Reviewerly/exHarmony huggingface dataset:
The Construction of English Teaching Platform Based on Artificial Intelligence Under Computer-Aided Design

Chinese traditional sculpture art has a relatively long history, and it is also relatively famous all over the world.Chinese traditional sculpture art is not only a display of painting techniques and carving techniques, it also has the function of preserving Chinese history and culture.The traditional engraving technology will use the basic theory of drawing to design related factors.However, this kind of carving art is more cost-intensive and human and material resources.Computer-aided technology can assist CAD technology to reconstruct traditional Chinese sculptures.However, it is also difficult for traditional CAD reconstruction techniques to take into account the cultural information, shape information and time correlation of traditional Chinese sculptures.This research uses MPCNN and LSTM technology in artificial intelligence algorithm to assist computer-aided technology and CAD technology to realize the 3D reconstruction task of traditional Chinese sculpture.The research results found that this artificial intelligence theoryassisted CAD reconstruction technology can intuitively restore the pattern information, shape information and cultural information of traditional Chinese sculptures, which is mainly due to the fact that MPCNN-LSTM technology can accurately mine and evaluate the relevant characteristics of traditional Chinese sculptures.
INVESTIGATIVE EXPERIMENT DURING INVESTIGATION OF CRIMINAL OFFENSES COMMITTED BY UNDERAGE PERSONS

The purpose of the article is to highlight the features of conducting an investigative experiment involving underage persons in criminal proceedings for criminal offences and to form appropriate scientific provisions and practical recommendations.Results.It is underlined that an investigative experiment involving underage persons, as special participants in criminal proceedings, requires considering their procedural status, age, mental development, psychological state, and, accordingly, the application of specially designed organisational measures and tactics that meet the requirements of admissibility and are based on psychology.It should be considered that the organisational and tactical actions at all phases of the investigative experiment will depend on whether an investigative (search) action will be carried out in the form of on-site evidence verification or the actual investigative experiment as a system of experiments, examinations.In preparation for the investigative experiment, considerable attention is paid to the study of the personality of an underage person.The fullest possible information about a child is important for establishing rapport and choosing the right tactics for dealing with an underage person.According to empirical data, in the course of an investigative experiment in the investigation of criminal offences committed by underage persons, they most frequently examine: the possibility of the existence of certain events in the past, processes, phenomena; possibility for the participant of the investigative experiment to perceive a certain event, phenomenon, process, object; possibility of carrying out determined actions in certain conditions; establishment of certain circumstances of the event of criminal offence.Conclusions.In order to improve the effectiveness of the investigative experiment involving underage persons in the investigation of criminal offences, a number of recommendations are proposed: the investigation experiment should take place on the site, under conditions and environment in which a criminal offence or the most similar event has occurred; the location of the investigative experiment should be checked beforehand in order to ensure the safety of participants in criminal proceedings, to create an environment as close as possible to the one in which the event occurred; the same or as close as possible to the objects, means and instruments used to commit the criminal offence or their mock-ups should be built up; a thorough and repeated reproduction of experimental actions, detailed verification of evidence with reference to the environment; provision of psychological comfort conditions for the juvenile involved in the conduct of this investigative (search) action.
The current state and prospects for further development of the global cryptocurrency market

The article examines the genesis and technologies of the cryptocurrencies, presents data from leading cryptocurrencies platforms for the purpose of in-depth analysis of the current market situation. In recent years, there has been a significant growth of the cryptocurrency market, the development of new technologies and products on the market, as well as an increase in its influence on more traditional financial markets. In this regard, the issue of regulating cryptocurrencies at the national and supranational levels is becoming increasingly relevant. The subjects of the research are the international cryptocurrency market, the technology of the distribution register, the experience of various countries in regulating the issuance and circulation of cryptocurrencies. Based on the results of the study, the authors identified current trends in the global cryptocurrency market. According to the authors, it is practically impossible to completely ban the issue and turnover of cryptocurrencies by the state due to their decentralized nature. Regulation of the cryptocurrency market is a new source of funds for the tax budget, and will also contribute to the further development of the field of digital technologies. In the article, the authors investigated the approaches a number of countries in the direction of regulation and legalization of the cryptocurrency market, which can be used as an example in the process of creating a regulatory framework for the Russian cryptocurrency market.
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis

