Reviewerly/exHarmony huggingface dataset:
Penggunaan Metode Jarimatika Dalam Meningkatkan Kemampuan Berhitung Perkalian Dasar

This study aims to determine the increase in students' numeracy skills on basic multiplication material through the jarimatics method in class II SD Muhammadiyah I Menganti Gresik. This research was conducted in class II of SD Muhammadiyah 1 Menganti Gresik for the 2022/2023 academic year. which totaled 26 students, consisting of 15 male students, and 11 female students. The research lasted for one month, from January 10 to February 10 2023. In collecting data, researchers used observation, testing and documentation techniques. The instruments used were observation sheets and learning achievement test sheets. The results showed that the jarimatics method could improve students' numeracy skills in basic multiplication material in class II Muhammadiyah 1 Menganti Gresik Elementary School. This can be proven based on the percentage results from cycle I to cycle II. In the pre-cycle there were only 12 students who achieved the minimum completeness criteria with a percentage of 46%, while those who did not complete were 14 students with a percentage of 54%. In cycle I there were 16 students who succeeded in achieving minimum completeness with a percentage of 65%, and students who had not completed as many as 10 students so that they achieved a percentage of 38%. From the results of the pre-cycle to cycle I, it increased by a percentage of 16%. Whereas in cycle II, there were 23 students out of a total of 26 students who achieved the minimum completeness criteria, so the percentage of students who completed was 88%, while the number of students who had not reached the minimum completeness criteria was 3 students with a percentage of 12%. So, learning outcomes from cycle I to cycle II increased by 62%.
Identifikasi Arsip Digital dengan Pendekatan Machine Learning

The development of archive digitization technology, especially cameras, is an advantage for archive users. On the other hand, the ease of falsifying by digitizing records for a particular purpose is a problem for archivists in authenticating digital records. The purpose of this study is to identify digital sources, especially cameras as one of the tools applied in the archive digitization process. The research methodology combines clustering and classification in machine learning to determine 6 brands of cellphone cameras. The total data used in this experiment is 2400 archived digital images. The experimental results show that the identification rate of classification accuracy is 99%. This shows that this study is very effective in determining the authentication of digital archives, especially determining the source of the camera.
Ways to form practical skills in students using the «Geogebra» program in teaching algebra

Training through special computer resources as ways to form practical skills in students based on the use of the «Geogebra» program in teaching algebra is an urgent problem of our time. The article showed the results of research work on the use of the geogebra program in mastering the topic of quadratic functions in the discipline algebra of the 8th grade in the intensive implementation of the work on constructing graphs of the sought-after functions using a special graphical environment. Scientific research was carried out on the basis of school-gymnasium No.1 in Kentau. In the course of conducting a scientific study within the framework of the topic, a pedagogical experiment was organized among 8th grade students, control research methods were used, and students were surveyed. In the school mathematics course, students practical skills were formed using digital technologies. During the lesson, the Geogebra program was used. The result of scientific research can be used in teaching a course of Mathematics at school as a methodological guide for mathematics teachers or as an additional material for students. With the help of this instruction, you can quickly achieve results during the course of the lesson. Using the search experience, methodological kits for use in mathematics lessons and auxiliary materials for teachers related to the Geogebra program were developed. Within the framework of the «Geogebra» program, using the control method during the lesson, a control and an experiment on the release of reports were carried out.
Detecting Fake Reviews in E-Commerce Platform

Online reviews in modern businesses and e-commerce platforms are influential and this is an important factor for customers.Potential buyers heavily rely on user's feedback when deciding whether or not to purchase products online.Unfortunately, there are some unscrupulous individuals and organizations that attempt to manipulate these reviews to suit their interests.As a result, fake reviews increase and mislead customers/buyers.To address this issue, a proposed solution involves the implementation of an e-commerce platform that utilizes an NLP algorithm to analyze the features and sentiments of reviews and a data science algorithm to classify any fraudulent text.The proposed system contains a review detection model within an e-commerce application, where customers may register, view products, and make purchases.As customers buy products, they post reviews and ratings.Using these inputs, the model is able to classify given reviews as false or true using KNN classification algorithm.
Pengembangan Vaksin Malaria RTS,S/AS01

Malaria masih endemik di dunia. Data WHO tahun 2020 mencatat 241 juta kasus malaria di dunia. Rekomendasi vaksin malaria oleh WHO diharapkan dapat membantu menurunkan angka kasus penderita malaria hingga 90% pada tahun 2030 dari baseline tahun 2015. Malaria is still a world endemic. According to 2020 WHO data, there are 241 million cases of malaria in the world. The WHO malaria vaccine recommendation is expected to help reduce malaria cases by 90% by 2030 from the 2015 baseline.
Adolescents’ Cognitive Abilities, Reaction Time, and Working Memory Performance by Vienna Test Systems

Abstract - Mental and physical health components are critical in child’s development. However, adolescents are especially vulnerable group presenting multiple health risks of chronic disease, sleeping and eating problems. Moreover, the long time spent at screens increases possibility to develop addictions. There is a lack of comprehensive interdisciplinary assessment tools for adolescents, to assess their mental health components, and provide preventive activities. It is very important to develop a methodology that can accurately assess the minor cognitive and health deviations that can be caused by an unhealthy lifestyle and excessive time spent on screens. This research explores the possibilities to record and compare parameters of cognitive abilities, reaction time, and working memory using Vienna test systems for different groups of adolescents by their physical activity and health levels. The results of this study demonstrated that the reaction time in adolescents was shorter using the leading hand in comparison with using the non-leading hand, 272.842±44.001ms vs 306.631±57.081ms on Vienna test for low physical activity (LPA) adolescents group. In the STROOP test color evaluation results were faster than word reading test results. The median of reaction time of LPA adolescents for color evaluation was 0.897±0.221ms and 0.968±0.15ms for reading. Vienna test system has specific tests that can be used to determine memory parameters, providing different assessment approaches to compare the obtained results. Group of adolescents with mild chronic health conditions performs statistically significantly lower parameter in particular tests in comparison with adolescents with low and high physical activity.
Audio to Sign Language Translator

Abstract: This project is based on converting the audio signals receiver to text using speech to text API. Speech to text conversion comprises of small, medium and large vocabulary conversions. Such systems process or accept the voice which then gets converted to their respective text. This paper gives a comparative analysis of the technologies used in small, medium, and large vocabulary Speech Recognition System. The comparative study determines the benefits and liabilities of all the approaches so far. The experiment shows the role of language models in improving the accuracy of speech to text conversion system. We experiment the speech data with noisy sentences and incomplete words. The results show a prominent result for randomly chosen sentences compared to sequential set of sentences
On some relations of SCA-related properties of S-box under the Hamming weight leakage mode

Abstract— Physical implementations of cryptographic algorithms are vulnerable to so-called side-channel attacks, in which sensitive information can be recovered through the analysis of the leakages produced by the operating device. In the particular case of block ciphers, substitution boxes are often the target of such attacks, as they are the main nonlinear component of the cipher. Literature survey contains some definitions of theoretical properties to measure the resistance provided by substitution boxes with respect to the imminent threat of side-channel attacks. The fundamental questions we board in this paper are: are all these properties related? And if so, what can we tell of their relation? We pretend to bring some clarification to this subject using some well-known side-channel related properties of S-box.
Efficient multiplication of a vector by a matrix MDS

Abstract— An algorithm is proposed for the efficient multiplication of a vector by an n x n MDS matrix defined on Fq or by its inverse. The algorithm is based on the multiplication of two polynomials modulo a polynomial of degree n Reed-Solomon code generator and has complexity O(nlog2log2(nlog2q)). The algorithm only needs to store n values of the Fq field for the multiplication of a vector by an n x n MDS matrix and 2n values for the multiplication of the vector by the inverse matrix.
Students' Perception of Developing Bilingual Material for The Tourism Industry

There exists research about developing books, websites, and other beneficial tools using bilingual language to support learning media or the tourism industry. However, limited studies explore the perceptions of the people who developed bilingual applications, websites, or learning media. This study aimed to accommodate students’ perceptions while developing bilingual applications, websites, or learning media. The participants are D-4 English for Tourism Industry students at the State Polytechnique of Malang. It was conducted qualitatively. The data were gathered from the questionnaire, interview, and documents. The result showed that most of them had positive perceptions of developing bilingual material. However, they had difficulties translating specific words or phrases and faced obstacles in following up the application of bilingual products they had made. By knowing their perceptions on translating the text, developing the bilingual product, and applying the product, hopefully, the future researcher will face fewer obstacles in developing bilingual material, especially for the tourism industry.&#x0D; Keywords: bilingual approach, students’ perceptions, tourism industry
Indonesian Tour Guide's Bilingual Experiences in Malang: A Narrative Inquiry Study

`The purpose of this study was to explore the experiences of a bilingual Indonesian tour guide in guiding foreigners coming to Malang, Indonesia. More specifically, this study intended to explore the challenges and strategies in learning and applying two languages. Narrative inquiry is employed in this study to examine the participant’s experiences before and after learning and practicing two languages. This study used a qualitative research design in which the data is described in the form of a description. The research instrument was in the form of open-ended interviews. The participant of this research is a senior tour guide who lives in Malang. The findings of this narrative inquiry indicated that less practice could hinder the participant in applying the two languages and hinder the participant from communicating with foreigners. To cope with the challenges, the participant applied communication strategies by self-taught learning and practice. The study suggests it is crucial to always use and practice the languages, especially for native speakers, to master them.&#x0D; Keywords: bilingualism, learning strategies, narrative inquiry
Can Duolingo Help People Master a Foreign Language?

