Reviewerly/exHarmony huggingface dataset:
PRACTICAL GUIDELINES FOR TEACHERS ON THE USE OF THE INTERNET IN THE SCHOOL

The best of all possible worlds would be for computers and the Internet to become part, and probably only a small part, of a thriving academy of motivated learners whose time in cyberspace is significantly exceeded by time spent reading, visiting interesting places and people, having fascinating conversations, helping their peers, developing their physical and artistic talents, and enjoying life
Prestasi Akademik Mahasiswa Program Studi Kesehatan Masyarakat Dilihat Dari Kecerdasan Emosional Dan Efikasi Diri

Background of Study : the progress of modern society can be achieved by the presence of educational institutions as an effort to educate the nation's life. The ongoing education process has a standardization of values achieved by students through the teaching and learning process. The quality of students can be seen from the academic achievements they have achieved. The flow of globalization with various challenges, the ability to control one's own emotions is a very important to be yourself, in addition to the role of self-efficacy, in the end with high emotional intelligence and self-efficacy will contribute to the learning process of students and improve their academic achievement .Methods : the study design was quantitative with a population of all students of Surya Global Health Science College of Public Health, a sample of 133 students Data from three scales; Emotional Intelligence, Self-Efficacy, and Academic Achievement will be analyzed using statistical techniques, namely simple regression analysis and multiple regression. Results : There was a significant influence between emotional intelligence and self-efficacy on the academic achievement of students of Surya Global Health Science College of Public Health, which Freg = 3,922 and p = 0,022 (p < 0,05). Conclusion : Emotional intelligence and self-efficacy have a positive effect on academic achievement.Keywords : emotional intelligence, self-efficacy, academic achievement.Korespondensi : Evi NI’matuzzakiyah, STIKES Surya Global Yogyakarta Blado Potorono Banguntapan, Bantul, DIY, Indonesia, 081568417511, evizakiyahnazhif@gmail.com
Prestasi Belajar IPS Siswa: Pengaruh Lingkungan Sekolah dan Motivasi Belajar

This study aims to partially determine the effect of the school environment and learning motivation on social science learning achievement and to determine the simultaneous influence of the school environment and learning motivation on social science learning achievement. The type of research is causal. The population of this research was all of the students of grade VIII SMP Negeri 2 Singaraja in the academic year 2019/2020. The sampling technique used was proportional random sampling and the number of samples were 77 students. The data collection techniques used were questionnaires, documentation and observation and data analysis of this research is multiple linear regression analysis. The research results show that (1) the school environment has a significant effect on student achievement with a sig value of 0.016 &lt; 0.05, (2) learning motivation has a significant effect on student achievement with a sig value of 0.015 &lt; 0.05, (3) the school environment and learning motivation simultaneously significant effect on student achievement with sig. obtained is 0.015 &lt;0.05.
PERANAN DANA BANTUAN OPERASIONAL SEKOLAH (BOS) DALAM UPAYA MENUNTASKAN WAJIB BELAJAR 9 TAHUN DI MTS NW TEROS TAHUN ANGGARAN 2019/2020

This study discusses the role of School Operational Assistance (BOS) funds in an effort to complete the 9-year compulsory education at MTs NW Teros. BOS is a government program which is basically to provide funding for non-personnel operating costs for basic education units as implementing compulsory education programs. Funds from the central government are distributed through local governments to equivalent SD/MI and SMP/MTs through school accounts to assist school operational activities in the context of completing the nine-year compulsory education of basic education. While the Nine-Year Compulsory Education Program is a development of the Six-Year Compulsory Education Program initiated by the Ministry of National Education (now the Ministry of National Education) in 1984. Through Presidential Instruction No. 1 of 1994, the Six-Year Compulsory Education Program was upgraded to the Nine-Year Compulsory Education Program in primary and junior secondary education. The type of research used in this study is a qualitative approach with a descriptive type of research. Research that uses data mining in the form of words, sentences, and pictures. The various data were obtained from respondents who were then given an interpretation so that the findings were obtained. It can be concluded that the implementation of the School Operational Assistance fund in an effort to complete the 9-year compulsory education at MTS NW Teros has been carried out effectively. The school has specifically formed a BOS Management Team to manage the use of BOS funds. So that from year to year the implementation of BOS at MTS NW Teros has been well patterned and implemented according to the planning and implementation.
IDEAS OF THE PRACTICAL APPLYING OF THE PROJECT EDUCATION IN IT CLASSES FOR 10 GRADE STUDENTS

