PENGENALAN ANGKA YANG TIDAK TERBACA DI LEMBAR C1 PEMILU MENGGUNAKAN METODE CO…

Penelitian ini berangkat dari rendahnya akurasi digitalisasi hasil Pemilu pada SIREKAP, khususnya dalam membaca angka tulisan tangan pada lembar C1. Variasi bentuk tulisan, kualitas citra rendah, tinta melebar, lipatan, dan orientasi angka yang tidak standar menyebabkan OCR konvensional sulit mengenali karakter secara konsisten. Untuk mengatasi masalah tersebut, penelitian ini mengembangkan mod…

PERBAIKAN KUALITAS CITRA BAWAH AIR MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (…

Underwater images suffer from degradation caused by light refraction and suspended particles, resulting in the appearance of noise, color casts, low contrast, and loss of fine details, hindering further vision tasks like object detection. This study implements Residual U-Net Model, incorporating Residual blocks onto each convolutional block in the encoder side to improve feature extraction and …

NERACA AIR LAHAN GAMBUT DI ARBORETUM FAKULTAS PERTANIAN UNIVERSITAS SRIWIJAYA

Peatlands play a crucial role in maintaining hydrological balance, storing carbon, and preventing both flooding and drought. However, changes in land use and improper water management can disrupt these ecological functions. This study was conducted to evaluate the water balance conditions in the peatland area of the Arboretum, Faculty of Agriculture, Sriwijaya University, with the specific aim …

PENGENALAN PRODUK E-COMMERCE BERBASIS GAMBAR SECARA OTOMATIS MENGGUNAKAN CONV…

E-commerce has become a key pillar of the digital economy, supported by broad internet access and modern technology. However, text-based searches often cause difficulties, especially for products with complex descriptions. This study develops an automatic image-based e-commerce product recognition system using Convolutional Neural Network (CNN) with the VGG16 architecture. The Fashion Product I…

KLASIFIKASI PEROKOK BERDASARKAN KARAKTERISTIK FISIK WAJAH MENGGUNAKAN CONVOLU…

Indonesia has a high prevalence of active smokers, reaching 70.6% among adult males in 2019. Smoking is known to cause various physical changes in facial skin, such as accelerated aging and wrinkles. This research aims to develop and test an automated system for classifying smokers based on facial physical characteristics using a deep learning approach. The method used is Transfer Learning, uti…

KLASIFIKASI JENIS BUNGA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

ATechnological advances drive the need for accurate automatic classification systems, such as in flower type identification, which is still often done manually. This study aims to measure the performance of the DenseNet201 architecture in classifying five types of flowers (Daisy, Dandelion, Rose, Sunflower, and Tulip) using a Convolutional Neural Network (CNN). The model was developed with a fu…

SIMULASI DETEKSI PELANGGARAN PENGGUNAAN HELM DAN KECEPATAN KENDARAAN MENGGUNA…

This research will focus on developing and testing a helmet violation and vehicle speed detection system based on the YOLO algorithm and classification using a Convolutional Neural Network (CNN). The purpose of writing this thesis is to implement the YOLOv8 algorithm for Detecting Helmet Violations and Vehicle Speed, calculating the accuracy level of the detection system using You Only Look Onc…

KLASIFIKASI KUALITAS BIJI KOPI MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NET…

Kopi merupakan salah satu komoditas unggulan Indonesia dengan nilai ekonomi yang tinggi. Penentuan kualitas biji kopi secara konvensional masih dilakukan secara manual oleh tenaga ahli, yang memerlukan waktu cukup lama dan berpotensi menimbulkan subjektivitas. Penelitian ini bertujuan untuk mengklasifikasikan kualitas biji kopi menggunakan algoritma Convolutional Neural Network (CNN) dengan ars…

KLASIFIKASI EMOSI MANUSIA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATAS…

Advances in signal processing technology and machine learning have created opportunities to leverage electroencephalogram (EEG) signals for more advanced human emotion recognition. This study aims to develop a human emotion classification model based on a Convolutional Neural Network (CNN) using the SEED-IV dataset, focusing on four emotion classes: happy, sad, fear, and neutral. The data consi…

KLASIFIKASI SERANGAN DDOS PADA DATASET CICDDOS2019 MENGGUNAKAN METODE CNN LON…

Denial of Service (DoS) is one of the popular cyber attacks targeting websites of well-known organizations and has the potential to have high economic and time costs. One of the most common types of DoS is the Distributed Denial-of-Service (DDoS) attack which aims to bring down the target service using various distributed resources. In an effort to handle Distributed Denial-of-Service (DDoS) at…

DEEP LEARNING menggunakan Convolutional Neural Network: Teori dan Aplikasi

Edition

-

ISBN/ISSN

978-602-462-446-0

Collation

x, 79 hlm.; tab.; 23 cm.

