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…
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…
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 …
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 …
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…
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…
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…
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…
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…
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 …
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…
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 …
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…
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-…
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…
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…
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 …
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…
This research examines the "Self-Image of Late Adolescents Visiting Coffee Shop Kopi 16 in Palembang." Visiting coffee shops has become a phenomenon lately because many late teenagers, especially at Coffee Shop 16, shape, express, and perceive themselves in front of others through their visits to coffee shops. In this research, the method used is qualitative descriptive. The data collection tec…
This study aims to analyze the influence of Brand Image and Brand Awareness on consumers' purchasing decisions of Bulog Premium rice. This research uses a quantitative approach with an associative method. Primary data were collected through the distribution of questionnaires to 100 respondents who are consumers of Bulog Premium rice. Based on the analysis using the AIDA theory, the results show…
Limitations of visual analysis by medical personnel. This study implements the YOLOv8 algorithm, a state-of-the-art deep learning method for object detection, to identify three types of brain tumors, namely glioma, meningioma, and pituitary. The dataset was obtained from Kaggle, then processed through the preprocessing and augmentation stages with Roboflow, and trained using several YOLOv8 vari…
Facial images captured under low-light conditions often suffer from visual degradation, including low contrast, inadequate brightness, and loss of important details, which negatively impact face detection accuracy. This study aims to enhance the quality of low-light images using the Retinex method as a preprocessing step and to evaluate its effect on the performance of the YOLOv5 face detection…