Pedro Aliomar Pessoa de Aquino, Fernando Cruz, Maria De Lourdes C. de Araújo
{"title":"Cinquentenário da Unimed Recife","authors":"Pedro Aliomar Pessoa de Aquino, Fernando Cruz, Maria De Lourdes C. de Araújo","doi":"10.52329/AVANMED.1","DOIUrl":"https://doi.org/10.52329/AVANMED.1","url":null,"abstract":"Editorial","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"3 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2021-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75554850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Covid-19 : Tingkat Stres Belajar Anak-Anak Di Daerah Terpencil","authors":"H. Husin, Sawitri Sawitri","doi":"10.35931/AM.V5I2.542","DOIUrl":"https://doi.org/10.35931/AM.V5I2.542","url":null,"abstract":"Pemerintah Indonesia mengeluarkan kebijakan Pembelajaran jarak jauh (PJJ) dalam mencegah penyebaran covid-19 pada satuan pendidikan, yang mana setiap pembelajaran dilakukan tanpa tatap muka langsung seperti belajar di `rumah aja. Hal ini menimbulkan stres bagi anak didik karena mereka kesulitan memenuhi kebutuhan belajar terutama anak di daerah terpencil. Pada bulan oktober 2020 ada tiga kasus anak meninggal akibat stres belajar dirumah aja karena beberapa alasan yaitu tidak memiliki handphone, kouta internet dan jaringan kurang stabil, kesulitan memahami pembelajaran, banyaknya tugas sekolah, kurangnya pengetahuan orang tua dalam mendampingi anak belajar, sedikitnya waktu orang tua pekerja dalam mendampingi anak belajar, dan terbatasnya kehidupan sosial anak. Tujuan penelitian untuk mengetahui covid-19 dan tingkat stres anak dalam belajar masa pandemi di daerah terpencil. Penelitian ini menggunakan pendekatan kualitatif post-positivistik dengan jenis case study serta prosedur pengumpulan data studi lapangan observasi, angket dan wawancara. Penelitian ini menghasilkan temuan bahwa tingkat stres anak dalam belajar masa pandemi covid-19 di daerah terpencil sangatlah tinggi. Hasil penelitian ini berkontribusi terhadap kajian-kajian dampak PJJ terhadap kualitas psikologi belajar anak sehingga bisa dijadikan sebagai argument untuk menimbang kembali penerapannya dalam proses pembelajaran.","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"5 1","pages":"101"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81934078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TATHBȊQ WASȊLAH AL-TA'LIM \"POWTOON\" FȊ TARQIYYATI MAHᾹRAH AL-QIRᾹ'AH","authors":"U. Hanifah, Muhfidatul Winda Winda Hidayah","doi":"10.35931/AM.V4I1.362","DOIUrl":"https://doi.org/10.35931/AM.V4I1.362","url":null,"abstract":"Among the problems of learning Arabic in Islamic schools is the number of students who find it difficult to learn reading skills, one of the reasons is the use of learning media that is not effective and causes students to get bored. Therefore, in this study the authors examine the \"Powtoon\" learning media to improve reading skills. The purpose of this study was to determine the application of the \"Powtoon\" learning media and the effectiveness of its application in improving reading skills, therefore this research is very important for Arabic teachers in solving the problem of learning reading skills. This study is a quantitative study. The subjects in this study were students of class VII at State Islamic Junior High School 2 Sidoarjo. Data collection uses observation, interview and test. The results showed that the application of the \"Powtoon\" learning media was effective in improving the reading skills students of class VII at State Islamic Junior High School 2 Sidoarjo with a score of t_0, the result was 29.8 and tt was 1.701, so t_0 was greater than tt which means that the null hypothesis (Ho) is Rejected and the alternative hypothesis (Ha) is accepted. \u0000Keywords: Learning Media, Powtoon, Reading Skills,","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"148 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77905700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mielite aguda flácida","authors":"M. M. Valença, Juliana Ramos de Andrade","doi":"10.52329/AVANMED.17","DOIUrl":"https://doi.org/10.52329/AVANMED.17","url":null,"abstract":"","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"40 1","pages":"83"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86383236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PENGARUH SUPERVISI KEPALA MADRASAH DAN KOMPETENSI GURU TERHADAP KINERJA GURU DI MADRASAH IBTIDAIYAH NEGERI SE-KABUPATEN SAMBAS","authors":"Arnadi Arnadi, P. Putra, Hamdah Hamdah","doi":"10.35931/AM.V5I2.414","DOIUrl":"https://doi.org/10.35931/AM.V5I2.414","url":null,"abstract":"Tujuan dalam penelitian; mendiskripsikan dan