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Klasifikasi Tingkat Keparahan Penyakit Diabetic Retinopathy menggunakan Convolutional Neural Network Ni Luh Wiwik Sri Rahayu Ginantra; Theresia Hendrawati; I Kadek Diksa Bayu Prasetya
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7432

Abstract

Diabetic Retinopathy is an eye condition in Diabetes sufferers that causes damage to the retina, which can result in permanent blindness if not treated properly. The initial stage of this disease is the widening of the blood vessels in the eye which, if left untreated, can cause the formation of new blood vessels which can cover the retina of the eye, thereby increasing the risk of vision loss. There are several classes of Diabetic Retinopathy disease; to determine the class you can use the Deep Learning method which can model various data such as images. The classification process is carried out by training a Convolutional Neural Network model on a disease image dataset taken from the Kaggel repository with a total of 5 classes. This research uses a Fine Tuning strategy and the EfficientNetB1 model to determine the performance of the CNN model in the Diabetic Retinopathy Classification process. Based on training results, the EfficientNetB1 model produces 92.51% accuracy in detecting Diabetic Retinopathy. These results show that the model can provide optimal results in the dataset training process.
Emotional Detection of Students During The Learning Process Using Yolo V8 Ni Luh Wiwik Sri Rahayu Ginantra; Suyud Setiawan Al Arif; Ni Wayan Jeri Kusuma Dewi
Jurnal Krisnadana Vol 5 No 2 (2026): Jurnal Krisnadana- January 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v5i2.1061

Abstract

This research develops an emotional detection system for students during learning using YOLOv8 model N and Computer Vision technology. The main objective measures accuracy of facial expression recognition across happy, sad (murung), neutral (normal), and confused classes while evaluating lighting and camera position impacts. Dataset of 1500 Kaggle images was labeled on Roboflow with augmentations including flip, crop, blur, and noise, then trained on Google Colab for 100 epochs using pre-trained YOLOv8n weights. Model validation employed confusion matrices, precision-recall curves, and real-time webcam testing on 10 students at 5-15 cm distances. Key findings show accuracies of 75% (happy), 62% (sad), 69% (neutral), and 33% (confused), averaging 59.75% under >39 lux frontal lighting. Optimal performance occurred at 0°-10° angles, but backlit conditions reduced efficacy by 25-35% due to shadow occlusion. The system enables real-time classroom monitoring with 4.2 ms inference latency, supporting cognitive engagement assessment despite bingung class limitations from dataset imbalance. Future improvements recommend expanded ambiguous samples and lighting augmentations.
Co-Authors Abdi Rahim Damanik Anandita, Ida Bagus Gede Aniek Suryanti Kusuma Ariana, Anak Agung Gede Bagus Asana, I Made Dwi Putra Atmaja, Ketut Jaya Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putri Wulandari Dewa Ayu Putri Wulandari Dewi, Ni Wayan Jeri Kusuma Dwipayana, Ida Bagus Rama Faisal Amir Gede Surya Mahendra GS , Achmad Daengs Hendrawati, Theresia I Gede Iwan Sudipa I Gede Rian Lanang Oka I Gusti Agung Indrawan I Gusti Ayu Agung Diatri Indradewi I Kadek Diksa Bayu Prasetya Ika Okta Kirana Ilham Tri Maulana Indra Pratistha Jasmir Krismentari, Ni Kadek Bumi Made Suci Ariantini Mahmuda Lailiya Meri Aryati, Ni Wayan Mhd Ali Hanafiah Ni Kadek Ariasih, Ni Kadek Ni Kadek Nita Noviani Pande Ni Ketut Utami Nilawati NI LUH PUTU MERY MARLINDA Ni Putu Adelia Indah Paramita Ni Putu Eka Swari Ni Putu Suci Meinarni Ni Wayan Eva Agustini Ni Wayan Jeri Kusuma Dewi Ni Wayan Jeri Kusuma Dewi Ni Wayan Suardiati Putri Ni Wayan Wardani Ni Wayan Wardani Ni Wayan Yeni Pratiwi Okprana, Harly Pande Putu Sukma Awantari Penanta, Aditya Pressa Persana Surya Saputra Putra, I Kadek Andika Putu Surya Wedra Lesmana Saiman, Clarita Mutiara Samsul Lutfi Sandi, Victor Ari Sandika, I Kadek Budi Sastaparamitha, Ni Nyoman Ayu J Silfia Andini Surya Hendraputra Sutarwiyasa, I Ketut Suyud Setiawan Al Arif Teuku Afriliansyah Theresia Hendrawati Toraja, Dewa Gede Victor Ari Sandi Wanto, Anjar Wardani, Ni Wayan Wayan Gede Suka Parwita Wayan Gede Suka Parwita Wayan Sauri Peradhayana Widiartha, I Komang Kurniawan Widiartha, Komang Kurniawan Wiguna, I Komang Arya Ganda Winatha, Komang Redy Wulandari, Dewa Ayu Putri