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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 478 Documents
 15   16   17   18   19 
A Study of Customer Satisfaction on Online Trading System Application of Securities Company in Indonesia Using Servqual Hery, Hery; Tarigan, Riswan Efendi
CommIT (Communication and Information Technology) Journal Vol 9, No 1 (2015): CommIT Vol. 9 No. 1 Tahun 2015
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v9i1.1651

Abstract

The purpose of this study is to measure the service  quality of online trading system implemented by PT  KDB  Daewoo  Securities  Indonesia.  The study is  a part of the company  efforts to provide  the best solution  services. The study  is performed   to determine the influence of service quality  factors on the customer satisfaction by means of ServQual  method. The method takes  into account  five  independent  variables,  namely, reliability (X1 ),  responsiveness  (X2 ),  assurance  (X3 ), empathy (X4 ), and tangibility (X5 ). Meanwhile,  the cus- tomer satisfaction is considered as the dependent variable (Y ). The population of of the study  is all 67 900 online traders at the company and the sample size is 265 traders. The data are collected via questionnaires and interviews. From the study results, we conclude that the five variables have  significant  influence  on the customer  satisfaction on the online trading system application   at PT KDB Daewoo Securities Indonesia. To  improve  the customer satisfaction, the company  should prioritize the quality- related factors,  and expand  and upgrade  the existing facilities and infrastructures.
Interoperability and Reliability of Multiplatform MPLS VPN: Comparison of Traffic Engineering with RSVP-TE Protocol and LDP Protocol Ismail, Nanang; Zaki, Eki Ahmad; Arghifary, Muhamad
CommIT (Communication and Information Technology) Journal Vol 11, No 2 (2017): CommIT Vol. 11 No. 2 Tahun 2017
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i2.2105

Abstract

One of the alternatives to overcome network scalability problem and maintaining reliability is using MPLS VPN network. In reallity, the current network is already using a multiplatform of several different hardware vendors, i.e., Cisco and Juniper platforms. This paper discusses the comparison of the simulation results to see interoperability of multiplatform MPLS VPN andreliability through traffic engineering using RSVP-TE and LDP protocols. Both the RSVP and LDP protocols are tested on a stable network and in a recovery mode,as well as non-load conditions and with additional traffic load. The recovery mode is the condition after the failover due to termination of one of the links in the network. The no-load condition means that the network is not filled with additional traffic. There is only traffic from the measurement activity itself. While network conditions with an additional load are conditions where there is an additional UDP packet traffic load of 4.5 Mbps in addition to the measurement load itself. On a stable network and without additional traffic load, the average delay on LDP protocol is 59.41 ms, 2.06 ms jitter, 0.08% packetloss, and 8.99 Mbps throughput. Meanwhile, on RSVP protocol, the average delay is 52.40 ms, 2.39 ms jitter, 12.18% packet loss, and 7.80 Mbps throughput. When failover occurs and on recovery mode, LDP protocol is48% of packet loss per 100 sent packets while on RSVP packet loss percentage is 35.5% per 100 sent packets. Both protocols have interoperability on the third layer of multiplatform MPLS VPN, but on heavy loaded traffic condition, RSVP protocol has better reliability than the LDP protocol.
Face Recognition Performance in Facing Pose Variation Gunawan, Alexander Agung Santoso; Prasetyo, Reza A
CommIT (Communication and Information Technology) Journal Vol 11, No 1 (2017): CommIT Vol. 11 No. 1 Tahun 2017
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i1.1847

Abstract

There are many real world applications of face recognition which require good performance in uncontrolled environments such as social networking, and environment surveillance. However, many researches of face recognition are done in controlled situations. Compared to the controlled environments, face recognition in uncontrolled environments comprise more variation, for example in the pose, light intensity, and expression. Therefore, face recognition in uncontrolled conditions is more challenging than in controlled settings. In thisresearch, we would like to discuss handling pose variations in face recognition. We address the representation issue us ing multi-pose of face detection based on yaw angle movement of the head as extensions of the existing frontal face recognition by using Principal Component Analysis (PCA). Then, the matching issue is solved by using Euclidean distance. This combination is known as Eigenfaces method. The experiment is done with different yaw angles and different threshold values to get the optimal results. The experimental results show that: (i) the more pose variation of face images used as training data is, the better recognition results are, but it also increases the processing time, and (ii) the lower threshold value is, the harder it recognizes a face image, but it also increases the accuracy.
The Effects of E-Tourism to The Development of Tourism Sector in Indonesia Jonathan, Claresta Janice; Tarigan, Riswan
CommIT (Communication and Information Technology) Journal Vol 10, No 2 (2016): CommIT Vol. 10 No. 2 Tahun 2016
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v10i2.1669

