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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan)
Vina Ayumi
Universitas Dian Nusantara
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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MOBILENET PERFORMANCE IMPROVEMENTS FOR DEEPFAKE IMAGE IDENTIFICATION USING ACTIVATION FUNCTION AND REGULARIZATION Handrie Noprisson; Vina Ayumi; Mariana Purba; Nur Ani
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 2 (2024): JITK Issue November 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i2.5798

Abstract

Deepfake images are often used to spread false information, manipulate public opinion, and harm individuals by creating fake content, making developing deepfake detection technology essential to mitigate these potential dangers. This study utilized the MobileNet architecture by applying regularization and activation function methods to improve detection accuracy. ReLU (Rectified Linear Unit) enhances the model's efficiency and ability to capture non-linear features, while Dropout and L2 regularization help reduce overfitting by penalizing large weights, thereby improving generalization. Based on experimental results, the MobileNet model optimized with ReLU and Dropout achieved an accuracy of 99.17% in the training phase, 85.34% in validation, and 70.60% in testing, whereas the MobileNet model optimized with ReLU and L2 showed lower accuracy in the training and validation phases compared to Dropout but achieved higher accuracy in testing at 72.18%. This study recommends MobileNet with ReLU and L2 due to its better generalization ability when testing data (resulting from reduced overfitting).
PENGGUNAAN SISTEM EVALUASI PEMBELAJARAN AL QUR’AN BERBASIS GOOGLE FORM PADA SISWA SMA DAARUL FIKRI Uswatun Hasanah; Vina Ayumi
JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Vol. 6 No. 1 (2026): April
Publisher : Lembaga Penelitian Pengabdian Masyarakat Penerbitan dan Percetakan Indonesian Scholar Khiar Wafi (LPPMPP IKHAFI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jpmtt.v6i1.641

Abstract

Evaluasi pembelajaran Al-Qur’an di tingkat sekolah menengah masih banyak dilakukan secara manual, sehingga menimbulkan kendala dalam rekapitulasi nilai, risiko kehilangan data, dan keterlambatan pelaporan perkembangan siswa. Digitalisasi sistem penilaian menjadi kebutuhan mendesak untuk meningkatkan efisiensi, akurasi, dan transparansi administrasi pembelajaran keagamaan. Kegiatan pengabdian ini bertujuan mengimplementasikan sistem evaluasi pembelajaran Al-Qur’an berbasis Google Form pada siswa SMA Daarul Fikri. Metode yang digunakan adalah pendekatan service learning, yang mengintegrasikan pemberian solusi teknologi dengan pemberdayaan mitra melalui pelatihan teknis. Tahapan kegiatan meliputi observasi sistem manual, identifikasi kebutuhan penilaian (makhraj, tajwid, dan kelancaran bacaan), perancangan instrumen evaluasi digital, integrasi Google Form dengan Google Sheets, serta sosialisasi dan pelatihan penggunaan sistem melalui perangkat mobile. Program dilaksanakan di Pesantren Terpadu Daarul Fikri, Cikarang Barat, Kabupaten Bekasi, dengan sasaran pengajar Al-Qur’an pada Sub-Unit Kurikulum SMA. Hasil pelatihan menunjukkan bahwa sistem digital mampu mempercepat rekapitulasi nilai secara otomatis dan real-time, meningkatkan keamanan penyimpanan data, serta mempermudah monitoring perkembangan siswa. Implementasi ini juga meningkatkan kompetensi digital guru dan mendukung modernisasi tata kelola evaluasi pembelajaran Al-Qur’an secara berkelanjutan
Co-Authors Mariana Purba Noprisson, Handrie Nur Ani Uswatun Hasanah