Reviewerly/exHarmony huggingface dataset:
Klasifikasi Status Gizi Balita Menggunakan Naïve Bayes dan K-Nearest Neighbor Berbasis Web

One of the efforts in increasing the progress of a country is improving the quality of nutrition. Good balanced nutrition can increase the body's endurance, increase the level of intelligence and make a person develop normally. Infancy is a period of development and growth that requires more nutritional content than other age groups, making it the most vulnerable to nutritional disorders. Nutritional status under 5 years can be seen using the Anthroperti method. Calculations done manually make the process take a long time and errors often occur in entering data. Data mining can make decisions on the nutritional status of toddlers faster by looking at patterns in previous data. Naïve Bayes and K-Nearest Neigbor are one of the methods in classification. Naïve Bayes has the advantage of being able to achieve high accuracy values with minimal training data. Meanwhile, the K-Nearest Neighbor method has the advantage of being able to work optimally on data that has random errors (noise). Using 412 nutritional data for toddlers, the results obtained with Naïve Bayes getting an accuracy of 80.60%, while with K-Nearest Neighbor, an accuracy of 91.79% was obtained.
Keefektifan Pembelajaran Daring terhadap Hasil Belajar Siswa

The author's purpose of conducting this study was to analyze student learning outcomes on daily tests in social studies learning during the pandemic era whether student scores increased or decreased while students were studying using the online method. The method in this study using the observation method. The observation method is collecting data or information that must be carried out by making observations directly to the place to be investigated. The results of the study, based on student learning outcomes from grades 1-10 on daily tests 1 and 2, the value of students increased in social studies subjects for class VII. This is because students are accustomed to the conditions of learning from home so that they have adapted to study and take advantage of all existing facilities to help their learning process. In conclusion, the use of online learning methods is quite effective in supporting the effectiveness of learning, this is evidenced by the learning outcomes in the daily tests of students which have increased on the 1st daily test to the 2nd daily test. The application of the online method can be well received by students, especially at SMP Negeri 4 Bengkulu City in class VII so that students can adapt even though they do not study face-to-face (offline).&#x0D; Keywords: Learning Outcomes, Social Studies Lessons, Online
FEATURES OF PREPARING FUTURE TEACHERS FOR PROFESSIONAL ACTIVITIES IN THE CONDITIONS OF THE UNIVERSITY’S TECHNOPARK

The article considers the pedagogical model of the formation of future biology teachers’ readiness for professional activity in the conditions of the innovative environment of the university. The conditions of its successful functioning are determined.
Feature reduction techniques for software bug prediction

Developing a software entails writing thousands of lines of code. For ensuring quality of the software, this code must be fault free (should perform as it is intended to do). Software faults result in wastage of effort and resources used for developing it. Software bug prediction is a process in the initial period of Software Development Life Cycle (SDLC) which predicts bug-prone modules in a software. Various Machine Learning (ML) methods and feature reduction techniques have been employed for better fault prediction. In this paper six feature reduction techniques have been employed on five software bug datasets of AEEEM software repository in association with random forest-based ensemble classifier. SMOTE and Stratified 10-fold cross validation are used to improve performance of bug prediction model. Three performance metrics (ROC-AUC, F1-Score and accuracy) are ex-tracted for evaluating different dimensions of prediction. Feature agglomeration and Sparse principal component analysis performed better on these datasets for feature reduction.
مقارنة استخدام وسيلة جوجل فرام وزوهو فرام لوسيلة تعليم اللغة العربية

The Google form is a Google product that is used to create a review and questionnaire paper across the web and to collect the response. Zoho Form is a web-based online platform used free of charge to create an online questionnaire and to collect a response. Google Form is used for the online form that is placed on the Internet or released in social media. Zoho Form's platform is easy to apply to users via computer, laptop or phone at any time and place with an Internet connection. The advantages of the Google Form platform are as follows: the industry is easy and effective use, and the shape of Beidou is attractive, this application provides facilitations for users to enter and use their images or logos in the browser, and the user does not need to print the earrings for Google Form and Majna, and lack of time to share. The disadvantages of the Google Form platform are that it is designed limitedly. One is the lack of character types, it requires a lot of internet quota, you must have email, and you can't send voice messages. The use comparison between them is that the Google Form platform is a tool that is used to plan the program, to send a note, to gather news, to give questions, and so on. The Google Form platform is used for the online form that is placed in the Internet where twenty-three programs are available. Zoho Form is the web-based electronic platform with twenty-seven programs available, and from the application axis it comes in two types; - application by computer - and application by phone. From here the use was becoming easy for users because it is not limited to the constraint of time and place, the Google Form platform does not have the presence detection, and the Zoho Form platform has no presence detection, the Google Form platform does not contain sending voice messages, while the Zoho Form platform contains sending voice messages, and can be used for companies, bodies and associations by applying the programs available in it such as sales, marketing, calculations and others
Evaluation Method of Communication Countermeasure Combat Effectiveness based on Cloud Model

