Reviewerly/exHarmony huggingface dataset:
Improved WAVE Signature and Apply to Post-quantum Blockchain

Blockchain has raised public concern due to its public, distributed, and decentration characteristics. This technique has been applied not only in the financial area, but also in e-government, e-health and many other digital systems. However, the security of the most widely used blockchain technique was built on the elliptic curve cryptography, which will be insecure in the will-coming quantum computing era. In this paper, we propose to use a quantum-resisted digital signature scheme from coding theory instead of ECDSA. More precisely, we modified the well-known WAVE signature scheme from $$(U,U+V)$$ code into $$(U,U+V,U+V+W)$$ code, and achieve better performance. With this post-quantum signature scheme, we build a post-quantum blockchain system.
Automated Obstacle Detector and Path Changer

Utilizing a sensor, this device utilised to keep an eye on the house.All sensor data is transferred to Thingspeak's IoT cloud, where it is shown graphically.We upload the value to a Thingspeak cloud using an Arduino Uno microcontroller and esp8266 wifi.The following sensors are used in this project: a gas sensor, an LDR sensor, an ultrasonic sensor, a metal sensor, a fire sensor, a DHT 11 sensor, and a robot setup.If there is an environmental issue in the home, the sensor will sense the issue and upload the data to the cloud.The robot's distance can be determined using an ultrasonic sensor.The metal sensor is a small piece of metal that is found in homes.If it is activated, it detects fire, and the pump motor pumps water at the same value that is reported to the IoT cloud.The DTH 11 sensor measures the temperature and humidity in the house.In this project, normal robot setup robots are also employed on the left, right, forward, and backward sides.
Tools

Careful management of metadata is essential for the effective reuse of data and the correctness of any software designed for processing the data. Metadata may capture best practice in a domain and as such the reuse of metadata can proliferate best practice. Traditionally, most metadata is usually captured implicitly, and embedded in the software or system that use the data. Motivation for developing a tool for managing and curating metadata includes data and software interoperability, documenting metadata as models and building a platform for automatically generating software systems from models.
ADAPTIVE INTELLIGENCE IS A NEW FRONT OF ANALYSIS HEROES OF ART LITERATURE

The article discusses how the provisions of the theory of adaptive intelligence (Sternberg R. J.) are presented in the texts of fiction. The authors study the type of artistic hero who implements adaptive behavior in a crisis on the episodes selected according to the results of the survey and come to the conclusion that such a cross-cutting hero, representing various cultural adaptation options, has existed throughout the history of literature and has a characteristic communicative strategy.
Detection of Fraudulent data in IOT devices using Machine Learning framework

The Internet of Things (IoT) refers to a network of physical objects, or "things," that are based in software and other technologies in order to communicate and exchange data with other devices and systems over the internet. These gadgets range from common domestic items to high-tech industrial instruments. Currently more than 7 millions users are connected today. Experts predict that by 2023, there will be more than 10 billion connected IoT devices, and by 2026, there will be 23 billion. IoT devices generate a vast volume of data in a variety of modalities, with differing data quality characterised by their speed in terms of time and location reliance. In such a scenario, machine learning algorithms can play a critical role in providing biotechnology-based security and permission, as well as anomaly detection to improve the usability and security of internet-of-things (IoT) platforms The detection of IoT devices using the Machine Learning framework is offered to achieve this goal. Five machine learning models are evaluated using various metrics with a vast collection of input feature sets in this ML framework. Each model calculates a spam score based on the input attributes that have been adjusted. This score represents the IoT device's dependability under various conditions. The proposed technique is validated using certain common appliances. The acquired findings support the suggested scheme's effectiveness in comparison to other current schemes.
DEMONSTRATIVE REFERENCE ANALYSIS IN THE JAKARTA POST HEALTH NEWS OCTOBER 2020 EDITION

Demonstrative reference is required to conduct a well-written text. Because it performs a specific function, such as referring to items in the text or signal specificity, etc., it must be clear to avoid misinterpretation of the news and make it understandable to the readers. As a result, the purpose of this qualitative study was to look into the occurrence, function, and specific pattern of demonstrative references in the Jakarta Post health news October 2020 edition. Halliday and Hasan's theory of cohesive devices was used to conduct the study. There were XXX demonstrative references found in the 10 news of health topic October 2020 edition as the object of the study. The most demonstrative reference was used by news xxx, which had 368 items, while the least was used by news xxx, which only had 2 items. The specific pattern found in the news by using the types and functions of demonstrative reference is that the news conveys cautions, preventions, suggestions, expectations, and hopes for the reader to understand the current situation conveyed by the news and build a better world after the chaos brought by the virus.&#x0D; Keywords: demonstrative reference, health news, The Jakarta Post
Image collections clustering in large databases on the basis of recurrent optimization