The advancement in the area of computer vision has been brought using deep learning mechanisms. Image Forensics is one of the major areas of computer vision application. Forgery of images is sub-category of image forensics and can be detected using Error Level Analysis. Using such images as an input, this can turn out to be a binary classification problem which can be leveraged using variations of convolutional neural networks. In this paper we perform transfer learning with state-of-the-art image classification models over error level analysis induced CASIA ITDE v.2 dataset. The algorithms used are VGG-19, Inception-V3, ResNet-152-V2, XceptionNet and EfficientNet-V2L with their respective methodologies and results.
Bully Anak Artis Lesti Kejora dalam Analisis Wacana Kritis Norman Fairclough

This article describes Fairclough’s normative critical discourse on physical insults to children with Lesti Kejora using Norman theory. The method used in this research is descriptive qualitative method, listening method and literature study. The observation method was also applied in this study. This study also uses a note-taking approach. The survey consists of three phases: a data acquisition phase, a classification phase, and a data analysis phase. This study uses two news media, Suara.com and Herstory, based on the analysis of Fairclough's theory, bullying the child of artist Lesti Kejora. The data analysis technique used is reducing data, presenting data, and drawing conclusions. The purpose of the study was to find out how the two SH media (Suara.com and Herstory.ac.id) obtained information about the physical insults of Lesti Kejora's children. The theory used in this study is a three-dimensional model from Norman Fairclough, namely the micro, mesostructural, and macrostructural dimensions. Microstructural analysis that describes the negative and positive sides of physical abuse of children with Lesti Kejora, mesostructurally how the media obtains information related to physical abuse of children. Social situations depicting children's physical appearance as monkeys are associated with children's physical humiliation.
HUBUNGAN TRANSPARANSI DAN AKUNTABILITAS DENGAN PARTISIPASI KOMUNITAS SMA NEGERI 26 BONE

This article aims to analyze and test the relationship between transparency, accountability, and community participation. This study was conducted at SMA Negeri 26 Bone using a quantitative approach through a correlational study. Respondents in this study found 87 people, consisting of 28 teachers who were taken as a whole, 53 parents of students, and 6 school committee members. The data collection technique used is to distribute research respondent questionnaires. The data obtained through the questionnaire were then analyzed using product moment correlation analysis and multiple correlations. The results of this study have proven that: 1) there is a positive and significant relationship between transparency and community participation; and 2) there is a positive and significant relationship between accountability and community participation. Thus, the application of transparency in education management will encourage public awareness to participate in helping to improve the quality of education in schools.
Klasifikasi Image Untuk Jenis Buku Bacaan Anak-Anak dengan Menggunakan Convolutional Neural Network

This study was made to classify the types of children's reading books based image on the on the cover. The types of books used in this research are fairy tales, educational books and comics. The problem that occurs is that there are many types of reading books so that there are no errors in identifying children's literature, then classification is carried out. Uses approximately 1002 image data. This study uses the method Convolutional Neural Network (CNN). The purpose of this study was to classify the types of children's reading books to suit the age of the reader. It is hoped that the research objectives can make it easier for parents to find books that are appropriate for their child's age. Convolutional Neural Network (CNN) is a method deep learning that is usually used to process data in the form of images. The research stages start from literature study, data collection, data processing, needs analysis, design, implementation and testing. The collection uses several methods, namely: literature study, documentation method, interview and questionnaire method. The design is carried out from input image data, followed by calculating the accuracy and classification process which results in image classification. Implementation using the Python programming language. Evaluation of the performance of testing the accuracy value using the confusion matrix. The result of the research is a system that can classify the types of children's reading books using 70% training data and 30% test data. With an accuracy rate above 80%.
Penerapan Algoritma Text Mining Dan TF-RF Dalam Menentukan Promo Produk Pada Marketplace

In the development of an increasingly sophisticated and modern era like today, the online marketplace is one of the e-commerce services or virtual buying and selling services which is a meeting place between sellers and buyers online to process buying and selling transactions. Determining the Algorithm Text mining is a process of mining data in the form of text where the data source is usually obtained from documents and the goal is to find words that can represent the contents of the document so that an analysis of the connectivity between documents can be carried out. Processes in text mining include tokenization, stemming and filtering processes. The method of collecting data is the library method. The stages of application development include process design, table design, implementation and system testing. The work in this final project uses a case study on a marketplace. In which this final project uses the Text Mining algorithm and the TF-RF algorithm in determining product promotions in the marketplace.
Peningkatan Hasil Belajar Bahasa Inggris dengan Penerapan Model Pembelajaran Kooperatif Time Token

