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29,939 Article Results

Health belief model and the understanding of rational use of medicines

10.11591/ijphs.v10i2.20737
Putu Eka Arimbawa , I Putu Gede Adi Purwa Hita , Zainal Firdaus Wardhana
Community perception is an experience that causes a different understanding of treatment. Differences in people's perceptions of drug safety will affect their attitudes towards rational use of medicines (RUM). Therefore, it is necessary to do an in-depth measurement of public perceptions. The purpose of this study was to determine the relationship between community perceptions through the health belief model (HBM) with the understanding of (RUM). This study used a cross-sectional design with 97 samples in Denpasar City, Bali, Indonesia. Data collection was conducted from November 2019 to January 2020 using a questionnaire and analyzed using binary logistic tests. The results showed that perceptions based on perceived susceptibility perceived severity, health motivation, perceived benefits, and self-efficacy did not provide a significant relationship with the understanding of RUM (p>0.05). Perceived barriers provide significant results on the understanding of RUM (p<0.05). Health perceptions in allergy reporting and awareness of drug use based on clinical conditions and selection of alternatives increase understanding of rational drug use. The drug-taking procedure needs to be done quickly and according to the provisions to appropriately use the medication. Therefore, health workers' role is essential in providing complete services and information about drugs in health care, especially in symptomatic drugs.
Volume: 10
Issue: 2
Page: 411-417
Publish at: 2021-06-01

Why students tend to compare themselves with each other? The role of mattering and unconditional self-acceptance

10.11591/ijere.v10i2.21238
Shien-Yi Kam , Kususanto Ditto Prihadi
Previous studies suggested that university students who are not able to accept themselves tend to develop negative tendency to compare themselves with each other. This study aimed to investigate the role of unconditional self-acceptance (USA) in explaining the association between mattering and social comparison among Malaysian undergraduate students. Three hundred and seventy undergraduate students were recruited and asked to complete an online version of Unconditional Self-Acceptance questionnaire, Iowa-Netherlands Comparison Orientation Measure and University Mattering Scale. Data analysis was conducted by employing Bootstrap Method with 95% confidence interval and 5000 sampling. The result showed that USA partially mediated the relationship between mattering and social comparison. Mattering and USA were identified as robust protective factors of social comparison among university students.
Volume: 10
Issue: 2
Page: 441-447
Publish at: 2021-06-01

Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration

10.12928/telkomnika.v19i3.15223
Mohammed B.; Middle Technical University Essa , Lubna A.; Al-Mustafa University College Alnabi , Abbas K.; Ministry of Oil, Iraqi Drilling Company Dhaher
The population is speeding up and the demands for electrical energy are clearly increasing, this growth in load leads to higher power loss and Voltage drop. This paper is focused on a method to decrease the power losses and voltage profile improvement. The first suggested technique binary particle swarm optimization BPSO is utilized for solving the problem of the power loss minimization in network distribution. This work based on optimum position and sizing of the distribution generation (DG) units, shunt capacitor (SC) with network reconfiguration is applied to show the improvement of the network distribution efficiency. The MATLAB programming part and software package MATPOWER7 are used to simulate 69-bus and 33-bus test system with three different cases of loads and different number of DG and SC. The result showed a positive impact on system efficiency in comparison with other previous studies. This paper showed that increase of DG and capacitor does not usually give the best result although the increase of system cost, maintenance, and the units' distance for gas supplying.
Volume: 19
Issue: 3
Page: 1039-1049
Publish at: 2021-06-01

Visual victim detection and quadrotor-swarm coordination control in search and rescue environment

10.11591/ijece.v11i3.pp2079-2089
Gustavo A. Cardona , Juan Ramirez-Rugeles , Eduardo Mojica-Nava , Juan M. Calderon
We propose a distributed victim-detection algorithm through visual information on quadrotors using convolutional neuronal networks (CNN) in a search and rescue environment. Describing the navigation algorithm, which allows quadrotors to avoid collisions. Secondly, when one quadrotor detects a possible victim, it causes its closest neighbors to disconnect from the main swarm and form a new sub-swarm around the victim, which validates the victim’s status. Thus, a formation control that permits to acquire information is performed based on the well-known rendezvous consensus algorithm. Finally, images are processed using CNN identifying potential victims in the area. Given the uncertainty of the victim detection measurement among quadrotors’ cameras in the image processing, estimation consensus (EC) and max-estimation consensus (M-EC) algorithms are proposed focusing on agreeing over the victim detection estimation. We illustrate that M-EC delivers better results than EC in scenarios with poor visibility and uncertainty produced by fire and smoke. The algorithm proves that distributed fashion can obtain a more accurate result in decision-making on whether or not there is a victim, showing robustness under uncertainties and wrong measurements in comparison when a single quadrotor performs the mission. The well-functioning of the algorithm is evaluated by carrying out a simulation using V-Rep.
Volume: 11
Issue: 3
Page: 2079-2089
Publish at: 2021-06-01

Bigram feature extraction and conditional random fields model to improve text classification clinical trial document

10.12928/telkomnika.v19i3.18357
Jasmir; Universitas Sriwijaya Jasmir , Siti; Universitas Dinamika Bangsa Nurmaini , Reza Firsandaya; Universitas Sriwijaya Malik , Bambang; Universitas Sriwijaya Tutuko
In the field of health and medicine, there is a very important term known as clinical trials. Clinical trials are a type of activity that studies how the safest way to treat patients is. These clinical trials are usually written in unstructured free text which requires translation from a computer. The aim of this paper is to classify the texts of cancer clinical trial documents consisting of unstructured free texts taken from cancer clinical trial protocols. The proposed algorithm is conditional random Fields and bigram features. A new classification model from the cancer clinical trial document text is proposed to compete with other methods in terms of precision, recall, and f-1 score. The results of this study are better than the previous results, namely 88.07 precision, 88.05 recall and f-1 score 88.06.
Volume: 19
Issue: 3
Page: 886-892
Publish at: 2021-06-01

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

10.11591/ijeecs.v22.i3.pp1320-1326
Nastaran Reza Nazar Zadeh , Ameralden H. Abdulwakil , Mike Joshua R. Amar , Bernadette Durante , Christian Vincent Nico Reblando Santos
With the growth of technology and massive city development, firefighting services have become more challenging to cope with a smart-city concept. One of the challenges that firefighters are facing is reaching the top floors of high-raised buildings. Firefighters need heavy and oversized pieces of equipment to reach top floors, which they sometimes fail to deliver on time due to big cities' traffic. The proposed solution to this global problem is using firefighting unmanned aerial vehicle (UAV) to reach the top floors fast and efficiently; It can also provide a better vision for the firefighting team and slow down the spread of fire using fire extinguishing ball. In this paper, a noble design for a Firefighting UAV with shooting and dropping mechanism of fire extinguishing ball has been developed and successfully tested. A Camera with night vision has been integrated into the UAV to provide a helpful aid for firefighters. The UAV has a controller with a 2.4 GHz radio frequency (RF) signal and video surveillance to regulate the UAV's movement. The controller is also for activating the shooting and dropping mechanism. The researchers examined the behavior of the drone in terms of its stability and functionality.
Volume: 22
Issue: 3
Page: 1320-1326
Publish at: 2021-06-01

Two-versions of descent conjugate gradient methods for large-scale unconstrained optimization

10.11591/ijeecs.v22.i3.pp1643-1649
Hawraz N. Jabbar , Basim A. Hassan
The conjugate gradient methods are noted to be exceedingly valuable for solving large-scale unconstrained optimization problems since it needn't the storage of matrices. Mostly the parameter conjugate is the focus for conjugate gradient methods. The current paper proposes new methods of parameter of conjugate gradient type to solve problems of large-scale unconstrained optimization. A Hessian approximation in a diagonal matrix form on the basis of second and third-order Taylor series expansion was employed in this study. The sufficient descent property for the proposed algorithm are proved. The new method was converged globally. This new algorithm is found to be competitive to the algorithm of fletcher-reeves (FR) in a number of numerical experiments.
Volume: 22
Issue: 3
Page: 1643-1649
Publish at: 2021-06-01

A hybrid objective function with empirical stability aware to improve RPL for IoT applications

10.11591/ijece.v11i3.pp2350-2359
Abdelhadi Eloudrhiri Hassani , Aicha Sahel , Abdelmajid Badri , El Mourabit Ilham
The diverse applications of the internet of things (IoT) require adaptable routing protocol able to cope with several constraints. Thus, RPL protocol was designed to meet the needs for IoT networks categorized as low power and lossy networks (LLN). RPL uses an objective function based on specific metrics for preferred parents selection through these packets are sent to root. The single routing metric issue generally doesn’t satisfy all routing performance requirements, whereas some are improved others are degraded. In that purpose, we propose a hybrid objective function with empirical stability aware (HOFESA), implemented in the network layer of the embedded operating system CONTIKI, which combines linearly three weighty metrics namely hop count, RSSI and node energy consumption. Also, To remedy to frequent preferred parents changes problems caused by taking into account more than one metric, our proposal relies on static and empirical thresholds. The designed HOFESA, evaluated under COOJA emulator against Standard-RPL and EC-OF, showed a packet delivery ratio improvement, a decrease in the power consumption, the convergence time and DIO control messages as well as it gives network stability through an adequate churn.
Volume: 11
Issue: 3
Page: 2350-2359
Publish at: 2021-06-01

Web-based applications to develop students’ creativity in English for specific purposes

10.11591/ijere.v10i2.21248
Iryna Simkova , Oleksandra Bondarenko , Lina Bielovetska
This paper investigates the implementation of web-based applications to develop students’ creative thinking skills in English for Specific Purposes. The paper explores the role of web-based applications during creativity development in English for Specific Purposes classes. The attention is paid to the analysis of organizational levels of creative thinking development and concepts of creativity. This paper discusses how to achieve creative thinking during distance learning in English for Specific Purposes classes. The sample was 310 bachelor students from two Ukrainian universities. The sample was selected on the basis of the stratified sampling technique. The instruments were used F-test, the Likert-type scale test, and interviews. The study presents the results gained from interviews with Ukrainian students and results of creativity tests passed by students. The examples of tasks aimed at creative thinking achievement during distance learning in English for Specific Purposes classes are given. A comparative analysis of results has allowed emphasizing the positive experience of two Ukrainian universities, which can be implemented in future distance learning in the higher institutions located in other regions of Ukraine. The findings of this study support the idea that the development of creative thinking skills during the distance learning of bachelor students of different specialism can be intensified with the selection of proper web-based applications.
Volume: 10
Issue: 2
Page: 684-692
Publish at: 2021-06-01

Particle swarm optimization for solving thesis defense timetabling problem

10.12928/telkomnika.v19i3.18792
Gilbert; Universitas Multimedia Nusantara Christopher , Arya; Universitas Multimedia Nusantara Wicaksana
The thesis defense timetabling problem is a fascinating and original NP-hard optimization problem. The problem involves assigning the participants to defense sessions, composing the relevant committees, satisfying the constraints, and optimizing the objectives. This study defines the problem formulation that applies to Universitas Multimedia Nusantara (UMN) and use the particle swarm optimization (PSO) algorithm to solve it. As a demonstration of concept and viability, the proposed method is implemented in a web-based platform using Python and Flask. The implementation is tested and evaluated using real-world instances. The results show that the fastest timetable generation is 0.18 seconds, and the slowest is 21.88 minutes for 25 students and 18 department members, without any violation of the hard constraints. The overall score of the EUCS evaluation for the application is 4.3 out of 6.
Volume: 19
Issue: 3
Page: 762-769
Publish at: 2021-06-01

Amazigh-Sys: Intelligent system for recognition of amazigh words

10.11591/ijai.v10.i2.pp482-489
Rachid Ammari , Lahbib Zenkouar
Amazigh-sys is an intelligent morphological analysis system for Amazigh language based on xerox’s finite-state transducer (XFST). Our system can process simultaneously five lexical units. This paper begins with the development of Amazigh lexicon (AMAlex) for attested nouns, verbs, pronouns, prepositions, and adverbs and the characteristics relating to each lemma. A set of rules are added to define the inflectional behavior and morphosyntactic links of each entry as well as the relationship between the different lexical units. The use of finite-state technology ensures the bidirectionality of our system (analysis and generation). Amazigh-sys is the first general morphological analysis system for Amazigh based on xerox finite state able to process and recognize all lexical units and ensures a high recognition rate of input words. This contribution facilitates the implementation of other applications related to the automatic processing of the Amazigh language.
Volume: 10
Issue: 2
Page: 482-489
Publish at: 2021-06-01

