Reviewerly/exHarmony huggingface dataset:
Performance Instability During Working Hours: A Preliminary Study on Time Spent on Social Media Site

The successful launching of the social media platforms in different sphere of everyday activities has grown exponentially over the past decades and more advancement are expected in the next decades. The launching has made communication very easy and accessible especially the use of mobile communication gadgets. With the availability of internet facilities on the go, mobile commutations and pictorial communications are on the verge of explosion. To this end, organizational control is needed in the workplace to enhance performance and productivity stability. This study investigates the time spent by employees on different social media platforms during working hours.  Descriptive statistics is applied to analyze the outcomes of the survey. The analysis indicates that on a daily basis, the participants sampled spent average of thirty minutes. This implies that the participants spent on the average of two hours thirty minutes per week during working hours to surf the internet.  In what follows, the finding showed that thirty minute per day during working hours is not enough evidence to conclude that instability in performance and productivity is due to time spent on social media only.  On the other hand, time spent maybe during lunch time or in between service delivery space. The study revealed that the time spent on social media or site is hedonically and utilitarian. The outcomes of this study, therefore recommend that performance instability is not due to time spent on the internet only rather the management should investigate other factors such as working conditions, welfare, training and retraining, e.t.c.
Research on Problems and Strategies of "Learning" from the Perspective of Physical Education Curriculum

Using literature review, questionnaire survey, mathematical statistics and other research methods, combined with the previous research results of the research team, systematically sort out the problems of "learning" in the "learning, training, competition, and use" physical education curriculum, and how to solve the problems. The strategic research of the Chinese Academy of Sciences aims to promote the scientificization of "learning" in the teaching of physical education courses, thereby improving the quality and efficiency of physical education courses.
Meningkatkan Kemampuan Bahasa Inggris Siswa Kelas X dengan Menggunakan Running Dictation melalui Materi Agama MAN 3 Kota Jambi

The existence of wisdom to integrate religious sciences and general sciences, then this scientific work seeks to integrate between the science of English education in the world of teaching with the science of religion. Basically whatever science is studied should be able to be integrated with the science of religion. In this journal, researchers explain how an English teaching strategy can be a means of teaching religious science to students of class X MAN 3 Jambi City
Optimization of Spatial Visualization Module in SOLAP for Indonesian Agricultural Commodities

Indonesia produces various agricultural commodities every year. To manage agricultural data, the Ministry of Agriculture of Indonesia provides a web-based application open to the public. The SOLAP for Indonesian Agricultural Commodities system has been successfully developed in the previous study for visualization and analysis of agricultural data. Still, the visualization module on the SOLAP takes a long time to display the map due to big size GeoJSON file. This study aims to simplify polygon data that represent administrative boundaries in Indonesia. Simplification on the polygon was done using two algorithms namely Douglas-Peucker and Visvalingam-Whyatt. This study showed that simplified polygon has successfully reduced access time of the SOLAP visualization module from 3.29 minutes to less than 15 seconds. The simplified polygon of the Douglas-Pecker algorithm has better shape and fewer coordinates. Hence, the results of Douglas-Pecker's algorithm simplification are implemented in SOLAP for Indonesian Agricultural Commodities.
PENERAPAN METODE COLLABORATIVE LEARNING BERBANTUAN MEDIA GAMBAR UNTUK MENINGKATKAN MOTIVASI BELAJAR BAHASA JEPANG

This type of research is classroom action research. This research was conducted on the grounds of improving the learning methods used by teachers. To improve students motivation to learn japanese in this study using 3 cycles. In each cycle have the applicatition of the same action. The result obtained in each cycle showed a positive increase in student motivation. The Final results obtained until the third cycle, each indicator increased between 5-10%. As in the indicator of being diligent in facing tasks, it increased by 5% from previous cycle. The indicator of interest in learning japanese also increased by 4% from previous cycle. And indicator of working with groups 2hen learning japanese increased 9% previously. Based onthe results obtained, it was decided that this study was terminated because the final result in cycle III had an average of 87,5%. This percentage value has fulfilled the requirements for the success indicator, namely 76%. So a study that focused on increasing students motivation to learn Japanese was decided to stop. Therefore, for the next research in addition to learning motivation, student learning outcomes should also be measured. Currently, classroom action research that has been carried out by researchers in using the collaborative larning method has succeeded in increasing students motivation to learn Japanese.
Peningkatan Keaktifan Belajar dalam Pembelajaran IPS melalui Penerapan Model Pembelajaran Guided Note Taking pada Peserta didik Kelas IV Sekolah Dasar Ngadipurwo Blora

