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31,456 Article Results

A robust maximum power point tracking control for PV panel using adaptive PI controller based on fuzzy logic

10.12928/telkomnika.v18i6.17271
Slamet; Renewable Energy and Energy Conservation Technology of Ministry of Energy and Mineral Resources (KESDM) Slamet , Estiko; Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences (LIPI), Kampus LIPI Rijanto , Asep; Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences (LIPI), Kampus LIPI Nugroho , R. A.; Universiti Teknologi Malaysia Ghani
Most methods of maximum power point tracking (MPPT) for photovoltaic (PV) focus only on tracking performance while robustness against disturbances hasrarely been addressed. This paper proposes a new MPPT control method that provides robustness against direct current (DC) link voltage disturbance as well as good tracking performance. The method uses indirect MPPT control topology which incorporates two controllers. For the external controller, we use an adaptive proportional-integral (PI) control which is real-time tuned by fuzzy logic (FL). New membership functions and rule base are proposed using only one fuzzy input variable and 10 fuzzy rules. The internal controller is a PI controller. The PV panelis connected to a boost DC-DC converter. The proposed MPPT control iscompared with the fuzzy logic controller (FLC). Performance is evaluated under DC link voltage disturbance, steady-state condition, and rapid solar radiation changes. Simulation results indicate that the proposed method provides 41.2 % better robustness against DC link voltage disturbance as compared to the direct FLC. Experimental results under natural climate conditions with real solar radiation  validate that the proposed method works well in regulating the MPP at steady-state solar irradiance as well as in tracking the MPP towards rapid solar irradiance changes. It yields the PV power tracking speed of 95.75 W/s.
Volume: 18
Issue: 6
Page: 2999-3010
Publish at: 2020-12-01

Face recognition using viola-jones depending on python

10.11591/ijeecs.v20.i3.pp1513-1521
Khansaa Dheyaa Ismael , Stanciu Irina
In this paper, the proposed software system based on face recognition the proposed system can be implemented in the smart building or any VIP building need security interring in general, The human face will be recognized from a stream of pictures or video feed, this technology recognizes the person according to the specific algorithm, the algorithm that employed in this paper is the Viola–Jones object detection framework by using Python. The task of the proposed facial recognition system consists of two steps, the first one was detected the human face from live video using the webcamera in the computer, and the second step recognizes if this face allowed to enter the building or not by comparing it with the existing database, the two steps depending on the OpenCV python by importing cv2 method for detecting the human face, the frames can be read or written to file with the cv2.imread and cv2.imwrite functions respectively Finally, this proposed software system can be used to control access in smart buildings as a rule and the advancement of techniques connected around there, Providing a security system is one of the most important features must be achieved in the smart buildings, this proposed system can be used as an application in a smart building as a security system. Face recognition is one of the most important applications using today for practical facial recognition. The proposed software system, depending on using OpenCV (open source computer vision) is a popular computer vision library, in 1999 this library started by Intel. The platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms. OpenCV 2.3.1 now comes with a programming interface to C, C++, Python, and Android. OpenCV library of python, the three algorithms that will be used in this proposed system. The currently available algorithms are: Eigenfaces → createEigenFaceRecognizer(). Fisherfaces → createFisherFaceRecognizer(). Local Binary Patterns Histograms → createLBPHFaceRecognizer(). Finally the proposed system provide entering to the building just for the authorized person according to face recognition algorithem. 
Volume: 20
Issue: 3
Page: 1513-1521
Publish at: 2020-12-01

Prevalence of malnutrition among under-five children in Al-Nohoud province Western Kordufan, Sudan

10.11591/ijphs.v9i4.20520
Elmanssury A. Elnadif
Malnutrition remains one of the most common causes of childhood morbidity and mortality worldwide. The objective of this research was to determine the prevalence of malnutrition and related factors among Al-Nohoud children between 6-59 months of age. For the choice of parts, blocks and households, a three-stage sample design was used. Data collection was focused on anthropometric tests and structured questionnaires. The prevailing low weight, stunting and wasting of 16.7%, 13.5% and 17.6%, respectively, was shown. Two thirds (67%) %) of the affected children were 24 months. Female children were further underweight than male children. Home-wives achieved lower education levels and were higher in the mothers of malnourished children than those with healthy children. This study found that age of mothers, mother and family income have substantial malnutrition linked to children under the age of five (p= 000, X2= 57.40) (p= .004, X2= 41.00) (p= .00, X2= 32.74). The study found that under-five children were particularly malnutrition. Age ranges were significantly linked to wasting, stunting and underweight. Sex, mother's age, mother's level of education and family income differ greatly from malnutrition for children under the age of five.
Volume: 9
Issue: 4
Page: 352-357
Publish at: 2020-12-01

