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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
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Asynchronous agent-based simulation and optimization of parallel business Aziz Fajar; Riyanarto Sarno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 4: August 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i4.10846

Abstract

A Port Container Terminal (PCT) involves complex business processes which are carried out by at least four organizations, namely PCT Operator, Customer, Quarantine and Customs. Each organization produces event log data from the activities. The event log data from the four organizations contain synchronous and asynchronous activities. In this research, the four organizations are represented by four agents. By simulating this log data using agent based simulation, we get the performance of the current business process. The performance indicators gathered are time and cost which are needed to do the activity (task). After the simulation is complete, we found Asynchronous Waiting Time (AWT). AWT is waiting time which happens because the agent in the simulation cannot do the newly assigned task because the agent is still working on the other task. Therefore, we parallelize the task performed by the agent so that the agent can do multiple tasks at a time. After we parallelize the task, we perform an optimization process using Stochastic Multicriteria Adaptability Analysis 2 (SMAA-2). Thus, the optimal amount of task an agent can do simultaneously is analyzed. This study result shows that parallelization can reduce AWT of the current system and the optimization process using SMAA-2 shows the most optimal number of multiple tasks an agent can do simultaneously.
Face recognition based on curvelets, invariant moments features and SVM Mohammed Talal Ghazal; Karam Abdullah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14106

Abstract

Recent studies highlighted on face recognition methods. In this paper, a new algorithm is proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and Invariant Moments with Support vector machine (SVM), which improves rate of face recognition in various situations. The reason of using this approach depends on two things. first, Curvelet transform which is a multi-resolution method, that can efficiently represent image edge discontinuities; Second, the Invariant Moments analysis which is a statistical method that meets with the translation, rotation and scale invariance in the image. Furthermore, SVM is employed to classify the face image based on the extracted features. This process is applied on each of ORL and Yale databases to evaluate the performance of the suggested method. Experimentally, the proposed method results show that our system can compose efficient and reasonable face recognition feature, and obtain useful recognition accuracy, which is able to face and side-face states detection of persons to decrease fault rate of production.
Potentials of solar power plant in Waru Tua Ain Sahara; Riza Hadi Saputra; A. M. Miftahul Huda
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 6: December 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i6.15763

Abstract

Penajam Paser Utara Regency is located on the coast of East Kalimantan Province. This regency has a huge solar resource potential, but the agreement in this regency still lacks electricity networks and can be resolved by the people in this regency still in dire need of electricity for street lighting, and daily electricity needs. One of them is in the village of Waru Tua, where this area is in great need of lighting in the dock area because it requires residents to make Aliving as a fisherman. Waru Tua really needs electricity for lighting at night Waru Tua Pier because it has to be a gathering place for residents before going to sea to prepare everything that must be prepared before going to sea. Discussing the research carried out examining the potential of solar power in Waru Tua. Based on existing considerations, and the potential proposed by the area, the method used is to measure the sunlight at Waru Tua Pier using Luxmeter, then the data is processed using the Simulink applicationin MATLAB to obtain the value of the amount of sunlight in the area, which is 16 KW with a total solar cell of 250 Wp.
Efficiency of Polymer Electrolyte Membrane Fuel Cell Stack Agung Prayitno; Olive Kubumwe; Hans Bosma; Edwin Tazelaar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 2: August 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i2.701

Abstract

This paper applies a feedforward control of optimal oxygen excess ratio that maximize net power (improve efficiency) of a NedStack P8.0-64 PEM fuel cell stack (FCS) system. Net powers profile as a function of oxygen excess ratio for some points of operation are analyzed by using FCS model. The relationships between stack current and the corresponding control input voltage that gives an optimal oxygen excess ratio are used to design a feedforward control scheme. The results of this scheme are compared to the results of a feedforward control using a constant oxygen excess ratio. Simulation results show that optimal oxygen excess ratio improves fuel cell performance compared to the results of constant oxygen excess ratio. The same procedures are performed experimentally for the FCS system. The behaviour of the net power of the fuel cell stack with respect to the variation of oxygen excess ratio is analyzed to obtain optimal values. Data of stack current and the corresponding voltage input to the compressor that gives optimal values of oxygen excess ratio are used to develop a feedforward control.  Feedforward control based on constant and optimal oxygen excess ratio control, are implemented in the NedStack P8.0-64 PEM fuel cell stack system by using LabVIEW. Implementation results shows that optimal oxygen excess ratio control improves the fuel cell performance compared to the constant oxygen excess ratio control.
Publications Repository Based on OAI-PMH 2.0 Using Google App Engine Hendra Hendra; Jimmy Jimmy
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.14

