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31,456 Article Results

Ubiquitous learning in occupational health and safety for vocational education

10.11591/ijere.v10i1.20823
Ketut Ima Ismara , Amin Suharjono , Didi Supriadi
This research aimed to develop instructional media for occupational safety and health android-based for vocational schools. The second aim is to determine the feasibility of instructional media and student responses. The type of research is research and development (R&D) with the Analysis, Design, Development, Implementation, Evaluation (ADDIE) method, namely, analysis, design, development, implementation, and evaluation. The instrument used for data collection was a questionnaire with fourth scales. Data collection used an assessment questionnaire for two experts and 103 users. Research data analysis techniques used quantitative descriptive analysis. This study's results have produced products in the form of android-based instructional media for Occupational Safety and Health. In this study, we designed and developed an application called Zerosicks for mobile devices to help students learn occupational safety and health principles. The results of testing for all features and navigation work well and under their functions. The assessment results by content experts, media experts, and students as users indicate that this media has a very decent level of eligibility. Suggestions for product development are to add videos to the media, provide selected music, and add discussion forums for users.
Volume: 10
Issue: 1
Page: 285-292
Publish at: 2021-03-01

Satellite image inpainting with deep generative adversarial neural networks

10.11591/ijai.v10.i1.pp121-130
Mohamed Akram Zaytar , Chaker El Amrani
This work addresses the problem of recovering lost or damaged satellite image pixels (gaps) caused by sensor processing errors or by natural phenomena like cloud presence. Such errors decrease our ability to monitor regions of interest and significantly increase the average revisit time for all satellites. This paper presents a novel neural system based on conditional deep generative adversarial networks (cGAN) optimized to fill satellite imagery gaps using surrounding pixel values and static high-resolution visual priors. Experimental results show that the proposed system outperforms traditional and neural network baselines. It achieves a normalized least absolute deviations error of (  &  decrease in error compared with the two baselines) and a mean squared error loss of  (  &  decrease in error) over the test set. The model can be deployed within a remote sensing data pipeline to reconstruct missing pixel measurements for near-real-time monitoring and inference purposes, thus empowering policymakers and users to make environmentally informed decisions.
Volume: 10
Issue: 1
Page: 121-130
Publish at: 2021-03-01

Ultrasound image segmentation through deep learning based improvised U-Net

10.11591/ijeecs.v21.i3.pp1424-1434
Nayana R. Shenoy , Anand Jatti
Thyroid nodule are fluid or solid lump that are formed within human’s gland and most thyroid nodule doesn’t show any symptom or any sign; moreover there are certain percentage of thyroid gland are cancerous and which could lead human into critical situation up to death. Hence, it is one of the important type of cancer and also it is important for detection of cancer. Ultrasound imaging is widely popular and frequently used tool for diagnosing thyroid cancer, however considering the wide application in clinical area such estimating size, shape and position of thyroid cancer. Further, it is important to design automatic and absolute segmentation for better detection and efficient diagnosis based on US-image. Segmentation of thyroid gland from the ultrasound image is quiet challenging task due to inhomogeneous structure and similar existence of intestine. Thyroid nodule can appear anywhere and have any kind of contrast, shape and size, hence segmentation process needs to designed carefully; several researcher have worked in designing the segmentation mechanism, however most of them were either semi-automatic or lack with performance metric, however it was suggested that U-Net possesses great accuracy. Hence, in this paper, we proposed improvised U-Net which focuses on shortcoming of U-Net, the main aim of this research work is to find the probable Region of interest and segment further. Furthermore, we develop High level and low-level feature map to avoid the low-resolution problem and information; later we develop dropout layer for further optimization. Moreover proposed model is evaluated considering the important metrics such as accuracy, Dice Coefficient, AUC, F1-measure and true positive; our proposed model performs better than the existing model. 
Volume: 21
Issue: 3
Page: 1424-1434
Publish at: 2021-03-01

The improving of effectiveness school-based enterprise: A structural equation modeling in vocational school management

10.11591/ijere.v10i1.20953
Arie Wibowo Khurniawan , Illah Sailah , Pudji Muljono , Bambang Indriyanto , M. Syamsul Maarif
The study aimed to investigate the influence of total quality management and school governance on school management effectiveness, whether school governance as an antecedent of total quality management and school management effectiveness. The object of research is the vocational high school with the Regional Public Service Agency status (school-based enterprise) in Indonesia. The research is a quantitative research with survey method. The sample of 533 people who are school principals, teachers, and students. It was selected by proportional stratified random sampling. The data analysis using structural equation modeling (SEM). The research finding is the total quality management has a significant influence on school management effectiveness. The mediation analysis indicates that school governance as the antecedent of total quality management and school management effectiveness. The improvement of effectiveness school-based enterprises should consider implementing total quality management and it will be increasingly by school governance application. The modeling that correlates total quality management and school governance to improved vocational school management effectiveness, especially at vocational school with Regional Public Service Agency status (school-based enterprise).
Volume: 10
Issue: 1
Page: 161-173
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

