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Menampilkan 1–8 dari 8 artikel
Penerapan Metode Segmentasi Warna HSV untuk Deteksi Objek Berbasis Warna pada Citra Digital
Rizka Rizka
; Nasution, Salsabila
; Aulia, Fatwa
; Supiyandi Supiyandi
Router : Jurnal Teknik Informatika dan Terapan
Vol 3
, No 4
(2025)
This study discusses the application of the HSV color segmentation method for color-based object detection in digital images. The data used consist of digital images in JPG, PNG, or WebP format containing various colored objects, including red tomatoes, yellow bananas, green apples, orange oranges, purple akebia, brown sapodilla, and blue blueberries. The research process involves converting images from BGR to HSV, determining HSV ranges for each color, creating masks, performing segmentation, a...
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Klasifikasi Bobot Telur Ayam Ras menggunakan Visi Komputer dan Segmentasi Citra
Supiyandi Supiyandi
; Warda Hamidah
; Nazwa Alya Faradita
; Arizka Anggraini
; Adisty Maysandra
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 3
, No 1
(2024)
This study aims to classify chicken eggs based on their physical size using the concept of computer vision and image segmentation techniques. Compared to the standard methods that have been used so far, this alternative technology is expected to help standardize measurements, cost efficiency, and work effectiveness. In this study, the classification of chicken eggs was carried out using image segmentation and regression analysis. Thus, it is expected that the classification of chicken eggs will...
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Implementasi Algoritma OCR (Optical Character Recognition) untuk Ekstraksi Informasi dari Citra Struk Transaksi Keuangan
Latifa Khoirani
; Rino Ariansyah
; Supiyandi Supiyandi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 6
(2024)
This research aims to automate the process of extracting information from financial transaction receipts using Optical Character Recognition (OCR) algorithm. The OCR algorithm is used to recognize characters from digital images of transaction receipts so that information such as date, transaction amount, and other details can be accurately identified. By applying image processing methods, this research successfully demonstrates the effectiveness of the OCR system in overcoming challenges such as...
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Penggunaan Visi Komputer untuk Mengidentifiksi Jenis Buah dari Gambar
Supiyandi Supiyandi
; Rafif Rasendriya
Router : Jurnal Teknik Informatika dan Terapan
Vol 2
, No 4
(2024)
Computer vision technology has advanced rapidly and made significant contributions across various fields, including object identification in images. This study aims to develop a computer vision-based system to identify fruit types from images. A machine learning model is applied using a dataset of fruit images to train the system for accurate fruit recognition. The primary processes include data acquisition, image preprocessing, feature extraction, model training, and performance evaluation. The...
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Deteksi Wajah dalam Foto Menggunakan Teknologi Visi Komputer
Supiyandi Supiyandi
; Tegar Ardiansyah
; Sri Putri Balqis
; Jundi Haqqoni
; Salsa Nabila Iskandar
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 6
(2024)
This study discusses the implementation of computer vision technology for face detection in photos using two sample images with variations in lighting and face pose. The developed system combines the Viola-Jones algorithm and Convolutional Neural Networks (CNN) to enhance resilience against lighting and face orientation variations. Experimental results show high accuracy even with only two sample images. This research also develops preprocessing techniques to handle extreme lighting conditions a...
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Aplikasi Pengolahan Citra Untuk Peningkatan Deteksi Tepi Melalui Segmentasi Citra
Latifa Khoirani
; Rino Ariansyah
; Supiyandi Supiyandi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 3
(2024)
An important digital image processing is image segmentation, which separates objects from the background for further analysis. One segmentation technique is edge detection, which looks for boundaries between areas of different brightness. This article compares four edge detection methods: Roberts, Prewitt, Sobel, and Canny. The results show that, despite requiring more complex computations, Canny's method produces the sharpest and best connected edges; Sobel and Prewitt's method, on the other ha...
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Pengolahan Citra Huruf Hijaiyah Menggunakan Algoritma Support Vector Machine
Lisa Amelia Putri
; Andriani Sitorus
; Nurul Fitriah
; Havni Virul
; Syawaliah Putri Rangkuti
; Supiyandi Supiyandi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 2
, No 3
(2024)
Hijaiyah letters are the alphabet used in Arabic and the Koran. Automatic recognition of hijaiyah letters has many benefits, especially in the fields of education and learning Arabic and the Koran. This research aims to classify hijaiyah letter recognition using image processing techniques and the Support Vector Machine (SVM) algorithm. We collected a dataset of images of 5 hijaiyah letters with a total of 400 images obtained from Google and also Iqro'. The train:test ratio is 8:2. Experim...
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Deteksi Tepi Sederhana Pada Citra Menggunakan Operator Sobel
Supiyandi Supiyandi
; Trisatin Panggabean
; Nuzul Ramadhan
; Sri Ratna Dewi
; Salsabila Yusra
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 3
(2024)
implemented and evaluated the edge detection method using the Sobel Operator, which calculates the gradient of image intensity through two convoluted kernels for horizontal (Gx) and vertical directions. (Gy). The magnitudo gradient is obtained from the combination of both such directional gradients to represent the edge force on each pixel. The main steps include image pre-processing, the application of the Sobel kernel, the calculation of magnitudo gradients, and the filtering of results to ext...
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