Articles
<![CDATA[Hadoop Performance Analysis on Raspberry Pi for DNA Sequence Alignment ]]>
<![CDATA[Jaya Sena Turana]]>;
<![CDATA[Heru Sukoco]]>;
<![CDATA[Wisnu Ananta Kusuma]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v14i3.1886
<![CDATA[The rapid development of electronic data has brought two major challenges, namely, how to store big data and how to process it. Two main problems in processing big data are the high cost and the computational power. Hadoop, one of the open source frameworks for processing big data, uses distributed computational model designed to be able to run on commodity hardware. The aim of this research is to analyze Hadoop cluster on Raspberry Pi as a commodity hardware for DNA sequence alignment. Six B Model Raspberry Pi and a Biodoop library were used in this research for DNA sequence alignment. The length of the DNA used in this research is between 5,639 bp and 13,271 bp. The results showed that the Hadoop cluster was running on the Raspberry Pi with average usage of processor 73.08%, 334.69 MB of memory and 19.89 minutes of job time completion. The distribution of Hadoop data file blocks was found to reduce processor usage as much as 24.14% and memory usage as much as 8.49%. However this increased job processing time as much as 31.53%.]]>
<![CDATA[Selecting User Influence on Twitter Data Using Skyline Query under MapReduce Framework ]]>
<![CDATA[Ahmad Luky Ramdani]]>;
<![CDATA[Taufik Djatna]]>;
<![CDATA[Heru Sukoco]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v16i3.4624
<![CDATA[The aim of this research was to select and identify user influence on Twitter data. In identification stage, the method proposed in this study was matrix Twitter approach, sentiment analysis, and characterization of the opinion leader. The importan characteristics included external communication, accessibility, and innovation. Based on these characteristics and information from Twitter data through matrix Twitter and sentiment analysis, a algorithm of skyline query was constructed for the selection stage. Algorithm of skyline query selected user influence by comparing with other users according to values of each characteristic. Thus, user influence was indicated as user that was not influenced by other users in any combination of skyline objects. The use of MapReduce framework model in identification and selection stage, support whole operation where Twitter had big size data and rapid changes. The results in identification and selection of user influence exhibited that MapReduce framework minimized the execution time, whereas in parallel skyline query could reveal user influence on the data.]]>
<![CDATA[Bloom Filter Implementation in Cache with Low Level of False Positive ]]>
<![CDATA[Andri Hidayat]]>;
<![CDATA[Fahren Bukhari]]>;
<![CDATA[Heru Sukoco]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v15i4.4447
<![CDATA[Searching techniques significantly determine the speed of getting the information or objects. Finding an object in a set is related to membership checking. In the case of massive data, it needs an appropriate technique to search an object accurately and faster. This research implements searching methods, namely Bloom Filter and Sequential Search algorithms, to find objects in a set of data. It aims to improve our system getting a proper item. Due to the possibility of False-Positive existence as a result of Bloom filter technique, there is a potentially inaccurate representation to object sought. Some parameters are influencing False-Positive, namely the number of objects, available bits, and the number of mapped-bit. A Combination of those parameters could decrease the level of False-Positive and improve their accuracy and faster accessibility. In this research, we use three data object variations with the biggest object size of 2000000. Cached objects used in our experiments is between 2 – 20% of variation from the generated objects. The best results with the lowest False-Positive is a combination of bit = 8, mapped bit = 7, and 6% of cache size from 2000000 generated objects.]]>
<![CDATA[Paper-based Verification Design of Trade Business License in Indonesia ]]>
<![CDATA[Pizaini Pizaini]]>;
<![CDATA[Sugi Guritman]]>;
<![CDATA[Heru Sukoco]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 4: December 2016 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v14i4.2915
<![CDATA[The trade business license certificate (SIUP) is a paper-based license to conduct trade businesses in Indonesia issued by the government. Until today, there is no mechanism for verifying the validity of document unless to verify it manually. The current paper presents a design that allows paper-based verification of the printed trade business license. It aims to provide the verification mechanism and ensure the document validity. Our design implemented digital signature with QR Code image that placed into the document and the digital certificate issued by a certification authority (CA). The proposed scheme generated 442Bytes of data and version 14 of QR Code to scan easily by a reader device. The experimental result indicates that our scheme is easy and feasible to implement in Indonesia with guaranteed the document integrity, authentication, and nonrepudiation.]]>
<![CDATA[Wireless Sensor Network Design based on Hybrid Tree-Like Mesh Topology as a New Platform for Air Pollution Monitoring System ]]>
<![CDATA[Muhammad Iqbal]]>;
<![CDATA[Muhammad Fuad]]>;
<![CDATA[Heru Sukoco]]>;
<![CDATA[Husin Alatas]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v14i3.2279
<![CDATA[In this paper, we propose a new platform for air pollution monitoring system based on wireless sensor network (WSN) with Tree-like Mesh topology. We used ZigBee device and General Packet Radio Service (GPRS) for data transfer protocol. The results of a conducted test showed a good performance in delivering data in real time mode. We found that the fewer hop produced higher throughput but lower delay and packet loss ratio. The system performance demonstrated that the reduction of one hop increased 32.06% of throughput, decreased 23.28% of delay and 0.01% of packet loss ratio.In this paper, we propose a new platform for air pollution monitoring system based on wireless sensor network (WSN) with Tree-like Mesh topology. We used ZigBee device and General Packet Radio Service (GPRS) for data transfer protocol. The results of a conducted test showed a good performance in delivering data in real time mode. We found that the fewer hop produced higher throughput but lower delay and packet loss ratio. The system performance demonstrated that the reduction of one hop increased 32.06% of throughput, decreased 23.28% of delay and 0.01% of packet loss ratio]]>
<![CDATA[Sentiment Mining of Community Development Program Evaluation Based on Social Media ]]>
<![CDATA[Siti Yuliyanti]]>;