Abstract. The objective of the reserach is to describe how to apply the Guided Note Taking (GNT) learning model that can improve learning activeness in social learning for fourth grade students of Ngadipuro Elementary School in Blora Regency. The type of research is Classroom Action Research conducted in two cycles. The subjects of the research consisted of fourth grade teachers and all students of fourth grade totaling 21 students. Data collection techniques used tests, interviews, observations, and documentation. Source triangulation techniques and data collection triangulation techniques used for data validity. Data analysis techniques used interactive analysis techniques with the stages are data reduction, presentation of research data, and drawing conclusions. As results, students' learning activeness increased in five indicators of the pre-action increasing in cycle I, and again increasing in cycle II. The five indicators of learning activeness in this study include paying attention and writing material, asking questions, expressing opinions or ideas, discussing classical problem solving, and presenting learning outcomes. Application of the GNT model can increase student learning outcomes marked by in classical completeness in pre-action by 61.90% increased in cycle 1 to 76.19%, and increased in cycle II to 85.71%. The conclusion of this research is the application of the GNT model can increase the learning activity of fourth grade students of Ngadipurwo Elementary School in social learning.
Zakat Classification with NaÃ¯ve Bayes Method in BAZNAS

The National Amil Zakat Agency (BAZNAS) of the Banjar Regency, is the regional Zakat Management Agency of the Banjar Regency. BAZNAS Banjar Regency distributes the required alms according to the target to mustahik that is under the criteria or following the provisions of the Shari'a. However, BAZNAS often experiences difficulties in determining mustahik (people who are entitled to receive zakat) due to limited distribution funds and excessive data on Fakir and miskin people who are the main priority. The existence of a system that can determine two groups of recipients of the Fakir and miskin zakat based on data from the underprivileged population can help the distribution of zakat to these 2 groups. In this case, using the Naive Bayes method is very suitable in the classification of the BAZNAS mustahik determination so that it can be used to determine the prospective recipient of zakat. Based on the results of tests conducted on the NaÃ¯ve Bayes classification with the Confusion Matrix calculation, the accuracy value reached 92.30%.
Making deeper insights part 2

Abstract In the previous chapter we looked at individual variables; however, a sample may involve more than one variable. Moreover, data analysis is usually concerned with the relationships among two or more variables. These relationships might involve the same (e.g. numeric versus numeric) or different (e.g. numeric versus categorical) types of variable. In either case, we need to understand how the values of one variable relate to and/or depend on those of the other. Just as with single-variable analyses, we use both descriptive statistics and graphical summaries to explore such relationships. This chapter focuses on associations between variables. An association is any relationship between two variables that makes them dependent, i.e. knowing the value of one variable gives us some information about the possible values of the second variable. The main goal of this chapter is to show how to use descriptive statistics and visualizations to explore associations among different kinds of variables.
Mathematical Modeling of Effect of Pumping Rate on Contaminant Transport in Riverbank Filtration System

Riverbank filtration (RBF) is a natural technology that is used for river water treatment. This research seeks to investigate the effect of pumping rate on the transport of colloids in RBF. However, this work considered Dissolved Organic Matter (DOM) as a nutrient for bacteria. The mathematical model consists of groundwater flow equation and colloids concentration equations. The equations were solved analytically using parameter expanding method and Eigen function expansion techniques. The results obtained are presented graphically and discussed. It was observed that increase in pumping rate value enhance both the hydraulic head and concentration of colloids which slightly reduces the quality of pumped water from RBF.&#x0D; Keywords: Riverbank filtration, analytical model, colloids, hydraulic head and pumping rat
DESIGN AND DEVELOPMENT OF TETOS APPLICATION FOR LOCATION DETECTION IN SUPPORTING DISASTER VICTIM SEARCHING BASED ON GLOBAL POSITIONING SYSTEM (GPS)

&lt;div&gt;&lt;p class="Els-history-head"&gt;Indonesia is a country with a high level of disasters where during 2005-2015 there were 11,648 hydrometeorological disasters and 3810 geological disasters. In terms of technology, Indonesia is using mobile devices with high growth according to data from the Ministry of Communication and Information. One of the ways to increase the use of mobile devices in assisting disaster management in Indonesia can be developed in the location-based discovery of disaster victims. The location in a mobile device uses a Global Positioning System (GPS) where the existing data is in the form of Latitude and Longitude data. The aim of this research is that the application is expected to assist in the discovery of disaster victims based on the last GPS location. This study focuses on developing a disaster victim search application based on the Android operating system. Development uses the Agile Model by using Black-box Testing and White-Box Testing techniques, where the type of testing uses Unit Testing, Integration Testing, and Acceptance Testing with qualitative data. The results of the research obtained an application in the form of a prototype where there are several corrective inputs obtained from Acceptance Testing. This study is then expected that the application can be applied in disaster management systems in Indonesia which of course can be supported by binding rules so that the data obtained can be utilized optimally.&lt;/p&gt;&lt;/div&gt;
EFFORTS TO IMPROVE LISTENING LEARNING ABILITY THROUGH AUDIO-VISUAL IN SEMESTER 4 STUDENTS FKIP UNA USING DVD (DIGITAL VIDEO DISC) ACADEMIC YEAR 2018/2019

