Reviewerly/exHarmony huggingface dataset:
A Study on the Effect of Digital Fabrication in Social Studies Education

One of the learning methods that is increasingly being practiced in primary and secondary education is inquiry-based learning. This is not just a class to teach knowledge, but to practice activities to search for and discern the significance and essence of things. In social studies education, various trials and errors are being conducted, such as learning local history through fieldwork, and new approaches suitable for inquiry-based learning are being sought. In this study, as a new approach to social studies education, we developed a self-learning program that enables teachers to create original 3D educational materials using digital fabrication technology. We conducted an experiment in which students who wished to become social studies teachers participated in the program, created 3D educational materials, and taught a class using the materials. As a result, all the subjects who took the self-learning program could create 3D educational materials and give classes using them. The subjects' opinions suggested that practicing classes using 3D educational materials is effective for teacher education. This contributes to STEAM education, which has been spreading recently in the field of education, and this case study can be seen as a novel model.
IMPLEMENTASI APLIKASI ANDROID UNTUK SISTEM PENDAFTARAN DAN ANTRIAN PADA POLI COVID RSUD DORIS SYLVANUS

Application Registration and Application of Queues at the Mobile-Based Covid Poly Hospital of Doris Sylvanus was built because service system offline while doing covid-19 test and vaccination at the Doris Sylvanus Hospital, it was found that there was a build-up of public queues so that it became less efficient for the queuing system and the information conveyed, so many people were less interested in conducting covid-19 test and vaccinations at the Covid Poly Hospital Doris Sylvanus.&#x0D; In this research, the software development method is used waterfall. In the program modeling, several charts are described, including Use Case Diagrams, Activity Diagrams, and Class Diagrams.The application and website creation phase of this study used Android Studio, Firebase, XML, Java, PHP, Javascript, CSS, and JSON. As for System testing in this study uses a blackbox testing system.&#x0D; With the construction of the Mobile-Based Registration and Application Queue Application at the Covid Poly RSUD Doris Sylvanus, this results in a queuing system and registration application, and it is hoped that it can help optimize the services available at the Covid Poly RSUD Doris Sylvanus.
The evacuation from commercial objects: The case of DIS object in Niš

Commercial objects present objects with lot of people inside in almost any time moment. The crowds and jams in these objects are very often. Although these objects have a lot of evacuation routes and exits, much of people and stuff in limited space can cause serious problem in evacuation sense, with presence of fear and panic. These and similar objects have clearly noted evacuation routes in the case of emergency, but experience proved that with the surprise effect almost no one pay attention on noted messages and warnings on object's walls, but try to leave the object as soon as possible, very often not paying attention on injured, wounded or unconscious occupants. So, the best way for evacuation is prediction. Optimal prediction can be realized by analyse of as much as possible potential evacuation scenarios. For precise, fast, safe and cheap analyse of evacuation scenarios, routes and calculation of evacuation times, evacuation software is used. One of the best evacuation software is Pathfinder. This paper was written to show the potential evacuation scenarios and calculation of evacuation times in Pathfinder for DIS commercial object in Niš.
The Situation and Some Solutions to Enhance the Quality of Physical Education for Students of Tan Trao University

The article presents the current situation and some solutions to improve the quality of physical education for students at Tan Trao University. Since then, the results of the implementation of the solution are evaluated to be relatively positive and can be widely applied to improve the teaching quality of the subject.
Multi-Channel Learning with Preprocessing for Automatic Modulation Order Separation

Automatic modulation classification (AMC) with deep learning (DL) based methods has been studied in recent years and improvements have been shown in many studies; however, it has been difficult to design a classifier that can distinguish modulation orders such as 16-QAM and 64-QAM, with high accuracy. In this study, the distinction performance of 16-QAM and 64-QAM modulation orders increased by feeding the features obtained during the preprocessing stage to the multi-channel convolutional long short-term deep neural network (MCLDNN). Simulation results indicate performance improvements, particularly at the low SNR region. Furthermore, the proposed method can be extended for the separation of other orders of QAM and other digital modulations.
ANALISIS K-MEDOIDS CLUSTERING PADA EPISENTRUM GEMPA BUMI DI PROVINSI SUMATERA BARAT DAN SEKITARNYA

Sumatra is located along the confluence line of the Indo-AustralianPlate and the Eurasian plate, which has high seismic activity. Theisland of Sumatra is prone to earthquakes which pose a considerabledanger, and one of the provinces on this island that is prone toearthquakes is the Province of West Sumatra. So it is necessary tostudy each earthquake characteristic in the Province of West Sumatraand its surroundings using K-Medoids Clustering analysis.Earthquake data used is tectonic earthquake data from December 1970to September 2021 with attributes: latitude, longitude, and magnitude.In this study, several clusters were tried, namely K=2, K=3, K=4, andK=5 using the Euclidean Distance. The most optimum cluster is K=2of 0.448072 using the Silhouette coefficient validation test, theepicenter was at 99.290E and -1.050S with a magnitude of 5.38 on theSR for the first group and the second group produced an epicenter at101.150E and -3.440S with a magnitude of 5.36 SR.
PERJUANGAN PEREMPUAN DALAM NOVEL BATAS KARYA AKMAL NASERY BASRAL( KAJIAN FEMINISME)