Communication countermeasure combat effectiveness evaluation is related to the adjustment of combat means and system command coordination. As qualitative description of communication countermeasure combat effectiveness evaluation is difficult to accurately to evaluate, Combination method, which combines objective evaluation and subjective evaluation effectively is adopted, and the weight distribution of the evaluation index is more scientific and reasonable. The cloud model is used to evaluate the operational effectiveness of communication countermeasures, the forward cloud generator can transform the qualitative evaluation results into quantitative computable values, and then the final operational effectiveness evaluation results can be obtained by the reverse cloud generator. The results show that this method can integrate subjective and objective information well, effectively integrate fuzziness and randomness, and has strong operability. It can provide an effective method for evaluating the effectiveness of communication countermeasures.
Silent Learners’ Voices: Exploring the Silence Behavior in Indonesian EFL Classroom

&lt;em&gt;Silence in an EFL classroom is inevitable, but it only becomes an issue when it discourages students from participating, speaking out, or taking an active role in the teaching and learning process. This study's goal is to determine the reasons for learners' silent behavior and expectations in the EFL classroom. Employing an explanatory sequential research design, the data are collected through questionnaires from 78 Indonesian senior high school learners and analyzed using a descriptive statistic to identify the silent learners. Moreover, interviews were given in order to elicit personal explanations for why learners choose to remain silent in EFL classes. The result of this study specifically identified five reasons for silence in EFL classrooms. Furthermore, the empirical findings gained by this study can support linguistic practitioners or educators in developing a more acute awareness and a deeper comprehension of learners' silent behavior&lt;/em&gt;
PENERAPAN MODEL PEMBELAJARAN COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) DALAM MENINGKATKAN HASIL BELAJAR BAHASA INDONESIA MATERI GAGASAN POKOK PARAGRAF DI SD ISLAM PB SOEDIRMAN JAKARTA

The purpose of this study is to improve the learning outcomes of Indonesian language with the main idea of paragraphs through the application of the CIRC learning model. The research method used is classroom action research using a qualitative approach. This research includes 2 cycles where each cycle includes 4 stages, namely planning, action, observation and reflection. This research was carried out at SD Islam PB Sudirman with 32 students as research subjects, while data were collected through tests, interviews, observation and documentation. 56 Cycle I = 74.68, and Cycle II = 82.34. This study concludes that using the CIRC learning model can improve learning outcomes for the main idea paragraph material
FLASH (FUN LEARNING ENGLISH) WITH PICTIONARY FOR VOCABULARY ENAHNCHING ON RURAL STUDENTS

Learning English for some students were getting bored and less fun. It makes them become lazy and unserious to following the class. Especially, in rural students with local language user for learning the foreign language. Teaching English will become the difficult way for English teacher who teach in seven grade students on MTs S Ittihadiyah Aek Korsik Desa Parimburan Kecamatan Sungai Kanan Kabupaten Labuhanbatu Selatan North Sumatera. Vocabulary is the basic and the important aspect of language in order to easier to able to speak, to read, to write and to listen. FLASH (Fun Learning English) with Pictionary as a teaching strategy were designed and adapted by English teacher. It can help the students feel comfortable, fun, active and more motivated when they were enhaced their vocabulary during the learning process. The author conducted the data by using classroom observation and test including a series of processes to identify the problem that are appearing. The analysis showed how the pictionary gave the enhancing the students on knowing, memorizing and pronouncing the word. &#x0D; Keywords : Pictionary, Vocabulary, Fun Learning English.
Readiness of Anonymous Credentials for Real Environment Deployment

Attribute-based Credentials (ABCs) are a promising technology for protecting users' privacy and digital identity.We can use ABCs in a multitude of contexts.For instance, we can prove the validity of transportation tickets, demonstrate the legal age, prove the health status, or certify access rights in the company environment.All of this, we can do without disclosing complete personal identity.Nevertheless, ABCs generally require computational power that some wearable devices cannot cope with.In this paper, we present our implementation of a privacy-enhancing authentication system based on ABCs technology.The system is suitable for deployment in real-world scenarios and uses a wide range of differently powerful user devices (e.g., smart cards, smartphones, and wearables).Based on our implementation results, we also discuss the implementations aspects of ABCs, their readiness, and usability in real-world applications.
TEACHING EAP TO DIGITAL GENERATION LEARNERS: DEVELOPING A GENERATION-SPECIFIC TEACHING STRATEGY