Abstract

Indonesia is a nation that ethnically and culturally unique and diverse. It has potentials to leverage the growth of its tourism sector. The sector has become important to boost not only regional and also  nation- wide economic development. It can be growth further to a much larger scale by effectively utilising the pervasiveness of the information and communication technology (ICT). For example, ICT may facilitate the growth with e- tourism, which is an Internet-based marketing method. This work intends to understand the potential of using e-tourism and its effects on the development of  the  sector. Specifically, the study evaluates how the aspects  of marketing, business, and e-tourism are affected by the use of ICT and how they affect the growth of the tourism industry. A multivariate regression model is constructed to assess the case quantitatively. The empirical model suggests that the e-tourism may contribute the growth of the tourism sector by about 40%.
Geometric Model for Human Body Orientation Classification Ardiyanto, Igi
CommIT (Communication and Information Technology) Journal Vol 9, No 1 (2015): CommIT Vol. 9 No. 1 Tahun 2015
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v9i1.1659

Abstract

This  paper proposes  an approach  for cal- culating  and estimating  human body orientation  using geometric model. A novel framework integrating gradient shape and texture model of the human body orientation is proposed.  The gradient  is a natural way for describing the human  shapes, while the texture  explains the body characteristic. The framework  is then combined with the random  forest classifier to obtain a robust  class  differ- ence  of the human body orientation. Experiments and comparison results are provided to show the advantages of our system over state-of-the-art. For both modeled and un-modeled gradient-texture  features with random forest classifier, they achieve the highest accuracy on separating each human orientation   class, respectively  56.9% and 67.3% for TUD-Stadtmitte  dataset.
Development of Game for Self-Help Toilet Learning for Children with Autism Kurniawan, Rahadian; Purnamasari, Wuriandietry Mayang; Rakhmawati, Restu; Jalaputra, Dimas Panji Eka
CommIT (Communication and Information Technology) Journal Vol 12, No 1 (2018): CommIT Vol. 12 No. 1 Tahun 2018
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i1.4112

Abstract

This study aims to develop a video game for toilet training materials as a medium for self-help learning for children with autism. Toileting skill is one of the basic self-help skills that children should master. In fact, teaching new things to children with autism is challenging. It requires a proper method to deliver the materials to these children. One of the effective learning media to teach self-help is to use visual media like video games. By using video games, children are expected to play and learn self-help skills, particularly about toileting. In addition, the video game is developed by applying certain design principles that fit with the needs of children with autism. The software is tested for its functionalities. Moreover, an implementation test is done by using observation communication analysis. Based on the results, the researchers conclude that the developed video game has implemented the proper design and materials related to toileting in accordance with the needs of children with autism. The respondents show positive results for using the video game.
Study of User Acceptance and Satisfaction of a Mandatory Government-Regulated Information System Wibowo, Tony
CommIT (Communication and Information Technology) Journal Vol 11, No 1 (2017): CommIT Vol. 11 No. 1 Tahun 2017
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i1.3896

Abstract

This paper discusses the user acceptance of a mandatory government-regulated information system. The issue is investigated by using a modified UTAUTframework. From random sample data of 65 respondents, a regression model is established from which the conclusion is drawn. The study concludes that theaspects of performance expectancy, effort expectancy, social influence, and information system quality affect the user acceptance. The four aspects are equally important.
Influence Of Knowledge Sharing and Information Technology Innovation on Employees Performance at Batamindo Industrial Park Saragih, Saut Pin Tub Ipar; Harisno, Harisno
CommIT (Communication and Information Technology) Journal Vol 9, No 2 (2015): CommIT Vol. 9 No. 2 Tahun 2015
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v9i2.1657

Abstract

This study aims to measure the effects of knowledge sharing behavior and the level of informa- tion technology innovation on  employee  performance  on electronic manufacturing company located in Bata- mindo Industrial Park. In this article, the authors use research design methods that are associative through survey by distributing questionnaires to the respondents at random. Then, a mathematical model is established through multivariate regression where  the  interaction  of the  independent  variables  and  dependent  variable  is established. As the results, the study concludes that knowledge sharing behavior partially has no significant effects on employee performance but has significant effect on the level of information technology innovation to performance and simultaneously both variables have a significance effect to employee  performance.
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.
Performance of Clustering on ANFIS for Weather Forecasting Dewi, Candra
CommIT (Communication and Information Technology) Journal Vol 12, No 1 (2018): CommIT Vol. 12 No. 1 Tahun 2018
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i1.3941

Abstract

This paper proposes the comparison of using K-Means and Fuzzy C-Means (FCM) to optimize the premise parameters on Adaptive Neuro-Fuzzy Inference System (ANFIS) for weather forecasting. The ANFIS architecture groups each of the feature inputs in the first layer into three clusters, and uses three rules for the second layer. The comparison is performed based on the RMSE value and the number of iteration. The testing is done on the percentage of 40%, 50%, and 60% of the total data. In addition, the testing is done by grouping the data based on season called rainy and dry seasons. The testing results show that both K-Means and FCM havealmost the same RMSE, except for rainy season where K-Means has better RMSE. However, K-Means requires relatively more iterations to achieve convergence. The use of FCM, in general, gives better results than K-Means. It is also shown that ANFIS provides the best performance for data onto the dry season.

Page 17 of 48 | Total Record : 478

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