Reviewerly/exHarmony huggingface dataset:
Investigating the Drivers to Covert Social Media Members to Customers

Social commerce resources are abundant, providing rich information and guiding purchases, making it easier for consumers to obtain goods and gradually getting used to this consumption and purchase mode.This study takes Facebook and instagram social fan groups as examples to explore the impact of social characteristics and social participation on guided purchase behavior.This study classified fans of Facebook and instagram communities (category A, category B, category C).A total of 212 valid samples were collected and statistically analyzed using ANOVA and Scheffe.The Scheffe values of each item were less than 0.005 and ANOVA The results are remarkable.The results show that there are differences in social characteristics (uniqueness, similarity, informativeness) and social participation and behaviors (social participation, parasocial interaction (PSI)) among members of the guidance/purchase subgroup.The Influence of social characteristics and social participation on guided purchase behavior.
ANDROID "STRINGWAN" APPLICATION AS HIGH SCHOOL TEACHING MATERIALS

High school biology concepts require teaching materials that are in accordance with technological developments during a pandemic, especially the concept of tissue structure and function in animals. Teaching materials that are easy to understand, easy to use, interesting, and fun can make it easier for students during the learning process. Android application-based teaching materials are an alternative that is suitable for use in online learning to make it easier for students to understand lessons independently. This study aims to describe the suitability, feasibility, legibility, and response of students to the "Stringwan" teaching material based on the android application for class XI high school students. This study uses a 4D model adapted from Thiagarajan which is carried out until the development stage. The suitability and feasibility test was carried out by experts consisting of two lecturers of the Biology Education Study Program and a partner teacher. The readability test and student responses were carried out by nine students of class XI MIPA 2 SMAN 4 Banjarmasin. The results showed that the suitability of the teaching materials "Stringwan" obtained a score of 4.44 with the "very appropriate" category, the value of the feasibility test results obtained a score of 4.52 in the "very feasible" category, the value of the readability test results obtained a score of 4.36 with the category " very good" and the value of the student response test results obtained a score of 4.22 with the "very positive" category. The score indicates that the teaching materials are suitable for use in the learning process.
From Metaheuristics to Automatic Programming

Metaheuristics are well known approaches to solve efficiently hard optimization problems. Furthermore, the automatic generation of computer programs using metaheuristics as search strategy becomes an active research area. Actually, this interest has been initially promoted by the genetic programming paradigm. Afterward, metaheuristic algorithms, especially population-based algorithms have been extended in order to produce adequate programs to a given problem. This paper introduces the intersection between metaheuristics and automatic programming algorithms. The most popular metaheuristics was described in this paper and the outline of the components and the steps that a researcher needs to follow in order to develop an automatic programming mechanism. To the best of our knowledge, we are writing the first investigation about automatic programming in general. We gathered both old and new contributions in this area trying to form a starting point for other researchers. Our objective is to stimulate the interest of the research community and keeping them updated on automatic programming using metaheuristics approaches and hoping to motivate the appearance of innovated contributions.
PROBLEMS OF SOCIAL INCLUSION OF CHILDREN WITH DISABILITIES

The article discusses theoretical approaches to solving the problem of social inclusion of children with disabilities and identifies possible options for its practical solution. It also analyzes the issues of adaptation of children with disabilities in society by demonstrating their abilities based on the inclusion of a certain approach.
PEMETAAN JALUR EVAKUASI GEMPA DAN TSUNAMI DI KAWASAN PANTAI KONDANG MERAK, MALANG

The strategic geographic location of Indonesia comes with tremendous seismic and tsunami thread. This catastrophe has been recorded to be happened in a certain period of time in the past, as Indonesia is located in the meeting point of three earth’s big plateau, Indo-Australia, Eurasia, and Pacific. Java, especially in the southern part of the island, is also greatly threatened by this danger. Kondang Merak is one of the beaches in East Java, located in South Malang, that is projected to be a tourism destination, especially when the Southern Java Road has been all connected. Nevertheless, despite the hardship caused by the undeveloped condition and unfinished road, many tourists still make effort to go there and find the view worth their hardships. The lack of facility found in the site makes the presence of evacuation route mapping urgent, as the catastrophe may happen anytime. This Community Service program takes place using observation and interview methods during the Covid-19 pandemic, which mostly is done by relying on communication technology, with topographic mapping using satellite imaging, which produces three evacuation recommendation points with safe contour heights. In this research, we used digital satellite imaging to map the contour of Kondang Merak, which resulted in three evacuation node recommendations. It can focus on the details of habitable buildings, to resist and give safety to its occupant, from seismic force and tsunami in the future.
PERANCANGAN MEDIA PROMOSI PT. SINAR LAUT MANDIRI BERBASIS WEB

