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29,602 Article Results

Text to Emotion Extraction Using Supervised Machine Learning Techniques

10.12928/telkomnika.v16i3.8387
Muhammad Anwarul; University of Chittagong Azim , Mahmudul Hasan; University of Chittagong Bhuiyan
Proliferation of internet and social media has greatly increased the popularity of text communication. People convey their sentiment and emotion through text which promotes lively communication. Consequently, a tremendous amount of emotional text is generated on different social media and blogs in every moment. This has raised the necessity of automated tool for emotion mining from text. There are various rule based approaches of emotion extraction form text based on emotion intensity lexicon. However, creating emotion intensity lexicon is a time consuming and tedious process. Moreover, there is no hard and fast rule for assigning emotion intensity to words. To solve these difficulties, we propose a machine learning based approach of emotion extraction from text which relies on annotated example rather emotion intensity lexicon. We investigated Multinomial Naïve Bayesian (MNB) Classifier, Artificial Neural Network (ANN) and Support Vector Machine (SVM) for mining emotion from text. In our setup, SVM outperformed other classifiers with promising accuracy.
Volume: 16
Issue: 3
Page: 1394-1401
Publish at: 2018-06-01

Improved Vivaldi Antenna with Radiation Pattern Control Features

10.12928/telkomnika.v16i3.9039
Delphine; Universiti Teknologi Malaysia Abijuru , M.R.; Universiti Teknologi Malaysia Hamid , Ali N.; Universiti Teknologi Malaysia Obadiah
Vivaldi antenna has been considered as a mitigation to the scattering effect of an antenna. However, the current performance of Vivaldi antenna suffers from multipath effect, interfering signals and radiation pattern control. This paper proposed an improved Vivaldi antenna which combined triple radiating slot to enable control of radiation pattern features. This is accomplished by controlling the position of the radiating element through the asymmetric arrangement of ideal switches to steer the beam in three desired-directions. The Using operating frequency lied between 900 MHz and 2.5GHz, the proposed design was fabricated and tested. Depending on the radiating element, the proposed antenna covered about ±90º with an almost equal gain at the three different focal in contrast to ±45º coverage of traditional rectangular microstrip antenna beam. The results satisfied pattern reconfigurability and the proposed design can be very useful for wireless communications where multipath fading problems are frequently encountered.
Volume: 16
Issue: 3
Page: 1143-1149
Publish at: 2018-06-01

Weighted Ensemble Classifier for Plant Leaf Identification

10.12928/telkomnika.v16i3.7615
R. Putri; Bogor Agricultural University Ayu Pramesti , Yeni; Bogor Agricultural University Herdiyeni , Anto Satriyo; Bogor Agricultural University Nugroho
Plant leaf identification using image can be constructed by ensemble classifier. Ensemble classifier executes classification of various features independently. This experiment utilized texture feature and geometry feature of plant leaf to find out which features are more powerful. Each classifier trained by specific feature produced different accuracy rate. To integrate ensemble classifier the results of the classification were weighted, so as the score obtained from better features contributed greater to the final results. Weighted classification results were combined to get the final result. The proposed method was evaluated using dataset comprises of 156 variety of plants with 4559 images. Weighting and combining classifier used in this study were Weighted Majority Vote (WMV) and Naïve Bayes Combination. Both of those method result showed better accuracy than using single classifier. The average accuracy of single classifier was 61.2% for geometry classifier and 70.3% for texture classifier, while WMV method was 77.8% and Naïve Bayes Combination was 94.6%. The calculation of classifier’s weight by using WMV method produces a weight value of 0.54 for texture feature classifier and 0.46 for geometry feature classifier.
Volume: 16
Issue: 3
Page: 1386-1393
Publish at: 2018-06-01

The Implementation of E-Learning System Governance to Deal with User Need, Institution Objective, and Regulation Compliance

