Reviewerly/exHarmony huggingface dataset:
ENGLISH EDUCATIONAL GAMES FOR STUDENTS BASED ON ANDROID

Along with advances in learning technology, theoretically it is felt to be less than optimal, because of the tendency of children who are more happy with games compared to conventional learning. There needs to be innovative learning to attract children's interest in learning English. One of the things that cannot be separated from technological developments is educational games.&#x0D; Development of English Educational Games using the waterfall method. This educational game is based on Android using Unity3D software. Educational games are accompanied by musical instruments and sounds that can attract students to learn. The application of educational games is carried out at SDN Cimurid. This game is useful for sharpening logic and thinking power so that it makes it easier for children to understand learning material.
PERANCANGAN SENSOR KADAR OKSIGEN UNTUK IDENTIFIKASI PENDERITA STROKE DENGAN METODE NON INVASIVE

Stroke is the number one cause of disability and the second cause of death in the world. Blood flow that is not smooth in stroke patients causes hemodynamic disorders including changes in the value of oxygen saturation in the blood (SpO2) which can interfere with the function of internal organs including the heart due to lack of oxygen intake. So we need a system to monitor the oxygen saturation value which can be used as an early indicator in recognizing stroke patients.&#x0D; This system uses detection of two sensors to measure oxygen saturation in the blood, a microcontroller to process data, a monitor to display data, a buzzer as a warning of the lower limit of measurement and a micro sd card module to store measurement data that has been running. Parameters displayed include the date of measurement, patient ID, SpO2-1, SpO2-2, last SpO2-1 and last SpO2-2. This system will measure and display the SpO2 value of both right and left arms simultaneously. Stroke patients who experience muscle weakness in one hand may experience different values with a hand that does not experience muscle weakness. This study aims to develop an SpO2 monitoring system that will be used to detect stroke patients with non-invasive methods.&#x0D; The results show that the system has been developed and can be used to measure the patient's SpO2 from both hands simultaneously with a measurement error rate of ±2% for each sensor from standard medical equipment.&#x0D;
Artificial Intelligence in Pathology: Friend or Enemy?

Artificial intelligence technologies have been used frequently in many areas of life in recent years, and the frequency of its' use in the field of medicine is increasing.In medical pathology, which is a specialty that diagnoses diseases and directs patient management, artificial intelligencebased algorithms have started to find a place in the routine practice.With the more frequent use of these technologies, the positive and negative impacts of artificial intelligence in pathology have become open to discussion.In this review, it is aimed to summarize the routine workflow in medical pathology, to examine the concept of artificial intelligence from the perspective of pathology, to evaluate the impact of artificial intelligence on pathology practice, and to assess what may await the future generations of pathologists.
A cross-case analysis of ICT courses in teacher training programmes for special needs: Technology affordances and Universal Design for Learning

The special needs teacher is a highly qualified professional whose role is to work in collaboration with all class teachers to activate an inclusive approach for the benefit of all students and to enable individual potentialities. Technology can be of paramount importance in designing learning activities according to the principles of Universal Design for Learning in an interdisciplinary approach and with a holistic perspective of all involved actors in the teaching/learning process. In Italy, the prospective special needs teacher has the opportunity to be fully trained thanks to a comprehensive specialization course where the areas of competence of digital literacy are addressed in a specific course. The study reports a cross analysis of three editions of an Information and Communication Technology course, with a focus on the results of the last edition, whose online format was discussed starting from strengths identified in the first two face-to-face editions of the same course.
What Worked? A Qualitative Study on the Tutor-Tutee Relationship in the Tutoring Online Program (TOP)

The transformative processes that have involved the academic world for more than two decades have been accelerated and renewed in the wake of the Sars Covid-19 Pandemic. Universities, already oriented towards the promotion of smart, sustainable, and inclusive growth, have nevertheless been called upon to rethink and reshape the services, projects and methodological approaches previously developed. The aim of this paper is to describe a qualitative study carried out within the Tutoring Online Program (TOP), designed to respond to the new demands brought to light by the pandemic. After outlining the innovative characteristics of TOP, where the tutors are volunteer university students and the tutees are secondary school students, the results of the qualitative research are presented. The aim of the survey is to identify the elements which, in the perception of the tutors and tutees, may have supported, or on the contrary limited, the creation of a meaningful relationship developed entirely online.
Analisis Sentimen Bahasa Indonesia Pada Tempat Wisata Di Kabupaten Sukabumi Dengan Naive Bayes Classifier