The development of information media in the field of computerization, especially multimedia, is increasing globally, where many parties are involved either directly or indirectly in the process of delivering and receiving information. Information is provided through promotional media containing product descriptions, product prices, and company contacts. The product description contains various products, sizes, and product uses and benefits. The purpose of this study was to develop promotional media at PT. Sinar Laut Mandiri by designing a catalog with more complete product information using the Adobe Photoshop application. This promotional media is expected to make it easier for customers to see the goods that will be sold by the company. The result of this research is the creation of a Web Browser-Based Promotional Media Application Using Adobe Photoshop
PERANCANGAN SISTEM INFORMASI JASA LAUNDRY PADA SB LAUNDRY

Currently, the development of information technology has progressed very rapidly. These technological developments cannot be separated from the role of humans who are constantly improving and looking for innovations so that technology can be used to help humans work. Information technology has been widely used in various organizations, both large and small organizations. SB Laundry is one of the businesses in laundry services, located at Jl. KH. Moh. Mansyur, Gg Alkap Market No. 5i. Based on the analysis carried out, the system that runs in business activities still uses a manual system, in this case, the laundry receipt transaction is recorded in the laundry receipt by hand, which allows for data errors in recording laundry service transactions activities. To overcome the weaknesses and threats contained in the laundry service information system, a strategy was chosen by making improvements and developing a computerized system. The new system is expected to improve the quality of laundry service performance and increase the number of customers who come to SB Laundry. By providing training to prospective system users, and providing hardware and software following the analysis of device requirements, so that the system can run as expected.
Software emulation of MIDI arrangers

MIDI arrangers are the type of keyboard instruments, used for song arrangement and playing live.It's done by using the so-called automatic accompaniment, controlled by the user in real time.With auto-accompaniment play mode, some song-creation operations are moved to the MIDI arrangers' algorithms.Therefore the user can focus on manually played part, while not giving up the following of other instruments.So far, the idea of MIDI arrangers has been used only for hardware devices and its software emulation.Therefore, the use of MIDI arranger features in any MIDI-device systems became the subject of this paper.For this purpose, an application which emulates the operation of MIDI arranger's algorithms has been designed.
Repository Information System for the Final Assignment of the South Aceh Polytechnic

A "final assignment repository" is a medium or place for storing final assignments and theses in the form of PDF files (Portable Document Format). At the end of each semester, students must receive a final assignment course for the D3 level. In each university, the final assignment system is often different, but most still use the manual method. When a student's thesis trial and final assignment are printed, it is used as a book as proof that they have completed the thesis or final assignment. For the collection of thesis books, students are required to collect them in the library; often, other students look for study references and assignments in the reading room. For that reason, the author's problem is trying to design a website-based final project repository application using the Laravel framework. This application was built to store student final assignments. In this case, students can easily save the final project file. In this application, the reading room admin plays the role of manager of the final assignment file if students who have submitted it validate that the student has collected it. Majoring students can use this application to access applications that can be used as learning tools or references for their final project. A computerized system is expected to provide convenience and produce applications as expected.
Peculiarities of Formation of Professional Motivation of Students of Pedagogical Specialties in the Educational Process at Higher Educational Institution

The article presents the results of an experimental study of the features of the formation of professional motivation of students of the pedagogical profession in the process of studying at a university. The former professional motivation of students of pedagogical specialties forms a competent, mobile, responsible future schoolteacher with a stable system of spiritual and moral values. The formation of professional motivation of students of pedagogical specialties is a psychological and pedagogical process that requires methods of diagnosis, analysis and development. The purpose of our research is to develop a model and program for the formation of professional motivation of students of pedagogical specialties and to determine the psychological and pedagogical conditions for the formation of professional motivation. The pedagogical conditions of students of pedagogical specialties are theoretically determined: ex-ternal (activation of activity) and internal (awareness of their own abilities, motivation for professional maturation, internal professional identity of the student; creative activity, readiness for professional self-improvement). The practical significance of the study lies in the fact that the results of the study can be used to diagnose and correct the professional motivation of students of pedagogical specialties, motivational training programs during training sessions. In order to form the professional motivation of students of pedagogical specialties, a model and a program for the formation of professional motivation in the form of a formative experiment have been developed and introduced into the educational process. Improving the efficiency of educational and professional activities of students of the experimental group, the formation of professional motivation of students, allows us to talk about one of the most important mechanisms for improving the professional development of students of pedagogical specialties.
Science and Engineering Education as an Anchor in the Midst of a Changing World: The Case of Covid-19

