Browse Items (9344 total)

In recent times, the supply chain has developed into a large ecosystem. Various products moving from party to party require cooperation between stakeholders in managing the data generated. The problem is that every company has its own…

The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The purpose of this research is to develop a prediction system for the number of tourists based on artificial neural networks. This study uses an artificial…

SIPERUMKIM is the digitization process of public service licensing recommendations for housing implementation. The utilization of information technology governance is used to facilitate monitoring and evaluating the …

Quality of experience (QoE) when accessing video streaming becomes a challenge in varieties of network bandwidth/speed. Adaptive streaming becomes an answer to gain good QoE. An architecture system of the adaptive streaming server …

Bandwidth problems are the most frequently encountered problems in sharing information traffic or internet access on computer networks. The factor that causes slow internet access is the large number of devices connected to the…

Diabetes (diabetes) was a metabolic disorder caused by high levels of sugar in the blood caused by disorders of the pancreas and insulin. According to data from the Ministry of Health of the Republic of Indonesia, Diabetes was the third-largest cause…

A University can have many student data in their databasebecause many students did not graduate on time.Data mining technique can be used to process student data to predict student graduation on time. Support Vector Machine (SVM)…

Skin cancer is a very common form of cancer that can be found in the United States with annual treatment costs exceeding $ 8 billion. New innovations in the classification and detection of skin cancer using artificial neural networks continue to…

This paper explains the use of the Random Forest Algorithm to investigate theCase of Acute Coronary Syndrome (ACS). Theobjectives of this study are to review the evaluation of the use of data sciencetechniques and machine learning…

Documents clustering based on frequent itemsets can be regarded a new method of documents clustering which is aimed to overcome curse of dimensionality of items produced by documents being clustered. The Maximum Capturing(MC)technique is an algorithm…