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Model-Based Feature Selection for Developing Network Attack Detection
and Alerting System
The use of the Intrusion Detection Systems (IDS) still has unresolved problems, namely the lack of accuracy in attack detection,
resulting in false-positive problems and many false alarms. Machine learning is one way that is often utilized to…
resulting in false-positive problems and many false alarms. Machine learning is one way that is often utilized to…
The Implementation of MQTT Protocol using PT-100 for Monitoring the
Vaccine Temperature
Fajar bagus W
Visualization of Prediction of The Spread of Covid-19 in Indonesia using Cellular Automata
The first case of COVID 19 was detected in Indonesia in early March 2020. One way to assist the government in making decisions to deal with COVID-19 is to create a map of the distribution of COVID-19 patients based on which can only be accessed by…
A Model of Non-ASN Employee Performance Assessment Based on the
ROC and MOORA Methods
This study aims to assess the performance of non-ASN employees at the Human Resources Development Agency (BPSDM),
East Kalimantan Province, Indonesia in order to assist organizers in determining the feasibility of extending work contracts.
The…
East Kalimantan Province, Indonesia in order to assist organizers in determining the feasibility of extending work contracts.
The…
Optimized Q-Learning-Based Handover Decision Algorithm for Femtocells Using Load Balancing in LTE-A Networks
The rapid growth of mobile devices and demand for mobile data have made maintaining capacity, high coverage, and data speed challenging. With the emergence of small cell networks, the Long-Term Evolution (LTE) system helped to address these issues,…
Identification of Vehicle Types Using Learning Vector Quantization
Algorithm with Morphological Features
The increase in the number of vehicles every year results in traffic jams. So it is necessary to identify the type of vehicle, so
that the vehicle can be arranged according to the path. This study aims to develop a system that can identify the type…
that the vehicle can be arranged according to the path. This study aims to develop a system that can identify the type…
Legal Frameworks for Digital Space Protection in Kenya
Strong cyber laws are necessary to protect digital spaces in Kenya, where the digital landscape is changing quickly. This need has grown. This article explores Kenya's legal framework for cyberspace, focusing on important topics such as privacy,…
Towards Generating Unit Test Codes Using
Generative Adversarial Networks
Unit testing is one of the important software development steps to ensure the software’s quality. Despite its importance, unit
testing is often neglected since it requires a significant amount of time and effort from the software developers to…
testing is often neglected since it requires a significant amount of time and effort from the software developers to…
Food Fraud Prevention using a Blockchain-Based System:
Case Study Slaughterhouse in Sidoarjo
In the supply chain of foodstuffs derived from livestock, data consistency and security are the most important thing to pay
attention to. However, the length of the existing supply chain and the lack of facilities to store and maintain the…
attention to. However, the length of the existing supply chain and the lack of facilities to store and maintain the…
The Generating Super Resolution of Thermal Image based on Deep
Learning
The need of high resolution to thermal image is very urgent and important. The high resolution of thermal image is able to give
the accurate information on heat distribution map of the objects. The accurate heat distribution maps is able to give…
the accurate information on heat distribution map of the objects. The accurate heat distribution maps is able to give…