Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK ELEKTRONIK (E-LKPD) MENGGUNAKAN APLIKASI KVISOFT FLIPBOOK MAKER PADA MATA PELAJARAN EKONOMI

This development research aims to develop Electronic Student Worksheets (E-LKPD) using the Kvisoft Flipbook Maker application in Economics Subjects, analyze feasibility, analyze learning outcomes and analyze student responses to Electronic Student Worksheets (E-LKPD) using the application Kvisoft Flipbook Maker on Economics Subjects. This R&amp;D research uses a 4D model with define, design, develop, and disperse stages. The research subjects were students of class XI IPS 3 at SMAN 15 Surabaya. The results of the validity of the experts obtained a feasibility average recapitulation of 92.52% with a very feasible interpretation. The score obtained from material experts was 93.39% with very proper interpretation, 87.27% for linguists with very feasible interpretation, and 96.92% for media experts with very proper interpretation. The effectiveness of student learning outcomes gives an effective influence and the student's response to the product shows the criteria are very well understood with a proportion of 93.62%. The conclusions obtained refer to the results of the study that this teaching material is very suitable for use as a learning resource for students.
PENGARUH KEIKUTSERTAAN DALAM KEGIATAN EKSTRAKURIKULER TERHADAP PRESTASI BELAJAR MELALUI KEDISIPLINAN BELAJAR SISWA SEKOLAH MENENGAH ATAS

This study explores the impact of student participation in extracurricular activities on learning achievement mediated by learning discipline. This research was conducted at SMA Negeri 1 Seberida, Indragiri Hulu Regency, with a sample of 30 students in class XI IPS. This research uses a quantitative approach with descriptive quantitative research type, the data analysis used to test the hypothesis is path analysis. The results showed that extracurricular activities have a positive but insignificant direct and indirect effect on learning achievement mediated by student discipline. The results of this study confirm previous research which states that there is a positive and significant effect of participation in extracurricular activities on discipline and learning achievement. However, this study was able to show that discipline and learning achievement can be controlled by school management policies in maintaining student discipline and achievement.
Improved Gadgets for the High-Order Masking of Dilithium

We present novel and improved high-order masking gadgets for Dilithium, a post-quantum signature scheme that has been standardized by the National Institute of Standards and Technologies (NIST). Our proposed gadgets include the ShiftMod gadget, which is used for efficient arithmetic shifts and serves as a component in other masking gadgets. Additionally, we propose a new algorithm for Boolean-to-arithmetic masking conversion of a μ-bit integer x modulo any integer q, with a complexity that is independent of both μ and q. This algorithm is used in Dilithium to mask the generation of the random variable y modulo q. Moreover, we describe improved techniques for masking the Decompose function in Dilithium. Our new gadgets are proven to be secure in the t-probing model.We demonstrate the effectiveness of our countermeasures by presenting a complete high-order masked implementation of Dilithium that utilizes the improved gadgets described above. We provide practical results obtained from a C implementation and compare the performance improvements provided by our new gadgets with those of previous work.
Quickly Understanding of Needs and Issues of Undergraduate University Students in Listening Comprehension: A Need Analysis to develop Assisted-Social Media Learning Material

Using social media in teaching listening requires creativity and modification in order to be suitable for learning. The aim of this research is to identify the learners' need for developing assisted-social media learning material in listening comprehension course at the Islamic University of Riau, Indonesia. The study involved undergraduate students taking listening comprehension subject who were selected through cluster random sampling. Along with the students, 5 lecturers were also involved. The instruments used in this study were questionnaire, interviews guide, and observation sheet. The questionnaire was centered on two main categories: Target need analysis and learning need analysis, drawing on the theoretical framework of Hutchinson and Waters (1987). Both analysis results revealed that the challenges faced by students while learning listening comprehension with the help of social media have a notable influence, mainly because of the discrepancy between the anticipated methods of learning and the actual internal factors that drive students to acquire effective listening skills. This situation is likely to contribute to the enhancement of their speaking abilities to meet their specific goals. As a result, meeting these goals requires additional support in terms of psychological, motivational, and material aspects. Overall, these findings provide valuable insights for designing and developing a tailor-made English learning material assisted by social media that meets the specific needs of the learners in the future particularly in listening comprehension course.
Scientific Discoveries and Inventions of Lee de Forest, which Contributed to the Progress in Radio Tube Technology and Social Development

