Reviewerly/exHarmony huggingface dataset:
Studi Ruang Pembelajaran Kolaboratif Studio-Based Classroom untuk Kampus Kreatif

The transformation of national universities into global-minded institutions should necessitate a design concept that integrates the design of learning facilities and learning outcomes. This research aims to seek design concepts that support research and learning in a hybrid learning environment. The research method is carried out from practice-based research as a way of research through design to build a conception of future-oriented learning classroom design. As a result, this research output is outlined in the conceptualization of integrated classroom design whose learning is collaborative by applying studio-based classroom design on the campus of Esa Unggul University, Citra Raya branch, Tangerang.
PEMANFAATAN METODE NAÏVE BAYES UNTUK DIAGNOSIS TINGKAT STRES PADA MAHASISWA TINGKAT AKHIR BERBASIS DOMAIN EXPERT

Stress is something that everyone experiences in general, meaning that stress itself is a change in the body's response to threats and pressure. In dealing with stress, there are two reactions experienced by person, positive reactions and negative reactions. positive reactions can be in the form of better adaptability and increased levels of alertness and can spur these individuals to become more advanced in various matters and fields, besides the positive impact on some individuals stress can cause negative reactions which can be characterized by excessive worry, fear and feeling anxious. In living life as a student who hones knowledge in lectures according to the field taken, stress can hinder the lectures that are being undertaken, stress factors that are generally experienced by students such as bad association and relationships between fellow students or lecturers, lack of trust self, lack of support from family. Based on these problems, the authors feel the need for an expert system design to detect student stress levels with the Naive Bayes Method by taking the test location at Narotama University. The design of this expert system aims to allow students to independently diagnose the level of stress experienced. from this expert system design as much as 90% of students who do the testing get solutions from expert advice as outlined in the design of this application.
Implementasi Generate Map dan Pemunculan Objek secara Acak pada Game 3D menggunakan Bahasa C# dan Metode Perlin Noise di Unity: Studi Kasus pada Game Development

&lt;p&gt;&lt;span style="text-decoration: underline;"&gt;&lt;em&gt;Perlin noise algorithm is used to generate noise on the map surface, creating natural effects in 3D games. In this research, a C# script code has been implemented in Unity that can generate maps and spawn random objects in the game. The research results demonstrate that the implementation of map generation and random object spawning techniques can enhance gameplay quality and provide a more immersive playing experience for users. This research aims to contribute to game development on the Unity platform as well as the development of map This research explores the implementation of procedural content generation (PCG) techniques using C# programming language and Perlin noise method in Unity to generate map and random object spawning in 3D games. The main objective of this research is to develop PCG techniques that can be applied to game development. The generation and random object spawning techniques in 3D games using Perlin noise method.&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;
SISTEM INFORMASI MONEV PENGENDALI JENTIK NYAMUK BERBASIS ANDROID MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT STUDI KASUS DI UOBF PUSKESMAS NGEMPIT

&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; &lt;em&gt;Jumantik or Lartic Monitoring Interpreter is the person in charge of carrying out inspection and monitoring of mosquito larvae, especially Aedes Aegypti and Aedes mosquitoes Aedes albopicus. These mosquitoes have a well-known health impact as Dengue Hemorrhagic Fever. P Health Center is one of the health agencies located in the area of Pasuruan Regency which has responsibility in providing health services to the community. This program The aim is that jumantik cadres can monitor mosquito larvae in places public facilities in the working area of the puskesmas are cramped so that the location can be more awake and clean so that it can reduce the growth rate of mosquito larvae. The system used by the school still uses sheets of paper containing forms Screening and monitoring. To assist in conducting monitoring and evaluation mosquito larvae, then a monitoring information system was made with android technology. The method used is the RAD (Rapid Application Development) method. Method Rapid Application Development is implemented on the system to be built. With this application with Android technology, it is hoped that it will make work easier Jumantik Cadres and Program Holders in monitoring places public facilities in the working area of the puskesmas are cramped.&lt;/em&gt;&lt;/p&gt;
SISTEM PAKAR DIAGNOSA PENYAKIT IBU MENYUSUI MENGGUNAKAN METODE FORWARD CHAINING DAN METODE CERTAINTY FACTOR

&lt;span class="fontstyle0"&gt;Abstract: &lt;/span&gt;&lt;span class="fontstyle2"&gt;Breastfeeding is known as one of the most powerful influences on a child's survival. Breastfeeding provides many benefits, including functioning as a natural contraceptive for mothers, maintaining maternal health and saving family expenses. However, there are some common obstacles faced by breastfeeding mothers, one of which is the lack of prompt consultation services. Limited access of breastfeeding mothers to counseling with health workers regarding physical difficulties and complaints during breastfeeding. Therefore, this study aims to measure the level of risk using an expert system with the certainty factor method with web-based forward chaining tracing. This method is expected to help provide solutions and make it easier to detect diseases in&lt;br /&gt;breastfeeding mothers.&lt;/span&gt; &lt;br /&gt;&lt;br /&gt;
PENDAMPINGAN PENINGKATAN KEMAMPUAN DAN KETELITIAN DALAM MANAJEMEN INVENTARISASI

