Lecturer Name:
Dr. Oky Dwi Nurhayati, S.T., M.T.
Study Program:
Lecturer Expertise:
Dr. Oky Dwi Nurhayati’s main expertise lies in computer engineering, with research focusing on digital image processing, digital signal processing, and artificial intelligence. Her studies extensively involve the application of deep learning and computer vision, such as medical image classification, parasitic worm egg detection using CNN models, real-time object detection using YOLO architectures, and image enhancement techniques including image dehazing.
She is also involved in the development of intelligent AI-based systems for various applications, including educational service chatbots and enterprise architecture–based information systems.
The applications of her expertise are implemented in healthcare, intelligent transportation systems, and digital transformation for education and government services.
Publications
Automated Classification of Parasitic Worm Eggs Based on Transfer Learning and Fine-Tuned CNN Models
Link: https://doi.org/10.14569/IJACSA.2025.0160513AI-Driven Chatbot Implementation for Enhancing Customer Service in Higher Education: A Case Study from Universitas Negeri Semarang
Link: http://www.jatit.org/volumes/Vol102No14/8Vol102No14.pdfA Novel YOLO-ARIA Approach for Real-Time Vehicle Detection and Classification in Urban Traffic
Link: https://doi.org/10.22266/ijies2024.0229.39Gaussian Filter-Based Dark Channel Prior for Image Dehazing Enhancement
Link: https://doi.org/10.11591/ijece.v14i5.pp5765-5778Governance in Samarinda City Using TOGAF (The Open Group Architecture Framework): Literature Review
Link: https://doi.org/10.55927/east.v8i6.1236Perancangan dan Implementasi Sistem Informasi Perpustakaan di Program Studi Teknik Lingkungan Fakultas Teknik Undip
Link: https://doi.org/10.14710/jtsiskom.2.4.2014.209-222KOMBINASI STEGANOGRAFI BIT MATCHING DAN KRIPTOGRAFI DES UNTUK PENGAMANAN DATA
Link: Not found on scholar.undip.ac.idInformation System Evaluation For Website Usability At The Higher Education
Link: Not found on scholar.undip.ac.idRaw Material Wood Inventory Monitoring With Rule Based Forward Chaining
Link: Not found on scholar.undip.ac.id