The article focuses on developing an English language teaching course for the students of the digital generation in non-linguistic specialties. To develop the course, a theoretical analysis of the scholarly literature on the digital generation student characteristics and their attitude to online and blended learning environments was conducted. In addition, the empirical data obtained through pre/post-tests and a survey of the students who enrolled in an English for Academic Purposes (EAP) course was analysed. The experimental groups were offered an EAP course specially designed for digital generation students and the control groups were offered a traditional EAP course. The pre-instructional questionnaire was developed to identify the behaviour of the digital generation students in the context of foreign language learning. The end-course survey was used to analyse whether the participants’ perception of foreign language learning changed after completing the course. The pre-instructional and post-study language proficiency scores were compared across the experimental and control groups. The research findings indicated that the experimental groups showed a significant advantage over the control groups and expressed more positive attitudes to learning EAP. Practical implications suggest that tailoring foreign language teaching to the basic characteristics of digital generation learners can significantly improve its efficiency, resulting in a higher level of foreign language proficiency and leading to increased motivation to study a foreign language.
An Intelligent Video Editing Automate Framework using AI and Computer Vision

The issue to be resolved was videos may be a difficult and time-consuming process to edit, specifically with cropping videos [4]. The solution that was implemented was a mobile application that was capable of cropping videos using a body tracking solution called MediaPipe Pose [5]. Using a landmark model that labeled the body parts of a person, the application can recognize where the person is located in the video frame by saving the minimum and maximumx- and y- coordinates. In the image array, the rows and columns not included within those coordinates are deleted, which leaves only the area with the person inside. To prove the effectiveness of the application in daily life, a survey was performed on fifteen participants. Each participant was shown the same video demonstration of the application being used, then the participants answered questions regarding how useful the application would likely be in daily life and how convenient the application would be to use. Results indicate that the general public would be willing to use the application as a long-term solution for video cropping [7].
COMBINATION OF COMPETENCE, CONTEXT AND ACMEOLOGICAL APPROACHES TO THE MASTER'S TRAINING OF FUTURE TEACHERS OF HIGHER EDUCATION INSTITUTIONS

A methodical system for professional training of future teachers of higher education institutions has been developed on the basis of a combination of competence, contextual and acmeological approaches to professional training of future teachers of higher education institutions. This combination has a strategic focus on the formation of elements of the elaborated by the authors system of training future teachers of higher education by highlighting the integrated, general and professional competencies that need to be formed in these professionals, developing content, forms, methods and tools of this formation on a contextual and acmeological basis. The change of the structure of professional training of future teachers of higher education institutions is based on three changes in the educational process. The first change is based on the form of academic-type education, which reproduces mainly the academic form of teaching such as lectures or seminars, and thus undergraduates mainly have the ability to form general competencies. The second modification may be represented as an effective form of quasi-professional activity consisting in modelling and solving real educational situations by undergraduates and the comparative study of different systems of activities of teachers of higher education institutions. The third change is implemented through a comparative study of effective systems of higher education teachers, aimed at forming in the minds of graduates the elements of elaborated by the article’s authors system of higher education, ensuring their high personal and professional readiness for active interaction with students as the experts, «coaches», consultants, facilitators
Tracking Creative Musical Structure: The Hunt for the Intrinsically Motivated Generative Agent

Neural networks have been employed to learn, generalize, and generate musical pieces with a constrained notion of creativity. Yet, these computational models typically suffer from an inability to characterize and reproduce long-term dependencies indicative of musical structure. Hierarchical and deep learning models propose to remedy this deficiency, but remain to be adequately proven. We describe and examine a novel dynamic bayesian network model with the goal of learning and reproducing longer-term formal musical structures. Incorporating a computational model of intrinsic motivation and novelty, this hierarchical probabilistic model is able to generate pastiches based on exemplars.
Perancangan Sistem Informasi Akuntansi Persediaan Bahan Baku di CV Anugerah Sukses Gemilang

The raw material inventory recording system at CV Anugerah Sukses Gemilang is still done manually, therefore errors often occur in recording raw material inventory and it takes a long time to record raw material inventory manually. This causes the reports presented to be less accurate and take a long time to make reports in each period. This system is designed using Microsoft Visual Studio 2010 by utilizing the VB.Net and MYSQL database. The purpose of this research is to be able to manage raw material inventory computerized and to present accurate and automatic reports in each period. The research method used consisted of data collection methods based on observations, interviews and literature studies. The system development method used is the waterfall method. The results of this study are in the form of applications that help simplify and speed up officers in recording raw material inventories, especially in terms of data reporting.
The Effectiveness of Smart Phones' Applications In Developing EFL Secondary School Students' EFL speaking skill.

