Reviewerly/exHarmony huggingface dataset:
Measuring Students' Creativity in Arabic Speaking Class Based on Project Based Learning Model

This study measures the development of creativity in a project carried out by students related to Arabic speaking skills. A qualitative method was adopted for the study involving 22 students divided into five FGD groups. The assessment of creativity through the FGD process until the project results is carried out by referring to the criteria and points contained in the rubric for assessing the creativity of the project that has been prepared beforehand. The results of this study describe the measurement of student project creativity based on the criteria of format, concept, creativity, spoken language used and the overall assessment of the project. From these measurements, it is known that students have average creativity in the design of Arabic speaking video projects. This means that a project can help foster a student's creative attitude, and help improve it, so it needs to be included in every lesson, especially learning languages such as Arabic.
Using Video Recording Task to Improve English Speaking Skills of Students at Management Program

The main goal of this research is to develop learning method which can improve the speaking skills of students at Management Program by implementing video recording tasks. This research is Research and Development (RD) research employing the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) Model. The respondents in this study were 30 students who took part in English I subject of Management Program. The instruments used in this study were speaking evaluation sheet, questionnaires, and semi-structured interviews. The research data was obtained from their responses to the questionnaire given related to the use of video recording tasks to improve the English-speaking skills of the students at Management study program. From the results of the study, it can be concluded that using a task-based approach to video recording can effectively help students improving their speaking skills. This can be shown that fluency, vocabulary, grammatical structure and pronunciation have P value lower than 0,05, meaning that those variables significantly support the use of video recording task to improve students speaking skills. Besides, students express their pleasure and positive perception of the method. In conclusion, the use of task-based video recording methods can effectively help students improve their oral skills, not only for exams, but also for their real life and future needs. Additionally, students express their pleasant and positive views on this method. Keywords: English Language, Speaking Skill, Video Recording Task
Online Learning Impressions on Students' Psychology at Madrasah Ibtidaiyah

This study describes in detail the online learning impression on student's psychology. This study used a qualitative research approach with a case study type. The data sources were interviews with twenty informants: the principal, one teacher, nine parents, and nine students at Madrasah Ibtidaiyah in Probolinggo. Based on the study's results, there were three categories of the online learning impressions on the students' psychology; cognitive, affective, and conative domain. Students' cognitive domain, students who can not solve problems well and have had a low level of understanding of students' material, students' knowledge of technology is getting wider. In the affective domain, emotional stability was disturbed, such as students being stressed, worried, afraid, dependent on gadgets, and bored with online learning. The conative domain was the intensity of communication with good parents and the lack of socializing with peers.
Diffrences in Student’s Grade Point Average (GPA) Based on SBMPTN of UTBC and UTBK and External Motivation in Choosing PMIPA Majors of Tadulako University

This study aims to describe the differences in student's GPAs at the Mathematics and Natural Science Education (PMIPA) Department of Tadulako University who enter through the Joint Selection to Enter State Universities (SBMPTN) pathway with the Print-Based Written Test (UTBC) in 2018 and Computer-Based Writing Examination (UTBK) systems in 2019, describe the relationship of external motivation of students in choosing majors with GPA based on the SBMPTN (UTBC and UTBK) pathway. The samples used were all students at the PMIPA Study Program of Tadulako University who entered through the UTBC SBMPTN pathway in 2018 as many as 134 students and 130 students of UTBK 2019. There is an insignificant difference in the students' GPA through the UTBC and UTBK SBMPTN pathway. The students of UTBK have a higher GPA in the second semester than the students of UTBC, with the average GPA of UTBC students is 3.407, and the average GPA of UTBK students is 3.525. There is no relationship between students' external motivation in choosing a major against students' GPA at the PMIPA department of Tadulako University, but factors of interest and self-will influence it.
ARTIFICIAL INTELLIGENCE: HOW ARE GEN Z’S CHOOSING THEIR CAREERS?