Sentiment analysis of comments from visitors to tourist attractions and the public on tourist attractions in Sukabumi Regency which is one of the areas with various categories of tourist objects and is a sector of economic income for the surrounding community or for related parties such as the government and managers, in sentiment analysis research This includes using the Nave Bayes classification algorithm to examine the sentiment of tourist visitors and the performance of the classification model used. The data used in this research was taken from the website from Tripadvisor and Google Maps using a crawling technique, which then processed the data by a pre-processing process and then applied a classification to the data and got a sentiment visualization by processing word frequency on tourist visitor sentiment data. The results of the accuracy of the model used were re-tested with the k-fold cross validation method and the results of sentiment visualization got the frequency of words that most often appear on negative sentiment labels are garbage, beaches, lacking, places, roads, parking, dirty, entering, caring, clean , expensive, pay, manage, good and water.
SISTEM PENDETEKSI KETERSEDIAAN DAN LOKASI TEMPAT DUDUK PADA RUANGAN MENGGUNAKAN MOVABLE PASSIVE INFRA RED (PIR) ARRAY

Based on statistical data, every year there is an increase in population. This also happened to the increasing number of Catholics. The increase member in Saint Aloysius Church of Mojosongo isn’t accompanied by an increase of seating facilities, to solved this, a device was designed which will show seats that have been used or still empty through a viewer that will be placed near the entrance. The research method used in this study is a quantitative method. The number of seats used by in one block is 25 seats, the seat sample is 9 seats. Three (3) PIR sensors are placed above the row to the seat 2, where the direction of the PIR sensor is drived by a stepper motor with an angle is 22.61°. Detection alternated and sequentially starting from row A, row B and row C. In general, the seat detection system based on ATMEGA16 works according to the design. People can find an empty seat position by looking at the viewer (LED) and looking for LED lights that are not lit.
PERANCANGAN SISTEM INFORMASI PROMOSI DAN PEMESANAN PADA TOKO BATIK AYU BUSANA BERBASIS WEB

https://docs.google.com/document/d/1GRp64SAOddWDlNhDAZAnhxYRQQ1zKmw-/edit?usp=drivesdk&amp;ouid=115574439482258281947&amp;rtpof=true&amp;sd=true
Analysis of Design Flood Discharge and Water Level Case Study of the Batang Singkut River Section Sarolangun Regency

The Batang Singkut River section is a tributary of the Batang Asai River which passes through Pelawan District and Singkut District. This research was carried out by calculating the design flood discharge and modeling the water level using HEC-RAS. The starting point of the research is on the bridge around the Jambi University campus in Sarolangun Regency with the length of the river under review being 300 meters. The discharge data used is the maximum daily discharge for 10 years from 2011 to 2020. The method used to calculate the design flood discharge is the method of frequency analysis and distribution testing using the chi-square method. The analysis was carried out to find the design flood discharge frequency using the Pearson III log distribution type for return periods of 2 and 5 years. The calculated discharge is entered into the HEC-RAS to model the water level. The modeling results showthat at a 2-year return period for cross sections STA 0+00, STA 1+00, STA 1+50, STA 2+00, STA 2+50, and STA 3+00 are able to accommodate water with a discharge of 83.5026 m3/s, but for the STA 0+50 cross section it is unable to accommodate the amount of discharge generated. Whereas for the return period of 5 years the cross section of STA 0+00 to STA 2+50 is unable to accommodate water with a discharge of 118.4132 m3/s, while for STA 3+00 the cross section can hold water.
Penggunaan Metode K-Means Untuk Menentukan Clustering Kelompok Belajar Siswa

Science and technology will facilitate human work. However, on the other hand it will increase competition. In facing intense competition, it is necessary to have competent human resources. Students are expected to be academically prepared, in the form of knowledge and skill readiness to face increasingly fierce competition. One way to see student competence is to look at learning outcomes that can be represented by the exam scores taken. The midterm exam (UTS) is a form of exam which is an assessment component. By knowing the UTS scores, the lecturer knows the distribution of students in terms of academic competence. For this reason, it is necessary to group (clustering) using the k-means algorithm as a consideration for lecturers in forming student study groups based on UTS value clusters.
SISTEM PAKAR DIAGNOSA PENYAKIT PADA GIGI BERBASIS WEB DENGAN PENALARAN FORWARD CHAINING

