Filter by
PENERAPAN PEMBELAJARAN DENGAN PENDEKATAN DEEP LEARNING PADA MATERI SISTEM PER…
This study aims to describe the mathematics learning process and analyze the learning outcomes of Two Variable Linear Equation Systems (SPLDV) material using a Deep Learning approach. The research subjects were 23 ninth-grade students at SMP Negeri 58 Palembang. This study used a descriptive method with data collection through observation and written tests consisting of three contextual questio…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, 245 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1947902026
ANALISIS KOMPARATIF MACHINE LEARNING DAN EXPLAINABLE ARTIFICIAL INTELLIGENCE …
Traffic accidents are a road safety issue that can result in fatalities. This study aims to compare the performance of machine learning models namely, Random Forest, XGBoost and LightGBM and to explain the prediction results of the best model using the Explainable Artificial Intelligence (XAI) approach, with SHapley Additive exPlanations (SHAP) employed as the interpretation method. The data us…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiv, 98 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T2005642026
EVALUASI METODE UNSUPERVISED LEARNING DALAM PENGELOMPOKAN DATA KECELAKAAN LAL…
Traffic accidents are one of the transportation issues that require distribution analysis to identify areas with different accident characteristics. This study aims to compare the K-Means, DBSCAN, and Hierarchical Clustering methods in clustering traffic accident data based on geographical location and accident severity. The dataset used is derived from traffic accident data in the United Kingd…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvi, 109 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T2005732026
PENINGKATAN KINERJA KLASIFIKASI GANGGUAN JANTUNG PADA SINYAL ELEKTROKARDIOGRA…
Electrocardiogram (ECG) signals represent the electrical activity of the heart and are used to record disorders such as arrhythmia and heart failure. Due to their non-stationary nature, ECG signals require a time-frequency domain approach to capture their dynamic characteristics more accurately. This study aims to develop and evaluate machine learning-based heart disorder classification models …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xxvi, 229 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T2002302026
MULTI OBJECT TRACKING PADA CITRA JANTUNG ANAK MENGGUNAKAN DEEP LEARNING
Congenital heart disease (CHD) in children, such as atrial septal defects (ASD), ventricular septal defects (VSD), and atrioventricular septal defects (AVSD), requires accurate diagnosis through dynamic analysis. However, existing methods for analyzing echocardiographic video are often limited to frame-by-frame analysis and are not yet capable of consistently tracking temporal changes. This stu…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 104 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T2002432026
IMAGE CAPTIONING PADA CITRA SERVIKS UNTUK LAPORAN MEDIS BERBASIS MODEL DEEP L…
Image captioning is a task in the fields of computer vision (CV) and natural language processing (NLP) that aims to generate textual descriptions from an image. In this study, various combinations of encoder–decoder architectures were designed and evaluated to improve captioning performance on cervical medical images from the International Agency for Research on Cancer (IARC). The encoders us…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xiv, 99 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T2001052026
SISTEM PATH PLANNING PADA AUTONOMOUS ELECTRIC VEHICLE BERBASIS HYBRID IMPROVE…
Teknologi kendaraan otonom memerlukan sistem navigasi yang andal untuk menghadapi lingkungan dinamis dan kondisi jalan yang kompleks. Tantangan utama meliputi perencanaan rute optimal, deteksi objek secara real-time, serta adaptasi terhadap rintangan. Penelitian ini mengusulkan integrasi Improved Ant Colony Optimization (IACO) dan YOLOv8 sebagai solusi terpadu untuk perencanaan rute dan deteksi…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xx, 232 hlm.; ilus.; tab.; 29 cm
- Series Title
- -
- Call Number
- T1897622025
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 …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xii, 74 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1566662024
KLASIFIKASI GENRE MUSIK BERDASARKAN COVER ALBUM MENGGUNAKAN METODE DEEP LEARNING
Classification of music genres has been carried out using various features. Research by Zhang (2022) conducted music genre classification based on sound frequency waves, resulting in an accuracy of 91% with a dataset of 1000 audio files. Music genre classification based on lyrics has also been studied by Oramas et al. (2017), the research used a dataset of 31,471. This study focuses on solving …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xvii, VI-1 hlm.; tab.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1458782024
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography