Browse Items (19 total)
- Collection: Vol 6 No 3 (2022)
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Factors Affecting the PeduliLindungi User Experience
Based on UX Honeycomb
With background of Covid-19 pandemic, Indonesian state trying to make various efforts, so people comply health protocols.
One of them is through PeduliLindungi application. PeduliLindungi has 3 main functions, namely tracing, tracking, warning…
One of them is through PeduliLindungi application. PeduliLindungi has 3 main functions, namely tracing, tracking, warning…
Performance Analysis of Hybrid Machine Learning Methods on
Imbalanced Data (Rainfall Classification)
This study proposes several methods to analyze the performance of the hybrid machine learning method using Voting and
Stacking on rainfall classification. The two hybrid methods will combine five classification methods, namely Logistic…
Stacking on rainfall classification. The two hybrid methods will combine five classification methods, namely Logistic…
Identification of Malaria Parasite Patterns With Gray Level Co-Occurance
Matrix Algorithm (GLCM)
The results of the test using 5 data of malaria parasite test imagery found that image 1 has an average accuracy value of the
energy of 0.55627, homogeneity average of 0.8371, PSNR of 6.1336db, and MSE of 0.24358. Image 2 has an average energy…
energy of 0.55627, homogeneity average of 0.8371, PSNR of 6.1336db, and MSE of 0.24358. Image 2 has an average energy…
Interdependency and Priority of Critical Infrastructure Information
(Case Study: Indonesia Payment System)
The sturdy and reliable payment system is one of the most important systems in the digitalization era, especially in the pandemic
COVID-19 period. As part of Critical Infrastructure Information (CII), a strategy to protect the payment system is…
COVID-19 period. As part of Critical Infrastructure Information (CII), a strategy to protect the payment system is…
Prediction of Retweets Based on User, Content, and Time Features Using
EUSBoost
Twitter is one of the popular microblogs that allow users to write posts. Retweeting is one of the mechanisms for the diffusion
of information on Twitter. One way to understand the spread of information is to learn about retweet predictions. This…
of information on Twitter. One way to understand the spread of information is to learn about retweet predictions. This…
Implementation of CNN-MLP and CNN-LSTM for MitM Attack
Detection System
Man in the Middle (MitM) is one of the attack techniques conducted for eavesdropping on data transitions or conversations
between users in some systems secretly. It has a sizeable impact because it could make the attackers will do another attack,…
between users in some systems secretly. It has a sizeable impact because it could make the attackers will do another attack,…
Detection of Covid-19 on X-Ray Image of Human Chest Using CNN and
Transfer Learning
At the end of 2019, a new disease called Coronavirus Disease (COVID-19) originated in Wuhan, China. This disease is caused
by respiratory tract infections, ranging from the common cold to serious diseases such as Middle East Respiratory Syndrome…
by respiratory tract infections, ranging from the common cold to serious diseases such as Middle East Respiratory Syndrome…
Fuzzy Learning Vector Quantization for Classification of Mixed Meat
Image Based on Character of Color and Texture
Beef consumption is quite high and expensive in the world. In Indonesia, beef prices are relatively expensive because the meat
supply chain from farmers to the market is quite long. The high demand for beef and the difficulty of obtaining meat are…
supply chain from farmers to the market is quite long. The high demand for beef and the difficulty of obtaining meat are…
k-Nearest Neighbor and Feature Extraction on Detection of Pest and
Diseases of Cocoa
Knowledge and utilization of digital images are growing rapidly not only in the fields of medicine and industry but also in the
field of agriculture. This knowledge can apply it to a computer-based program that is used to detect agricultural…
field of agriculture. This knowledge can apply it to a computer-based program that is used to detect agricultural…
Segmentation of Small Objects in Satellite Imagery Using Dense U-Net in
Massachusetts Buildings Dataset
Class imbalance is a serious problem that disrupts the process of semantic segmentation of satellite imagery in urban areas in
Earth remote sensing. Due to the large objects dominating the segmentation process, small object are consequently…
Earth remote sensing. Due to the large objects dominating the segmentation process, small object are consequently…