Teeth are one of human‘s organs that feeds on food. As an organ, the tooth definitely can be attacked by some disease. There are many cases of dental disease that occur from dental diseases common to people to chronic dental diseases that can be dangerous. The low level of public concern about dental disease is a problem faced today. Evidenced by the small number of people who diligently consult with dentists about the health of their teeth. An alternative option is needed that can make it easier for people to be able to consult or diagnose dental health and disease without having to see a doctor of dental health. Therefore, in this essay an expert system was created to provide alternative choices for people. This expert system was created with the php hypertext preprocessor programming language. Using the forward chaining method as a tracking method. The purpose of making this expert system is to be able to be a substitute for a dental expert so that people can already do the diagnosis of dental disease anywhere and anytime.
Penerapan Algoritma Apriori Untuk Rekomendasi Display Produk Mebel Furnitur

In a business , the ability to process data is very necessary, information obtained from a business can provide benefits in an effective and efficient business strategy, but with the development of online business strategy information, some users, in business furniture products are confused choosing product according to the wishes of the buyer Therefore, research is made with the aim of making it easier for users, especially in the field of furniture product business to determine the desired product by implementing a recommendation system on the furniture store website which is taken from the amount of data, this data can be in the form of databases. this is also beneficial for shop owners because with this recommendation system it can help as a means of promoting products that are not selling well. the recommendation system uses the a priori algorithm method with data mining techniques, namely association rules.
Synthesis of reversible circuits consisting of NOT, CNOT and 2-CNOT gates with small number of additional inputs

Article Synthesis of reversible circuits consisting of NOT, CNOT and 2-CNOT gates with small number of additional inputs was published on December 1, 2022 in the journal Discrete Mathematics and Applications (volume 32, issue 6).
IMPACT OF SERVICE TRANSPARENCY AND SERVICE CONTROL ON COMPETITIVENESS

The successful business organizations simply concentrated on their purpose, mission, vision, and goals, and they established open business practices to quench their clients and get the best opportunities to compete with their competitors by offering superior customer service and future orientations. The foundational component of businesses is transparency at all levels, which helps the company gain a significant amount of consumer confidence for both its commercial and residential solutions. These businesses continually assess their rivals' innovative business strategies and client success rates. A systematic review is embracing the research to improve understanding of the impact of service transparency and service control on competitiveness in order to present the literature-based evidence.
A Comparative Study of Learning Models in Improving Reading Comprehension Skills in Elementary School

This research study aimed to determine: the effect of Contextual learning model on 5th grade students’ reading comprehension skills; the effect of SAVI learning model on 5th grade students’ reading comprehension skills; which learning model that can be used to improve these 5th grade students’ reading comprehension skills. A total number of 50 students of grade 5 from two ‘A’ accredited Public Elementary Schools in Tangerang, Indonesia, participated in this study. This quantitative study applied quasi-experimental research design and used validated pre- and post-tests of reading comprehension as the instruments to collect the data. Statistical analysis of both t-test and ANOVA test was used in analysing the data. The results of t-test revealed that both computation of SAVI and Contextual learning models gained smaller sig value (2-tailed) than 0.05 which also confirmed that these two learning models gave significant effect on reading comprehension skills of the students. Additionally, the average achievement reached by the students who were taught reading comprehension by SAVI was 81.54 and those who were taught by Contextual learning model was 83.12. These findings indicated that Contextual learning model was more effective to be used in improving students’ reading comprehension skills.
ANALYSIS OF THE POSSIBILITY OF USING THE SINGULAR VALUE DECOMPOSITION IN IMAGE COMPRESSION

In today’s highly computerized world, data compression is a key issue to minimize the costs associated with data storage and transfer. In 2019, more than 70% of the data sent over the network were images. This paper analyses the feasibility of using the SVD algorithm in image compression and shows that it improves the efficiency of JPEG and JPEG2000 compression. Image matrices were decomposed using the SVD algorithm before compression. It has also been shown that as the image dimensions increase, the fraction of eigenvalues that must be used to reconstruct the image in good quality decreases. The study was carried out on a large and diverse set of images, more than 2500 images were examined. The results were analyzed based on criteria typical for the evaluation of numerical algorithms operating on matrices and image compression: compression ratio, size of compressed file, MSE, number of bad pixels, complexity, numerical stability, easiness of implementation.
An Implementation of a Sensor Blockchain Network

Abstract Considering the exponential growth of Industry 4.0, more and more devices and sensors are encapsulated in standard networks. Devices and sensors are supplying data for the decisions to be made, but this can also represent breaches in the system and can be used to conduct malfunctions over the entire system. This work presents an implementation of a decentralized system overlaid to a classic HTTP network. This methodology allows accepting data only from sensors inside the network. In this implementation, we will read with simulated sensors (using Python) the load on a CPU and send the data to the blockchain network. We will assign to every sensor a blockchain account used in sending and then identifying the data source. Using the advantages of the blockchain is securing the network, the final implementation being less susceptible to attacks such as man in the middle. This research highlights the differences (and their costs) between a bare HTTP network and the presented implementation in a matter of security and costs.
Software MVN Studio PRO (Xsens): funcionalidades e aplicações em projetos de design de tecnologia assistiva e ferramenta manual para a mandiocultura.

