Claim Missing Document
Check
Articles

Found 34 Documents
Search

AI-Powered Face Mask Detection Utilizing MobileNetV2 for Health Monitoring Misinem Misinem; Eka Puji Agustini; Maria Ulfa
International Journal of Advances in Artificial Intelligence and Machine Learning Vol. 1 No. 1 (2024): International Journal of Advances in Artificial Intelligence and Machine Learni
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijaaiml.v1i1.286

Abstract

The COVID-19 pandemic has highlighted the critical need for face masks to prevent virus transmission. Ensuring consistent mask usage in crowded public spaces remains a challenge, especially with manual monitoring methods that are inefficient and prone to error. To address this, this research introduces a real-time face mask detection system leveraging MobileNet-V2, a lightweight and efficient deep learning model known for its high performance in image classification tasks. The system utilizes a dataset from Kaggle comprising 11,792 images, divided into training (10,000), validation (800), and testing (992) sets. MobileNet-V2 was fine-tuned for this task, using its inverted residual layers to extract features and enhance performance effectively. Data augmentation techniques were applied to improve the model’s ability to generalize across diverse scenarios. The MobileNet-V2 model achieved an impressive 98.69% accuracy on the testing dataset, demonstrating exceptional reliability in identifying individuals wearing masks versus those without. Standard evaluation metrics, including precision, recall, and a confusion matrix, confirmed its robustness. This system’s ability to operate in real-time makes it ideal for public health surveillance in environments such as airports, shopping malls, and public transport. The proposed face mask detection system is both accurate and scalable, offering an efficient solution for enforcing mask-wearing protocols in public spaces. The system’s integration of advanced deep learning techniques ensures its reliability in real-time monitoring, contributing to better public health management. Future work will focus on further optimizing the model and expanding its application to other health-related monitoring tasks, enhancing its value for public health surveillance.
SISTEM INFORMASI PENDAFTARAN SISWA BARU BERBASIS WEB MENGGUNAKAN METODE WEB ENGINEERING Mazida Khaeriyya Suryono; Maria Ulfa; Evi Yulianingsih; Muhammad Ariandi; Dinny Komalasari
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6753

Abstract

Perkembangan teknologi informasi mendorong digitalisasi proses administrasi, termasuk pendaftaran siswa baru. MI Islamiyah Perguruan masih menggunakan sistem pendaftaran berbasis kertas yang rentan terhadap kesalahan, kehilangan data, dan ketidakefisienan. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pendaftaran siswa baru berbasis web menggunakan metode Web Engineering. Metode pengembangan terdiri dari lima tahap: customer communication, planning, modeling, construction, dan delivery & feedback. Hasil penelitian berupa sistem yang memfasilitasi pendaftaran online, upload dokumen, verifikasi admin, dan pencetakan bukti pendaftaran. Sistem ini telah diuji menggunakan blackbox testing dan berjalan sesuai kebutuhan. Simpulan menunjukkan bahwa sistem yang dibangun mampu meningkatkan efisiensi dan akurasi proses pendaftaran. Disarankan untuk menambahkan fitur arsip data tahunan dan integrasi payment gateway pada pengembangan selanjutnya.
Perancangan Desain UI UX Aplikasi Pembelajaran Debat Bahasa Inggris Berbasis Website dengan Pendekatan Design Thinking di South Sumatra English Community Universitas Bina Darma Ahmad Dzulfaqqor Faishol; Maria Ulfa; Deni Erlansyah; Nia Oktaviani; Ilman Zuhri Yadi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6306

Abstract

Dengan meningkatnya penggunaan produk digital, perancangan desain User Interface (UI) dan User Experience (UX) yang sesuai menjadi faktor penting untuk memfasilitasi pengalaman pengguna yang memuaskan, terlebih pada media pembelajaran digital.  Pembelajaran melalui media digital seperti aplikasi berbasis website (web application) menjadi salah satu alternatif pembelajaran yang semakin marak digunakan. Hal ini sejalan dengan kemajuan teknologi dan bagaimana semakin banyak sektor yang terkomputerisasi, termasuk sektor pendidikan. Penelitian ini merespon kebutuhan akan akses belajar debat Bahasa Inggris di Unit Kegiatan Mahasiswa (UKM) South Sumatra English Community atau SSEC Universitas Bina Darma. Berawal dari sulitnya akses belajar debat melalui buku fisik dan file-file pdf yang tidak tergorganisir secara runtut dan rapi, penulis berinisiatif untuk menciptakan desain perancangan UI/UX untuk media pembelajaran debat Bahasa Inggris berbasis website agar materi dapat terarsip dengan baik disertai dengan akses yang mudah. Perancangan desain UI/UX menjadi faktor penting untuk keberhasilan suatu media pembelajaran yang akan dibuat mengingat pentingnya faktor kenyamanan end-user atau pengguna dalam menggunakan website. Perancangan desain akan berorientasi pada pendekatan Design Thinking, yaitu suatu metode perancangan yang menitikberatkan pada preferensi dan pemecahan masalah melalui perspektif pengguna. Hasil dari penelitian ini adalah setelah dilakukan pengujian pengguna (user testing) dengan perhitungan single ease question (SEQ), diperoleh skor keberhasilan sebesar 5,93 yang menunjukan hasil memuaskan dengan desain yang mudah digunakan.
Pengembangan dan Integrasi Sistem Otomasi Perpustakaan Digital Berbasis INLISLite untuk Meningkatan Layanan Informasi di SMA Methodist 3 Palembang Maria Ulfa; Ayu Andira; Evi Yulianingsih; Siti Sauda
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i3.4597

Abstract

The development of information technology in the digital era has influenced various aspects of life, including library services. Along with these technological advancements, libraries are required to develop technology-based services through the implementation of digital library automation systems such as INLISLite to improve the quality of information services.This research was conducted at the library of SMA Methodist 3 Palembang, which still used a manual system for managing borrowing, returning, searching, and cataloging books. As a result, delays and data recording errors frequently occurred. In addition, unstructured data storage made library management less efficient. Therefore, the development and integration of an INLISLite-based digital library automation system were carried out to assist in managing book collections, member data, borrowing and returning transactions, fines, and library reports in a more effective and structured manner.The benefit of this research is to support the creation of a library that continuously adapts to technological developments and provides better services to its users. This study employed the Research and Development (R&D) method, consisting of data collection, planning, development, testing, and product refinement stages. The results of this research are expected to improve the effectiveness, efficiency, and quality of information services in the school library