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31,456 Article Results

The resilience among suicide attempt survivor

10.11591/ijphs.v9i3.20382
Fatwa Tentama , Tri Wahyuni Sukesi , Surahma Asti Mulasari , Sulistyawati Sulistyawati
Suicide incidents in Gunungkidul, Indonesia have increased from year by year. This phenomenon is of great importance to study to find a proper solution. Based on the data it has been found that people who have committed suicide but have been saved (survived). To date, they have managed to survive and carry out their daily activities well. The majority of suicide attempts are caused by unpleasant experiences in the past. The purpose of this study was to assess the resilience of suicide survivors who can be used to motivate people who intend or who survived suicide to get back up. This research used a qualitative approach with a phenomenological method. The location of this research was in Gunungkidul Regency. The subjects of this study were four people who were obtained by using purposive sampling technique. Several in-depth interviews were carried out to collect the data from the respondent.  The results show that the factors supporting the resilience of survivors to suicide were the ability to control emotions and impulses, self-efficacy and optimism, the ability to analyze the causes of problems, empathy, and the ability to achieve what was desired.
Volume: 9
Issue: 3
Page: 235-244
Publish at: 2020-09-01

Contamination rate of commonly consumed fresh vegetables and fruits with parasites of medically importance in Wolkite and Butajira Towns of Gurage Zone, Southern Ethiopia

10.11591/ijphs.v9i3.20395
Fitsum Bekele , Teha Shumbej , Andamlak Dendir , Dereje Mesfin , Absra Solomon
Intestinal parasitic infections are among the most common on causes  of disease in humans, responsible for considerable morbidity and mortality. Commonly consumed raw vegetables and fruits are among the ways through which humans become infected with parasites of medical importance. A prospective cross-sectional study with an aim of describing the parasite contamination rate of raw fresh vegetables and fruits sold at the central open-aired market of Butajira and Wolkite towns, in southern Ethiopia was conducted on a total of 270 fresh vegetable and fruits samples. Standardized parasitological techniques were employed to detect diagnostic stages of parasites.98 out of the 270 (36.3%) samples were found positive for intestinal parasites. Remarkably, twenty eight out of the forty five cabbage samples analyzed, 62.2%, were found to be contaminated with parasites of medical importance, registering the highest level of contamination. On the contrary Avocado was found to be the least contaminated produce with contamination rate of 17.7% (8/45). Significant association was observed between the kind of vegetables analyzed and existence of parasites (p=0.002). This study identified high rate of contamination in commonly consumed vegetables and fruits. The authors believe that the role fruits and vegetables paly in the transmission of intestinal parasitic infections to humans is un questionable. Substantial attention is needed from all relevant bodies to tackle this problem.
Volume: 9
Issue: 3
Page: 211-215
Publish at: 2020-09-01

Clinical pharmacoepidemiology of antibiotics usage in intensive care unit of cancer special hospital

10.11591/ijphs.v9i3.20447
Akrom Akrom , Rafiastiana Capritasari
The pattern of antibiotics use in cancer patients in the intensive care unit (ICU) of dharma is cancer special hospital (DCSH) has not been identified. The purpose of this study is to determine the pattern of antibiotics use in cancer patients treated in the ICU of DCSH from 2012-2014. This study was observational with a cross-sectional design. The data collection is done retrospectively. The inclusion criteria to recruit the subjects, i.e. Adult patients who had nosocomial infections in the ICU; Patients with medical records in the ICU who received antibiotics in the 2012-2014 periods. Patients originating from inpatients (wards); Patients with medical records were read. The exclusion criteria were postoperative patients and Patients with incomplete medical records. We collected data from medical records of cancer patients who had been admitted to the ICU in 2012-2014, medication administration records, sample submission, and laboratory records. There are 202 cancer patients including in the study. Leukemia and breast cancer were the most cancer’s diagnosis in the Subject. More than two hundred cancer patients were receiving antibiotic therapy, with more than 50% of them were diagnosed with pneumonia, followed by central infection (>20%) and urinary tract infection (>10%). The antibiotic most frequently used was meropenem, with 33.8%. The three most commonly used antibiotics from 2012 to 2014 were meropenem, levofloxacin, and ceftriaxone.
Volume: 9
Issue: 3
Page: 169-175
Publish at: 2020-09-01