technology and cassava sectors.
Multimedia Principles Applied to a Virtual Reality Application Design for Procedural Learning

Designing immersive learning environments based on simulations has evolved into a tool for practicing procedures in fields such as industrial safety. This document describes the design of a virtual reality learning environment for the practice of safe bench saw use in the carpentry workshops of the Industrial Design Program at Universidad Industrial de Santander (Colombia). The user interface was created using the multimedia principles of spatial contiguity, temporal contiguity, redundancy, and signaling from the Four-Components Instructional Design Model. The qualities mentioned have ties to the 4C/ID model's elements, learning tasks, procedural information, support information, and practical tasks, which allowed for their incorporation into the user interface elements of a virtual reality environment. A design for evaluating the prototype is also presented in order to assess how well it performs in terms of teaching students who use the learning environment how to use the machine safely.
Sentiment Analysis And Topic Modeling on User Reviews of Online Tutoring Applications Using Support Vector Machine and Latent Dirichlet Allocation

&lt;p&gt;Ruangguru is an online non-formal education application in Indonesia. There are several appealing features that encourage students to study online. The app's release on the Google Play Store will assist app developers in receiving feedback through the review feature.Users submit various topics and comments about Ruangguru in the review feature of Ruangguru, making it difficult to manually identify public sentiments and topics of conversation. Opinions submitted by users on the review feature are interesting to research further. This study aims to classify user opinions into positive and negative classes and model topics in both classes. Topic modeling aims to find out the topics that are often discussed in each class. The stages of this study include data collection, data cleaning, data transformation, and data classification with the Support Vector Machine method and the Latent Dirichlet Allocation method for topic modeling. The results of topic modeling with the LDA method in each positive and negative class can be seen from the coherence value. Namely, the higher the coherence value of a topic, the easier the topic is interpreted by humans. The testing process in this study used Confusion Matrix and ROUGE. The results of model performance testing using the Confusion Matrix are shown with accuracy, precision, recall, and f-measure values of 0.9, 0.9, 0.9, and 0.89, respectively. The results of model performance testing using ROUGE resulted in the highest recall, precision, and f-measure of 1, 0.84, and 0.91. The highest coherence value is found in the 20th topic, with a value of 0.318. Using the Support Vector Machine and Latent Dirichlet Allocation algorithms are considered adequate for sentiment analysis and topic modeling for the Ruangguru application.&lt;/p&gt;
Social and educational risk factors in Ecuadorian indigenous children during the COVID-19 pandemic

The effects on education due to the COVID19 pandemic are quite complex and exposed the existing digital divide. In this sense, an analysis of academic activities in Ecuadorian children between 5 and 14 years of age is carried out, with the aim of identifying the technological needs and socioeconomic factors that have a negative impact on the learning process. The 2020 national survey of employment, unemployment and underemployment was used, with a sample of 3'733,950 inhabitants in that age range, performing a risk analysis based on contingency tables and correlation analysis using chi-square test, the factors analyzed were: connectivity, class attendance, socio-cultural factors, child labor and access to ICT. A strong relationship was identified between the risk of child labor and poverty in indigenous children, resulting in a decrease in educational opportunities.
SISTEM INFORMASI ADMINISTRASI PEMBAYARAN SEKOLAH TERINTEGRASI BARCODE READER DENGAN METODE BERORIENTASI OBJEK BERBASIS CLIENT SERVER

Recording financial transactions is an important activity that must be carried out by a business. In accounting, recording financial transactions is a fundamental thing that must be done. With these records, all business financial transactions can be accounted for and brought to the financial statements. Computerized technology using barcodes in payment transactions has the aim of increasing speed, accuracy, and service quality. In carrying out payment administration activities still using the manual system will have an impact on the Administrative officer having difficulty finding data on students who want to pay and the network (LAN) has not been implemented on the computer is also a problem at the research site, because to share data with the treasurer and principal becomes constrained, data can be damaged, lost or misused because its security is not guaranteed.&#x0D; In solving these problems, the researchers collected data and facts that existed at the research site, then designed a payment administration information that was in accordance with the needs of the school. In making Administrative Information System Integrated With Barcode Reader, researchers used Microsoft Visual Basic 6.0 programming language, MySQL Server database as data storage media and Subtime Text as tools to create source code. In the preparation of this application using object-oriented methods.&#x0D;