Reviewerly/exHarmony huggingface dataset:
Review of the 10th International scientific and practical conference. Scientific publication of the international level 2022: from the present to the future

On the 26-29th April 2022 Kutafin Moscow State Law University (MSAL, Moscow) together with the Association of Science Editors and Publishers (ASEP), Moscow, Russia, organized and held the 10th anniversary International Scientific and Practical Conference “World Class Scientific Publication - 2022: from the present to the future” (ISPC “NIMU - 2022”). About 300 Russian and foreign experts gathered at one site: official representatives of the Ministry of Science and Higher Education of Russia, Russian Academy of Sciences, CrossRef, EASE, publishers, editors of Russian and international scientific publications, scientists and researchers from leading universities, including RUDN University. The result of a four-day discussion of topical issues of maintaining high quality and ratings of Russian journals on national and world platforms of the scientific and information space was the adoption of conference resolution.
A framework proposal to preview pecuniary fines for cyber crime using Brazilian res judicata processes and XGBoost algorithm

&lt;p&gt;A framework is a set of concepts used to solve a problem in a specific domain and this paper, one is proposed through the use of the data collected from Brazilian res judicata processes related to cyber crime and machine learning. Using machine learning methodology, specifically knowledge discovery in database, respecting each of its phases and through the execution of the XGBoost algorithm and SHAP, the results produced tend to help experts to discover patterns of the application of pecuniary fines by the court in the face of a set of applied laws and make predictions. &lt;/p&gt;
IMPLEMENTASI MEDIA KOMIK DALAM PEMBELAJARAN UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA

The role of comic media in learning plays a key role in increasing student motivation. The purpose of this article is to know how implementation and media functions in improving student study motivation. By using previous research for later analysis. For this reason, it is felt that educators know the benefits and implementation of comic media as learning medium so that learning is not monotonous and tend to bore students. Comics as role media are a tool that performs a learning message. In this context, learning points to a communication process between learners and learning resources (study comics). Learning communication works best when the message of learning is conveyed clearly, by blocks, and by appeals.&#x0D; Keyword: comics media, Learning, Education,
PEMANFAATAN LINGKUNGAN SEBAGAI MEDIA PEMBELAJARAN UNTUK MENINGKATKAN AKTIVITAS BELAJAR SISWA

Learning in the classroom is often seen as boring. This is one of the causes of low student learning activities. Effective learning needs to be supported by the use of adequate learning media. The use of the environment as a learning media is carried out by involving students and teachers. This activity seeks so that students can play an active role in the teaching and learning process. The environment is very influential on the teaching and learning process for students, because the environment used as a learning media in the educational process can provide a positive experience for students. By utilizing the environment, students will feel happy and become more active in exploring their knowledge, and teaching and learning activities will not feel boring.&#x0D; Keyword: Utilization of the environment, learning media, experience
IMPLEMENTASI MANAJEMEN PEMBIAYAAN PENDIDIKAN TPQ ROUDLOTUT THOLAB

This study aims to find out about how the implementation of financing management in non-formal educational institutions, namely TPQ. The study conducted research at a TPQ named TPQ Roudlotut Tholab. The research method used is a qualitative research method using a PAR (Participatory action research) approach. The researcher used the approach because the researcher went directly to the research location, namely TPQ Roudlotut Tholab. In this research, the researcher uses secondary data and primary data provided by one of the administrators at TPQ Roudlotut Tholab. The results in this study are the source of funds for TPQ Roudlotut Tholab comes from infaq of the guardians of students at TPQ Roudlotut Tholab and also assistance from the government. Budget management at TPQ Roudlotut Tholab is also very good, this can be seen from the meetings that are often held by the students of TPQ Roudlotut Tholab before entering the new school year. In terms of the use of the financing budget at the Roudlotut Tholab TPQ, it doesn't cost too much, but during this COVID-19 pandemic, the spending budget at the Roudlotut Tholab TPQ is very large, especially if you have to comply with health protocols. TPQ Roudlotut Tholab in carrying out the health protocol to buy buckets and hand washing soap, this was done because he wanted to break the chain of the spread of Covid-19, which spread so quickly in our country, Indonesia.&#x0D; Keyword: Management, Financing, Education, TPQ
Design and Development of Apparatus to Measure Thermal Conductivity of Liquid