This research investigated the effect of Smartphones' applications on developing EFL speaking skills of sixty first secondary school students from the Egyptian Islamic English Language school, Sharqeya Governorate, Egypt in the academic year 2020-2021.They were equally divided into an experimental group and a control group.This study adopted quasi-experimental design using a pre-post tests.The experimental group was taught by the use of Smartphones' applications while the control group received regular teaching .The results indicated that the students who were taught using smartphones' applications showed an enhancement in their speaking skills.On the contrary of the control group.Therefore, smartphone's applications positively affected EFL speaking skills of secondary school students.
Pendampingan Sistem Akuntansi dengan Microsoft Excel Macro untuk Penyusunan Laporan Keuangan berdasarkan SAK EMKM

&lt;p&gt;Usaha Barokah Isi Ulang only manually records purchases and income, with no adjustments to fixed assets or financial statements. As a result, the authors are eager to process the transaction data of Usaha Barokah Isi Ulang, as micro, small and medium enterprise (MSME) in order to generate a more precise financial report. The goal of this service is to provide more knowledge in creating financial reports based on SAK EMKM using the Microsoft Excel Macro accounting system, introduce the Microsoft Excel Macro accounting system, and assist in creating financial reports using the Microsoft Excel Macro accounting system. This program was provided at Usaha Barokah Isi Ulang at Jatisampurna Village, Bekasi on October-- December 2021. The lecture approach, question and answer method, and mentoring method are all used. According to the needs of the owner, the Microsoft Excel Macro accounting system can produce financial reports in a relatively quick, easy, and accurate manner for Usaha Barokah Isi Ulang.&lt;/p&gt;
Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari

Width-based planning has shown promising results on Atari 2600 games using pixel input, while using substantially fewer environment interactions than reinforcement learning. Recent width-based approaches have computed feature vectors for each screen using a hand designed feature set (Rollout-IW) or a variational autoencoder trained on game screens (VAE-IW), and prune screens that do not have novel features during the search. We propose Olive (Online-VAE-IW), which updates the VAE features online using active learning to maximize the utility of screens observed during planning. Experimental results across 55 Atari games demonstrate that it outperforms Rollout-IW by 42-to-11 and VAE-IW by 32-to-20. Moreover, Olive outperforms existing work based on policy-learning (π-IW, DQN) trained with 100 times the training budget by 30-to-22 and 31-to-17, and a state of the art data-efficient reinforcement learning (EfficientZero) trained with the same training budget and ran with 1.8 times the planning budget by 18-to-7 in the Atari 100k benchmark, without any policy learning. The source code and the appendix are available at github.com/ibm/atari-active-learning and arxiv.org/abs/2109.15310 .
The Design of Automatic Summarization of Indonesian Texts Using a Hybrid Approach

This study aims to design a model for automatic text summarization in Indonesian. Automatic text summarization is a system that reduces the number of sentences without losing important information in the document. There are three approaches in making automatic text summarization, namely: extractive, abstractive, and hybrid. The extractive approach is to select a core sentence without changing it to a new sentence. The abstractive approach is to construct new sentences that describe the contents of the document. Meanwhile, the hybrid approach designed in this study is a combination of extractive and abstractive approaches. By designing automatic text summarization in Indonesian with a hybrid approach, it is hoped that the results issued by the system will be more like man-made summaries and have higher readability. The design made is specifically for the input of a document. The stages of automatic text summarization are divided into two, namely preprocessing and process. In the Preprocessing stage, sentence separation, tokenization, coreference resolution, stop words removal, feature extraction are carried out. There are two stages of making the summary, namely the extraction stage, to select important sentences and the abstraction stage, to select words and arrange them into summary sentences. Further research can be carried out for input of longer documents and the input is in the form of multi documents
Teaching Technique: Inside Outside Circle on Students’ Writing Skill of Secondary School in Tangerang

This research is aimed to find out the effect of the inside outside circle on tenth-grade students' writing narrative text at SMAN 3 Kabupaten Tangerang in the academic year 2019/2020. This research used a quasi-experiment with pre-test and post-test design. The technique of teaching used in this research is the inside outside circle. The population is 416 students at the school, and the sample was purposively selected by taking two classes of the tenth grade, each consists of 30 students The data was analyzed by using a T-test at the level significance (α=0.05) and degree of freedom is 58. The result showed that the t-count was higher than the t-table (4.49 &gt; 2.00). In other words, the null hypothesis (H0) is rejected and the hypothesis alternative (Ha) is accepted. It means that the inside outside circle technique can improve the students' writing narrative score and the students will be easier to write because it can improve students' ideas. So, the inside outside circle is recommended to be applied for teaching writing.