Now showing items 1-20 of 28

    • A COMPARISON BETWEEN SIMPLE LINEAR REGRESSION AND RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) MODELS FOR PREDICTING STUDENTS’ ACHIEVEMENT 

      Haviluddin, Haviluddin; Sunarto, Andang; Yuniarti, Suci (International Conference on Education 2014 (ICEdu14), 2014)
      This paper presents an approach for predicting student achievements using statistics and artificial neural networks (ANN), namely linear regression and radial basis function neural network (RBFNN) methods. The data is ...
    • A COMPARISON BETWEEN SIMPLE LINEAR REGRESSION AND RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) MODELS FOR PREDICTING STUDENTS’ ACHIEVEMENT 

      Haviluddin, Haviluddin; Sunarto, Andang; Yuniarti, Suci (International Conference on Education 2014 (ICEdu14), 2014)
      This paper presents an approach for predicting student achievements using statistics and artificial neural networks (ANN), namely linear regression and radial basis function neural network (RBFNN) methods. The data is ...
    • Comparing performance of Backpropagation and RBF neural network models for predicting daily network traffic 

      Purnawansyah, Purnawansyah; Haviluddin, Haviluddin (2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI), 2015-03-26)
      The predicting daily network traffic usage is a very important issue in the service activities of the university. This paper present techniques based on the development of backpropagation (BP) and radial basis function ...
    • Comparison Between K-Means and Fuzzy C-Means Clustering in Network Traffic Activities 

      Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Gaffar, Achmad Fanany Onnlita; Tahyudin, Imam (International Conference on Management Science and Engineering Management ICMSEM 2017, 2017-06-29)
      A network traffic utilization in order to support teaching and learning activities are an essential part. Therefore, the network traffic management usage is requirements. In this study, analysis and clustering network ...
    • Comparison of ANN Back Propagation Techniques in Modelling Network Traffic Activities 

      Haviluddin, Haviluddin; Alfred, Rayner (1st International Conference on Science and Technology for Sustainability (ICosTechs), 2014)
      In this paper, we demonstrated a method used for forecasting the daily network traffic activities by using artificial neural network (ANN) with back propagation (BP) algorithms. We used the inputs and outputs of data from ...
    • Comparison of TCP Variants in Long Term Evolution (LTE) 

      Taruk, Medi; Budiman, Edy; Haviluddin, Haviluddin; Setyadi, Hario Jati (2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE) - Universitas Negeri Malang, 2017-10-07)
      Transmission Control Protocol (TCP) is one of the protocols that work in the OSI (Open System Interconnection) modeling transport layer. TCP was designed more for wired networks. However, to meet the need for rapid development ...
    • Customer trust of online shopping using social media 

      Mariana, V E; Wibawa, Aji Prasetya; Hammad, Jehad; Herdianto, R; Haviluddin, Haviluddin (IOP Conf. Series: Materials Science and Engineering 403, 2018-09-14)
      Recently, people have tendency to purchase goods from online stores. This study aims to determine the level of students trust in social media online stores. In this descriptive qualitative study, data and information ...
    • Decision Making of Banana Varieties Based on Land in Samarinda Using ELECTRE Method 

      Hatta, Heliza Rahmania; Akhyar, Ramaulvi Muhammad; Khairina, Dyna Marisa; Maharani, Septya; Haviluddin, Haviluddin; Purnawansyah, Purnawansyah (Advances in Intelligent Systems Research (AISR), volume 144 - Atlantis Press, 2017-11-30)
      Indonesia is an agrarian country, a country with fertile soil and rich in nutrients so that a lot of land that can be used as agricultural land for a variety of plants one of which is a banana plant. Banana is a plant that ...
    • Exploring COBIT Framework for Information Technology Governance (ITG) at Mulawarman University, Samarinda, East Kalimantan, Indonesia: A Descriptive Study 

      Haviluddin, Haviluddin (BIMP-EAGA CONFERENCE: Enhancing Sustainability, Competitiveness & Innovation, 2012)
      COBIT (Control Objective for Information and Related Technology) has become one of the most important frameworks for information technology governance (ITG), which provides organizations with a useful guidelines tool to ...
    • Exploring COBIT Framework for Information Technology Governance (ITG) at Mulawarman University, Samarinda, East Kalimantan, Indonesia: A Descriptive Study 

      Haviluddin, Haviluddin; Anthony, Patricia (BIMP-EAGA CONFERENCE: Enhancing Sustainability, Competitiveness & Innovation, 2012)
      COBIT (Control Objective for Information and Related Technology) has become one of the most important frameworks for information technology governance (ITG), which provides organizations with a useful guidelines tool to ...
    • Forecasting Inflow and Outflow of Money Currency in East Java Using a Hybrid Exponential Smoothing and Calendar Variation Model 

      Susanti, Ana; Suhartono, Suhartono; Setyadi, Hario Jati; Taruk, Medi; Haviluddin, Haviluddin; Widagdo, Putut Pamilih (IOP Conf. Series: Journal of Physics: Conf. Series 979, 2018-03-13)
      Money currency availability in Bank Indonesia can be examined by inflow and outflow of money currency. The objective of this research is to forecast the inflow and outflow of money currency in each Representative Office ...
    • A Heuristic Network for Predicting the Percentage of Gross Domestic Product Distribution 

