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31,377 Article Results

GNSS interference reduction method for CORS site planning

10.12928/telkomnika.v17i3.11744
Reza; PTE (Centre of Electronics Technology) BPPT Septiawan , Agung; BIG (Badan Informasi Geospasial/ Indonesian Agency for Geospatial Information) Syetiawan , Arief; PTE (Centre of Electronics Technology) BPPT Rufiyanto , Nashrullah; PTE (Centre of Electronics Technology) BPPT Taufik , Budi; PTE (Centre of Electronics Technology) BPPT Sulistya , Erik Madyo; PTE (Centre of Electronics Technology) BPPT Putro
Precision, Navigation, and Timing (PNT) system based on Global Navigation Satellite System (GNSS) becomes significant in the air, land, and sea traffic management. Integrity of GNSS is significant to provide a reliable real time PNT system such as CORS (Continuously Operating Reference Stations). GNSS Interference due to intentional or unintentional surrounding signal source may decrease the integrity of GNSS signal. Monitoring and identification of potential GNSS interference sources in the surrounding environment of CORS is significant. This paper proposed a methodology to reduce potential GNSS interference in a planned CORS site by first simulating the radiation pattern of potential source of interference to GNSS signal in the planned CORS sites. Thereafter ambient noise levels in the location of CORS may be measured to provide a reference point for analyzing the other potential sources of interferences. Based on these results, optimal location of CORS is chosen with the lowest possible unintentional interference signal from their surrounding. Measurement has been conducted in the location of CORS owned by BIG (Indonesian Agency for Geospatial Information), which is located in the rooftop of a building neara telecommunication tower.This method is necessary for CORS site planning to reduce potential GNSS interference sources in the environment of alternative sites.
Volume: 17
Issue: 3
Page: 1159-1167
Publish at: 2019-06-01

Moment invariant-based features for Jawi character recognition

10.11591/ijece.v9i3.pp1711-1719
Fitri Arnia , Khairun Saddami , Khairul Munadi
Ancient manuscripts written in Malay-Arabic characters, which are known as "Jawi" characters, are mostly found in Malay world. Nowadays, many of the manuscripts have been digitalized. Unlike Roman letters, there is no optical character recognition (OCR) software for Jawi characters. This article proposes a new algorithm for Jawi character recognition based on Hu’s moment as an invariant feature that we call the tree root (TR) algorithm. The TR algorithm allows every Jawi character to have a unique combination of moment. Seven values of the Hu’s moment are calculated from all Jawi characters, which consist of 36 isolated, 27 initial, 27 middle, and 35 end characters; this makes a total of 125 characters. The TR algorithm was then applied to recognize these characters. To assess the TR algorithm, five characters that had been rotated to 90o and 180o and scaled with factors of 0.5 and 2 were used. Overall, the recognition rate of the TR algorithm was 90.4%; 113 out of 125 characters have a unique combination of moment values, while testing on rotated and scaled characters achieved 82.14% recognition rate. The proposed method showed a superior performance compared with the Support Vector Machine and Euclidian Distance as classifier.
Volume: 9
Issue: 3
Page: 1711-1719
Publish at: 2019-06-01

Clustering analysis of learning style on anggana high school student

10.12928/telkomnika.v17i3.9101
Siti; STMIK Widya Cipta Dharma Lailiyah , Ekawati; STMIK Widya Cipta Dharma Yulsilviana , Reza; Politeknik Negeri Pertanian Samarinda Andrea
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.
Volume: 17
Issue: 3
Page: 1409-1416
Publish at: 2019-06-01

Smart taxi security system design with internet of things (IoT)

10.12928/telkomnika.v17i3.10167
Indrianto; Sekolah Tinggi Teknik PLN Indrianto , Meilia Nur Indah; Sekolah Tinggi Teknik PLN Susanti , Riki Ruli A.; Sekolah Tinggi Teknik PLN Siregar , Purwati Putri; Sekolah Tinggi Teknik PLN J. , Yudhi; Sekolah Tinggi Teknik PLN Purwanto
Safety is an important thing in driving. Security in driving is aimed at the way of driving the vehicle or the security on the vehicle itself. Vehicle assets, especially cars, that are quite expensive or luxurious assets Therefore, safety protections for such vehicles are necessary. Taxi is a valuable asset for the company. To maintain the asset, a good security system is needed. With a good security system, the asset will be protected and the investments invested will not be reduced. By using the prototype method, a tool will be made in accordance to the wishes of the user. The Encludean distance method is used to calculate the distance of the incident and the nearest police station. By using the progress of technology, the progress can be utilized to help the security of taxi owned by a company or personal (online). The purpose of this study is to create a tool that can secure the taxi and its driver of crimes that might occur. IoT (internet of things) can help to secure a taxi since it is able to locate the incident’s location precisely and accurately.
Volume: 17
Issue: 3
Page: 1250-1255
Publish at: 2019-06-01

