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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Teknologi dan Sistem Komputer International Journal of Artificial Intelligence Research Communications in Science and Technology SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Elektrika Jurnal Abdi Insani Jurnal Pengabdian kepada Masyarakat Nusantara Bookchapter Pendidikan Universitas Negeri Semarang Indonesian Journal of Mathematics and Natural Sciences
Nugroho, Anan
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Peningkatan kompetensi elektronika siswa SMKN 4 Semarang melalui pelatihan rakit drone quadcopter Nugroho, Anan; Wahyudi, Wahyudi; Rusiyanto, Rusiyanto; Naryanto, Rizqi Fitri; Ghulamzaki, Muhammad; Mubarak, Raihan Fa'iq; Hidayatulloh, Dimas Restu
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 3 (2024): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i3.25385

Abstract

AbstrakPentingnya penguasaan teknologi bagi siswa Teknik Elektronika Industri di SMKN 4 Semarang dapat diwujudkan melalui pelatihan perakitan quadcopter yang mendukung pemahaman dan praktik langsung dalam menghadapi perkembangan teknologi. Tujuan dari kegiatan pengabdian ini adalah agar siswa dapat belajar dan memiliki pengetahuan dalam bidang elektronika, khususnya pemahaman terkait quadcopter. Metode pelaksanaan meliputi merumuskan masalah, menentukan komponen, penyampaian materi, praktik merakit, dan praktik menerbangkan quadcopter. Pelatihan perakitan quadcopter diadakan pada hari kamis, 25 April 2024, di SMKN 4 Semarang, dengan jumlah peserta sebanyak empat puluh siswa. Pelatihan berhasil membuka wawasan bagi siswa SMKN 4 Semarang untuk mengembangkan kompetensi elektronika dengan mengetahui komponen, cara merakit, dan cara menerbangkan quadcopter.  Kata kunci: elektronika; kompetensi; quadcopter; pelatihan; perakitan AbstractThe importance of mastering technology for Industrial Electronics Engineering students at SMKN 4 Semarang can be realized through quadcopter assembly training that supports understanding and direct practice in dealing with technological developments. The purpose of this service activity is for students to learn and have knowledge in the field of electronics, especially understanding related to quadcopters. The implementation method includes observation, formulating problems, delivering material, practicing assembling, and practicing flying the quadcopter. The quadcopter assembly training was held on Thursday, April 25, 2024, at SMKN 4 Semarang, with forty students participating. The training succeeded in opening insights for SMKN 4 Semarang students to develop electronic competencies by knowing the components, how to assemble, and how to fly the quadcopter.  Keywords: electronics; competency; quadcopter; service; assembly
Optimalisasi Elementor Pro untuk Landing Page Sekolah Interaktif dengan Formulir Otomatis Berbasis WordPress Richardo, Hizkia Natanael; Astagina, Paramesti; Ariolin, Anantha Revoislami; Budiman, Kholiq; Nugroho, Anan; Alamsyah, Alamsyah
Indonesian Journal of Mathematics and Natural Sciences Vol. 48 No. 2 (2025): Vol. 48 No. 2 (2025): Volume 48 Nomor 2 October 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jm.v48i2.29374

Abstract

Perkembangan teknologi informasi mendorong institusi pendidikan untuk mengadopsi platform digital guna meningkatkan komunikasi dengan pemangku kepentingan. Penelitian ini bertujuan untuk mengkaji optimalisasi Elementor Pro dalam merancang landing page sekolah yang interaktif dengan integrasi formulir otomatis menggunakan pendekatan Agile. Metode Agile diterapkan melalui tahapan perencanaan, perancangan, pengembangan, pengujian, penerapan, dan tinjauan, dengan fokus pada efisiensi pengembangan dan pengalaman pengguna. Hasil penelitian menunjukkan bahwa Elementor Pro memungkinkan pembuatan landing page yang responsif dan menarik secara visual dengan waktu pengembangan yang lebih singkat dibandingkan metode konvensional, berkat fitur drag-and-drop dan integrasi plugin seperti Fluent Form dan FluentSMTP. Landing page yang dihasilkan mencapai waktu pemuatan rata-rata 2,8 detik dan skor Lighthouse yang optimal (Best Practices 100, SEO 85), mendukung aksesibilitas dan visibilitas daring. Integrasi formulir otomatis meningkatkan efisiensi pengelolaan data komunikasi, seperti pendaftaran siswa baru. Penelitian ini memberikan kontribusi praktis berupa solusi digital untuk sekolah dan kontribusi akademik dalam pengembangan web berbasis no-code/low-code.
Performance of Deep Face Recognition Models under Adaptive Margin Loss: A Real-Time Evaluation Aditama, Kevin Muhammad Tegar; Nugroho, Anan; Subiyanto, Subiyanto; Pongoh, Arthur Gregorius
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1641

Abstract

Real-time face recognition systems encounter a critical trade-off between high-security demands and computational efficiency, particularly when deployed in unconstrained open-set environments. This study presents a comprehensive benchmarking of four distinct deep learning backbones ResNet100, GhostFaceNet, LAFS, and TransFace specifically trained using the Adaptive Margin Loss (AdaFace) function to handle image quality variations. The primary objective is to identify the optimal architecture for secure attendance systems operating on standard hardware with limited training data. The evaluation protocol employs a rigorous real-world open-set test to quantify performance using False Acceptance Rate (FAR) and False Rejection Rate (FRR). The experimental results demonstrate that ResNet100 establishes the highest security standard, achieving a 0.00% FAR at strict thresholds. Meanwhile, GhostFaceNet emerges as the most balanced solution for resource-constrained deployments, delivering competitive accuracy above 93% with significantly lower computational complexity. Conversely, the Vision Transformer (TransFace) fails to generalize in this low-data regime, resulting in unacceptable false acceptance rates. These findings definitively recommend GhostFaceNet for efficient edge-based implementations, while ResNet100 remains the superior choice for mission-critical security applications.
Co-Authors Abiaska, Arya Kresna Aditama, Kevin Muhammad Tegar Afifi, Sesaria Nisa Agus Ardiyanto Al Wafi, Ahmad Zein Alamsyah - Alfa Faridh Suni Anggraini Mulwinda Arfriandi, Arief Ariolin, Anantha Revoislami Astagina, Paramesti Baehaqi Bambang Priyono Budi Sunarko Budiman, Kholiq Dwi Oktaviyanti, Dwi Firdaus, Agung Adi Ghulamzaki, Muhammad Hanung Adi Nugroho Hari Wibawanto Heny Setyawati Hidayatulloh, Dimas Restu Indaryanto, Faizal Lina Choridah Mahalul Azam Mubarak, Raihan Fa'iq Mukti, Gandhi Satria Noor Akhmad Setiawan Nurharsono, Tri Pongoh, Arthur Gregorius Pradana, Irzhafran Ridho Rezianto, Rizal Richardo, Hizkia Natanael Ricko Irawan Rismawan, Yudha Andriano Rizqi Fitri Naryanto Roni Saputra, Roni Rusiyanto Rusiyanto, Rusiyanto Said Sunardiyo Salsabila, Alif Mazida Savitri, Dina Wulung Septiani, Amalia Setiyawan, Farhan Taufikurrahman Setya Rahayu Soambaton, Muhammad Febrian Soedjatmiko Soedjatmiko Sri Lestari Sri Sukamta Tatyantoro Andrasto Ulfah Mediaty Arief Wafi, Ahmad Zein Al Wahyudi Wahyudi