Reviewerly/exHarmony huggingface dataset:
STRATEGIES AT MINIMIZING OUT OF SCHOOL CHILDREN IN ILORIN METROPOLIS

This study examined the strategies at minimizing out of school children in Ilorin metropolis. One (1) research question guided this study. To achieve this, the descriptive survey research design was adopted which focused on Ilorin, comprises of three (3) local government namely; Ilorin East, Ilorin West and Ilorin South while it adopted proforma as an instrument for data collection. The proforma covers a statistical book titled; “Annual school census report by Kwara State Ministry of Education and State ministry of education and human capital development 2014/2015 and 2015/2016 Edition. The finding revealed that the rate of dropout among children in Public and Private schools in the three local governments’ area in Ilorin metropolis was 31.9%.. To this end, the researchers recommends among others that, The UBE ACTS and other related matters of 2004 should sanction erring parents that prevent children from going to school especially through unscrupulous activities related to street hawking , child labour and all sorts of child molestation.
On the Determinants of Economic Growth: Empirical Evidence from Afghanistan

This research reviewed the determinants of economic growth in Afghanistan on the basis of endogenous and exogenous growth theories and empirical studies.The main objective of this research was to address the impact of domestic investment, export, official development assistance and import (independent variables) on the economic growth (dependent variable) in Afghanistan.This study adopted a quantitative method of Ordinary Least Square regression and Co-integration analysis to address the impact and long-run association among variables.The findings from OLS regression depicted that domestic investment, export, and imports are significantly correlated to economic growth, while foreign aid/official development assistance are insignificant.In addition to OLS regression, researcher also did Johansen Co-integration test to determine the long-run association of variables.It was found that long run relationship exists among the variables, which reaffirm that domestic investment and foreign aid are significant variables in bringing alteration in economic growth.This means that the Afghan government should emphasize on attraction of domestic capital to boost investment and achieve high economic growth as accordingly.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS UNTUK KLASIFIKASI PENYAKIT ISPA

With the rapid development of technology in all fields, from the government, education, agriculture and especially in the health sector, technology can provide fast and accurate information for health teams, doctors, nurses and even patients themselves to make it easier to control their own health. Acute Respiratory Infections (ARIs) are diseases of the upper or lower respiratory tract, usually contagious, that can cause a wide spectrum of diseases ranging from asymptomatic illness or mild infections to severe and deadly illness, depending on the causative pathogen, environmental factors and factors host. The purpose of this study was to apply the K-Means method to classify ARI diseases and to obtain accurate and fast accuracy in classifying symptoms of ARI using the K-Means method. The method used is data mining techniques using the K-Means algorithm. This process resulted in 3 clusters, namely cluster C1 (Regular ISPA) with 81 members, cluster C2 (moderate ISPA) with 103 members, and cluster C3 (Heavy ISPA) with 66 members. It can be seen that the largest number of ARI patients are patients with mild ARI symptoms. Based on the results of the percentage analysis for each cluster, the first cluster has a percentage of 35% of data, the second cluster is 45% of data and the third cluster is 20% of data. Testing using the DBI (Davies Bouldin Index) validation obtained values for each cluster. Testing cluster 1 produces DBI value -0.244, cluster 2 DBI value -0.250, cluster 3 DBI value -0.239. Because the DBI value of cluster 3 is smaller, the cluster can be called optimal.
Social Perception Network Analysis of Educational Communities before and After the Covid-19 Based on Big Data

The purpose of this study is to understand the meaning by utilizing and analyzing big data on the educational community before and after the era of Covid-19, and to suggest the research direction of the future educational community. The keyword ‘Education + Community’ was used to compare big data before February 19, 2020 and after February 19, 2020, when confirmed cases with Covid-19 began to be reported in Republic of Korea. Semantic network analysis was performed from the collected data to the final data that had undergone a refinement process. The big data used in this study consisted of data before February 19, 5,280 data (1,866 KB) and 1314 data (849 KB) after February 19, searched with the keyword ‘educational community’. The analyzed data is a total of 6,594 cases (2715 KB). This study is meaningful in comparing the relationship between keywords related to the educational community in big data before and after the outbreak of Covid-19.Based on the results of this study, practical welfare alternatives and policy alternatives for the future educational community were suggested. © 2021
A Study on the Teaching Strength of International Young Chinese Teachers from the Porter Diamond Model

In recent years, as Chinese has spread to the world, the development of Chinese international education has shown a good trend. Teachers' teaching strength as comprehensive ability literacy, is essential for improving the quality of young international Chinese teachers. From the perspective of the Porter Diamond Model, analyzing the teaching strength of young international Chinese teachers from the four key elements: analysis of factor conditions analysis of demand conditions organizational structure and opportunities. Finding that there are three defects in the teaching process of young international Chinese teachers: lack of teaching motivation, Lack of ability in teaching research and application of results, and lack of innovation in teaching. It is believed that the teaching strength of young international Chinese teachers needs to be improved from the combination of teacher learning and reflection teaching, the combination of knowledge-action and curriculum reform, and the combination of teacher training and scientific evaluation.
Facial Expression Recognition using Convolutional Neural Network and k-Nearest Neighbors

