Reviewerly/exHarmony huggingface dataset:
THE IMPACT OF FEATURE SELECTION ON THE PROBABILISTIC MODEL ON ARRHYTHMIA DIAGNOSIS

Arrhythmia is a type of cardiac illness identified by an irregular heart rhythm that can be either too rapid or too slow. An electrocardiograph method is required to diagnose arrhythmia. Electrocardiogram, ECG, is the result of this Electrocardiograph process. The ECG is then utilized as a diagnostic tool for arrhythmia. Because the ECG data is so extensive, an adequate processing procedure is required. Understanding the ECG data can be done in various ways, one of which is classification. Naïve Bayes is a classification technique that can handle enormous amounts of data. ECG data has a lot of characteristics, which makes classification more difficult. Feature selection can be used to eliminate non-essential features from a dataset. This research aimed to determine the feature selection’s impact on the Naïve Bayes classification. It was proven by increased accuracy by 4%, precision by 0.13, recall by 0.13, and f-measure by 0.14. The computation time was 0.03 seconds faster. The highest performance was obtained by classification with 80 features. The accuracy was 93%, precision and recall were 0.45, f-measure was 0.42, and computation time was 0.10 seconds.
The Utilization of Video-Based Learning in Teaching English for Non-English Major Students

The aim of this study is to investigate students from non-major English department perspectives toward the use of Video-Based Learning in an online English language process. This study was conducted at Politeknik Negeri Ujung Pandang using a convergent-parallel design, a combination of quantitative and qualitative methods. Eighty students of the first semester from the accounting department who were involved in a video-based learning process became the participants of this study. The data was gathered through the use of a questionnaire that included closed-ended and open-ended questions. The data from the closed-ended questions were quantitatively analyzed using descriptive statistics in SPSS. Additionally, a narrative method was used to analyze the open-ended questions. The results of this study indicate that the non-English major students have a positive perspective toward video-based learning utilization because it increases their motivation to learn and makes it easier for them to comprehend the material.&#x0D; Keywords: Video-Based Learning, Non-English Major Students’ Perspectives, Online Class
Aplikasi Pelayanan Pada Kantor Kelurahan (Studi Kasus Kantor Kelurahan Minasa Upa Kota Makassar)

The Minasa Upa Village Office is a community service facility fulfilling population administration and licensing. Currently, the service applied is still carried out in a conventional way, which requires residents to come and queue at the village office to receive services. It is necessary to come to the village office to obtain information on the requirements for making a letter, to find out whether the submitted letter has been completed. Based on these problems, a system is needed to help services at the Minasa Upa Village Office be more practical and efficient. This study implemented an E-Government system that utilizes information technology in service. The e-Government implemented is in the form of an Android-based application designed using the Java programming language and firebase as a database service. The application design method used is the System Development Life Cycle (SDLC) with a waterfall approach. The system testing technique used is black box testing which consists of two stages, namely alpha and beta testing. The results indicate that the application is built according to the expected needs. This is proven through the tests that have been carried out. In addition, based on the questionnaire results, users stated that the interface of the application was easy to understand, with an average score of 86%.
Social Media and Political Participation among Youth in South-Eastern Nigeria: A Case Study of 2015 and 2019 General Elections

The study examines the role of social media and political participation among youth in southeastern Nigeria during the 2015–2019 general elections. Both primary and secondary data were used. The instruments used for data collection were a validated questionnaire and guided interview. The data were analyzed using content analysis. Against this backdrop the Public Sphere and Political Campaign Theory was adopted as a framework of analysis. The findings of the study show that the social media have a very crucial role to play in the promotion of accountability in any democratic society. It was also discovered that for twenty years now, the democratic journey has remained tortuous because of the reckless pursuits of power by the political class. It was concluded that the Nigerian social media need to overcome some of the above mentioned challenges that limit their performance as a credible institution entrusted with the role of serving as the watchdog of the society without flouting the media ethical standards and squander imperatives for objectivity. The study recommends a need to address good governance that would position fundamental governance and create an enabling environment for self-participation. Electorates should critically analyze the situation and make inquiries before voting for a candidate who will not bring about growth and development in the country.
Implementasi E-CRM Untuk Meningkatkan Penjualan Produk Di Toko Matrix Celluler Berbasis Web

