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Peningkatan Kompetensi Siswa SMK Melalui Pelatihan Dasar Sistem Operasi Linux Molavi Arman; Novan Wijaya; Meiriyama Meiriyama; Inayatullah Inayatullah; Muhammad Ezar Al Rivan; Yohannes Yohannes; Siska Devella
FORDICATE Vol 5 No 2 (2026): April 2026
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v5i2.15743

Abstract

Penguasaan sistem operasi Linux menjadi kebutuhan penting dalam dunia teknologi informasi, namun masih banyak siswa SMK yang belum memiliki kompetensi dasar dalam penggunaan command line. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi teknis siswa melalui pelatihan dasar Linux. Metode yang digunakan adalah pelatihan berbasis praktik langsung dengan pendekatan hands-on, meliputi materi navigasi file, manajemen proses, jaringan, dan informasi sistem. Hasil kegiatan menunjukkan bahwa peserta mampu memahami dan mengimplementasikan perintah dasar Linux secara mandiri serta menunjukkan peningkatan keterampilan teknis. Pelatihan ini juga memberikan kontribusi dalam mempersiapkan siswa menghadapi kebutuhan industri serta memperkenalkan pemanfaatan teknologi open source. Dengan demikian, kegiatan ini efektif dalam meningkatkan kompetensi siswa di bidang teknologi informasi.
Residual-Gated Attention U-Net with Channel Recalibration for Polyp Segmentation in Colonoscopy Images William Tanuwijaya; Yohannes
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/4qmfa987

Abstract

This study proposed a modification to the Attention U-Net architecture by integrating a Residual-Gated mechanism and Squeeze-and-Excitation (SE) Block-based channel recalibration within the Attention Gate to enhance feature selectivity in polyp segmentation. This integration reinforces both spatial and channel attention, enabling the model to better highlight polyp regions while suppressing irrelevant background features. Experiments were conducted on three colonoscopy datasets, CVC-ClinicDB, CVC-ColonDB, and CVC-300, using IoU and DSC metrics. Compared to the Attention U-Net baseline, the proposed model achieves noticeable improvements, with performance gains of mIoU 0.0043 and mDSC 0.0094 on CVC-ClinicDB, mIoU 0.0012 on CVC-ColonDB, and a larger margin of mIoU 0.0224 and mDSC 0.0127 on CVC-300. The best results were obtained on CVC-ClinicDB (mIoU 0.8889, mDSC 0.9412). Although the absolute scores on CVC-ClinicDB and CVC-ColonDB are lower than those reported in several recent studies, these datasets contain higher variability in polyp size, boundary ambiguity, and illumination, contributing to more challenging segmentation conditions. Visual evaluation further shows smoother and more coherent boundaries, especially on small or low-contrast polyps. Overall, the integration of the residual-gated mechanism and SE block within the attention gate effectively improves model accuracy and generalization, particularly in challenging scenarios.
Implementasi YOLOv10 untuk Pengenalan Alfabet SIBI berbasis Deteksi Gerakan Tangan Selvie Selvie; Yohannes Yohannes
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.2953

