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29,922 Article Results

Hormonal profile and characteristics of polychistic ovarium syndrome among Madurese tribe, Indonesia

10.11591/ijphs.v9i4.20408
Zakkiyatus Zainiyah , Eny Susanti , Mustofa Haris
Polycystic ovarium syndrome (PCOS), the most common endocrine disorders in women of reproductive age, characterized by menstrual disorders (amenorrhea/oligomenorrhea), hirsutism, the appearance of acne, alopecia and the results of biochemical tests that show increased androgens (testosterone). Increased serum luteinizing hormone (LH) and follicle stimulating hormone (FSH) serve as diagnostic tests for PCOS over the years, but from several research results obtained inconsistent results that need further research. The purpose of this study is to analyze the hormonal profile and characteristics of polycystic ovary syndrome (PCOS) in Madura. Case-control study conducted in March-August 2019 in the Madura tribe. There were 32 subjects with PCOS and 32 healthy women participated in this study. Hormonal examination was using a serum and followed by enzyme-linked immune sorbent assay (ELISA kit). Levels Follicle-stimulating hormone (FSH) average was 8.74 and SHBGs were 10.02 lower in PCOS patients and LH levels were higher in PCOS patients; ratio LH/FSH was 0.76. The results of the Madurese study showed that levels of FSH, LH, weight significantly related to PCOS sex hormone binding globulin (SHBG), however body mass index (BMI) levels were not related to PCOS.
Volume: 9
Issue: 4
Page: 333-337
Publish at: 2020-12-01

Performance analysis of flow-based attacks detection on CSE-CIC-IDS2018 dataset using deep learning

10.11591/ijeecs.v20.i3.pp1413-1418
Rawaa Ismael Farhan , Abeer Tariq Maolood , Nidaa Flaih Hassan
The emergence of the internet of things (IOT) as a result of the development of the communications system has made the study of cyber security more important. Day after day, attacks evolve and new attacks are emerged. Hence, network anomaly-based intrusion detection system is become very important, which plays an important role in protecting the network through early detection of attacks. Because of the development in  machine learning and the emergence of deep learning field,  and its ability to extract high-level features with high accuracy, these systems have been included to work with real network traffic CSE-CIC-IDS2018 for a wide range of intrusions and normal behavior as an ideal method of testing and evaluation. In this paper, we test and evaluate our deep model (DNN) which has achieved a good detection accuracy of about 90%.
Volume: 20
Issue: 3
Page: 1413-1418
Publish at: 2020-12-01

Performance investigation of stand-alone induction generator based on STATCOM for wind power application

10.11591/ijece.v10i6.pp5570-5578
Ahmed J. Ali , Mohammed Y. Suliman , Laith A. Khalaf , Nashwan S. Sultan
Self-Excited induction generators (SEIG) display a low voltage and frequency regulation due to variable applied load and input rotation speed. Current work presents a simulation and performance analysis of a three-phase wind-driven, SEIG connect to a three-phase load. In addition, an investigation of the dynamic operation of the induction generator from starting steady state until no-load operation. It is assumed that the input mechanical power is constant where the rotor of the SEIG rotates at a constant speed. The value of the excitation capacitance which is necessary to the operation of the induction generator also computed to ensure a smooth and self-excitation starting. The output voltage of the generator is adjusted by varying the reactive power injected by STATCOM. A 3-phase IGBT voltage source inverter with a fuel cell input supply is connected as STATCOM which is used to compensate for the reduction in the supply voltage and its frequency due to variation occurred in the applied loads. This work includes introducing a neuro-fuzzyy logic controller to enhance the performance of the SEIG by regulation the generated voltage and frequency The dynamic model of SEIG with STATCOM and loads are implemented using MATLAB/SIMULINK
Volume: 10
Issue: 6
Page: 5570-5578
Publish at: 2020-12-01

