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The development and policies of ICT supporting educational technology in Singapore, Thailand, Indonesia, and Myanmar

10.11591/ijere.v10i1.20786
Muhammad Takwin Machmud , Agung Purwa Widiyan , Noer Risky Ramadhani
This study has an objective to identify the development and policies of educational technology application in ASEAN countries. Through the literature review and analysis, this recent study has compared the issue of educational technology development and policies in ASEAN countries. The reviewing country has been chosen based on the Information and Communication Technology (ICT) index amongst the ASEAN countries, that are Singapore (as the highest rank), Thailand & Indonesia (as the middle rank), and Myanmar (as the lowest rank). The result of the study shows that the majority of the countries focused to improve network capabilities in supporting online learning, and the policies of each country showed a similarity in improving the technology equity for the learner. However, Singapore shows more advance technological implementation such as the application of broader Artificial Intelligence in classroom activity, while the use of Artificial Intelligence (AI) in Thailand and Indonesia still in developing progress. In conclusion, the technology education development in ASEAN countries has moved forward through the past year and the policies of educational technology for each country have been similar in strengthening the ASEAN plan.
Volume: 10
Issue: 1
Page: 78-85
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

Pedagogical pattern of running a course on secondary school students’ achievement in waves

10.11591/ijere.v10i1.20729
Nkwo Inyang Nkwo , Margaret Ndidiamaka Anugwo , J. O. Ugama
This study investigated the comparative effectiveness of pedagogical pattern of running a course and talk-chalk methods on senior secondary school students’ achievement in waves. It is triggered by reports of persistent students’ low achievement in physics contributed largely by students’ poor performance in waves-related items. It adopted the quasi-experimental pretest-posttest control group design. Three research questions and hypotheses guided the study. There were 216 students who participated in the study. Physics Achievement Test (PAT) containing 50 multiple-choice researcher-developed items were used as instrument for data collection. Mean and standard deviation were used to answer the research questions while ANCOVA was used to test the hypotheses at 0.05 level of significance. Results showed that: the pedagogical pattern of running a course method was superior method in fostering students’ achievement in waves; female students achieved higher than male students using pedagogical pattern of running a course strategy to teach waves; and there was no significant interaction effect of teaching methods and gender on students’ achievement in waves. From the findings, it was recommended that the pedagogical pattern of running a course strategy should be used in teaching physics in secondary school education system and in training of teachers.
Volume: 10
Issue: 1
Page: 336-344
Publish at: 2021-03-01

Analysis of teacher performance to build student interest and motivation towards mathematics achievement

10.11591/ijere.v10i1.20711
Hardi Tambunan , Bornok Sinaga , Wahyu Widada
The purpose of this study was to determine the impact and categories of teacher performance in building student interest and motivation on mathematics achievement. The population in this study was students in the eighth grade of junior high schools from six public and two private schools, and a sample of 277 students was taken by cluster sampling. Data collection instruments used a questionnaire, and data analysis was done by using by descriptive and path analysis. The results of data analysis showed that partially, teacher performance significantly affected student interest and motivation excel at mathematics. Simultaneously, teacher performance is very significant in influencing student interest and motivation to be excellent in mathematics. Partially, teacher performance builds interest and student motivation for mathematics achievement is low category. Simultaneously, teacher performance builds student interest and motivation to excel at mathematics is low category. Both of these can be caused by the ability of teachers to build motivation and interest is not good, so students are also less interested and motivated to learn mathematics.
Volume: 10
Issue: 1
Page: 42-47
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

Simulation and manufacturing of modified circular monopole microstrip antenna for UWB applications

10.11591/ijaas.v10.i1.pp70-78
Bilal S. Taha , Hamzah M. Marhoon
Ultra-wideband (UWB) technology is one of the most promising wireless communication solutions to be developed quickly because of the high-speed data, wide bandwidth and excellent immunity to multipath interference. In this work, the compact design of a modified circular monopole microstrip antenna is simulated and manufactured for the UWB applications. The simulation process of the proposed antenna was done based on the finite integration of the computer simulation technology (CST) microwave studio (MWS). The proposed antenna comprises a copper radiating patch, Roger’s Kappa-438 substrate, and a single stub act as a reflector. The simulation results showed a reasonable agreement with the results of the measurement and good performance was achieved in the range from 1.8 to 10 GHz with VSWR less than 2.0.
Volume: 10
Issue: 1
Page: 70-78
Publish at: 2021-03-01

