PENGARUH KONTEN INSTAGRAM DAN BRAND IMAGE @LEAD.WITHUNSRI PADA PROGRAM OUTGOI…

The rapid development of social media, particularly Instagram, has become an important communication platform for engaging young people and promoting social programs. Instagram is widely used not only to disseminate information but also to build brand image that can influence participation interest. However, variations in youth participation interest remain evident despite similar content expos…

BILATERAL FILTERING, UNSHARP MASKING, DAN PIX2PIX GAN SEBAGAI UPAYA PENINGKAT…

Analysis of abnormalities in retinal blood vessels through deep learning methods is constrained by limited medical data, making augmentation techniques necessary to prevent overfitting. This study proposes the use of Pix2Pix Generative Adversarial Network (GAN) combined with transformation augmentation to increase the number of retinal images and generate synthetic images based on the distribut…

KLASIFIKASI PNEUMONIA MELALUI CITRA CHEST X-RAY MENGGUNAKAN CONVOLUTIONAL NEU…

Pneumonia is a lung infection with a high mortality rate, ranking as the fourth leading cause of global deaths in 2020 according to the WHO. In this study, Chest X-Ray images were classified into pneumonia and normal categories using the Convolutional Neural Network (CNN) method with EfficientNetV2-B0, EfficientNetV2-B1, EfficientNetV2-B2, and EfficientNetV2-B3 architectures, which were subsequ…

INSTANCE SEGMENTATION PADA CITRA MIKROSKOPIS TELUR CACING PARASIT MENGGUNAKAN…

Helminthiasis is classified by the World Health Organization (WHO) as one of the Neglected Tropical Diseases (NTDs) due to its wide distribution, yet it often remains a low priority in global health agendas. Control efforts for helminthiasis are generally carried out through manual microscopic examination. However, this method requires specialized expertise, has technical limitations such as lo…

PENERAPAN HYBRID CNN DAN VISION TRANSFORMER UNTUK KLASIFIKASI PENYAKIT MATA P…

Retinal diseases require early detection to improve the effectiveness of medical treatment. This study aims to classify retinal diseases based on fundus images using a hybrid architecture of CNN and Transformer Encoder based on Vision Transformer. The research stages include preparing and dividing the dataset into training, validation, and test data, as well as preprocessing in the form of resi…

KLASIFIKASI PNEUMONIA DAN NORMAL BERDASARKAN CITRA X-RAY PARU-PARU MENGGUNAKA…

This study aims to develop a pneumonia classification model on chest X-ray images using a Convolutional Neural Network with the DenseNet-121 architecture for early detection of lung diseases. The dataset consists of 5,856 images divided into training, validation, and testing sets. The research stages include preprocessing, image augmentation, model training using a progressive fine-tuning strat…

PERBAIKAN KUALITAS CITRA DENGAN NONLINEAR ACTIVATION FREE NETWORK UNTUK KLASI…

Alzheimer’s disease is a progressive neurodegenerative disorder that is the leading cause of dementia. The use of Magnetic Resonance Imaging (MRI) in ResNet18-based classification can be hindered by the presence of noise, particularly Rician noise, which obscures important structural details and reduces model performance. This study employs the Nonlinear Activation Free Network (NAFNet) to im…

PENGGUNAAN CONDITIONAL GENERATIVE ADVERSARIAL NETWORK (CGAN) UNTUK PENINGKATA…

This study implements a Conditional Generative Adversarial Network (CGAN) to enhance the contrast of fetal abdominal ultrasound images. The novelty lies in increasing the Reconstruction Loss weight (λL1) to 1000 to ensure structural stability in medical data. Using U-Net and PatchGAN architectures, the model was trained against CLAHE targets. The results demonstrate significant enhancement wit…

DETEKSI DAN PENGENALAN TEKS PADA TABEL NILAI GIZI MENGGUNAKAN PADDLEOCR DAN T…

Nutrition facts tables on food packaging are a crucial source of information for consumers, but manual data extraction is often inefficient and prone to errors due to varied table structures and small text sizes. This research proposes an automated system for text detection and recognition in nutrition tables by integrating two advanced deep learning models: PaddleOCR and TrOCR. PaddleOCR is em…

KLASIFIKASI JENIS BAKTERI CITRA MIKROSKOPIS MENGGUNAKAN CONVOLUTIONAL NEURAL …

Identifying bacteria traditionally takes 24–72 hours and is prone to human error. With bacterial infections and antimicrobial resistance causing over 1 million deaths annually, faster and more accurate methods are urgently needed. This study compares two deep learning models, ResNet-50 (a classic CNN) and ConvNeXt-Tiny (a modern CNN) for classifying microscopic bacteria images using the DIBaS…