The discourse on science and engineering education focuses on ways of preparing students, as future employees, and global citizens. While this discourse deals with the purposes and characteristics of engineering education, it tends to neglect&amp;nbsp;the students&amp;rsquo; perspectives.&#x0D; &#x0D; The purpose of this study was to provide insights into the perspectives of undergraduate science and engineering students with respect to six factors, during the Covid-19 pandemic: end-of-semester exams, financial situation, social life, extension of study duration, the future of the labor market, and how the world will look. A comprehensive questionnaire was distributed to all undergraduate students in a research science and engineering university in two consecutive academic years. Descriptive statistics and content analysis were applied.&#x0D; &#x0D; Our findings show that science and engineering students were mostly concerned about their end-of-semester exams. Their social life was the only factor that changed between the two periods in terms of the percentage of students who were concerned with it. As for the other factors, the percentage of students who were concerned about them remained comparatively the same in both academic years. The findings highlight the confidence students had during the pandemic, and demonstrate the resilience of science and engineering, especially in times of volatility.
Judgemental Analysis of Data and Prediction Using ANN

Abstract Everyday lot of posts are created in social media and several users make comments on the post. The comments can be positive or negative or moderate. Just by watching the post one cannot estimate whether the post is positive or not. Manual analysis of each comment of the post related document using Vader analysis takes a lot of time (approximately 5 to 6 hours- depending on number of comments). Also every post comments contains lots of redundant data which should be removed to get the exact sentiment of the post. We need to analyze the sentiment of the post within fraction of seconds by eliminating the redundant data. By using Machine Learning ANN Algorithms and applying them to social media post related datasets which contains a large number of comments. Initially dataset to be imported and at first stage data pre-processing is to be performed so as to remove the useless redundant information or data. The Algorithm uses ANN Data Dictionary which contains list of positive words and negative words to classify each comment in the dataset into positive or negative or moderate category. Along with this it will also gives the information about the sentiment of the post by visualizing the total positive, negative and moderate comments. Apart from this we are calculating the positive words and negative words number in each comment and also analyzing the sentiment of the post based on the keyword analysis. Graph and charts can be generated using Chart tool available in Visual Studio.
Extremal Optimization Applied to the Minimum Order Frequency Assignment Problem

Extremal Optimization (EO) is a metaheuristic used to solve complex combinatorial optimization problems. However, the behavior of this algorithm has not been studied for various interesting problems. Such as, it is the case of the Minimum Order Frequency Assignment Problem (MO-FAP). Specifically, this problem seeks to minimize the number of frequencies assigned to a group of transceiver, without violating any of the problems constraints. In particular, the aim of this study was to use EO to solve the MO-FAP. Furthermore, it was found that EO was able to find the best reported value for most instances of the dataset used for experimentation. Additionally, it was possible to identify how the EO Tau hyperparameter reported better results for much higher values than those reported in the literature. Finally, the difficulty of defining and configuring a fitness function for each element of the solution was evidenced. Therefore, this can affect the effectiveness of the algorithm according to the particular characteristics of the dataset to be solved. Consequently, this opens an opportunity to develop improvements in the form of defining the contribution of each element of the solution to the objective function.
PERANCANGAN ILUSTRASI RUMAH BERTEMA “NURSE” UNTUK KARAKTER OCTALAND IP DI OCTAGON STUDIO BANDUNG

Learning media using technology is currently very influential in the world of education. With the development of technology, education is easy to obtain. Technology media in the form of 3D illustrations, makes it easier for children aged 4-6 years to understand the lessons. Octaland is an exploratory IP aimed primarily at children who want to get to know the types of work that exist with an interesting illustrative approach. The making illustrations of Nadia’s house is made using objects that are correlated with the medical world to make it easier for children to get to know Nadia as a nurse. The process of making this house illustration with the theme of a nurse is made using a simple and easy-to-recognize illustration. The selection of shapes that tend to be oval and curved lines are deliberately used because the target market is children and also represents Nadia’s gentle character.Keyword: 3D illustrations, Octaland IP characters
EKSPERIMENTASI MODEL PEMBELAJARAN PROJECT BASED LEARNING TERHADAP KETERAMPILAN MENULIS TEKS BERITA MAHASISWA PRODI PENDIDIKAN BAHASA INGGRIS

