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Contact Name
Nizirwan Anwar
Contact Email
nizirwan.anwar@esaunggul.ac.id
Phone
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Journal Mail Official
telkomnika@ee.uad.ac.id
Editorial Address
Ahmad Yani st. (Southern Ring Road), Tamanan, Banguntapan, Bantul, Yogyakarta 55191, Indonesia
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
TELKOMNIKA (Telecommunication Computing Electronics and Control)
ISSN : 16936930     EISSN : 23029293     DOI : 10.12928
Core Subject : Science,
Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of submissions that TELKOMNIKA has received during the last few months the duration of the review process can be up to 14 weeks. Communication Engineering, Computer Network and System Engineering, Computer Science and Information System, Machine Learning, AI and Soft Computing, Signal, Image and Video Processing, Electronics Engineering, Electrical Power Engineering, Power Electronics and Drives, Instrumentation and Control Engineering, Internet of Things (IoT)
Articles 48 Documents
Search results for , issue "Vol 14, No 2: June 2016" : 48 Documents clear
Research on Community Detection Algorithm Based on the UIR-Q Zilong Jiang; Wei Dai; Liangchen Chen; Xiufeng Cao; Yanling Shao
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.2685

Abstract

Aiming at the current problems of community detection algorithm in which user’s property is not used; the community structure is not stable and the efficiency of the algorithm is low, this paper proposes a community detection algorithm based on the user influence and its parallelization method. In terms of the concept of user influence in the subject communication and the PageRank algorithm, this paper uses the properties of nodes of users in social networks to form the user influence factors. Then, the user with the biggest influence is set as the initial node of new community and and the local modularity is introduced into detecting the community structure.  in order to make the result of community detection quick and efficient. Many experiments show that the improved algorithm can efficiently detect the community structure with large scale users and the results are stable. Therefore, this algorithm will have a wide applied prospect.
Hierarchical i* Modeling in Requirement Engineering Kridanto Surendro; Cicely Martini Asihwardji
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.3333

Abstract

Requirement engineering is the earliest phases of the development process of information systems in which there is a process to understand the needs of system users and formulate it into a format that facilitates the process of analysis. Requirement engineering approach through intentional perspective is one of the arguments that appear in the field. In intentional modeling, the focus will lie on the motive of every actor, how each actor can achieve their motives, and what dependencies present in order to achieve that motive. Some existing intentional modeling still has some limitations. Modeling is still having complexity problem when it will be used to model real-world situations that are quite large. Another disadvantage is how to describe the hierarchical conditions in intentional modeling. This research is to develop existing intentional modeling, in order to overcome limitations in describing the hierarchical conditions.
Fusion of Infrared and Visible Images Based on Non-subsample Contourlet Transform Tingman Zhang; Qing Wang
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.2749

Abstract

For the single spectrum image could not fully express the target feature information, this paper proposed a multispectral image fusion method based on non-subsample contourlet transform (NSCT). For the low frequency coefficients decomposed, fourth-order correlation coefficient is used to calculate the correlation between each low frequency coefficients, averaging fusion for the higher correlation coefficient, weight phase congruency fusion for the low correlation coefficient. For high frequency coefficients, Gaussian weight sum modified Laplace method is used for fusing, to retain more local structure details. Simulation results show that the method effectively retain the image structure information and more local details, and increase the image contrast.
Telemonitoring Temperature and Humidity at Bio-energy Process using Smart Phones Seno Darmawan Panjaitan; Novianda Fratama; Aryanto Hartoyo; Rudi Kurnianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.3498

Abstract

Bio-energy from biogas can be produced through anaerobic digestion of either organic solid waste or wastewater. Energy production process in the digester is however sometimes hard to be monitored due to manual measurement, otherwise it needs a high technology requiring a high cost budget. This paper presents a low cost technology to monitor the process by using Android based smart phones which can easily be integrated in human daily activity. A program was built by using Eclipse in order to give send/receive command to/from the hardware and display the measurement data on the registered smart phones. The measurement controller was put at the anaerobic digester to record temperature and Relative Humidity (RH) data to memory card and to transmit the data to smart phones. In the experiment with 20 data samples, mean errors were repectively -0.317 oC, 0.932 oC, and 1,378 % for temperature sensor LM35, and temperature and RH sensor using SHT11. Mean squared error for LM35 was 0.373 oC and for SHT11 was 1.117 oC and 2.629 % for temperature and RH respectively. The system has been also implemented in the real anaerobic digester. Electrical energy consumption was 0.623 Wh with 30 minutes cycle time and one minute sampling time.
Development of Coastal Radar Network at Sunda Strait Sulistyaningsih Sulistyaningsih; Mashury Wahab; Dadin Mahmudin; Deni Permana; Yudi Yulius Maulana; Topik Teguh Estu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.2497

