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31,456 Article Results

Subjective well-being among women with disabilities

10.11591/ijphs.v10i1.20616
Fatwa Tentama , Nina Zulida Situmorang , Muthmainah Muthmainah
Women with disabilities are individuals who have double vulnerabilities. These vulnerabilities are arguably resulting from their condition as disabled persons and their status as a woman. Both women with innate disabilities factors and accident factors have a similarly negative view of their condition. This study aimed to describe subjective well-being in women with disabilities. The research method used was qualitative phenomenology. The data was obtained through semi-structured interviews. This study included six women with disabilities (visually impaired), aged between 20 to 30 years who lived in Yogyakarta and status as a graduate student. The data from interviews were analyzed with thematic analysis. The results showed that subjective well-being in women with disabilities was influenced by cognitive component (life satisfaction), which was indicated by self-acceptance, positive social relations, and perceived gratitude. Besides, the affective component also played a role. This component included positive affect, which was indicated by a sense of attention that the participant received, a feeling of excitement, pleasure, and a feeling of pride. Negative affect was indicated by feelings of sadness because of past negative relationships and feelings of disappointment.
Volume: 10
Issue: 1
Page: 136-145
Publish at: 2021-03-01

Factors affect the vasectomy uptake of married couples in Bangka Belitung Islands, Indonesia

10.11591/ijphs.v10i1.20613
Dian Kristiani Irawaty , Yudi Rafani
Vasectomy is a highly effective male contraception. However, the 2007 to 2017 Indonesia Demographic and Health Surveys reported no vasectomy cases in Bangka Belitung Islands. This study aimed to identify the number and its barriers to low vasectomy use in the Bangka Belitung Islands. The combination of qualitative and quantitative methods used in this study. This study utilized health clinics’ reports between 2015 and 2018 to identify whether or not vasectomy was executed in Bangka Belitung Islands. In-depth interviews were also carried out for medical practitioners, husbands, and wives to point out other crucial purposes of low vasectomy cases in the area. Vasectomy is regarded as a sexual displeasure contraceptive method. Those husbands had perceptions that vasectomy was similar to castration. They consider it as a sickening procedure. The wives perceived that vasectomy could make their husbands promiscuous. The misconceptions and stigma had been found as barriers for the low practice of vasectomy in the Islands. Reproductive health counseling for both husbands and wives need to be intensified to clarify those misconceptions about vasectomy. Vasectomy-specified campaign messages through various media channels should be conducted for couples in the area.
Volume: 10
Issue: 1
Page: 48-54
Publish at: 2021-03-01

A new class of self-scaling for quasi-newton method based on the quadratic model

10.11591/ijeecs.v21.i3.pp1830-1836
Basim A. Hassan , Ranen M. Sulaiman
Quasi-Newton method is an efficient method for solving unconstrained optimization problems. Self-scaling is one of the common approaches in the modification of the quasi-Newton method. A large variety of self-scaling of quasi-Newton methods is very well known. In this paper, based on quadratic function we derive the new self-scaling of quasi-Newton method and study the convergence property. Numerical results on the collection of problems showed the self-scaling of quasi-Newton methods which improves overall numerical performance for BFGS method.
Volume: 21
Issue: 3
Page: 1830-1836
Publish at: 2021-03-01

Psychological impact among health workers in effort to facing the COVID-19 in Indonesia

10.11591/ijphs.v10i1.20524
Dede Nasrullah , Muhammad Natsir , Retno Twistiandayani , Lilis Rohayani , Siswanto Siswanto , Ni Made Sumartyawati , Uswatun Hasanah , Ade Herman Surya Direja
The coronavirus disease (COVID-19) pandemic in Indonesia has a psychological impact among health workers who are working in hospital and caring for patients with positive COVID-19. This study aimed to examines the psychological impact among health workers in effort to facing the coronavirus pandemic (COVID-19) in Indonesia. Snowball sampling technique was employed to gather the sample in the eight islands. The health workers were responded to the depression anxiety stress scales (DASS-42) questionnaire, with the total of 644 respondents. The results of this study showed that about 65.8% of respondents experienced anxiety due to COVID-19 outbreak, There were 3.3% experienced extremely severe anxiety and 33.1% experienced mild anxiety. Whereas those experienced stress due to COVID-19 outbreak were 55%, extremely severe stress levels were 0.8% and mild stress were 34.5%. Health workers who experienced depression were 23.5%. There were 0.5% with very severe depression and mild depression was 11.2%. There is a closed correlation between anxiety (r=0.152 p=0.000), stress (r=0.086 p=0.029), and depression (r=0.111 p=0.005), to the worried of being alienated if infected coronavirus (COVID-19). The Indonesian government has to handle the anxiety, stress and depression that occurs in health workers in particular and can provide protection to medical personnel so that they do not feel alienated by those around them.
Volume: 10
Issue: 1
Page: 181-188
Publish at: 2021-03-01