The scientific discoveries and inventions of Lee de Forest, which left a noticeable mark in radio tube technologies and society, are considered and analyzed. De Forest’s struggle for priority in opening feedback in an audio frequency amplifier is described. The superiority of de Forest in recording sound on film based on the Phonofilm technology invented by him was noted. It is shown how in the dramatic life of de Forest there was a place not only for scientific research, but also for love for women.
Unmanned Aerial Vehicles: An Overview

Unmanned aerial vehicles, commonly referred to as drones, as the name suggests can be operated without human presence on board. UAV commonalities are growing rapidly in today’s world as their practicality in solving real-world issues is beyond beneficial in terms of efficiency and sustainability. This paper will go into depth about the practical aspects, applications, open challenges, security threats and future scope in drone technology.
Hör-Sehen Strategy to Improve Text Understanding in Learning German for Beginners

Abstract. This study investigates the use of the Hör-Sehen strategy in improving students' ability to understand texts in the Receptive course of the German language. This strategy combines what is heard and what is seen (e.g. an audio-visual technique), making it easier for students to understand the content of the text. This research used a mixed methods research design, combining descriptive quantitative and qualitative methods of a Concurrent embedded research model. The data collection techniques used in this study consisted of observation, pre-test implementation, experiment implementation, post-test implementation, questionnaire distribution, and student response questionnaire. Respondents in this study amounted to 30 students of the German language education study program who were at the beginner level. The results show that applying the Hör-Sehen strategy has a statistically significant positive influence on the ability to understand German texts in beginning learners in the Receptive course. The results of the interviews and questionnaires show that using this strategy can focus students' thinking and make them interested and motivated to take part in the learning process. The other results show that the students understand the information contained in the texts, can offer an interpretation, and provide reflection and assessment of a text through exercises and assignments, which are structured according to the steps in this strategy and form an initial understanding of difficult vocabulary in the textKeywords: Language Ability, Text Understanding, Beginning Language Learners, German, Hör-Sehen Strategy
Students’ Perceptions and Attitudes towards the Utilization of Duolingo in EFL Learning

Education sector in the 21st Century has continuously changed and relied more on technology. The evolution of the use of technology in education leads to the emergence of gamification. Duolingo is a language learning platform that provides free language courses through web and mobile apps that instills gamification aspects. The objective of this study is to investigate the students’ perceptions and attitudes towards the utilization of Duolingo in EFL learning. This descriptive study involved twenty students of a non-English education study program through purposive sampling technique. The criteria of selecting the participants were based on the participation in English Learning class and the active use Duolingo for English practice outside the course hours. The researchers employed a questionnaire and an interview to collect the data. The data of the questionnaire were analyzed quantitatively through simple percentage analysis of SPSS. Meanwhile, the data of the interview were analyzed qualitatively through Miles, et al. Model consisting of collection, classification, description, interpretation, and conclusion. The results revealed that the students provided positive feedbacks towards thirty statements of questionnaire and three questions of interview that representing their perceptions and attitudes towards the utilization of Duolingo in EFL learning. The students believed that learning English through Duolingo was easy, fun, engaging, and motivating. In short, the students had positive perceptions and attitudes towards the utilization of Duolingo in EFL learning.
THE EFFECT OF MEDIA LEAFLET ASSISTED STAD LEARNING MODEL ON STUDENTS' COGNITIVE LEARNING OUTCOMES AT SMA NEGERI 3 WAINGAPU

