Now showing items 21-40 of 61

    • 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 ...
    • 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 ...
    • 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 ...
    • Rainfall Monthly Prediction Based on Artificial Neural Network: A Case Study in Tenggarong Station, East Kalimantan - Indonesia 

      Mislan, Mislan; Haviluddin, Haviluddin; Hardwinarto, Sigit; Sumaryono, Sumaryono; Aipassa, Marlon I. (The International Conference on Computer Science and Computational Intelligence (ICCSCI 2015) - Procedia Computer Science 59, 2015-08-30)
      The accuracy of forecasting rainfall is very important due to the current world climate change. Afterwards, to get an accurate forecasting of rainfall, this paper applied an Artificial Neural Network (ANN) with the ...
    • Performance of Modeling Time Series Using Nonlinear Autoregressive with eXogenous input (NARX) in the Network Traffic Forecasting 

      Haviluddin, Haviluddin; Alfred, Rayner (2015 International Conference on Science in Information Technology (ICSITech), 2016-02-18)
      A time-series data analysis and prediction tool for learning the network traffic usage data is very important in order to ensure an acceptable and a good quality of network services can be provided to the organization ...
    • 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 ...
    • Scilab Software as an Alternative Low-Cost Computing in Solving the Linear Equations Problem 

      Agus, Fahrul; Haviluddin, Haviluddin (The 1st International Conference on Mathematics, Science, and Computer Science (ICMSC) 2016, 2016-10-21)
      Numerical computation packages are widely used both in teaching and research. These packages consist of license (proprietary) and open source software (non-proprietary). One of the reasons to use the package is a complexity ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 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 ...
    • Performance of Decision Tree C4.5 Algorithm in Student Academic Evaluation 

      Budiman, Edy; Haviluddin, Haviluddin; Dengen, Nataniel; Harsa Kridalaksana, Awang; Wati, Masna; Purnawansyah, Purnawansyah (The Sixth International Conference on Computational Science and Technology 2019 (ICCST2019), 2018-02-28)
      Student academic evaluation is part of academic information system (AIS) performance, in order to control student learning progress is necessary. Furthermore, the evaluation showing whether the student will pass or fail ...
    • Water Level Prediction of Lake Cascade Mahakam Using Adaptive Neural Network Backpropagation (ANNBP) 

      Mislan, Mislan; Gaffar, Achmad Fanany Onnilita; Haviluddin, Haviluddin; Puspitasari, Novianti (IOP Conf. Series: Earth and Environmental Science 144, 2018-05-08)
      A natural hazard information and flood events are indispensable as a form of prevention and improvement. One of the causes is flooding in the areas around the lake. Therefore, forecasting the surface of Lake water level ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Transformation of 3-D Jerk Chaotic System into Parallel Form 

      Voliansky, Roman; Pranolo, Andri; Wibawa, Aji Prasetya; Haviluddin, Haviluddin (2018 International Symposium on Advanced Intelligent Informatics (SAIN), 2019-03-01)
      The paper deals with the developing of the methodological backgrounds for studying 3-D chaotic systems. Such backgrounds allow us to perform the coordinate transformation for 3-D nonlinear dynamical object from serial form ...