Antioxidant activity of soybean and gembus tempeh

10.11591/ijphs.v10i1.20511
Sunarti Sunarti , Rosyida Awalia Safitri , Agustina LN Aminin , Mohammad Sulchan , Banundari Rahmawati
Soybean tempeh and gembus tempeh are traditional foods that have long been known in Indonesia, which in a modern way are classified as functional food. Various studies related to the antioxidant activity of soybean and gembus tempeh has been reported. This study aimed to compare the antioxidant capacity of soybean tempeh and gembus tempeh that are circulating in the community. The results of the research are expected to be an evaluation of soybean tempeh and gembus tempeh quality available in the market. The results of this research are expected to be an evaluation of soybean tempeh and gembus tempeh quality available in the market. The research design was a cross-sectional experimental study to measure antioxidants activity of 31 soybeans tempeh and 29 gembus tempeh. Sample of this study was selected through simple random sampling technique. The measurement of antioxidant activity carried out was the 2.2-diphenyl 1-picrylhydrazyl (DPPH) method; ethanol extraction of 95%. Results revealed that the antioxidant activity of gembus tempeh was significantly higher than soybean tempeh; (32.521; 19.831) vs., (17.016; 13.195), respectively.
Volume: 10
Issue: 1
Page: 83-87
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

Breast cancer prediction model with decision tree and adaptive boosting

10.11591/ijai.v10.i1.pp184-190
Tsehay Admassu Assegie , R. Lakshmi Tulasi , N. Komal Kumar
In this study, breast cancer prediction model is proposed with decision tree and adaptive boosting (Adboost). Furthermore, an extensive experimental evaluation of the predictive performance of the proposed model is conducted. The study is conducted on breast cancer dataset collected form the kaggle data repository. The dataset consists of 569 observations of which the 212 or 37.25% are benign or breast cancer negative and 62.74% are malignant or breast cancer positive. The class distribution shows that, the dataset is highly imbalanced and a learning algorithm such as decision tree is biased to the benign observation and results in poor performance on predicting the malignant observation. To improve the performance of the decision tree on the malignant observation, boosting algorithm namely, the adaptive boosting is employed. Finally, the predictive performance of the decision tree and adaptive boosting is analyzed. The analysis on predictive performance of the model on the kaggle breast cancer data repository shows that, adaptive boosting has 92.53% accuracy and the accuracy of decision tree is 88.80%, Overall, the adaboost algorithm performed better than decision tree.
Volume: 10
Issue: 1
Page: 184-190
Publish at: 2021-03-01

Implementation of an incremental deep learning model for survival prediction of cardiovascular patients

10.11591/ijai.v10.i1.pp101-109
Sanaa Elyassami , Achraf Ait Kaddour
Cardiovascular diseases remain the leading cause of death, taking an estimated 17.9 million lives each year and representing 31% of all global deaths. The patient records including blood reports, cardiac echo reports, and physician’s notes can be used to perform feature analysis and to accurately classify heart disease patients. In this paper, an incremental deep learning model was developed and trained with stochastic gradient descent using feedforward neural networks. The chi-square test and the dropout regularization have been incorporated into the model to improve the generalization capabilities and the performance of the heart disease patients' classification model. The impact of the learning rate and the depth of neural networks on the performance were explored. The hyperbolic tangent, the rectifier linear unit, the Maxout, and the exponential rectifier linear unit were used as activation functions for the hidden and the output layer neurons. To avoid over-optimistic results, the performance of the proposed model was evaluated using balanced accuracy and the overall predictive value in addition to the accuracy, sensitivity, and specificity. The obtained results are promising, and the proposed model can be applied to a larger dataset and used by physicians to accurately classify heart disease patients.
Volume: 10
Issue: 1
Page: 101-109
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

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

Recent development of smart traffic lights

10.11591/ijai.v10.i1.pp224-233
A’isya Nur Aulia Yusuf , Ajib Setyo Arifin , Fitri Yuli Zulkifli
Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.
Volume: 10
Issue: 1
Page: 224-233
Publish at: 2021-03-01
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