Hybrid solar/wind/diesel water pumping system in Dubai, United Arab Emirates

10.11591/ijece.v11i3.pp2062-2067
Waleed Obaid , Abdul-Kadir Hamid , Chaouki Ghenai
This paper proposes a hybrid power system design for water pumping system in Dubai (Latitude 25.25 °N and Longitude 55 °E), United Arab Emirates using solar photovoltaic (PV) panels, wind turbines, and diesel generator. The proposed design considers the changes in weather conditions (humidity percentage, temperature in celsius, and wind speed in m/s) that directly affect solar irradiance values which alter the performance of the hybrid system. The proposed design deals with the problem of rare rainy days in Dubai between December and March and the high temperature throughout the year since that makes providing water to rural and isolated zones essential. The proposed system uses voltage regulator to maintain stable DC voltage from the solar power system, battery bank to store the voltage from solar PV panels, three-phase rectifier to convert the AC voltage from wind power system to DC, three-phase step-down transformers to reduce the AC voltage of the wind turbine and diesel generator, and DC electric motor for water pumping output. The system used neural network for solar irradiance forecasting over an interval of 10 years (from 2009 to 2019). The proposed system will be demonstrated using Simulink to show the stability and performance under different weather conditions.
Volume: 11
Issue: 3
Page: 2062-2067
Publish at: 2021-06-01

Early warning flood detector adopting camera by Sobel Canny edge detection algorithm method

10.11591/ijeecs.v22.i3.pp1796-1802
Satryo B. Utomo , Januar Fery Irawan , Rizqi Renafasih Alinra
Early warning of floods is an essential part of disaster management. Various automatic detectors have been developed in flood mitigation, including cameras. But reliability and accuracy have not been improved. Besides, the use of monitoring devices has been employed to monitor water levels in various water building facilities. The early warning flood detector was carried out with a sensor camera using an orange ball that floats near the water level gauge in a bounding box. This approach uses the integration of computer vision and image processing, namely digital image processing techniques, with Sobel Canny edge detection (SCED) algorithms to detect quickly and accurately water levels in real-time. After the water level is measured, a flood detection process is carried out based on the specified water level. According to the results of experiments in the laboratory, it has been shown that the proposed approach can detect objects accurately and fast in real-time. Besides, from the water level detection experiment, good results were obtained. Therefore, the object detection system and water level can be used as an efficient and accurate early detection system for flood disasters.
Volume: 22
Issue: 3
Page: 1796-1802
Publish at: 2021-06-01

The evolution of energy requirements of smartphones based on user behaviour and implications of the COVID-19 era

10.11591/ijece.v11i3.pp2423-2431
Abdullah Mahmoud Almasri , Luis Borges Gouveia
Smartphones have evolved to become frequent companions to humans. The common problem shared by Android users of smartphones was, and continues to be, about saving their batteries and preventing the need to use any recharging tools. A significant number of studies have been performed in the general field of "saving energy in smartphones". During a state of global lockdown, the use of smartphone devices has skyrocketed, and many governments have implemented location-tracking applications for their citizens as means of ensuring that the imposed governmental restrictions are being adhered to. Since smartphones are battery-powered, the opportunity to conserve electricity and ensure that the handset does not have to be charged so much or that it does not die and impede location-tracking during this period of crisis is of vital significance, impacting not only the reliability of tracking, but also the usability of the mobile itself. While there are methods to reduce the battery’s drain from mobile app use, they are not fully utilized by users. Simultaneously, the following the manuscript demonstrates the growing prevalence of mobile applications in daily lives, as well as the disproportionally increasing phone functionality, which results in the creation of a dependency towards smartphone use and the need of energy to recharge and operate theses smartphones.
Volume: 11
Issue: 3
Page: 2423-2431
Publish at: 2021-06-01

Automated tumor segmentation in MR brain image using fuzzy c-means clustering and seeded region methodology

10.11591/ijai.v10.i2.pp284-290
Mustafa Zuhaer Nayef AL-Dabagh
Automated segmentation of a tumor is still a considerably exciting research topic in the medical imaging processing field, and it plays a considerable role in forming a right diagnosis, to aid effective medical treatment. In this work, a fully automated system for segmentation of the brain tumor in MRI images is introduced. The suggested system consists of three parts: Initially, the image is pre-processed to enhance contrast, eliminate noise, and strip the skull from the image using filtering and morphological operations. Secondly, segmentation of the image happens using two techniques, fuzzy c-means clustering (FCM) and with the application of a seeded region growing algorithm (SGR). Thirdly, this method proposes a post-processing step to smooth segmentation region edges using morphological operations. The testing of the proposed system involved 233 patients, which included 287 MRI images. A comparison of the results ensued, with the manual verification of the traces performed by doctors, which ultimately proved an average Dice Coefficient of 90.13% and an average Jaccard Coefficient of 82.60% also, by comparison with traditional segmentation techniques such as FCM method. The segmentation results and quantitative data analysis demonstrates the effectiveness of the suggested system.
Volume: 10
Issue: 2
Page: 284-290
Publish at: 2021-06-01
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