In the past decade, the rapidly increasing use of technology has changed the job market, making some careers obsolete while inventing new ones. While the social actors in the job market are adapting to the requirements, Gen Z’s currently studying and preparing for jobs that have not been invented. Artificial intelligence is now on the launching ramp, more precisely in developing countries, which, due to the current reality (pandemic-forced digitalization), will need to catch up quickly. We are asking how ready our society is to embrace the changes and how these affect choosing one’s career. While artificial intelligence is a field of study that indicates the future and the direction everyone is going, it seems like facing unexpected circumstances conducts to the embracement of the unknown with faith by a generation that was raised and exposed to technology. The methodology for this study was a review of the relevant literature, substantiating the proposed scientific approach from a theoretical standpoint.
Analyzing Difficulty Index of Ekadanta English Section Multiple Choice

Evaluation has been an essential component of the teaching and learning process for as long as it has been a part of the teaching and learning process itself, which is something that takes place all the time at every educational institution. This is because the assessment has a tight link with educators in the process of transferring information to analyze how much students' abilities have developed over the course of the learning process and while assembling each assignment in the process of learning. This study tries to shed light on the index of difficulty index found in a set of prediction test in Ekadanta tutoring book. This study employed descriptive qualitative approach. The data source was 20 questions from Ekadanta tutoring book. The subject of this study were 11 students of English Department at Universitas Iskandarmuda, Banda Aceh, Indonesia. The data collection was carried out by instructing the students to do the test within 40 minutes. After the data obtained, they were analyzed using index of difficulty formula and categorized into its index level. The results shows that from 20 question, there are 8 questions fall under difficult index, 8 questions are categorized into moderate, and the other 4 questions are considered easy in the level of difficulty index. It is concluded that the test is good and descent from the perspective of the difficulty index. It is later suggested that future research would involve more questions and test sets as well as participants in studies alike.
Opposition-Based Jellyfish Search for Feature Selection

Jellyfish Search (JS) is a recently proposed meta-heuristic optimization algorithm that simulates the behavior of jellyfish searching for food in ocean currents. However, JS suffers from problems related to population diversity in the search space and low convergence rate. This work proposes a new algorithm called opposition-Based Jellyfish Search (OJS), which uses opposition-Based Learning to increase search space coverage and the balance between exploration and exploitation. The OJS is validated against large-scale benchmark optimization functions from the CEC’2013 competition and also against feature selection from six datasets related to fault identification in power transformers. The experimental results demonstrated an increase in the OJS convergence rate concerning the original JS version and a performance improvement, obtaining lower fitness values in the large-scale benchmark optimization functions. Concerning feature selection, OJS obtained better accuracies than JS, demonstrating its viability for identifying faults in power transformers.
Clipping Pada Aneurisma Intrakranial

An aneurysm is an abnormal formation of a blood vessel. Aneurysms are divided into 4 according to their shape (saccular, microaneurysm, giant, and fusiform). The formation of an aneurysm is caused by many factors (patient risk factors, hemodynamic stress, and involvement of cytokines and inflammatory mediators as well as macrophages, T cells, and mast cells). The diagnosis of an aneurysm is carried out with the help of tools such as MRA and CT angiography. In providing management of an unruptured aneurysm, consideration is needed by taking into account many factors, to facilitate this consideration, an assessment can be carried out first, it can be carried out using a scoring system called Unruptured Intracranial Aneurysm Treatment Score (UIATS). One of the time-proven aneurysm management is to perform aneurysm clipping. Clipping has advantages such as having a low recurrence rate and has disadvantages such as being invasive with the need to perform craniotomy. Complications that can arise from doing clipping in aneurysms such as infection, allergic reactions to anesthetic drugs, stroke, seizures, cerebral edema. Prognosis of management using the clipping method is good.
Russian Journals in the Subject Category “History” in Scopus: Key Indicators and Impact Assessment at the International Level

The article presents an analysis of Russian journals indexed in Scopus in 2021 by the category “History.” The purpose of the study was to assess the current level and influence of Russian historical journals on the basis of a comparison of their bibliometric indicators with data from journals in France and Germany. Sources and methods. The sources were the data of the Scopus international scientometric database, the SCImago Journal &amp; Country Rank portal, the Russian Science Citation Index, and the Internet sites of journals. Conclusions and discussion. The important features of Russian journals that need to be taken into account when analyzing their bibliometric indicators are revealed: the late start of indexing in Scopus, the presence of more works from other socio-humanities, a large number of articles published annually, the affiliation of the absolute majority of historical journals to universities and research institutes, and the predominance of the journal distribution model by the type of open access. Open access to Russian journals compensates for a high percentage of publications in Russian (85.5%) and a high proportion of Russian authors (82.8%). In terms of citation indicators, Russian journals are superior to French ones and inferior to German ones. Based on the analysis of the “extreme citation” of individual Russian journals, options for correcting it are proposed. Despite the higher self-citation rate of Russian journals (40%), they have higher ratings on average, both at the national level and in comparison with historical journals in France and Germany. The question of defining the boundaries between the specializations of the journal in a closed scientific discipline, going beyond which can be assessed as artificial self-citation, is raised separately. Doubts are expressed about the possibility of a rapid reorientation of Russian journals from the European and American areas of cooperation to researchers from other regions.
ANALYSIS OF CURRENT TRENDS REVISION OF THE REQUIREMENTS FOR THE USE OF PSYCHOLOGICAL TESTS