Being bilingual has long been considered an advantage over monolingual speakers. People no longer view being able to communicate in one language as more prestigious, showing that the language is superior and the speakers do not need to master another language. Most people now want to be able to communicate in a second or third language, and they learn other languages, either by taking classes, learning independently or through applications. One of the most popular apps for learning a second, or foreign language, is Duolingo. This paper will discuss the potential of Duolingo to help people (the users) become bilinguals.&#x0D; Keywords: bilingual, applications, Duolingo
A Brand-New, Area - Efficient Architecture for the FFT Algorithm Designed for Implementation of FPGAs

Elliptic curve cryptography, which is more commonly referred to by its acronym ECC, is widely regarded as one of the most effective new forms of cryptography developed in recent times. This is primarily due to the fact that elliptic curve cryptography utilises excellent performance across a wide range of hardware configurations in addition to having shorter key lengths. A High Throughput Multiplier design was described for Elliptic Cryptographic applications that are dependent on concurrent computations. A Proposed (Carry-Select) Division Architecture is explained and proposed throughout the whole of this work. Because of the carry-select architecture that was discussed in this article, the functionality of the divider has been significantly enhanced. The adder carry chain is reduced in length by this design by a factor of two, however this comes at the expense of additional adders and control. When it comes to designs for high throughput FFT, the total number of butterfly units that are implemented is what determines the amount of space that is needed by an FFT processor. In addition to blocks that may either add or subtract numbers, each butterfly unit also features blocks that can multiply numbers. The size of the region that is covered by these dual mathematical blocks is decided by the bit resolution of the models. When the bit resolution is increased, the area will also increase. The standard FFT approach requires that each stage contain times as many butterfly units as the stage before it. This requirement must be met before moving on to the next stage.
Language Used in The International Class Program at The Elementary School Level

This study aimed to determine the classroom language used in the International Class Program for a private elementary school in Malang city, Indonesia. This qualitative research involved three teachers who taught subjects of Math, Science, and English with English as a medium of instruction. The results showed that the classroom language used by the teachers was in the forms of giving directions, asking questions, discussing, and expressing agreement and disagreement. Also, some teachers have tried using action verbs in Bloom’s Taxonomy to foster higher-order thinking skills while teaching in class. However, some teachers still used Indonesian extensively to give directions and instructions. Therefore, continuous training in English Language proficiency and English as a medium of Instruction pedagogy must be established to strengthen International Class Program teachers’ skills.&#x0D; Keywords: classroom language, International Class Program, Elementary school
Effects of Instructional Materials on Literacy Levels of Learners among Primary Schools in Helsinki, Finland

Instructional materials are many different tools and resources used by teachers to facilitate learning and encourage the learning process. The study sought to examine the effects of instructional materials on literacy levels of learners among primary schools in Helsinki, Finland. Learner-centered instructional materials encourage meaningful learning and makes learning more enjoyable. Nowadays primary school entry ages make it extremely convenient to employ instructional materials. Literacy is the ability to read, write, talk and listen in a manner that enables people to successfully communicate and make sense of the outside world. Literacy is highly valued in Finland, where over half of all young children can read before entering school. At the pre-school level, play-like activities and emergent literacy are prioritized. The study used the descriptive research design. The target population was 30 primary schools in Helsinki, Finland. The research did sampling of 15 participants that were chosen from the target population of 30 primary schools in Helsinki, Finland. Questionnaires were utilized to gather the data. The study concluded that instructional materials have a significant impact on the literacy levels of learners. The quality and relevance of instructional materials can affect how well learners comprehend and retain information, and ultimately, their ability to read, write, and communicate effectively. Effective instructional materials should be designed with the learner in mind, taking into account their age, reading level, cultural background, and learning style. The study recommended that the government should set aside enough funds to increase the number of instructional materials in primary schools. The government should locate materials centers to make it easier for teachers to borrow or collect teaching materials that are unavailable in primary schools. Keywords: Instructional Materials, Literacy Levels, Learners, Schools, Finland
The Coincidence of the Bruhat Order and the Secondary Bruhat Order on $$\mathcal {A}(n,k)$$