10.12928/telkomnika.v16i3.8699
Mujiono; Universitas Mercu Buana Sadikin , Purwanto; Universitas Mercu Buana SK
In this digital era, it has been proven that the proper of e-learning system implementation provides various advantages and huge benefits. But to achieve the proper implementation is not an easy way since there are many obstacles have to be addressed. Beside the benefits and advantages, such as the other IT based system, e-learning also bring many risks that come from its environment or embedded in. Although many methods or approaches proposed to tackle those obstacles and risks, but the study that tackle those problems from IT Governance view is still limited. The study presents the report of the IT Governance approach to address some of the risks of eLearning system implementation such as: miss alignment with the enterprise goal and strategies, uncomplianceness with the government regulation, and unmatched with the stakeholder needs. The governance of eLearning system proposed has been implemented in the private university situated in Jakarta, Indonesia for two semesters. Based on the general observation, the University can get some benefits such as their succeed in maintaining its institution as the university that comply with government regulatory.
Volume: 16
Issue: 3
Page: 1332-1344
Publish at: 2018-06-01

Enhanced Fertigation Control System towards Higher Water Saving Irrigation

10.11591/ijeecs.v10.i3.pp859-866
Muhammad Khairie Idham Abd Rahman , Mohamad Shukri Zainal Abidin , Salinda Buyamin , Mohd Saiful Azimi Mahmud
Water saving in agriculture is increasingly important due to critical issues of water and climatic crisis. The focus of agricultural researches nowadays is to minimize the water consumption and at the same time increasing the agricultural yield.   This paper presents the three-types of automatic fertigation controller for irrigation system with different application tools. A weather station, soil moisture and timer based system were used to determine the volume of water supply needed by plants to calculate an accurate irrigation operation timing. The experiment was conducted by supplying water for capsicum annum test crop located in a greenhouse. The plant water demand parameter was calculated and compared for each application tools and the best application tool was chosen to be implemented in controlling the irrigation system.
Volume: 10
Issue: 3
Page: 859-866
Publish at: 2018-06-01

Behavioral Analysis for Detecting Code Clones

10.12928/telkomnika.v16i3.4442
Bayu; Brawijaya University Priyambadha , Siti; Institut Teknologi Sepuluh Nopember Rochimah
The activities of copy and paste fragments of code from a source code into the other source code is often done by software developers because it's easier than generate code manually. This behavior leads to the increase of effort to maintain the code. One of the detection methods of semantic cloning is based on the behavior of the code. The code behavior detected by observing at an input, output and the effects of the method. Methods with the same value of input, output, and effect will indicate that semantically the same. However, the detection method based on the input, output, and effect could not be used in a void method or method without parameters, another side comprehensively detection is required. The challenge is how to detect which variable in a method that acts as input, output, and effect. Detection of the variable input, output, and effects in a void method done using Program Dependence Graph. The use of clone detection methods semantically based on behavior can increase the agreement value.
Volume: 16
Issue: 3
Page: 1264-1275
Publish at: 2018-06-01

Development of Fuzzy Logic Control for Indoor Lighting Using LEDs Group

10.12928/telkomnika.v16i3.8048
M.; Universitas Negeri Yogyakarta Khairudin , S.; Universitas Negeri Yogyakarta Riyanto , Z.; Universiti Teknologi Malaysia Mohammed
This paper presents the design and the development of an indoor lighting control based on fuzzy logic controller (FLC). The objective of this study is to demonstrate how the FLC can optimize the lighting based on indoor and outdoor lighting environments. The FLC system uses two inputs with Light Dependent Resistors (LDR) as a sensor at indoor and outdoor lighting environments. The output is Light Emitting Diodes (LEDs) to provide lighting at the room automatically. The Pulse Width Modulation (PWM) is used to adjust the LEDs lighting in the room. FLC has successfully demonstrated performance to control the output of LEDs as needed. If the LDR 1 input as indoor sensor shows dim, it will automatically turn on brightly. The MSE values for simulation and experiment of LDR 1 and LDR 2 were 34.42 and 30.11 respectively. The results of FLC performance in the simulation work are further validated by an experimental work. Experimental results show similarities compared to the simulation results.
Volume: 16
Issue: 3
Page: 1165-1173
Publish at: 2018-06-01

New Trends in Internet of Things, Applications, Challenges, and Solutions

10.12928/telkomnika.v16i3.8483
Yousra Abdul; University of Baghdad Alsahib S.aldeen , Kashif Naseer; Bahria University Qureshi
Internet of things (IoT) refers to an innovation and advance field to introduce a new concept of technologies with various potential advantages. In IoT, different types of diverse smart devices and gadgets with smart communication interfaces are connected with each other and offers the plethora of services in our daily life. IoT has gained attention in all fields of life like e-home, e-commerce, e-health, smart grids, intelligent transportation systems, and e-governance. The objects in IoT increasing preponderance of entities and transform objects into new and real-world objects. In this review paper, we discuss the new trend in IoT, its applications and recent challenges and their solutions. In addition, the paper also elaborates the existing systems, IoT architecture and technical aspects with future trends in the field. This review will be helpful to new researchers to find the existing technologies and challenges in order to continue their research in the field.
Volume: 16
Issue: 3
Page: 1114-1119
Publish at: 2018-06-01

