TELKOMNIKA (Telecommunication Computing Electronics and Control)
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)
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The analysis of MF resin and CaCO3 diffuser-loaded encapsulations to enhance the homogeneity of correlated color temperature for phosphor-converted LEDs
My Hanh Nguyen Thi;
Phung Ton That
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.16519
The most popular method used in the production of phosphor-converted LEDs (pc-LEDs) is dispensing phosphor freely. However, this method is inferior in generating good angular correlated color temperature (CCT) homogeneity. Thus, in this article, a diffuser-loaded encapsulation is proposed as a potential solution for better CCT uniformity. The paper provides a detailed investigation on how melamine formaldehyde (MF) resin and CaCO3 loaded encapsulations impact the uniformity of CCT, as well as the lumen efficacy of pc-LEDs. The results demonstrate that between MF resin and CaCO3 loaded encapsulations, the MF resin yields a higher light diffusion efficiency while the CaCO3 maintains greater lumen efficacy. The photon scattering development is the key force behind the enhancement of the angular CCT uniformity in pc-LEDs’ output when using the loaded encapsulations of MF resin and CaCO3 particles. Since this package utilized mineral, it has reasonable cost and is quite easy to control while still being effective in enhancing the angular CCT homogeneity of pc-LEDs. Diffusers with 1% concentration of MF resin or 10% concentration of CaCO3 are determined as an optimal solution for reducing the variance of angular CCT and increasing the lumen output.
Analytical determination of load resistance value for MQ-series gas sensors: MQ-6 as case study
Ajiboye A. T.;
Opadiji J. F.;
Yusuf A. O.;
Popoola J. O.
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.17427
The MQ-series gas sensors are attractive candidates in the area of gas concentration sensing due to their high sensitivity and low cost. Even though the sensor circuit sensitivity and sensor power dissipation level both depend on load resistance, the process of the load resistance selection has not been well researched, hence the need for this study. The derivation of model equations for determining the sensor circuit sensitivity and sensor power dissipation is presented. The derived equations were used to investigate a typical scenario of MQ-6 gas sensor under the influence of liquified petroleum gas (LPG). The variation of sensitivity with load resistance and that of power dissipation with sensor resistance were parametrically investigated. The load resistance that yields maximum sensor circuit sensitivity with the maximum sensor power dissipation less than the set threshold is the candidate resistance for the sensor circuit. The 20 kΩ load resistance recommended for MQ-6 in the datasheet was authenticated in this study, yielding the maximum possible sensor circuit sensitivity and tolerable sensor power dissipation of 0.195 mV/ppm and 3.125×10−4 W, respectively.
The convolutional neural networks for Amazigh speech recognition system
Meryam Telmem;
Youssef Ghanou
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.16793
In this paper, we present an approach based on convolutional neural networks to build an automatic speech recognition system for the Amazigh language. This system is built with TensorFlow and uses mel frequency cepstral coefficient (MFCC) to extract features. In order to test the effect of the speaker's gender and age on the accuracy of the model, the system was trained and tested on several datasets. The first experiment the dataset consists of 9240 audio files. The second experiment the dataset consists of 9240 audio files distributed between females and males’ speakers. The last experiment 3 the dataset consists of 13860 audio files distributed between age 9-15, age 16-30, and age 30+. The result shows that the model trained on a dataset of adult speaker’s age +30 categories generates the best accuracy with 93.9%.
An effective feature extraction method for rice leaf disease classification
Muhammad Anwarul Azim;
Mohammad Khairul Islam;
Md. Marufur Rahman;
Farah Jahan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.16488
Our society is getting more and more technology dependent day by day. Nevertheless, agriculture is imperative for our survival. Rice is one of the primary food grains. It provides sustenance to almost fifty percent of the world population and promotes huge amount of employments. Hence, proper mitigation of rice plant diseases is of paramount importance. A model to detect three rice leaf diseases, namely bacterial leaf blight, brown spot, and leaf smut is proposed in this paper. Backgrounds of the images are removed by saturation threshold while disease affected areas are segmented using hue threshold. Distinctive features from color, shape, and texture domain are extracted from affected areas. These features can robustly describe local and global statistics of such images. Trying a couple of classification algorithms, extreme gradient boosting decision tree ensemble is incorporated in this model for its superior performance. Our model achieves 86.58% accuracy on rice leaf diseases dataset from UCI, which is higher than previous works on the same dataset. Class-wise accuracy of the model is also consistent among the classes.
Determinants of customer acceptance of e-banking in Iraq using technology acceptance model
Ayad Hameed Mousa;
Sundus Hameed Mousa;
Mustafa Aljshamee;
Intedhar Shakir Nasir
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.16068
Electronic banking (e-banking) is a form of banking in which funds are transferred through an exchange of electronic signals along to the traditional banking process as the exchange of cash, checks, or other types of paper documents. Moreover, the general tendencies of the Iraqi government in line with other countries to adopt e-banking and provide e-services to customers. However, the determinants of e-banking services need to investigate to determine the variables affecting the rate of such adoption. Thus, the main aim of this study is to identify the determinants of e-banking services in Iraq. Hence, this study gives an investigation using the technology acceptance model (TAM) by selecting a sample for many Iraqi banks' customers and staff to determine the determinants of user acceptance of e-banking. A preliminary study was conducted to empirically determine the user acceptance determinants of e-banking. For data collection, a quantitative method was used represented by the questionnaire. The selected sample for the investigation is 200 (customers and staff). Several methods have used for data analysis such as hierarchical regression, one-way ANOVA, descriptive statistics, t-test as well as structural equation modeling (SEM). The obtained outcomes show there are several determinants of e-banking services in Iraq that have determined in this study. Moreover, this study confirms the overcoming of those determinants will give a highly positive impact on e-banking services.