The research aims to find out whether Through Audio-Visual using DVD (Digital Video Disc) Student learning outcomes in English Listening material can be improved. The subjects of this study were 4th semester students of the UNA FKIP 2018/2019 Academic Year with a total of 36 people. The method of this research is Class Action Research. From the data management, the average value obtained by students in the first cycle is 74.26. Of the 36 students, 26 students (76.47%) have finished learning while 7 students (23.53%) have not finished learning. Then in the second cycle there was an increase in the average value to 80. Of the 36 students, 34 students (94.11%) had experienced learning completeness, while 2 more students (05.89%) had not succeeded. Based on the increase in value starting from the initial test, cycle I and cycle II, it can be said that Through Audio-Visual using DVD (Digital Video Disc) can improve learning outcomes of English in 4th semester students of UNA FKIP Academic Year 2018/2019 in listening. The increase occurred after the lecturers made several efforts, including: (1) Application through Audio-Visual using DVD (Digital Video Disc), (2) lecturers make lesson plans before teaching so that teaching and learning activities can take place directed and programmed, (3) lecturers conduct evaluations after the implementation of learning to improve subsequent learning achievements. Thus it can be concluded that the application of Audio-Visual using a DVD (Digital Video Disc) can improve student learning outcomes. Keywords: Through Audio-Visual Using DVD (Digital Video Disc), Listening
PENGARUH PENERAPAN PEMBELAJARAN DARING DAN PEMBELAJARAN MODEL ARCS TERHADAP PENINGKATAN KARAKTER RELIGI SISWA KELAS 6 SDN KEMAYORAN 1 BANGKALAN

The purpose of this study was to determine the effect of online learning and learning ARCS (Attention, Relevance, Confidence, and Satisfaction) models on increasing the religious character of 6th grade students at SD Negeri Kemayoran 1 Bangkalan, implementing online learning (variable X1) and learning ARCS models as variables. independent (variable X2), as well as the student religious attitude variable as the dependent variable (variable Y), with measurement using a Likert scale 1-5. The population in this study were all grade 6 students at SD Negeri Kemayoran 1 Bangkalan, totaling 31 people, using multiple regression data analysis. The results showed that the resulting regression modeling was Y = -0.078 + 0.187 X1 + 0.828 X2, which means that the existence of online learning and ARCS Model Learning partially and simultaneously affects the religious attitudes of 6th grade students of SD Negeri Kemayoran 1 Bangkalan, the two variables The dominant effect on the religious attitudes of grade 6 students is the ARCS Learning Model.
Budaya Belajar Mahasiswa Pendidikan Akuntansi FKIP UMS Pada Kebijakan Work From Home Kasus Covid-19

The research objectives were to (1) describe the learning culture of students in the learning process before the Work From Home policy. (2) Describe the learning culture of students in the learning process after the Work From Home policy. (3) Describe the barriers to student learning culture in the learning process online in the Work From Home policy. The method used in this research is qualitative research with ethnographic design. Data collection through observation, interviews, and documentation. The results of this study indicate that there are two kinds of learning culture, namely the learning culture before and after the Work From Home policy which includes a continuous learning process and students' independent learning habits. The learning process that takes place there are differences in the learning process, which was originally carried out face-to-face in class, now after the Work From Home policy the learning process is carried out online or online. Students' independent learning habits include the habit of asking questions, reading material before learning is carried out, studying and repeating material, doing assignments, and recording material. Barriers to the online learning process include unstable internet connection, increased use of quotas, unsupportive devices for conducting online lectures, and delivery of difficult to understand material, and student learning independence.
A novel DNN tracking algorithm for structural system identification

In the field of structural health monitoring (SHM), cameras record videos and tracking methods can be applied to calculate the structural displacement. Commercial and unmanned aerial vehicle (UAV) cameras are promising non-contact sensors owning to their high availability and easy installation. However, effective tracking methods need to be developed. In this study, we firstly propose an end-to-end vision measuring framework with a novel deep neural network (DNN) tracker, named Siamese Single Decoder Network (SiamSDN). The system requires no target installation and uses cellphone cameras. For SiamSDN, the position and scale of bounding box are formulated through statistical parameter estimation. Unlike generative trackers, SiamSDN does not require manually extracted features or pre-defined motion areas. The tracking object is solely identified in the first frame. A shaking table test of a five-storey structure is carried out to demonstrate the efficiency. Besides, a UAV is used to simulate the field test. To minimize the error caused by the vibrations of UAV, digital video stabilization (DVS) is proposed to eliminate the drifts. Videos taken by both the commercial and UAV cameras are analyzed to calculate the displacements. Comparing our DNN tracker with feature point matching approach, SiamSDN improves the displacement measuring accuracy by 66.16% and 57.54%, respectively, and the frequency characteristics are obtained precisely.
Pengaruh Kompetensi Dosen dan Motivasi Mahasiswa terhadap Prestasi Mahasiswa dengan E-Learning sebagai Variabel Intervening ( Studi Kasus Pada Mahasiswa Prodi Akuntansi UNP Kediri)