AbstractThis study aims to increase the reader's understanding of women's struggles in the novel Batas by Akmal Nasery Basral. The theory used in this research is feminism. This study uses a descriptive method, a form of qualitative research. The data source in this research is the novel Batas by Akmal Nasery Basral. The data collection technique in this research is a documentary study technique. The data in this study are in the form of quotes from words, phrases, sentences containing a form of struggle carried out by the main female character. The results showed that the data obtained amounted to 12 data. The struggle in the field of education is obtained, namely, the struggle to teach, the struggle to motivate, the struggle to be responsible. The struggle in the economic field was obtained, namely, the struggle to obtain donations for border economic development. The struggle in giving opinions is obtained, namely, the struggle to be accepted in society, the struggle to be respected by fellow co-workers. The implementation plan for learning the results of this study is combined with Indonesian language learning in class XII SMA level in the 2013 curriculum with KD 3.1 understanding the structure and rules of the novel text, both through oral and written and KD 4.1 interpret the meaning of the novel text both orally and in writing. Indicator 3.1.1 determines the structure of the novel text. 3.1.2 determine the rules/language characteristics of the novel text. 4.1.1 interpret of the novel text both orally and in writing.Keyword: Feminism, Novel, Struggle.
Implementasi Deep Learning Dalam Pendeteksian Kerumunan Yang Berpotensi Melanggar Protokol Kesehatan Covid-19

This study aims to propose a system that is able to detect crowds that have the potential to violate the Covid-19 health protocol. In this case the camera is used to capture objects in the form of images (image). Furthermore, the obtained images are processed using Deep Learning. In this case, the Convolutional Neural Network (CNN) is used. The criteria used are the classification of the number of people in the picture and the distance between each person in the picture. The distance allowed between each person is 1 meter. If there are more than 5 people in the image that have a distance between each of them less than 1 meter, then this is classified as a crowd that has the potential to violate the Covid-19 health protocol. In this study, 2 classifications were used, namely crowd and non-crowded. From the test results obtained the average value of accuracy, precision, and recall are 91.71, 91.25, and 92.65, respectively.
Pemanfaatan Algoritma Generate and Test Dalam Kasus Travelling Salesman Problem Pencarian Jalur Terpendek

The Generate and Tesr algorithm is a very simple method in a heuristic search. The completion process of this algorithm is a combination of depth-first search with backtracking because the solution must be generated completely before testing. systematically and following procedures will find a solution. The problem in this study is that if the problem discussed in the Generate test algorithm is very broad, it takes a long time to solve it. The main purpose of this study is to find the shortest alternative route to find a solution in order to obtain the smallest route so as to save transportation costs. The final result of this study obtained 8 paths to the final destination, 2 paths that have the shortest route, namely the A-C-F-I-T and A-C-E-G-T routes. So that the tests carried out can pass through 2 paths to be able to visit the city.
Automatic vehicle counting area creation based on vehicle Deep Learning detection and DBSCAN

Deep learning and high-performance computing have augmented and speed-up the scope of video-based vehicles' massive counting. The automatic vehicle counts result from the detection and tracking of the vehicles in certain areas or Regions of Interest (ROI). In this paper, we propose a technique to create a counting area with different traffic-flow directions based on YOLO and DBSCAN You Only Look Once version five (YOLOv5) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). We compare the performance of the method against the manually counted ground truth. The proposed method showed that it is possible to generate the ROIs (counting areas) according to the traffic flow using deep learning techniques with relatively good accuracy (less than 5 % error). These results are promising but we need to explore the limits of this method with more street-view configurations, time and other detection and tracking algorithms, and in an HPC environment.
Ontological causality as the demarcation criterion of scientific &amp; philosophical fields: things and objects vs. criteria vs. processes

This paper follows an interdisciplinary approach through at least three disciplines, i.e. logic, ontology and sociology (of expertise). Its aim is to provide a useful tool for the fields related to the study of expertise to demarcate the various scientific fields. In the process several issues are also addressed; issues such as causation and negation that are equally important for this discussion but current literature does not and maybe cannot cover.
DESAIN APLIKASI IDENTIFIKASI GAYA BELAJAR SISWA SEKOLAH DASAR MENGGUNAKAN WEB MOBILE

