cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nizirwan Anwar
Contact Email
nizirwan.anwar@esaunggul.ac.id
Phone
-
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)
Published by Universitas Ahmad Dahlan
ISSN : 16936930     EISSN : 23029293     DOI : 10.12928
Core Subject : Science,
Computer Science & IT
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)
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 2,614 Documents
 58   59   60   61   62 
Clustering analysis of learning style on anggana high school student Siti Lailiyah; Ekawati Yulsilviana; Reza Andrea
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.9101

Abstract

The inability of students to absorb the knowledge conveyed by the teacher is’nt caused by the inability of understanding and by the teacher which isn’t able to teach too, but because of the mismatch of learning styles between students and teachers, so that students feel uncomfortable in learning to a particular teacher. It also happens in senior high school (SHS/SMAN) 1 Anggana, so it is necessary to do this research, to analyze cluster (group) of student learning style by applying data mining method that is k-Means and Fuzzy C-Means. The purpose was to know the effectiveness of this learning style cluster on the development of absorptive power and improving student achievement. The method used to cluster the learning style with data mining process starts from the data cleaning stage, data selection, data transformation, data mining, pattern evolution, and knowledge development.
Investigation on EM radiations from interconnects in integrated circuits Lounas Belhimer; Arezki Benfdila; Ahcene Lakhlef
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 1: February 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i1.13130

Abstract

Characterization and estimation of interconnections behavior in integrated circuits design before the implementation phase is of paramount importance. This behavior seen as microstrip antennas gets complex as the internal signal (square or sine waves) frequencies increase. Thus, they become the preferred path for the propagation of electromagnetic disturbances. In this work we have worked out the numerical modeling of the electromagnetic interactions characterizing the electromagnetic compatibility in the microstrip transmission lines. The effect of these electromagnetic interactions in different structures topologies are studied through the analysis of the influence of the supply signals frequency and structures. The spacing between transmission line tracks and the number of tracks superposition is modeled. The evolution and variation of the scheme parameters in the frequency domain are determined. The transmission lines are considered parallel of equal spacing and superposed tracks of equal spacing and thickness. The capacitance and inductance matrices are computed and discussed. The results are found to comply with current research outcomes.
SWANSTAT: a user-friendly web application for data analysis using shinydashboard package in R Rizal Bakri; Bagus Sartono; Hazan Azhari Zainuddin; Laode Ahmad Sabil
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.14182

Abstract

SWANSTAT is a user-friendly web application and free license that developed from the R programming language using shinydashboard Package. This research aims to create SWANSTAT was to streamline the routine workflow of data analysis so that users who are unfamiliar with R can perform the analysis interactively in a web browser with a cloud computing using a shiny server. The software development method used in this study is the SDLC with the waterfall model. The result of this research is the SWANSTAT software was developed using R by combining various packages and can be accessed online through various types of browsers on http://apps.swanstatistics.com. Besides, SWANSTAT consist of various features including the best visualization, the basis of statistical methods, help documents and tutorials. This research will continuously develop this application by enriching the latest statistical method, as well as improving the quality of features for data science needs.
Comparison of two methods on vector space model for trust in social commerce Hla Sann Sint; Khine Khine Oo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 3: June 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i3.18150

Abstract

The study of dealing with searching information in documents within web pages is Information retrieval (IR). The user needs to describe information with comments or reviews that consists of a number of words. Discovering weight of an inquiry term is helpful to decide the significance of a question. Estimation of term significance is a basic piece of most information retrieval approaches and it is commonly chosen through term frequency-inverse document frequency (TF-IDF). Also, improved TF-IDF method used to retrieve information in web documents. This paper presents comparison of TF-IDF method and improved TF-IDF method for information retrieval. Cosine similarity method calculated on both methods. The results of cosine similarity method on both methods compared on the desired threshold value. The relevance documents of TF-IDF method are more extracted than improved TF-IDF method.
Implementation of Maximum Power Point Tracking on Photovoltaic Using Fuzzy Logic Algorithm Arton Johan Lubis; Erwin Susanto; Unang Sunarya
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 1: March 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i1.131

