Support Vector Machine has disadvantages in determining the optimal parameter and suitable features, this has an effect on the value of accuracy produced. Therefore, optimization is needed to select the features to be used. This study optimizes the Support Vector Machine algorithm with features selection using Particle Swarm Optimization. The data used is work lay time Computer Science Faculty …
Sentiment analysis is used to determine someone's opinion on a topic, then classify the comments into positive or negative sentiments. Support Vector Machine (SVM) is one of thealgorithms supervised learning that predicts classes based on models or patterns from the results of theprocess training. Themethod Support Vector Machine (SVM) in general still has shortcomings when applied toshort text…
Text Summarization is a tool used to generate a short form of text that contains important information that is needed by the user automatically. In this study, Text Summarization was conducted on Indonesian news using K-Means method. The news is taken from CNN Indonesia with a free topic. K-Means is used to classify sentences that already have weight in the news with 2 clusters, namely text sum…
A foreign tourist is someone who comes to a place that is not their country only temporarily or not permanently. Estimates of the number of tourists who come are not fixed or always changing. Therefore, a method is needed to estimate the number of tourists. The method that is often used in forecasting is the Fuzzy Time Series. Forecasting uses techniques to estimate a value in the future by pay…