- Thermal conductivity is the fundamental material property for characterizing the heat transfer. The measurement of thermal conductivity include the measurement of the heat flux and temperature difference. This study aims to design, fabricate and development a reliable instrument to measure the thermal conductivity. The apparatus is completely different form of thermal conductivity apparatus which has been widely applied in normal laboratory. A literature survey concerning available experiment technique for thermal conductivity measurement was conducted. The level of reliability that based on the accuracy and consistent will be proven by comparing the experimental value with theoretical value. The results obtained certified the aim of work which was to develop the thermal conductivity measurement apparatus suitable for data collection and experimental experience in economic way. Key Words: Thermal conductivity, heat flux
Designing a Video-Based Panorama 360 Virtual Tour at the Sri Baduga Museum in Bandung as a Media for History and Culture Learning for Middle and High School Students in the City of Bandung

The development of technology shows that the technology forces human to do everything and anything using any known technology. So many great things and functions that can be used by using technology so that humans can do everything easier. The plan of this design was aimed to make a Virtual Tour of Museum Sri Baduga Kota Bandung based on 360 video that have a function for education purpose for students of JHS-HS, also with the making of some support media. This part of design was made by using quantitative and qualitative approach. The data was combined by using online questionnaires and an interview. The Result shows that a Virtual Tour can be a very effective and interesting tools to learn especially for the audience.
Localized Undertaking Using Mobile Video Attachment in New-normal (Project LUMVAN) in the teaching and learning continuity amid pandemic

The study looked at the issues and concerns that have arisen with regards to teaching and learning continuity as a result of the COVID-19 outbreak in public elementary schools in Lumban District, Laguna.The Localized Undertaking using Mobile Video Attachment in New-Normal aims to provide a solution to the current challenges of mobile learning by providing teachers with video clips and recorded lessons so that they can educate their learners on the go.This project is about making it easier for learners to learn by creating a platform where educators can record their lessons and upload them, so that learners can watch the lessons whenever they want.This project ensured that students are always learning, even when they're not in school.Further, the audio format helped the students to absorb information more easily because they could listen to their teachers rather than read them.Students learned not just by reading the modules but also through the video clips created by their teachers.These videos will be added to a "video library or folder" that students can access online.This study is focused on the mixed quantitative and qualitative in the Department of Education, District of Lumban, Laguna.With nine participating public elementary schools' data managers.It was found out that there is a significant difference between the academic performance of learners with and without the use of Project LUMVAN.
GLCM Based Locally Feature Extraction On Natural Image

GLCM is a feature extraction method that uses statistical analysis using a gray scale. Contrast, correlation, energy and entropy are feature features whose value will be sought as the basis for finding the threshold which can then be used to find the threshold value in image segmentation. In this study, a local-based GLCM method is used where the image that has been made into grayscale will be divided into 16 parts of the same size. Each section will look for the value of its GLCM features, namely Contrast, correlation, energy and entropy. The calculation of these four features will be applied to 16 parts of the grayscale image, which can then be used to find the threshold value. The results of the four features in the calculation with an angle of 0o are the contrast value = 0.0080, correlation = 0.619, energy : 0.00160 and entropy : 0.05591.
Development of Android-Based 3d Animation Learning Applications to Support Distance Learning for the D4 Animation Study Program, Udinus Semarang

The existence of the COVID-19 pandemic has become a big problem in practicum courses, especially the 3D1 Animation course at the Dian Nuswantoro University animation study program, Semarang. Lecturers cannot guide students directly when experiencing obstacles in the learning process such as during face-to-face learning. The purpose of this research is to create an android application for learning media 3d1 animation. In this application there are several menus including the semester learning plan menu, video tutorials, task collection, consultation with lecturers, remote desktop requests and othersRemote desktop features to make it easier for lecturers to guide students remotely. This study uses the waterfall method, namely software requirements analysis, design, development, testing, and maintenance with testing using the black box method. The test results show that each aspect has results that can be concluded as successful and feasible. This research succeeded in developing android-based 3d1 animation learning media.
Expert System for Diagnosing Potential Diabetes Attacks Using the Fuzzy Tsukamoto

Diabetes is one of the top three killers in Indonesia. According to the 2014 sample enrollment survey, the number of people with diabetes is increasing year by year. This is because the diagnosis of the disease is delayed. Also unhealthy lifestyle. In an era of fast and efficient technological advancement, this is a very good thing for advancement in various fields. More and more fields of knowledge are developing, one of which is expert systems. An expert system is a software or computer program that matches the ability of an expert, meaning that it can match humans with special abilities that ordinary people cannot solve. Expert systems aim to solve specific problems, such as in fields such as medicine, education, etc. This expert system takes as inputs several variables consisting of transient blood sugar (GDS), fasting blood sugar (GDP), frequent hunger, thirst, weight loss, and urine (BAK), the method used by the author is Fuzzy Tsukamoto. This Tsukamoto method states that every result of IF-Then must be described as a fuzzy set with an immutable or monotonic membership function, and uses PHP for programming. The results obtained in the study conducted by the authors were in the form of an expert system that detects diabetes and obtains results with 94% accuracy.
PUSPINDES E-Performance Information System for Monitoring the Performance