Series Title

-

Call Number

004.6 Set d

KLASIFIKASI SPESIES BURUNG MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

Indonesia, with its high biodiversity, is home to 1,539 bird species, some of which have morphological similarities that make manual identification challenging.This research aims to develop a bird species classification model in Indonesia using a Convolutional Neural Network (CNN) with the EfficientNet-B0 architecture to improve identification accuracy and speed. The model was trained using 10 …

KLASIFIKASI PENYAKIT STROKE DENGAN CONVOLUTIONAL NEURAL NETWORK (CNN) DAN MET…

Stroke is a disease in which the sufferer experiences bleeding or blockage of the brain arteries. The focus of this research is the use of Convolutional Neural Network (CNN) method in stroke disease classification and Explainable Artificial Intelligence (XAI) method as an approach to understand more deeply the decision-making process used by the CNN model. There are 3 models used by OzNet, ResN…

SEGMENTASI PEMBULUH DARAH PADA CITRA RETINA MENGGUNAKAN METODE CONVOLUTIONAL …

The U-Net architecture has a fairly deep network. The addition of layers in the U-Net architecture network can increase the complexity of the U-Net network which can affect the training time to be longer and parameter enlargement. This study modifies U-Net by reducing the complexity of U-Net by removing the bridge part of U-Net. The removal of the bridge in U-Net is known as V-Net architecture.…

SEGMENTASI PEMBULUH DARAH RETINA PADA PENYAKIT DIABETIC RETINOPATHY MENGGUNAK…

The retina is a very crucial organ in the human eye. The retina has a blood vessel section which in every human has a different form of blood vessels. Early detection of retinal disease can be done through sections of the retinal blood vessels. In order to facilitate the medical world in detecting diabetic retinopathy on the retina, a retinal image segmentation study was carried out in order to…

KLASIFIKASI SERANGAN BRUTE FORCE MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETW…

Brute Force is a password cracking attack against a computer security system. In launching the attack, the perpetrator uses a trial-and-error method by trying all password combinations in order to pass the authentication process. Actually, brute force is an old and simple attack method, but this type of cybercrime has a fairly high success rate and is considered very effective. That is why this…

PERBAIKAN KUALITAS CITRA LOW-LIGHT PADA FETAL ECHOCARDIOGRAPHY MENGGUNAKAN ME…

Images with low contrast (dark) and images that have unclear objects make objects in the image difficult to identify either systemically or by observers. Nowadays, almost everyone has an interest in capturing images every day using various digital devices. The quality and resolution of the captured images are important. When one captures images in low-light conditions, the images often experien…

METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SEGMENTASI OPTIK DISK PADA CI…

The retina is one of the most important parts of the eye. One part of the retina is the optic disc. The optic disc is the starting point of the optic nerve, where the optics meet and relay information to the center and carry more than one million neurons from the eye to brain. One way to simplify the image structure is by segmenting it. Optic disk segmentation, the outhor uses the Convolutional…

SEGMENTASI NUKLEUS KANKER SERVIKS PADA CITRA PAP SMEAR DENGAN MENGGUNAKAN U-N…

Pap smear image from Zenodo dataset consists of nucleus and cytoplasm. The nucleus is the most important element in the cell and undergoes significant changes in the event of cervical cancer. To prevent cervical cancer in women, early detection of nucleus abnormalities can be done, one of which is by separating the nucleus and non-nucleus in the image. To get the features of the nucleus, a segm…

PENGARUH BOBOT PADA DEEP CONVOLUTIONAL NEURAL NETWORK DENGAN SUPERVISED LEARN…

2048 is a puzzle game that is played by sliding the tiles in a 4 x 4 board. The value of tiles of the board was 2n, i.e (2,4,6,16,…,32768). Every tiles can be slide into four directions (up, right, down or left), which every move bring out a new random tiles (between 2 or 4) at a random free space in the board. Deep Convolutional Neural Network (DCNN) with Supervised Learning has been used to…

DETEKSI DEFECT SEPTUM JANTUNG JANIN BERBASIS CITRA 2 DIMENSI MENGGUNAKAN CONV…

Congenital heart disease is a common disease that can be life-threatening. CHD has an important role in knowing the early diagnosis of the heart, especially the fetus. Medical image analysis is one of the topics that can support the diagnosis process, especially the occurrence of septal defects. The image analysis process can be done by segmenting, detecting, and classifying it. This is the mai…