Applying the innovative model in school classes reveals its various opportunities for optimizing the educational process. It showed that this interesting for the students education, lead to increasing their cognitive activity. On the other hand their motivation for learning was increased and this evoked higher results in the educational process.Education thorough projects is an organizational form of education, in the center of which is working on a project. These are projects based on effective education, planning, practical implementation of the task, responsibilities of students.Innovative elements in the project workProject approach- this is one of the main channels for modern technologies to enter education- it provides the ability for authentic and various evaluation of the students’ accomplishments.- it gives the teacher a new role in the educational process- online teaching in a modern virtual classroomThe project work is a long process, but it can be reduced to four basic stages:First stage: project preparationSecond stage: Work on implementing the projectThird stage: Presentation of the projectFourth stage: ControlThe method of projects expands out of the frame of the traditional school education. Education through projects is one of the modern ways of accomplishing a new type of pedagogical interaction.During the process of work with the students it became clear that using innovative methods of education in teaching IT in 10 grade, increases the students’ interest for the subject.
Effect of Interests Read, Study Motivation and Environment Friend of Achievement Students Ebaya Fe Unj

This study was conducted to determine the effect of significant interest in reading, learning motivation and peer environment on student learning achievement UNJ FE. The method of determining location using purposive research areas Economics the Faculty State University of Jakarta. Determination of the number of respondents in this study using a population of as many as 130 people. Data collection method was questionnaire Analysis of the data used is descriptive analysis and statistical analysis using the regression line multiple linear regression, analysis of variance regression, F test, and t-test. The results showed that resource together (simultaneously) Interests Read, Motivation and Environment Peer significant effect on learning achievement. Partially Interest Read partially positive and not significant, Motivation partially positive and not significant, Environment Peer partially positive influence and significance. Students should FE UNJ increase reading interest, motivation to learn and reproduce Environment Peer relationships that affect the performance of members of the class.
EVALUASI KEBIJAKAN DANA BANTUAN OPERASIONAL SEKOLAH DALAM MENINGKATKAN MUTU PENDIDIKAN DI SMA NEGERI 3 KOTA SUNGAI PENUH

School Operational Grant (BOS) Program is aimed to relieve the burden of community in paying education. This grant policy must be monitored to ensure that the target is achieved. Malang City has been an education city to implement BOS. To ascertain that the error in the use of BOS is minimized, evaluation must be conducted over School Operational Grant (BOS) Funding Program. Research type is descriptive with qualitative approach. Data collection techniques include observation and interview. Result of research indicates that the implementation of BOS funding policy at city or school levels, including at SMAN 3 of Sungai Penuh City, has been favorable and based on the procedure as stated in technical guide of BOS funding. The participation of community is needed to provide the input or even the surveillance over BOS funding program
Enhancing mobile shopping experience using QR code: an exploratory study / Suzana Zambri …[et al.]

Quick Response (QR) codes are increasingly visible in various fields. With advances in QR code, mobile shopping is becoming one of the most important channels in the retail industries. The aims of this research are to discover the willingness of the Malaysian university community to use QR codes in the buying process using smartphones as well as their perception about the functionality and usefulness of QR Codes. Through review of literature and responses from interviews, the article firstly clarified the characteristics and applicability of the QR Codes, especially in retail. This research applied design thinking methodology that provides a solutionbased approach to solving problems. It is found that the use of smartphones and QR codes for mobile shopping has become increasingly popular and has enhanced users’ shopping experience. Users can easily purchase products by engaging in mobile shopping. Review function can be added to this mobile application which enables users to write their shopping experience for business owners to improve their services. This is a pioneering work for Malaysian literature, as there are limited studies that have explored issues concerning the use of QR codes in the mobile buying process.
Discrimination of earthquakes and quarry blasts in Mecsek Mountain region (Hungary) and its vicinity by using a linear discrimination function&amp;#160;