This thesis aims to determine the impact of applying the type of STAD assisted through leaflet media on the sophistication of the latest knowledge on the impact of class XI IPA 2 students at SMA Negeri 3 Waingapu. This type of research is an examination with a quantitative strategy, sampling using purposive sampling. The population of this study is all students of class XI IPA SMA Negeri 3 Waingapu even semester 2022/2023. This data pattern is that 36 students of XI IPA 1 experienced improvements due to increased elegance and 36 students of XI Science 2 due to experiments. The consequence of the descriptive assessment obtained stated that the pretest and posttest values for the experimental luxury were 53.52 &lt; 84.58 at the same time as the pretest and posttest scores for the control were 52.69 &lt; 75.83. Then the arrests were examined using paired t samples. the test produces an Asymp sig (2-tailed) of 0.000 which means &lt;0.05. The version of STAD type mastery assisted by leaflet media has an effect on students.Keywords : STAD Version, Leaflets, Cognitive Learning Outcomes AbstrakPenelitian ini bertujuan untuk mengetahui pengaruh model kooperatif tipe STAD berbantuan media Leaflet terhadap hasil belajar siswa kelas XI MIPA2 SMA Negeri 3 Waingapu. Jenis penelitian ini adalah eksperimen dengan pendekatan kuantitatif, pengambilan sampel menggunakan purposive sampling. Populasi dalam penelitian ini adalah seluruh siswa kelas XI MIPA SMA Negeri 3 Waingapu semester genap tahun ajaran 2022/2023. Sampel penelitian ini adalah 36 siswa kelas XI MIPA1 sebagai kelas kontrol dan 36 siswa kelas XI MIPA2 sebagai kelas eksperimen. Hasil analisis deskriptif yang diperoleh menunjukkan bahwa nilai pretest dan posttest kelas eksperimen adalah 53,52 &lt; 84,58 sedangkan nilai pretest dan posttest kelas kontrol adalah 52,69 &lt; 75,83, kemudian dilakukan pengujian hipotesis dengan menggunakan sampel t berpasangan. pengujian menghasilkan nilai Asymp, sig (2-tailed) 0,000 artinya nilai tersebut lebih kecil dari 0,05. Dapat disimpulkan bahwa model pembelajaran kooperatif tipe STAD berbantuan media Leaflet berpengaruh terhadap hasil belajar siswa.Kata Kunci : Model Pembelajaran, STAD, Leaflet, Hasil Belajar
ESP Need Analysis of Computer and Network Engineering in Vocational High School

A vocational school is an educational institution that focuses on providing students with practical skills and training for specific careers or professions. Unfortunately, the English lessons given to vocational schools still follow the same English as English in general high school which does not support their needs in their specific major resulted in gaps in English skill for vocational students. The gaps between secondary schools teaching English and vocational schools in terms of resources, curriculum, and even infrastructure. Examining the ESP of computer and network engineering in vocational high school was the aim of this study. As research tools for this study, a questionnaire about needs analysis, analysis of textbooks, and analysis of interviews were used. The findings indicated that in vocational schools, ESP teaching and learning based on the school program is needed by both students and teachers. The poor value of English language proficiency, particularly ESP in vocational schools, is due to a number of factors, including a lack of ESP for computer and network engineering starting from the content, such as textbooks, suitable school facilities, and even the competence of teachers to teach ESP.
Content Resonating in Memory

Much of day-to-day behavior is routine and requires no more than activating existing behavior programs. However, when faced with an exceptional situation, the agent’s cognition should be able to search memory for previous experiences which happen to be suitable for being adapted to the task at hand.
Parallel Corpus Filtering for Japanese Text Simplification

We propose a method of parallel corpus filtering for Japanese text simplification. The parallel corpus for this task contains some redundant wording. In this study, we first identify the type and size of noisy sentence pairs in the Japanese text simplification corpus. We then propose a method of parallel corpus filtering to remove each type of noisy sentence pair. Experimental results show that filtering the training parallel corpus with the proposed method improves simplification performance.
Encouraging Trust In Social Media And Social Commerce Intention: Do Informational Support And Emotional Support Matter?

