Optimization Algorithm for Digital Payments of Online Transportation
Fatkhur Rohman, Endah Ratna Arumi

Universitas Muhammadiyah Magelang

Abstract

Online transportation applications have been widely used by all people. Various kinds of information / news about online transportation on online news sites such as the development of application features, their impact on society, competition between online transportation developer applications, and digital payments. Related topics user experience in using transportation applications online, the experience of the driver^s side too many presented. Decision Tree algorithm is used as an algorithm for classification. The decision tree consists of several nodes, namely the tree root, internal nodes, and leaves. The concept of entropy is used to determine which attributes will split the tree. In the Decision Tree algorithm, each node internally divide the space into two or more in accordance with a discrete function of the attribute value input. In the case of the simplest and most often, each test it as a single attribute, so that the empty space is partitioned adjusted to the value of the attribute. The process of data classification determines the most optimal solutions appropriate data to analyze trends in user experience to make payments online digital transport. The results of this research has been done can be concluded that in the last 3 years, there are 108 negative news, positive news 115, and 142 neutral news which is the content of the online news that talks about digital payment. From the overall news is found, the highest rating on the news about OVO applications where the error occurs at the time of purchase and top up.

Keywords: decission tree, algoritm, digital payment, online transportation, classification

Topic: Engineering