Literacy is one important component in a culture, one of which is Javanese culture. Javanese script is used as the main script that is used daily by most people in Central Java. Along with the development of human civilization and the expansion of global life, Javanese script began to be abandoned, even by the Javanese themselves. The use of Javanese characters is reduced because of the difficulty of learning Javanese characters themselves. Java character sets consist of basic characters, numbers, complementary characters, and so on. Javanese script is a traditional Indonesian script known as Hanacaraka or Carakan. Backpropagation is a systematic method of artificial neural networks using supervised learning algorithms and is usually used by perceptron with multiple screen layers to change the weights in the hidden layer. Text recognition application in alphabetical letters with neural networks. In the research we made, the training results of this application are good, because it can recognize letters well, the maximum characters that can be read by the application are 128 characters [Latin characters], based on ASCII code pages, this text recognition application can recognize letters and numbers, namely AZ and 0-9 with a percentage of success of up to 90%, Input characters to teach on the form train can only teach 1 character only.
Machine learning is a system that can learn by itself by using training data and testing data testing. In a variety of machine learning research has various obstacles in implementation especially in education institution, in its application, many things need to considered for more information to enrich research in the area of machine learning by way of comparing various obstacles in implementation in similar research. So that in this study is to find similarities and anticipations made in the initial stages of pre-processing to visualisation, as well as the contribution that can give in this study explains the best alternative for researching following the experience of several researchers in conducting machine learning research.
Company X is one of the companies engaged in the telecommunications business. To improve customer service, the company developed an Application Programming Interface). The developed API is used to promote product packages to customers. Sending data via API to millions of customers at the same time, can lead to failures due to the inability of the server to process that data. JMeter is one of the tools that can be used to perform performance testing of an API by providing TPS calculation output. Bulk data files are used as input to process large amounts of customer data on JMeter. Proper thread properties settings affect the TPS value, and the study has managed to achieve the TPS value to be achieved with error rate = 0, which means success.
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