menganalisis dari hasil penelitian MIN Se-Kabupaten Sambas yang berjumlah 68 guru. Pengumpulan data dengan metode kuesioner. Uji validitas instrumen dengan teknik analisis product moment, sedangkan uji reliabilitas dengan koefisien alpha. Teknik analisis data menggunakan analisis regresi berganda. Sebelum analisis data terlebih dahulu diadakan pengujian persyaratan analisis uji normalitas. Hasil penelitian menunjukkan bahwa: (1) terdapat pengaruh supervisi kepala madrasah terhadap kinerja guru dengan nilai signifikansi sebesar 0.029 dan besarnya pengaruh 0.070 (7%) (2) memiliki nilai signifikansi sebesar 0.459 (45.90%) dan (3) terdapat pengaruh positif dan signifikan secara simultan signifikansinya sebesar 0.00 dan 0.521 (52.10%) artinya pengaruh antara variable supervisi kepala madrasah dan kompetensi guru (X2) terhadap kinerja guru (Y) artinya memiliki kekutan tinggi. Implikasi penelitian ini pentingnya peningkatan kinerja guru yaitu peningkatan supervisi kepala madrasah harus dilakukan dengan baik baik dari perencanaan supervisi, pelaksanaan supervisi serta tindak lanjut supervisi sehingga guru mendapatkan pembinaan, perhatian dan pengawasan yang baik, dan merasakan bahwa dengan adanya supervisi kepala madrasah, guru dapat meningkatkan kompetensi dan kinerjanya. Semakin baik supervisi kepala madrasah yang dilakukan maka akan semakin baik pula kompetensi dan kinerja guru.","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"4 1","pages":"90-100"},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85679449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"English language learning by visualizing the literary content of a knowledge base in the three-dimensional space","authors":"I. Boda, E. Tóth","doi":"10.33039/AMI.2021.04.003","DOIUrl":"https://doi.org/10.33039/AMI.2021.04.003","url":null,"abstract":"In our paper we would like to present and visualize the details of the data structure and organization of our three-dimensional virtual library model (3DVLM). The current implementation of the model is based on the features of the three-dimensional virtual space of the MaxWhere Seminar System [23] which provides carefully arranged smartboards in the 3D space for hypertextbased content.","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"48 1","pages":"45-59"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76342168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How well can screening sensitivity and sojourn time be estimated","authors":"Ayman Hijazy, A. Zempléni","doi":"10.33039/AMI.2021.03.001","DOIUrl":"https://doi.org/10.33039/AMI.2021.03.001","url":null,"abstract":"Chronic disease progression models are governed by two main parameters: preclinical intensity and sojourn time. The estimation of these parameters helps in optimizing screening programs (with an additional parameter: sensitivity of the screens), and we examine their effect in improving survival. Multiple approaches exist for estimating these parameters. However, these models are based on strong underlying assumptions. Our main aim is to investigate the effect of these assumptions. For this purpose, we developed a simulator to mimic a breast cancer screening program while directly observing the exact onset and the sojourn time of the disease. We then examine the performance of the model under different parameterizations and investigate the effects of different models on the sensitivity, the inter-screening intervals and misspecification of the used parametric distributions. Our results indicate a strong correlation among the estimated parameters. Besides, the underlying assumptions have a strong effect on the overall performance of the model. These findings shed a light on the seemingly discrepant results obtained by different authors using the same data sets but different assumptions.","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"67 7 1","pages":"139-155"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83436691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Construction of Password Based Security Door-Lock System Using Arduino","authors":"N. Juliana","doi":"10.31058/J.AM.2021.52001","DOIUrl":"https://doi.org/10.31058/J.AM.2021.52001","url":null,"abstract":"","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"45 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82900673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi dimensional analysis of sensor communication processes","authors":"Mohamed Amine Korteby, Zoltán Gál, P. Polgár","doi":"10.33039/AMI.2021.03.005","DOIUrl":"https://doi.org/10.33039/AMI.2021.03.005","url":null,"abstract":"The Internet of Things requires