Abstract : Matrix Celluler who is on the road Prof. H.M. Yamin No.16, Kisaran Naga, Kec. Kisaran Eastern, Asahan Regency, North Sumatera namely store that process transactions in cash and credit with sales products namely Handphone Samsung, Vivo, Oppo, dan Nokia. Besides Handphone, Matrix Celluler also provide Accessories in the form of Charger, Antigores, Handsfree, and Softcase. This research was conducted with the aim of designing a new system, namely Customer Relationship Management that is attractive and effective for sales and customer service according to the needs of the store and customers, Helping Cellular Matrix give trust to customers by implementing cash, credit and COD (Cash) transaction features. On Delivery) in the system and provide solutions to increase sales revenue at Matrix Celluler stores such as implementing coin and voucher features to customers. The research method use qualitative methods with a qualitative descriptive design format with data collection techniques, namely interview, observation and library research. This system is designed using several software namely Sublime Text 3, XAMPP, PHP, dan MySQL. Keywords : Increase Sales; CRM, Design; and Website. Abstrak : Matrix Celluler yang berada di jalan Prof. H.M. Yamin No.16, Kisaran Naga, Kec. Kisaran Timur, Kabupaten Asahan, Sumatera Utara yakni sebuah toko yang melakukan proses transaksi secara cash dan kredit dengan produk penjualan yaitu Handphone Samsung, Vivo, Oppo, dan Nokia. Selain Handphone, Matrix Celluler juga menyediakan Accessories berupa Charger, Antigores, Handsfree, dan Softcase. Penelitian ini dilakukan dengan tujuan untuk merancang suatu sistem yang baru yaitu Customer Relationship Management yang menarik dan efektif untuk penjualan dan pelayanan pelanggan sesuai dengan kebutuhan pihak toko dan pelanggan, Membantu Matrix Celluler memberikan kepercayaan kepada pelanggan dengan menerapkan fitur transaksi cash, kredit dan COD (Cash On Delivery) di sistem dan memberikan solusi dalam meningkatkan hasil pendapatan penjualan di toko Matrix Celluler seperti menerapkan fitur koin dan voucher kepada pelanggan. Metode penelitian menggunakan metode kualitatif dengan format desain deskriptif kualitatif dengan teknik pengumpulan data yaitu wawancara, observasi dan penelitian kepustakaan. Sistem ini di rancang dengan menggunakan beberapa software yaitu Sublime Text 3, XAMPP, PHP, dan MySQL. Kata Kunci : Meningkatkan Penjualan; CRM; Perancangan; Website.
INFLUENCE OF DISASTER KNOWLEDGE RELATIONSHIP AND ENVIRONMENTAL LEADERSHIP IN OVERCOMING FLOODS WITH FLOOD DISASTER PREPAREDNESS BEHAVIOR

The objective of this study is to describe and analyze the relationship between disaster knowledge and environmental leadership in dealing with floods and with flood disaster preparedness behavior in \with a total of 10,688 people. The sample was taken using a multistage proportional random sampling technique, namely choosing a village that was used as the sampling area and then choosing an area that was very prone to flooding, so that the Awio Village was selected with a sample of 30 respondents. The questionnaire consists of three instruments, namely the flood preparedness behavior instrument (30 questions), the disaster knowledge instrument (26 questions) and the leadership instrument (29 questions). Rating scale with five answer choices that have the lowest value of 1 and the highest value of 5, namely for positive statements and for negative statements otherwise. The results showed the relationship between knowledge and leadership simultaneously (F=280,802,sig=0,000, p0,05). The partial relationship of disaster knowledge contributes individually and significantly to disaster preparedness behavior (ꞵ=0.097, sig=0.028, p0.05) and leadership also contributes individually and significantly to disaster preparedness behavior (ꞵ=0.954, sig=0.000, p0.05). The results showed that the level of community knowledge was still low, because they did not know about the causes of the flood disaster (60% of respondents), the level of leadership was still low, it was seen that disaster preparation planning had never been carried out (50% of respondents), and the behavioral dimension was still relatively low with the percentage behavior does not care about the preservation of nature (40% of respondents). The study recommends collective leadership so that each individual will complement each other according to their strengths, so that it will increase the effectiveness of each phase of disaster management that has been planned.
A Pragmatic Analysis of Impoliteness Strategies in an Iraqi T.V. Sports Show

The study examined impolite acts in an Iraqi T.V. sports talk show interview to illustrate the functions and categories of impoliteness strategies using a descriptive qualitative method. The data were in the form of utterances, while the context of the data was the dialogues spoken by the host and the guest in the interview. The data source was a short 8-minute video clip of the interview on YouTube that has gone viral among Iraqi sports fans. In this research, an inductive approach was used in analyzing the data. From a theoretical perspective, this research is expected to shed light on impoliteness strategies in Iraqi T.V. sports shows. From an applied perspective, the results of this study are hoped to help people be more aware of the importance of being cautious in choosing certain politeness strategies to maintain good communication with others and gain their goals through that communication
AN ANALYSIS OF ENGLISH TEACHING STRATEGIES THROUGH ONLINE CLASSES DURING PANDEMIC COVID-19