A new modification of the quasi-newton method for unconstrained optimization

10.11591/ijeecs.v21.i3.pp1683-1691
Hamsa Th. Saeed Chilmeran , Huda I. Ahmed , Eman T. Hamed , Abbas Y. Al-Bayati
In this work we propose and analyze a hybrid conjugate gradient (CG) method in which the parameter is computed as a linear combination between Hager-Zhang [HZ] and Dai-Liao [DL] parameters. We use this proposed method to modify BFGS method and to prove the positive definiteness and QN-conditions of the matrix. Theoretical trils confirm that the new search directions aredescent directions under some conditions, as well as, the new search directions areglobally convergent using strong Wolfe conditions. The numerical experiments show that the proposed method is promising and outperforms alternative similar CG-methods using Dolan-Mor'e performance profile. 
Volume: 21
Issue: 3
Page: 1683-1691
Publish at: 2021-03-01

Wireless electric energy transmission system and its recording system using PZEM004T and NRF24L01 module

10.11591/ijeecs.v21.i3.pp1372-1380
Markus Dwiyanto Tobi , Vina N. Van Harling
Electrical energy can not be separated from the name kWh Meter, a tool used to measure and record the amount of electrical energy usage has a shortage of kWh meters can not be monitored remotely how much energy is used, so it is rather inconvenient for PLN officials to check the use of electricity for postpaid customers. This research was conducted to design a prototype of a wireless electrical energy transmission system and design a wireless electrical energy recording system using the NRF24L01 wireless transmitter module and the PZEM004T kWh meter module. The design in this study uses the principle of electromagnetic induction to transfer electrical energy at close range, while to transmit data, the authors use the NRF24L01 module. Besides, the authors use the PZEM004T module to measure various magnitudes. Based on the results of observations and measurements of the design of the tool, the authors found that the transmission of electrical energy using electromagnetic induction is not effective for longer distances because the energy lost in the air is getting bigger. So this technology needs to be further investigated. Besides, the measurement of electrical quantities using the PZEM module has a small difference (under 2%) with measurements using a multimeter, so it can be said that the measurement with the PZEM004T module is effective. 
Volume: 21
Issue: 3
Page: 1372-1380
Publish at: 2021-03-01

Spike neuron optimization using deep reinforcement learning

10.11591/ijai.v10.i1.pp175-183
Tan Szi Hui , Mohamad Khairi Ishak
Deep reinforcement learning (DRL) which involved reinforcement learning and artificial neural network allows agents to take the best possible actions to achieve goals. Spiking Neural Network (SNN) faced difficulty in training due to the non-differentiable spike function of spike neuron. In order to overcome the difficulty, Deep Q network (DQN) and Deep Q learning with normalized advantage function (NAF) are proposed to interact with a custom environment. DQN is applied for discrete action space whereas NAF is implemented for continuous action space. The model is trained and tested to validate its performance in order to balance the firing rate of excitatory and inhibitory population of spike neuron by using both algorithms. Training results showed both agents able to explore in the custom environment with OpenAI Gym framework. The trained model for both algorithms capable to balance the firing rate of excitatory and inhibitory of the spike neuron. NAF achieved 0.80% of the average percentage error of rate of difference between target and actual neuron rate whereas DQN obtained 0.96%. NAF attained the goal faster than DQN with only 3 steps taken for actual output neuron rate to meet with or close to target neuron firing rate.
Volume: 10
Issue: 1
Page: 175-183
Publish at: 2021-03-01

Efficacy of working from home among urban professionals in Malaysia during the pandemic: The robust predictive role of mattering

10.11591/ijphs.v10i1.20736
Kususanto Ditto Prihadi , Edward S.Z. Lim , Kwok Chee Chan , Shirlyn M. H. Lee , Aniq Ridwan
Past studies suggested that the sense of mattering tend to be a robust predictor of work self-efficacy, even when controlling for strong variables such as state self-esteem. This current study aimed to investigate whether the aforementioned suggested still holds among working adults who had to work from home (WFH) during the COVID-19 pandemic in Malaysia, where the government enforced movement control order (MCO), a semi-quarantine policy where individuals can only travel within 10 kilometer radius of their respective homes. We hypothesized that the state self-esteem will fully mediate the link between mattering and work self-efficacy during the period of WFH, and that trait extraversion will moderate the mediation. In the 5th week of the MCO, our data was gathered from 109 urban working adults in Malaysia who had to WFH by employing General Mattering Scale, State Self-Esteem Scale, Remote Work Self Efficacy Measure, and the extraversion facet in Big Five Inventory. The result of bootstrap analyses with 5000 samples using PROCESS Macro Model 8 suggested that state self-esteem mediated partially mediated the association of mattering and work self-efficacy among individuals at all levels of extraversion. Discussion, limitations and suggestions are provided in the end of the paper.
Volume: 10
Issue: 1
Page: 215-220
Publish at: 2021-03-01

