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29,905 Article Results

Electrode size influence on static and dynamic single cell lead-acid battery

10.12928/telkomnika.v17i6.11913
Muhammad; University of Brawijaya Ghufron , Kurriawan Budi; Universitas Kanjuruhan Malang Pranata , Istiroyah; University of Brawijaya Istiroyah , Masruroh; University of Brawijaya Masruroh , Cholisina Anik; University of Brawijaya Perwita , Ahmad A.; University of Brawijaya Amirullah , Nur; University of Brawijaya Khairati , Yofinda Eka; University of Brawijaya Setiawan , Fakhrusy R.; University of Brawijaya Ramadhan
Renewable energy such as solar energy, waves and wind require batteries as a storage of electrical energy which still has constraints related to voltage, capacity, and energy efficiency. This experiment aims to determine the effect of electrode size on lead-acid dynamic and static battery capacity and energy efficiency. Dynamic and static single cell lead-acid batteries consist of three different electrode sizes, 13.5x7.5 cm2 (A1); 22.5x7.5 cm2 (A2) and 32.5x7.5 cm2 (A3) have been developed. Continuous and simultaneous charge-discharge test using turnigy accucell-6 50 w and chargemaster 2.02 software as graphic programming. Based on experiments, dynamic batteries perform better than static batteries with a difference in capacity of up to 48% and differences in energy efficiency up to 17%. The best performance is obtained on A3 dynamic batteries with an average capacity capacity of 10357 mAh and an average energy efficiency of 81%.
Volume: 17
Issue: 6
Page: 2919-2925
Publish at: 2019-12-01

Job Satisfaction and performance of elementary school teachers

10.11591/ijere.v8i4.20264
Agustinus Kia Wolomasi , Sandra Ingried Asaloei , Basilius Redan Werang
Given the high demands of contemporary community on the development of the youth, teachers’ job performance both inside and outside the classroom is of crucial for all partake parties, including school leaders, parents, education policymakers, and community at large. This study was meant to describe job satisfaction of elementary school teachers of Boven Digoel district, Papua, and how it predicts their job performance. To do so, we applied a survey research. Two survey questionnaire were self-administered to 352 teacher-respondent which were incidentally drawn from amongst 412 elementary school teachers of Boven Digoel district, Papua. Derived data were examined statistically using simple linear regression analysis method by utilizing Statistical Package for the Social Sciences (SPSS) version 21. Result of data analysis showed that job performance of elementary school teachers of Boben Digoel district is significant positively predicted by their job satisfaction. Finding of this study may be imperative for the school management and education administrator at the regional authority to make paramount efforts of creating valuable plans for enhancing teacher’s satisfaction in order to promote a better job performance of elementary school teachers of Boven Digoel district, Papua.
Volume: 8
Issue: 4
Page: 575-580
Publish at: 2019-12-01

Learning styles and teaching styles determine students’ academic performances

10.11591/ijere.v8i4.20345
Nithya Dewi Subramaniam Chetty , Lina Handayani , Noor Azida Binti Sahabudin , Zuraina Ali , Norhasyimah Hamzah , Shahreen Kasim
Individuals learn in different ways using several learning styles, but lecturers may not always share material and learning experiences that match students’ learning preferences. Mismatches between learning and teaching styles can lead to disappointment with students are taking, and lead to underperformance among them. The aim of this study is to identify the learning styles of the students enrolled in Universiti Malaysia Pahang who were registered in Programming Technique course and to investigate the relationship between students’ learning styles and teachers’ teaching styles. Five lecturers and 251 students were involved in the study as participants and. Data from students were collected using Leonard, Enid’s VAK Learning Style Survey. Meanwhile, the teaching styles of the lecturers were identified using Grasha and Reichmann’s Teaching Style Survey. The findings revealed that majority of the student’s preferred visual learning style. The result also shows that the lecturers’ teaching styles give an impact towards the students’ academic performance. From this study, we can conclude that teaching styles have significant impacts on students’ learning styles and academic performances.
Volume: 8
Issue: 4
Page: 610-615
Publish at: 2019-12-01

