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IJoICT (International Journal on Information and Communication Technology)
Published by Universitas Telkom
ISSN : -     EISSN : 23565462     DOI : -
Core Subject : Science,
Computer Science & IT
International Journal on Information and Communication Technology (IJoICT) is a peer-reviewed journal in the field of computing that published twice a year; scheduled in December and June.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2016): December 2016" : 5 Documents clear
Improving Network Security - A Comparison between nDPI and L7-Filter Gandeva Bayu Satrya; Faiizal Eko Nugroho; Tri Brotoharsono
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.22.77

Abstract

The classification of data traffic in a firewall using parameters such as port number, IP address, and MAC address is not sufficient. For example, currently, many applications can be used without a port number meaning they can easily circumvent a firewall. Firewalls inspecting up to only layer four could allow malicious data to pass. Next-generation deep packet inspection (DPI) is a method that can be used for firewalls as a method of classification up to layer seven in data traffic control.This research recommends the use of nDPI and L7-filter by network administrators on existing open source firewalls. Eleven internet applications were used to test and analyze nDPI and L7-filter which are capable of detecting traffic based on the data signature. nDPI and L7-filter were tested for accuracy and speed. We conclude that the development of next-generation deep packet inspection is important for the future of system and network security.
Comparative Study between Parallel K-Means and Parallel K-Medoids with Message Passing Interface (MPI) Fhira Nhita
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.22.86

Abstract

Data mining is a combination technology for analyze a useful information from dataset using some technique such as classification, clustering, and etc. Clustering is one of the most used data mining technique these day. K-Means and K-Medoids is one of clustering algorithms that mostly used because it’s easy implementation, efficient, and also present good results. Besides mining important information, the needs of time spent when mining data is also a concern in today era considering the real world applications produce huge volume of data. This research analyzed the result from K-Means and K-Medoids algorithm and time performance using High Performance Computing (HPC) Cluster to parallelize K-Means and K-Medoids algorithms and using Message Passing Interface (MPI) library. The results shown that K-Means algorithm gives smaller SSE than K-Medoids. And also parallel algorithm that used MPI gives faster computation time than sequential algorithm.
CO2 Monitoring System Prototype using Wireless Sensor Network Hanif Arief Wisesa
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.22.127

Abstract

An abstract of no more than 200 words should state the purposes of the study, procedures, findings and conclusions. It should be written in Times New Roman with font size of 9. Abstract should be followed by four to eight key words to assist cross-indexing. The key words should be ordered alphabetically and separated by commas. For your paper to be published in the journal, you must use this document as both an instruction set and as a template into which you can type your own text. If your paper does not conform to the required format, you will be asked to fix it. In the paper, authors are suggested to present their articles in the sections structure: Introduction - Previous Study/Literature Review - The Proposed Method/Algorithm/Procedure specifically designed (optional) - Research Method Results and Discussion - Conclusion. Authors may present complex proofs of theorems or non-obvious proofs of correctness of algorithms after introduction section (obvious theorems and straightforward proofs of existing theorems are not needed). 
Fuzzy Latent-Dynamic Conditional Neural Fields for Gesture Recognition in Video Intan Nurma Yulita; Mohamad Ivan Fanany; Aniati Murni Arymurthy
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.22.124

Abstract

With the explosion of data on the internet led to the presence of the big data era, so it requires data processing in order to get the useful information. One of the challenges is the gesture recognition the video processing. Therefore, this study proposes Latent-Dynamic Conditional Neural Fields and compares with the other family members of Conditional Random Fields. To improve the accuracy, these methods are combined by using Fuzzy Clustering. From the result, it can be concluded that the performance of Latent-Dynamic Conditional Neural Fields are  lower than Conditional Neural Fields but higher than the Conditional Random Fields and Latent-Dynamic Conditional Random Fields. Also, the combination of Latent-Dynamic Conditional Neural Fields and Fuzzy C-Means Clustering has the highest. This evaluation is tested in a temporal dataset of gesture phase segmentation.
Upwelling Solution Prototype Using Wireless Sensor Network Novian Anggis Suwastika; Sidik Prabowo; Bayu Erfianto
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.22.128

Abstract

One of the problems in the freshwater fisheries sector is the phenomenon of upwelling can occur anytime without warning signs, especially in lakes and lake. This problem causes a failed harvest and fish farming business owners suffered a great loss due to the death of fish in large numbers. Upwelling caused by toxic substances results increased nitrification from fish feces and remaining fish feed deposited at the bottom of the Lake and rises to the surface quickly. Ammonia (NH3) in the form of ionized causing no fish that are on the surface of the Lake is not enough oxygen to meet the needs of hemoglobin, so cannot bind oxygen or lack of dissolved oxygen (DO). The condition causes the death of the fish very much. This research built a monitoring system to monitor the condition of the temperature at the surface and at the underwater of the lake and to monitor DO levels to check the possibility of upwelling. Temperature sensor and DO sensor connect with microcontroller and . The results of experiment system on the area fish farms (karamba) and not the area fish farms, obtained the test results are accurate and real time.

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