This article aims to carry out an analysis of modern problems and requirements for the application of psychological assessment methods, which have been identified by scientists from various countries. The study does not pretend to be a mega-analysis, but considers contemporary articles from various scientific journals and educational books that have been published over the past five years. The presented analysis is of a comparative nature and indicates the specificity of approaches to the methods of psychological assessment and the degree of compliance with the basic requirements for their use in research and practice by psychologists from different countries.&#x0D; In the process of conducting a similar study, it is necessary to take into account modern challenges of a socio-psychological nature and changes in the conditions of research, counseling and therapy. In this regard, it was assumed that the recorded transformations influenced the form and format of obtaining a psychological diagnosis, namely: the meeting of the psychologist and the client in person or in absentia; filling out the test on a paper form or through a computer; using GOOGLE online forms for tests and surveys; and collection of testing metadata.
DETERMINATION OF THE PRIORITY SCALE OF FLOOD MANAGEMENT IN THE LANDAK SUB-WATERSHED

The Landak Sub Watershed is part of Indonesia's Kapuas River Basin, covering an area of approximately 7,921 km2 and comprising three administrative regions: Landak Regency, Kubu Raya Regency, and Pontianak City. Like other regions in Indonesia, the frequency of flood events in the Landak Sub Watershed has been increasing each year, becoming a severe problem as it has caused losses for the community. Therefore, a study is needed to provide an overview of the most suitable flood management measures to minimize floods in the Landak Sub Watershed.This article presents the research results to determine the priority scale of flood mitigation measures suitable for implementation in the Landak Sub Watershed using the Analytic Hierarchy Process (AHP). The determination of criteria, sub-criteria, and flood management alternatives is based on the results of a Focus Group Discussion (FGD) held in Ngabang City on August 30, 2022. The selected flood management alternatives combine both structural and non-structural measures. Once the hierarchy is established, a questionnaire is distributed to determine the appropriate options for flood mitigation in the Landak Sub Watershed.The study results indicate that the priority scale for flood mitigation in the Landak Sub Watershed is by revising regulations and policies. The analysis shows that the priority criterion is Law and Institutions with a weight of 0.376, the priority sub-criterion is Legislation with a weight of 0.213, and the priority alternative is the revision of regulations and policies with a weight of 0.1984. For the correction of rules and procedures to be effectively carried out, all stakeholders related to flood control in the Landak Sub Watershed must be involved.
THE USE OF TROPICAL RAINFALL MEASURING MISSION RAINFALL DATA AS INPUT DATA FOR WATER AVAILABILITY ANALYSIS WITH RAINFALL-RUNOFF MODELS IN THE MELAWI SUB-BASIN

Many rain-to-discharge transformation models have been made, such as the Mock Model and the NRECA Model, which are used to make monthly synthetic discharge data when there is not enough discharge data to analyze water availability in a Sub-Basin or Sub-Basin. Tropical Rainfall Measuring Mission (TRMM) data, created by NASA and JAXA, is one type of satellite-based rainfall data that can help overcome the lack of rainfall data. However, not all areas have rainfall recording stations, and if there are, not all existing rainfall recording stations operate correctly. Such conditions also occur in the Melawi Sub-Basin in West Kalimantan. This research aims to determine how much water is available in the Melawi Sub-Basin by putting satellite-based rainfall data into the NRECA model and the Mock model, which converts rainfall to discharge.This study was done to determine how reliable TRMM satellite rainfall data are as input data for the rainfall-to-discharge transformation model used to determine how much water is available in the Melawi Sub-Basin. The goal of this study is to assess the suitability of TRMM data with observation station rainfall data in the Melawi Sub-Basin by validating TRMM satellite rainfall data with BMKG Susilo and BMKG Nanga Pinoh observation station rainfall data and to choose the appropriate rain-to-flow diversion model used in the Melawi Sub-Basin based on the results of model parameter calibration, with the models whose parameters are calibrated being the Mock Model and the NRECA.The study results show that TRMM rainfall data in the Melawi Sub-Basin that has been validated and corrected with the equation Y = 0.748089283 X + 62.19135368 can be used as input data in the analysis of water availability, and the transformation model of rainfall into discharge that is more suitable is the Mock Model. In general, both the observation station rainfall pattern and the TRMM rainfall pattern tend to have the same pattern as the discharge pattern in the Melawi Sub-Basin. The fact that August has the lowest peak is clear evidence of this. Even though the highest point doesn't happen in the same month, the trend is the same, so TRMM rainfall data can be considered valid and used to replace observational rainfall data in the Melawi Sub-Basin. Similar research can be done on other Sub-Basins in Kalimantan Barat Province to help develop and manage water resources since many observation stations in Kalimantan Barat Province no longer work, and there are many large Sub-Basins in that province.
Sistem Informasi Pendataan Engine Alat Berat Komatsu Berbasis Web