AbstractThe purpose of this study is to determine the effect of competence and motivation on student achievement with e-learning methods as an intervening variable. This research is descriptive in nature, the population is accounting study program students who have done online lectures and numbered 27 students. Data collection techniques with questionnaires given directly to students. Data Analysis Techniques using Path Analysis.From the description of the hypothesis above it can be concluded that the competence of lecturers has an indirect effect on student achievement with e-learning as an intervening variable, while student motivation does not have a significant effect on student achievement with e-learning as an intervening variable.Keywords: lecturer competence, motivation, achievement, e-learningAbstrakTujuan dari penelitian ini adalah untuk mengetahui pengaruh kompetensi dan motivasi terhadap prestasi mahasiswa dengan metode e-learning sebagai variabel interveningnya. Penelitian ini bersifat diskriptif, populasinya adalah mahasiswa Prodi Akuntansi yang pernah melakukan perkuliahan secara online dan berjumlah 27 mahasiswa. Teknik pengumpulan data dengan kuisioner yang diberikan secara langsung ke mahasiswa. Teknik Analisa Data menggunakan Path AnalysisDari uraian hipotesis di atas dapat diperoleh kesimpulan bahwa kompetensi dosen berpengaruh secara tidak langsung terhadap prestasi mahasiswa dengan e-learning sebagai variabel intervening, sedangkan motivasi mahasiswa tidak memiliki pengaruh signifikan terhadap prestasi mahasiswa dengan e-learning sebagai variabel intervening.Kata Kunci: kompetensi dosen, motivasi, prestasi, e-learning
Efficacy of Internal Marketing Practice as a part of HRM in Logistic Firm” A Case Study of Leading Logistics Company.

Human Resource Management (HRM) is the function within an organization that focuses on the recruitment of, management of, and providing direction and guidance for the people who work in an organization. Employees are important clients, so don’t neglect them. In this respect, foresee corporate rebate programs, special offers, and even samples which will all contribute to increasing your personnel’s sense of belonging, all while allowing them to benefit from the fruit of their labour. In current scenario, every successful companies attach great importance to human resource management and internal marketing; because they are aware of the value of those activities and of strategic advantage they can bring to the organization. Enhancing the role of the employee within an organisation Internal Marketing (IM) is a new and emerging discipline that is practical in multiple companies. The purpose of this study is to see the impact of internal marketing on employee satisfaction. Data is collected through a on various parameters of employee satisfaction and internal marketing. Since Machine Learning (ML) is on the verge of seriously impacting workplace communications, therefore, a comparative analysis of various ML algorithms are done to predict the employee satisfaction with precision accuracy and recall. .Finally, the models are ranked using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). A case of well-known logistic firm, Om Logistics is considered to validate ML models and its accuracy.
LibGuides: It's a Doggy World: Training

Hi everyone, wow this experience of creating a LibGuide has been so interesting and rewarding to me. I am an avid animal lover, and it saddens me to know how many animals that people have brought into their lives and then discovered how much work one take
Email Spam Classification Tool Using Artificial Neural Network (ANN) With Logistic Activation Function

Abstract: This project is all about developing a tool that has the ability to detect spam emails using Artificial Neural Network (ANN) with Logistic Activation Function. This project implements spam detection using artificial neural network which helps to detect whether an email is spam or ham. Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. In artificial neural network, it helps to detect the input whether it is a spam or ham in this case to give the output with a range from 0 to 1. This project will be able to overcome the weaknesses and flaws in the existing tool or application by giving output which can be trusted and maintains confidentiality, integrity, and availability.
MNIST Handwritten Digits Recognition

In this paper, we present an innovative method for MNIST Handwritten digits Recognition employing a Convolutional neural network. Nowadays, it's become easier to coach a neural network due to the supply of the large amount of information and various Algorithmic innovations that are happening. Nowadays the quantity of computational power needed to coach a neural network has increased because of the provision of cloud-based services like google cloud platform which provides a resource to coach a Neural network on the cloud. In our system, we are going to implement a Convolutional neural network using Keras API. we used TensorFlow for training the neural network. we've developed this technique using Python programming language.
Scientific and Methodological Aspects of the Development of Mathematical Literacy of Students Based on International Research

This article represents the scientific and methodological basis of the international PISA survey to determine the mathematical literacy of students. The structure (model) of a special PISA test, aimed at assessing mathematical literacy, and the context of the PISA task are described in detail.