The knowledge of dentists for preventive influence of the caries process

10.11591/ijphs.v9i3.20478
Dobrinka Mitkova Damyanova , Valentina Velikova
The line of knowledge runs from the general social, legal, financial and managerial framework. It is necessary to present the object of professional activity, the peculiarities of professional work and the methods for its optimization. Subjects of the survey were 100 dentists who perform treatment of deciduous teeth from the city of Varna, Bulgaria. The individual addressed anonymous survey was fulfilled during educational, clinical and organization meetings at the Faculty of Dental Medicine-Varna and on the territory of the city of Varna. The interviewed dentists encounter difficulties with the diagnosis of the initial dental caries in primary dentition. The dentists included in the survey rely mainly on their theoretical and practical experience and routine clinical methods for non-invasive treatment of the initial dental caries. Work experience and the specialty do not have a significant impact on the awareness of dentists about the new criteria related to the diagnosis and prevention of dental caries in the primary dentition. The age, work experience and specialty of dentists are factors for their awareness of the new approaches to treatment of children, as doctors up to 30 years of age, with a recognized specialty and work experience up to five years are more informed.
Volume: 9
Issue: 3
Page: 176-183
Publish at: 2020-09-01

Development of a portable electronic device for the detection and indication of fireworks and firecrackers for security personnel

10.11591/ijeecs.v19.i3.pp1194-1203
Aaron Don Munsayac Africa , Stephanie Claire Alberto , Travis Evan Tan
The use of fireworks and firecrackers to celebrate festivities is a very common activity in the Philippines. But due to the lack of strict control and regulation, there are unwanted risks of accidents from occurring due to the poor handling and storage conditions of these devices. Proper monitoring is important to reduce any unnecessary risks imposed on human life and property. While existing storage monitoring devices exist, the developed prototype is designed to contain sensors that are more suited in monitoring the ideal conditions of where the fireworks are stored. Monitoring the climate conditions on these devices may seem trivial at first, but such climate change can involve a rapid rise in temperature that can accidentally ignite the fireworks and deal with catastrophic damage. Another concern is the rise of humidity that may alter that chemical characteristics of the gunpowder stored in the fireworks.  Such changes may not have any noticeable effects until it arrives in the consumer, that may experience an unwanted and unintended change in the performance of the fireworks leading to accidents. Therefore, it is important for this device to properly monitor the surrounding area then indicate various forms of alarms as a method of redundancy.
Volume: 19
Issue: 3
Page: 1194-1203
Publish at: 2020-09-01

Mitigation of overvoltage due to high penetration of solar photovoltaics using smart inverters volt/var control

10.11591/ijeecs.v19.i3.pp1259-1266
Dilini Almeida , Jagadeesh Pasupuleti , Janaka Ekanayake , Eshan Karunarathne
The modern photovoltaic (PV) inverters are embedded with smart control capabilities such as Volt/Var and Volt/Watt functions to mitigate overvoltage issues. The Volt/Var control has gained a significant attention in regulating grid voltage through reactive power compensation. However, the reactive power capability of a PV inverter is limited during peak irradiance and could be improved by curtailing the active power generation and by oversizing the PV inverter. This paper analyzes the performance of Volt/Var function of smart PV inverters in mitigating overvoltage issues due to high PV integration and thus increasing the hosting capacity of low voltage distribution networks (LVDNs). The study is conducted on a real Malaysian LVDN considering two different Volt/Var set points under different PV penetration levels. Results demonstrate that the oversized smart PV inverter could enhance the Volt/Var functionality by increasing its reactive power capability than a typical smart PV inverter. Further it reveals that adaptation of sensitive Volt/Var set points with shorter deadbands increase the PV hosting capacity of LVDNs.
Volume: 19
Issue: 3
Page: 1259-1266
Publish at: 2020-09-01

Nutritional status of under-five children in rural Bangladesh

10.11591/ijphs.v9i3.20425
Liton Chandra Sen , Md. Sabbir Ahmed , Abu Shoeb Md. Touhiduzzaman , Soumitra Mandal , AH Towfique Ahmed , Sanjit Kumar Das , Rama Saha
A cross-sectional study was carried out in Dumki Upazila of Patuakhali district in Bangladesh to assess the prevalence of stunting, wasting and underweight among the under-five children. Anthropometric measurements were taken from all children, aged 0-59 months in the studied area using wooden height board and digital weight machine. We used WHO Anthro software for analyzing the z scores of the children. A total of 4409 (2296 boys and 2113 girls) under five children were counted for anthropometric analysis.  Regarding the Height-for-age Z-score (HAZ), the study revealed that the prevalence of stunting was 27.10% (95% CI: 25.8-28.5) of the children while 7.80% (95% CI: 7-8.6) were severe stunting. By assessing the Weight-for-height Z-score (WHZ), the study showed that 11.20% (95% CI: 10.3-12.1) were wasting whereas 3% (95% CI 2.5-3.5) were severe wasting. According to Weight-for-age Z-score (WAZ), about 18.20% (95% CI: 17-19.3) were underweight and 4.1% (95% CI: 3.5-4.7) were underweight. The findings of the study show that prevalence of stunting is very high. Focusing on childhood stunting is a high priority, and there should be comprehensive efforts to increase the overall nutritional status of the under-five children in this area.
Volume: 9
Issue: 3
Page: 205-210
Publish at: 2020-09-01

