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A new design algorithm for hybrid active power filter

10.11591/ijece.v9i6.pp4507-4515
Chau Minh Thuyen
The correct determination of the parameters of Hybrid Active Power Filter (HAPF) plays a decisive role in its performance. Therefore, this paper proposes a new design algorithm for HAPF based on the Social Spider Algorithm (SSA). This algorithm has the advantage that it is possible to determine the parameters of both the power circuit part and the control circuit part of HAPF. The achieved results are multi-purpose, such as: minimum total harmonic distortion of the supply current and source voltage, the maximum reactive power compensation into the system and satisfy many constraints such as: system stability, resonance conditions of the branches and the limits of the parameters. Compared to traditional design method using the Particle Swarm Optimization algorithm, the proposed algorithm shows the advantages of smaller total harmonic distortion of supply current and source voltage, and higher reactive power compensation into the grid while still meeting the constraints.
Volume: 9
Issue: 6
Page: 4507-4515
Publish at: 2019-12-01

Stunting and development of behavior

10.11591/ijphs.v8i4.20363
Verawati Simamora , Sabar Santoso , Nanik Setiyawati
The current study aimed to examine the relationship between the incidence of Stunting, characteristics of mother with the development of toddlers 24-59 months in the work area of Sentolo I Public Health Center, KulonProgo Regency. The study design used was a retrospective cohort (historical cohort). The research was conducted in May 2019. The population of this study was all under-fives under the Sentolo Health Center I work area. There were 130 respondents consisting of 65 exposed groups and 65 unexposed groups participated in this study. The analysis used in this study used Chi-square.Developments wasdetected using Denver II. The results of the bivariate analysis showed that there was a relationship betweenStunting and the development of toddlers 24-59 months (p=0.003). There was no relationship between sex and number of siblings with the development of children under five (p=0.808). There is a significant relationship between the level of knowledge of mothers and toddler development (p=0.859). There is a relationship between the level of education of mothers with development (p=0.003). There is a relationship between family income and the development of (p=0.001), but there is no relationship between the work of mothers and children under five years (p=0.001).There is a relationship between Stunting and developing toddlers 24-59 months in the working area of Sentolo I Public Health Center, KulonProgo Regency.
Volume: 8
Issue: 4
Page: 427-431
Publish at: 2019-12-01

Optimizing PEMFC model parameters using ant lion optimizer and dragonfly algorithm: A comparative study

10.11591/ijece.v9i6.pp5295-5303
Zainuddin Mat Isa , Norkharziana Mohd Nayan , Mohd Hafiz Arshad , Nor Ashbahani Mohamad Kajaan
This paper introduced two optimization algorithms which are Ant Lion Optimizer (ALO) and Dragonfly Algorithm (DA) for extracting the Proton Exchange Membrane Fuel Cell (PEMFC) polarization curve parameters. The results produced by both algorithms are being compared to observe their performance. As a results, the ALO shows great performance compared to DA. Furthermore, these results also being compared with the results of the other reported metaheuristics algorithms. The ALO and DA presented competitive results.
Volume: 9
Issue: 6
Page: 5295-5303
Publish at: 2019-12-01

Performance comparison of java based parallel programming models

10.11591/ijeecs.v16.i3.pp1577-1583
Muhammad Na’im Fikri Jamaluddin , Azlan Ismail , Amir Abd Rashid , Talha Takleh Omar Takleh
Parallel programming has been implemented in many areas to solve various computational problem with the aim, to improve the performance and scalability of the software application. There are a few parallel programming models commonly used, namely, threads, and message passing (distributed) models. Furthermore, various APIs have been proposed to implement these models based on two popular languages, notably, C/C++ and Java. A few studies have been done to compare the performance of parallel programming models, specifically, pure versus hybrid model. However, most of existing comparisons targeted on MPI/OpenMP based on C/C++ language. In this paper, our aim is to explore the performance comparison between threads, message passing and hybrid model in Java, specifically using Java multithreading and MPJ Express. For this reason, we have chosen a problem called word count occurrence which is significant in Natural Language Processing and use it to design and implement the parallel programs. We then present their performance and discuss the results.
Volume: 16
Issue: 3
Page: 1577-1583
Publish at: 2019-12-01

Health education improve behavior and self-efficacy on personal hygiene among children with intellectual disability

