedro Mulyadi Mulyadi