<![CDATA[Taufik Djatna]]>;
<![CDATA[Heru Sukoco]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v15i4.4633
<![CDATA[It is crucial to support community-oriented services for youth awareness in the social media with knowledge extraction, which would be useful for both government agencies and community group of interest for program evaluation. This work provided to formulate effective evaluation on community development program and addressing them to a correct action. By using classification based SVM, evaluation of the achievement level conducted in both quantitative and qualitative analysis, particularly to conclude which activities has high success rate. By using social media based activities, this study searched the sentiment analysis from every activities comments based on their tweet. First, we kicked off preprocessing stage, reducing feature space by using principle of component analysis and estimate parameters for classification purposes. Second, we modeled activity classification by using support vector machine. At last, set term score by calculating term frequency, which combined with term sentiment scores based on lexicon.The result shows that models provided sentiment summarization that point out the success level of positive sentiment.]]>
<![CDATA[Weighted Round Robin Load Balancer to Enhance Web Server Cluster in OpenFlow Networks ]]>
<![CDATA[Yuggo Afrianto]]>;
<![CDATA[Heru Sukoco]]>;
<![CDATA[Sri Wahjuni]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v16i3.5601
<![CDATA[Web server clusters require a reliable network management for increasing the quality of service (QoS). A load balancer system installed in a software-defined network (SDN) is one method that can improve the performance and availability of web server services. SDN is a dynamic and a programmable network management approach, and one protocol that supports it is OpenFlow. This research aims to design and analyse a model of a load balancer on OpenFlow networks, implementing a Weighted Round Robin (WRR) algorithm. The analysis process is conducted by measuring the value of a QoS web server performance parameters, such as response time, throughput, HTTP success, and loss connection. The results showed the WRR algorithm can be implemented for balancing a network system with dynamic resource allocation. The weight workload of each service can be obtained from the needs and existing network resources. The performance of a load balancer on an OpenFlow network is 57% better than in a traditional one for testing of response time conducted in a high connection. However, the throughput and HTTP success connection decreased by 2% and 10%, respectively, while HTTP loss connection increased by 49%.]]>
<![CDATA[Comparison of Data Partitioning Schema of Parallel Pairwise Alignment on Shared Memory System ]]>
<![CDATA[Auriza Rahmad Akbar]]>;
<![CDATA[Heru Sukoco]]>;
<![CDATA[Wisnu Ananta Kusuma]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 2: June 2015 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v13i2.1415
<![CDATA[The pairwise alignment (PA) algorithm is widely used in bioinformatics to analyze biological sequence. With the advance of sequencer technology, a massive amount of DNA fragments are sequenced much quicker and cheaper. The alignment algorithm needs to be parallelized to be able to align them in a shorter time. Many previous researches have parallelize PA algorithm using various data partitioning schema, but it is unclear which one is the best. The data partitioning schema is important for parallel PA performance, because this algorithm use dynamic programming technique that needs intense inter-thread communication. In this paper, we compared four partitioning schemas to find the best performing one on shared memory system. Those schemas are: blocked columnwise, rowwise, antidiagonal, and blocked columnwise with manual scheduling and loop unrolling. The last schema gave the best performance of 89% efficiency on 4 threads. This result provided fine-grain parallelism that can be used further to develop parallel multiple sequence alignment (MSA).]]>
<![CDATA[Influences of Buffer Size and Eb/No on Very Small Aperture Terminal (VSAT) Communictions ]]>
<![CDATA[Debby Maureen Talumewo]]>;
<![CDATA[Heru Sukoco]]>;
<![CDATA[Fahren Bukhari]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v15i4.5788
<![CDATA[In data communication of the signal transmitted from the transmitter (Tx) to receiver (Rx) stations is very influential. Buffer and Eb/No are two parameters that influence the quality of signal. This research measures those parameters and the relationship among them. This research employs data collected on the Link STM-1 side in Makassar and Timika operated by PT. Telkom Metra Bogor. The period of data is carried out for 56 days taken by using Simple Management Network Protocol (SNMP). To analyze the relationship among those two parameters, we use product moment correlation (PMC) method. The result correlation of the data buffer and Eb/No with a level of real is 0.05 and then buffer set in modem CDM 700 is 50% with threshold Eb/No 12.1 dB and the modulations used 64-QAM. That resulted correlation of side in Makassar is 0.648 and the p-value is 0.000. Correlation of side in Timika is 0.722 and the p-value is 0.000. These results suggest that the two parameters are correlated strong and significant. ]]>
<![CDATA[Streamed Sampling on Dynamic data as Support for Classification Model ]]>
<![CDATA[Astried Silvanie]]>;
<![CDATA[Taufik Djatna]]>;
<![CDATA[Heru Sukoco]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 4: December 2013 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v11i4.1210
<![CDATA[Data mining process on dynamically changing data have several problems, such as unknown data size and changing of class distribution. Random sampling method commonly applied for extracting general synopsis from very large database. In this research, Vitter’s reservoir algorithm is used to retrieve k records of data from the database and put into the sample. Sample is used as input for classification task in data mining. Sample type is backing sample and it saved as table contains value of id, priority and timestamp. Priority indicates the probability of how long data retained in the sample. Kullback-Leibler divergence applied to measure the similarity between database and sample distribution. Result of this research is showed that continuously taken samples randomly is possible when transaction occurs. Kullback-Leibler divergence with interval from 0 to 0.0001, is a very good measure to maintain similar class distribution between database and sample. Sample results are always up to date on new transactions with similar class distribution. Classifier built from balance class distribution showed to have better performance than from imbalance one.]]>
