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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
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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 64 Documents
Search results for , issue "Vol 17, No 1: February 2019" : 64 Documents clear
Determination of solid material permittivity using T-ring resonator for food industry Rammah A. Alahnomi; Z. Zakaria; Zulkalnain Mohd Yussof; Tole Sutikno; Amyrul Azuan Mohd Bahar; Ammar Alhegazi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11636

Abstract

In this paper, we present a simple design of a T-ring resonator sensor for characterizing solid detection.  The sensor is based on a planar microwave ring resonator and operating at 4.2 GHz frequency with a high-quality factor and sensitivity. An optimization of the T-ring geometry and materials were made to achieve high sensitivity for microwave material characterizations. This technique can determine the properties of solid materials from range of 2 GHz to 12 GHz frequencies. Techniques of current microwave resonator are usually measuring the properties of material at frequencies with a wide range; however, their accuracy is limited. Contrary to techniques that have a narrowband which is normally measuring the properties of materials to a high-accuracy with limitation to only a single frequency. This sensor has a capability of measuring the properties of materials at frequencies of wide range to a high-accuracy. A good agreement is achieved between the simulated results of the tested materials and the values of the manufacturer’s Data sheets. An empirical equation has been developed accordingly for the simulated results of the tested materials. Various standard materials have been tested for validation and verification of the sensor sensitivity. The proposed concept enables the detection and characterization of materials and it has miniaturized the size with low cost, reusable, reliable, and ease of design fabrication with using a small size of tested sample. It is inspiring a broader of interest in developing microwave planar sensors and improving their applications in food industry, quality control and biomedical materials.
A gamification framework to enhance students’ intrinsic motivation on MOOC Rujianto Eko Saputro; Sazilah Salam; Mohd. Hafiz Zakaria; Toni Anwar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10090

Abstract

Technological development supports the distribution of education to various parts of the world through online education. One of the learning media that supports the distribution of learning is the Massive Open Online Course (MOOC). However, MOOC has a low number of students who complete the course. Therefore, this research proposes a "gamification framework" through studies and various approaches in the field of games, intrinsic motivation elements, social learning, and interactive learning environments to overcome the low motivation of students. The proposed framework has been evaluated through validation by experts. The results found that the framework fulfilled the rules and suitability of the instruments and game elements used to increase the intrinsic motivation of students in online learning. Although there are some changes in the function and type of game elements used. For further research, the framework will be used as a guideline to build the Gamified MOOC Platform.
Performance comparison of transmitting jumbo frame on Windows and Linux System Supriyanto Praptodiyono; Rian Sofhan; Anggoro S. Pramudyo; Teguh Firmansyah; Azlan Osman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11627

Abstract

IPv6 is the successor of IPv4, the current Internet Protocol that runs out its address. It offers some improvements including simpler header format and extension header resulting in faster transmission of IP packets. However, IPv6 is a network layer protocol that requires lower layer services. IP packets from the network layer pass to data link layer to be encapsulated by layer 2 headers and trailer to become frames. Ethernet is the most widely used data link layer protocol in the current network devices. The technology is always improved to support high speed transmission. However, from standard Ethernet until ten gigabit Ethernet, the size of MTU remains unchanged at 1500 Bytes. This prevents the network from gaining an optimum performance on transmitting IP packets and operating systems cannot take full advantage of the high-speed performance of Gigabit Ethernet. This research aims to implement the transmission of IPv6 packets using jumbo frame on a test-bed environment. The implementation can be used to justify the impact of jumbo frame on the network as well as operating systems performance. The results prove that the OS used on implementation of jumbo frame affects on the network performance. The highest percentage of increasing throughput is 33.6% when both sender and receiver are running Windows. The decreasing delay by 54.36% was happened when using Linux in sender and Windows in receiver.
Fit-NES: wearable bracelet for heart rate monitoring Muhammad Ikhsan Sani; Giva Andriana Mutiara; Raden Sri Dewanto Wijaya Putra
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11611

Abstract

The heart is a vital organ that serves to pump blood to the whole body. A heart rate can be used as a healthy body parameter conditions. Growing evidence suggests that IT-based health records play essential role to drive medical revolution especially on data storage and processing. The heart rate measurement (HRM) process usually involves wearable sensor devices to record patient’s data. This data is recorded to help the doctors to analyze and provide a better diagnose in order to determine the best treatment for the patients. Connecting the sensor system through a wireless network to a cloud server will enable the doctor to monitor remotely. This paper presents fit-NES wearable bracelet, an alternative method for integrating a HR measurement device using optical based pulse sensor and Bluetooth-based communication module. This paper is also present the benchmarking of proposed system with several various commercial HR measurement devices.
New instances classification framework on Quran ontology applied to question answering system Fandy Setyo Utomo; Nanna Suryana; Mohd Sanusi Azmi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.9794

Abstract

Instances classification with the small dataset for Quran ontology is the current research problem which appears in Quran ontology development. The existing classification approach used machine learning: Backpropagation Neural Network. However, this method has a drawback; if the training set amount is small, then the classifier accuracy could decline. Unfortunately, Holy Quran has a small corpus. Based on this problem, our study aims to formulate new instances classification framework for small training corpus applied to semantic question answering system. As a result, the instances classification framework consists of several essential components: pre-processing, morphology analysis, semantic analysis, feature extraction, instances classification with Radial Basis Function Networks algorithm, and the transformation module. This algorithm is chosen since it robustness to noisy data and has an excellent achievement to handle small dataset. Furthermore, document processing module on question answering system is used to access instances classification result in Quran ontology.
Private cloud storage implementation using OpenStack Swift Agustinus Noertjahyana; Juan Reno; Henry Novianus Palit; Justinus Andjarwirawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11599