10.11591/ijphs.v8i4.20370
Titiek Hidayati , Akrom Akrom , Indri Nurasa , Erviana Erviana
Personal hygiene is one of the basic human needs and must be kept clean, including scalp and hair, eyes, nose, ears, nails of hands and feet, skin and overall body care. Health education on personal hygiene is still concern not only for healthy children but also for children with disabilities. One of the ways is with audiovisual methods. This study aimed to analyze the effect of health education on personal hygiene with audiovisual methods. The study design used was pre-experiment without a control group. The number of samples was 30 using total sampling technique. Knowledge of personal hygiene before health education (pre-test) was mostly insufficient category, after being given health education (post-test) mainly was in proper group. The pre-test attitude was in low category, and the post-test was still the same. Pre-test and post-test of behavior were mostly being practiced. Pre-test and post-test of self-efficacy were in low category. There was an influence of health education on personal hygiene with audiovisual methods on the level of knowledge in intellectually disabled children (p<0.05), but there was no effect on attitudes, behaviors, and self-efficacy in intellectually disabled children.
Volume: 8
Issue: 4
Page: 391-399
Publish at: 2019-12-01

A framework for sentiment analysis in Arabic text

10.11591/ijeecs.v16.i3.pp1482-1489
Alaa Abdalqahar Jihad , Ahmed Subhi Abdalkafor
Over the last decade there has been an increase in number of E-mails or comments to a company via social media sites, to satisfy their customers, the company must take in to consideration these messages and comments and know whether the customers are satisfied with what the company offers or not. Several techniques have been proposed to analyze the sentiment of the comment writer. Dealing with the Arabic language is faced with many challenges, such as it is a morphologically rich language and how to return the word to its original root. In this paper the challenges of dealing with the Arabic language were reviewed and a framework was also established to analyze the comments in Arabic and classify it into positive, negative or neutral sentiment. The framework was trained and tested and then the con-clusions were drawn based on its work.
Volume: 16
Issue: 3
Page: 1482-1489
Publish at: 2019-12-01

Knowledge, attitudes, and diarrhea prevention

https://ijphs.iaescore.com/index.php/IJPHS/article/view/19859
Sestiono Mindiharto , Fifit Eka Furi Astutik
The aim of the study was to determine the relationship between knowledge and attitudes in the prevention of diarrheal diseases in patients at the Jaten II Health Center in Karanganyar Regency.This type of correlational analytical research uses a cross sectional approach. The sampling technique in this study is total sampling. The research sample of all members of the population was taken for the study sample, as many as 30 patients suffering from diarrhea. The variables observed were knowledge as an independent variable and attitude in preventing diarrheal disease as the dependent variable. Data analysis employed Chi-square test.The results showed that knowledge of diarrheal diseases in the majority of patients was quite as many as 16 respondents or 53.3%. The attitude in the prevention of diarrheal diseases in the majority of patients was less than 16 respondents or 53.3%. There is a significant relationship between knowledge and attitudes in the prevention of diarrheal disease in patients at the Jaten II Health Center in Karanganyar Regency with a value of p = 0.012.It is suggested that the prevention of diarrheal diseases is highly needed by high patient awareness to get a clean and healthy life.
Volume: 8
Issue: 4
Page: 400-405
Publish at: 2019-12-01

The effectiveness of the leadership transformation programme among off-campus students

10.11591/ijere.v8i4.20309
Rohana Hamzah , Nurul Ain Fatehah Baharuddin , Wan Jumani Fauzi , Muhamad Afzamiman Aripin
The social issues involving off-campus students are quite serious as these students are more susceptible to negative influences such as friends and the surrounding environment. Results from the preliminary study showed that there were four major problems which are relationship with the Creator, self-management, social relationship with housemates, as well as housekeeping management and upkeep. Therefore, an intervention programme named Transformation Leadership Programme for Off-Campus Students was designed. The study aimed to examine the effectiveness of the leadership transformation programme among off-campus student. The effectiveness of the intervention programme reported in this study is based only on pre- and post-tests from quantitative data collected from 30 respondents. The results show that there is no significant difference for the variable, ‘respondents’ belief in the Creator’ although the mean value increased in the post-test. Apart from that, the findings also show significant improvements in the other three variables assessed, (i.e., relationship with the Creator, self-management, social relationship with their housemates and housekeeping management and upkeep). Data also show that there was also positive impact on off-campus students’ academic achievement due to the decrease in the number of respondents with CGPA below 2.5. Therefore, this means the programme is successful in helping off-campus students to understand and make a connection between the value of belief in the Creator (spiritual intelligence) with the exercise of social responsibility as a leader to oneself, others and housekeeping management and upkeep.
Volume: 8
Issue: 4
Page: 726-734
Publish at: 2019-12-01