The existence of office inventory items requires the process of managing, recording, or reporting goods to find out the number of items, additions to existing items and to find out reports of mutations or deletion of goods. The problem that occurs in inventory management at Tiara Dewata is that checking inventory data distributed between departments every 6 months is still not good, there is still a lack of thorough SO inventory officers in each department when checking inventory data between goods that are still good and those that are damaged ( destroyed). Therefore, in order to provide a change from the actual situation that is currently happening and to improve in terms of checking so that it is accurate and in accordance with the data, it is deemed necessary to provide assistance to provide information related to the process of checking inventory data that is correct and in accordance with what is in the company Tiara Dewata. Overall, the assistance activities to increase the ability and accuracy in inventory management in Tiara Dewata's accounting department can be said to be successful. Apart from being measured by the three components above, this success can also be seen from the benefits after participating in the activity. The benefits obtained are being able to carry out inventory management activities better and it is hoped that all parties will always improve accuracy and better communication. So it can be concluded that the purpose of this activity can be achieved
RESULTS OF TESTING THE POSITIONING ALGORITHM AND DETERMINING THE ORIENTATION OF THE UNDERWATER VEHICLE BASED ON DATA FROM HYDRO-ACOUSTIC BEACONS

The article deals with the determination of coordinates and orientation angles of the autonomousunderwater vehicle (AUV) relative to the stationary landing platform using high-frequencynear-range hydroacoustic system. The navigation task implies maneuvering the vehicle and approachingthe underwater station, which is associated with the formation of zones with differentacoustic visibility of the station's emitters by the receiving elements of the vehicle. Three zones ofacoustic visibility can be distinguished. The first zone is characterized by observation of signals of allbeacons of the underwater station. As a consequence, this zone is the most informative for solving theproblem of positioning and orientation determination of the AUV. The second zone corresponds topartial reduction of the number of observed beacons, which does not critically influence the possibilityof problem solving. The third zone (landing) is defined by essential reduction of a number of observedbeacons, that, as consequence, considerably complicates the solution of the positioning problem,taking into account the increased requirements on accuracy at the moment of landing of thedevice caused by provision of safety. To maintain positioning accuracy and determine the underwatervehicle orientation in the landing zone, it is proposed to use the results obtained in the early stages ofapproach of the vehicle to the underwater station (the first and second zones). A mathematical statementof the problem is given in the work, and the algorithm of its solution is described. When findingthe AUV in the first and second zones, the solution algorithm consists of two subtasks. The first subtaskis a rough estimation of location vicinity and angles of vehicle orientation using K-nearestneighbors method; the second subtask is specification of estimations using pseudo-dimensionalmethod by solving system of algebraic equations with Levenberg-Marquardt algorithm. In addition,estimation of beacon emission time is carried out. At finding ANPA in the third zone the algorithm isreduced to solution of system of algebraic equations with use of forecast of time of signal emission bya beacon, received at finding of the device in zones one and two. The results of simulation modelingand results of algorithm approbation obtained using a mockup of the vehicle and a mockup of theunderwater station in the test pool are presented.
Total Physical Response (TPR) and the Development of Metacognition and Motivation in Learning English

This is a qualitative study with an exploratory scope since it wanted to examine a little-studied research topic on the teaching and learning of English.Its objective was to establish the relationship between the TPR (Total Physical Response) method and motivational and metacognitive development in seventh grade students in the English area from three basic education institutions in the rural and urban sectors in Colombia.With the particularity that all the students participating in the study stated that they had had unpleasant experiences with English in their academic environments.For this, an intentional non-probabilistic sample was used, since in these groups there was evidence of greater difficulty in using and learning the second language, greater fear when expressing themselves orally and interacting with others.A survey was applied to this population as an instrument, through which it was possible to know the effectiveness of the TPR method for meaningful learning of English.As analysis methodology, description and comparison were used.An Excel matrix was produced; structured, categorized and detailed with specific objectives, categories, subcategories and finds, which showed how to compare and analyze each data obtained and thus see the results clearly.In conclusion, it can be stated that the results showed that the method raised interest and motivation, pursuing a significant learning of English, in an autonomous and self-regulated way, and at the same time facilitating the active participation of the student.
Strategic Management of Risk by Multinational Banks in Sub Saharan Africa