Teachers’ feelings of safeness in school-family-community partnerships: Motivations for sustainable development in moral education

10.11591/ijere.v10i1.20798
Nguyen Thi Ngoc Lien , Nguyen Thi To Khuyen , Nguyen Thi Tho , Nguyen Ngan Hoa , Nguyen Thi Hanh , Chu Cam Tho , Tuong Duy Hai , Nguyen Van Bien
This study aims to get insights into teachers' safety feelings in families, schools, and communities’ partnerships to facilitate the Vietnam context’s moral education process. We used a survey method with the instrument having 19 Likert-scale items, namely teachers' feelings of safeness in SFC partnerships (SSFC). The data from 371 Vietnamese teachers followed a simple random sampling strategy. We conduct multiple regression analyses to get insight into the relationship between four groups of variables and teachers' feelings of safeness, namely teachers’ background, collaborated actions between teachers and families, families’ mental encouragement for teachers, and collaborated actions between families and communities. These results find that the school level, collaborated actions between teachers and families, and families’ mental encouragement for teachers are statistically significant to teachers’ feelings of safety. Moreover, the variable group of collaborated actions between teachers and families records the highest positive beta value in multiple regression analyses. In other words, the improvement of collaborated actions between teachers and families is a critical motivation to leverage teachers’ feelings of safeness in SFC partnerships. These results provide valuable information for sustainable development in moral education.
Volume: 10
Issue: 1
Page: 97-107
Publish at: 2021-03-01

Expectation of administering the first aid for traumatic victims during the absence of pre-hospital service

10.11591/ijphs.v10i1.20568
Fitri Anita , Tita Hariyanti , Tony Suharsono
Traffic incidents become typical cases of trauma outside of hospitals. The integrated-emergency nursing system outside of hospitals becomes an important component to minimize any worsening condition of the traumatic victims. However, this pre-hospitalized service system has not been formally established in several cities or municipalities. This research aims to explore various hopes of the trauma-victim aid process in a region that has not applied pre-hospitalized emergency service formally. This research was carried out by implementing a qualitative research method and a case study approach to identify the themes. The research was conducted in Konawe municipality, from February until March 2020. It was done by interviewing eight participants consisting of the citizens, traffic police officers, hospital party, and health agency. Four themes result from this research. Establishing the pre-hospitalized emergency service, socializing the first aid for the incident victims, training dealing with the first aid of taking care of trauma victims, and promoting socialization for all citizens about the emergency numbers of health service institutions which could be immediately contacted when an accident occurs. There is a need for an emergency service system establishment and development.
Volume: 10
Issue: 1
Page: 41-47
Publish at: 2021-03-01

Cardiovascular disease risk factors and anthropometry features among seemingly healthy young adults

10.11591/ijphs.v10i1.20554
Viskasari P. Kalanjati , Rury T. Oktariza , Bambang E. Suwito , Krisnawan A. Pradana , Dzanuar Rahmawan , Abdurachman Abdurachman
We explored association between the levels of total cholesterol (TC) and uric acid (UA) to the middle upper arm circumference (MUAC), waist circumference (WC) and hip circumference (HC) amongst seemingly healthy university students in Kediri, Indonesia aged 17-23 years (n=150); no history of major previous diseases were found (i.e. metabolic syndrome). TC and UA measured from the capillary blood; standardised anthropometry measurements were done by trained medical doctors. Correlation, linear regression, independent t-test or Mann-Whitney analysis were performed with the level of significance of p<0.05. We found higher TC (p=0.053), UA (p<0.001), MUAC (p=0.009), HC (p=0.865) and WC (p=0.001) among males than among females. TC was significantly correlated to the UA with prevalence of hypercholesterolemia of 46.7% and hyperuricemia of 30% of all participants. All anthropometry was significantly correlated to the TC and UA among males (p<0.001); TC and UA were strongly corresponded to all anthropometry parameters among males. Hypercholesterolemia and hyperuricemia could be found amongst the seemingly healthy young adults in Indonesia; among males these are strongly correlated to the higher MUAC, WC and HC. Daily physical activity and proper healthy diet might help to decrease these cardiovascular disease risk factors.
Volume: 10
Issue: 1
Page: 77-82
Publish at: 2021-03-01

Prediction of the effects of environmental factors towards COVID-19 outbreak using AI-based models