Predictive analytics of university student intake using supervised methods

10.11591/ijai.v8.i4.pp367-374
Muhammad Yunus Iqbal Basheer , Sofianita Mutalib , Nurzeatul Hamimah Abdul Hamid , Shuzlina Abdul-Rahman , Ariff Md Ab Malik
Predictive analytics extract important factors and patterns from historical data to predict future outcomes. This paper presents predictive analytics of university student intake using supervised methods. Every year, universities face a lot of academic offer rejection by the applicants. Hence, this research aims to predict student acceptance and rejection towards academic offer given by a university using supervised methods subject to past student intake data. To solve this problem, a lot of past studies had been reviewed starting from nineties era till now. From the analysis, two algorithms had been selected namely Decision Tree and k Nearest Neighbor. The dataset of past student intake was obtained with fifteen attributes, which are applicants’ gender, applicants studied stream during Sijil Peperiksaan Malaysia (SPM), university campuses, applicants’ hometown, disability, campus visit, course choice order in application form, applicant’s six SPM subjects result, orphan and status of acceptance. Several experiments were implemented to find the best model to predict the student’s offer acceptance by evaluating the model accuracy. Both models yield best accuracy at 66 percent with the selected attributes. This research gives a huge impact in selecting which applicants is suitable to be offered as well as adapting the university’s academic offering process in much intelligence way in the future.
Volume: 8
Issue: 4
Page: 367-374
Publish at: 2019-12-01

Power loss reduction by arctic wolf optimization algorithm

10.11591/ijict.v8i3.pp111-116
Kanagasabai Lenin
This paper proposes Arctic Wolf optimization (AWO) algorithm to solve the optimal reactive power problem. Deeds of the Arctic wolf have been imitated to formulate the proposed algorithm. Arctic wolf also identified as the white wolf or polar wolf is a breed of gray wolf inhabitant from Melville Island to Ellesmere Island. It is average size, very smaller when compared to north western wolf, it possess whiter coloration, narrower braincase and big carnassials. Particle swarm optimization, Genetic algorithm has been used to improve the Exploration & Exploitation ability of the algorithm by utilizes flag vector & position, velocity update properties. Proposed Arctic Wolf optimization (AWO) algorithm has been tested in standard IEEE 30 bus test system and simulation results show the projected algorithms reduced the real power loss considerably.
Volume: 8
Issue: 3
Page: 111-116
Publish at: 2019-12-01

Patient satisfaction and associated factors with services provided at outpatient departments

10.11591/ijphs.v8i4.20375
Dereje Mesfin , Tadiwos Gintamo
Asking patients what they think how they feel about the health service they have received is an important step towards improving the quality of care and, ensuring that local health services are meeting clients needs and expectations. Facility- based cross-sectional study was conducted from April 1-7, 2019 in randomly selected primary hospitals found in Guraghe zone. There were 266 randomly selected patients who attended the primary hospitals were participated in the study. Data was collected using a interviewer-administered structured questionnaire and analyzed using SPSS version 21. Multiple logistic regression analysis used to identify predictors of patient satisfaction. The overall of patient satisfaction level with the health service provided at the outpatient departments of the primary hospitals was 66.5% (95% C.I. 60.8%-72.2%). waiting time (AOR 3.65), informing patients about cause of illness (AOR, 2.46) and waiting area cleanliness (AOR 2.33) were among the significant predictors of patients satisfaction. Acknowledging the limitation of the cross-sectional study design findings of this study indicate that waiting time, telling the cause of illness, cleanliness of the waiting area are important predictors of patient satisfaction.
Volume: 8
Issue: 4
Page: 406-412
Publish at: 2019-12-01

Proxy Re-Encryption in cloud using ALBC (adaptive lattice based cryptography)

10.11591/ijeecs.v16.i3.pp1455-1463
Chandrakala B M , S C Lingareddy
In recent days, data sharing has provided the flexibility to share the data, store the data, and perform operation on data virtually as well as cost effectively. Data sharing in cloud is one of the feature, which is being popular and widely accepted. However, the concern here is to ensure the data security and this has led the researcher to research in this area. To provide the security several Proxy re-encryption scheme has been introduced, however all these method lacks of efficiency. Hence In this paper, we propose a scheme known as ALBC (Adaptive Lattice Based Cryptography), this scheme follows the two phase i.e. encryption and Re-encryption. Encryption phase has few algorithms such as Key_Gen, Enc, Dec. Similarly ALBC Re-Enc has five algorithm i.e. Key_Gen, Key_ReGen,  Enc, Re-Enc, Dec. our algorithm not only provides the security but also solves the problem of RL(Ring-learning) with errors problems. In order to evaluate, our algorithm is compared with the existing model in terms of encryption time, decryption time, re-encryption time, key generation  and key regeneration by varying the various key size. When we observe the comparative analysis, it is observed that our algorithm outperforms the existing algorithm.
Volume: 16
Issue: 3
Page: 1455-1463
Publish at: 2019-12-01