Correlation of body mass index on waist circumference and blood pressure

10.11591/ijphs.v9i4.20443
Yoni Astuti , Ikhlas Muhammad Jenie
The increasing number of elderly on these recent days demands an improved quality of health for the elderly. Independence of the elderly is important in order to be happy and not to be a burden on their families. Health monitoring continuously is an effort to prevent disruption on the health conditions of the elderly. The health status of elderly people is important to know to follow up on prevention programs for the emergence of certain diseases in the elderly. This study aims to look for potential health problems for elderly people in Gamping, Sleman, DIY, Indonesia. The method of this research was cross sectional analysis using secondary data. Sample collection is consecutive subjects. Subjects were 158 people with a mean age of men (67.8 ± 7.1) years while women were 67.5 ± 7.3 years. The data was analyzed using the bivariate correlation test with CI 99%. The results of the analysis showed that the average body mass index with an average waist circumference was positively correlated (r= 0.66; p: 0.000), but did not correlate with systole pressure (r= -0.009; p= 0.97) diastole (r= 0.093; p= 0.477), age (-0.05; p= 0.71), and gender (r= -0.146; p= 0. 27). The potential health problems among the elderly is the risk of high BMI due to the larger waist circumference
Volume: 9
Issue: 4
Page: 373-378
Publish at: 2020-12-01

Motion artifacts reduction in cardiac pulse signal acquired from video imaging

10.11591/ijece.v10i6.pp5687-5693
Murthad Al-Yoonus , Mustafa H. Alhabib , Mustafa Zuhaer Nayef Al-Dabagh , M. F. L. Abdullah
This study examines the possibility of remotely measuring the cardiac pulse activity of a patient, which could be an alternative technique to the classical method. This type of measurement is non-invasive. However, several limitations may deteriorate the accuracy of the results, including changes in ambient illumination, motion artifacts (MA) and other interferences that may occur through video recording. The paper in hand presents a new approach as a remedy for the aforementioned problem in cardiac pulse signals extracted from facial video recordings. Partitioning provides the basis for the presented MA reduction method; the acquired signals are partitioned into two sets for each second and every partition is shifted to the mean level and then all the partitions are recombined again into one signal, which is followed by low-pass filtering for enhancement. The proposed compared with ordinary pulse oximetry Photoplethysmographic (PPG) method. The resulted correlation coefficient was found (0.957) when calculated between the results of the proposed method and the ordinary one. Experiments were implemented using a common camera by creating a dataset from 11 subjects. The ease of implementation of this method with a simple that can be used to monitor the cardiac pulse rates in both home and the clinical environments.
Volume: 10
Issue: 6
Page: 5687-5693
Publish at: 2020-12-01

Mothers’ perception and management preference of acute diarrheal disease

10.11591/ijphs.v9i4.20503
Terefe Keto , Yalfal Alemu , Aklilu Mamo
Globally, diarrheal disease is one of the leading causes of morbidity and mortality among under-five years of children. Every day, approximately 2195 children die due to diarrheal diseases, which accounts for 1 in 9 child deaths worldwide. Many interventions that attempt to reduce childhood diarrhea are often fail because they are programed without understanding the problem in the target community and are culturally unsuitable. Therefore, this study aimed to assess perception and management preference of acute diarrheal disease among mothers who attend under five clinics. An institution based descriptive cross sectional study was conducted from May 1-May 30/2019. A total of 276 respondents were included in the study and consecutive sampling technique was used to identify the study participants. The results show that 47% of respondents perceive childhood diarrhea is caused by teething, 47.8% of the respondents perceive that diarrhea cannot be transmitted from one child to other. Majority of care givers prefer to give home remedies to their child, and also a substantial proportion of mothers and caregivers were not adequately knowledgeable on the use of oral rehydration salt which resulted in many of them using traditional medicine. There is need for increased health education focused on increasing caregivers‟ knowledge about the cause of diarrhea and enhancing adoption of appropriate prevention practices of diarrhea among children under five years.
Volume: 9
Issue: 4
Page: 338-346
Publish at: 2020-12-01

Do descendants of families contribute to type 2 diabetes mellitus?

10.11591/ijphs.v9i4.20586
Fatma Nuraisyah , Solikhah Solikhah , Rochana Ruliyandari
Diabetes is a public health problem in Indonesia that has been increasing in recent decades. Screening for diabetes was usually identified as pregnant women, adolescents, adults, children, older and obesity, while based on investigation descendent was yet. This cross-sectional study aimed to know the random level blood glucose of family history type 2 diabetes mellitus (T2DM). The target group for screening was people with a family history in one of their descent of T2DM with age >20 years in Kulon Progo, DIY, Indonesia. We conducted a detection of random level blood glucose from a venous blood sample. A high level of blood glucose was diagnosed when random blood glucose reaches ≥200 mg/dl. The participant with high level of blood glucose was 29.0%, while borderline blood glucose (≥110-199 mg/dl) was revealed 38.7% of 15.3% subject indicated with mother history. Descendant screening of family history T2DM is early detected respondent with high glucose level and reduced the severe complication.
Volume: 9
Issue: 4
Page: 303-306
Publish at: 2020-12-01