The purpose of this classroom action research is to implemen time token cooperative learning model to improve students' learning achievement of English through in VII 1 students of Semester I of MTsN 14 Tanah Datar in the 2022/ 2023 school year. This research was conducted in MTsN 14 Tanah Datarof class VII.1 as many as 32 students. This research is a Classroom Action Research conducted in two cycles. Data collection techniques used documentation, observation, and written tests. Data collection tools are observation sheets, test items, and value list documents. Data analysis using comparative descriptive analysis followed by reflection on each cycle consists of four steps, namely: (1) Planning, (2) Action Implementation, (3) observation, and (4) reflection. The results of this study indicate an increase in learning achievement of English students. The percentage of students' learning mastery, example before the action of 62,5%, in the first cycle of 75% and in the second cycle of 96,9%. In addition, average score of learning achievement of English students also experienced an increase before the action of 70,9, in the first cycle of 73,4 and on the second cycle of 81,7. So it can be concluded that "The use of time token cooperative learning model can improve the learning achievement of English students of VII. 1 semester I MTsN 14 Tanah Datar 2022/ 2023 academic year".
Pengembangan Media Pembelajaran Berbasis Android pada Materi Suku Banyak (Polinomial)

This study aims to develop android-based mathematics learning media on polynomial material that is valid, practical, and effective for use in learning. This type of research is research and development by applying a 4-D development model which has stages consisting of: define, design, develop, and disseminate. The data collection instruments used were an expert validation questionnaire, practicality questionnaire, and pretest-posttest questions. The subjects of this study were students of class XII SMAN Gogol. The results show that the assessments of material experts and media experts obtained valid criteria. In the practical aspect, the learning media are stated to be very practical to use as a support for learning from the assessment of teachers and students. In the pretest-posttest results of students, the increase in learning outcomes is at the "medium" level seen from the n-gain test scores so the "Pintar Polinomial" learning media is declared to be effectively used in learning polynomial material. It can be concluded that the "Pintar Polinomial" learning media is feasible to use in learning because it has met the criteria of validity, practicality, and effectiveness.
DEVELOPMENT OF POCKET BOOK BASED ON QR CODE ON PLANE FIGURE MATERIALS FOR CLASS IV ELEMENTARY SCHOOL

Teaching materials are part of learning. The lack of variety of teaching materials used can make students less active and enthusiastic during the learning process. Several things can make students excited and active in learning, one of which is by using a QR Code-based pocketbook. This study aims to produce a QR Code-based pocketbook that is valid and practical in terms of validation of material experts, teaching materials experts, teachers, and student responses. The type of development research used is research and development (RnD). The research model used is the ADDIE development model. This research produces a pocketbook based on a QR Code on the material of plane figure of fourth-grade elementary school mathematics content. The QR Code-based pocketbook included in the Criteria is valid and feasible to use. These results are based on the average value of 2 material experts of 88%, the average value of 2 teaching materials experts of 97.75%, and the value of practitioners (teachers) of 100%, student responses 95.29%. Percentage based on these results, pocketbooks can be used in learning
QKeyShield: A Practical Receiver-Device-Independent Entanglement-Swapping-Based Quantum Key Distribution

Quantum key distribution, in principle, provides information-theoretic security based on the laws of quantum mechanics. Entanglement swapping offers a unique ability to create entanglement between qubits that have not previously interacted. Entanglement-swapping setup helps in building a side-channel-free Quantum key distribution. A receiver-device-independent quantum key distribution protocol based on this idea, QKeyShield, is proposed. It adopts the use of a biased operator choice, thus, increasing the rate of generated bits. Several measures have been integrated to protect the sent qubits. Furthermore, security analyses for a list of attacks allowed by quantum mechanics are provided showing that QKeyShield can securely and effectively allow Alice and Bob to agree on a secret key. QKeyShield has certain advantages over earlier protocols including the ability to achieve high usage efficiency and the potential of enabling conference quantum key distribution.
Detection of Mask Usage Using Image Processing and Convolutional Neural Network (CNN) Methods

Since the first case of COVID-19 was discovered in Indonesia in March 2020, the number of positively contaminated patients is increasing every day. On April 13, 2021, there were 1,571,824 patients who were positively contaminated with COVID-19. Various efforts have been made to suppress the spread of this dangerous virus, one of which is by implementing health protocols that must be obeyed when someone is in a crowd. The recommendation to use masks is a form of health protocol. Often people ignore the importance of using masks in public places, sometimes masks are used not in accordance with justified recommendations. For this reason, research is proposed which will later produce a system that can detect whether someone has used a mask correctly. The system was developed using a deep learning method using a convolutional neural network (CNN). CNN will classify data objects in the form of images / user images and determine whether they are wearing masks correctly or not. The output of the system in the form of audio will be delivered through speakers installed adjacent to the camera which will scan the user's face.
RANCANGAN DAN IMPLEMENTASI SISTEM KEARSIPAN KELURAHAN PAKANSARI BERBASIS WEBSITE