Dorsal hand vein authentication system using artificial neural network

10.11591/ijeecs.v21.i3.pp1837-1846
Sze Wei Chin , Kim Gaik Tay , Chew Chang Choon , Audrey Huong , Ruzairi Abdul Rahim
Biometric feature authentication technology had been developed and implemented for the security access system. However, the known biometric features such as fingerprint, face and iris pattern failed to provide ideal security. Dorsal hand vein is the features beneath the skin which makes it not easily be duplicated and forged. It was expected to be used in biometric authentication technology to achieve an ideal accuracy with the uniqueness of its characteristics. In this paper, 240 images of 80 users were obtained from Bosphorus Hand Vein Database. The images were then pre-processed by cropping ROI, mean filtering, CLAHE enhancing and histogram equalizing. The ROI was then segmented by implementing binarization. The local binary pattern (LBP) features were then extracted from the segmented ROI. The extracted features were sent to an artificial neural network (ANN) for the classification of the images. The training result shows that the LBP features and ANN can recognize the dorsal hand vein pattern quite well with 99.86% accuracy. The ANN was then utilized in the MATLAB GUI program for testing 100 images (80 trained images of 80 users and 20 untrained images of 20 users) from the Bosphorus Hand Vein Database. The results revealed 100% accuracy in their matching result.
Volume: 21
Issue: 3
Page: 1837-1846
Publish at: 2021-03-01

The automatic and manual railroad door systems based on IoT

10.11591/ijeecs.v21.i3.pp1847-1855
Setiyo Budiyanto , Freddy Artadima Silaban , Lukman Medriavin Silalahi , Triyanto Pangaribowo , Muhammad Hafizd Ibnu Hajar , Alvin Sepbrian , Rachmat Muwardi , Gao Hongmin
The automatic and manual IoT-based rail door (internet of things) is a door bar designed to be able to close and open automatically and manually. The automatic system works based on sensors that detect the presence of trains and system manual works based on the open and Close button on the smartphone. The components to be used are ATmega328 microcontrollers, infrared sensors, power supply, CCTV and android applications. Infrared sensor will detect the presence of the train and the gate will close automatically. Then the doorway will open when the train has crossed the automatic door bar. By the manual way, rail door control can be open and closed with Android smartphones in real-time with graphical display provided by CCTV. The whole process is connected to a WEB server where the program is embedded. Either it is automatic or manual control. From the tests that have been done, that the response data from the server is very fast, which is less than 1 second civil. For infrared sensor 1 there is an average delay of 0,687/sec and Infrared Sensor 2 is 3,449/sec. In realtime CCTV There is an average delay of 0,857/sec.
Volume: 21
Issue: 3
Page: 1847-1855
Publish at: 2021-03-01

Teachers’ views on challenges affecting learners’ performance in natural science

10.11591/ijere.v10i1.20732
M.N.N. Ndjangala , J. Abah , P. Mashebe
In Namibia, natural science (NS) is one of the priority subjects in upper primary phases (Grades 4 to 7). However, in the Omusati Region of Namibia, there are increasing public concerns that many learners are not performing well in NS. Thus, this study surveyed the views of NS teachers on the challenges affecting upper primary learners’ performance in NS at three selected combined schools in the Omusati Region. Qualitative research design using face-to-face interview was used to gather the views of upper primary NS teachers in the schools. Seven teachers who are currently teaching NS at the selected schools were selected using the purposive sampling method to participate in the study. The results obtained revealed that the following challenges affect upper primary learners’ performance in NS in the selected schools: medium of instruction, lack of adequate teaching and learning resources, lack of laboratories, sensitive topics, overcrowded classroom, indiscipline among learners, absenteeism, unfavorable teaching environment, hunger, and lack of proper guidance from subject advisory teachers. The study recommended that the government should provide schools with feeding programs, build laboratories, renovate classes and provide teaching materials. The schools should evolve disciplinary measures to check the learners’ indiscipline.
Volume: 10
Issue: 1
Page: 48-56
Publish at: 2021-03-01

Evaluation of healthcare science student learning styles based VARK analysis technique