Social comparison and life satisfaction in social media: The role of mattering and state self-esteem

10.11591/ijphs.v9i3.20509
Patrick P. T. Sim , Kususanto Ditto Prihadi
The overarching aim of this study is to explain how comparing self to others in social media might predict one’s sense of life satisfaction. In order to achieve that, we test the hypothesis that mattering and state self-esteem play a serial mediation that explains the link between social comparison in social media and life satisfaction. One hundred and forty-seven participants’ ages between 18 to 35 were recruited to participate in this research and were asked to fill up the Iowa-Netherlands Comparison Orientation Measure, General Mattering Scale, State Self-Esteem Scale and Riverside Life Satisfaction Scale questionnaires. Bias-free Bootstrap Method with 5000 sample has been conducted to analyze the relationship among the variables, and the results suggested that the overall model of the predictor significantly contributed to life satisfaction. Nevertheless, because social comparison did not predict the sense of mattering, serial mediation did not occur as per hypothesized. Our supplementary analyses indicated that state self-esteem fully mediated the contribution of mattering on life satisfaction. Implication, limitation and suggestions are discussed at the end of the paper.
Volume: 9
Issue: 3
Page: 245-254
Publish at: 2020-09-01

Age-based facial recognition using convoluted neural network deep learning algorithm

10.11591/ijai.v9.i3.pp424-428
Julius Yong Wu Jien , Aslina Baharum , Shaliza Hayati A. Wahab , Nordin Saad , Muhammad Omar , Noorsidi Aizuddin Mat Noor
Face recognition is the use of biometric innovations that can see or validate a person by seeing and investigating designs depending on the shape of the individual. Face recognition is used largely for the purpose of well-being, despite the fact that passion for different areas of use is growing. Overall, face recognition innovations are worth considering because they have the potential for broad legal jurisdiction and different business applications. It is widely used in many spaces. How it works is a product of facial recognition processing facial geometry. The hole between the ear and the good way from the front to the jaw are the main variables. This code distinguishes the highlight of the face that is important for your facial separation and creates your facial expression. Therefore, this study gives an overview of age detection using a different combination of machine learning and image processing methods on the image dataset.
Volume: 9
Issue: 3
Page: 424-428
Publish at: 2020-09-01

Design and implementation hamming neural network with VHDL

10.11591/ijeecs.v19.i3.pp1469-1479
Liqaa Saadi Mezher
Hamming Neural Network is type of artificial neural network consist of two types of layers (feed forward layers and recurrent layer). In this paper, two inputs of patterns in bianary number were used. In the first layer, two neurons and pure line function were used. In the second layer, three neurons and positive line function were used. Also applied Hamming Neural networks algorithm in three simulation methods (logical gate method, software program coding method and instant block diagram method). In this work in VHDL software program was used and FPGA hardware used.
Volume: 19
Issue: 3
Page: 1469-1479
Publish at: 2020-09-01

Web design structure with wordpress content management for sports centre booking system

10.11591/ijeecs.v19.i3.pp1643-1653
Nor Sajidah Ab Ghani , Murizah Kassim , Aziati Husna Awang
Sports center booking system need to be more systematic to increase its efficiency. The world wide web (WWW) had been a revolution and it has been utilized to be tools of automation in many applications, including managing booking and payment system in this area of services.  However, existing system needs an ID booking to book the facilities at the court centre and does not delegate any confirmation to users on their booking. This paper aims at integrating stripe payment method by using the WordPress platform where it is one of the content management system (CMS) by using XAMPP. MySQL has been used to store the database while PHP and HTML have been designed to generate QR code. This system was designed based on some function needed for the new member, staffs, and students. The procedure is that the new members will register and pay their members fees. Existing student and staff will just need to sign in using their ID number. This system has provided a booking system which presented the availability of time and date as well as the payment for the new members. Upon booking and payment, email and QR code are given to the user after the confirmation booking by an administrator.  The result shows the increase of efficiency after implementing the new features on the web system which shows 86.66% of increases in term of using the website to book the facilities at the sports centre from the existing system.
Volume: 19
Issue: 3
Page: 1643-1653
Publish at: 2020-09-01

Investigation of iris segmentation techniques using active contours for non-cooperative iris recognition