In general, every child or student has a different learning style. Educators or teachers should first know the ways and learning styles of their students so that they are able to choose the right teaching method so that the information and material presented can be well absorbed by students. A student must also know his own style and way of learning and be able to choose a method or way of learning that is good and in accordance with his own character. Students will learn if the material presented is interesting and they consider the material important. By applying the Research and Development (R&amp;D) method with the ADDIE approach, implementation with limited trials to find out the shortcomings and inputs about the application that has been made, namely the application of an expert system to identify student learning styles using a mobile web. Therefore, making this application aims to create an expert system to identify student learning styles that aim to get good, effective, and efficient learning outcomes and are right on target in a learning cycle as the object is students or students, and as the implementation is the teaching teacher
Application of the SAS Method in Beginning Reading Learning in the 21st Century

Many teachers still experience problems in teaching early reading using the SAS method in the 21st Century. This problem is exacerbated by the sudden change in the teaching system due to the Covid19 Pandemic, which affects the implementation of boldly carried out learning. Therefore, this study aims to analyze whether teachers have applied the SAS method in early reading learning in the 21st Century during bold learning or not. This type of research is survey research with a quantitative descriptive approach. The number of samples was 64 parents of students who were randomly selected using the probability sampling technique of simple random sampling type. Sampling in the study was calculated using the minimum sample table according to Krejcie and Morgan. The instruments used include questionnaires, observations, and interviews. The research data shows an increase in each initial learning meeting using the SAS method in the 21st Century during bold learning. It is proven by the results obtained in the first meeting, which were very good, the second meeting was very good, the meeting was very good, and the meeting was very good. In addition, the data on the spread of distribution shows that all parents say that the average tendency of teachers to apply the SAS method in the 21st Century in learning is in the good brave category.
Pengelolaan Inventaris Berbasis Client - Server sebagai Sistem Monitoring Data Aset

Monitoring is the routine process of collecting data and measuring progress on program objectives. Monitor changes that focus on processes and outputs. Monitoring provides raw data to answer questions, while evaluation is putting the data into use and thus providing added value. Management of equipment at the Research and Development Center of the Department of Religion Semarang is a very important thing to do, because the equipment is one of the company's assets, so that inventory data on these assets must always be maintained in order to provide clear information and facilitate maintenance. The process to ensure that the accuracy and clarity of the information is maintained so that the data recapitulation and data reporting process can run well is monitoring the data. The analytical method used in the development of this system is based on a structured analysis method, where the tools used to model data flow are DFD (Data Flow Diagrams), diagrams for modeling relationships between data are E-R diagrams. This client-server based asset and inventory data monitoring system for the Research and Development Center of the Semarang Department of Religion consists of several access rights, namely the right of access as admin by the LAN &amp; Desktop Support section, and the Manager.
A Recommender System-Based Approach to Risk Management in Scrum Projects

Risk management is essential in software project management. It includes activities such as identifying, measuring, and monitoring risks. The increasingly popular agile methods don’t offer specific activities to manage risk. The lack of risk management or its inadequate application is one of the reasons for the failure of software development projects. Therefore, we developed an approach to risk management in software development projects that use Scrum. The proposed approach provides a set of risk management practices and an iterative life cycle. Along with this approach, we developed a recommendation algorithm to assist decision-making when identifying risks. Thus, we performed an offline evaluation to verify the best configuration for the recommendation algorithm that will accompany our approach. We chose Manhattan similarity based on the experimental results collected, with a precision of 45%, recall of 90%, and F1-score of 58%. So it is possible to observe that the recommender system can perform risk predictions satisfactorily. Therefore, it is promising to assist in decision-making in Scrum-based projects.
ANALISIS KETAHANAN KOTA TERHADAP BENCANA BANJIR DI DAERAH ALIRAN SUNGAI ACAI KOTA JAYAPURA

According to information from BNPB for the district/city of Jayapura, in the last 10 years from 2009 to 2019 natural disasters floods rank first in the number of events that have been experienced. The research was conducted in the Kali Acai river, Abepura District, Jayapura City. The research time is estimated to be ±2 months with data taken in the form of primary data and secondary data. The results of channel evaluation carried out both secondary and primary channels when compared with the maximum flood (Q plan) that occurred in the Acai Sub-watershed with a 10 year return period, amounted to 154.197 m3/sec. Meanwhile, the results of the evaluation of the Acai River's capacity are still quite large without sedimentation and garbage. The vulnerability of the urban community due to the flood disaster that occurs is seen from the social aspect including age, gender, and community education in Abepura District. From the variables, namely the age level of 28.36% and 1.35%, it has a relatively small population of disaster-prone groups. The gender variable shows that the number of vulnerable are women in the amount of 45.47% of the total population of male and female productive age, while the variable for the level of vulnerable education is 54.43% who have primary school education. Efforts that can be made by the government and society in flood control efforts are through structural and non-structural methods.
Exploring the Potentials of Using Smartphones in Enhancing Learning English at the University