Abstract

In this paper, development on a coastal surveillance Radar network, which is called ISRA (Indonesian Sea Radar), is presented. This Radar network was developed for surveillance at the Sunda Strait. The radar network monitors the sea traffics and activities at the Sunda Strait, which an international shipping route. There were three Radars installed for this network. All these Radars in this research use FM-CW (Frequency Modulated Continuous Wave) technology. This FM-CW has an advantage of low power consumption, low cost of operational, longer life time and high reliability. Another important feature of this Radar is the LPI (Low Probability of Intercept) capability, where the signal transmission of this Radar cannot be easily detected by a Radar detector (electronic support measure) so that this Radar can be used for a covert operation. Detected targets by Radars are shown on the display and on the web based display for the Radar network. These three Radars on the remote sites can be monitored and controlled via an internet connection from the control room in our Bandung office, which is 300 KMs away. The results of this research and development show the Indonesian capability to build a complex system such as a chain of coastal surveillance Radar network. The knowledge obtained from this research will be used to develop more advanced Radars for different applications.
A Novel Multifunction Digital Chip Design Based on CMOS Technology Zi-Ang Zhou; Wen-Bo Geng
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.3675

Abstract

The realization of an analog-to-digital-conversion chip has great significance in the applications of electronic products. By considering mature time–number digitization, a new multifunction digital chip with a long time delay was designed in this study on the basis of the principle of analog-to-time conversion (ATC) and the realization of long time delay. With additional resistance, capacitance, and transistors, this chip can easily realize ATC, monostable triggers, Schmitt triggers, and multivibrators. The circuit composition of this chip was analyzed, and every module design was introduced. According to the simulation result of Hspice and CSMC 2P2M CMOS (Complementary Metal Oxide Semiconductor) process database, the chip layout (1mm2) design was accomplished by using CSMC 2P2M CMOS technology. Finally, the designed chip was applied in multiproject wafer flow. The flow test demonstrated that this new chip can meet design goal and is applicable to various digital integrated chip designs as an IP (intellectual property) core.
Measurement and Evaluation of Tx/ Rx Antennas for X-Band Radar System Folin Oktafiani; Yuyu Wahyu; Yusuf Nur Wijayanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.3291

Abstract

This paper presents the performance evaluation of antennas for microwave transmission and reception in X-band radar systems. The transmitter (Tx) and receiver (Rx) antennas are fabricated on microstrip array structures. The antennas are connected to microwave circuits with transmission lines, coaxial cables, and microwave combiners and splitters. The designed antennas in X-band microwave operation for Tx and Rx parts were fabricated identically by 4x64 microstrip patch antennasin an array structure. The fabricated antennas were measured for return loss (S11), VSWR, radiation pattern, and Gain. The detail methods for the measurements are reported and their results are also discussed. The measured antenna gain of ~20dBi, and beam-width of ~20degreecan be obtained using the fabricated antennas at 9.4GHz microwave operation.
Features Deletion on Multiple Objects Recognition using Speeded-Up Robust Features, Scale Invariant Feature Transform and Randomized KD-Tree Samuel Alvin Hutama; Saptadi Nugroho; Darmawan Utomo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.3461

Abstract

This paper presents a multiple objects recognition method using speeded-up robust features (SURF) and scale invariant feature transform (SIFT) algorithm. Both algorithms are used for finding features by detecting keypoints and extracting descriptors on every object. The randomized KD-Tree algorithm is then used for matching those descriptors. The proposed method is deletion of certain features after an object has been registered and repetition of successful recognition. The method is expected to recognize all of the registered objects which are shown in an image. A series of tests is done in order to understand the characteristic of the recognizable object and the method capability to do the recognition. The test results show the accuracy of the proposed method is 97% using SURF and 88.7% using SIFT.

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