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Repositori Institusi
Turnitin-Automated Detection and Counting of Hard Exudates for Diabetic Retinopathy by using Watershed and Double Top- Bottom Hat Filtering Algorithm
Diabetic Retinopathy (DR) is one of diabetes complications that affects our eyes. Hard Exudate (HE) are known to be the
early signs of DR that potentially lead to blindness. Detection of DR automatically is a complicated job since the size of HE is ...
Repositori Institusi
Automated Detection and Counting of Hard Exudates for Diabetic Retinopathy by using Watershed and Double Top-Bottom Hat Filtering Algorithm
Diabetic Retinopathy (DR) is one of diabetes complications that affects our eyes. Hard Exudate (HE) are known to be the
early signs of DR that potentially lead to blindness. Detection of DR automatically is a complicated job since the size of HE is ...
Repositori Institusi
Detection of Microaneurysm Model Using Kmean Clustering Method, Hough Transform Optimization and CNN
Introduction: Diabetic retinopathy (DR) is a chronic disease that damages the retina due to damage to the small blood vessels caused by diabetes mellitus. This disease is one of the main causes of visual impairment in people with diabetes. Early dete...
Jurnal Institusi
Empowerment Program for Tailor Women In Glagaharum Village Through Segmentation, Targeting And Positioning Education: Program Pemberdayaan Ibu-Ibu Penjahit Desa Glagaharum Melalui Edukasi Segmentasi, Targeting dan Positioning
Dinamisia : Jurnal Pengabdian Kepada Masyarakat; Vol. 8 No. 5 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat; 1407-1415 | ISSN: 1407-1415
The residents of Glaagaharum Village have limitations to meet household needs. The income of each head of a family has not been able to meet the living needs of every household. This causes housewives to take on an additional role as a financial supp...
Jurnal Institusi
Enhancing Dental Image Segmentation Techniques: Edge Detection and Color Thresholding
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ; 94-104
Rapid advancements in medical technology, particularly in the field of dentistry, have led to significant progress in the application of medical imaging techniques to generate valuable image data. The resulting images often exhibit heterogeneous inte...
Jurnal Institusi
Clustering of Oil Well Production Potential in Pertamina Hulu Rokan Regional 1 Zone 4 Limau Field
ComniTech : Journal of Computational Intelligence and Informatics ; Vol. 1 No. 2 (2024): ComniTech : Journal of Computational Intelligence and Informatics; 67-75
The variation in the performance of the oil wells in the Limau Field of Pertamina Hulu Rokan Regional 1 Zone 4 poses a challenge to the management and operational decision making. Basic segmentation and lack of visualization of well groupings based o...
Jurnal Institusi
ANALISIS TINGGI TERBANG UNMANNED AERIAL VEHICLE TERHADAP KLASIFIKASI TUTUPAN LAHAN MENGGUNAKAN OBJECT BASED IMAGE ANALYSIS
ZONAsi: Jurnal Sistem Informasi; Vol. 6 No. 1 (2024): Publikasi Artikel ZONAsi Periode Januari 2024; 38 - 47
The development of forest and land cover classification methods was currently increasing rapidly, one of which is by utilizing remote sensing applications, namely UAV technology. One method with high accuracy that can be used to classify fo...
Jurnal Institusi
STRATEGI PENGEMBANGAN BISNIS BIOINSEKTISIDA CV THARA NERO TAMA-JEMBER
Jurnal Agribisnis; Vol. 20 No. 1 (2018): Jurnal Agribisnis; 21-34
Bioinsecticide has known for much farmers to substitute chemical pesticide. In periodically, hope that can reduce negative impact from chemical pesticide. One of company that starts their business with fertiliser and biology pesticide is CV Thara Ner...
Jurnal Institusi
Optimization of Incung Ancient Manuscript Character Recognition Using Template Matching and Image Enhancement
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 17 No. 1 (2026): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; 1-10
Ancient manuscripts represent valuable cultural heritage but are highly vulnerable to physical degradation and loss of public understanding. One such heritage is the Incung script manuscripts from Kerinci Regency, Indonesia, which remain underexplore...