The following paper considers methods for clustering large amounts of data and proposes a modification of the density-based approach to clustering multimedia objects with disturbance. The analysis of the existing DENCLUE method is carried out, and the matrix influence function is introduced, which makes it possible to effectively use this approach in the analysis of multidimensional objects, the collections of images, video and multimedia data in particular. The introduced matrix form makes it possible to increase the speed of clustering due to the absence of vectorization-devectorization of the initial data.
Design and Build Electrical Gamelan as a Cultural Tourism Supporting Object

Widarapayung Wetan, Binangun District, Cilacap Regency is an innovation village entrusted by the Regional Planning, Development, Research and Development Agency (BAPPEDA) of Cilacap Regency to the Cilacap State Polytechnic. The current partner's problem is the difficulty in introducing cultural tourism to tourists visiting Widarapayung Wetan Village. One of the cultural tourism potentials in Widarapayung Wetan Village is a traditional Javanese musical instrument, namely the gamelan. Currently, gamelan cultural activities in Widarapayung Wetan Village have been actively carried out on a regular basis based on the existing schedule of activities. Therefore, in order for gamelan to become a unique attraction, it is combined with electronic technology to become an electric gamelan. The electric gamelan can be used by visitors freely to learn to play the gamelan, while the existing original gamelan can be well preserved for rehearsals and performances. The electric gamelan made are saron and demung instruments. The saron and demung blades use acrylic material. When the acrylic blade is hit/beaten with a hammer, the piezoelectric sensor will receive vibrations when the blade is hit. The vibrations will be converted into electrical energy. The electrical energy will go through the Zener diode and 1 M? resistor, and will enter into IC 4051. IC 4051 in the system functions as a multiplexer that will take only one input according to the tone of the saron or demung instrument blades that are hit. The input will be passed to Arduino for processing. Arduino will issue a sound output in the form of a tone according to the blade that is hit. The electric gamelan tone is the original tone recorded by the saron and demung instruments. The two electric gamelan instruments, saron and demung, were tested together with wiyaga and the head of the Padhang Bulan Widarapayung Wetan art studio. The next activity was socialization with members of the Padhang Bulan art studio and the village apparatus of Widarapayung Wetan.
ORGANIZATION OF A GROUP FORM OF EDUCATION USING CLOUD TECHNOLOGIES

The article deals with the problem of organizing group activities of students in the study of disciplines of engineering and technical profile in a remote format. A block diagram of the organization of a group form of education using cloud technologies is presented. Indicators, criteria and levels for assessing the effectiveness of group work of students from the standpoint of individual assessment, self-assessment, mutual assessment have been developed. Experimental work on the use of a group form of training based on Google cloud applications is described. Statistical analysis of the results of the experimental and control groups was performed.
The Effect of Online Game Addiction and Learning Concentration on Social Science Students' Learning Outcomes in Eight Grage of Private Junior High School Kartika 1-4 Pematang Siantar

This study aims to determine the effect of online game addiction and learning concentration on social studies learning outcomes at Kartika 1-4 Private Junior High School Pematang Siantar. The research method used ex post facto. Data collection techniques using a questionnaire. Respondents were 86 students. The data analysis technique used multiple linear regression. The results showed: 1) in the calculation of online games students of Kartika 1-4 Private Junior High School Pematang Siantar obtained a significant level of 0.241 &gt; 0.05 and Fcount (1,394) &gt; Ftable (3.11) so Ho was accepted, thus there was no significant effect between the games. on the learning outcomes of eighth grade students of Kartika 1-4 Private Junior High School Pematang Siantar. 2) In calculating the learning concentration of Kartika Private Junior High School students 1-4 Pematang Siantar, the significance level was 0.027 &lt; 0.05 and Fcount (5.010) &gt; Ftable (3.11). So, Ho is rejected, thus the effect that occurs is significant between learning concentration on learning outcomes. 3) In calculating online game addiction and learning concentration of Kartika Private Junior High School students 1-4 Pematang Siantar, the significance level was 0.021 &lt; 0.05 and Fcount (4.034) &gt; Ftable (3.11). Thus, there is a significant effect between online game addiction and learning concentration on learning outcomes
Psychological and pedagogical support of educators-to-be in speech development of young children