This type of research is pre-experimental research. This research was conducted in three stages, namely pre-test, treatment and post-test. The subjects in this study were 237 students of the UMSU English Study Program. The techniques used to collect the data above include test techniques, observation, and an assessment rubric for writing news texts. The results of the study show that using the Project Based Learning model can improve the learning outcomes of writing news texts for UMSU students. This is evident from the increased student learning outcomes. The research carried out obtained the following results: (1) Student learning outcomes at the pretest stage were in the low category with an average score of 57.36 and at the post test stage they were in the medium category with an average value of 75.92 (3) The results of the analysis shows that there are changes that occur in student attitudes during the learning process in accordance with the results of observations, namely the application of learning using the Project Based Learning model in news text writing skills has an influence on student learning outcomes. Based on this description, it can be concluded that the Project Based Learning increases the skills of writing news texts for students of the UMSU English education study program.
Low Level Design: An Online Judge

Abstract: Online judges are systems designed for the reliable evaluation of algorithm source code submitted by users, which is next compiled and tested in a homogeneous environment. Online judges are becoming popular in various applications. Thus, we would like to review the state of the art for these systems. We classify them according to their principal objectives into systems supporting organization of competitive programming contests, enhancing education and recruitment processes, facilitating the solving of data mining challenges, online compilers and development platforms integrated as components of other custom systems. Moreover, we introduce a formal definition of an online judge system and summarize the common evaluation methodology supported by such systems. We will create an online judge for low level design, that can test multiple classes in one time and also check the code quality and we will also add visual representation of output for multiple input. We will check security of all classes. Main aim of the project is that student / user can test his/her low level design code quality, and the compiler will report errors/bugs if code has any
Math Function Recognition with Fine-Tuning Pre-Trained Models

A Mathematical Function Recognition (MFR) is an important research direction for efficient downstream math tasks such as information retrieval, knowledge extraction, and question answering. The aim of this task is to identify and classify mathematical function into a predefined set of function. However, the lack of annotated data is the bottleneck in the development of an MFR automated model. We begin this paper by describing our approach to creating a labelled dataset for MFR. Then, to identify five categories of mathematical functions, we fine-tuned a set of common pre-trained models: BERT base-cased, BERT baseuncased, DistilBERT-cased, and DistilBERT-uncased. As a result, our contributions in this paper include: (1) an annotated MFR dataset that future researchers can use; and (2) SOTA results obtained by finetuning pre-trained models for the MFR task. Our experiments demonstrate that the proposed approach achieved a high-quality recognition, with an F1 score of 96.80% on a held-out test set provided by DistilBERT-cased model.
Use of Barnes-Hut Algorithm to Attack COVID-19 Virus

The epidemy COVID-19 (khnown as Corona) is very dangerous. China, the epicenter of the epidemy, is the most infected country tell 07/04/2020 with 81 740 infected, and 3 331 death. To limit the exponential propagation of the virus we have to respect some consigns. Keep safe distance (1m or 3feet) is the most relevant consign in order to surround the spread of the epidemy. Our approach is used to detect possible contamination of persons. Barnes-Hut algorithm is based on quad, a data structure which detects certain proximity relative to persons and groups of persons. Alert is raised when the proximity between parsons is not respected. The algorithm can be used in decision making (e.g close frontiers). Experiments on real world dataset shows the efficiency of the algorithm.
Tuning Dari Speech Classification Employing Deep Neural Networks

Recently, many researchers have focused on building and improving speech recognition systems to facilitate and enhance human-computer interaction. Today, Automatic Speech Recognition (ASR) system has become an important and common tool from games to translation systems, robots, and so on. However, there is still a need for research on speech recognition systems for low-resource languages. This article deals with the recognition of a separate word for Dari language, using Mel-frequency cepstral coefficients (MFCCs) feature extraction method and three different deep neural networks including Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Multilayer Perceptron (MLP), and two hybrid models of CNN and RNN. We evaluate our models on our built-in isolated Dari words corpus that consists of 1000 utterances for 20 short Dari terms. This study obtained the impressive result of 98.365% average accuracy.