Lightweight IoT middleware for rapid application development

10.12928/telkomnika.v17i3.11793
A. Karim Mohamed; Universiti Teknologi Malaysia Ibrahim , Rozeha A.; Universiti Teknologi Malaysia Rashid , A. Hadi Fikri; Universiti Teknologi Malaysia A. Hamid , M. Adib; Universiti Teknologi Malaysia Sarijari , Muhammad Ariff; Universiti Teknologi Malaysia Baharudin
Sensors connected to the cloud services equipped with data analytics has created a plethora of new type of applications ranging from personal to an industrial level forming to what is known today as Internet of Things (IoT). IoT-based system follows a pattern of data collection, data analytics, automation, and system improvement recommendations. However, most applications would have its own unique requirements in terms of the type of the smart devices, communication technologies as well as its application provisioning service. In order to enable an IoT-based system, various services are commercially available that provide services such as backend-as-a-service (BaaS) and software-as-a-service (SaaS) hosted in the cloud. This, in turn, raises the issues of security and privacy. However there is no plug-and-play IoT middleware framework that could be deployed out of the box for on-premise server. This paper aims at providing a lightweight IoT middleware that can be used to enable IoT applications owned by the individuals or organizations that effectively securing the data on-premise or in remote server. Specifically, the middleware with a standardized application programming interface (API) that could adapt to the application requirements through high level abstraction and interacts with the application service provider is proposed. Each API endpoint would be secured using Access Control List (ACL) and easily integratable with any other modules to ensure the scalability of the system as well as easing system deployment. In addition, this middleware could be deployed in a distributed manner and coordinate among themselves to fulfil the application requirements. A middleware is presented in this paper with GET and POST requests that are lightweight in size with a footprint of less than 1 KB and a round trip time of less than 1 second to facilitate rapid application development by individuals or organizations for securing IoT resources.
Volume: 17
Issue: 3
Page: 1385-1392
Publish at: 2019-06-01

Data visualisation of vehicle crash using interactive map and data dashboard

10.11591/ijeecs.v14.i3.pp1405-1411
Muhammad Zaki Abd Razak , Shukor Sanim Mohd Fauzi , Ray Adderley JM Gining , Muhammad Nabil Fikri Jamaluddin
Vehicle crash contributes to a significant number of deaths and injuries in human races around the world. The government and the transportation expert work together around the clock to lessen the number of injuries and fatalities cause from vehicle crash issues. To come out with an effective solution whether from improving the trafficking system including road conditions or increasing awareness among drivers, the experts must analyse the data of vehicle crash from the past decades to find the major causes and come out with a decision. The lack of suitable techniques and tools to analyse a large amount of data is a deterrent in analysing vehicle crash datasets, and the process costs a lot of time. Data visualisation is a technique that allows people to display data in a more infographic form via data visualisation models. Therefore, this study aims to promote and elaborate more on data visualisation techniques using the interactive map and data dashboard to display vehicle crash data. Interactive map and data dashboard can help the government and transportation experts to describe vehicle crash data for them to make right decision to lessen car accident issues. The interactive map focuses on displaying vehicle crash data in map presentation while the data dashboard shows some charts and graph that describe the vehicle crash data in the statistical form. This study can be a reference model of creating interactive map and data dashboard or enhancing the capabilities in managing vehicle crash.
Volume: 14
Issue: 3
Page: 1405-1411
Publish at: 2019-06-01

Performance analysis of tunnel broker through open virtual private network

10.12928/telkomnika.v17i3.12231
Rendy; Telkom University Munadi , Danu Dwi; Telkom University Sanjoyo , Doan; Telkom University Perdana , Fidar; Telkom University Adjie
Tunnel Broker uses automatic configuration tunneling mechanism for IPv6 clients connected to IPv4 internet. Connectivity between clients and service providers in IPv6 is urgently needed. Open VPN as a provider implemented configures it by a VPN network, so IPv6 and IPv4 public IP clients can easily connect to the server. In this research focused on the performance of tunnel broker mechanism by utilizing open VPN as access to the network. IPv6 tunnel broker is developed by installing Open VPN and providing IPv6 IPs. Implementation of public IP usage in observing the performance of tunnel broker development is done in BCN Telkom Laboratory Network. The measurement results show that TCP and UDP throughput of IPv6 is slightly higher than IPv4. The research using OpenVPN as a server Tunnel Broker for client access to the server is still rarely done, especially in the field of the network based on Internet Protocol.
Volume: 17
Issue: 3
Page: 1185-1192
Publish at: 2019-06-01