      Gaffar, Emmilya Umma Aziza; Gani, Irwan; Haviluddin, Haviluddin; Gaffar, Achmad Fanany Onnlita; Alfred, Rayner (IEEE, 2019-03-25)
      In a country, economic growth indicators are measured by GDP growth rates. In order to predict GDP growth then, economic situation and economic development strategy have always been used. In this study, GDP contribution ...
    • Integrated Multi Criteria Decision Making for a Destitute Problem 

      Budiman, Edy; Dengen, Nataniel; Haviluddin, Haviluddin; Indrawan, Wahyu (2017 3rd International Conference on Science in Information Technology (ICSITech), 2017-10-27)
      The principal issue in neediness diminishment in Indonesia has various in definitions and pointers of destitution. Granting model for a destitute problem can be gained through an integration of Multi Criteria Decision ...
    • IPCC Analysis with Backpropagation Neural Network Algorithm for Decennial CH4 Potential: A Review on City Waste to Energy 

      Dwi Atmaja, Tinton; Andriani, Dian; Wibawa, Aji Prasetya; Utama, Agung Bella Putra; Haviluddin, Haviluddin; Jabari, Nedal A.M. (IEEE, 2019-10-24)
      Biogas as one potential renewable energy can be arranged from a proper CH4 production system commonly introduced at landfill site. City waste has been one of many resources to generate methane which can be daily transported ...
    • K-Means Clustering Implementation in Network Traffic Activities 

      Purnawansyah, Purnawansyah; Haviluddin, Haviluddin (2016 International Conference on Computational Intelligence and Cybernetics, 2017-04-06)
      At present, management analysis bandwidth in a university is indispensable. It aims to control bandwidth usage, so that all spots can be served comfortably especially to supporting the teaching and learning activities. In ...
    • Measure distance locating nearest public facilities using Haversine and Euclidean Methods 

      Maria, E.; Budiman, Edy; Haviluddin, Haviluddin; Taruk, Medi (IOP - Journal of Physics: Conference Series, 2020-04-10)
      The application of finding the nearest public facility using 2 methods to measure the distance between 2 points, i.e. the Euclidean Method and the Haversine Formula. Euclidean is a heuristic function obtained based on ...
    • Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO) 

      Ahmar, Ansari Saleh; Guritno, Suryo; Abdurakhman, Abdurakhman; Rahman, Abdul; Awi, Awi; Alimuddin, Alimuddin; Minggi, Ilham; Tiro, M Arif; Aidid, M Kasim; Annas, Suwardi; Sutiksno, Dian Utami; Ahmar, Dewi S; Ahmar, Kurniawan H; Ahmar, A Abqary; Zaki, Ahmad; Abdullah, Dahlan; Rahim, Robbi; Nurdiyanto, Heri; Hidayat, Rahmat; Napitupulu, Darmawan; Simarmata, Janner; Kurniasih, Nuning; Abdillah, Leon Andretti; Pranolo, Andri; Haviluddin, Haviluddin; Albra, Wahyudin; Arifin, A Nurani M (IOP Conf. Series: Journal of Physics: Conf. Series 954, 2018-02-22)
      The aim this study is discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction of data using an iterative procedure ...
    • Modelling of Network Traffic Usage Using Self- Organizing Maps Techniques 

      Haviluddin, Haviluddin; Yunianta, Arda; Harsa Kridalaksana, Awang; Arifin, Zainal; Kresnapati, Bayu; Rahman, Fauzi; Irawan, Hendra Yuni; Gaffar, Achmad Fanany Onnlita; Mulyo, Mulaab; Pranolo, Andri (2016 2nd International Conference on Science in Information Technology (ICSITech), 2017-02-16)
      Currently, the Internet is one important part of the campus infrastructure that supports the teaching and learning activities. The important part of the internet facility is the provided bandwidth as Bandwidth management ...
    • A Numerical Classification Technique Based on Fuzzy Soft Set Using Hamming Distance 

      Yanto, Iwan Tri Riyadi; Saedudin, Rd Rohmat; Lashari, Saima Anwar; Haviluddin, Haviluddin (International Conference on Soft Computing and Data Mining SCDM 2018, 2018-01-28)
      In recent decades, fuzzy soft set techniques and approaches have received a great deal of attention from practitioners and soft computing researchers. This article attempts to introduce a classifier for numerical data using ...
    • The Ontology-Based Methodology Phases To Develop Multi-Agent System (OmMAS) 

      Yunianta, Arda; Barukab, Omar M.; Yusof, Norazah; Musdholifah, Aina; Jayadiyanti, Herlina; Dengen, Nataniel; Haviluddin, Haviluddin; Othman, Mohd Shahizan (2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017-12-25)
      Semantic aspect on methodology phase is a significant issue to develop multi-agent system in the current days. There are a lot of methodologies to develop multi-agent system, but the current problem is how to choose the ...