On-Body Transmission Single-Band Diamond Dipole Antenna with Waveguide Jacket

10.11591/ijeecs.v10.i3.pp1212-1220
M. A. Abdullah , M. K. A Rahim , N. A. Samsuri , K. Kamardin
This paper presents the investigation of on-body transmission single-band diamond dipole antenna with three different jackets. The jackets are named as normal jacket, grounding jacket and waveguide jacket. The on-body transmission is measured using two flexible single-band antennas attach to the jackets. A man with the height of 180 cm and 75 kg weight becomes as a model for the real measurement. The measurement is conducted in small space area by using portable network analyzer with flexible network cable. The measurement results show that the best performance for on-body transmission is with waveguide jacket. 10 dB transmission improvement is archived when the antenna is placed above the waveguide jacket compared to the normal jacket. It is found that the transmission of the antenna is also depends on the antenna orientation and further transmission lossess occur when the antennas are placed above the grounding jacket.
Volume: 10
Issue: 3
Page: 1212-1220
Publish at: 2018-06-01

A Simple Classifier for Detecting Online Child Grooming Conversation

10.12928/telkomnika.v16i3.6745
Fergyanto E.; Bina Nusantara University Gunawan , Livia; Bina Nusantara University Ashianti , Nobumasa; Toyohashi University of Technology Sekishita
The massive proliferation of social media has opened possibilities for the perpetrator conducting the crime of online child grooming. Because the pervasiveness of the problem scale, it may only be tamed effectively and efficiently by using an automatic grooming conversation detection system. The current study intends to address the issue by using Support Vector Machine and k-nearest neighbors’ classifiers. Besides, the study also proposes a low-computational cost classification method, which classifies a conversation using the number of the existing grooming conversation characteristics. All proposed methods are evaluated using 150 textual conversations of which 105 are grooming, and 45 are non-grooming. We identify that grooming conversations possess 17 features of grooming characteristics. The results suggest that the SVM and k-NN can identify grooming conversations at 98.6% and 97.8% of the level of accuracy. Meanwhile, the proposed simple method has 96.8% accuracy. The empirical study also suggests that two among the seventeen characteristics are insignificant for the classification.
Volume: 16
Issue: 3
Page: 1239-1248
Publish at: 2018-06-01

Improving Sentiment Analysis of Short Informal Indonesian Product Reviews using Synonym Based Feature Expansion

10.12928/telkomnika.v16i3.7751
M. Ali; Universitas Brawijaya Fauzi , Ro'i Fahreza; Universitas Brawijaya Nur Firmansyah , Tri; Universitas Brawijaya Afirianto
Sentiment analysis in short informal texts like product reviews is more challenging. Short texts are sparse, noisy, and lack of context information. Traditional text classification methods may not be suitable for analyzing sentiment of short texts given all those difficulties. A common approach to overcome these problems is to enrich the original texts with additional semantics to make it appear like a large document of text. Then, traditional classification methods can be applied to it. In this study, we developed an automatic sentiment analysis system of short informal Indonesian texts using Naïve Bayes and Synonym Based Feature Expansion. The system consists of three main stages, preprocessing and normalization, features expansion and classification. After preprocessing and normalization, we utilize Kateglo to find some synonyms of every words in original texts and append them. Finally, the text is classified using Naïve Bayes. The experiment shows that the proposed method can improve the performance of sentiment analysis of short informal Indonesian product reviews. The best sentiment classification performance using proposed feature expansion is obtained by accuracy of 98%.The experiment also show that feature expansion will give higher improvement in small number of training data than in the large number of them.
Volume: 16
Issue: 3
Page: 1345-1350
Publish at: 2018-06-01