Performance evaluation of proposed load balancing algorithm with unstable concurrent programs

10.11591/ijeecs.v14.i3.pp1452-1459
Chanintorn Jittawiriyanukoon
IoT is the succeeding cohort of the digital computing environment. A swift progression in the IoT deployment and its applications are on the rise. Improving load balancing mechanisms induces healthier performance of the internet based computing as higher number of users can be comfortable. Implementing full services for tasks with unstable concurrency is an uphill process. One of the encounters allied with this administration is the task partition among the applications, regularly referred as concurrent programs. Through load balancing not only resources are equally utilized but also concurrent job’s response time can be promoted. Therefore, in this paper the widely used load balancing algorithms are investigated and yet the proposed algorithm is introduced. Simulation is employed in order to compare the performance metrics such as mean queue length, utilization and throughput between the recommended and existing algorithms. The proposed algorithm confirms the load balancing and outperforms when processing unstable concurrent programs.
Volume: 14
Issue: 3
Page: 1452-1459
Publish at: 2019-06-01

Transformation to electronic purchasing: an empirical investigation

10.12928/telkomnika.v17i3.9390
Mansour Naser; Dhofar University Salalah Alraja , Maryam Ali; Dhofar University Salalah Said Kashoob
The main objective of this study is to determine the factors influence consumers in Oman to switch from in-store to electronic purchasing. Therefore, four constructs (perceived ease of use (PEU), perceived usefulness (PU), facilitating conditions (FC), and social influence (SI)) have been employed in this study which are adopted through the integration between UTUAT and TAM models. The respondent in this study were students from Sultan Qaboos University and Dhofar University, 537 cases have been analysed. Exploratory, confirmatory, and structural equation modelling techniques have been employed in this research using SPSS 25, AMOS 25 software.The study revealed that (PU), (FC), and (SI) have a positive and significant influence on the consumers’ behavioural intention in Oman to switch into electronic purchasing. While, the findings demonstrated that there is no significant effect by (PEU) on the consumers’ behavioural intention to transform from traditional to electronic purchasing.The study provides business and consumers, a good interpretation about the factors influence the transformation to e-purchasing. In addition, this paper encourages companies to shift to interaction e-purchasing portals which help businesses to target different marketplace inside and outside of country to increase sell ratio to sustain their business. However, up to the researchers’ knowledge this study considered to be among the first studies which provide another clearer view of e-purchasing in Oman by incorporating selected factors from two different theories. i.e. incorporating two factors related to the use of technology with other two variables about the required technical resources, and the social effect on individuals to use new technology, thereby being unique and original.
Volume: 17
Issue: 3
Page: 1209-1219
Publish at: 2019-06-01

Hybrid multi-independent mmWave MNOs assessment utilising spectrum sharing paradigm for 5G networks

10.12928/telkomnika.v17i3.11131
Mothana L.; Universiti Teknikal Malaysia Melaka (UTeM) Attiah , A. A.; Universiti Teknikal Malaysia Melaka (UTeM) Md Isa , Zahriladha; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , M. K.; Universiti Teknikal Malaysia Melaka (UTeM) Abdulhameed , Mowafak K.; Universiti Teknikal Malaysia Melaka (UTeM) Mohsen , Ahmed M.; Universiti Teknikal Malaysia Melaka (UTeM) Dinar
Spectrum sharing paradigm (SSP) has recently emerged as an attractive solution to provide capital expenditure (CapEx) and operating expenditure (OpEx) savings and to enhance spectrum utilization (SU). However, practical issues concerning the implementation of such paradigm are rarely addressed (e.g., mutual interference, fairness, and mmWave base station density). Therefore, in this paper, we proposed ultra-reliable and proportionally fair hybrid spectrum sharing access strategy that aims to address the aforementioned aspects as a function of coverage probability (CP), average rate distributions (ARD), and the number of mmWave base stations (mBSs). In this strategy, the spectrum is sliced into three parts (exclusive, semi-pooled, and fully pooled). A typical user that belongs to certain operator has the right to occupy a part of the spectrum available in the high and low frequencies (28 and 73 GHz) based on an adaptive multi-state mmWave cell selection scheme (AMMC-S) which associates the user with the tagged mBS that offers a highest SINR to maintain more reliable connection and enrich the user experience. Numerical results show that significant improvement in terms of ARD, CP, fairness among operators, and maintain an acceptable level of mBSs density.
Volume: 17
Issue: 3
Page: 1101-1109
Publish at: 2019-06-01

Data collection algorithm for wireless sensor networks using collaborative mobile elements