PERBAIKAN KUALITAS CITRA ENDOSKOPI MENGGUNAKAN DISCRETE WAVELET TRANSFORM DAN…

Colorectal cancer is a colon cancer characterized by the presence of colorectal polyps. The detection of colorectal polyps can be performed automatically using deep learning methods based on Convolutional Neural Networks (CNN), such as You Only Look Once (YOLO). YOLOv8 provides multi-task capabilities, including simultaneous object detection and segmentation, known as instant segmentation throu…

SEGMENTASI TUMOR HATI PADA CITRA HASIL CT SCAN MENGGUNAKAN MODIFIKASI ARSITEK…

Liver tumors are abnormal tissue growths in the liver that can be benign or malignant. Separating tumor tissue from healthy tissue in CT scan images can be done using segmentation techniques with Convolutional Neural Networks (CNN). The CNN architecture that can be used in image segmentation is U-Net. The encoder extracts important features from the image, but this process can cause the loss of…

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 …

UPAYA PEMULIHAN CITRA RS MUHAMMADIYAH PALEMBANG PADA KASUS KELALAIAN PERAWAT

Citra merupakan suatu hal yang sangat penting bagi sebuah lembaga Rumah Sakit sebagai institusi pelayanan kesehatan. Kelalaian yang dilakukan oleh oknum perawat di Rumah Sakit Muhammadiyah Palembang mengakibatkan rusaknya citra yang telah dibangun. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana upaya pemulihan citra yang dilakukan RS Muhammadiyah Palembang terkait kasus kelalaian …

PERBANDINGAN ARSITEKTUR U-NET++ DAN U-NET UNTUK SEGMENTASI PADA CITRA X-RAY DADA

Chest X-ray (CXR) is a vital diagnostic modality for detecting lung diseases, yet manual interpretation is often hindered by low contrast and overlapping anatomical structures. Automatic lung segmentation serves as a crucial pre-processing step in Computer-Aided Diagnosis (CAD) systems. The standard U-Net architecture, despite its popularity, suffers from a "semantic gap" between encoder and de…

KLASIFIKASI CITRA UNTUK MENDETEKSI KELUMPUHAN WAJAH MENGGUNAKAN ARSITEKTUR VG…

Facial paralysis is a condition characterized by the loss of motor function in the facial muscles and requires accurate clinical evaluation. Conventional visual assessments are often subjective, creating variability in diagnosis; therefore, a more consistent image-based assistance system is needed. This study develops an automated classification system for facial paralysis severity using the VG…

KLASIFIKASI CITRA MAKANAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DENGAN ARI…

This study develops a food image classification system for Indonesian traditional dishes based on Convolutional Neural Network to support the digitalization of internal processes in the culinary sector, particularly for automatic food identification and menu management. The model is built using the EfficientNet family and evaluated on a dataset consisting of 30 classes of Indonesian traditional…

PERBANDINGAN VGG19 DAN RESNET50V2 UNTUK KLASIFIKASI PNEUMONIA PADA CITRA CHES…

Pneumonia is a lung infection caused by various pathogens and poses a global health threat with a high mortality rate. The World Health Organization (WHO) reports that pneumonia caused approximately 740,180 deaths among children under five years of age in 2019, making early detection essential. Pneumonia is generally diagnosed using chest X-ray images because they are inexpensive, easily access…

CITRA PEREMPUAN DALAM NOVEL LAYANGAN PUTUS KARYA MOMMY ASF DAN IMPLIKASINYA D…

This research aims to describe the image of women in the novel Layangan Putus by Mommy ASF and find out the implications of the research results on the image of women in the female characters in the novel Layangan Putus by Mommy ASF for literary learning. The method used is descriptive qualitative with a feminist literary criticism approach. The object of research is the image of the woman in t…

CITRA PEREMPUAN TOKOH UTAMA DALAM NOVEL AKU LUPA BAHWA AKU PEREMPUAN KARYA IH…

This research aims to describe the image of the female character Suad and find out the implications of the research results on the image of the female character Suad in the novel Aku Lupa Bahwa Aku Perempuan by Ihsan Abdul Quddus for literature learning. The method used is qualitative descriptive. The data collection technique in this research is reading and note-taking techniques. The results …

