Reviewerly/exHarmony huggingface dataset:
The Conceptual Framework Modelling the Causality Effect Between Instafamous Credibility and Entrepreneur Action

This paper aims to present a conceptual framework of causal effect between instafamous credibility on the entrepreneurial action among the university’s students who are an Instagram user. The conceptual framework was developed by a literature review of the social media influencer’s credibility construct i.e., the trustworthiness, expertise, and attractiveness and the entrepreneurial behavior (action). The understanding and predicting entrepreneur action are vital because it is understandable that becoming an entrepreneur is quite a complex process of planned behavior to endure by the student. It is, therefore, an opportunity for the stakeholders to explore the benefit of the advancement of social media platform, specifically the Instagram to develop an Instapreneur. The entrepreneur action and source credibility framework will allow us to better understand the impact of various business emergence and identifying what and how it emerges.
KURBATOVS' PEDAGOGICS THE PHENOMENON OF OVERCOMING THE 'PEDAGOGICAL APOCALYPSES'

The term 'Pedagogical Apocalypses' has been increasingly used in scientific works due to the deepening realisation of the growing lag of the global educational system behind the requirements of the rapidly changing world. From our viewpoint, the main paradox of the information society is the lack of application of the long found solutions to the problems which the global community refers to as 'Total crisis'. The article is dedicated to the solution of the problem of overcoming the 'pedagogical Apocalypses' by means of Kurbatovs' Pedagogics.
THE EFFECTIVENESS OF THIEVES STRATEGY TOWARDS STUDENTS’ READING COMPREHENSION AT THE ELEVENTH GRADE OF SMAN 19 TEBO

This research explore the Effectiveness of “thieves” Strategy Towards Students’ Reading Comprehension at the Eleventh Grade of SMAN 19 Tebo. The problems of this research are students lack of vocabulary, students did not have good motivation in reading text and the students have difficulty in comprehending texts. The purpose of the research is to know the effectiveness of THIEVES strategy towards students’ reading comprehension at the eleventh grade of SMAN 19 Tebo. This research focus on the quantitative research. The population in this study all 11 grades at SMAN 19 Tebo. In this study, the total population is 29, consist of class 11 IPS and 11 MIPA. Then, the sample in this study 11 IPS and II MIPA. Based on practical teaching English at SMAN 19 Tebo, the researcher find some problems in the class. Therefore the researcher applies strategy in reading, with this strategy students learn the THIEVES strategy before students read the text. The research findings indicate that the use of THIEVES strategy was able to improve the students’ reading comprehension. The conclusions of this research is supported by the post-test results of students’ reading comprehension at the eleventh grade students of SMAN 19 Tebo. The mean post-test experimental class is 78.75 and in the control class is 71.69. The differerence score between experimental class and control class was 7.06. The researcher find a positive impact on the experimental class. It means that students’ reading comprehension in experimental class was significantly improve and there is significantly different effect between experimental class and control class which teach by using THIEVES and without THIEVES. It indicates that the null hypothesis (H0) is rejected and the alternative hypothesis (Ha) is accepted. It presents that the THIEVES strategy give a significant effect on students’ reading comprehension of report text.
Rules-Based System for Writing Arabic Numerals in Indonesian Words

One of the algorithms stored in natural intelligence is the writing of Arabic numerals in Indonesian words. Algorithms in naturals intelligence are not easy to find. This problem gave us an idea to create artificial intelligence that tries to mimic natural intelligence algorithms. The proposed algorithm for building artificial intelligence is an R-Z rule-based system. This rule-based system contains a knowledge base of R-Z rules and a knowledge base of facts. In the knowledge base, the R-Z rule provides the R rule and the Z rule, while the facts knowledge base provides facts in the form of a definite standard number and an affix word. R-Z rule-based system for reasoning writing Arabic numerals in Indonesian words uses forward chaining. Artificial intelligence designs that mimic naturals intelligence in writing numbers in Indonesian words were made in C using Borland C++ 5.02 software. The experimental results show that by applying the R's rule of seven rules and Z's of twenty-five rules, the R-Z rule-based system can write Arabic numerals in Indonesian words from Arabic numerals "0" to Arabic numerals "9999999". For example, to write the Arabic number "10" in Indonesian words, the R-Z rule-based system starts with the R2 rule. Rule R2 takes action on Z3 to create new facts about Arabic numerals in the Indonesian word, namely "SEPULUH."
Assessing Natural Language Processing