The importance of facial expression recognition in different applications. To do such task the traditional feature extraction is used which involves in complex processing. Previously various deep neural networks have been used for this task, as well it can be replaced by some improved methods. So, in this paper we have proposed a system for face recognition which uses the convolutional neural network (CNN) and KNN along with the detection of the edges of image. The proposed work flows in two steps in the first the normalization of the facial expression in the image is done, secondly the convolution is done for the extraction of the edges in images. After this the maximum pooling method is used for the dimensionality reduction. At the end the classification of the facial expression is done and the Softmax classifier is used for this classification and the face expression is recognized. The facial expression recognition experiment is done on the Fer-2013 dataset. The results obtained form the proposed approach gets a face recognition rate up to 92.45% for the used dataset. The given method works with lesser number of iterations for the recognition and the system provides approx 1.5 times fast execution as compared to the SDSRN algorithm.
Implementation and Evaluation of Using Virtual Laboratory Media to Learning Geometry in Universitas Terbuka and Universitas PGRI Semarang

The current condition of the virtual laboratory is developing so rapidly, one indicator is the number of Mathematics students both State and Private Universities in Central Java who are looking for references related to practical geometry courses via online between lectures, this raises concern as a lecturer in adding value to lectures, which are adapted to the 21st century learning era today by creating virtual laboratories based on Virtual Reality, research methods using the ADDIE R & D model (Analysis, Design, Develop, Implementation and Evaluation) after the product is finished, the next step is implementing and marketing the product in state university&private university in the region of Central Java and its surroundings, this is because the science faculty virtual lab product has not been developed much in Indonesia, another thing that makes the appeal of this virtual lab product is that it is able to display virtual and augmented reality which can increase motivation and learning outcomes. Student, based on the validation of media experts and material experts on the virtual geometry lab product, it scores 89,57 and 70,84 meaning that the virtual geometry lab product is very suitable for use, then more than 90% of lecturers and students at the Open University are very happy to use it
COVID-19에 따른 비대면 수업이 청소년의 건강관련체력 및 균형감각에 미치는 영향

PURPOSE: This study aimed to examine the effects of non-face-to-face learning on health-related physical fitness and balance in adolescents according to the coronavirus disease 2019 (COVID-19).METHODS: Twenty-nine middle-school students (14 girls and 15 boys) were enrolled. We measured the students’ health-related physical fitness (body composition, muscle strength, muscle endurance, flexibility, and cardiac endurance) and balance (static and dynamic) before and after 12 weeks of non-face-to-face learning without any exercise intervention. Cardiac endurance was measured using the Harvard step test.RESULTS: Body fat, muscle strength (hip flexion, hip extension, knee flexion, knee extension), and Y-balance test exhibited significant differences before and after non-face-to-face learning (p<.05). Body fat, muscle strength (hip flexion, hip extension), and Y-Balance test exhibited significant differences in the female group (p<.05). Hip extension muscle strength exhibited a significant difference in the male group (p<.05). Analysis of covariance showed that muscle strength (hip extension and knee extension) and Harvard step of the female group were significantly decreased compared to the male group (p<.05).CONCLUSIONS: Non-face-to-face classes according to COVID-19 had a negative effect on health-related physical fitness and balance in adolescents. Particularly, the muscle strength and cardiac endurance of female adolescents were lower than those of male adolescents.
Web Content Extraction Based on Tag-Row-Block Web Mining

Information retrieval and Web mining are closely related to the content of Web pages. Due to the rapid development of Web technology, some previous automatic Web content extraction methods are no longer well suited to the current situation. Therefore, this paper proposes a universal content extraction method (CETRB) based on Tag-Row-Block, which is suitable for the current environment. The CETRB method, which combines the visual features and functional features of HTML tags with the row-block distribution function, further improves the precision, recall, and extraction efficiency of the existing Web content extraction methods, and solves the problems of manual threshold setting and universality of multi-source information. Our empirical study on different types of real-world Web pages demonstrates that the method we proposed has great extraction effect and high efficiency for single-content and multi-content pages, English and Chinese pages. It also supports the extraction of multimedia information, and the display effect is consistent with the original semantics, which can provide a comfortable reading experience. At the same time, we conducted the same experiments using the current popular Chinese extraction method Cx-Extractor and the English extraction method Readability. The conclusion is that our proposal outperforms them in terms of precision and recall, and is superior to the Readability method in terms of extraction efficiency. At the same time, it has great advantages in terms of universality and user reading experience. Keywords:Content extraction, information retrieval, Web data mining, knowledge-based Systems, Web Content. Cite this Article: T. Velumani. Web Content Extraction Based on Tag-Row-Block Web Mining. Journal of Web Engineering & Technology. 2020; 7(2): 18–31p.
APLIKASI PENGELOLAAN TRANSAKSI RESERVASI PADA HOTEL MANGKUTO PAYAKUMBUH DENGAN TEKNOLOGI WAP