Jurnal Institusi
Dimensionality Reduction and Clustering of Global Large Enterprise Data Using PCA, UMAP, and Gaussian Mixture Models
ComniTech : Journal of Computational Intelligence and Informatics ; Vol. 2 No. 2 (2025): ComniTech : Journal of Computational Intelligence and Informatics; 63-68
In the modern business landscape, large corporations generate high dimensional datasets that combine financial, operational, and market indicators, often producing complex and partially overlapping structures that are difficult to interpret in the or...
Jurnal Institusi
Implementation of Zero Trust Architecture in Online Examination Systems to Prevent Cheating
CyTED: Journal of Cyberlearning, Technolinguistics, & Edu-Games; Vol. 1 No. 1 (2026): April 2026
The increasing use of online exam systems (e-exams) in the post-pandemic cyberlearning ecosystem presents critical challenges to academic integrity, particularly related to vulnerabilities to increasingly sophisticated technical fraud such as the use...
Jurnal Institusi
Learning by Doing Intervention: Addressing Phonological Difficulties of Children through Audiolingual Method and Total Physical Response
Elsya : Journal of English Language Studies; Vol. 3 No. 3 (2021): Elsya : Journal of English Language Studies; 150-162
Phonological awareness is a critical skill that children must master during the early foundations of literacy. It is considered a highly accurate predictor of a child’s success in learning to read. However, at the expected age, there are cases in w...
Jurnal Institusi
Hybrid K-Means-LSTM Model for Traffic Volume Prediction on Pekanbaru Arterial Roads
JAISEN: Journal of Advanced Information Systems and Engineering; Vol. 1 No. 2 (2026): JAISEN: Journal of Advanced Information Systems and Engineering ; 32-41
Traffic congestion remains a critical issue in rapidly growing urban areas, including Pekanbaru City, Indonesia. Accurate traffic volume prediction is essential to support effective traffic management and proactive decision-making. This study propose...
PubMed
Click to Correction: Interactive Bidirectional Dynamic Propagation Video Object Segmentation Network
Sensors (Basel)
High-quality video object segmentation is a challenging visual computing task. Interactive segmentation can improve segmentation results. This paper proposes a multi-round interactive dynamic propagation instance-level video object segmentation netwo...
PubMed
Semantic Segmentation of Medical Images Based on Runge–Kutta Methods
Bioengineering (Basel)
In recent years, deep learning has achieved good results in the semantic segmentation of medical images. A typical architecture for segmentation networks is an encoder–decoder structure. However, the design of the segmentation networks is fragmente...
PubMed
Weakly Supervised Building Semantic Segmentation Based on Spot-Seeds and Refinement Process
Entropy (Basel)
Automatic building semantic segmentation is the most critical and relevant task in several geospatial applications. Methods based on convolutional neural networks (CNNs) are mainly used in current building segmentation. The requirement of huge pixel-...
PubMed
SUSAN: Segment Unannotated image Structure using Adversarial Network
Magn Reson Med
PURPOSE: To describe and evaluate a segmentation method using joint adversarial and segmentation convolutional neural network (CNN) to achieve accurate segmentation using unannotated magnetic resonance (MR) image datasets. METHODS: A segmentation pip...
PubMed
Segmentation ability map: Interpret deep features for medical image segmentation
Med Image Anal
Deep convolutional neural networks (CNNs) have been widely used for medical image segmentation. In most studies, only the output layer is exploited to compute the final segmentation results and the hidden representations of the deep learned features ...
PubMed
Segmentation Scale Effect Analysis in the Object-Oriented Method of High-Spatial-Resolution Image Classification
Sensors (Basel)
High-spatial-resolution images play an important role in land cover classification, and object-based image analysis (OBIA) presents a good method of processing high-spatial-resolution images. Segmentation, as the most important premise of OBIA, signi...
PubMed
T1ρ and T2 Mapping of the Intervertebral Disk: Comparison of Different Methods of Segmentation
AJNR Am J Neuroradiol
BACKGROUND AND PURPOSE: Intervertebral disk biochemical composition could be accessed in vivo by T1ρ and T2 relaxometry. We found no studies in the literature comparing different segmentation methods for data extraction using these techniques. Our a...