&amp;lt;p&amp;gt;Contamination of earthquake catalogues with anthropogenic events largely complicates seismotectonic interpretation. It is especially true for relatively low seismicity areas, such as Hungary. In the present study, we analyze the characteristics of earthquakes and blasts of quarries occurred between 2015 and 2020 in the Mecsek Mountains in southern Hungary within 120 km to MORH and KOVH stations.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The objective of this study was to determine the linear discrimination line between the two classes earthquakes and explosions. We investigated the effectiveness of P/S amplitude ratios using filtered waveforms at different ranges of frequencies. We applied waveform cross-correlation to build correlation matrices at both stations and performed hierarchical cluster analysis to identify event clusters. Because most of the quarry blasts were carried out by ripple-fire technology, we computed spectrograms and examined the spectral ratio between low and high frequencies and the steepness of spectra.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Classes of earthquakes and quarry blasts have separated well from each other by combining the amplitude ratio, waveform similarity and the different spectral methods. We compare the discrimination parameters and capability of both stations to identify the explosions in analyzed quarries that were misclassified as earthquakes in the Hungarian National Bulletins.&amp;lt;/p&amp;gt;
Impulse and Trilateral Noise Elimination Technique for Natural Pictures

Natural pictures are frequently contaminated by some noises. Noise can ascend and also gained through picture capture, communication, etc. Noise elimination is a significant chore in processing. Overall the outcome of the sound eradication has a strapping impact on the standard of the processing practices. Many methods are well recognized for noise removal from natural pictures. The character of noise elimination problem is liable used for the character of noise debasing of the picture. The arena of noise elimination abundant direct and indirect filtering techniques are available. Direct filters don’t have the capacity to efficiently remove impulse noises, as they are prone to a propensity to distortion the boundaries of a picture. The second filter i.e. indirect filter is an appropriate instinct noise. There are several indirect filters grounded on traditional and ambiguous procedures have arisen in the previous few years. For instance, utmost traditional filters eliminate instantaneously distortion of boundaries, while ambiguous filters have the capability to associate boundary conservancy and flattening. Related to further indirect methods, trilateral filters are capable of representing knowledge in an efficient manner. This paper presents experiments and results for different methods and compares the which is the best-suited technique for processing.
Implementasi Algoritma Backpropagation Dalam Memprediksi Harga Bahan Pangan

Foodstuffs are raw materials in the form of agricultural, vegetable, and animal products used by the food processing industry to produce a food product. Prices of foodstuffs sometimes rise and fall erratically. The purpose of this research is to predict the price of foodstuffs by using the Backpropagation algorithm. The data used in this study is food price data from 2016 to 2019, originating from the Pusat Informasi Harga Pangan Statistics (PIHPS). This research uses the neural network method of the Backpropagation algorithm, which uses several architectural models, and the results of this test will yield the best accuracy value.
Метод распознавания объектов по данным лазерного сканирования на основе спектральной теории графов

The paper proposes a method for recognition of objects from laser scanning data. This data can be obtained by scanning objects with a special LIDAR device (LIght Detection And Ranging) in the form of a cloud of points, which is an unordered set of points with coordinates of three-dimensional space. Solving many computer vision and recognition problems using laser scan data is often more efficient than using two-dimensional data for several reasons. Firstly, the third coor-dinate increases the informativeness and promotes a more detailed description of the object. Sec-ondly, the quality of the point cloud does not depend on the weather conditions under which the laser scan was performed. In the third place, a point cloud allows you to keep the scale of objects. Modern LIDAR devices provide data high detail with a lot of points. However, the use of all points for object recognition can lead to large computational costs. In addition, the data may contain noise and outliers, leading to errors in recognition. To improve the quality of recognition, data is pre-compressed using an attribute description in the form of descriptors invariant to some trans-formations. Thus, on the one hand, the dependence on noise and emissions is reduced, on the other hand, computational costs are reduced. At present, for solving problems of object recognition,approaches are increasingly being used that are related to the representation of the structures of the objects being analyzed in the form of graphs. The proposed approach is based on the use of object structures, which are described by parts of a point cloud. Recognition is performed by com-paring the complex spectral decompositions graphs characterizing structure of objects. Methods are proposed for determining the weight coefficients of a structure graph based on the spatial characteristics of the sets of points. It also proposes a method of preliminary selection of objects that differ significantly in structure using eigenvalues in the spectral decompositions of graphs. The effectiveness of the proposed approach is demonstrated by the results of experiments.
An Efficient Soft Computing Approach for Text Identification using Artificial Intelligence Model