The role of social support and self-regulation on work readiness among students in vocational high school

10.11591/ijere.v9i4.20578
Fatwa Tentama , Eva Riyansha Riskiyana
Work readiness is an important factor that can determine the quality of prospective graduates and vocational high schools as one of the educational institutions that prepare human resources to need to pay attention to factors that can improve work readiness. This study aimed to empirically examine how social support and self-regulation influence the work readiness of vocational High School students. The population in this study was all students of grade XII in Vocational High School Muhammadiyah 1 Yogyakarta (a vocational high school), totaling 170 students, and the sample of this study was 111 students. The sampling technique used was randomized sampling using cluster random sampling technique. The data were collected with the work readiness scale, social support scale, and self-regulation scale. The data were then analyzed with multiple linear regression techniques. There was a very significant correlation between social support and selfregulation and they simultaneously influence work readiness (r = 0.490, p = 0.000). There was a very significant correlation between social support and work readiness (r = 0.344, p = 0.000). There is a very significant correlation between self-regulation and work readiness (r = 0.490, p = 0.000). Selfregulation plays dominant role in shaping work readiness.
Volume: 9
Issue: 4
Page: 826-832
Publish at: 2020-12-01

Barrier and facilitator on breastfeeding education and promotion: A literature review

10.11591/ijphs.v9i4.20495
Lina Handayani , Maya Kusuma Dewi , Lafi Munira
Breast milk contains many nutrients according to the needs of the baby for growth and development. Breast milk is very important for the health and well-being of infants. The world health organization recommends exclusive breastfeeding mothers for six months starting from the baby's first life and continuing until the age of two. Breastfeeding can provide economic benefits for the family and community. This study aimed to explore the barrier and facilitator on breastfeeding promotion and education. This study was literature study. This study finding that support from the baby's father is needed as a strong decision exclusively breastfeeding mothers. Pediatricians and midwives have an important role to support in providing exclusive breastfeeding from mothers and infants. Mothers who work full time find it very difficult to care for their babies exclusively. The workplace can be a barrier for mothers to care for and provide exclusive breastfeeding. Breastfeeding competency-based training is needed as a more optimal promotion of exclusive breastfeeding. Promotion of breastfeeding can increase the duration and exclusivity of breastfeeding. Knowledge promotes breastfeeding can increase the chances of successful breastfeeding and improve baby's health. An important role in the successful promotion of breastfeeding is the quality of knowledge and support for exclusive breastfeeding.
Volume: 9
Issue: 4
Page: 320-326
Publish at: 2020-12-01

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

10.11591/ijeecs.v20.i3.pp1613-1625
Subhi Aswad Mohammed , Osama Ali Awad , Abdulkareem Merhej Radhi
This paper presents a design, simulation and performance evaluation of an optimized model for the heating, ventilation and air-conditioning (HVAC) systems using intelligent control algorithm. Fanger’s comfort method and genetic algorithms were used to obtain the optimal and initial values. The heat transmission coefficient between internal and external environments were determined depending on several inputs and factors acquired via supervisory control and data acquisition (SCADA) system sensors. The main feature of the real-time model is the prediction of the internal buildings environment, in order to control HVAC system for indoor environment and to utilize the optimum power consumed depending on optimized air temperature value. The predicted air temperature value and predictive mean vote (PMV) value was applied using intelligent algorithm to obtain an optimal comfort level of the air temperature. The optimized air temperature value can be used in HVAC system controller to ensure that the temperature of indoor can reach a specific value after a known period of time. The use of genetic algorithm (GE) ensures that the used power is well below its peak value and maintains the comfort of the user’s environment.
Volume: 20
Issue: 3
Page: 1613-1625
Publish at: 2020-12-01

Knowledge about COVID-19 among university students before the implementation of the enhanced community quarantine in Philippines

10.11591/ijphs.v9i4.20545
Jomell Miranda Santiago , Rita L. Cajucom
The purpose of this study was to determine the knowledge of the students about Coronavirus Disease-2019 (COVID-19) before the Philippines government implements the enhanced community quarantine in Luzon. A descriptive research design was conducted among the students of Nueva Ecija University of Science and Technology, San Isidro Campus. The sample size was computed by using the Epi-Info version 2000 Computer Programme. Questionnaire was used to collect data that was composed of the profile, questions regarding their knowledge about COVID-19 and their source of knowledge. Permission to conduct and informed consent was obtained before the respondent answer the questionnaire. Data were analyzed using various statistical tools. Majority of the respondents had an average and good knowledge while sex was the only variable that differs significantly in their knowledge about COVID-19. Social media and seminars in the school were among their primary source of knowledge. It is concluded that students‟ knowledge about COVID-19 was sufficient. However, the absence of vaccines against COVID-19, prevention and control of the disease was the only way to fight it which requires organizing health education campaigns in different communities to disseminate more information on how everybody can effectively deal with this pandemic.
Volume: 9
Issue: 4
Page: 421-428
Publish at: 2020-12-01