Emotional eating, snacking behavior and nutritional status among adolescents

10.11591/ijphs.v8i4.20398
Yulia Rachmawati , Sapja Anantanyu , Kusnandar Kusnandar
The tendency to eat in response to stress known as emotional eating (EmE). Individuals with EmE usually has been change their dietary pattern towards more unhealthy snacking which contribute to overweight. This study aims to examine the interrelationship between EmE, snacking behavior and nutritional status among adolescents. This was an analytic observational with a cross sectional design study. It was conducted in Surakarta, on August 2019. Total 140 adolescents aged 14-17 years were selected. The data ofEmE were measured by Emotional Eater Questionnaire (EEQ), data of snacking behaviour measured by food frequencies questionnaire (FFQ),and BMI were measured using weight scale and microtoice. Data wereanalyzed by descriptive, bivariate and binary logistic using SPSS v.23. There was significantly difference of EmE and snacking behavior in underweight, normal, and overweight adolescents. We found that underweight (4.17±3.16) and normal individuals (4.97±4.19) were not an emotional eater, and less sweet snacks and sweet drinks consumption while overweight individuals were an emotional eater (14.26±6.04) and eat more sweet snacks, and sweet drinks (p<0.001) during negative emotional states. It was shown that emotional eating and snacking behavior were found higher in overweight than underweight and normal individuals.
Volume: 8
Issue: 4
Page: 413-418
Publish at: 2019-12-01

Optimal controllers design for voltage control in Off-grid hybrid power system

10.11591/ijece.v9i6.pp4586-4597
Harsha Anantwar , Shanmukha Sundar , B. R. Laksmikantha
Generally, for remote places extension of grid is uneconomical and difficult. Off-grid hybrid power systems (OGHPS) has  renewable energy sources integrated with conventional sources. OGHPS is very significant as it is the only source of electric supply for remote areas. OGHPS under study  has Induction generator (IG) for wind power generation, Photo-Voltaic source with inverter, Synchronous generator (SG) for Diesel Engine (DE) and load. Over-rated PV-inverter has capacity to supply reactive power.  SG of  DE  has Automatic voltage regulator for excitation control to regulate terminal voltage. Load and IG demands reactive power, causes reactive power imbalance hence voltage fluctuations in OGHPS. To manage reactive power for voltage control, two control structures with Proportional–Integral controller(PI), to control  inverter reactive power and  SG excitation by automatic voltage regulator are incorporated.  Improper tuning of controllers lead  to oscillatory and sluggish response. Hence in this test system both controllers need to be tune optimally. This paper proposes novel intelligent computing algorithm , Enhanced Bacterial forging algorithm (EBFA) for optimal reactive power controller for voltage control in OGHPS. Small signal model of OGHPS with proposed controller is  tested for different disturbances. simulation results  are compared  with conventional  method , proved the effectiveness of EBFA.
Volume: 9
Issue: 6
Page: 4586-4597
Publish at: 2019-12-01

English for specific technical and engineering academic purposes: An analysis on ESL practitioners’ challenges

10.11591/ijere.v8i4.20300
Nor Yazi Khamis , Azwin Arif Abdul Rahim , Supyan Hussin
The facilitation of English for Specific Engineering Academic Purposes approach at Malaysian technical and engineering tertiary institutions is an effort to revitalise the pedagogical methods of ESL learning and communication skills at the institutions. A close examination on the ESL practitioners’ context has indicated a critical gap between the diversified requirements of skills and sound pedagogical models to determine the practitioners’ quality. In understanding the necessity of the approach, this study aims to explore and investigate the challenges faced by the practitioners in facilitating the approach. The study comprised data gathered from semi structured interviews of 14 ESL experts and an online survey on 42 ESL practitioners in technical and engineering fields. Interview questions for the experts were developed to find out about the challenges and competencies to overcome the hurdles. A self-assessed instrument with a five-Likert scale of importance on the competencies was used to gauge the practitioners’ view onn the approach. Frequencies and percentages, and Braun and Clarke’s (2006) six-stage method of thematic analysis were used to analyse the data. Findings from the both inquiries revealed several challenges which led to the necessity of wider knowledge and understanding of the approach and the prevalent of specific competencies for the practitioners in overcoming the challenges. The practitioners’ competency was substantially indispensable because it could affect their learners’ interest in learning the skills as well as in understanding the content subject.quality agencies to review and specify the requirement and guideline for ESL practitioners specifically those at technical and engineering tertiary institutions.
Volume: 8
Issue: 4
Page: 699-704
Publish at: 2019-12-01