10.11591/ijece.v9i3.pp2131-2140
Alhasanat Abdullah , Alhasanat Khaled , Ahmed Maamoun
The simplest approach to reduce network latency for data gathering in wireless sensor networks (WSN) is to use multiple mobile elements rather than a single mobile sink. However, the most challneging issues faced this approach are firstly the high network cost as a result of using large number of mobile elements. Secondly, it suffers from the difficulty of network partitioning to achieve an efficient load balancing among these mobile elements. In this study, a collaborative data collection algorithm (CDCA) is developed. Simulation results presented in this paper demonstrated that with this algorithm the latency is significantly reduced at small number of mobile elements. Furthermore, the performance of CDCA algorithm is compared with the Area Splitting Algorithm (ASA). Consequently, the CDCA showed superior performance in terms of network latency, load balancing, and the required number of mobile elements.
Volume: 9
Issue: 3
Page: 2131-2140
Publish at: 2019-06-01

Privileged authenticity in reconstruction of digital encrypted shares

10.11591/ijai.v8.i2.pp175-180
Joydeep Dey , Anirban Bhowmik , Arindam Sarkar , Sunil Karforma
Efficient message reconstruction mechanism depends on the entire partial shares received in random manner. This paper proposed a technique to ensure the authenticated accumulation of shares based on the privileged share. Threshold number of received shares inclusive of the privileged share, were being accumulated together to validate the original message. Although attaining threshold number of shares or more excluding the privileged share, it would not be possible to reconstruct the original message. Encryptional procedure has been put into the desired partial shares to confuse the evaesdroppers. Decisive parameter termed as hash tag has been extracted from the cumulative shares and bitwise checking procedure has been carried out. In appearance of first mismatch, rests of the checking bits were ignored, as test case put under failure transaction. Different statistical tests namely floating frequency, entropy value have proved the robustness of the proposed technique. Thus, extensive experiments were conducted to evaluate the security and efficiency with better productivity.
Volume: 8
Issue: 2
Page: 175-180
Publish at: 2019-06-01

Risk assessment of information production using extended risk matrix approach

10.12928/telkomnika.v17i3.10050
Jaka; Institut Teknologi Bandung Sembiring , Fitasari; Institut Teknologi Bandung Wiharni
In many cases poor information quality appears mainly due to in-effectiveness of information management including information production and delivery. Where this situation poses a certain risk. A holistic information risk management model has been previously proposed. But the model has some limitations especially on risk calculation and risk priority ranking as the model does not consider existing control effectiveness. In this paper, a new risk assessment method is proposed in order to improve the model of total impact of risks and to improve the accuracy of risk priority ranking by modifying the extended risk matrix approach (RMA) where we take into account the existing control effectiveness. Using our approach by adding a new dimension on extended RMA. We are able to improve the accuracy (7.15%) and reduced the ambiguity (1.34) of assessment results on real cases illustration.
Volume: 17
Issue: 3
Page: 1324-1337
Publish at: 2019-06-01

Comparison of exponential smoothing and neural network method to forecast rice production in Indonesia

10.12928/telkomnika.v17i3.11768
Gregorius; University of Indonesia Airlangga , Agatha; University of Indonesia Rachmat , Dodisutarma; University of Indonesia Lapihu
Rice is the most important food commodity in Indonesia. In order to achieve affordability, and the fulfillment of the national food consumption according to the Indonesia law no. 18 of 2012, Indonesia needs information to support the government's policy regarding the collection, processing, analyzing, storing, presenting and disseminating. One manifestation of the Information availability to support the government’s policy is forecasting. Exponential smoothing and neural network methods are commonly used to forecasting because it provides a satisfactory result. Our study are comparing the variants of exponential and backpropagation model as a neural network to forecast rice production. The evaluation is summarized by utilizing Mean Square Percentage Error (MAPE), Mean Square Error (MSE). The results show that neural network method is preferable than the statistics method since it has lower MSE and MAPE values than statistics method.
Volume: 17
Issue: 3
Page: 1367-1375
Publish at: 2019-06-01

Optimal tuning PID controller of unstable fractional order system by desired transient characteristics using RIM

10.11591/ijeecs.v14.i3.pp1177-1188
Phu Tran Tin , Le Anh Vu , Minh Tran , Nguyen Quang Dung , Tran Thanh Trang
In this paper, we propose the method of tuning a conventional PID controller for unstable transient characteristics. The results show that: 1) This is the novel practical method based on the desired settling time and overshoot percentage; 2) The results are close to the desired parameters; 3) The novel method can tune an unstable fractional order system by real interpolation method (RIM); 4) The novel method is simplicity and computer efficiency; 5) The novel method can find an optimal solution for tuning task in both academic and industrial purposes.
Volume: 14
Issue: 3
Page: 1177-1188
Publish at: 2019-06-01
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