RESTORASI CITRA TERDERAU DENGAN METODE NON-LOCAL MEANS DENOISING

Digital images are one of the most used for various applications that is always in our everyday life. These images always come with noises, an anomaly that distorts the image further from its original condition. This could be fatal to some of the everyday life usage that humans do, such as medical conditions. The method in this study, Non-Local Means will be used to restore these images to at l…

KOMBINASI ARSITEKTUR DENSENET BOTTLENECK LAYER DAN GATE RECURRENT UNITS (GRU)…

Glaucoma is a chronic eye disease that can lead to blindness. Glaucoma detection can be done by classification using the DenseNet architecture. DenseNet provides good model performance, but often suffers from overfitting. Bottleneck layers can be used to prevent overfitting by reducing the feature dimensions before entering deeper layers. However, reducing the feature dimension may lead to the …

PENGOLAHAN DATA CITRA PADA SISTEM DETEKSI DAN MAPPING JALAN BERLUBANG MENGGUN…

According to data from the Ministry of Public Works and Public Housing (PUPR) in 2022, South Sumatra is one of the regions with a high rate of road damage in Indonesia, including numerous potholes. To address this issue, an automatic pothole detection system using deep learning and GPS-based mapping was developed. This system involves data preprocessing and mapping to create a representative da…

PENGOLAHAN CITRA & VIDEO DIGITAL: Teori, Aplikasi dan Pemrograman Menggunakan…

Edition

-

ISBN/ISSN

978-602-298-598-3

Collation

xvii, 126 hlm. ; 24 cm

Series Title

-

Call Number

006.42 Mad p

KLASIFIKASI CITRA JENIS BUAH DAN SAYURAN MENGGUNAKAN ALGORITMA YOLOV11

Automatic image classification of fruits and vegetables plays a crucial role in enhancing efficiency in the agricultural and retail sectors, yet it faces challenges due to visual complexities such as intra-class variation and inter-class similarity. This research aims to implement and evaluate the effectiveness of the You Only Look Once version 11 (YOLOv11) algorithm, specifically the YOLOv11s-…

Pengolahan Citra Digital

Edition

-

ISBN/ISSN

978-979-29-1443-6

Collation

xxviii, 420 hlm.; 23 cm

Series Title

-

Call Number

004 Put p

APLIKASI TEKNOLOGI PENGOLAHAN CITRA PADA PERUBAHAN WARNA BUAH JERUK SELAMA PR…

Tujuan penelitian ini adalah untuk menganalisis perubahan warna buah jeruk menggunakan program pengolahan citra dan mengetahui hubungan antara perubahan warna buah jeruk terhadap sifat fisika serta kimianya selama proses degreening berlangsung. Penelitian ini dilaksanakan di bengkel, laboratorium Kimia Hasil Pertanian dan laboratorium Mikrobiologi Jurusan Teknologi Pertanian, Fakultas Pertanian…

EVALUASI FUNGSI FISIK DAN ESTETIKA SERTA PERANCANGAN ULANG BIANGLALA TAMAN G-…

Ruang terbuka publik berperan penting dalam mendukung kualitas lingkungan kota serta memberikan ruang interaksi sosial bagi masyarakat. Namun, tidak semua taman kota memiliki kualitas fungsi dan estetika yang optimal. Penelitian ini bertujuan untuk mengevaluasi fungsi fisik dan estetika pada Taman Ferris Wheel G-Walk CitraLand Palembang, serta merumuskan strategi perancangan ulang berbasis hasi…

ANALISIS KONDISI MANGROVE DI PANTAI TIMUR OGAN KOMERING ILIR (OKI) PROVINSI S…

Penurunan luas area hutan mangrove di Pantai Timur OKI Provinsi Sumatera Selatan disebabkan oleh pembukaan lahan mangrove untuk pertambakan. Tujuan penelitian ini yaitu untuk menganalisis kondisi dan perubahan luas lahan mangrove dengan memanfaatkan data citra Landsat TM. Penelitian ini dilaksanakan pada tanggal 13-16 Mei 2006 di Sungai Lumpur Kabupaten OKI. Analilsi data citra satelit Landsat …

PEMANTAUAN KONDISI MANGROVE DI MUARA SUNGAI BANYUASIN, SUNGSANG DAN UPANG PRO…

Recently there is no actual data about the wide of mangrove forest in Indonesia especially in east wast of Banyuasin in South Sumatra province. Research about monitoring the condition of mangrove in estuary of Banyuasin river, Sungsang and Upang in South Sumatra province by using image of landsat-TM satelite. This Method is conducted by making each class of image farm closing landsat-TM recordi…