Digital-based instruction: Chances and challenges in English language teaching context

10.11591/ijere.v9i4.20579
Ningtyas Orilina Argawati , Lilis Suryani
The use of Digital Based Instruction (DBI) nowadays seems to have many obstacles and difficulties. It is due to lack of digital literacy both lecturers and students. Meanwhile, many advantages also emerge through the use of DBI. It becomes the reason for the lecturers to keep on trying to develop their digital literacy to occupy the need of DBI to their English Language Teaching (ELT) class. This study aimed at revealing the chances and challenges of the implementation of DBI. Descriptive qualitative was employed in this study which involved the use of observation and interview as the instruments. The participants of this study were five English lecturers and 200 students. The findings showed that the chances of applying DBI cover activating students, elevating digital literacy, provoking students’ creativity, and creating new application. While some challenges are also emerged. It is due to limited devices and access, and limited digital literacy. The implementation of DBI could provoke the elevation of digital literacy and creativity if we could handle the challenges.
Volume: 9
Issue: 4
Page: 1138-1144
Publish at: 2020-12-01

How does forgiveness therapy versus emotion-focused therapy reduce violent behavior schizophrenia post restrain at East Java, Indonesia?

10.11591/ijphs.v9i4.20538
Muhammad Suhron , Ah. Yusuf , Rika Subarniati , Faisal Amir , Zakkiyatus Zainiyah
Based on the violent behavior, the data obtained in the last 6 months using population of psychiatric inpatients with violent behavior of 64 patients. The purpose of this study was to analyze the effect of forgiveness therapy that focused on emotions of violent behavior in post restrain schizophrenia. This research method used a Quasi-experimental design. The independent variable was forgiveness therapy that focused on emotions. The dependent variable was violent behavior. The populations were 64 patients with violent behavior using a simple random sampling technique and for the sample were 52 patients. Collecting data using general adaptive function response score (GAFR) observation sheets with Wilcoxon and Mann Whitney statistical tests. Wilcoxon test showed (p-value 0.002) after being given forgiveness therapy. The Wilcoxon test showed (p-value 0.513) after being given therapy that focused on emotions it can be concluded that there are differences in violent behavior before and after therapy of forgiveness and therapy that focused on emotions. Mann Whitney test results obtained (p-value 0.016) remission therapy was more effective in reducing the violent behavior of post restrain schizophrenia.
Volume: 9
Issue: 4
Page: 314-319
Publish at: 2020-12-01

The selection of the relevant association rules using the ELECTRE method with multiple criteria

10.11591/ijai.v9.i4.pp638-645
Azzeddine Dahbi , siham jabri , youssef balouki , Taoufiq Gadi
The extraction of association rules is a very attractive data mining task and the most widespread in the business world and in modern society, trying to obtain the interesting relationship and connection between collections of articles, products or items in high transactional databases. The immense quantity of association rules obtained expresses the main obstacle that a decision maker can handle. Consequently, in order to establish the most interesting association rules, several interestingness measures have been introduced. Currently, there is no optimal measure that can be chosen to judge the selected association rules. To avoid this problem we suggest to apply ELECTRE method one of the multi-criteria decision making, taking into consideration a formal study of measures of interest according to structural properties, and intending to find a good compromise and select the most interesting association rules without eliminating any measures. Experiments conducted on reference data sets show a significant improvement in the performance of the proposed strategy.
Volume: 9
Issue: 4
Page: 638-645
Publish at: 2020-12-01

Internet of things (IoT): a technology review, security issues, threats, and open challenges

10.11591/ijeecs.v20.i3.pp1685-1692
Alaa Ahmed Abbood , Qahtan Makki Shallal , Mohammed A. Fadhel
Internet of things (IoT) devices are spread in different areas such as e-tracking, e-commerce, e-home, and e-health, etc. Thus, during the last ten years, the internet of things technology (IoT) has been a research focus. Both privacy and security are the key concerns for the applications of IoT, and still face a huge number of challenges. There are many elements used to run the IoT technology which include hardware and software such as sensors, GPS, cameras, applications, and so forth. In this paper, we have analyzed and explain the technology of IoT along with its elements, security features, security issues, and threats that attached to each layer of IoT to guide the consideration of researchers into solve and understand the most serious problems in IoT environment.
Volume: 20
Issue: 3
Page: 1685-1692
Publish at: 2020-12-01