PT United Tractors Tbk is the largest and leading heavy equipment distributor company in Indonesia which holds well-known product brands such as Komatsu, UD Trucks, Scania, BOMAG and Tadano. Currently the PT United Tractors Makassar branch workshop still uses the manual method for data collection of heavy equipment engine books, this is felt to be less effective and efficient because the mechanics are impractical in utilizing existing technology and the processing time and engine analysis will definitely take more time long. This study aims to make it easier for mechanics to work on heavy equipment engines without having to carry hardcopies of money needed in the field because mechanics only need to open a PDF file in the program. The final result of this research is to create a web-based application program system that is used as a data collection process for heavy equipment engine books.
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism

Recently, Mixture-of-Experts (MoE) has become one of the most popular techniques to scale pre-trained models to extraordinarily large sizes. Dynamic activation of experts allows for conditional computation, increasing the number of parameters of neural networks, which is critical for absorbing the vast amounts of knowledge available in many deep learning areas. However, despite the existing system and algorithm optimizations, there are significant challenges to be tackled when it comes to the inefficiencies of communication and memory consumption.In this paper, we present the design and implementation of MPipeMoE, a high-performance library that accelerates MoE training with adaptive and memory-efficient pipeline parallelism. Inspired by that the MoE training procedure can be divided into multiple independent sub-stages, we design adaptive pipeline parallelism with an online algorithm to configure the granularity of the pipelining. Further, we analyze the memory footprint breakdown of MoE training and identify that activations and temporary buffers are the primary contributors to the overall memory footprint. Toward memory efficiency, we propose memory reusing strategies to reduce memory requirements by eliminating memory redundancies, and develop an adaptive selection component to determine the optimal strategy that considers both hardware capacities and model characteristics at runtime. We implement MPipeMoE upon PyTorch and evaluate it with common MoE models in a physical cluster consisting of 8 NVIDIA DGX A100 servers. Compared with the state-of-art approach, MPipeMoE achieves up to 2.8× speedup and reduces memory footprint by up to 47% in training large models.
Peran Artificial Intelligence dalam Meningkatkan Efisiensi dan Efektifitas Sistem Pendidikan

Artificial Intelligence (AI) is an increasingly developing technology that plays an important role in various fields, including the education system. AI can enhance the efficiency and effectiveness of the education system through various methods, such as adaptive learning, predictive analytics, intelligent tutoring systems, natural language processing, and gamification. Artificial Intelligence (AI) is likely to continue to develop in the future. This is because AI has great potential to optimize and improve many aspects of human life, including in the fields of education, health, business, technology, and others. Therefore, researchers have taken this idea to optimize the function of AI in achieving efficiency and effectiveness in the education world. This research discusses the role of artificial intelligence in enhancing the efficiency and effectiveness of the education system. The literature review method was used to gather and analyze information related to this topic. The results of the research show that artificial intelligence can improve the efficiency and effectiveness of the education system by accelerating and facilitating the learning process, providing personalized recommendations, predicting student behavior, and improving data management.
Implementasi Pembelajaran Literasi Numerasi pada Program Kampus Mengajar untuk Meningkatkan Kemampuan Belajar Siswa SD Negeri Tanrara

Students' learning abilities related to implementing literacy and numeracy as knowledge and abilities that are closely related to understanding numbers, symbols and analysis of quantitative data such as graphs, tables, charts, generation which are very important to have at this time. By having good literacy and numeracy skills, students are capable of applying their mathematical knowledge in real life. The teaching campus program is part of the Merdeka Campus program. The aim is to provide opportunities for students and self-development through actions outside the lecture period. students will be placed in elementary schools throughout Indonesia and will assist in the learning process at school. Literacy and numeracy are important concepts needed in efforts to develop Indonesia's human resources (SDA). In the current situation, literacy and numeracy do not only cover the ability to read, write and count. However, literacy and numeracy are defined as life skills that cover many aspects of one's life. One of the indicators for measuring developed countries is studying the level of literacy and also the lives of its inhabitants.