communication mechanism to be optimal not only from the data transfer but from the energy consumption point of view, too. One of the most analyzed types of the sensor network is Low Energy Adaptive Clustering Hierarchy (LEACH) system depending on the population density, algorithm of cluster head election, heterogeneity of the energy and physical position of the nodes, velocity of the sink node, data aggregation rate and size of the data frame. Complexity of the system has been analyzed based on status data series of 360 simulation cases. New family of wireless sensor network (WSN) system is proposed with name CB-LEACH, having better characteristics than the classical LEACH system. The service ability of sensor network and dependency properties was done with analytic technique based on Singular Value Decomposition (SVD). Using this method there were identified most important modes serving as basis to regenerate responses of the studied sensor systems. It was found that the number of significant modes is just six. The novelty of the paper is a proof of concept that SVD is a useful multidimensional tool which can be used for describing the behavior of the newly proposed CB-LEACH family of sensor network","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"354 1","pages":"169-182"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76484518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Bogacsovics, A. Hajdu, Róbert Lakatos, Marcell Beregi-Kovács, Attila Tiba, H. Tomán
{"title":"Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy","authors":"G. Bogacsovics, A. Hajdu, Róbert Lakatos, Marcell Beregi-Kovács, Attila Tiba, H. Tomán","doi":"10.33039/AMI.2021.02.003","DOIUrl":"https://doi.org/10.33039/AMI.2021.02.003","url":null,"abstract":"Researchers often use theoretical models which provide a relatively sim- ple, yet concise and effective way of modelling various phenomena. However, it is a well-known fact that the more complex the model, the more complex the mathematical description is. For this reason, theoretical models generally avoid large complexity and aim for the simplest possible definition, which although makes models mathematically more manageable, in practice it also often leads to sub-optimal performance. Furthermore, the data collected during the observations usually contain confounding factors, for which a simple theoretical model can not be prepared. Overall, mathematical models are usually too rigid and sophisticated, and therefore cannot really deal with sudden changes in the environment. The application of artificial intelligence, however, provides a good opportunity to develop complex models that can combine the basic capabilities of the theoretical models with the ability to learn more complex relationships. It has been shown [16] that with neural networks, we can build such models that can approximate mathematical functions. Trained artificial neural networks are thus able to behave like theoretical models developed for different fields, while still retaining their overall flexibility, which guarantees an overall better performance in a complex realworld environment. The aim of our study is to show our notion that we can create an architecture using neural networks, which is able to approximate a given theoretical model, and then further improve it with the help of real data to suit the real world and its various aspects better. In order to validate the functionality of the architecture developed by us, we have selected a simple theoretical model, namely the Kermack-McKendrick one [4] as the base of our research. This is an SIR [2] model, which is a relatively simple compartmental epidemic model, based on differential equations that can be used well for infections that spread very similarly to influenza or COVID. However, on one hand, the SIR model relies too heavily on its parameters, with slight changes in them leading to drastic overall changes of the S, I and R curves, and on the other hand, the simplicity of the SIR model distorts its accuracy in many cases. In our paper, by using the SIR model, we will show that the architecture described above can be a valid approach to modeling the spread of a given disease (such as influenza or COVID-19). To this end, we detail the accuracy of our models with different settings and configurations and show that it performs better than both a simple mathematical model and a plain neural network with randomly initialized weights.","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"284 1","pages":"73-91"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87096682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}