Vol 8 No 6 (2024)
Dublin Core
Title
Vol 8 No 6 (2024)
Collection Items
Manhattan Distance-based K-Medoids Clustering Improvement forDiagnosing Diabetic Disease
Diabetes is a metabolic disorder characterized by blood glucose levels above normal limits.Diabetes occurs when the body is unable to produce sufficient insulin to regulate blood sugar levels. As a result, blood sugar management becomes impaired and…
The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection
The pervasive issue of fake news spreading rapidly on online platforms.causing a concerning dissemination of misinformation. The influence of fake news has become a pressing social problem, shaping public opinionin important eventssuch as elections.…
Performance and EfficiencyComparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization
This study presents a comprehensive comparison of U-Net and Ghost U-Net for road crack segmentation, emphasizing their performance and memory efficiency across various data representation formats, including FP32, FP16, and INT8 quantization. A…
IoT Security: Botnet Detection Using Self-Organizing Feature Map and Machine Learning
The rapid advancement of Internet of Things (IoT) technology has created potential for progress in various aspects of life. However, the increasing number of IoT devices also raises the risk of cyberattacks, particularly IoT botnets…
Utilization of HouseholdOrganic Waste intoBiogas and Integrated with IoT
The increase in population impacts several environmental sectors, particularly the use of natural gas energy for household needs, such as LPG (Liquefied Petroleum Gas). This has resulted in the depletion of natural gas reserves and a…
Optimizing Indonesian-Sundanese Bilingual Translation with Adam-Based Neural Machine Translation
This research seeks to construct an automatic translation between Indonesian and Sundanese languages based on the Neural Machine Translation (NMT) method. The model used in this study is the Long Short-Term Memory (LSTM) type, which carries out an…
Performance Analysis of MobileNetV3-based Convolutional Neural Network for Facial Skin Disorder Classification
Accurately identifying facial skin types is essential for recommending the right skincare treatments and products. Misidentifying skin types can lead to negative consequences, such as irritation or worsening of skin …
The Memory Efficiency in a Receptionist Robot's Face Recognition System Using LBPHAlgorithm
This research aims to develop a memory-efficient face recognition system for a receptionist robot using the Local Binary Patterns Histogram (LBPH) algorithm. Given the computational limitations of the Raspberry Pi, the system utilizes optimization …
Lightweight Models for Real-Time Steganalysis: A Comparisonof MobileNet, ShuffleNet, and EfficientNet
In the digital age, the security of communication technologies is paramount, with cybercrime projected to reach $10.5 trillion annually by 2025. While encryption is vital, decrypted data remains vulnerable, prompting the exploration of steganography…
Comparative Evaluation of IndoBERT, IndoBERTweet, and mBERT for Multilabel Student Feedback Classification
Student feedback plays a crucial role in enhancing the quality of educational programs, yet analyzing this feedback, especially in informal contexts, remains challenging. In Indonesia, where student comments often include colloquial language and vary…