Article Per Year (5 Year)
p-Index From 2021 - 2026
1.978
P-Index
This Author published in this journals
All Journal The Journal of Experimental Life Sciences (JELS) CAUCHY: Jurnal Matematika Murni dan Aplikasi Telematika : Jurnal Informatika dan Teknologi Informasi Journal of Innovation and Applied Technology Natural B Prosiding Seminar Nasional Teknoka BAREKENG: Jurnal Ilmu Matematika dan Terapan Agrisocionomics: Jurnal Sosial Ekonomi Pertanian Community Service Journal of Indonesia COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat DIDAKTIKA
Indah Yanti
Jurusan Matematika Fakultas MIPA Universitas Brawijaya Jalan Veteran Malang 65145
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Hybrid VGG16–LSTM Classification of Microscopic Bacterial Images for Environmental Microbiology Screening Yanti, Indah; Marjono, Marjono; Antariksa, Antariksa; Kurniawan, Andi; Anam, Syaiful; Bukhori, Hilmi Aziz
The Journal of Experimental Life Science Vol. 16 No. 2 (2026)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2026.016.02.02

Abstract

While conventional culture-based, biochemical, and molecular identification methods remain fundamental in microbiology, computational image analysis can serve as an exploratory, supplementary tool for studying bacterial morphology. This proof-of-concept study evaluates a hybrid VGG16-LSTM model for microscopic bacterial image classification. This study utilized a small subset of the DIBaS dataset consisting of six bacterial classes: Acinetobacter baumannii, Escherichia coli, Lactobacillus plantarum, Micrococcus spp., Propionibacterium acnes, and Pseudomonas aeruginosa. The total dataset size is highly constrained at 124 images, with a correspondingly small number of images per class ranging from 20 to 23. The dataset was divided into training, validation, and testing subsets in a 70:20:10 ratio. All microscopic images were resized to 224 × 224 pixels, normalized, and dynamically augmented during training to improve data variability under these limited-sample conditions. A pre-trained VGG16 network was employed to extract spatial image features, and the final convolutional feature map was reshaped into a spatial sequence and processed using an LSTM layer for further feature learning. Three optimization algorithms, namely Adam, RMSprop, and stochastic gradient descent, were compared. Among them, the RMSprop-optimized model exhibited the highest metrics after 50 epochs, achieving 92.86% accuracy, 95.24% precision, 92.86% recall, and a 92.38% F1-score; however, these performance indicators must be interpreted with caution as they are based on a severely limited test set (approximately 12 images). Some misclassifications occurred between P. aeruginosa and E. coli, which may be attributed to their shared gram-negative rod-shaped morphology. This finding highlights the inherent biological challenge of distinguishing visually similar bacterial species from microscopic image analysis alone, underscoring that such models remain strictly experimental and are not suited for clinical-grade diagnosis or field-ready environmental screening.
Co-Authors Achsin, Muhaimin Zulhair Agus Widodo Anam, Syaiful Andi Kurniawan Antariksa Sudikno Ashari, Fadhil Muhamad Aziz Bukhori, Hilmi Bukhori, Hilmi Aziz Corina Karim, Ari Andari Dwi Mifta Mahanani Dwi Mifta Mahanani, Dwi Mifta Fery Widhiatmoko Fitriah, Zuraidah Gunawan, Fahdynia Karnira Gustiningsih Hapsani, Anggi Habibah, Ummu Hidayat, Noor I Gusti Bagus Indrajaya Linda Tri Antika, Linda Tri Marjono Marjono Maulana, Avin Mochamad Hakim Akbar Assidiq Maulana Mochamad Hakim Akbar Assidiq Maulana Mohamad Handri Tuloli Noor Hidayat, Noor Parmawati S.P., M.E., Rita Parmawati, Rita Putra, M. Rafael Andika Rahmawati, Nadhea Oktaviantina Ramadhani, Ayu Winna Risvita, Wuwun Syaiful Anam Wuryansari Muharini K. ZURAIDAH FITRIAH