This paper presents an enhanced system in the field of text identification using Soft computing techniques. The model designed in this work analyzes the blogs or input text and classifies the personality into five major categories; Neuroticism, Extraversion, Openness, Conscientiousness and Agreeableness. The blog or text is first passed through POS tagger then a feature vector matrix is generated according to the attributes of the personality chart. Each column of FVM is calculated in its domain that improves the final result of personality identification. The result of the proposed model is improvement over similar work by other researchers [1, 2, 3].
A Case Study on Smart Factory Extensibility for Small and Medium Enterprises

Smart factories can be defined as intelligent factories that produce products through IoT-based data. In order to build and operate a smart factory, various new technologies such as CPS, IoT, Big Data, and AI are to be introduced and utilized, while the implementation of a MES system that accurately and quickly collects equipment data and production performance is as important as those new technologies. First of all, it is very essential to build a smart factory appropriate to the current status of the company. In this study, what are the essential prerequisite factors for successfully implementing a smart factory was investigated. A case study has been carried out to illustrate the effect of implementing ERP and MES, and to examine the extensibilities into a smart factory. ERP and MES as an integrated manufacturing information system do not imply a smart factory, however, it has been confirmed that ERP and MES are necessary conditions among many factors for developing into a smart factory. Therefore, the stepwise implementation of intelligent MES through the expansion of MES function was suggested. An intelligent MES that is capable of making various decisions has been investigated as a prototyping system by applying data mining techniques and big data analysis. In the end, in order for small and medium enterprises to implement a low-cost, high-efficiency smart factory, the level and goal of the smart factory must be clearly defined, and the transition to ERP and MES-based intelligent factories could be a potential alternative.
Organization of Competence-Based Students' Individual Work of Pedagogical Specialties

In the modern world of higher educational institutions, the problem of organizing students' independent work is one of the most urgent. The student must have not only knowledge, but also make decisions independently, strive for success in professional activities, apply a creative approach to any business, and raise the intellectual level. That is why the independent work presupposes the development of students' skills to clearly formulate their own thoughts, argue their judgments, think logically, and know the numerous flow of information. The implementation of these skills is possible when organizing a competence-based students' individual work , which affects the professional sphere of future specialists And the construction of a competence-oriented SIW in the form of a model that includes motivational, performance, reflexive, control stages is based on: a) the inherent value of the student; b) the conditionality of the professional orientation of the content of education by future teaching activities; c) c) orientation of professional education towards the individual experience of the student; d) the advanced nature of professional training; e) correlation of the technology of professional training with the patterns of professional becoming of the teacher's personality.
Practices, Challenges and Prospects of Competency Based Instruction in Some Selected Primary Schools in Case of Sidama Zone.

In this study qualitative research design particularly phenomenological approach was employed.Because the purpose of this study was to investigate practices, challenges and prospects of competency based instruction in primary schools.One primary school selected from the Sidama zone through criterion based Sampling technique and 10 teachers were selected through available sampling technique from sample selected schools.Semi-structured interview was held with participants.Results revealed that, competency based teaching approaches are not well implemented in primary schools in research study area.The main reason for this is there was knowledge gape with primary school teachers to implement competency based teaching instructions.Thus, it is concluded that more efforts need to be devoted in the development of teachers understanding of competency based teaching approaches.
The Brief Review on Artificial Neural Network

The signals or data processing mathematical models which are on the basis of biological neurons are the artificial neural networks usually referred to as the neural networks. A neural network consists of the groups of inter connected neuron that provide actually exhilarating alternative for composite problems resolving & another applications that might have a significant part in present world’s computer sciences sector so that investigators of various disciplines design artificial neural networks that can solve pattern recognition, prediction, optimization problems. Artificial neural networks are central to attempting to model artificial nervous system data processing capabilities which have an essential part in the field of cognitive science. This paper focuses on the characteristics of the neural artificial networks analyzed through the analysis and assessment of the latest research works. The research and literature survey method is used as a basis for comparisons such as neuronal functionality, thinking skills, calculation style, processing elements, speed, connections, power, data storage, communication media selection, signal transduction and defect tolerance. A recent study found that artificial neural network acted like the forum for neurons in field of cognitive science.