Validation of diabetes mellitus patient behavior questionnaire in primary health care service

10.11591/ijphs.v8i4.18348
Ginanjar Zukhruf Saputri , Akrom Akrom , Haafizah Dania , Okta Muthia S
This study aimed to develop and validation a questionnaire as measurement instrument for knowledge and adherence behavior of DM patients in primary health care. Cross sectional study design was conducted in diabetes mellitus patient. Inclusion criteria were patients in the age group 18-65 years, diagnosed with DM, receiving at least one oral antidiabetic medication. Questionnaire questions for behavioral item were developed based on Diabetes Mellitus management guidelines and references to previous studies. Evaluation and validation by expert was carried out on diabetes mellitus experts and clinical psychologists. The pilot study was conducted on 10 healthy patients and 10 patients with diabetes who enrolled inclusion criteria. Questionnaire validation test was conducted with 41 DM outpatient at PKU Muhammadiyah Hospital in Yogyakarta. Collecting data by interviewing patients based on questionnaire. Statistical analysis was performed using SPSS with Pearson correlation coefficients for validation test and Cronbach alpha coefficients for reliability test of the questionnaire. Adherence behavior questionnaire consists of 12 question items, which are divided into three domains: cognitive, affective, and psychomotor domains. Validation results showed 12 valid items where the pearson correlation value was>0.308 (n=41). Cronbach alpha as reliability test results showed 0.78. This result showed a questionnaire were valid and reliable in Diabetes Mellitus patients. This instrument would be use in primary health care for measuring adherence behavior of DM patients.
Volume: 8
Issue: 4
Page: 455-460
Publish at: 2019-12-01

A leakage current estimation based on thermal image of polymer insulator

10.11591/ijeecs.v16.i3.pp1096-1106
Darwison Darwison , Syukri Arief , Hairul Abral , Ariadi Hazmi , M. H. Ahmad , Eka Putra Waldi , Rudy Fernandez
Polymer insulators tend to fail because of the climatic and environmental conditions. The failure occurs when the surface of insulator is contaminated by sea salt or cement dust which lead to partial discharge (PD). Leakage currents will increase by PD that causes deterioration of insulation. To predict the insulation failures, an  adaptive neurofuzzy inference system (ANFIS) method using initial color detection processes are proposed to estimate the leakage currents based on the polymer insulator thermal images (infrared signature). In this study, the sodium chloride and kaolin are used as pollutants of the polymer insulator according to IEC 60507 standards. Then, the insulator is tested in the laboratory using AC high voltage applied at 18 kV where the temperature detection is controlled at 26° C and 70% RH (relative humidity). The percentage of colors (Red, Yellow, and Blue) from the thermal image is measured using the color detection method. Correspond to the color percentage, the ANFIS method predicts leakage currents from polymer insulators. Furthermore, this system interprets measured data from insulators that need to be categorized as Safe, Need Maintenance or Harmful. The final application of the system can be a non-contact tool to predict the polymer insulators used by technicians in the field.
Volume: 16
Issue: 3
Page: 1096-1106
Publish at: 2019-12-01

Evaluation of computer network security using attack undirected geography

10.11591/ijeecs.v16.i3.pp1508-1514
Chanintorn Jittawiriyanukoon
To secure a wealth of data traversing the computer network at your fingertips is compulsory. But when attack arises at various parts of the network it is difficult to protect, especially when each incident is investigated separately. Geography is a necessary construct in computer networks. The analytics of geography algorithms and metrics to curate insight from a security problem are a critical method of analysis for computer systems. A geography based representation is employed to highlight aspects (on a local and global level) of a security problem which are Eigenvalue, eccentricity, clustering coefficient and cliques. Network security model based on attack undirected geography (AUG) is familiarized. First, analysis based upon association rules is presented then the attack threshold value is set from AUG. The probability of an individual attack edge and associated network nodes are computed in order to quantify the security threat. The simulation is exploited to validate that results are effective.
Volume: 16
Issue: 3
Page: 1508-1514
Publish at: 2019-12-01
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