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Journal of ICT Research and Applications
Published by Institut Teknologi Bandung
ISSN : 23375787     EISSN : 23385499     DOI : https://doi.org/10.5614/itbj.ict.res.appl.
Core Subject : Science,
Computer Science & IT
Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 6 Documents
 1 
Search results for , issue "Vol. 9 No. 3 (2015)" : 6 Documents clear
Design of Chebychev’s Low Pass Filters Using Nonuniform Transmission Lines Said Attamimi; Mudrik Alaydrus
Journal of ICT Research and Applications Vol. 9 No. 3 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.9.3.1

Abstract

Transmission lines are utilized in many applications to convey energy as well as information. Nonuniform transmission lines (NTLs) are obtained through variation of the characteristic quantities along the axial direction. Such NTLs can be used to design network elements, like matching circuits, delay equalizers, filters, VLSI interconnections, etc. In this work, NTLs were analyzed with a numerical method based on the implementation of method of moment. In order to approximate the voltage and current distribution along the transmission line, a sum of basis functions with unknown amplitudes was introduced. As basis function, a constant function was used. In this work, we observed several cases such as lossless and lossy uniform transmission lines with matching and arbitrary load. These cases verified the algorithm developed in this work. The second example consists of nonuniform transmission lines in the form of abruptly changing transmission lines. This structure was used to design a Chebychev’s low pass filter. The calculated reflection and transmission factors of the filters showed some coincidences with the measurements.
Evaluating e-Government and Good Governance Correlation Suhardi Suhardi; Alfira Sofia; Agustinus Andriyanto
Journal of ICT Research and Applications Vol. 9 No. 3 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.9.3.3

Abstract

Assessing the achievement of Indonesian government institutions in implementing e-government has been conducted since around a decade ago. Several national assessments are available with almost the same ranking results. There is an agreement that the ultimate goal of e-government implementation is to achieve good government governance (GGG), while success stories of e-government require good governance practices. This study explored the correlation between e-government achievement and GGG achievement in Indonesia. Spearman's rank correlation was used to characterize the relationship strength between e-government assessment results and good governance assessment results. The data were collected from institutions that participated in e-government and good governance assessments. The results showed that the correlation between these two entities is not very strong. Most cases showed that e-government implementation and the achievement of good governance have only a moderate positive correlation and none of the studied cases indicated a significant connection. This result can be attributed to the lack of emphasis on goals achievement in the assessments. Thus, it is recommended that future Indonesian e-government assessments should involve impact indicators.
Ultrafast and Efficient Scalable Image Compression Algorithm Ali Kadhim Jaber Al-Janabi
Journal of ICT Research and Applications Vol. 9 No. 3 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.9.3.2

Abstract

Wavelet-based image compression algorithms have good performance and produce a rate scalable bitstream that can be decoded efficiently at several bit rates. Unfortunately, the discrete wavelet transform (DWT) has relatively high computational complexity. On the other hand, the discrete cosine transform (DCT) has low complexity and excellent compaction properties. Unfortunately, it is non-local, which necessitates implementing it as a block-based transform leading to the well-known blocking artifacts at the edges of the DCT blocks. This paper proposes a very fast and rate scalable algorithm that exploits the low complexity of DCT and the low complexity of the set partitioning technique used by the wavelet-based algorithms. Like JPEG, the proposed algorithm first transforms the image using block-based DCT. Then, it rearranges the DCT coefficients into a wavelet-like structure. Finally, the rearranged image is coded using a modified version of the SPECK algorithm, which is one of the best well-known wavelet-based algorithms. The modified SPECK consumes slightly less computer memory, has slightly lower complexity and slightly better performance than the original SPECK. The experimental results demonstrated that the proposed algorithm has competitive performance and high processing speed. Consequently, it has the best performance to complexity ratio among all the current rate scalable algorithms.
Disaster Recovery Framework for Commercial Banks in Sri Lanka Mueen Uddin; Sandun Hapugoda; Roop Chand Hindu
Journal of ICT Research and Applications Vol. 9 No. 3 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.9.3.4

Abstract

The banking sector is the backbone of the entire financial economy of a country. In today's globalized world, most organizations use online transaction processing systems for transferring money and doing business. Natural or man-made disasters can lead to data loss which in turn can cause millions of dollars of money lost. This study focuses on disaster recovery practices in commercial banks in Sri Lanka. From our preliminary findings, it was concluded that commercial banks only have ad-hoc disaster recovery standards and practices, as there is no standard framework available. Fourteen (14) banks were selected for data collection and relevant authorities were interviewed. The results were translated as qualitative observations to understand the best practices. Similarly, international standards, compliance requirements of the central bank, and existing researches were used to develop a disaster recovery practice framework. The proposed framework was then validated for its efficiency and usefulness among commercial banks and found to be acceptable by the banking industry.  
Rhetorical Sentences Classification Based on Section Class and Title of Paper for Experimental Technical Papers Afrida Helen; Ayu Purwarianti; Dwi H. Widyantoro
Journal of ICT Research and Applications Vol. 9 No. 3 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.9.3.5

Abstract

Rhetorical sentence classification is an interesting approach for making extractive summaries but this technique still needs to be developed because the performance of automatic rhetorical sentence classification is still poor. Rhetorical sentences are sentences that contain rhetorical words or phrases. Rhetorical sentences not only appear in the contents of a paper but also in the title. In this study, features related to section class and title class that have been proposed in a previous research were further developed. Our method uses different techniques to reach automatic section class extraction for which we introduce new, format-based features. Furthermore, we propose automatic rhetoric phrase extraction from the title. The corpus we used was a collection of technical-experimental scientific papers. Our method uses the Support Vector Machine (SVM) algorithm and the Naïve Bayesian algorithm for classification. The four categories used were: Problem, Method, Data, and Result. It was hypothesized that these features would be able to improve classification accuracy compared to previous methods. The F-measure for these categories reached up to 14%. 
Cover JICTRA Vol. 9 No. 3, 2015 Journal of ICT Research and Applications
Journal of ICT Research and Applications Vol. 9 No. 3 (2015)
Publisher : LPPM ITB

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Abstract

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