J - Computer Sciences and Information Technology: Recent submissions

Now showing items 81-93 of 93

    • Data mapping process to handle semantic data problem on student grading system 

      Yunianta, Arda; Yusof, Norazah; Bramantoro, Arif; Haviluddin, Haviluddin; Othman, Mohd Shahizan; Dengen, Nataniel (International Journal of Advances in Intelligent Informatics (IJAIN), 2016-11-03)
      Many applications are developed on education domain. Information and data for each application are stored in distributed locations with different data representations on each database. This situation leads to heterogeneity ...

    • Semantic data mapping technology to solve semantic data problem on heterogeneity aspect 

      Yunianta, Arda; Barukab, Omar Mohammed; Yusof, Norazah; Dengen, Nataniel; Haviluddin, Haviluddin; Othman, Mohd Shahizan (International Journal of Advances in Intelligent Informatics (IJAIN), 2017-11-03)
      The diversity of applications developed with different programming languages, application/data architectures, database systems and representation of data/information leads to heterogeneity issues. One of the problem ...

    • 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 ...

    • 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 ...

    • Artificial Neural Network Optimized Approach for Improving Spatial Cluster Quality of Land Value Zone 

      Haviluddin, Haviluddin; Agus, Fahrul; Azhari, Muhamad; Ahmar, Ansari Saleh (International Journal of Engineering and Technology(UAE) - Science Publishing Corporation, 2018-02-02)
      A geostatistics practical approach is divided data sample into several groups with certain rules. Then, the data groups are used for spatial interpolation. Furthermore, clustering technique is quite commonly used in order ...

    • Using the CDIO framework to teach research methodology to informatics students 

      Wibawa, Aji Prasetya; Suyono, Suyono; Lantara, Andi D.; Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Dengen, Nataniel (World Transactions on Engineering and Technology Education (WIETE), 2018-12-01)
      The conceive, design, implement, operate (CDIO) framework is an extended concept for project-based learning. In considering research as a project, the focus of the study described here was the implementation of CDIO for a ...

    • Feasibility Study of Fiber to the Home Networks for Optical Fiber Loss and Attenuation 

      Budiman, Edy; Haviluddin, Haviluddin; Wati, Masna; Taruk, Medi; Setyadi, Hario Jati; Pakpahan, Herman Santoso (International Journal of Engineering and Technology(UAE) - Science Publishing Corporation, 2018-07-04)
      The utilization of optical fiber cable as a data transmission medium has provided various benefits and advantages in terms of data transfer and economically because it can reduce the use of many copper cables. The purpose ...

    • Learning Style Preferred by English and Computer Students in Indonesia Context 

      Sunggingwati, Dyah; Haviluddin, Haviluddin (International Journal of Emerging Technologies in Learning (iJET) - Kassel University Press GmbH, 2019-10-30)
      This study investigates students’ learning style at tertiary level in Indonesia context. Eighty students of English Education and Computer Science Department participated in this study. Using a case study design, Kolb ...

    • Crude Palm Oil Prediction Based on Backpropagation Neural Network Approach 

      Hijratul, Aini; Haviluddin, Haviluddin (Universitas Negeri Malang, 2019-06-02)
      Crude palm oil (CPO) production at PT. Perkebunan Nusantara (PTPN) XIII from January 2015 to January 2018 have been treated. This paper aims to predict CPO production using intelligent algorithms called Backpropagation ...

    • 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 ...

    • 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. ...

    • ESforRPD2 : Expert System for Rice Plant Disease Diagnosis 

      Agus, Fahrul; Ihsan, Muh; Khairina, Dyna Marisa; Candra, Krishna Purnawan (F1000Research, 2019)
      One of the factors causing rice production disturbance in Indonesia is that farmers lack knowledge of early symptoms of rice plant diseases. These diseases are increasingly rampant because of the lack of experts. This study ...

    • Comparing of ARIMA and RBFNN for short-term forecasting 

      Haviluddin, Haviluddin; Jawahir, Ahmad (International Journal of Advances in Intelligent Informatics (IJAIN), 2015)
      Based on a combination of an autoregressive integrated moving average (ARIMA) and a radial basis function neural network (RBFNN), a time-series forecasting model is proposed. The proposed model has examined using simulated ...