10.11591/ijai.v10.i1.pp35-42
Khalid Mahmoud , Hatice Bebiş , A. G. Usman , A. N. Salihu , M. S. Gaya , Umar Farouk Dalhat , R. A. Abdulkadir , M. B. Jibril , S. I. Abba
The need for elucidating the effects of environmental factors in the determination of the novel corona virus (COVID-19) is very vital. This study is a methodological study to compare three different test models (1. Artificial neural networks (ANN), 2. Adaptive neuro fuzzy inference system (ANFIS), 3. A linear classical model (MLR)) used to determine the relationship between COVID-19 spread and environmental factors (temperature, humidity and wind). These data were obtained from the studies (Pirouz, Haghshenas, Haghshenas, & Piro, 2020) with confirmed COVID-19 patients in Wuhan, China, using temperature, humidity and wind as the independent variables. The measured and the predicted results were checked based on three different performance indices; Root mean square error (RMSE), determination coefficient (R2) and correlation coefficient (R). The results showed that ANFIS and ANN are more promising over the classical MLR models having an average R-values of 0.90 in both calibration and verification stages. The findings indicated that ANFIS outperformed MLR and ANN. In addition, their performance skills boosted up to 25% and 9% respectively based on the determination coefficient for the prediction of confirmed COVID-19 cases in Wuhan city of China. Overall, the results depict the reliability and ability of AI-based models (ANFIS and ANN) for the simulation of COVID-19 using the effects of various environmental variables. 
Volume: 10
Issue: 1
Page: 35-42
Publish at: 2021-03-01

Secure and smart system for monitoring patients with critical cases

10.11591/ijeecs.v21.i3.pp1800-1807
Hanan Abed Alwally Abed Allah , Rawsam Abduladheem Hasan
Recently, heat-related diseases like COVID19, Chickenpox, Typhoid, and others are increasing significantly; therefore, the need for portable devices to measures the heat of the human body accurately, quickly, easily with low cost has become very necessary to preserve the life of patients. For this reason, a smart system has been developed to monitor the patient's heat, in addition to temperature and humidity of the critical environment such as surgical operating rooms, patients’ isolation rooms and pharmacies, because it can help propagate infectious agents like viruses and bacteria. The proposed system divided into four parts: transmitted part (arduino, heat sensor, and hygrometer sensor), alarm part consists of lights and alarm bell, emergency part (doctors and nurses), and the medical application has been used as the last part. The application can be used only by authorized persons and through the accounts which are granted to them, in order to protect the data from sabotage and maintain the privacy and confidentiality of it.
Volume: 21
Issue: 3
Page: 1800-1807
Publish at: 2021-03-01

Expert system for heart disease based on electrocardiogram data using certainty factor with multiple rule

10.11591/ijai.v10.i1.pp43-50
Sumiati Sumiati , Hoga Saragih , Titik Abdul Rahman , Agung Triayudi
Limited public health services in remote areas, where the lack of transportation infrastructure, facilities, communication facilities and minimal medical personnel, especially for areas with underdeveloped, foremost, and regular (3T) status. The limitation of medical personnel is one of the factors for the high mortality rate of heart disease. On the other hand, the development of information technology, especially in the field of computing, is very fast in the era of the industrial revolution 4.0, but not yet used optimally, especially in the health sector. This study aims to develop a system or software that can replace a doctor for the process of identifying heart defects based on an expert system. Expert system developed with the certainty factor with multiple rule approach. System testing is carried out from the results of the system validity with experts, so that the system test results produce a certainty factor value for a normal heart of 0.95 and an accuracy level of 95%, while the certainty factor (CF) value for an abnormal heart is 0.99 and produces an accuracy rate of 99%.
Volume: 10
Issue: 1
Page: 43-50
Publish at: 2021-03-01

Design and characteristics assessment of wireless vibration sensor for buildings and houses

10.11591/ijeecs.v21.i3.pp1381-1388
Suherman Suherman , Fahmi Fahmi , Ulfa Hasnita , Zul Herri
This paper reports the wireless vibration detector design and characterization for practical applications. System is built by using the ATmega microcontrollers, working on a free license 433 MHz frequency. Hardware characteristics are defined through experimental assessments. Assessment mainly on sensor output and sensor installation characteristics. As results, hardware is working as expected, where vibration level achieves at most 13% detection for 12 g vibration source. The vertical axis of the MPU6050 vibration detector results 87.5 times higher detection than in horizontal axis. Detected vibration increases from 1.03 g to 2.61 g when source-sensor distance is shortened from 10 cm to 2 cm. The aluminium sheet as sensor pad causes detection of 8.69 times higher than on ceramic pad. The lower the detection period the better the detection amplitude. However, the lower the period, the higher the consumed power. Microcontroller sleep mode is not suitable for short period detection. The node-based data validation to avoid transmitting false detection is not influencial for short period detection.
Volume: 21
Issue: 3
Page: 1381-1388
Publish at: 2021-03-01
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