This chapter details evaluation techniques in Natural Language Processing, a challenging sub-discipline of artificial intelligence (AI). It highlights proven methods to provide both fair and replicable results for evaluation of system performance, as well as methods of longitudinal evaluation and comparison with human performance. It recaps pitfalls to avoid in applying techniques to new areas. In addition to direct measurement and comparison of system and human performance for individual tasks, the chapter reflects on the degree of shared human-machine task, scalability and potential for malicious application. Finally, it discusses the applicability of human intelligence tests to AI systems and summarises considerations for devising a general framework for assessing AI and robotics.
TRADITIONS THAT BUILDING THE FUTURE

Review: Konstantinova, N. N. Local History Museum in Chita: a Story (1894–1970s). – Chita : Transbaikal State University : Ulan-Ude : Publ. House of the Republic of Buryatia, 2020. – 208 p. : pic.
PERANCANGAN SISTEM INFORMASI AKUNTANSI PENGENDALIAN PERSEDIAAN BBM KAPAL LAUT DENGAN MENERAPKAN METODE EOQ

This study aims to develop a fuel inventory control system so that it can facilitate monitoring the volume of fuel stock from each bunker ship and can be reported at any time, so that the leadership can estimate the addition of fuel orders to PT. Pertamina for each bunker ship that is adjusted to the incoming fuel request order. If there is a sudden fuel order by the customer, the company can still serve the customer well, so that the fuel stock can be controlled and can be monitored properly at any time.&#x0D; The research method used in the information system monitoring the pump fabrication process is Research and Development (R&amp;D) in this study only until the 6th (sixth) stage and produces the final product in the form of a prototype, so it does not reach the product implementation stage. The six steps are Research and information collecting, Planning, Develop preliminary form of product, Preliminary field testing, Main product revision and Main field testing. This application is made using Macromedia Dream Weaver and MySQL database.
Studi Analisis Bibliometrik Perkembangan Penelitian Bidang Akuntansi Pemerintahan

Threats such as liquidation, competition, and profitability may be of urgent concern to private sector organizations, but are significantly less relevant in a government context. Factors that are more important for the government include long-term stability, the ability to consistently cover annual expenditures and debts, and the management of public funds, the development of accounting in the field of government has become an important role in the administration and governance of government finances so that research in the field of government accounting in recent years is indispensable. This study aims to find out how to study the development of research in the field of government accounting by conductinganalysis bibliometric to investigate references to scientific articles in the field of government accounting. The research method used is a quantitative method to analyze a literature review that summarizes and evaluates a collection of writings on a topic. Research in the field of government accounting occurred at most in 2017. Based on theanalysis bibliometric that has been carried out, research on government accounting is very necessary to meet the needs of stakeholders to assess government accountability and to make political, social, and economic decisions.
ADS Using NER Systems

Abstract: Data accessible over the net is generally unstructured. Offers distributed by different sources like banks, digital wallets, merchants, etc., are one of the foremost gotten to advertising data in today’s world. This information gets gotten to by millions of people on a every day premise and is effortlessly deciphered by people, but since it is generally unstructured and differing, utilizing an algorithmic way to extricate significant data out of these offers is hard. Distinguishing the basic offer substances (for occasion, its amount, the item on which the offer is pertinent, the merchant giving the offer, etc.) from these offers plays a vital role in focusing on the proper clients to make strides deals.This work presents and assesses different existing Named Substance Recognizer (NER) models which can distinguish the desired substances from offer feeds. We moreover propose a novel NER demonstration constructed by two-level stacking of Conditional Arbitrary Field, Bidirectional LSTM and Spacy models at the primary level and an SVM classifier at the moment. The proposed cross breed demonstrate has been tried on offer feeds collected from different sources and has appeared better performance within the offered space when compared to the existing models. Index Terms—Named Substance Acknowledgment, Information Mining, Machine Learning, Stanford NER, Bidirectional LSTM, Spacy, Bolster Vector Machines.
Types of Modality in Teacher-to-Teacher Talk of Forced Online Learning amidst Covid-19 Pandemic

This research aimed at investigating the types of modality in teacher-to-teacher talk of forced online learning amidst covid-19 pandemic.This research was conducted qualitatively by applying content analysis approach.The data of this research were the words and clauses expressing modality uttered by teachers while they are discussing forced online learning.The data were collected by performing participant observation technique.The data then were analyzed through three steps of qualitative data analysis technique, namely: data condensation, data display, and drawing and verifying conclusions.Based on the data analysis conducted, it was found that both modalization (probability and usuality) and modulation (obligation and inclination) were found in teacher-to-teacher talk of forced online learning.Among these types of modality, modalization especially probability was most often used by the teachers in talking about online learning.The result of this study reflects the teachers' judgment on the implementation of online learning.Thus, the government should consider many aspects especially what teachers think in their attempt to make policies regarding the implementation of online learning in Indonesia.
FREEDOM OF SPEECH IN FOOTBALL STADIUMS. ARE FOOTBALL SUPPORTERS ALLOWED TO DO MORE OR LESS THAN AN ORDINARY CITIZEN?

