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Journal : bigint computing journal

Performance Evaluation of BPCS Steganography for Identity Data Embedding in Academic Certificate Images Suhardi Suhardi; Abdul Halim Hasugian
Bigint Computing Journal Vol 4 No 2 (2026)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v4i2.1850

Abstract

Digital academic certificates require protection against unauthorized manipulation while preserving their visual appearance. This study evaluates Bit Plane Complexity Segmentation (BPCS) as a covert identity-data embedding layer for certificate images. The MATLAB implementation converts Pure Binary Code to Canonical Gray Code, partitions bit-planes into 8 × 8 blocks, and embeds payloads in regions whose complexity exceeds a selected threshold. Performance was assessed through threshold sensitivity, payload scaling, grayscale and RGB comparison, a 40,000-bit large-payload feasibility test, consistency across five genuine certificate images, and robustness under common image manipulations. Under pristine lossless conditions, the tested payloads were recovered exactly and stego-image quality remained high, with PSNR values from 68.53 to 84.49 dB. On five genuine certificates, mean PSNR was 83.46 dB with a standard deviation of 0.63 dB. Embedding capacity declined sharply when the complexity threshold exceeded 0.5, while RGB offered additional theoretical capacity. However, resizing, cropping, rotation, noise, blur, and brightness changes produced substantial bit errors or extraction failure. The results therefore support BPCS as a high-capacity, low-distortion data-hiding layer for controlled lossless certificate workflows, but not as a standalone authentication or manipulation-robust security mechanism.
OCR-LSTM-Based Detection of Pork-Derived Non-Halal Ingredients from Food Labels Muhammad Siddik Hasibuan; Suhardi Suhardi; Bagus Ageng Alfahri
Bigint Computing Journal Vol 4 No 2 (2026)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v4i2.1856

Abstract

Packaged food labels may contain technical and multilingual ingredient terms that complicate preliminary screening for pork-derived non-halal substances. This study develops a web-based pipeline that integrates optical character recognition (OCR), automatic translation, and Long Short-Term Memory (LSTM) text classification. A public dataset of 528,092 labeled ingredient records, comprising 291,920 halal and 236,172 pork-related non-halal records, was used for model development. After text normalization, tokenization, and sequence padding, the data were divided into training, validation, and testing subsets using an 80:10:10 ratio. The final test set contained 52,810 records. The confusion matrix contained 29,182 true negatives, 12 false positives, 41 false negatives, and 23,575 true positives, corresponding to 99.90% accuracy, 99.95% precision, 99.83% recall, and a 99.89% F1-score. The web implementation accepts label images, extracts text, translates non-English content, and applies the trained classifier. The reported metrics evaluate the text classifier rather than the complete OCR-to-classification pipeline; therefore, the system should be treated as a preliminary screening tool and not as a substitute for formal halal certification.
Co-Authors Abdul Halim Hasugian Achyar Zein Aditama, Yuda Afiksih, Mufliha Ahmad Fariz Fuady Aidil Halim Lubis Aidil Halim Lubis Aisyiyah, Siti R Nur Ali Darta Alviona Marsya Amelia Anggy Dwi Anggreny Annisa Aprilia Anwar, Mufti Husain Armansyah Armansyah Armansyah Aznawi, Nasrul Mahruf Bagus Ageng Alfahri Daulay, Darisma Dewi Aulia Tanjung Diah Ayu Anggraini Dwiky Oldi Amsyah Ega Yolanda Endah Avilia Chandra Ermaliza Erwin Nasution Fachroza, Siti Dian Farentika, Yosi Filza Salsabila, Putri Fitri, Wan Ilia Fitriani Fitriani Fitriani Fitriani Frianda Gultom, Irsan Gina Fadhila Harahap, Hotma Rizki Harahap, Shopiah Heri Santoso Ibnu Rusydi Ichsan Rafisyah Ilham Hafiz Satrio Ilka Zufria Indri Ayu Ningrum Iskandar, Nabila La Saufa Yardha Lailan Sofinah Harahap Latifa Khoirani M Irsyad Ramadhan M. Fakhriza M. Ridwan Maghfira Mahfuzhah Rahma Kesuma Masliana Damanik Maulana, Rexa Mhd Angga Sabda Mhd Furqan Mhd Ikhsan Rifki Mhd. Furqan Miftah Hadi Surbakti Muhammad Faisal Siregar Muhammad Ikhsan Muhammad Luthfi Muhammad Siddik Hasibuan Namirah Yasmine Raudah Nazhifa Ahmad Fauzan Nela Meilani Nurhanifah Oktopanda Oktopanda Pramudya, Farhan Amar Puji Sari Ramadhan Rahmadani Nasution Rakhmat Kurniawan R Ramadhan, M Irsyad Rambe, Nia Sabrina Reza Ade Putra Ridho Pardomuan, Mohammad Rita Novita Sari Rita Novita Sari Ritonga, Dedek Juliani Ritonga, Tomi Rizki Hasibuan, Indra Shabahal Khair, Herla Siagian, Qori Azmi Ayasy Silva Ukhti Filla Siregar, Muhammad Faisal Siregar, Rahmat Abdillah Nur Siti Afifah Siregar Sri Wulan, Sri Sriani Sriani Sriani Surbakti, Miftah Hadi Tisna Handayani Wan Ilia Fitri Yusuf Ramadhan Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zalina Zakaria Zulham Zulham