10.11591/ijere.v10i1.20718
Izdihar Kamal , Muhammad Khalis Abdul Karim , Mohd Mustafa Awang Kechik , Xinni Ni , Hairil Rashmizal Abdul Razak
This study aimed to evaluate the learning styles among healthcare students and to study the relationship with their academic achievement. This cross-sectional study was conducted among 137 healthcare students from six different courses. Data was collected using a self-administered questionnaire and developed based on the original visual, aural/auditory, read/write, and kinesthetic (VARK) assessment. The questionnaire was divided into two sections: the demographic status and the learning style perspective. A total of 119 respondents (86.8%) has chosen unimodal as their learning styles, while the rest of the 18 respondents (13.2%) choose multimodal as their preferred learning method. Among the unimodal learning styles, visual (32%) and reading (26%) were most preferred among respondents. The auditory and kinesthetic methods of learning were less and accounted for 10% to 20%. Notably, in multimodal learning styles preferences, 4% of students prefer a combination learning style of visual and kinesthetic methods. There was no significant relationship between learning styles and academic achievement using Pearson’s Chi-square test (p>0.05). Hence, both were independent of one another. Hence, some of the dominant learning styles needed to be considered based on their future profession.
Volume: 10
Issue: 1
Page: 255-261
Publish at: 2021-03-01

A novel image encryption scheme based on DCT transform and DNA sequence

10.11591/ijeecs.v21.i3.pp1455-1464
Ali A. Yassin , Abdullah Mohammed Rashid , Abdulla J. Yassin , Hamid Alasadi
Recently, the concept of DNA has been invested in computing technology in different ways which linking information technology and biological sciences. There are several encryption algorithms based on DNA encoding that has been proposed, which leads to generating a new direction in image encryption. However, the DNA encryption scheme has drawbacks such as expensive experimental equipment, difficult operations, and hard to hold its biotechnology. Additionally, during careful cryptanalysis that applied to most of these image encryption schemes, we notice that DNA operators can only influence one DNA base, which causes poor diffusion. Our proposed scheme is not applied complex biological operation but just is given to improve the diffusion ability of image encryption scheme by using DNA sequence and DCT transform. Our works overcome above-aforementioned issues. Furthermore, empirical results on real images and security analysis demonstrate that our proposed scheme not only has flexibility and efficiency encryption scheme but also has the ability to resist well-known attacks such as entropy attack, differential attack, statistical attack, chosen/known plain image attack. Additionally, our work enjoys several strong characteristics as follows: (1) the decryption error is very low to recover the original image; (2) Once key for each encryption process and if the user wants to use the same key in many times, our proposed scheme supports secret key sensitivity; (3) the value of correlation of the encrypted image is null; (4) the scrambling process is good and generate high disorder at the output. As a result, our proposed scheme achieves a good balance between strong security and high performance.
Volume: 21
Issue: 3
Page: 1455-1464
Publish at: 2021-03-01

A new framework based on KNN and DT for speech identification through emphatic letters in Moroccan dialect

10.11591/ijeecs.v21.i3.pp1417-1423
Bezoui Mouaz , Cherif Walid , Beni-Hssane Abderrahim , Elmoutaouakkil Abdelmajid
Arabic dialects differ substantially from modern standard arabic and each other in terms of phonology, morphology, lexical choice and syntax. This makes the identification of dialects from speeches a very difficult task. In this paper, we introduce a speech recognition system that automatically identifies the gender of speaker, the emphatic letter pronounced and also the diacritic of these emphatic letters given a sample of author’s speeches. Firstly we examined the performance of the single case classifier hidden markov models (HMM) applied to the samples of our data corpus. Then we evaluated our proposed approach KNN-DT which is a hybridization of two classifiers namely decision trees (DT) and k-nearest neighbors (KNN). Both models are singularly applied directly to the data corpus to recognize the emphatic letter of the sound and to the diacritic and the gender of the speaker. This hybridization proved quite interesting; it improved the speech recognition accuracy by more than 10% compared to state-of-the-art approaches.
Volume: 21
Issue: 3
Page: 1417-1423
Publish at: 2021-03-01

Technical experience with tempera paintings in a bachelor degree course in Turkey