Teaching strategy is a plan, method or series of activities designed for the following purposes achieve certain learning goals. teaching strategy designed to achieve specific goals. Which means from making a strategy is to achieve a goal. In this study the researcher want to see how the teacher's strategy in implementing the learning process, especially in managing the online class at UPT SMA Negeri 4 Parepare. This research focused on the teachers’ strategies used in teaching English through online classes during the COVID-19 Pandemic. This study aimed at answering the following research questions (1) What are the obstacle of strategies in English teaching through online classes during COVID-19 pandemic at UPT SMA Negeri 4 Parepare? (2) How is the effectiveness of teachers’ teaching strategy of teaching English during COVID-19 pandemic at UPT SMA Negeri 4 Parepare? This type of research was field research with qualitative approach. Data collection techniques in this research are In-depth interview, observation checklis and documentation. The result of study showed that (1) Monitor the student , Student Motivation (2) The strategy of English teachers in teaching English in online classes has not been said to be effective because they only provide understanding of the material, after that give assignments.
An Empirical Comparison of Steganography and Steganalysis Solutions

Steganography is a discipline of hiding secret data in the media that is the carrier, in such a way that outsiders do not know of its presence. The most common way to hide information is to replace the least significant bits of the image pixels with bits of the embedded message. In this work, digital images of different formats were used as media to determine the effect of the image format on the final value of pixels in the altered image. Available steganography solutions that allow embedding of files that are images or text files were used to hide information in images. The purpose of carrying out tests was to determine the different ways of embedding data in the images and the effect of the size of the hidden payload on the amount of change in the pixels intensities.
Analysis of infrastructure standards of early children education unit in South Sulawesi Province

Youth (age 6) is a vital period and affects all stages of human events. This period is often called the brilliant period because during this period the child’s potential for understanding increases faster than in the following period. Young people need authority to guide them so that their latent potential can develop in an ideal way. In the framework of implementing this training for young people, educational offices and support facilities are needed. The necessary framework for each teaching unit should have a combined field facility, research room, initiative room, education room, organization room, library room, sports stage, loving place, the place have fun, to help with the learning system. There are still many individuals who do not fully understand the required framework of the child training unit to meet the children’s needs and do not have the slightest idea of how to supervise. This can be considered dependent on the results of a review of the framework guidelines that have been carried out by regional exploratory surveys and urban youth.
Perceived organizational support as mediator between digital social media influence on technological innovation

Aim: In this research, we examine the role that knowledge workers' perceptions of organizational support play as a moderator between the impact of their social media use and their companies' willingness to invest in new forms of technology.Methodology: The data was analyzed using survey responses from 415 knowledge workers in Indian IT companies.Findings: These results show that digital learning benefits employees' perceptions of their organizations' support for their professional development.The study's results also established a link between social media, e-learning, and technological advancement.Implications/Novel Contribution: The findings of this study have far-reaching implications for knowledge workers and management in India, who may increase the perceived organizational support as a mediator between the influence of digital social media on the technological innovation of knowledge workers working in IT companies in India.
Implementasi Algoritma K-Means Clustering Dalam Penilaian Kedisiplinan Siswa

Education has a very important role for students, not just potential but noble character in the form of discipline, therefore it is necessary to group each school based on student discipline. Implementing a clustering system with the K-means method which is used to classify and determine the value of student discipline which produces a clustering output of student discipline that is beneficial for the school to prevent students from misbehaving early on. Analysis of data needs used in this study in the form of primary data obtained from a questionnaire given to students. The attributes used are presence, neatness and behavior. Student discipline assessment can be carried out using the k-means clustering method. This study applies the K-Means clustering algorithm method using Microsoft Excel 2013 and Orange which performs the data mining process. The results of the research implementation of the k-means clustering algorithm in student disciplines are divided into three clusters. From a sample of 133 students, 41 students were included in cluster one (C1), then 33 students were included in the second cluster (C2), and 59 students were included in cluster three (C3). The results of grouping the level of student discipline using the k-means method can be used as a reference or assessment of the discipline of each student.
UJI VALIDITAS APLIKASI SI-BOOK MENGGUNAKAN SPSS DENGAN KOMBINASI METODE R-TABEL DAN COHEN’S KAPPA