A Smart Monitoring of a Water Quality Detector System

10.11591/ijeecs.v10.i3.pp951-958
S. I. Samsudin , S. I. M. Salim , K. Osman , S. F. Sulaiman , M. I. A. Sabri
The importance to monitor the water quality level is undeniable due to significant impact to human health and ecosystem. The project aims to develop a wireless water quality monitoring system that aids in continuous measurements of water conditions based on pH and turbidity measurements. These two sensors are connected to microprocessor and transmitted to the database by using a Wi-Fi module as a bridge. The developed system was successfully detect both the pH and turbidity values hence updating in IoT platform. Based on the results obtained, the test water sample can be classified to class IIB which is suitable for water recreational used body contact. Overall, the developed system offers fast and easy monitoring of pH and turbidity levels with IoT application for continuous maintenance of clean water. The work is just concern on the physical water parameters hence further extend to chemical parameter for verifying a better result in measuring the WQI value.
Volume: 10
Issue: 3
Page: 951-958
Publish at: 2018-06-01

Stereo Vision Human Motion Detection and Tracking in Uncontrolled Environment

10.12928/telkomnika.v16i3.9033
Bunseng; University Malaysia Chan , King Hann; University Malaysia Lim , Lenin; University Malaysia Gopal , Alpha Agape; University Malaysia Gopalai , Darwin; University Malaysia Gouwanda
Stereo vision in detecting human motion is an emerging research for automation, robotics, and sports science field due to the advancement of imaging sensors and information technology. The difficulty of human motion detection and tracking is relatively complex when it is applied to uncontrolled environment. In this paper, a hybrid filter approach is proposed to detect human motion in the stereo vision. The hybrid filter approach integrates Gaussian filter and median filter to reduce the coverage of shadow and sudden change of illumination. In addition, sequential thinning and thickening morphological method is used to construct the skeleton model. The proposed hybrid approach is compared with the normalized filter. As a result, the proposed approach produces better skeleton model with less influential effect on shadow and illumination. The output results of the proposed approach can show up to 86% of average accuracy matched with skeleton model. In addition, obtains approximately 94% of sensitivity measurement in the stereo vision. The proposed approach using hybrid filter and sequential morphology could improve the performance of the detection in the uncontrolled environment.
Volume: 16
Issue: 3
Page: 955-964
Publish at: 2018-06-01

Improvement of Power Quality Using Fuzzy Controlled D-STATCOM in Distribution System

10.11591/ijai.v7.i2.pp83-89
B. Santhosh Kumar , K.B. Madhu Sahu , K.B. Saikiran , CH. Krishna Rao
This paper investigates the problems associated with distribution system in terms of delivery of clean power and their solutions. Power quality has become a major issue in the present power system network. The network has mostly inductive nature.  This draws more reactive power.  This causes harmonics and voltage unbalance problems. So maintain the proper operation of interconnected power system, we are using one of the facts devices such as fuzzy controlled D-statcom. It provides suitable compensation and there by maintain proper power factor and also reduces harmonic contents.  The simulation is taken out by MATLAB/SIMULINK and the result shows the effectiveness of GA (Genetic algorithm) simulation. Optimized Fuzzy controlled D-STATCOM for improvement of power quality.
Volume: 7
Issue: 2
Page: 83-89
Publish at: 2018-06-01

Generating Travel Itinerary Using Ant Collony Optimization

10.12928/telkomnika.v16i3.7268
ZK. Abdurahman; Telkom University Baizal , Aniq A; Telkom University Rahmawati , Kemas M; Telkom University Lhaksmana , Moh Z; Telkom University Mubarok , M.; Telkom University Qadrian
Travelling is one of the activities needed by everyone to overcome weariness. The number of information about the tourism destination on the internet sometimes does not provide easiness for oncoming tourists. This paper proposes a system capable of making travel itinerary, for tourists who want to visit an area within a few days. For generating itinerary, the system considers several criterias (Multi-criteria-based), which include the popularity level of tourist attractions to visit, tourist visits that minimize budgets or tourist visits with as many destinations as possible. To handle multi criteria-based itinerary, we use the concept of multi attribute utility theory (MAUT). The running time of multi criteria-based itinerary is not significantly different from time-based itinerary. In addition, the number of tourist attractions in the itinerary is more than time-based itinerary, because the combination of solutions from each ant becomes more diverse.
Volume: 16
Issue: 3
Page: 1208-1216
Publish at: 2018-06-01
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