Abstract

Most energy sources that are commonly used in the world today are from fossils. This kind of energy is unrenewable and limited. Use of solar panels (Photovoltaic, PV) to generate electricity is growing fast and it can be used as an alternative energy instead of fossils. The problem faced by use of solar panels is that the generated power is not optimum for a particular load. It is always changing and influenced by the level of light (irradiance) and temperature. Therefore we need a way to maximize the power output of solar panels. Maximum Power Point Tracking (MPPT) is a method for finding its maximum power point. In this research, the MPPT is designed to locate the point of generated maximum power on solar panels. MPPT controller designed in this research is using fuzzy logic. The voltage and current from the solar panels will be fed to the fuzzy logic controller. The output of fuzzy logic in the form of a pulse width modulation (PWM) signal regulates the process of switching boost converter. Experimental results show that output power from PV increase 15.9% and the efficiency of designed boost converter ranges in approximatelly 90.97 %
Developing Distributed System with Service Resource Oriented Architecture Hermawan Hermawan; Riyanarto Sarno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 2: June 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i2.815

Abstract

 Service oriented architecture (SOA) is a design paradigm in software engineering for an enterprise scale which built in a distributed system environment. This paradigm aims at abstracting of application functionality as a service through a protocol in web service technology, namely simple object access protocol (SOAP). However, SOAP have static characteristic and oriented by the service methode, so have restrictiveness on creating and accessing for big numbers of service. For this reason, this reasearch aims at combining SOA with resource oriented architecture (ROA) that is oriented by the service resource use representational state transfer (REST) protocol in order to expand scalability of service. This combination is namely service resource oriented architecture (SROA). SROA can optimize distributing of applications and integrating of services where is implemented to develop the project management software. To realize this model, the software is developed according with framework of Agile model driven development (AMDD) to reduce complexities on the whole stage processing of software development.
Image Deblurring via an Adaptive Dictionary Learning Strategy Lei Li; Ruiting Zhang; Jiangmin Kan; Wenbin Li
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 4: December 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i4.532

Abstract

Recently, sparse representation has been applied to image deblurring. The dictionary is the fundamental part of it and the proper selection of dictionary is very important to achieve super performance. The global learned dictionary might achieve inferior performances since it could not mine the specific information such as the texture and edge which is contained in the blurred image. However, it is a computational burden to train a new dictionary for image deblurring which requires the whole image (or most parts) as input; training the dictionary on only a few patches would result in over-fitting. To address the problem, we instead propose an online adaption strategy to transfer the global learned dictionary to a specific image. In our deblurring algorithm, the sparse coefficients, latent image, blur kernel and the dictionary are updated alternatively. And in every step, the global learned dictionary is updated in an online form via sampling only a few training patches from the target noisy image. Since our adaptive dictionary exploits the specific information, our deblurring algorithm shows superior performance over other state-of-the-art algorithms. 
High Performance Computing on Cluster and Multicore Architecture Ahmad Ashari; Mardhani Riasetiawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2156

Abstract

High Performance Computing have several issues on architecture, resources, computational model and data. The challenge is establishing the mature architecture with scalable resources. The cluster architecture and multicore architecture implement to produce high performance on computation and process. This research works on architecture development and performance analysis. The cluster architecture build on Raspberry Pi, a single board computer, implement MPICH2. Raspberry Pi cluster build on Raspbian Wheezy operating system and test by metrics computation applications. The multicore architecture build on single computer with Core i5 and Core i7 architecture. The research use himeno98 and himeno16Large tools to analysis the processor and memory allocation. The test run on 1000x1000 matrices and benchmarked with OpenMP. The analysis focuses on CPU Time, FLOPS, and score. The result show on cluster architecture have 2576,07 sec in CPU Time, 86,96 MLPOS, and 2,69 score. The result on Core i5 architecture have 55,57 sec in CPU time, 76,30 MLOPS, and 0,92 score. The result in Core i7 architecture have 59,56 sec CPU Time, 1427,61 MLOPS, and 17,23 score. The cluster and multicore architecture results show that computing process are effected by architecture models. High performance computing architecture that has been built on this result can give learn on the development of HPC architecture models, and baseline performance. In the future it will use for determine the delivery architecture model on HPC and can be test by more variation of load.
Audio Spike Detection on Gamelan using Envelope Shape Pattern Analysis Solekhan Solekhan; Yoyon K Suprapto; Wirawan Wirawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 4: December 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i4.4012