Evaluation of proposed amalgamated anonymization approach

10.11591/ijeecs.v16.i3.pp1439-1446
Deepak Narula , Pardeep Kumar , Shuchita Upadhyaya
In the current scenario of modern era, providing security to an individual is always a matter of concern when a huge volume of electronic data is gathering daily. Now providing security to the gathered data is not only a matter of concern but also remains a notable topic of research. The concept of Privacy Preserving Data Publishing (PPDP) defines accessing the published data without disclosing the non required information about an individual. Hence PPDP faces the problem of publishing useful data while keeping the privacy about sensitive information about an individual. A variety of techniques for anonymization has been found in literature, but suffers from different kind of problems in terms of data information loss, discernibility and average equivalence class size. This paper proposes amalgamated approach along with its verification with respect to information loss, value of discernibility and the value of average equivalence class size metric. The result have been found encouraging as compared to existing  k-anonymity based algorithms such as Datafly, Mondrian and Incognito on various publically available datasets.
Volume: 16
Issue: 3
Page: 1439-1446
Publish at: 2019-12-01

Cryptographic adaptation of the middle square generator

10.11591/ijece.v9i6.pp5615-5627
Hana Ali-Pacha , Naima Hadj-Said , Adda Ali-Pacha , Mohamad Afendee Mohamed , Mustafa Mamat
Currently, cryptography plays a major role in various computer and technological applications. With the high number of internet users, the use of cryptography to provide information security has become a priority. Several applications such as e-mails, electronic banking, medical databases and e-commerce require the exchange of private information. While, if the connection is not secure, this sensitive information can be attacked. The best-known cryptographic systems rely on the generation of random numbers, which are fundamental in various cryptographic applications such as key generation and data encryption. In what follows, we want to use pseudo-random sequences generated by the middle square generator. In this work, it must be possible to estimate that the data produced has random characteristics, knowing that the algorithm used is deterministic. Overall, this paper focuses on the testing of pseudo-random sequences generated by the middle square generator and its use in data encryption.
Volume: 9
Issue: 6
Page: 5615-5627
Publish at: 2019-12-01

Multimodal biometrics with serial, parallel and hierarchical mode at decision level fusion

10.11591/ijeecs.v16.i3.pp1303-1310
Priti Shivaji Sanjekar , J. B. Patil
Biometric based personal authentication is playing a vital role in various security based applications. This paper presents the effective fusion of fingerprint, palmprint and iris traits at decision level. Combining different traits at the decision level is a challenging task due to less information available at this level. The focus of the work is to examine the performance of multimodal biometrics at decision level fusion in three different i.e. serial, parallel and hierarchical modes of operation. Serial mode is performed by taking unimodals serially while parallel mode of operation is carried out by processing all modals simulatenously using Majority Voting Rule and the hierarchical mode of operation is performed with proper combination of traits in parallel and serial mode using AND and OR rule. The experiments are performed on 100 different users from publically available FVC2006 fingerprint database, CASIA V1 palmprint database and IITD iris database. The experimental results suggest that proper fusion of different traits in hierarchical way can give best performance even at decision level fusion as compared to serial and parallel mode of operation.
Volume: 16
Issue: 3
Page: 1303-1310
Publish at: 2019-12-01

Clinical conditions and history of illness among terminal chronic kidney disease patients

10.11591/ijphs.v8i4.20362
Titiek Hidayati , Arya Adiningrat , Akrom Akrom
End-stage renal disease (ESRD) is one of the public health problems in Indonesia. This study aimed to determine the clinical condition of premorbid and the incidence of ESRD. The study design is a case-control. The number of volunteers involved in this study was 100 patients. The cases were ESRD patients who were determined by the criteria of Pernefri and the controls were patients from the same hospital who were not ESRD by the requirements of ESRD Pernefri. Inclusion criteria of the study sample were ESRD sufferers need routine hemodialysis and doctor's diagnosis supported by laboratory data, 15-75 years old and willing to fill out inform consent. Exclusion criteria for the study sample were patients with congenital kidney disease, Have a history of kidney transplants, and mental disorder. We collected demographic data, and patient’s clinical and drug history from medical records. Chi-square analysis with 2x2 tables and the Fisher's exact test were used to determine the relationship of clinical conditions and history of disease with the incidence of ESRD. The results showed that anemia, hyperglycemia, and hypertriglyceridemia were related to the prevalence of ESRD. History of hypertension, diabetes mellitus, dyslipidemia, and family history of ESRD are associated with an increased incidence of ESRD.
Volume: 8
Issue: 4
Page: 385-390
Publish at: 2019-12-01