This article investigates the pedagogical benefits of smartphones as a form of mobile learning in English language classes. This study which stems from the experience of the author as a teacher of English at the university seeks two main aims: shedding light on learners’ perceptions and awareness of the pedagogical usages of smartphones and exploring learners’ usages of cellphones inside and outside the classroom settings. To rigorously explore the afore-mentioned aims, a survey questionnaire had been administered to 18 Master students of English Didactics and Applied Languages, Mostaganem University). The analysis of the collected data revealed that the use of smartphones for pedagogical purposes is obstructed by various hindrances that emanate from learners’ unawareness of their academic usages and teachers’ negative attitudes towards them.
UTILIZATION OF U-DICTIONARY APPLICATION IN LEARNING VOCABULARY

Vocabulary is an important part of learning English. There are lots of ways to be able to have a lot of vocabulary, one of which is to use a U-Dictionary application. Students who are researching vocabulary have difficulties in mastering English, particularly in terms of getting to know vocabulary which they frequently research at school. This research aims to observe the utilization of U-Dictionary application in learning vocabulary at 7th grade of SMPN 6 Bekasi. A qualitative descriptive method was employed in this research. In this research, an interview with the English teacher at the school was conduct regarding the utilization of the U-Dictionary, a questionnaire for students regarding the benefits they get when using the U-Dictionary application, observations during classroom learning vocabulary activities, and documentation of students. Also, the data were obtained using questionnaire and interview. This research was conducted on 40 students who were given a questionnaire containing 10 statements regarding the benefits of the U-Dictionary. Most of the students 60% of 40 students are usually strongly agree that the U-Dictionary application helps the students in learning English Vocabulary, 52.5% of 40 students choose strongly agree that U-Dictionary application adds a lot of new vocabulary, 62.5% of 40 students are usually strongly agree that U-Dictionary application is necessary for the students. In observation of this research found 3 facts on the class; 1) maximum utilization and use can provide good things, 2) increase students learning enthusiasm, 3) give rewards to students.
Student’s Problem in Listening Skill of Vocational High School At Dharma Budi Sidamanik

This article describes the problem faced by students in Listening Skills at Vocational High School level, in particular it discusses (1) problems they face in listening to English and (2) how the teacher solves the problem. This research uses qualitative descriptive, and was conducted at Vocational High School at Dharma Budi Sidamanik, Sidamanik District, Simalungun Regency in class X with 30 students. The findings show (1) students do not have sufficient listening skills, (2) problems faced by students in listening are related to with their level of concentration, the habit of speaking English, limited vocabulary, similarity in pronunciation in English and also the problem of accents, there are several distinctive accents such as British and American, and (3) to overcome these problems, the teacher applies the Community Language Learning method by asking students to make study groups, in learning to listen to English. Thus, it can be concluded that the teacher's efforts are relevant to listening problems faced by students
FORMATION OF UNIVERSAL CULTURAL COMPETENCIES IN TECHNICAL UNIVERSITIES: CONTINUATION OF DISCUSSIONS

The article is devoted to one of the urgent problems of education related to the quality of training of specialists of higher professional school. Attention is focused on the issues of the quality of training of a new generation of graduates of technical universities, which should have not only a high level of special professional skills, but also an equally high degree of universal cultural competencies that contribute to successful adaptation in social reality. The need for the formation of a new image of a professional engineer as a highly cultured and creative person with high social and civic responsibility is actualized. The interrelation of the degree of development of universal cultural competencies and mastery of professional and technical skills to improve the level of engineering training is revealed.
PENGARUH GAME ONLINE TERHADAP MOTIVASI BELAJAR SISWA PADA MAPEL SOSIOLOGI DI MAS AL-MUHAJIRIN SINTANG

AbstractThis study aims to determine the effect of online game addiction on students' learning motivation in sociology subjects at MAS AL – Muhajirin Sintang. The research method used in this research is descriptive quantitative, the population taken is students who play online games. In determining the sample for this study using purposive sampling technique. The data analysis technique used is simple linear regression analysis, correlation coefficient (R), and coefficient of determination (R2). Based on the results of the calculation analysis that has been carried out, it was obtained that Fcount (equal variance not assumption) is 1,473 distribution tables sought at a significance level of 5% with a sample of 40 so that Ftable is 4.08, it can be concluded that Fcount &lt; Ftable (1.473 &lt; 4.08 ) then Ho is accepted and Ha was rejected, it meant that there was no influence between online game addiction (X) on students' learning motivation (Y) in sociology subjects.Keywords: Learning Motivation, Online Game Addiction, Student