Given a positive integer n and a nonnegative integer k with $$k\le n$$ , we denote by $$\mathcal {A}(n,k)$$ the class of all n-by-n (0, 1)-matrices with constant row and column sums k. In this paper, we show that the Bruhat order and the secondary Bruhat order coincide on $$\mathcal {A}(n,k)$$ if and only if either $$0\le n\le 5$$ or $$k\in \{0,1,2,n-2,n-1,n\}$$ with $$n\ge 6$$ .
“CHATBOT MOVIE RECOMMENDATION SYSTEM”

A movies recommendation chatbot is an essential component of developing an effective and reliable platform for users.The chatbot should be able to provide impressive movie recommendations depending on user preferences, such as genre, year of release, language, director, actor/actress, rating and other variables.The abstract should detail the specific features of the chatbot that make it unique and more convenient than other movie recommendation platforms.Integration with various databases such as IMDB will aid in providing accurate and sufficient recommendations without causing delays by taking advantage of state-of-the-art machine learning algorithms ensuring quality service delivery.Incorporating human-like dialogue structure and suggestions built on past movies recommended can further improve user satisfaction levels.By providing comprehensive information in the abstract about a movie recommendation chatbot's design and functionality, developers can ensure more successful implementation while allowing audiences to have tailored entertainment options readily available at their fingertips.
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor by Naive Bayes Algorithm over Support Vector Machine Algorithm with Improved Accuracy

Aim: This research aims to determine the presence of breast cancer using Machine learning techniques and improving the accuracy of breast cancer prediction. Materials and Methods: This study is done on the data obtained from the UCI Machine Learning Repository and is used to acquire the data sets for the research of Innovative breast cancer prediction using machine learning algorithms. Naive Bayes (N=20) and Support vector machine (N=20) with sample size in accordance to total sample size calculated using clincalc.com by keeping alpha error-threshold at 0.05, confidence interval at 95%, enrollment ratio as 0:1, and power at 80%. Results: The Naive Bayes algorithm results in an accuracy of 92.25% with P=0.001,p&lt;0.05 a sensitivity of 95.53% with P=0.001,p&lt;0.05 and a precision of 90.87% with P=0.001,p&lt;0.05. Support vector machine algorithm results in mean accuracy of 97.50%, sensitivity of 95.83%, and precision of 100%. Conclusion: Support vector machine (SVM) algorithm performed significantly better than Naive Bayes (NB) algorithm with improved accuracy of 97.50% for Innovative breast cancer prediction.
Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor by Linear Discriminant Analysis Algorithm over Support Vector Machine Algorithm with Improved Accuracy

Aim: The objective of this study is to use machine learning algorithms to detect the presence of breast cancer tumors and compare accuracy, sensitivity, and precision between the Linear Discriminant Analysis (LDA) and Support vector machine algorithm (SVM). Materials and Methods: The research uses two sets of data from the Wisconsin Breast Cancer dataset, which is obtained from the UCI Machine Learning Repository. Linear Discriminant Analysis (N=20) and Support vector machine (N=20) with sample size in accordance to total sample size calculated using clincalc.com by keeping alpha error-threshold at 0.05, confidence interval at 95%, enrollment ratio as 0:1, and power at 80%. The accuracy, sensitivity, and precision are calculated using MATLAB software. Results: Comparison of accuracy (%), sensitivity (%), and precision (%) are done using SPSS software using independent sample t-test. Linear Discriminant Analysis algorithm results in an accuracy of 88.25% (p&lt;0.001), the sensitivity of 94.68% (p&lt;0.001), and precision of 84.35% (p&lt;0.001). Support vector machine algorithm results in an accuracy of 97.50%, sensitivity of 95.83%, and precision of 100%. Conclusion: Support vector machine algorithm performed significantly better than Linear Discriminant Analysis algorithm with improved accuracy of 97.50% for breast cancer prediction.
Prediction of Heart Disease using Forest Algorithm over Decision Tree using Machine Learning with Improved Accuracy

Aim: To predict the heart disease using Forest Algorithm and comparing it with Decision Tree algorithm for improving the accuracy in predicting heart disease. Methods and Materials: Anticipating coronary illness expectation was completed utilising machine learning calculations, for example, Forest Algorithm and Decision tree. Here the pretest power analysis was carried out with 80% and the sample size for the two groups are 20. Results: Forest Algorithm accuracy is 90.00% while the Decision Tree algorithm has shown an accuracy of 85.00%. There is a measurable 2-tailed significant distinction in exactness for two calculations is 0.001 (p&lt;0.05) by performing independent samples T-tests. Conclusion: The Forest Algorithm accuracy is more significant and more accurate than the Decision Tree for predicting heart disease.