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Fanggidae, Adriana
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Computer Science & IT

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Deteksi Informasi Kadar Natrium pada Label Produk Kemasan Menggunakan FPN, Faster R-CNN, dan OCR Malelak, Ruvina Febrianti; Fanggidae, Adriana; Widiastuti, Tiwuk; Polly, Yulianto Triwahyuadi
Jurnal Buana Informatika Vol. 16 No. 2 (2025): Jurnal Buana Informatika, Volume 16, Nomor 02, Oktober 2025
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Informasi nilai gizi, khususnya kandungan natrium, berperan penting dalam mendorong masyarakat memilih makanan yang lebih sehat. Namun, kesadaran terhadap label gizi masih rendah sehingga sering diabaikan. Sistem otomatis dikembangkan untuk mendeteksi dan mengekstraksi informasi kadar natrium dari citra kemasan produk. Sistem menggunakan pendekatan deteksi objek berbasis Feature Pyramid Network (FPN) dan Faster R-CNN melalui framework Detectron2. Ekstraksi teks kadar natrium dilakukan menggunakan Tesseract OCR. Sebanyak 3.028 gambar digunakan dalam proses pelatihan, validasi, dan pengujian FPN. Pada tahap pelatihan diperoleh akurasi deteksi 98,90% (AP50) dan (AR) 85,00%. Sementara itu, pengujian OCR terhadap 400 gambar berbeda dari data pelatihan FPN, menghasilkan rata-rata akurasi ekstraksi teks 85,13%. Kesalahan pengenalan umumnya disebabkan kualitas citra rendah, seperti gambar blur, orientasi label miring, pantulan cahaya, atau teks terlalu tebal. Meskipun terdapat keterbatasan, sistem menunjukkan potensi kuat sebagai alat otomatis membaca informasi gizi, khususnya kandungan natrium, dengan catatan diperlukan penyempurnaan lebih lanjut agar konsisten di kondisi nyata.
STREAM CIPHER ALGORITHM FOR ENCRYPTING TEXT USING LOGISTIC MAP, AUTO PARAMETERS LINEAR CONGRUENTIAL GENERATOR (APLCG), AND GRAY CODE Fanggidae, Adriana; Polly, Yulianto Triwahyuadi; Sina, Derwin Rony; Letelay, Kornelis; Nabuasa, Yelly Yosiana; Boru, Meiton; Ledoh, Juan Rizky Mannuel
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1535

Abstract

One aspect frequently posing a challenge in cryptography pertains to the length of the secret key that users must remember. Achieving the requisite key length for cryptographic algorithms necessitates key padding. However, it is crucial to note that key padding is susceptible to predictable patterns. Both the Linear Congruential Generator (LCG) and gray code are algorithms employed to generate sequences of padded key bits. Regrettably, LCG requires the determination of two pre-defined parameters, whereas the Auto Parameters Linear Congruential Generator (APLCG) automatically establishes these parameters. These parameters play a pivotal role in generating unique sequences of random integers. To fortify key security, the generation of new keys is performed using a modified logistic map, an enhancement of the standard logistic map that exhibits random behavior consistently. Stream cipher, an encryption algorithm, necessitates a continuous key stream matching the bit or byte length of the message. We conducted experiments on stream cipher algorithms employing key streams generated from APLCG, gray code, and modified logistic map. Twenty text documents were utilized as test samples. The outcomes indicate that stream ciphers employing APLCG, gray code, and modified logistic map demonstrate high-security performance based on the statistical analysis conducted.
Co-Authors Boru, Meiton Derwin Rony Sina, Derwin Juan Rizky Mannuel Ledoh Kornelis Letelay Malelak, Ruvina Febrianti Nabuasa, Yelly Yosiana Polly, Yulianto Triwahyuadi Tiwuk Widiastuti