Social media has transformed into social commerce; therefore, a greater understanding of social commerce is crucial. As a social media site, TikTok earns more profit through its social commerce, TikTok Shop. This study examines the influence of informational and emotional support on trust in social media and social commerce intention. A survey was conducted among 242 TikTok Shop users, and the data was analyzed using structural equation modeling. In this study, it is revealed that informational support affects trust in social media significantly but that informational support does not influence social commerce intention. Moreover, both trust in social media and social commerce purposes were influenced considerably by emotional support. Finally, trust in social media mediates the relationship between informational support and s and between emotional support and social commerce intention.&#x0D; Keywords: Informational support; Emotional support; Trust in social media; Social commerce intention.
Comparison Of Artificial Neural Network Backpropagation and Garch Methods In Predicting Stock Price (Case Study: Indosat Shares 2012 – 2022)

Abstract: One of the problems encountered in the forecasting process is the problem of heteroscedasticity. Heteroscedasticity occurs a lot, especially in stock data. Pt Share Price Indosat (tbk) from March 6 2012 – January 18 2022 has fluctuated from time to time, so the variance is heteroscedasticity. The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and Artificial Neural Network Backpropagation (ANNBP) are methods that can be used on data with heteroscedasticity. The aim of this research is to obtain models and forecasting results from GARCH and ANN Backpropagation. In this study, the two models were compared based on the smallest MAPE value. This study uses daily data on the closing of Indosat shares. Forecasting is done on Indosat stock closing data, the total data is 2453 data divided into two parts, namely 80% training data totaling 1962 data and 20% training data totaling 491 data. Forecasting results from the GARCH model obtained a MAPE value of 11.04%, and the ANN Backpropagation model with 7 input layers, 20 hidden layers, obtained a MAPE value of 7.01%. Thus, the best model for predicting Indosat's share price in this study is the backpropagation model.
FOOD MENU ARRANGEMENT RECOMMENDATIONS USING TRANSACTION HISTORY DATA USING THE APRIORI METHOD (CASE STUDY: BEBEK PONDOK GALIH)

REKOMENDASI PENATAAN MENU MAKANAN MENGGUNAKAN DATA HISTORI TRANSAKSI DENGAN METODE APRIORI (STUDI KASUS: BEBEK PONDOK GALIH)The food business goes hand in hand with the development of information technology. Process efficiency must be improved to increase sales transactions and achieve consistent profits. Bebek Pondok Galih has historical data on sales transactions from year to year, with this data being useful if management can analyze consumer buying patterns so they get information on what menus are frequently ordered and the relationship between one menu and another. Based on these problems, a data analysis process is needed to form a menu arrangement recommendation by utilizing data mining using the Apriori algorithm. The a priori algorithm is a data mining method that can produce association rules. Based on its application in this study with a minimum support value of 30% and a minimum confidence level of 80%, the final rule is that if consumers purchase 600 ml of roasted duck and aqua, they will also purchase a portion of rice. so that the three menus can be made into one menu package.
Kajian Terhadap Common Errors dalam Penerapan Aturan Subject-Verb Agreement Bahasa Inggris

English as a foreign language that is widely used in the world provides a challenge to every learner. Grammar rules in English are one of the challenges faced by learners, especially in Subject-verb Agreement rules. This article aims to analyze the types of common errors made by students and determine the types of common errors with the highest percentage of common errors found. With a qualitative and quantitative descriptive design, this study chose students in the English Education Study Program, FKIP UMSU as the research sample. Based on the results of the analysis, it was found that there were three types of common errors found in the use of subject-verb agreement rules in English by students at the English Education Study Program, errors between singular/plural subjects, errors in tense selection, and types of errors in the form 'to' form of verb/split of verb. Furthermore, it can be obtained that the highest percentage of errors obtained is in the type of 'to' form of verb/split of verb in question no. 20 where there were 82 students who answered incorrectly with a percentage of 66.12%.
Penurunan Cr6+ dari Limbah Batik dengan Menggunakan Kitosan dari Cangkang Kupang Putih