Design of high frequency transformers in different shape of core using matlab program

10.11591/ijeecs.v20.i3.pp1159-1172
Reem Falah Hassan , Kassim Rasheed Hameed
This paper deals with the design, simulation and implementation of the high-frequency transformer for a push-pull converter. It also includes transformer design and simulation for two switches, two outputs forward converter. Design these transformers by building a program, this program is designed in MATLAB software using a graphical user interface (GUI). The program is aimed to reduce the efforts and reduce the time compare with the manual design which takes time and effort. This paper provided the shape and geometry of the core that can influence the efficiency of the converter by designing these transformers in two types of core. The design results were validated by simulation in power simulation software (PSIM), and compare the results of simulation and design.
Volume: 20
Issue: 3
Page: 1159-1172
Publish at: 2020-12-01

Examining relationship between service quality, user satisfaction, and performance impact in the context of smart government in UAE

10.11591/ijece.v10i6.pp6026-6033
Ali Ameen , Dawoud Al-Ali , Osama Isaac , Fathey Mohammed
Governments attempt to use all forms of information technologies including Internet and mobile computing to be able to transform relationships with citizens. However, there is a clear gap between the indicator of the impact of technology innovation output and government’s vision in UAE (United Arab Emirates). In this regard, investigating the relationship between service quality, user satisfaction, and performance impact may help the government to mark its current progress and milestone achievement. This research proposed a model based on Delone & McLean IS success model by considering the research context. The modeling of structural equations via PLS (Partial least squares) regression was applied to evaluate the model within the context of public sector in the UAE. The data was collected from a sample of 147 employees in public organizations using a questionnaire. Results demonstrated that the quality of service has a significant effect on user satisfaction. In addition, quality of service and user satisfaction positively influences the staff performance. The outcome of this research helps to enhance the understanding of the impact of smart government applications.
Volume: 10
Issue: 6
Page: 6026-6033
Publish at: 2020-12-01

Preliminary process in blast cell morphology identification based on image segmentation methods

10.11591/ijece.v10i6.pp5714-5725
Retno Supriyanti , Pangestu F. Wibowo , Fibra R. Firmanda , Yogi Ramadhani , Wahyu Siswandari
The diagnosis of blood disorders in developing countries usually uses the diagnostic procedure Complete Blood Count (CBC). This is due to the limitations of existing health facilities so that examinations use standard microscopes as required in CBC examinations. However, the CBC process still poses a problem, namely that the procedure for manually counting blood cells with a microscope requires a lot of energy and time, and is expensive. This paper will discuss alternative uses of image processing technology in blast cell identification by using microscope images. In this paper, we will discuss in detail the morphological measurements which include the diameter, circumference and area of blast cell cells based on watershed segmentation methods and active contour. As a basis for further development, we compare the performance between the uses of both methods. The results show that the active contour method has an error percentage of 5.15% while the watershed method has an error percentage of 8.25%.
Volume: 10
Issue: 6
Page: 5714-5725
Publish at: 2020-12-01

Potential use of personal protection online search during COVID-19 pandemic for predicting and monitoring public response

10.11591/ijphs.v9i4.20547
Michael Chandra , Rizma Adlia Syakurah
COVID-19 has become a global public health emergency in almost all over the world, including in Indonesia. Effective risk communication becomes an emergency response to increase awareness and determine appropriate interventions. The study aimed to assess the success of risk communication monitoring using Google Trends during the COVID-19 pandemic in Indonesia. Quantitative and qualitative research uses time-series data (31 December 2019-2 May 2020). The relative search volume (RSV) of keyword „masker‟ (mask) and „cuci tangan‟ (handwashing) from Google Trends (GT) and the number of COVID-19 daily cases were collected. Analyzed qualitatively. RSV search data and daily case comparisons were performed based on Pearson correlation analysis and time lag correlation with significance <0.05. The keyword „masker‟ has four peaks and „cuci tangan‟ has three peaks with fluctuations due to the increase in mask prices, government policies, news, and official WHO recommendations. Validation using time-lag correlation shows the significant results between RSV keywords related to personal protection and the number of COVID-19 cases. The highest correlation was achieved by the keyword „masker‟ three days before the number of COVID-19 cases. Google Trends can potentially be used as a complement and support for early warning systems in the surveillance system and improve public health responses in Indonesia.
Volume: 9
Issue: 4
Page: 406-413
Publish at: 2020-12-01

