Now showing items 1-20 of 57

    • 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 ...
    • Active Learning berbasis Teknologi Informasi (ICT) 

      Haviluddin, Haviluddin (Jurnal Informatika Mulawarman - Universitas Mulawarman, 2010-09-03)
      Penerapan pembelajaran aktif di perguruan tinggi didasarkan pada prinsip bahwa cara belajar terbaik bagi mahasiswa adalah dengan melakukan, dengan menggunakan semua inderanya dan dengan mengeksplorasi lingkungannya yang ...
    • Analisis Penyakit Difteri Berbasis Twitter Menggunakan Algoritma Naïve Bayes 

      Sholihin, Ali; Haviluddin, Haviluddin; Puspitasari, Novianti; Wati, Masna; Islamiyah, Islamiyah (Sains, Aplikasi, Komputasi dan Teknologi Informasi - Universitas Mulawarman, 2019-04-01)
      Antisipasi dan penanganan penyakit difteri dengan tepat sangat diperlukan oleh Pemerintah Indonesia. Oleh karena itu, informasi dari masyarakat terkait penyakit difteri sangat diperlukan oleh instansi yang berwenang. Hasil ...
    • 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 ...
    • Automatic detection of peripapillary atrophy in retinal fundus imagesusing statistical features 

      Septiarini, Anindita (ELSEVIER, 2018-08)
      tThe presence of peripapillary atrophy (PPA) is associated with two kinds of diseases, namely glaucomaand myopia. PPA is one of the characteristics of these diseases that can be observed through retinal fundusimages. We ...
    • Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images 

      Septiarini, Anindita; Khairina, Dyna Marisa; Kridalaksana, Awang Harsa; Hamdani, Hamdani (Korean Society of Medical Informatics, 2018-01)
      Objectives: Glaucoma is an incurable eye disease and the second leading cause of blindness in the world. Until 2020, the number of patients of this disease is estimated to increase. This paper proposes a glaucoma detection ...
    • 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 ...
    • Buku Profil Data Statistik Sektoral Provinsi Kalimantan Timur Tahun 2020 

      Arifin, Zainal; Sagita, M. Adrie Dirga; Nazarruddin, Nazarruddin; Paramitha, Nadia (Dinas Komunikasi dan Informatika Provinsi Kalimantan Timur, 2021-07-21)
      Buku ini berisi data statistik sektoral yang mencakup data dari Inspektorat, Badan Kepegawaian Daerah, Badan Kesatuan Bangsa dan Politik, Badan Penanggulangan Bencana Daerah, Badan Pendapatan Daerah, Badan Pengelolaan ...
    • 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 ...
    • Contextual teaching learning with discovery methods to increase motivation, creativity, and outcomes learning science students in elementary school 

      Azainil, Azainil; Jumini, Jumini; Haryaka, Usfandi; Komariyah, Laili (International Journal of Innovation, Creativity and Change. www.ijicc.net Vol.5, Issue 3, 2019, 2019)
      Abstract The purpose of this Classroom Action research is to increase motivation, creativity and learning outcomes of science by using the Discovery Contextual Teaching Learning method. This research was conducted at ...
    • 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 ...
    • 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) ...
    • 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 ...
    • A Database Integrated System Based on SOAP Web Service 

      Haviluddin, Haviluddin; Budiman, Edy; Hidayat, Nur Fauzan (UIKTEN, 2019-08-23)
      An academic scientific digital data collection management (i.e., lecturers, researchers and students) in all educational institution, including Universitas Mulawarman, is very necessary. The purpose of digital data is to ...
    • Decision Support System for Admission Selection and Positioning Human Resources by Using Naive Bayes Method 

      Khairina, Dyna Marisa; Maharani, Septya; Ramadiani, Ramadiani; Hatta, Heliza Rahmania (American Scientific Publishers, 2017-03-03)
      Human Resources (HR) are the most important resource for companies that are expected to meet the criteria and become the company’s quality standards. HR selection process is important because it is not easy to make a ...
    • Decision support system for determining chili land using weighted product method 

      Ramadiani, Ramadiani; Ramadhani, Bayu; Arifin, Zainal; Jundillah, Muhammad Labib; Azainil, Azainil (Bulletin of Electrical Engineering and Informatics, 2020-06-01)
      Chili is one of the most consumed food commodities in Indonesia. Thus, chili is very influential to the economic, also inflation and deflation of an area. In order for the needs of chili to be fulfilled and to be able ...
    • E-Learning User Interface Acceptance Based On Analysis Of User's Style, Usability And User Benefits 

      Ramadiani, Ramadiani; Atan, Rodziah; Selamat, Mohd. Hasan; Che Pa, Noraini; Abdullah, Rusli (Faculty of Computer Science Universitas Indonesia, 2013-11-28)
      E-learning does not function properly if the system is not in accordance with user needs. This study aims to establish an evaluation model for e-learning user interface according to user acceptance. The model is designed ...
    • 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 ...
    • Evaluation of student academic performance using e-learning with the association rules method and the importance of performance analysis 

      Ramadiani, Ramadiani; Kurniawan, Adi; Arifin, Zainal; Jundillah, Muhammad Labib; Azainil, Azainil; Alex, Rasni; Hidayanto, Achmad Nizar (Journal of Physics: Conference Series, IOP Publishing, 2020-04-01)
      Abstract. In managing the student study process, there is a pattern that occurs repeatedly every year. The recurring data will produce information in the form of student profiles, entry paths, student academic results, ...
    • 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 ...