Abstract

Spike detection is important for the analysis of gamelan signal processing, in detecting the onset, transcription, and spikes occur on gamelan percussion instruments. Since the current methods: absolute value and NEO, could not detect spikes properly, we proposed to develop a new spike detection method. In this paper, the early stage of spike detection in gamelan music audio was the determination of the peak signal to obtain the form of a signal pattern (envelope like) which was then used as threshold for determining the spike locations. We also demonstrated the effectiveness of their method using shape pattern analysis to detect spikes.
Zakah Management System Using Approach Classification Zulfajri Basri Hasanuddin; Syafruddin Syarif; Darniati Darniati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.5640

Abstract

The often problematic faced by Muslims are lack of understanding in calculating Zakah and determining the feasibility of compliant recipients based on Islamic Shari'a. This study aimed to establish Zakah management system to support calculation process based on Al Qaradhawi method, helping Board of Zakah in distributing Zakah funds to mustahik. The algorithm used for the classification of Zakah recipients is Naive Bayes. The classification was combination of discrete and continuous data which is conducted by experiments using feasible and unfeasible data as a novelty approach. The results have shown that the Naive Bayes method could solve the problem with 85% of average.

Page 60 of 262 | Total Record : 2614

 58   59   60   61   62 

Filter by Year

2004 2022


Reset
Filter By Issues
All Issue Vol 20, No 3: June 2022 Vol 20, No 2: April 2022 Vol 20, No 1: February 2022 Vol 19, No 6: December 2021 Vol 19, No 5: October 2021 Vol 19, No 4: August 2021 Vol 19, No 3: June 2021 Vol 19, No 2: April 2021 Vol 19, No 1: February 2021 Vol 18, No 6: December 2020 Vol 18, No 5: October 2020 Vol 18, No 4: August 2020 Vol 18, No 3: June 2020 Vol 18, No 2: April 2020 Vol 18, No 1: February 2020 Vol 17, No 6: December 2019 Vol 17, No 5: October 2019 Vol 17, No 4: August 2019 Vol 17, No 3: June 2019 Vol 17, No 2: April 2019 Vol 17, No 1: February 2019 Vol 16, No 6: December 2018 Vol 16, No 5: October 2018 Vol 16, No 4: August 2018 Vol 16, No 3: June 2018 Vol 16, No 2: April 2018 Vol 16, No 1: February 2018 Vol 15, No 4: December 2017 Vol 15, No 3: September 2017 Vol 15, No 2: June 2017 Vol 15, No 1: March 2017 Vol 14, No 4: December 2016 Vol 14, No 3: September 2016 Vol 14, No 2: June 2016 Vol 14, No 1: March 2016 Vol 13, No 4: December 2015 Vol 13, No 3: September 2015 Vol 13, No 2: June 2015 Vol 13, No 1: March 2015 Vol 12, No 4: December 2014 Vol 12, No 3: September 2014 Vol 12, No 2: June 2014 Vol 12, No 1: March 2014 Vol 11, No 4: December 2013 Vol 11, No 3: September 2013 Vol 11, No 2: June 2013 Vol 11, No 1: March 2013 Vol 10, No 4: December 2012 Vol 10, No 3: September 2012 Vol 10, No 2: June 2012 Vol 10, No 1: March 2012 Vol 9, No 3: December 2011 Vol 9, No 2: August 2011 Vol 9, No 1: April 2011 Vol 8, No 3: December 2010 Vol 8, No 2: August 2010 Vol 8, No 1: April 2010 Vol 7, No 3: December 2009 Vol 7, No 2: August 2009 Vol 7, No 1: April 2009 Vol 6, No 3: December 2008 Vol 6, No 2: August 2008 Vol 6, No 1: April 2008 Vol 5, No 3: December 2007 Vol 5, No 2: August 2007 Vol 5, No 1: April 2007 Vol 4, No 3: December 2006 Vol 4, No 2: August 2006 Vol 4, No 1: April 2006 Vol 3, No 3: December 2005 Vol 3, No 2: August 2005 Vol 3, No 1: April 2005 Vol 2, No 1: April 2004 More Issue