Validity is a measure to show the level of validity or validity of an instrument. An instrument is said to be valid if it is able to measure what the user wants and is able to obtain the right data from the variables studied. Validity is the accuracy or accuracy of an instrument to measure what is to be measured. The researcher used SPSS with the R-Table method and Cohen's Kappa for testing the validity of the software. In testing data collection instruments, validity can be divided into 2, namely item validity and factor validity. The measurement of factor validity correlates the item scores with the total item scores. In validity testing, 30 people will collect sample data, then the data will be processed using SPSS by applying the R-Table method, while Cohen's Kappa is used to measure the degree of agreement of two raters in classifying objects into groups / groups and Measuring agreement on alternative new methods with existing methods
On Producing Shortest Cost-Optimal Plans

Cost-optimal planning is at the heart of planning research, with many existing planners that produce provably optimal solutions. While some applications pose additional restrictions, such as producing shortest (in the number of actions) among the cost-optimal plans, standard cost-optimal planning does not provide such a guarantee. We discuss two possible approaches to produce provably the shortest among the cost-optimal plans, one corresponding to an instantiation of cost-algebraic A∗, the other based on a cost transformation. We formally prove that the new cost-transformation method indeed produces the shortest among the cost-optimal plans and empirically compare the performance of the approaches in different configurations.
Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability Estimation

Multiclass probability estimation is the problem of estimating conditional probabilities of a data point belonging to a class given its covariate information. It has broad applications in statistical analysis and data science. Recently a class of weighted Support Vector Machines (wSVMs) has been developed to estimate class probabilities through ensemble learning for K-class problems (Wu et al., 2010; Wang et al., 2019), where K is the number of classes. The estimators are robust and achieve high accuracy for probability estimation, but their learning is implemented through pairwise coupling, which demands polynomial time in K. In this paper, we propose two new learning schemes, the baseline learning and the One-vs-All (OVA) learning, to further improve wSVMs in terms of computational efficiency and estimation accuracy. In particular, the baseline learning has optimal computational complexity in the sense that it is linear in K. Though not the most efficient in computation, the OVA is found to have the best estimation accuracy among all the procedures under comparison. The resulting estimators are distribution-free and shown to be consistent. We further conduct extensive numerical experiments to demonstrate their finite sample performance.
STUDI TERHADAP PESERTA DIDIK YANG MENGALAMI KEJENUHAN DALAM MENGIKUTI PEMBELAJARAN DARING

This study aims to determine the study of students who experience boredom in participating in online learning for class X State Senior High School 1 Meranti. the sample in this study was class X students totaling 3 students, the sample was taken based on the needs in the study, namely students who experienced boredom when learning online, the research method used was descriptive in the form of a qualitative approach while data collection techniques used interview and documentation techniques, Activities in data analysis, namely, data reduction, data presentation, and conclusions or verification. The results show the characteristics of students who experience boredom in online learning: 1) the JAA subject has the characteristics that appear to him, namely lethargy, and not enthusiastic, 2) the FA subject has visible characteristics, namely procrastinating on doing assignments, 3) the NSL subject has characteristics that It seems that you often feel bored. Factors causing saturation: 1) JAA subjects are family factors, school environment, community environment, 2) FA Subjects are physiological factors, family factors, school environmental factors, 3) NSL subjects are physiological factors, school environmental factors, community environmental factors. The impact of boredom: 1) JAA subjects decreased academic achievement, lost motivation to learn, lacked interaction, 2) FA subjects decreased academic achievement, lost motivation to learn, lacked interaction, 3) NSL subjects lacked interaction with teachers and friends
PRESTASI MAHASISWA DI NILAI DARI KONDISI EKONOMI KELUARGA DAN KOMPETENSI DOSEN

This study aims to examine the effect of family economic conditions and lecturer competencies on student achievement in the economics and business faculty of Prof. University. Dr. Hazairin, SH. This research was conducted by the Faculty of Economics and Business, Prof. University. Dr. Hazairin, SH. The number of samples in this study were 93 respondents. The results showed that 24.1% of the variables of family economic conditions and the competence of lecturers were able to explain the variables of student learning achievement. Based on the results of the simultaneous test, the variables of family economic conditions and the competence of lecturers affect student learning achievement, while based on the partial test, the variables of family economic conditions affect student learning achievement and lecturer competencies affect student learning achievement.
Multiple Types of AI and Their Performance in Video Games

"In this article, we present a comparative study of Artificial Intelligence training methods, in the context of a racing video game. The algorithms Proximal Policy Policy Optimization (PPO), Generative Adversarial Imitation Learning (GAIL) and Behavioral Cloning (BC), present in the Machine Learning Agents (ML-Agents) toolkit have been used in several scenarios. We measured their learning capability and performance in terms of speed, correct level traversal, number of training steps required and we explored ways to improve their performance. These algorithms prove to be suitable for racing games and the toolkit is highly accessible within the ML-Agents toolkit. Keywords and phrases: racing game, PPO, GAIL, behavioral cloning, AI in games. "