The effect of adolescent reproductive health education on premarital sexual behavior

10.11591/ijphs.v9i4.20444
Murdiningsih Murdiningsih , Rohaya Rohaya , St Hindun , Ocktariyana Ocktariyana
A lack of communication, support, and information from parents on sexual issues are involved an inability to prevent or intervene in the sexual activity of adolescents. This study aimed to determine the effect of adolescent reproductive health education on premarital sexual behavior in Palembang, Indonesia. This study was an experimental design with pre and post-intervention. The 192 students were obtained based on the criteria of samples required. The result of bivariate analysis between the Chi-Square confounding variable and premarital sexual behavior after the intervention shows that there is a significant relationship between knowledge about sex, reproductive health, and attitudes with premarital sexual behavior. There is a significant relationship between control behavior and sexual behavior after performing the intervention (p= 0.00). The result of multivariate shows that there is a dominant variable that is the variable of knowledge about reproductive health (p= 0.00). This study suggested that information about adolescent reproductive health should be included in the curriculum, especially in Biology class.
Volume: 9
Issue: 4
Page: 327-232
Publish at: 2020-12-01

An image-based gangrene disease classification

10.11591/ijece.v10i6.pp6001-6007
Pramod Sekharan Nair , Tsrity Asefa Berihu , Varun Kumar
Gangrene disease is one of the deadliest diseases on the globe which is caused by lack of blood supply to the body parts or any kind of infection. The gangrene disease often affects the human body parts such as fingers, limbs, toes but there are many cases of on muscles and organs. In this paper, the gangrene disease classification is being done from the given images of high resolution. The convolutional neural network (CNN) is used for feature extraction on disease images. The first layer of the convolutional neural network was used to capture the elementary image features such as dots, edges and blobs. The intermediate layers or the hidden layers of the convolutional neural network extracts detailed image features such as shapes, brightness, and contrast as well as color. Finally, the CNN extracted features are given to the Support Vector Machine to classify the gangrene disease. The experiment results show the approach adopted in this study performs better and acceptable.
Volume: 10
Issue: 6
Page: 6001-6007
Publish at: 2020-12-01

Experimental simplified rule of self tuning fuzzy logic-model reference adaptive speed controller for induction motor drive

10.11591/ijeecs.v20.i3.pp1653-1664
M.Z. Ismail , M.H.N. Talib , Z. Ibrahim , J. Mat Lazi , Z. Rasin
Fuzzy logic controller (FLC) has shown excellent performance in dealing with the non-linearity and complex dynamic model of the induction motor. However, a conventional constant parameter FLC (CPFL) will not be able to provide–good coverage performance for a wide speed range operation with a single tuning parameter. Therefore, this paper proposed a self tuning mechanism FLC approach by model reference adaptive controller (ST-MRAC) to continuously allow to adjust the parameters. Due to real time hardware application, the dominant rules selection method for simplified rules has been implemented as part of the reducing computational burden. Experiment results validate a good performance of the ST-MRAC compared to the CPFL for the   speed performance in terms of the wide range of operations and disturbance showed remarkable performance.
Volume: 20
Issue: 3
Page: 1653-1664
Publish at: 2020-12-01

Analysis of public search interest towards immune system improvement during the COVID-19 pandemic using Google Trends

10.11591/ijphs.v9i4.20518
Linda Amelia , Rizma Adlia Syakurah
In combating COVID-19, maintaining the immune system is important. Providing this information to the general population will increase public awareness towards improving their immune system. The use of Google Trends for exploring web behavior related to a topic or search term also considered as a tool for monitoring public awareness to help risk communication during the COVID-19 pandemic. Therefore, this study was conducted to assess the use of Google Trends to monitor public awareness to immune system improvement during the COVID-19 pandemic in Indonesia. This quantitative and qualitative research used time-series data from 31 December 2019 to 2 May 2020. The time-lag correlation analysis was performed to compare between relative search volume (RSV) of “Vitamin C”, “Vaksin” (Vaccine), “Berjemur” (Sunbathing) from Google Trends (GT), and the number of reported COVID-19 new cases. Validation using time-lag correlation shows the significant correlation between RSV keywords related to public awareness towards immune system improvement and the number of COVID-19 cases in Indonesia in 1-3 days before an increase in the number of cases occurs. Google Trends has the potential to become an early warning system and a tool for monitoring risk communication towards immune system improvement during the COVID-19 pandemic by Indonesia Government.
Volume: 9
Issue: 4
Page: 414-420
Publish at: 2020-12-01
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