Browsing J - Computer Sciences and Information Technology by Author "Alfred, Rayner"

Now showing items 1-9 of 9

    • A Performance Neighborhood Distance (ndist) Between K -Means and SOM Algorithms 

      Haviluddin, Haviluddin; Gafar, Achmad Fanany Onnilita; Alfred, Rayner; Mislan, Mislan (Advanced Science Letters (ASL), 2018)
      Clustering is an important means of data mining based on separating data categories by similar features. This paper aims to compare the performance of neighborhood distance (ndist) between K-Means and Self-Organizing Maps ...

    • Big data: issues, trends, problems, controversies in ASEAN perspective 

      Haviluddin, Haviluddin; Alfred, Rayner (Association for Scientific Computing, Electronics, and Engineering (ASCEE), 2019-12-28)
      Big Data has a characteristics is size, new opportunities and have the potential to transform corporations and government and its interactions with the public. This paper attempts to offer a broader definition of Big Data ...

    • Daily Network Traffic Prediction Based on Backpropagation Neural Network 

      Haviluddin, Haviluddin; Alfred, Rayner (Australian Journal of Basic and Applied Sciences (AJBAS), 2014-12-13)
      Background: The analyzing and predicting network traffic usage is a very important issue in the service activities of the university. Objective: This paper presents the development of Backpropagation neural network (BPNN) ...

    • Forecasting Network Activities Using ARIMA Method 

      Haviluddin, Haviluddin; Alfred, Rayner (Journal of Advances in Computer Networks (JACN), 2014-09-03)
      This paper presents an approach for a network traffic characterization by using an ARIMA (Autoregressive Integrated Moving Average) technique. The dataset used in this study is obtained from the internet network traffic ...

    • An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm 

      Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Setyadi, Hario Jati; Wong, Kelvin; Alfred, Rayner (STMIK Dharma Wacana, 2019-12-28)
      This article aims to predict the inflation rate in Samarinda, East Kalimantan by implementing an intelligent algorithm, Backpropagation Neural Network (BPNN). The inflation rate data was obtained from the Provincial ...

    • Network Traffic Time Series Performance Analysis using Statistical Methods 

      Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Alfred, Rayner; Gaffar, Achmad Fanany Onnlita (Knowledge Engineering and Data Science (KEDS), 2018-01-02)
      This paper presents an approach for a network traffic characterization by using statistical techniques. These techniques are obtained using the decomposition, winter’s exponential smoothing and autoregressive integrated ...

    • A Performance Comparison of Statistical and Machine Learning Techniques in Learning Time Series Data 

      Haviluddin, Haviluddin; Alfred, Rayner; Obit, Joe Henry; Hijazi, Mohd Hanafi Ahmad; Ag Asri Ag, Ibrahim (Advanced Science Letters - ASP, 2015-10-03)
      The task of analyzing and forecasting time-series data is very crucial task as this Time Series Analysis (TSA) task is used for many applications such as Economic Forecasting, Sales Forecasting, Budgetary Analysis, Stock ...

    • Performance measurement in IT Governance based on balanced scorecard 

      Haviluddin, Haviluddin; Alfred, Rayner (International Journal of Informatics and Communication Technology (IJICT), 2014)
      The article reports on our work in conducting performance measurement for the management of Information Technology (IT) by applying the Balanced Scorecard (BSC) at Mulawarman University, Samarinda, East Kalimantan, Indonesia. ...

    • Short-Term Time Series Modelling Forecasting Using Genetic Algorithm 

      Haviluddin, Haviluddin; Alfred, Rayner (Advanced Science Letters - ASP, 2018-02-02)
      The prediction analysis of a network traffic time series dataset in order to obtain a reliable forecast is a very important task to any organizations. A time series data can be defined as an ordered sequence of values of ...