10.11591/ijere.v10i1.20667
Gonca Erim , Ismail Tetikci , Remziye Ersoy
This article aims to understand the place of the tempera technique in art history, which is thought to be encountered for the first time by art education undergraduate students, and to determine the effects on the participants after the application. The study consists of the findings and results of the first and second research questions in the master thesis “Tempera technique and its use in the course of painting courses on undergraduate level.” In this study the “case study” pattern was used, and is one of the qualitative research approaches. The participants of the research are eight students studying in Bursa Uludag University, Faculty of Education, Department of Fine Arts Education in the 2018-2019 academic year. The data collection tools of literature review and two interview forms interview were used. The findings obtained were evaluated by thematic analysis technique. According to the findings obtained in the research, it was observed that the participants did not have prior knowledge about the tempera technique before oral presentation and application. It was concluded that there were differences in the levels of interest and knowledge after the teaching process, and that there were positive changes in their opinions regarding the technique.
Volume: 10
Issue: 1
Page: 245-254
Publish at: 2021-03-01

Geometrical optic learning difficulties for Moroccan students during secondary/university transition

10.11591/ijere.v10i1.20639
Naoual Nasser , El Mostapha El Khouzai , Abdallah Zahidi
To remedy the difficulties encountered by Moroccan students in geometrical optics during the transition from secondary to higher education and for an efficient education system, we propose this study to investigate the causes of these difficulties as well as their impact on the quality of the secondary/university transition, and come up with a remediation device to overcome them. For this survey, we adopted a mixed method to collect both qualitative and quantitative data. The research tools used are semi-directive interviews with thirty high school and university teachers; questionnaires and exercises were administered to 120 of first year university students. The results of this study revealed the persistence of difficulties in geometrical optics and particularly in geometric construction whose origins are attributed to the misrepresentations and low prerequisites among students as well as a break in the curriculum and teaching methods during the transition from secondary to higher education.
Volume: 10
Issue: 1
Page: 24-34
Publish at: 2021-03-01

An overview of malaria elimination efforts in South Kalimantan from 2010 to 2018

10.11591/ijphs.v10i1.20617
Muhammad Rasyid Ridha , Deni Fakhrizal , Syarif Hidayat , Evi Liani
Malaria elimination in Kalimantan is targeted to be completed by 2020. This study aimed to analyze efforts to eliminate malaria in South Kalimantan from 2010-2018. This research is a descriptive study of the population of South Kalimantan who is at risk of suffering from malaria. This study used a total participation technique involving all cases of malaria recorded in the malaria surveillance information system (SISMAL) 2010-2018 for South Kalimantan. The data used are secondary data obtained from the South Kalimantan Provincial Health Office in 2010-2018, namely the number of suspected malaria cases, confirmation and inspection, treatment use data, bed nets distribution, village stratification and annual parasite incidence (API) in each district. The results showed that there was the trend of malaria elimination efforts in South Kalimantan was increased from 89% of suspected patients in 2010 to 100% in 2018, and trend of API decreased from 1.5‰ in 2010 to 0.21‰ in 2018. So, with the provision of artemisinin combination therapy (ACT), from 78% in 2010 increased to 100% in 2018. All regencies/cities in South Kalimantan showed API number <1‰ in 2018. Stratification of high case incidence (HCI) villages/sub-district in 2018 decreased compared to 2010, from 211 villages to 19 villages, while malaria-free stratification from 0 in 2010 to 1,761 villages. Malaria elimination efforts in South Kalimantan showed a significant increase and it is expected that 2020 South Kalimantan will be free of malaria.
Volume: 10
Issue: 1
Page: 97-102
Publish at: 2021-03-01

Quality of self-management among diabetes mellitus patient

10.11591/ijphs.v10i1.20576
Rapitos Sidiq , Widdefrita Widdefrita , John Amos , Novelasari Novelasari , Mahaza Mahaza , Ismail Ismail
Diabetes mellitus is a chronic disease that has very high morbidity and mortality rate. This disease cannot be cured but can be controlled with good self-management. This research determined the quality of self-management of diabetics at community health centers in Padang City in 2019. This is a descriptive-analytic study with amount of samples 105 people with diabetes. Data collection was carried out from July to November 2019 at seven community health centers in Padang City, namely: Nanggalo, Lapai, Alai, Andalas, Ambacang, Kuranji and Pauh community health centers. Data were collected by interviewing and processed by the stages of coding, editing, tabulating, and transferring. Data were analyzed by bivariate and multivariate analysis (Chi-square and logistic regression) with a significant level of 0.05 (5%). The results showed that 60% of the quality of self-management in good category. Factors that significantly affect the quality of self-management are physical exercise/sports (p-value=0.003), education (p-value=0.006) and regularity of taking medication (p-value=0.021). The quality of self-management is largely good and physical exercise greatly affects the quality of self-management of diabetes mellitus patients.
Volume: 10
Issue: 1
Page: 33-40
Publish at: 2021-03-01
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