In their search for profit maximization, multinational enterprises should adopt strategies that neutralize country risk effects.This paper seeks to establish whether country risk affects profitability of multinational banks in sub-Saharan Africa, and whether strategic decisions regarding 'where to go' for investment in terms of geographic diversification, and the 'source of capital' in terms of debt or equity financing, help mitigate country risk effects.Using panel data (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020) of multinational banks in sub-Saharan Africa, and a two-step Systems Generalized Method of Moments (S-GMM) estimation technique, results find both short run and long run negative effect of country risk on profitability.Augmenting country risk with the two corporate strategy constructs, results show: first, a positive long run hedging effect of geographic diversification on country risk implying that increased geographic diversification strategy maximizes the bank's long run profits irrespective of the level of country risk confronted.Second, on the source of funds strategy, augmenting country risk with equity financing raises profitability of banks than debt financing.This is so probably because equity finances hedge banks from risks from nationalization and expropriation.For multinational banks to guard from country risk, their geographic expansion should be financed using equity funds than debt.
Pengaruh E-Learning Terhadap Hasil Belajar Siswa Pada Pembelajaran Matematika Kelas VIII MTsN 5 Magetan

This study aims to determine the effect of video-based e-learning on student learning outcomes in learning mathematics in the circle material for class VIII MTsN 5 Magetan. This research was conducted in February 2022. The method used in this study is a quasi-experimental design with a control test. Sampling of data was done by using cluster random sampling technique. The sample of this study amounted to 32 students for the experimental class and 32 students for the control class. Data retrieval using test instruments in the form of multiple choice, data analysis using t test. the results obtained tcount 25.983 &gt; ttable 2.660 with = 1%, which means Ho is rejected. So that the alternative hypothesis (Ha) is accepted, namely that e-learning with videos has an effect on student learning outcomes in mathematics learning material for class VIII MTsN 5 Magetan. It is suggested to the school to provide support and facilities for the development of this video-based e-learning method so that of course it can improve student learning outcomes.Keywords: E-learning; Student Learning Outcomes; Circle
ON THE STABILITY OF THE FOUR-POLE POINCARE-STEKLOV FOR SOLVING TASKS OF HARDWARE IN THE LOOP MODELING OF SYSTEMS

The article considers the stability of the Poincare–Steklov filter both from the point of viewof the theory of four-poles and from the point of view of iterative numerical methods for solving asystem of linear algebraic equations. HIL simulation involves splitting the initial system into parts, with one part being modeled numerically on a computer, and the second part is represented by a realphysical object. The parts of the system exchange data with each other through a hardware-softwareinterface, which can be implemented in different ways and should ensure stability, as well as convergenceof the results of HIL simulation to the results of modeling the original system. The variants ofconstructing software and hardware interfaces ITM, TLM, TFA, PCD, DIM, GCS and the Poincare-Steklov filter are described in the relevant literature sources. At the first stage, the article formulatedin a generalized form the problem of analyzing the stability of a system divided into parts using thePoincaré-Steklov filter. The parameters of this system are found. At the second stage, the analysis ofthe stability of the system divided into parts was carried out both from the point of view of the theoryof quadripoles and numerical methods for solving a system of linear algebraic equations. At the nextstage, the article presents the results of numerical modeling of the initial and partitioned system inMATLAB. When modeling in parts, the parts of the system exchanged data with each other at eachstep of the simulation only once with a delay of h. This method of numerical modeling of a systemdivided into parts is as close as possible to the processes occurring during HIL modeling of systems.A comparison of the obtained simulation results of the initial and fragmented system allowed us toconclude that the Poincare-Steklov filter, with the correct choice of values of stabilizing parameters,allows for stability and convergence of the results of HIL modeling of systems, and can also easilyensure the stability of the results of PHIL modeling.
Effect of Eye Exercises on Computer Vision Syndrome among Medical Students of Universitas Sumatera Utara, Indonesia

Objective: To determine the effect of eye exercises on Computer Vision Syndrome among batch 2019 medical students of the Faculty of Medicine, Universitas Sumatera Utara, and Indonesia.Methods: This study used analytical true experimental with a Pretest-Posttest Control Group Design. Sample consisted of 86 respondents who were divided into two groups: control and experimental (intervention) groups. Each group consisted of 43 respondents who were sampled randomly using the simple random sampling technique. Data were collected through the Computer Vision Syndrome Questionnaire (CVS-Q) and analyzed using a statistical software application with a p-value of &lt; 0.05 considered significant.Results: A decrease in the score of Computer Vision Syndrome in the experimental (intervention) group after the eye exercise was observed with a p-value of 0.001 (&lt;0.05). Conclusion: Eye exercise has an effect on the Computer Vision Syndrome.
Predicting an Optimal Virtual Data Model for Uniform Access to Large Heterogeneous Data