Football fans support their teams and prepare tifo. They present their points of view in football stadiums. They refer to the history, politics, their opponents and current activities of the club. Unfortunately, often they insult and swear a lot. Sometimes fans preach fascist or racist ideas. Are football fans often allowed to do more or less than an ordinary citizen? How does their behaviour relate to restrictions on freedom of speech? Why do they sometimes avoid punishment? Where is the borderline between freedom of speech and unauthorized tifo? The authors analyse issues related to the behaviour of football fans in the context of freedom of speech and try to answer these questions.
Use of a Portable Microscope Combined with a Smartphone to Determine the Authenticity of Brazilian Banknotes and National Driver’s Licenses

This study proposed using a portable microscope combined with a smartphone and application (PhotoMetrix® application) to evaluate the authenticity of Brazilian banknotes (R$50 and R$100) and national driver’s licenses (NDL) through image acquisition (Samsung S7) and chemometric treatment (principal component analysis (PCA)). Six regions of the banknote were analyzed: holographic band; lower and upper tactile regions containing the number referring to the value of the note; microprints above the effigy (obverse); and numbers and the surroundings of the animal formed by microprints (reverse). For NDLs, the regions were the following: the coat of arms of the republic; the state map with microprints; optical ink variation; distorted positive microletters with technical failure; negative guilloche; typographic numbering; micro letter wire; and region with line printing. For the chemometric study with Photometrix®, we selected a region of interest (ROI) of 32 × 32 and 64 × 64 pixels with autoscaled data using the channels red (R), green (G), blue (B), hue (H), saturation (S), value (V), lightness (L) and intensity (I). We obtained excellent results for differentiating banknotes and NDLs, both by visual and chemometric analyses (PCA). This study demonstrates the effectiveness of using a portable microscope and a smartphone as a portable forensic tool that is fast, robust, low-cost and reliable.
IMPLEMENTATION OF ENGLISH FOR SPECIFIC PURPOSES TO ADIWANA UNAGI SUITES UBUD IN INCREASING THE SERVICE QUALITY

Adiwana Unagi Suites is one of the most affected businesses in the hospitality sector during the Covid-19 period, but it is one of the hotels that can survive in Ubud Bali. This hotel has a very high score of 9.6 on booking.com, but throughout 2020 there were several reviews stating that the English of the hotel staff was not good. As long as the hotel is open until the end of 2020 the management has never carried out English language training to hotel staff. The implementation of the English for Specific Purposes training was carried out using an experimental research study which was carried out for six months, from January to June 2020. The implementation was carried out using youtube as a learning medium, and other online platforms such as kahoot, google form and live worksheets. The results of the implementation of the English language training carried out showed progress where during 2020 there was never a tourist review stating a lack of English, as well as an increase in English language skills as indicated by a very significant increase in post-test scores, as well as positive feedback from management.
Incremental autoencoders for text streams clustering in social networks

Clustering data streams in order to detect trending topic on social networks is a chal- lenging task that interests the researchers in the big data field. In fact, analyzing such data needs several requirements to be addressed due to their large amount and evolving nature. For this purpose, we propose, in this paper, a new evolving clustering method which can take into account the incremental nature of the data and meet with its principal requirements. Our method explores a deep learning technique to learn incrementally from unlabelled examples generated at high speed which need to be clustered instantly. To evaluate the performance of our method, we have conducted several experiments using the Sanders, HCR and Terr-Attacks datasets.
The Development of Cooperative-STAD Based Ebook Teaching Materials in Elementary School Courses for PGSD FIP UNIMED Students

Students, and (2) to determine student responses to STAD-Cooperative-Based E-Book Teaching Materials at Elementary Physical Education Course for PGSD FIP UNIMED Students.The research method used is research and development (R&D) by adapting the model using a 4-D model (Define, Design
Implementasi Metode Fuzzy Analytic Hierarchy Process (F-AHP) Untuk Penentuan Kelas Unggulan Di SMPN 2 Tanjung Lago

Education is a continuous process that contains elements of teaching, guidance, training and leadership with the specific aim of transferring various knowledge, values, and cultures. In education at a school, there must be a superior class. The superior class is a class that provides special service programs for students by developing their talents and creativity to meet the needs of students who have the potential for intelligence and talent of students. One way to determine the superior class in a school is to create a web-based application system using the F-AHP method to make it easier for the school to determine which students enter the superior class.
The Role of Artificial Intelligence and Smart Classrooms during Covid-19 Pandemic and its impact on Education