The development of database technology cannot be separated from the development of software and hardware, one of the popular software development applications is WAP. where the latest programming language WAP is designed to be able to take advantage of the facilities available in Windows and is software that is commonly used to create programs that are quite simple but have a lot of scope that can be done. The use of the WAP programming language in the use of databases is a technological advance in the development of databases and other applications that can directly relate to computers. In handling large data, the WAP program is very effective compared to manual processing systems that are carried out or with programs that are accessed via a mobile phone. By using WAP this activity is intended to create a hotel database program with a server system that is used to monitor all administrative activities.
LibGuides: Online Learning Resources: Interactive Activities

The resources on this guide were compiled by the Online Learning Resources subcommittee of the Campbell University Faculty Senate.
A DESCRIPTIVE ANALYSIS ON THE STUDENTS’ ABILITY IN READING COMPREHENSION TOWARD DESCRIPTIVE TEXT IN SMK NEGERI 1 HILISERANGKAI IN 2020/2021

Reading comprehension is highly expected to be mastered by the students, according to the curriculum and every teacher’s expectation. However, to teach well, the students’ ability must be recognized well to synchronize the appropriate approach with the students’ level. Such recognition was rarely investigated in many schools. Considering this situation which happened in SMK Negeri 1 Hiliserangkai particularly in class X-OTKP in 2020/2021, the descriptive qualitative research was conducted to find out: 1) the students’ ability level in reading comprehension on descriptive text and; 2) the factors that affecting the students’ ability. The result showed that the students’ ability level in Reading Comprehension on Descriptive Text was an Adequate level, while the factors that affecting the ability were the frequency of giving the reading material, text types, method of teaching and learning and classroom management.
Convolutional Neural Network Using for Multi-Sensor 3D Object Detection

The purpose of this article is to detect 3D objects inside the independent vehicle with great accuracy. The method proposed a Multi-View 3D System (MV3D) framework which encodes the sparse 3d-point cloud with a compact multi-view image, using LIDAR satellite image and RGB pictures as inputs, and predicts 3D boundary boxes. The network comprises two sub-networks: one for creating 3D artifacts and one for multi-visual fusion functionality. Propose an autonomous 3D object tracking approach to manipulate sparse and dense knowledge about romanticizing and geometry in stereo images. The Stereo R-CNN strategy applies Faster R-CNNs to stereo inputs such that objects are simultaneously identified and linked in conservative and liberal images. Such charts were then combined and fed into a 3D proposal generator to generate accurate 3D proposals for vehicles. In the second step, the refining network extended the features of the proposal regions further and carried through the classification, regression of a 3D package box, and guidance estimates, to predict vehicle location and heading in 3D area and add additional branches after the stereo region Proposal Network (RPN).
ANALISIS PROBLEMATIKA PENGGUNAAN MEDIA GOOGLE CLASSROOM PADA PEMBELAJARAN MENULIS KARYA ILMIAH DI KELAS XI SMK SWASTA MARISI MEDAN

This study is expected to describe the types of problems/difficulties experienced by students when learning to write scientific papers is carried out using Google Classroom media. This study uses a descriptive quantitative approach because it wants to describe the results of the data that has been collected, namely the problems of using Google Classroom media in learning to write scientific papers. The sample in this study was 64 students of class XI SMK Marisi Medan majoring in Office Governance Automation and Institutional Financial Accounting. As a result, students have difficulty understanding the material because learning is only done using Google Classroom media, besides that students also have difficulty using Google Classroom media because they are using this media for the first time. There are two factors that cause difficulties for these students, namely internal factors such as students lack of interest in participating in learning because they feel bored, and external factors such as lack of guidance and support from parents. The most dominant problem that occurs is the unavailability of quotas and students feel they have no interest in participating in learning because they do not understand the learning material presented.
The Effect of Picture-Cued Task towards Students’ Motivation in Learning Writing