Abstract

Sign language is a primary communication tool for people with hearing and speech impairments. One key component of the Indonesian Sign System (SIBI) is the SIBI alphabet, used for words without specific signs. However, limited public understanding creates communication gaps. This study develops a web-based SIBI alphabet recognition system using the YOLOv10 model. The dataset initially contained 6,110 images and was augmented to 15,859 images. Eight hyperparameter settings were tested, with the best result at a learning rate of 0.001, batch size 32, and Adam optimizer, achieving mAP@50 of 0.988 and mAP@50–95 of 0.971. The model was then converted to ONNX for faster inference, yielding mAP@50 of 0.953 and 797.7 ms per image. The ONNX model was integrated into a web app capable of real-time SIBI recognition. Results show this approach is effective, inclusive, and accessible as an assistive communication tool.Keywords: Deep learning; SIBI Alphabet; YOLOv10 AbstrakBahasa isyarat merupakan sarana utama komunikasi bagi penyandang tunarungu dan tunawicara. Salah satu komponennya, alfabet Sistem Isyarat Bahasa Indonesia (SIBI), digunakan untuk menyampaikan kata yang tidak memiliki padanan isyarat khusus. Namun, kurangnya pemahaman masyarakat terhadap alfabet SIBI menimbulkan kesenjangan komunikasi. Penelitian ini bertujuan mengembangkan sistem pengenalan alfabet SIBI berbasis web menggunakan model YOLOv10. Dataset awal berjumlah 6.110 gambar dan diaugmentasi menjadi 15.859 gambar. Model dilatih menggunakan delapan konfigurasi hyperparameter yang menghasilkan performa terbaik pada learning rate 0,001, batch size 32, dan optimizer Adam dengan mAP@50 sebesar 0,988 dan mAP@50–95 sebesar 0,971. Untuk meningkatkan efisiensi, model dikonversi ke format ONNX dan diuji ulang menghasilkan mAP@50 sebesar 0,953 serta waktu inferensi 797,7 ms per gambar. Model ONNX kemudian diintegrasikan ke aplikasi web yang mampu mengenali alfabet SIBI secara real-time. Hasil menunjukkan pendekatan ini efektif sebagai alat bantu komunikasi yang inklusif dan mudah diakses. 
Co-Authors Ade Hendri Pandrean Adhytio Mahendra Adrian Chandra Albert Cahayadi Andreas, Kevin Ariel Sudarsono Azarya, Philips Denny Beni Anthony Bobby Jaya Saputra Cahyati, Imelia Dwinora Calvin Oliver Saputra Candra Candra Celvine Adi Putra Cendy Prakarsah Daffa Yudha Musyaffa Dafid Dafid Dandy, Dandy Daniel Udjulawa Daniel Udjulawa Devella, Siska Dody, Muhammad Fadhel Muhammad Famerdi, Farhan Agung Farhan Agung Famerdi Farisi, Ahmad Febbiola Febbiola Felix Gunawan Femmy Johan Feristyani, Indah Firda Novia Rahmawati Gerry Jeven Timoti Glen, Billy Hafiz Irsyad Hafiz Irsyad Hartati, Ery Inayatullah Inayatullah Indah Feristyani Jaysen Stephanus Jendraja Husin Kotan Jennifer Verty Jericho Jericho Jerry Setiawan Jimmy Aprilyanto Johannes Petrus Jonathan Tanujaya Joseph Eduard Uly Loni Julian Rusli Tee Baldi Juliana Nasution Kelvin Arianto Kevin Andreas Klaudius Audie Irsansaputra Laksana, Jovansa Putra Leo Chandra Leonardo Leonardo M Dhafa Adjie Saputra M. Zaky Naufal Farisky Marcella, Dewi Meiriyama Meiriyama, Meiriyama Migel Orvin Febryan Molavi Arman Muhammad Ezar Al Rivan Muhammad Farid Athar Muhammad Radja Juang Jamemiko Muhammad Rizky Pribadi Muhammad Yudha Setiawan Muhdhor, Umar Novan Wijaya Nur Rachmat Pandi Pandi Pandi Pandi, Pandi Pandrean, Ade Hendri Philips Denny Azarya Prabowo, Adrianus Prasthio, Rial Putra, Lipi Amanda Raphael Lee Ricky Wijaya RR. Ella Evrita Hestiandari Sahpira, Mulia Saputra, Dika Sari, Yulya Puspita Selvie Selvie Serenity Devina Suryanto Setiawan, Jerry Siska Amelia Siska Devella Siti Fatimah Az Zahrah Sonia Sonia, Sonia Tanuwijaya, William Timoteus Ivan Sariyo Veraldo Verrino Adityya Wijang Widhiarso William Hadisaputra William Tanuwijaya Yeremia Agung Chandra Yoannita Yoannita Yoannita Yoannita, Yoannita Yulya Puspita Sari