10.11591/ijeecs.v19.i3.pp1275-1286
Akinola Samuel Akinfende , Agbotiname Lucky Imoize , Olumide Simeon Ajose
Iris image segmentation process based on graphical user interface (GUI) to accurately localize the iris structure is presented in this paper. The major challenge confronting the precision of an iris recognition model is how to determine the accuracy of the iris segmentation and localization. There are varying parameters that introduce constraints during feature extraction and these greatly affect the matching performance during iris localization. To this end, the Integro-differential operator, which involves the detection of inner and outer regions of the iris, and the circular hough transform, which is capable of detecting the circular boundary from the edge mapping were investigated, and an active contour model was evolved. In the evolved model, an emerging curve mapped with the zeros of the data set function is experimentally exploited. To demonstrate the suitability of the model for precise iris recognition, its parameters were compared against other related models. Simulation results show that the model has higher flexibility of substitution of images, and the images could be analyzed more accurately with less false rejections (FR) and false acceptance (FA) in comparison with the integro-differential operator. This implies that images could be analyzed faster using the evolved model, and easily substituted especially in situations where the need to care for numerous eye patients occur.
Volume: 19
Issue: 3
Page: 1275-1286
Publish at: 2020-09-01

Long-term load forecasting using grey wolf optimizer -least-squares support vector machine

10.11591/ijai.v9.i3.pp417-423
Z. M. Yasin , N. A. Salim , N.F.A. Aziz , Y.M. Ali , H. Mohamad
Long term load forecasting data is important for grid expansion and power system operation. Besides, it also important to ensure the generation capacity meet electricity demand at all times. In this paper, Least-Square Support Vector Machine (LSSVM) is used to predict the long-term load demand. Four inputs are considered which are peak load demand, ambient temperature, humidity and wind speed. Total load demand is set as the output of prediction in LSSVM. In order to improve the accuracy of the LSSVM, Grey Wolf Optimizer (GWO) is hybridized to obtain the optimal parameters of LSSVM namely GWO-LSSVM. Mean Absolute Percentage Error (MAPE) is used as the quantify measurement of the prediction model. The objective of the optimization is to minimize the value of MAPE. The performance of GWO-LSSVM is compared with other methods such as LSSVM and Ant Lion Optimizer – Least-Square Support Vector Machine (ALO-LSSVM). From the results obtained, it can be concluded that GWO-LSSVM provide lower MAPE value which is 0.13% as compared to other methods.
Volume: 9
Issue: 3
Page: 417-423
Publish at: 2020-09-01

Rice false smut detection based on faster R-CNN

10.11591/ijeecs.v19.i3.pp1590-1595
Prabira Kumar Sethy , Nalini Kanta Barpanda , Amiya Kumar Rath , Santi Kumari Behera
Rice false smut is one of the most dangerous diseases in rice at the ripening phase caused by Ustilaginoidea Virens. It is one of the most important grain diseases in rice production worldwide. Its epidemics not only lead to yield loss but also reduce grain quality because of multiple mycotoxins generated by the causative pathogen. The pathogen infects developing spikelets and specifically converts individual grain into rice false smut ball. Rice false smut balls seem to be randomly formed in some grains on a panicle of a plant in the paddy field. In this study, we suggest a novel approach for the detection of rice false smut based on faster R-CNN. The process of faster R-CNN comprises regional proposal generation and object detection. The both tasks are done in same convolutional network. Because of such design it is faster for object detection. The faster R-CNN is able to detect the RFS using rectangular labelling from on-field images. The proposed approach is the initial steps to make a prototype for the automatic detection of RFS.
Volume: 19
Issue: 3
Page: 1590-1595
Publish at: 2020-09-01

Frequency response analysis technique for induction motor short circuit faults detection

10.11591/ijpeds.v11.i3.pp1653-1659
A. A. Alawady , M. F. M. Yousof , N. Azis , M. A. Talib
The paper presents the description for diagnostic methods of induction motor's stator windings fault. The presented methods use Frequency Response Analysis (FRA) technique for detection of Winding Faults in Induction Motor . This method is previously reliable method for faults diagnosis and detection in many parts of transformers including transformer windings. In this paper, this method was used for motor windings faults detection. This paper presents the FRA response interpretation on internal short circuit (SC) fault at stator winding on three cases studies of different three-phase induction motors (TPIM), were analysed according to two status: healthy induction motor at normal winding status and same motor with windings shorted of main windings. A conclusion of this paper provides the interpretation of and validation the FRA response due to internal SC fault case by using NCEPRI algorithm, which is considered as one of certified statistical indicators. The proposed method in this paper had a useful result for detect and diagnosis of stator windings faults of TPIM. The applications of developed method can be used to detece the other machines types faults.
Volume: 11
Issue: 3
Page: 1653-1659
Publish at: 2020-09-01
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