This study intended to find out the effect of Picture-Cued Task towards Students’ Motivation in Learning Writing at SMPN 3 Lingsar in the academic year 2018/2019. The population of the second grade of SMPN 3 Lingsar was 120 students and the researchers took VIII-B class as an Experimental group and VIII-D as a Control group. The Experimental group was treated by Picture-Cued Task and the Control group was treated by Mind Mapping. The instruments that were used to collect the data were tests and questionnaires. The data was analyzed by using Quantitative research and the way researchers analyzed the data was by; scoring, percentile meanings, and impacts. The Quantitative Data showed that the students were able to arrange their grammar and vocabularies well when making short sentences through Picture-Cued Task. Those students were enthusiastically joined the class even though they were wondering what to do with pictures. In Quantitative Data, the researchers found; Mean = 26,07, Median = 25, Mode = 20 and Standard Deviation = 6,434. The t-test score was 6,392 and the t-table was 1,67 in significance level 0,05 with the degree of freedom 54, therefore, the score of the t-test is higher than the t-table. Based on the data finding and discussion, it can be concluded that the use of Picture-Cued Task has a positive effect to motivate students in learning writing.
iChain: Peer-To-Peer Machine Learning Powered by Blockchain Technology

iChain is an application which was created to help meet the growing demand of machine learning. It allows users to pay those with powerful machines to run machine learning tasks for them, bypassing the need for a significant investment in a powerful computer to run it themselves. This is similar to services like a render farm. Our application functions using the Ethereum blockchain which ensures security and decentralization, as well as providing a platform for payment transactions. This article will discuss the background on machine learning and blockchain, the application, how it works, how the data moves through it, and how to use it. We hope our application will enable many without the funds to build or buy a powerful computer to experiment with and utilize complex machine learning tasks.
Identifikasi Karakteristik Anak Berkebutuhan Khusus Menggunakan Metode Case Based Reasoning

Children with special needs are children who have different characteristics and limitations in ability. This child with special needs is called Tunagrahita. Developmental impairment is classified into three categories namely mild, moderate and severe. This study aims to help the process of identifying the characteristics of mental retardation experienced by children. This study uses the Case Based Reasoning (CBR) method to identify children with special needs using the data of the mentally disabled children in SLBN 1 Linggo Sari Baganti. Similarity results were 51.92% for moderate developmental impairment, 17.5% for mild developmental impairment and 8% for severe developmental impairment. Calculations are performed using Visual Basic Net 2010
Sosialisasi Pemanfaatan Pembangkit Listrik Tenaga Surya (PLTS) Di Desa Tawa Kabupaten Halmahera Selatan

One of the methods used for the provision of electricity used en masse is the Photovoltaic Solar Energy system (SESF) or better known as Photovoltaic Solar Power Plant. Tawa Village which is one of the remote villages in South Halmehera Regency has not been reachable by electricity sources from PLN. As one of the villages affected by the 7.2 richter scale earthquake in July 2019, Tawa Village relies solely on Photovoltaic Power Plant for its village lighting. With limited power that is the capacity of solar panels 50 Wp, plts can only serve the needs of electricity at night and during the day there is no supply of electricity. This form of socialization is direct socialization where direct socialization is direct communication in the form of face-to-face communication between the two parties, namely communicators and communion. In this socialization who acts as a communicator is the father of M.Yunus Hi. Abbas, ST.,MT lecturer of Elector Engineering Study Program, Faculty of Engineering, Khairun University and his communion are all citizens of Tawa village. socialization activities utilization of Solar Power Plants (PLTS) in Tawa Village, it is expected that the public can understand the utilization of Solar Power Plants properly and know the stages of solar panel maintenance so as to produce solar energy sources that will be channeled into electricity that can serve household needs such as lighting lamps, televisions, radios, fans and other household needs
Wireless health monitoring and hospital accessing system

The COVID-19 epidemiological situation and death counts are breaking daily records. New cases are reporting everywhere and hence a situation of examining health of an affected emerges. But most of the people (especially elders) are afraid of being affected if they are approaching a health centre (or hospitals) and so back up with the decision. In addition to this, those who are suffering with severe respiratory issues are to be monitored continuously. In this project, a prototype of wireless health monitoring system capable of sending information related to the health status of the patient is developed. The project can be divided into two stages of data acquisition & processing, and Communication stages. Data acquisition & processing stage consists of sensors and microcontroller. Sensors monitor temperature, BP, SPO2 etc of the patient. The output of sensors are converted to digital form and processed by the microcontroller. The details are viewed by the patient on the display and at the same time by the software user who is linked with the microcontroller WiFi. Critical value of the measured data can be set. When they exceeds threshold, it will alert the whole system. Once abnormalities are detected, the system transmits the information to the hospital database.
Restricted Translation of Historical Dutch Text

This article proposes an experimental approach to the diachronic translation of document sources written in historical variants of the Dutch language. It argues that, in order to make textual sources more accessible to read for modern audiences, it is possible to alter grammatical aspects of the text while preserving the lexical aspects of the historical language variant. Because of this restricted translation, this approach is less time consuming compared to a total translation. The article also describes a method for producing such texts, illustrated with examples taken from the sixteenth-century correspondence of William of Orange.