Artificial Intelligence (AI) technology has revolutionized the education sector in terms of conducting classes. Especially during Covid-19 which affected significantly the education community resulting in the shift towards online learning rather than conventional classroom teaching. This study involves experiential learning during Covid-19 lockdown situation in the field of education, learning and teaching. It discusses how education practitioners can deal with Covid19 pandemic using the benefits of AI. AI innovation in the education sector has contributed not only in education but also on human development. This research aims to identify the current situation of online classes and to propose a hybrid model of Education Management System (EMS) and Machine Learning (ML).
Scenario writing Key factors affecting social participation in community-based organizations for addiction prevention

Scenario writing Key factors affecting social participation in community-based organizations for addiction prevention
Vocational High School Students’ Perception Towards English Learning Materials Based on the Social Semiotic Perspective

English learning materials for vocational high school students should meet students' needs for their future work place.Thus, it is necessary to reveal the students' perception towards the English learning materials they use at school based on the social semiotic perspective in order to provide better materials for them.We carried out in-depth interviews to vocational high school students in one of the schools in Semarang.The results show that students need materials which 1) accommodate topics needed in their future workplace, 2) are relevant with the students' language proficiency level, and 3) have relevant registers.Hopefully, this article can be an insight especially for vocational high school teachers and materials developers in developing materials for vocational high school students.
Analysis of Students Cognitive and Social Reading Strategies in Reading Comprehension at The Third Semester

This study examined students’ cognitive and social reading strategies in Economic and Business Department of UPI YPTK Padang. A total of 156 students in three classes were surveyed regarding their reading strategies. The method used in this research was descriptive correlation method. 15 students were taken as samples by using random sampling technique. The results found that there were high statistically significant correlation among the three classes. These findings were discussed in regards to whether correlation in reading strategies could potentially influence learning outcomes and effectiveness of teaching reading
Effect of Idealised Influence, Inspirational Motivation, Intellectual Stimulation and Individualised Consideration on Service Sector Employees’ Performance in Karachi, Pakistan

Transformational leaders motivate their employees in such a way that employees start adopting the vision of the organisation as their own vision. Precisely research concerning relationship between transformational leadership and employee’s performance has been conducted by many researchers as well as in leading sectors and industries of Pakistan. However, there is a dearth of researches that investigates the effect of four dimensions of transformational leadership on employee’s performance in services sector. Therefore, this study was carried out to assess the relationship between transformational leadership and its four dimensions on the performance of employees considering services sector in Karachi, Pakistan. Snowball sampling was utilised and participants were selected among the service sector employees in Karachi, Pakistan. Hypotheses were tested by utilising Smart-PLS. The findings revealed that individualised consideration and idealised influence significantly contributes towards enhanced performance of employees. Contrary to expectation, intellectual stimulation and inspirational motivation was found to be not significant with employee performances’. It is suggested that management of service sector organisations’ should acknowledge the importance of the dimensions of transformational leadership on employees’ performance, which will eventually will lead to the achievement of the strategic goals and tasks defined by the service sector organisation.
Developing e-Booklet Based on Hair Trimming Video for Blended Learning

This study aims to: (1) Develop e-Booklet base on Hair Trimming Video for Blended Learning, (2) to examine the optimization of blended learning learning models using e-booklet and hair trimming videos.This type of research is development research using the Borg & Gall model combined with the blended learning model.The data collected were analyzed using qualitative descriptive analysis techniques.The results of hypothesis testing prove that: (1) The e-booklet and learning video are suitable for use in learning, (2) there is a significant difference between the blended learning outcomes of students who taught using the e-booklet and hair trimming learning videos.This is indicated by the results of data processing and it is concluded that the use of e-booklet based on Hair Trimming Learning Videos for blended learning are more optimal in increasing the competence and knowledge of students in Hair trimming Learning.
An efficient HUIBA Algorithm for Mining High Utility Itemset

Utility Mining is to spot the itemsets with highest utilities, by considering profit, quantity, cost or other user preferences. Mining High Utility itemsets from a transaction database is to seek out itemsets that have utility above a user-specified threshold. Bio inspired algorithm is extremely efficient for mining High Utility Itemset(HUI), but it will not find all HUI in the database and the quality is poor within the number of discovered HUI. A replacement framework using BA algorithm is proposed to rectify this issue. The proposed algorithm is more efficient in terms of quality and convergence speed when put next to other algorithms.