Abstract The growth of generated data in the industry requires new efficient big data integration approaches for uniform data access by end-users to perform better business operations. Data virtualization systems, including Ontology-Based Data Access (ODBA) query data on-the-fly against the original data sources without any prior data materialization. Existing approaches by design use a fixed model e.g., TABULAR as the only Virtual Data Model - a uniform schema built on-the-fly to load, transform, and join relevant data. While other data models, such as GRAPH or DOCUMENT, are more flexible and, thus, can be more suitable for some common types of queries, such as join or nested queries. Those queries are hard to predict because they depend on many criteria, such as query plan, data model, data size, and operations. To address the problem of selecting the optimal virtual data model for queries on large datasets, we present a new approach that (1) builds on the principal of OBDA to query and join large heterogeneous data in a distributed manner and (2) calls a deep learning method to predict the optimal virtual data model using features extracted from SPARQL queries. OPTIMA - implementation of our approach currently leverages state-of-the-art Big Data technologies, Apache-Spark and Graphx, and implements two virtual data models, GRAPH and TABULAR, and supports out-of-the-box five data s ources m odels: property graph, document-based, e.g., wide-columnar, relational, and tabular, stored in Neo4j, MongoDB, Cassandra, MySQL, and CSV respectively. Extensive experiments show that our approach is returning the optimal virtual model with an accuracy of 0.831, thus, a reduction in query execution time of over 40% for the tabular model selection and over 30% for the graph model selection.
Pollution Status of Sediment from a Remediated Crude Oil Produced Water Discharge Channel Using Various Indices

The Forcados Terminal effluent discharged channel was remediated about twenty years ago with recommendation for periodic assessment of the organic and inorganic contaminants in the area.Forcados Terminal is in Delta State, Nigeria.This study was carried out to evaluate heavy metals pollution status of sediments in the remediated crude oil effluent discharge channel.A total of sixteen sediments samples were collected from ten sampling locations using grab sampling technique in October 2019 (wet season) and February 2020 (dry season).Heavy metals were determined in all the samples using atomic absorption spectrophotometry after digestion with aqua regia.The results showed that the concentrations of the sediment samples (mg/kg) ranged from <0.01-0.05,<0.01-0.91,<0.01-3.46,13.2-45.3,14.7-64.1,5.56-105, 3.10-108, 0.14-5.86,78.8-289, 28.2-254 and 3529-7773 for Hg, As, Cd, Pb, Cr, Ni, Cu, V, Mn, Zn and Fe.Hg and As were generally not detected in the sediments.On the average, the geoaccumulation index of Cd in the sediments falls into the moderately polluted category while the geoaccumulation index of all the other metals falls into the practically unpolluted category.On the average, the Contamination/Pollution index (CPI) value of Cd was > 1 which indicates that the sediments were polluted with Cd but the CPI values of other heavy metals were < 1 which indicates that these sediments were contaminated with the other heavy metals.
Production Scheduling on Multiple Parallel Machines Using Recent Metaheuristic Techniques

The performance evaluation of evolutionary algorithms (EA) on benchmark problems has attracted researchers for the last couple of decades. Dedicated conferences (IEEE CEC, GECCO, PPSN) with particular emphasis on real-life applications have been organized to fill the theoretical and practical study gap of these optimization algorithms. Real-world problems provide an excellent platform for testing the ability of EAs because of their complex nature due to factors like multiple constraints, noise and specific business modelling. This work demonstrates the ability of five EAs-Adaptive Gaining-Sharing Knowledge with Improved Multi-Operator Differential Evolution Algorithm (APGSK-IMODE), Multiple Adaptation Differential Evolution (MadDE), Sanitized Teaching–Learning-based Optimization (sTLBO), Dynamic Neighbourhood Learning-based Particle Swarm Optimizer (DNLPSO) and Artificial Bee Colony (ABC), to solve a job shop scheduling problem. The focus is on the two winners of the CEC 2021 competition on solving real parameter bound constraint benchmark test suite—APGSK-IMODE and MadDE. MadDE algorithm has been employed with a modification which enhanced the performance of the algorithm. It is observed that APGSK-IMODE gave the most satisfactory results among all five algorithms.
DEVELOPMENT OF AUGMENTED REALITY APPLICATION FOR PHYSICS AND GEOPHYSICS LABORATORY

Abstract. Augmented reality technologies are widely applied not only for business, but also for education and various fields of science. Due to rapidly growing interest in emerging technologies, augmented reality is taking a leading position in almost all areas of education. Applying augmented reality in physics laboratory can make experiments more efficient in terms of understanding using visualization. The article contains process of development of augmented reality application for visualization and its methods for physics laboratory experiments in terms of maximum efficiency and ways to create visual effects. The article proposes a methodology for creating augmented reality application, which allows students to visualize physics laboratory experiments. This technology is a step towards the development of augmented reality practice, which will reduce the time, cost and difficulty of visualizing physics laboratory experiments.