Browse Items (18 total)
- Collection: Vol 8 No 6 (2024)
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Utilization of the Convolutional Neural Network Method for Detecting Banana Leaf Disease
anana leaf diseases such as Sigatoka, Cordana, and Pestalotiopsis pose a significant threat to banana productivity, with implications for food security and the global economy. Early detection of this disease is an important step to…
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…
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 …
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.…
Reducing Training Time in Skin Cancer Classification Using Convolutional Neural Network with Mixed Precision Implementation
In the field of skin cancer classification, machine learning and deep learning have been extensively utilized, particularly with convolutional neural network (CNN) architectures. However, there remains room for exploration to achieve …
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…
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 …
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…
Modified Particle Swarm Optimization on Feature Selection for Palm Leaf Disease Classification
Palm oil plantations in Indonesia face challenges in enhancing productivity and profitability, notably due to pest attacks that reduce production. Early identification and classification of plant conditions, particularly palm oil leaves, …
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…