LMI based antiswing adaptive controller for uncertain overhead cranes

10.11591/ijece.v10i6.pp5793-5801
Nga Thi-Thuy Vu
This paper proposes an adaptive anti-sway controller for uncertain overhead cranes. The state-space model of the 2D overhead crane with the system parameter uncertainties is shown firstly. Next, the adaptive controller which can adapt with the system uncertainties and input disturbances is established. The proposed controller has ability to move the trolley to the destination in short time and with small oscillation of the load despite the effect of the uncertainties and disturbances. Moreover, the controller has simple structure so it is easy to execute. Also, the stability of the closed-loop system is analytically proven. The proposed algorithm is verified by using Matlab/Simulink simulation tool. The simulation results show that the presented controller gives better performances (i.e., fast transient response, position tracking, and low swing angle) than the state feedback controller when there exist system parameter variations as well as input disturbances.
Volume: 10
Issue: 6
Page: 5793-5801
Publish at: 2020-12-01

Temperature characteristics of FinFET based on channel fin width and working voltage

10.11591/ijece.v10i6.pp5650-5657
Yousif Atalla , Yasir Hashim , Abdul Nasir Abd. Ghafar , Waheb A. Jabbar
This paper shows the temperature sensitivity of FinFET and the possibility of using FinFET as a temperature Nano sensor based on Fin width of transistor. The multi-gate field effect transistor (MuGFET) simulation tool is used to examine the temperature effect on FinFET characteristics. Current-voltage characteristics with various temperatures and channel Fin width (WF= 5,10,20,40 and 80 nm) are at first simulated, the diode mode connection has been used in this study. The best temperature sensitivity of the FinFET is has been considered under the biggest ∆I at the working voltage VDD with range of 0–5 V. According to the results, the temperature sensitivity increased linearly with all the range of channel Fin width (5-80 nm), also, the lower gate Fin width (WF=5nm) with higher sensitivity can achieved with lower working voltage (VDD=1.25 V).
Volume: 10
Issue: 6
Page: 5650-5657
Publish at: 2020-12-01

Tuberculosis detection using deep learning and contrastenhanced canny edge detected X-Ray images

10.11591/ijai.v9.i4.pp713-720
Stefanus Kieu Tao Hwa , Abdullah Bade , Mohd Hanafi Ahmad Hijazi , Mohammad Saffree Jeffree
Tuberculosis (TB) is a disease that causes death if not treated early. Ensemble deep learning can aid early TB detection. Previous work trained the ensemble classifiers on images with similar features only. An ensemble requires a diversity of errors to perform well, which is achieved using either different classification techniques or feature sets. This paper focuses on the latter, where TB detection using deep learning and contrast-enhanced canny edge detected (CEED-Canny) x-ray images is presented. The CEED-Canny was utilized to produce edge detected images of the lung x-ray. Two types of features were generated; the first was extracted from the Enhanced x-ray images, while the second from the Edge detected images. The proposed variation of features increased the diversity of errors of the base classifiers and improved the TB detection. The proposed ensemble method produced a comparable accuracy of 93.59%, sensitivity of 92.31% and specificity of 94.87% with previous work.
Volume: 9
Issue: 4
Page: 713-720
Publish at: 2020-12-01

New improved hybrid MPPT based on neural network-model predictive control-kalman filter for photovoltaic system

10.11591/ijeecs.v20.i3.pp1230-1241
Nora Kacimi , Said Grouni , Abdelhakim Idir , Mohamed Seghir Boucherit
In this paper, new hybrid maximum power point tracking (MPPT) strategy for Photovoltaic Systems has been proposed. The proposed technique for MPPT control based on a novel combination of an artificial neural network (ANN) with an improved model predictive control using kalman filter (NN-MPC-KF). In this paper the Kalman filter is used to estimate the converter state vector for minimized the cost function then predict the future value to track the maximum power point (MPP) with fast changing weather parameters. The proposed control technique can track the MPP in fast changing irradiance conditions and a small overshoot. Finally, the system is simulated in the MATLAB/Simulink environment. Several tests under stable and variable environmental conditions are made for the four algorithms, and results show a better performance of the proposed MPPT compared to conventional Perturb and Observation (P&O), neural network based proprtional integral control (NN-PI) and Neural Network based model predictive control (NN-MPC) in terms of response time, efficiency and steady-state oscillations.
Volume: 20
Issue: 3
Page: 1230-1241
Publish at: 2020-12-01
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