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CommIT (Communication & Information Technology)
Published by Universitas Bina Nusantara
ISSN : 19792484     EISSN : 24607010     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Communication and Information Technology (CommIT) focuses on various issues spanning: software engineering, mobile technology and applications, robotics, database system, information engineering, artificial intelligent, interactive multimedia, computer networking, information system audit, accounting information system, information technology investment, information system development methodology, strategic information system (business intelligence, decision support system, executive information system, enterprise system, knowledge management), e-learning, and e-business (e-health, e-commerce, e-supply chain management, e-customer relationship management, e-marketing, and e-government). The journal is published in affiliation with Research Directorate, Bina Nusantara University in online and free access mode.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016" : 6 Documents clear
Executive Information System Modelling to Monitor Indonesian Criminal Rate Bernadi, Josef; Suharjito, Suharjito
CommIT (Communication and Information Technology) Journal Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1663

Abstract

Similar to any other governments, Indonesia government has the role of protecting the security of its citizens via the established police unit. However, the executive unit is often unable to provide response in timely manner due to the huge data size. For the reason, an executive information system (EIS) is established in order to provide necessary information to leverage the decision making process. This work intends to establish and evaluate the executive information system and its support to facilitate the efforts to fight crimes in Indonesia territory. The EIS prototype is established and is evaluated on the basis of the six information system success factors where the required data are collected by means of questionnaire. The results suggest that the factors of system quality, information quality, easy-of-use, user satisfaction, and individual and organization impacts are very significant.
Development of Model for Providing Feasible Scholarship Dhika, Harry
CommIT (Communication and Information Technology) Journal Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1666

Abstract

The current work focuses on the development of a model to determine a feasible scholarship recipient on the basis of the naiv¨e Bayes’ method using very simple and limited attributes. Those attributes are the applicants academic year, represented by their semester, academic performance, represented by their GPa, socioeconomic ability, which represented the economic capability to attend a higher education institution, and their level of social involvement. To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data are for the model testing. The results suggest that the model is capable to provide recommendations for the potential scholarship recipient at the level of accuracy of 95%.
Improving Scalability of Java Archive Search Engine through Recursion Conversion And Multithreading Karnalim, Oscar
CommIT (Communication and Information Technology) Journal Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1653

Abstract

Based on the fact that bytecode always exists on Java archive, a bytecode based Java archive search engine had been developed [1, 2]. Although this system is quite effective, it still lack of scalability since many modules apply recursive calls and this system only utilizes one core (single thread). In this research, Java archive search engine architecture is redesigned in order to improve its scalability. All recursion are converted to iterative forms although most of these modules are logically recursive and quite difficult to convert (e.g. Tarjan’s strongly connected component algorithm). Recursion conversion can be conducted by following its respective recursive pattern. Each recursion is broke down to four parts (before and after actions of current and its children) and converted to iteration with the help of caller reference. This conversion mechanism improves scalability by avoiding stack overflow error caused by method calls. System scalability is also improved by applying multithreading mechanism which successfully cut off its processing time. Shorter processing time may enable system to handle larger data. Multithreading is applied on major parts which are indexer, vector space model (VSM) retriever, low-rank vector space model (LRVSM) retriever, and semantic relatedness calculator (semantic relatedness calculator also involves multiprocess). The correctness of both recursion conversion and multithread design are proved by the fact that all implementation yield similar result.
Use of Data Mining for Prediction of Customer Loyalty Wijaya, Andri; Girsang, Abba Suganda
CommIT (Communication and Information Technology) Journal Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1660

Abstract

This  article  discusses  the  analysis  of  customer  loyalty  using  three  data  mining  methods:  C4.5,Naive Bayes, and Nearest Neighbor Algorithms and real-world  empirical  data.  The  data  contain  ten  attributes related to the customer loyalty and are obtained from a national  multimedia  company  in  Indonesia.  The  dataset contains 2269 records. The study also evaluates the effects of  the  size  of  the  training  data  to  the  accuracy  of  the classification.  The  results  suggest  that  C4.5  algorithm produces   highest classification   accuracy   at   the   order of  81%  followed  by  the  methods  of  Naive  Bayes  76% and  Nearest  Neighbor  55%.  In  addition,  the  numerical evaluation  also  suggests  that  the  proportion  of  80%  is optimal  for  the  training  set.
Power System Stabilizer Design Based on a Particle Swarm Optimization Multiobjective Function Implemented Under Graphical Interface Eddine, Ghouraf Djamel
CommIT (Communication and Information Technology) Journal Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1656

Abstract

Power system stability considered a necessary condition for normal functioning of an electrical network. The role of regulation and control systems is to ensure that stability by determining the essential elements that influence it. This paper proposes a Particle Swarm Optimization (PSO) based multiobjective function to tuning optimal parameters of Power System Stabilizer (PSS); this later is used as auxiliary to generator excitation system in order to damp electro mechanicals oscillations of the rotor and consequently improve Power system stability. The computer simulation results obtained by developed graphical user interface (GUI) have proved the efficiency of PSS optimized by a Particle Swarm Optimization, in comparison with a conventional PSS, showing stable   system   responses   almost   insensitive   to   large parameter variations.Our present study was performed using a GUI realized under MATLAB in our work.
The Effect of Social Media to the Brand Awareness of a Product of a Company Tritama, Hansel Bagus; Tarigan, Riswan Efendi
CommIT (Communication and Information Technology) Journal Vol 10, No 1 (2016): CommIT Vol. 10 No. 1 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i1.1667

Abstract

Social  media  is an online media, where the users can easily participate, share, and create any content such as banner,  posters, videos and advertisement.  Many companies  use these  social  media as  a tool to promote their products  and make  customers aware  with their brand. On the other hand, not all companies  succeed to market their products and make their products are at their customers’ awareness. The purpose of this research is to find the correlation  between social media commu- nication marketing  with companys brand awareness in social media.  The research  method for this research  is quantitative  research.  This method collects  data with explanative research type which explains the relationship between two variables. The result  of this research  is to show that marketing  communication in a company has an impact to company’s brand awareness. In addition, this research wants to show that marketing via social media can give impact  to company’s revenue. The summary of this research  is to get significant  information  about the effect of social media toward companys brand awareness through quantitative  and explanative  research  method due to the rising of social media.

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