Abstract

Online publication of scientific papers by the colleges aims to improve the dissemination and access by the public and the industry to the research result. OAI-PMH standard 2.0 is a protocol that allows the publication metadata exposed by a data provider can be harvested online by a service provider without any human intervention . A publication portal that is equipped with metadata exposure will increase the access and wider spread through the services provider. This study aims to developing a publications repository application completed with meta data exposure facility based on OAI-PMH 2.0 that running on Google App Engine. Google App Engine is a PaaS service provided by Google. Application development is done using SDLC approach, and using OOAD at the analysis and design phases. The purpose of the application is to publish scientific papers by lecturers at STMIK IBBI named Portal Garuda STMIK IBBI. Based on the results of testing using OAI-PMH Validator, BASE OAI-PMH Validator, and successful registration of portal Garuda STMIK IBBI in OpenArchive.org, OpenDOAR, and the ROAR, as well as the result rating reaching 95% by WebArchivability, it is believed that the application is complies with OAI-PMH standard 2.0 and the W3C standard. By implementation of the application will help higher education institutions meet the obligations of the scientific paper publication that can be accessed online as well as letter of Dikti number 2050/ET/2011.
DETEKSI API REAL-TIME DENGAN METODE THRESHOLDING RERATA RGB Kartika Firdausy; Yusron Saudi; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 5, No 2: August 2007
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v5i2.1352

Abstract

Kebakaran di hutan maupun pemukiman mengakibatkan kerugian material maupun korban jiwa. Pendeteksian dini terhadap kebakaran merupakan salah satu upaya mengurangi kerugian tersebut. Pada penelitian ini akan dilakukan simulasi pendeteksian dini sumber api yang berasal dari lilin. Metode penelitian yang dilakukan adalah dengan pengambilan citra api secara real-time menggunakan webcam dan kemudian melakukan thresholding, sehingga diperoleh citra yang hanya mempunyai dua nilai derajad keabuan, dan selanjutnya dicari nilai rerata RGB untuk dibandingkan dengan nilai range acuan yang ada di database untuk menentukan apakah citra yang ditangkap webcam berupa api atau bukan. Hasil penelitian menunjukkan bahwa tingkat keberhasilan sistem deteksi api yang dirancang adalah 100 % dapat mendeteksi ada dan tidaknya api pada variasi jarak api ketika background-nya homogen.
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.
An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification Mohammed Falah Mohammed; Taha H. Rassem
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6149

Abstract

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexAn ensemble of Enhanced Fuzzy Min Max (EFMM) neural networks for data classification is proposed in this paper.  The certified belief in strength (CBS) method is used to formulate the ensemble EFMM model, with the aim to improve the performance of individual EFMM networks.  The CBS method is used to measure trustworthiness of each individual EFMM network based on its reputation and strength indicators.  Trust is built from strong elements associated with the EFMM network, allowing the CBS method to improve the performance of the ensemble model. An auction procedure based on the first-price sealed-bid scheme is adopted for determining the winning EFMM network in undertaking classification tasks. The effectiveness of the ensemble model is demonstrated using a number of benchmark data sets. Comparing with the existing EFMM networks, the proposed ensemble model is able to improve classification accuracy rates in the empirical study.
Driver Behaviour State Recognition based on Speech Norhaslinda Kamaruddin; Abdul Wahab Abdul Rahman; Khairul Ikhwan Mohamad Halim; Muhammad Hafiq Iqmal Mohd Noh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.8416

Abstract

Researches have linked the cause of traffic accident to driver behavior and some studies provided practical preventive measures based on different input sources. Due to its simplicity to collect, speech can be used as one of the input. The emotion information gathered from speech can be used to measure driver behavior state based on the hypothesis that emotion influences driver behavior. However, the massive amount of driving speech data may hinder optimal performance of processing and analyzing the data due to the computational complexity and time constraint. This paper presents a silence removal approach using Short Term Energy (STE) and Zero Crossing Rate (ZCR) in the pre-processing phase to reduce the unnecessary processing. Mel Frequency Cepstral Coefficient (MFCC) feature extraction method coupled with Multi-Layer Perceptron (MLP) classifier are employed to get the driver behavior state recognition performance. Experimental results demonstrated that the proposed approach can obtain comparable performance with accuracy ranging between 58.7% and 76.6% to differentiate four driver behavior states, namely; talking through mobile phone, laughing, sleepy and normal driving. It is envisaged that such approach can be extended for a more comprehensive driver behavior identification system that may acts as an embedded warning system for sleepy driver.
Statistical Tuning Chart for Mapping Porosity Thickness: a Case Study of Channel Sand Bodies in the Kutei Basin Reservoir Abdul Haris; Agus Riyanto; Sri Mardiyati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.9660

Abstract

Reservoir assessment is not only controlled by the structural framework but also stratigraphical features. Stratigraphical interpretation, which is related to seismic amplitude interpretation, is used to describe petrophysical aspects of channel sand reservoirs such as net porosity and thickness. This paper aims to map the porosity thickness for a case study of channel sand bodies reservoir in the Kutei basin. The study area is complex channel reservoir system that appears to occupy specific area within the depositional system. The geometry of the sediment channel, which thins toward the channel margins, makes this feature similar to be wedge model that could possibly be influenced by tuning effects. The tuning effects introduce pitfall in interpreting high-quality reservoir that is affected by contrasts in acoustic impedance. In order to distinguish high amplitude responses caused by tuning effects and acoustic properties, the analysis of amplitude responses needs to be correlated to the reservoir thickness. The statistical tuning chart is one of the techniques used to correlate amplitude responses and the reservoir thickness. The application of this technique to real data sets shows net porosity thickness map over the targeted reservoir. Thus, high-quality reservoir characterization can be performed to delineate geometric framework of the reservoir.

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