Puspindes is a government institution built by the Pemalang government to provide competence in the field of Information and Communication Technology (ICT) development. The rural informatics empowerment center, hereinafter referred to as PUSPINDES, Pemalang Regency is a flagship program under the supervision and responsibility of BAPERMASDES (Community Empowerment Agency Village) Pemalang Regency this institution focuses on village development, especially in the field of Computer Information Technology and also Intern networks for villages. A system was created to assist in the administrative process carried out by PUSPINDES employees using the PHP Programming Language CodeIgniter package and data storage using a MySQL database.
Literature Study on Science Learning Media in Elementary School

This study aims to discover the development of research on elementary science learning media in 2017-2021 and find future research opportunities in elementary science learning media. The type of research used is descriptive quantitative using bibliometric analysis assisted by VOSviewer and Mendeley software. This research data is in the form of 111 research journal articles on elementary science learning media conducted in Indonesia and sourced from several SINTA 1-6 journals in the 2017-2021 timeframe. From the study results, the development of research on elementary science learning media was the highest in 2018. Opportunities for learning media research topics can still be done by selecting keywords rarely used by previous researchers, namely training, science abstract, learning independence, science process skills, cartoons, flashcards, index card matches, puzzles, mastery of concepts, and monopoly games. You can also choose topics with the latest discussion trends using articulate storyline keywords, media development, STEM-based science learning, 21st century, Canva, application of learning media, wonder share, software, mobile learning, monopoly games, mastery of concepts, en-alter source, animation, online, discovery learning, interest and learning outcomes, animated videos, and development models.
Transfer Learning with Xception Architecture for Snakefruit Quality Classification

Machine learning has been greatly used in the field of image classification. Several machine learning techniques perform very well in this task. The development of machine learning technique in recent years are in the direction of deep learning. One of the main challenge of deep learning is that it requires the number of the samples to be extremely large for the model to perform well. This is because the number of feature that trainable parameter are huge. One of the solution to overcome this is by introducing transfer learning. One of the architecture that is currently introduced is Xception architecture. This architecture is claimed to outperform VGG16, ResNet50, and inception in terms of model accuracy and model size. This research aims to classify snakefruit quality by using transfer learning with Xception architecture. This is to explore possibility to achieve better result as Xception architecture generally perform better than other available architecture in transfer learning. The snakefruit quality is classified into two classes. Hyperparameter value is optimized by several scenario to determine the best model. The best performance is achieved by using learning rate of 0.0005, momentum 0.9 and dropout value of 0 or 0.25. The accuracy achieved is 94.44%.
Measuring the Application Readiness Level of AKKU Online Mobile Attendance System using HOT-fit Method

The application of attendance in an institution is necessary to determine the attendance of employees and all staff. The AKKU Mobile online attendance application is an application intended for teachers. However, application users found several problems related to the quality of application services, such as facial scans were not accurate and application errors. The purpose of this study is to determine the level of readiness of the application of the AKKU Mobile application. This measurement uses ARL (Application Readiness Level). The approach used in this research is HOT FIT. Respondents are teachers who use the AKKU Mobile application as many as 173 people. The instrument used was a questionnaire distributed after going through the validity and reliability tests. The results showed that the ARL value on the Human dimension was 73.19%, the organization was 78.37%, and the Technology dimension was 70.58%. The average ARL of human, organization and technology is 74% which is in the pretty good category, or the application execution is successful. However, it is necessary to make modifications and improvements based on the suggestions given so that the ARL value increases, which impacts the quality of the attendance process.
A fast and efficient path elimination algorithm for large-scale multiple common longest sequence problems

In various fields, searching for the Longest Common Subsequences (LCS) of Multiple (i.e., three or more) sequences (MLCS) is a classic but difficult problem to solve. The primary bottleneck in this problem is that present state-of-the-art algorithms require the construction of a huge graph (called a direct acyclic graph, or DAG), which the computer usually has not enough space to handle. Because of their massive time and space consumption, present algorithms are inapplicable to issues with lengthy and large-scale sequences.A mini Directed Acyclic Graph (mini-DAG) model and a novel Path Elimination Algorithm are proposed to address large-scale MLCS issues efficiently. In mini-DAG, we employ the branch and bound approach to reduce paths during DAG construction, resulting in a very mini DAG (mini-DAG), which saves memory space and search time.Empirical experiments have been performed on a standard benchmark set of DNA sequences. The experimental results show that our model outperforms the leading algorithms, especially for large-scale MLCS problems.
Daily Forecasting Trend Jakarta Composite Index (JCI) Using Multivariate Long Short Term Memory

