Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Abdimasku : Jurnal Pengabdian Masyarakat
Ivan Putra Pratama
Jurusan Administrasi Publik, Fakultas Ilmu Administrasi, Universitas Brawijaya, Malang
Computer Science & IT Economics, Econometrics & Finance Health Professions Industrial & Manufacturing Engineering Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Face Recognition Using MTCNN Face Detection, ResNetV1 Feature Embeddings, and SVM Classification Pratama, Ivan Putra; Ningrum, Novita Kurnia
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11016

Abstract

Face recognition has become an essential component of modern security and authentication systems, yet its effectiveness is often challenged by limited datasets, class imbalance, variations in facial poses, lighting conditions, and image resolutions. This study proposes a face recognition pipeline that integrates Multi-task Cascaded Convolutional Networks (MTCNN) for face detection, Residual Network V1 (ResNetV1) for feature extraction, and Support Vector Machine (SVM) for classification. Unlike previous works that rely on large-scale datasets and end-to-end deep learning models, this study emphasizes the effectiveness of the pipeline under constrained data conditions, using 856 images across 191 classes with highly imbalanced distribution. Experimental results show that MTCNN successfully detected 97.1% of faces, while ResNetV1 produced 512-dimensional embeddings that formed well-separated clusters validated by clustering metrics (Silhouette Score = 0.578, Davies-Bouldin Index = 0.566). The SVM classifier achieved 92.9% accuracy, with macro-average precision, recall, and F1-scores of 0.89, 0.92, and 0.89 respectively, significantly outperforming a baseline k-Nearest Neighbor (k-NN) model that only reached 63.9% accuracy. These findings highlight the novelty of this study: demonstrating that a lightweight yet robust pipeline can deliver reliable recognition performance even in small, imbalanced datasets, making it suitable for real-world scenarios where large-scale training data are not available.
Sistem Penstabil Suhu Berbasis IoT dengan ESP32 dalam Proses Fermentasi Keju Cheddar di Desa Nogosaren Pratama, Ivan Putra; Akhyar, Muhammad Wildan; Prayogo, Sandi Yudha; Pramesti, Nadya Arum; Ningrum, Novita Kurnia
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 9, No 1 (2026): JANUARI 2026
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v9i1.3106

Abstract

Desa Nogosaren, Kecamatan Getasan, Kabupaten Semarang, merupakan sentra produksi susu sapi perah dengan hasil ±17.010 liter per hari. Namun, sebagian besar susu hanya dijual dalam bentuk mentah dengan harga murah, sehingga menimbulkan keterbatasan nilai tambah dan potensi kerugian akibat susu cepat basi. Salah satu upaya peningkatan nilai tambah adalah pengolahan susu menjadi keju. Proses fermentasi keju membutuhkan kestabilan suhu dalam rentang 20–25°C untuk menjaga kualitas dan konsistensi produk. Dalam penelitian ini dikembangkan sistem penstabil suhu berbasis Internet of Things (IoT) menggunakan mikrokontroler ESP32, sensor DHT22, relay, dan LCD untuk pemantauan suhu secara real-time. Hasil uji coba menunjukkan bahwa sistem dapat mengendalikan suhu sesuai batas yang ditentukan, dengan tingkat akurasi sensor cukup baik (error rata-rata 0,4–0,6 °C dibandingkan aplikasi HP). Sistem berhasil menyalakan dan mematikan penstabil suhu secara otomatis serta menampilkan data pada LCD dan platform IoT. Implementasi teknologi ini berpotensi membantu peternak dalam menjaga kualitas fermentasi keju, meningkatkan nilai tambah produk susu, dan memperkuat perekonomian lokal.
Co-Authors Akhyar, Muhammad Wildan Ningrum, Novita Kurnia Pramesti, Nadya Arum Prayogo, Sandi Yudha