The article defines the essence of the concept of "psychological-pedagogical support" as a complex system of activities for the organization of optimal conditions and partner support on the part of teachers, realizing opportunities for self-discovery, revealing the creative potential, abilities, inclinations, interests and motives, forming a sense of self-worth and striving for self-realization through the active application of scientific achievements for each student of higher educational institution. The main emphases of scientists regarding interaction with young children in the field of speech development, which should be taken into account by practitioners, are analyzed: the existence of two parallel spheres of speech communication: communication with adults and communication with children; the effect of imitating the speech of an adult; considering speech as an accompanying activity without which no other child's activity can take place fully. Numerous approaches that ensure the effectiveness of psychological and pedagogical support of educators-to-be in planning and organizing forms of interaction with young children are highlighted: reflexive, axiological, competence-based. The algorithm for psychological and pedagogical support of educators-to-be is outlined: determination of the level of ideas and awareness of the psychological characteristics of young children; awareness of the patterns of speech development of young children; understanding the differential selection of effective forms of interaction with children, giving preference to modern methods and techniques; modeling of forms of partnership interaction with parents of pupils; case testing of various forms of interaction during practical training in early childhood groups; presentation of positive experience in various educational circles. The peculiarities of modern forms of interaction with children are analyzed, attention on indirect and direct forms of interaction on the development of speech is focused.
Penerapan Algoritma C4.5 Dalam Klasifikasi Kualitas Sayur Kol Di Kabupaten Simalungun

Cabbage is an annual plant or more in the form of a shrub. One of the centers for cabbage production is in Simalungun Regency, Ancient District. Cabbage has good demand prospects. However, erratic weather factors and plant pests that threaten to make the quality of cabbage vegetables are not good so that the impact on farmers' income is uncertain. In determining the appropriate and unfeasible cabbage, the Datamining Method with the C4.5 Algorithm is used. The C4.5 algorithm can provide a decision tree that is easy to interpret and has good accuracy so that the results obtained are expected to be input and help the agricultural office and farmers to determine the quality of cabbage vegetables that are good according to the target market. Become a reference for further research related to the users of the C4.5 Algorithm.
NGram Approach for Semantic Similarity on Arabic Short Text

Measuring the semantic similarity between words requires a method that can simulate human thought.The use of computers to quantify and compare semantic similarities has become an important research area in various fields, including artificial intelligence, knowledge management, information retrieval, and natural language processing.Computational semantics require efficient measures for computing concept similarity, which still need to be developed.Several computational measures quantify semantic similarity based on knowledge resources such as the WordNet taxonomy.Several measures based on taxonomical parameters have been applied to optimize the expression for content semantics.This paper presents a new similarity measure for quantifying the semantic similarity between concepts, words, sentences, short text, and long text based on NGram features and Synonyms of NGram related to the same domain.The proposed algorithm was tested on 700 tweets, and the semantic similarity values were compared with cosine similarity on the same dataset.The results were analyzed manually by a domain expert who concluded that the values provided by the proposed algorithm were better than the cosine similarity values within the selected domain regarding the semantic similarity between the datasets' short texts.
ANALISIS KESALAHAN EJAAN DALAM ARTIKEL MAHASISWA UNIVERSITAS ISLAM DARUL `ULUM LAMONGAN

This study aims to describe spelling errors in terms of writing letters, writing words, and using punctuation marks in student articles from the Universitas Islam Darul `Ulum Lamongan (Unisda). This research uses a descriptive qualitative method. The data source was obtained from students of the Islamic Unisda with a total of 10 students. The data collection techniques used are documentation, reading, and note-taking techniques. The instrument used to measure spelling errors in student articles from the Islamic Unisda is a data copy sheet. Data analysis techniques carried out in this study were rereading the collected data, analyzing letter writing errors, analyzing word writing errors, analyzing punctuation errors, and concluding the results of the error analysis. Based on this research that has been carried out by researchers, the results found spelling errors are that there are errors in writing letters in student articles from Unisda 221 errors, there are errors in word writing in student articles from Unisda 90 errors, and there are usage errors punctuation in the student's article from the Islamic University Darul Ulum Lamongan 202 errors.
Students Learning Experience on Technological Based during Learning from Home to Respond Pandemic at Universitas Islam Syekh-Yusuf Tangerang

This article aimed to analyze the student learning experiences during the pandemic at Universitas Islam Syekh-Yusuf Tangerang. The researchers used a qualitative method. The collecting data used interviews and observation. Interview conducted on several lecturers and academics to get data analysis. Then examined the results of the interviews to get the essence and data findings that could answer the problems of this study and hypotheses. Based on data analysis the researchers concluded that the digital or technology-based learning experience during the remote learning period in response to the pandemic has indicated that learning was exciting because either lecturers and students have established very synergistic collaborations to produce learning quality that was as expected. Therefore, the results of this study could be a meaningful input for future studies.&#x0D; Keywords: Student Learning Experience, Technology Based Learning, Learning From Home
Classification of SQL injection attack using K-Means clustering algorithm