&lt;p&gt;&lt;em&gt;The Pakansari Village archive data media are only stored in the register book for each category. Even then, there is still a lot of data that is not stored or a lot of data is lost due to inadequate storage media. This situation becomes a problem for people who want to find data to check it. The purpose of this study was to build a website for archive data in Pakansari Village using the OOP method. The research method used is the waterfall. The design of the system has been carried out with the UML model so that it consists of context diagrams, use case diagrams, actuvuty diagrams, sequence diagrams, component diagrams, collaboration diagrams, deployment diagrams. The system has been built with the following modules: registration module, login module, blank add module, blank detail module, blank edit module, blank delete module, blank print module.&lt;/em&gt;&lt;/p&gt;
Efek Potensial Pengembangan Sparkol Videoscribe terhadap Hasil Belajar Mahasiswa

ABSTRACT&#x0D; This study aims to determine the potential effect of developing sparkol videoscribe-based learning media on student learning outcomes of STKIP PGRI Lubuklinggau. This research is a development research using a 4D development model. This model consists of 4 stages of development, namely define, design, develop and disseminate. An assessment of student learning outcomes was conducted to determine the potential effect of developing sparkol videoscribe. Assessment of student learning outcomes is carried out by giving test questions after the learning is completed. The results of the research, the development of sparkol videoscribe has a positive potential effect, where 50% of students are in the very satisfactory category, 33.33% of students are in the satisfactory category and 16.66% of students are in the moderate category. In conclusion, the development of the sparkol videoscribe learning media that has been carried out has a potential effect on student learning outcomes.&#x0D; Keywords: Potential Effects, Learning Outcomes, Development, Sparkol
Local Wisdom’s Value of Toba Bataknese Language for Daily Communication in Jakarta

Local wisdom in a language, especially traditional languages, makes the languages able to survive even in the crush of everyday languages and languages from abroad that seem to have been nationalized.The use of regional languages in daily life, especially those that are still used and communicated by speakers both when they are in the place where the language is used or in places where the language is not known, shows how the language is preserved and has the meaning of values and local wisdom to be preserved.This study aims to examine the use of the Toba Batak language which is communicated daily in Jakarta by speakers in which the sentences that are often used in the language are studied to see the existence of local wisdom in maintaining and using the language.
A General Scheme for Deriving Conditional Reference Priors

Reference prior algorithms are primarily available for models that have asymptotic posterior normality (i.e., regular case), barring for a specific class of models whose posteriors are not asymptotically normal (i.e., non-regular case). In particular, the current reference prior methodology is contingent on models belonging to regular or non-regular cases. This highlights that the existing reference prior theory lacks a unified approach. A partial breakthrough in unifying the reference prior theory came with Berger et al. (2009) deriving an explicit form of reference prior for single group models (i.e., models with a scalar parameter or models that have all the parameters on equal footing or importance). Unfortunately, their approach does not generalize to multi-group models (i.e., models that have parameters’ subsets ordered according to their importance). In this paper, we show that their main result can be extended with modifications to multi-group models. As a consequence, we obtain a general scheme for deriving conditional reference priors. We also prove that the invariance property of reference priors under particular transformations hold for both regular and non-regular cases. We show the usefulness of our approach by computing reference priors for models that have no known reference priors.
Pengembangan Assessment Autentik didasarkan LKPD Terintegrasi Literasi Digital Untuk Menilai Keterampilan Abad Ke-21

Assessment instruments that are inauthentic and have not been able to measure 21st century skills are the main problem with the lack of optimal assessment as a measuring tool for learning outcomes. In addition, the learning process that is not based on high-level thinking makes the learning outcomes obtained are not optimal. One of the innovations in dealing with these problems is to develop authentic assessments based on digital literacy integrated worksheets that can assist educators in measuring learning outcomes, authentic learning guides, and improve students' 21st century skills. The product was developed referring to the ADDIE development model with Aiken's V data analysis techniques to measure instrument and product validation, Alpha formula, and coefficient of agreement to measure the reliability of assessment instruments. The results of instrument and product validation are included in the valid category. While the results of the reliability assessment of knowledge and attitudes are included in the reliable category, so that the assessment can be trusted to measure student learning outcomes. Based on the results of the 21st century skills analysis, it was found that the critical thinking and problem solving skills of students were included in the not high category. Meanwhile, collaboration skills and communication skills are included in the fairly high category. so it can be concluded that authentic assessment based on digital literacy integrated worksheets can be used to assess the 21st century skills of students.