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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 7 Documents
 1 
Search results for , issue "Vol. 12 No. 1 (2018)" : 7 Documents clear
Research Methodology for Analysis of E-Commerce User Activity Based on User Interest using Web Usage Mining Saucha Diwandari; Adhistya Erna Permanasari; Indriana Hidayah
Journal of ICT Research and Applications Vol. 12 No. 1 (2018)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2018.12.1.4

Abstract

Visitor interaction with e-commerce websites generates large amounts of clickstream data stored in web access logs. From a business standpoint, clickstream data can be used as a means of finding information on user interest. In this paper, the authors propose a method to find user interest in products offered on e-commerce websites based on web usage mining of clickstream data. In this study, user interest was investigated using the PIE approach coupled with clustering and classification techniques. The experimental results showed that the method is able to assist in analyzing visitor behavior and user interest in e-commerce products by identifying those products that prompt visitor interest.
Sparse Signal Reconstruction using Weight Point Algorithm Koredianto Usman; Hendra Gunawan; Andriyan B. Suksmono
Journal of ICT Research and Applications Vol. 12 No. 1 (2018)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2018.12.1.3

Abstract

In this paper we propose a new approach of the compressive sensing (CS) reconstruction problem based on a geometrical interpretation of l1-norm minimization. By taking a large l1-norm value at the initial step, the intersection of l1-norm and the constraint curves forms a convex polytope and by exploiting the fact that any convex combination of the polytope's vertexes gives a new point that has a smaller l1-norm, we are able to derive a new algorithm to solve the CS reconstruction problem. Compared to the greedy algorithm, this algorithm has better performance, especially in highly coherent environments. Compared to the convex optimization, the proposed algorithm has simpler computation requirements. We tested the capability of this algorithm in reconstructing a randomly down-sampled version of the Dow Jones Industrial Average (DJIA) index. The proposed algorithm achieved a good result but only works on real-valued signals.
Emotion Recognition from Facial Expressions using Images with Pose, Illumination and Age Variation for Human-Computer/Robot Interaction Suja Palaniswamy; Shikha Tripathi
Journal of ICT Research and Applications Vol. 12 No. 1 (2018)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2018.12.1.2

Abstract

A technique for emotion recognition from facial expressions in images with simultaneous pose, illumination and age variation in real time is proposed in this paper. The basic emotions considered are anger, disgust, happy, surprise, and neutral. Feature vectors that were formed from images from the CMU-MultiPIE database for pose and illumination were used for training the classifier. For real-time implementation, Raspberry Pi II was used, which can be placed on a robot to recognize emotions in interactive real-time applications. The proposed method includes face detection using Viola Jones Haar cascade, Active Shape Model (ASM) for feature extraction, and AdaBoost for classification in real- time. Performance of the proposed method was validated in real time by testing with subjects from different age groups expressing basic emotions with varying pose and illumination. 96% recognition accuracy at an average time of 120 ms was obtained. The results are encouraging, as the proposed method gives better accuracy with higher speed compared to existing methods from the literature. The major contribution and strength of the proposed method lie in marking suitable feature points on the face, its speed and invariance to pose, illumination and age in real time.
An Inter-Processor Communication (IPC) Data Sharing Architecture in Heterogeneous MPSoC for OFDMA Trio Adiono; Rian Ferdian; Febri Dawani; Imran Abdurrahman; Rachmad Vidya Wicaksana Putra; Nur Ahmadi
Journal of ICT Research and Applications Vol. 12 No. 1 (2018)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2018.12.1.5

Abstract

Multiprocessor system-on-chip (MPSoC) promises better data management for parallel processing than conventional SoC. This feature is very suitable for wireless communication systems. Better data processing management can reduce resource utilization and can potentially reduce power consumption as well. Hence, this research aimed to minimize the orthogonal frequency-division multiple access (OFDMA) processing hardware by proposing a new data sharing architecture on a heterogeneous MPSoC platform that incorporates inter-processor communication (IPC), multi-processor, multi-bus, multi-frequency and parallel processing design of the medium access controller (MAC) layer. This MPSoC was designed based on a RISC processor with an AMBA multi-bus system. To achieve high throughput, the proposed MPSoC runs at two different frequencies, 40 MHz and 80 MHz. The proposed system was implemented and verified using FPGA. The verification results showed that the proposed system can work in real-time with a maximum throughput of 11 MBps using a 40 MHz system clock. The proposed MPSoC is a promising solution to perform OFDMA processing on 4G and 5G technologies.
Overcoming Alignment Problem in Non-Identical Mathematical Support Visual Cryptography Schemes Ari Moesriami Barmawi; Widhian Bramantya
Journal of ICT Research and Applications Vol. 12 No. 1 (2018)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2018.12.1.6

Abstract

An important problem in visual cryptography is the alignment problem. Although Liu, et al. have proposed a method for aligning the shares, there is still a problem with the non-identical mathematical support visual cryptography schemes. For overcoming this problem, the Three-Orthogonal-Point (3OP) method is proposed in this paper. Based on the experimental result it was proven that it can overcome the alignment problem, while the time complexity for aligning the shares is decreased significantly from O((m×A)2) to O(m×AI), for AI < A. The security is maintained, since an attacker cannot obtain any information related to the secret image.
Enhancing the Stability of the Improved-LEACH Routing Protocol for WSNs Ammar S. Al-Zubaidi; Ahmad Alauddin Ariffin; Abdulrahman K. Al-Qadhi
Journal of ICT Research and Applications Vol. 12 No. 1 (2018)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2018.12.1.1

Abstract

Recently, increasing battery lifetime in wireless sensor networks has turned out to be one of the major challenges faced by researchers. The sensor nodes in wireless sensor networks use a battery as their power source, which is hard to replace during deployment. Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the most prominent wireless sensor network routing protocols that have been proposed to improve network lifetime by utilizing energy-efficient clustering. However, LEACH has some issues related to cluster-head selection, where the selection is done randomly. This leads to rapid loss of energy in the network. Improved LEACH is a LEACH alternative that has the ability to increase network lifetime by using the nodes' residual energy and their distance to the base station to select cluster-head nodes. However, Improved LEACH causes reduced stability, where the stability period is the duration before the death of the first node. The network stability period is important for applications that require reliable feedback from the network. Thus, we were motivated to investigate the Improved LEACH algorithm and to try to solve the stability problem. A new protocol is proposed in this paper: Stable Improved Low Energy Adaptive Clustering Hierarchy (SILEACH), which was developed to overcome the flaws of the Improved LEACH protocol. SILEACH balances the load between the nodes by utilizing an optimized method that considers the nodes' distance to the base station and their residual energy to select the cluster-head nodes and considers the nodes' distance to the cluster head and the base station to form clusters. The simulation results revealed that SILEACH is significantly more efficient than Improved LEACH in terms of stability period and network lifetime.
Cover JICTRA Vol. 12 No. 1, 2018 Journal of ICT Research and Applications
Journal of ICT Research and Applications Vol. 12 No. 1 (2018)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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