Chitosan is a biological material that has the potential as an environmentally friendly coagulant. Because based on its chemical structure, chitosan has an active amine group (NH2). The presence of a lone pair of electrons from the nitrogen atom in the amine group causes the group to be electronegative and very reactive to increase metal ions so that it is very good to be used to absorb metal ions. At the c-3 and c-6 atoms of the chitosan sugar group. This aims to reduce the levels of cr6+ in waste using an adsorption process where adsorption is a process that occurs when a fluid (liquid or gas) is bound to a solid and eventually forms a film (thin layer) on the surface of the solid. The adsorption uses chitosan media made from the white shell of mussel which has a weight of 3 grams, 5 grams, 7 grams, 9 grams and 11 grams with temperatures of 30 C, 45 C, 60 C, 75 C and 90 C. After making chitosan The weight of chitosan will be mixed with batik waste with a certain temperature and a rotation of 150 RPM. The best results are obtained at 11 grams at a temperature of 90 C, with the ability to reduce it to 94.62% with an initial concentration of 2.473 mg/l. at 11 grams with a temperature of 90 C, it is in accordance with SNI with group 2 where the cr6+ content is 0.5 mg/L.
Applications of the Projective Space PG (3,8) in Coding Theory

The main objective of this research is to present the relationship between the subject of coding theory and three-dimensional projection space in the eighth field. We found the points, lines, and planes of the Galois field of order 8 using algebraic equations. Then, we formed a projective matrix with a binary system of zero and one. We collect the elements of the Galois field of order 8 with the projective matrix. We have seven projective matrices, and we found the shortest distance between two different points of the matrices where the highest distance that we got is 585, and the shortest distance is 73. And we test the code. Hence the maximum value of code size on an eighth-order finite domain and an incidence matrix with parameters generated were, n (code length), d (minimum code), e (correction of error in the code). We test the code in coding theory as the code length is 581, the minimum code is 73 and error correction in the code is 36. We apply the coding theory to see if it is perfect or not perfect.
Code Analysis at WhatsApp (Keynote)

In the ever-evolving world of software development, code analysis stands as a critical component for quality and efficiency. This keynote will present an overview of code analysis tools at WhatsApp, and then delve into the techniques of dynamic and static analysis, with examples of their industrial deployments. The keynote will discuss the integration of code analysis into early stages of the software development life cycle, from continuous integration pipelines to DevOps practices.
Perfectly Imperfect: Music, Math, and the Keyboard (Keynote)

As a concert pianist and harpsichordist, I am devoted to extracting expression and meaning out of the silent abstractions of a musical score. Behind the preparation for any performance is my stark wonder at how such innovative, suggestive sonic domains are realized by composers, literally out of thin air. We’ll explore some basic mathematic principles that underlie all musical discourse, with a focus, given time constraints, on Western classical music. With recorded and live examples from the keyboard, we’ll look at Harmony: from the acoustical demonstrations of Pythagoras, through the contentious battles over tunings and temperaments during the Baroque, to the microtonal experiments of modern times in the work of Harry Partch and Iannis Xenakis. And Rhythm: another vast realm of experimentation and invention, how did we get from 2/4 to the polymeters and irrational meters of Conlon Nancarrow and Thomas Adès?
Flexible Instruction-Set Semantics via Abstract Monads (Experience Report)

Instruction sets, from families like x86 and ARM, are at the center of many ambitious formal-methods projects. Many verification, synthesis, programming, and debugging tools rely on formal semantics of instruction sets, but different tools can use semantics in rather different ways. The best-known work applying single semantics across diverse tools relies on domain-specific languages like Sail, where the language and its translation tools are specialized to the realm of instruction sets. In the context of the open RISC-V instruction-set family, we decided to explore a different approach, with semantics written in a carefully chosen subset of Haskell. This style does not depend on any new language translators, relying instead on parameterization of semantics over type-class instances. We have used a single core semantics to support testing, interactive proof, and model checking of both software and hardware, demonstrating that monads and the ability to abstract over them using type classes can support pleasant prototyping of ISA semantics.