Improving software development effort estimation using support vector regression and feature selection

10.11591/ijai.v8.i4.pp399-410
Abdelali Zakrani , Mustapha Hain , Ali Idri
Accurate and reliable software development effort estimation (SDEE) is one of the main concerns for project managers. Planning and scheduling a software project using an inaccurate estimate may cause severe risks to the software project under development such as delayed delivery, poor quality software, missing features. Therefore, an accurate prediction of the software effort plays an important role in the minimization of these risks that can lead to the project failure. Nowadays, the application of artificial intelligence techniques has grown dramatically for predicting software effort. The researchers found that these techniques are suitable tools for accurate prediction. In this study, an improved model is designed for estimating software effort using support vector regression (SVR) and two feature selection (FS) methods. Prior to building model step, a preprocessing stage is performed by random forest or Boruta feature selection methods to remove unimportant features. Next, the SVR model is tuned by a grid search approach. The performance of the models is then evaluated over eight wellknown datasets through 30%holdout validation method. To show the impact of feature selection on the accuracy of SVR models, the proposed model was compared with SVR model without feature selection. The results indicated that SVR with feature selection outperforms SVR without FS in terms of the three accuracy measures used in this empirical study.
Volume: 8
Issue: 4
Page: 399-410
Publish at: 2019-12-01

Lifestyle profile of elderly living with non-communicable disease in Bangkok and Surabaya

10.11591/ijphs.v8i4.20371
Ni Putu Wulan Purnama Sari , Jintana Artsanthia
Lifestyle is one of the underlying risk factor of non-communicable disease (NCD). Dietary habit and exercise pattern are two indicators of lifestyle. Elderly are prone to NCD due to increased age which being independent risk factor. This study aimed to analyze and compare the lifestyle profile of elderly living with NCD between Bangkok and Surabaya, in term of dietary habit and exercise pattern, and to determine the best predictor of sedentary lifestyle among this population. This cross-sectional study involved 100 and 96 elderly with HT and/or DM in communities of Bangkok and Surabaya respectively (n=196). Self-developed instrument was used in data collection (r=0.178–0.715, Chronbach Alpha=0.644). Mann-Whitney U and regression tests were used in data analysis (α<0.05). There was a significant difference of lifestyle in elderly living with NCD between Bangkok and Surabaya (p=0.008), especially in term of eat variety food (p=0.002), oily food (p=0.015), and curry with coconut milk (p=0.026). Eat vegetable and fruit could not predict dietary habit in elderly living with NCD (p=0.064). Eat fermented food was came up as the best predictor of lifestyle (p=0.000). It was accounted for 52.1% variance in lifestyle score in this population.
Volume: 8
Issue: 4
Page: 432-440
Publish at: 2019-12-01

Generating RDF resources from web open data portals

10.11591/ijeecs.v16.i3.pp1521-1529
Khalid Saleh Aloufi
Open data are available from various private and public institutions in different resource formats. There are already great number of open data that are published using open data portals, where datasets and resources are mainly presented in tabular or sheet formats. However, such formats have some barriers with application developments and web standards. One of the web recommenced standards for semantic web application is RDF. There are various research efforts have been focused on presenting open data in RDF formats. However, no framework has transformed tabular open data into RDFs considering the HTML tags and properties of the resources and datasets. Therefore, a methodology is required to generate RDF resources from this type of open data resources. This methodology applies data transformations of open data from a tabular format to RDF files for the Saudi Open Data Portal. The methodology successfully transforms open data resources in sheet format into RDF resources. Recommendations and future work are given to enhance the development of building open data.
Volume: 16
Issue: 3
Page: 1521-1529
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

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
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