Abstract

The use of distributed and parallel computer systems is growing rapidly, requiring an appropriate system to support its work processes. One technology that supports distributed computer systems is cloud computing. This system can generate the need to maximize the use of existing computing resources, one of which is in the form of cloud-based storage. The computer laboratory of Informatics Department of Petra Christian University has very large resources, but they have not been optimized in the utilization of existing storage devices. This condition gives the idea to utilize computers in the laboratory with cloud, so the storage can be used well. This implementation used the OpenStack cloud framework, which could provide IaaS service. From some existing OpenStack services, storage management used OpenStack Swift on its processing. OpenStack Swift is a cloud-based storage service that leverages various computing resources. After the implementation process, testing was done by way of data management, so storage could store, retrieve, and delete data. In addition, testing was also done by turning off some physical machines to ensure cloud services could remain well accessible, and measure the speed of data transfer in cloud storage. The resulting data was used to evaluate the cloud storage systems that had been created.
Assessing students’ continuance intention in using multimedia online learning Taqwa Hariguna; Akmal Akmal
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10328

Abstract

The study aimed to assess the students’ continuance intention (SCI) in using multimedia online learning including students’ perceived usefulness (SPU), students’ ease of use (SPE), and students’ flow experience (SFE). There is no,so far, the assessment of students’ activity in using multimedia online learning within the extended Technology Acceptance Model (TAM).This study revealed the students’ continuance intentions in using online lessons.There were 523 students as the samples. They learned and examined the content of online English learning resources as well as multimedia aspects.TAM was used to predict the SCI. The results indicate that the students’ intentions are influenced positively by perceived usefulness, ease of use, and the flow experience. The SPU influenced more students’ motivation than SPE. It is recommended that designers of online learning should be more specific in determining target users. The online learners’ skill on ICT, pedagogical principles, and technological barrier in different region are among the determinant aspects for receiving positive enduring intention.
High secure buffer based physical unclonable functions (PUF’s) for device authentication Sadulla Shaik; Anil Kumar Kurra; A. Surendar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10436

Abstract

Physical Unclonable Function (PUF) is fast growing technology which utilizes the statistical variability of the manufacture variations acts as a finger print to the each device. It can be widely used in security applications such as device authentication, key generation and Intellectual Property (IP) protection. Due to the simplicity and low cost arbiter delay based PUFs have been mostly used as a cryptographic key in Internet of Things (IoT) devices. As conventional arbiter PUFs are suffers from less uniqueness and reliability. This paper provides designing of new buffer based arbiter PUF. It has been demonstrated that experimental results of new buffer based arbiter PUF shows the considerable improvement in the uniqueness and reliability of the proposed design and the Monte-Carlo analysis applied for delay variability of the PUFs.
Stereo matching based on absolute differences for multiple objects detection Rostam Affendi Hamzah; Melvin Gan Yeou Wei; Nik Syahrim Nik Anwar
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.9185

Abstract

This article presents a new algorithm for object detection using stereo camera system. The problem to get an accurate object detion using stereo camera is the imprecise of matching process between two scenes with the same viewpoint. Hence, this article aims to reduce the incorrect matching pixel with four stages. This new algorithm is the combination of continuous process of matching cost computation, aggregation, optimization and filtering. The first stage is matching cost computation to acquire preliminary result using an absolute differences method. Then the second stage known as aggregation step uses a guided filter with fixed window support size. After that, the optimization stage uses winner-takes-all (WTA) approach which selects the smallest matching differences value and normalized it to the disparity level. The last stage in the framework uses a bilateral filter. It is effectively further decrease the error on the disparity map which contains information of object detection and locations. The proposed work produces low errors (i.e., 12.11% and 14.01% nonocc and all errors) based on the KITTI dataset and capable to perform much better compared with before the proposed framework and competitive with some newly available methods.
Remote interpreter API model for supporting computer programming adaptive learning Rosihan Ari Yuana; Ignasius Agus Leonardo; Cucuk Wawan Budiyanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11585

Abstract

Despite the adoption of Learning Management Systems (LMS) has been continuously growing in the last decade few, if any, scholars addressed the lack of the interactivity in online learning systems. The requirement for an interactive learning model has been increasingly prominent as content providers realize the importance of personalization of content suits to learners’ learning progress. This paper demonstrates the adoption of adaptive learning into existing LMS engine to overcome the limitation of either systems plugins or server specification pertinent to students’ psychomotor abilities in computer programming learning. In this regard,  the psychomotor is understood as the ability of students to write the program code as correctly as expected. In this study, a web API model that works to run an interpreter based-program code remotely was developed. The web API model can be utilized by LMS so it becomes the solution to the problem. The structure of the web API model has been adapted to the needs of the learning assessment. The implementation of the developed API web model is done in Python and PHP programming languages. The performance test was done by submitting 10 to 100 program codes simultaneously indicated no significant difference to the required resources (CPU usage and memory usage) to run the program code. Furthermore, for response time, the average time needed to run Python and PHP program code is also no significant difference. The average of CPU usage required by the web API to run a Python program code is 0.2058% with 0.5973 seconds as a response time. Meanwhile, to run the PHP program code, the average CPU usage required is 0.8074% with 0.3110 seconds response time. It can be concluded that the web API performance does not overburden the server.

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