The need to be able to predict stock price movements is one of the problems that are difficult for investors to solve.Forecasting price movements serve as a signal to buy and sell.Forecasting stock price movements can provide a reference for making investment decisions.This study aims to predict the daily trend of JCI.The datasets used in this research are JCI, NASDAQ, and NYSE, ranging from 21 years (01/01/2000 to 31/12/2021).The features used as input are the opening prices of the JCI, NASDAQ, and NYSE.The amount of data used is 5211 lines.The deep learning method used is multivariate LSTM.The optimization of the model used is Adam.There are 4 LSTM models made using loss metrics MSE and MAE, using two epochs of 100 and 300 epochs.The results showed that the 4 LSTM models could predict the daily trend of the JCI.The most optimum model is the model made using MSE with 300 epochs.
Evaluasi dan Redesain Instalasi Pengolahan Air Limbah (Studi Kasus: Hotel X Kota Jambi)

Hotels produce wastewater as much as 80% of the total use of clean water, the wastewater is categorized as domestic wastewater. Hotel X is a 4-star hotel with a need for clean water of 64,396 m3/day and the waste water produced is 49.33 m3/day. Based on observations and evaluations, it was concluded that Hotel X's wastewater was treated at the WWTP with performance that was still not optimal. So that the method used in this research is descriptively analyzing primary and secondary data, then proceed with evaluation and redesign of certain WWTP units based on existing conditions in the field. Laboratory test results show that the parameters that do not meet the quality standards are TSS 136 mg/L, BOD5 56 mg/L, and COD 174 mg/L, so the units that need to be evaluated based on existing conditions consists of grit chamber units, equalizing tanks, anaerobic tank, aerobic tanks, sludge tanks and sedimentation tanks. Based on the results of the evaluation on the existing WWTP unit at Hotel X, there are WWTP units that need to be optimized, namely equalizing tanks and aerobic tanks, where the detention time exceeds the design criteria. Redesign of dimensional changes to the equalizing tank and aerobic tank units. Based on the calculation results, the detention time in the equalizing tank was 8.5 hours and in the aerobic tank 14.38 hours. The equalizing tank unit has been modified to a depth of 2 m to reduce detention time in the initial processing to 6.8 hours, while for the aerobic tank 2 unit, it is modified to a width of 2.5 m and a length of 2.5 m, the length and width of the aerobic tank unit 2 is equated with the size of tube 1 to reduce detention time in processing to 7.6 hours.
Psychoanalysis of the Kazakh mythical story «Umai»

An important place in the scientific environment is occupied by the analysis of mythical legends, stories of the world and separate nations as a text. Mythical works leading to a worldview direction are especially not ignored by either a researcher or a reader.In this regard, the authors of the article sought to create and present to the reader their quotations related to the text and surroundings. The core of the research article is a folk legend-story, including the Kazakh mythical legend-tale «Umai».Accordingly, the applicant authors consider the legend as a text, and then its scientific differentiation. In particular, the Kazakh mythical legend presents its results and conclusions in the form of determining the type of text of the tale «Umai», analyzing the semantic core using a table and a study using a psychotraumatic approach in setting up the text of Vadim Rudnev.At the same time, the authors consider this topic experimental and monitor what results and conclusions it will lead to. Because the static formulation of Vadim Rudnev’s text consists of seven articles, and they can be comprehensively used for the analysis and differentiation (synthesis) of the text. And in the scientific article, one of the articles of the wording of the text is considered separately, namely: 3) there is nothing accidental in the text (psychotrauma).The construction of an algorithmic program must not violate the seven articles of the textual formulation proposed by V. Rudnev. However, the article will be presented to what result personal consideration of the third article can lead to. At the same time, taking into account that the mechanism of analysis or the legitimacy of analysis have a negative impact on logical judgment, it may be advisable to conduct a private analysis of the third article.
Pairwise comparison scale extension using core linking sets

Pairwise comparisons can be used to equate two sets of educational performances. In this article, a simple method for the joint scaling of two or more sets of assessment performances is described and illustrated. This method is applicable where a scale of student abilities has already been formed, and the scale is to be extended to include additional performances. It requires a subset of already scaled performances, which is designated as a core linking set for the purpose of scale extension. The article illustrates the application of the method to construct a scale with a larger range of latent abilities, using fewer additional comparisons compared to the standard method of pairwise comparisons. The design differs from standard pairwise comparisons in the way performances are paired. The method of pairing performances can also be used to efficiently place individual performances on an existing scale.