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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Innovation in Education Research
Santoso, Andri
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Computer Science & IT Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Evaluasi Performasi Ruang Warna pada Klasifikasi Diabetic Retinophaty Menggunakan Convolution Neural Network Dewi, Candra; Santoso, Andri; Indriati, Indriati; Dewi, Nadia Artha; Arbawa, Yoke Kusuma
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 3: Juni 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021834459

Abstract

Semakin meningkatnya jumlah penderita diabetes menjadi salah satu faktor penyebab semakin tingginya penderita penyakit diabetic retinophaty. Salah satu citra yang digunakan oleh dokter mata untuk mengidentifikasi diabetic retinophaty adalah foto retina. Dalam penelitian ini dilakukan pengenalan penyakit diabetic retinophaty secara otomatis menggunakan citra fundus retina dan algoritme Convolutional Neural Network (CNN) yang merupakan variasi dari algoritme Deep Learning. Kendala yang ditemukan dalam proses pengenalan adalah warna retina yang cenderung merah kekuningan sehingga ruang warna RGB tidak menghasilkan akurasi yang optimal. Oleh karena itu, dalam penelitian ini dilakukan pengujian pada berbagai ruang warna untuk mendapatkan hasil yang lebih baik. Dari hasil uji coba menggunakan 1000 data pada ruang warna RGB, HSI, YUV dan L*a*b* memberikan hasil yang kurang optimal pada data seimbang dimana akurasi terbaik masih dibawah 50%. Namun pada data tidak seimbang menghasilkan akurasi yang cukup tinggi yaitu 83,53% pada ruang warna YUV dengan pengujian pada data latih dan akurasi 74,40% dengan data uji pada semua ruang warna. AbstractIncreasing the number of people with diabetes is one of the factors causing the high number of people with diabetic retinopathy. One of the images used by ophthalmologists to identify diabetic retinopathy is a retinal photo. In this research, the identification of diabetic retinopathy is done automatically using retinal fundus images and the Convolutional Neural Network (CNN) algorithm, which is a variation of the Deep Learning algorithm. The obstacle found in the recognition process is the color of the retina which tends to be yellowish red so that the RGB color space does not produce optimal accuracy. Therefore, in this research, various color spaces were tested to get better results. From the results of trials using 1000 images data in the color space of RGB, HSI, YUV and L * a * b * give suboptimal results on balanced data where the best accuracy is still below 50%. However, the unbalanced data gives a fairly high accuracy of 83.53% with training data on the YUV color space and 74,40% with testing data on all color spaces.
Pembelajaran Berbasis Permainan Tradisional untuk Mengembangkan Fisik Motorik Anak Usia Dini Santoso, Andri; Najamuddin, Najamuddin; Tiatahulhusna, Sofa; Hayati, Nurul; Mizati, Kholisatul Husna; Sholihah, Zurriyatun
Indonesian Journal of Innovation in Education Research Vol. 2 No. 1 (2026): January
Publisher : Yayasan Arfah Bin Haji Muhammad Saleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63980/ijier.v2i1.161

Abstract

Children have a strong connection with various forms of play. In daily life, both traditional and modern games are always part of their activities. Play is considered essential because it serves as a medium to support physical and motor development in Early Childhood. Today, the modern games favored by children in urban areas tend to stimulate cognitive abilities more than motor skills. Therefore, parents living in urban settings are encouraged to introduce games that can strengthen children's muscle development, one of which is through traditional games. Unfortunately, traditional games are increasingly marginalized because they are viewed as outdated and physically demanding. In fact, when examined more closely, various types of traditional games offer numerous benefits, including: (1) developing healthy, fit, strong, and competitive physical abilities; (2) fostering mental aspects such as sportsmanship, tolerance, discipline, and democratic attitudes; (3) building moral character that is sensitive, honest, and sincere; and (4) enhancing social abilities such as competitiveness, cooperation, discipline, friendliness, and national awareness.
Co-Authors Arbawa, Yoke Kusuma Candra Dewi Indriati Indriati Mizati, Kholisatul Husna Nadia Artha Dewi Najamuddin Najamuddin, Najamuddin NURUL HAYATI Sholihah, Zurriyatun Tiatahulhusna, Sofa