Structured Query Language (SQL) injection has been the most vulnerable and dangerous attack. This attack can make the attacker retrieve any data from the web application. SQL Injection is classified under code injection attack and is easy to launch due to lack of programming skill in the query. Related studies have mentioned about the SQL injection attack in database manipulation. Nevertheless, they did not mention about the SQL injection features that can be used to detect the SQL attack. Although researchers and practitioners have proposed various methods to address the SQL injection problem, current approaches fail to address the full scope or limitations of the SQL injection attack. To address this problem, we present a classification of SQL injection attack purely on the features of query string using K-Means clustering algorithm. The SQL injection attack is divided into four classes that are Tautology, Inference, Basic Query and Blind Attack based on SQL command features. Our proposed classification of SQL injection attack using K-Means achieved best result tested using Decision Table algorithm with accuracy result for Tautology 99 percent, Inference 100 percent, Basic Query 99 percent and Blind Attack 100 percent.
Oil Spinner Machine to Improve the Quality of UMKM Chips Products in the Community of Food and Beverage Processed Association (IMO) of Sumatera Utara

Home industry is now increasingly in demand by the community as a form of "Usaha Mikro Kecil Menengah (UMKM) " that have simple concepts and promising results. Many business ideas and opportunities that can be realized into a home industry business, one of which is food processing. UMKM have a major contribution to the rolling of the economy of a country, not only as a seed that generates the growth of big business but also provides certain services for the community which for large businesses are considered to be less cost-efficient. The IMO (Ikatan Makanan Minuman Olahan) of Sumatera Utara is one of the communities that oversees several UMKM entrepreneurs spread across Sumatera Utara. Types of snack products that are quite popular are cassava chips, banana chips, and crackers. Almost all chips processing is done by frying. A problem that is often experienced is the level of oil in chips that are still included in the packaging. This is due to the process of draining the oil which is still done manually. It takes a touch of technology to replace the manual process into a mechanical system that is with a spinner or known as a cooking oil drainer. The target and output of this activity is to achieve an increase in the quality of chips production under the IMO through the use of appropriate technology, namely a simple and low-cost oil-spinning machine.
An Analysis of Crossword Puzzle to English Vocabulary Mastery

ABSTRACT&#x0D; In the learning process of teachers still have a very important role in transferring knowledge to their students. In addition, success in teaching is greatly influenced by student learning activities. A teacher must have the ability to empathize, be a unique listener, and can be a facilitator for students in solving their problems by themselves.This research was a descriptive qualitative. The purpose of this research is to increase students’ vocabulary mastery by using crossword puzzle method. The subject of this research were 10 students. It consists of fourth (4) Males and six (6) Females. The instrument of this study a vocabulary test are interview and questionnaire. Based on the results of the interviewfirst, only 60% of students who do not like English because it is considered difficult and 40% like English because it is considered easy. Second, half of or 50% of students memorize a lot of vocabulary and half or 50% don't memorize a lot of vocabulary. Third, all students or 100% of students state that teachers who teach in class are boring and monotonous. The fourth is that all students or 100% know about crosswords. Based on the results of the questionnaire the highest percentage or 100% who answered "Yes" is in the second statement "crossword puzzle method is very excited. While the lowest percentage or 30% who answered" Yes "is the seventh statement" I was very excited by learning English vocabulary ". Furthermore, the highest percentage or 70% for those who answered" No "was the statement to the full" I was very excited by learning English vocabulary ". And the last lowest percentage or 20% who answered"
MISTIC (CHEMISTRY EDUCATION APPLICATION): INNOVATION OF PRACTICAL ANDROID BASED INSTRUCTIONAL MEDIA APPLICATION

Based on the Circular Letter of Kemendikbud Dikti No. 1 of 2020 regarding the prevention of the spread of COVID-19 in Indonesia, all learning activities are turned into online learning. This sudden change caused several new problems in the world of education such as students not being able to learn independently and actively participate optimally, difficulty in having internet data, unsupported signals, and for teachers the difficulty of correcting students' assignments and exercises and not carrying out practicals, while online. One way to solve this problem is to create an Android-based learning media application. This product is a technology that utilizes smartphones with the android platform. This product can be developed to meet the needs of teachers and students when learning online. This product is equipped with a virtual lab and exercises to strengthen students' concepts, students can fill out exercises directly on the product and get feedback from the answers given. Besides, this product is equipped with evaluation questions that can detect the accuracy and speed of students in answering questions. Every time you finish answering questions, the grades and rankings of students in the class are automatically displayed on the student's android screen. This makes students motivated and eager to do evaluations because of the desire to get a higher rank, and is expected to improve student learning outcomes. This product was developed on the fundamental chemical laws topic. This product was developed through Kodular and in collaboration with the Google Forms and Quizizz websites. Kodular is an application developer using block programming. The resulting product has a capacity of 35 MB and is also connected to other sites on the internet. In this product there are menus in the form of competencies, instructions for use, attendance lists, materials, evaluations, developer profiles, feedback, and references.