Aluminum based nanostructures for energy applications
Mohammad Tariq Yaseen;
Abdalem A. Rasheed
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.18146
The plasmonic material properties of aluminum allow active plasmon resonances extending from the blue color in the visible range to the ultraviolet (UV) region of the spectrum. Whereas Al is usually avoided for applications of plasmonics due to its losses in the infrared spectrum region. In this work, the study of the scatter and absorption of disk nanoantennas (DNAs) using various types of materials Au, Ag, and Al is accomplished by using the CST microwave studio suite simulation. The results showed that Al can offer good plasmonic properties when DNA radius is 25 nm to 125 nm at 20 nm height and working wavelengths longer than 800 nm in the near-infrared (NIR) region. Al produces negative plasmonic features around 800 nm wavelength due to the interband transition in the imaginary part of epsilon. For Au and Ag, the plasmonic characteristics rapidly decayed when the DNA radius was higher than 60 nm, but in contrast, Al offers good plasmonic features at these large dimensions of DNAs. This extended response of Al in UV, visible, and NIR, incorporated with its low cost, natural abundance, low native oxide, and amenability to industrial processes, could make Al an extremely promising plasmonic metal candidate for energy applications.
Usability improvement of public transit application through mental model and user journey
Komang Candra Brata;
Aryo Pinandito;
Nurizal Dwi Priandani;
Mahardeka Tri Ananta
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.18323
Using a mobile application that is featured with local public transit information can greatly improve user action, as well as assisting travelers to have a better experience while taking public transit services. Crowd environment inside a public transit is one of the most frequent causes that lead difficulties to passengers when they engaging their mobile devices to access their apps or in some conditions. Finding crucial information such as stops points and remaining time to interchanges point when switching to another line becomes more difficult in those conditions especially for foreigners who new in a particular region. This study presents the combination of a mental model and a usability approach to construct a user journey map that led to new insights on user's experiences and challenges when utilizing their mobile local transit application. This valuable information is a part of the elicitation process to propose an alternative interaction method to enhance the usability and travel experience of the public transit app. The experimental results indicate that in contrast to the existing mobile transit app, the proposed interface with the utilization of a wearable device could considerably enhance user action when trying to reach the desired location in terms of total time and performance. It implies that the proposed solution, which works through the mental model and user journey is able to intuitively enhance the public transit app usability.
User grouping-based multiple access scheme for IoT network
Minh-Sang Van Nguyen;
Tu-Trinh Nguyen;
Dinh-Thuan Do
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.16181
The internet of things (IoT) in 5G and beyond wireless systems is interesting topic since IoT network will be platform to develop applications in the future. IoT will open a door for smart services and new wireless architecture. In this study, we consider multiple access technique applied in two-way cooperative scheme, namely two-way non-orthogonal multiple access (TW-NOMA). We derive expressions of outage probability for considered system using amplify-and-forward (AF) relay protocol, and we show that fixed power allocation factors and target rates are main impacts on performance of AF TW-NOMA. We finally extend many scenarios to evaluate performance of two-user model and outage probability in a two-user scenario are numerically verified. It is confirmed that simulation results show that AF TW-NOMA provides better data rates and user fairness.
A Review of immigration obstacles to PON-FTTH and its evolution around the world
Mustafa H. Ali;
Hazim M. ALkargole;
Tariq A. Hassan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.16444
The require a bandwidth of every person will be increased from 16 Mbit/s to 50 up to 100M bit/s in the next 5 years in most of the growing counties. To solve this problem, FTTH may be the appropriate solution in a wide range. We experimentally investigate the deploy of PON-FTTH based on different kinds of passive optical network technology (E-PON, G-PON and VCSEL) and study the Obstacles of PON-FTTH Immigration after comparing it with older service (XDSL). Then analysis the reason on why these technologies chose by some country not others and why the technological need in Europe different with need in Africa and America. We discussed the solutions in telecommunications networks and or the economic aspect of projects all over the world, we found that GPON is more appropriable for accomplishment PON-FTTH than other networks. Thus GPON has been chosen for Europe, America and middle east. Choosing GPON techniques is decided by many factors include the infrastructure that was made before, the people demand for service and how much service they need because the need in Europe different with need in Africa and American and so on. Finally, we will suggest the appropriate solution in the energy savings, cost effective, higher security, and side of service transparency over other access networks for the future demand.
Roof materials identification based on pleiades spectral responses using supervised classification
Ayom Widipaminto;
Yohanes Fridolin Hestrio;
Yuvita Dian Safitri;
Donna Monica;
Dedi Irawadi;
Rokhmatuloh Rokhmatuloh;
Djoko Triyono;
Erna Sri Adiningsih
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/telkomnika.v19i2.18155
The current urban environment is very dynamic and always changes both physically and socio-economically very quickly. Monitoring urban areas is one of the most relevant issues related to evaluating human impacts on environmental change. Nowadays remote sensing technology is increasingly being used in a variety of applications including mapping and modeling of urban areas. The purpose of this paper is to classify the Pleiades data for the identification of roof materials. This classification is based on data from satellite image spectroscopy results with very high resolution. Spectroscopy is a technique for obtaining spectrum or wavelengths at each position from various spatial data so that images can be recognized based on their respective spectral wavelengths. The outcome of this study is that high-resolution remote sensing data can be used to identify roof material and can map further in the context of monitoring urban areas. The overall value of accuracy and Kappa Coefficient on the method that we use is equal to 92.92% and 0.9069.