Reviewerly/exHarmony huggingface dataset:
MAKING USE OF A ‘SPACY’ MODULE IN THE NATURAL LANGUAGE PROCESSING

This article discusses the use and tools of the spaCy module, which is written in Python machine language, in the Natural Language Processing (NLP), considered as one of the main areas of computer linguistics. A text in a natural language contains separate units (symbols) and can be divided into several interrelated parts belonging to different levels. The article, therefore, presents methods for tokenizing text using the spaCy library tools as well as the lemma, POS, tag, dep, shape, alpha, and stop attributes generated in a pipeline process.
Implementasi Konsep Kampus Berkelanjutan di Universitas Indraprasta PGRI Berdasarkan Kategori Tata Letak dan Infrastruktur

A sustainable campus is a concept that implements sustainable development in aspects of campus environmental management. A sustainable campus emerges from academic awareness of the importance of the campus contributing to maintaining the integrity of the current environment for future generations, starting on the campus environment. This research was conducted on the basis of measuring the application of the sustainable campus concept in the site and infrastructure category within the UNINDRA B Campus environment. Data collection was carried out through observation, measurement surveying, interviews and documentation studies to obtain the necessary data. Then the data obtained was processed using scoring and mixed method research methods, then analyzed descriptively. In this study, respondents were parties who understood development developments reviewed in the category of UNINDRA B site and infrastructure facilities. After measuring each indicator in the site and infrastructure category, the following scoring is obtained: 1) Ratio of Open Space to Total Area (180 points), 2) Ratio of Open Space to Higher Education Population (30 points), 3) Area area planted with forest plants (60 points), 4) area planted with plants (100 points), and 5) area that cannot be impregnated with water (0 points). The total score for the site and infrastructure category is 370 of the maximum points for all indicators, namely 1500 points. Based on the measurement results of implementing a sustainable campus within UNINDRA B, it still needs to be improved. Improvements in the achievement of site and infrastructure indicators that have not been maximized need to be pursued such as expanding open space along with the addition of facilities inside, expanding space planted with forest vegetation and also reducing pavement areas that cannot be impregnated with water.
IMPLEMENTASI CMS UNTUK COMPANY PROFILE STUDI CASE PUSAT INOVASI PRIMAKARA

As time goes by the development of technology is growing. Many benefits can be drawn from technological developments, one of which is business development. The STMIK Primakara campus has a division called the Innovation Center providing innovations to startup activists or encouraging startups to be able to develop further in the future by providing innovation and collaborating with business incubators at STMIK Primakara. However, information media or company profiles are still not well-developed, making it difficult in the future to provide innovative content to startup activists. Knowing this, the authors are interested in creating a company profile website by implementing a Content Management System (CMS). The result of this research is a website that is able to deliver innovative content so that website visitors will get appropriate information and can also encourage the creation of startups that can grow big in the future.
AUGUMENTED REALITY AND VIRTUAL REALITY IN EDUCATION

Virtual reality is defined as the person who using the VR feels the imaginary world created by computer technology as a real world. VR games mostly used all over the world. Augmented reality person sees the real world by adding some extra virtual graphics, sound, images that are created by computer technology, social media filters. The AR application development in educational setting in the past twenty-five year passed and the tool I three-dimensional anatomy. In the year (1995 – 2009) 80 AR studies in education published that are reported by web of science (WOS). Educational institutions trying to develop VR in few years, to teach with virtual environment by visualize in physical classroom. Virtual laboratories, medical scenarios holographic optical elements (HOEs) and lithography-enabled devices are introduced in AR and VR. And some basic structure of AR and VR headsets. In current years, several researchers have concerned with implementing AR and VR technologies in the(lit) plan management domain, where these technologies have displayed a major contribution to the development of the interpretation plan management aspects in countless areas. The use of immersive netnography is crucial for conducting thorough service experience studies regarding AR, VR and metaverse from a phenomenological perspective KEYWORDS Augmented reality, virtual reality, education, holographic optical element, lithography enabled devices, headsets, virtual environment, construction project management immersive netnography, covid-19 on virtual guitar
V.S. Solovyov and A.N. Ostrovsky: Creative Convergence and Repulsion as a Reflection of The Era of Change

The problem of the influence of the ideas of Vl.S. Solovyov on the theatrical art of the Silver Age was considered in the articles by Y.D. Kuzin, N.O. Osipova, E.S. Shevchenko, N.G. Yurina, O.A. Dashevskaya, O.K. Strashkova, I.B. Rodnyanskaya. The attention of all researchers was focused on the dramatic experiments of Vl.S. Solovyov, in which both elements of the theater of the medieval and the nineteenth century were found. In the synthesis of these elements, the researchers saw the prototype of the early twentieth century theater. In this article, the question of possible creative intersections of Vl.S. Solovyov and A.N. Ostrovsky is asked for the first time. The material for the study was the work of Vl.S. Solovyov of the 1880–1890 and “late” plays by A.N. Ostrovsky. Special attention is paid to the analysis of such texts by Vl.S. Solovyov, as “Readings on God-manhood”, “The General Meaning of Art”, “The Meaning of Love”, and from the plays of A.N. Ostrovsky, in addition to the “late” ones (from “Dowry” to “Not of this world”), the text of “Thunderstorms” is used. With a general ontological approach in understanding the essence of the problem, when carrying out analytical procedures, methods such as historical and cultural (to comprehend the specifics of the era), biographical (to reproduce significant facts from the life of Vl.S. Solovyov and A.N. Ostrovsky), cultural-philosophical (when analyzing texts). The article discusses the specific features of the era of the 1870s in Russia, a response to which became the plays of A.N. Ostrovsky and “Readings on God-Mankin” by Vl.S. Solovyov. The reasons for Vl.S. Solovyov to the elements of theatrical aesthetics are explained, these elements are compared with the theoretical and practical considerations of A.N. Ostrovsky. As a result, the author of the article argues that despite the similarity of views, which was facilitated by the era, there were fundamental differences. These differences are associated with a different approach to the use of elements of theatrical aesthetics: practical in the plays and texts of A.N. Ostrovsky and theoretical and philosophical in the texts of Vl.S. Solovyov. In the “late” plays of A.N. Ostrovsky, questions of a philosophical nature were raised, the answers to which could be found in the texts of Vl.S. Solovyov.
ANALISA DAN PERANCANGAN SISTEM INFORMASI PENJUALAN DAN PENGELOLAAN PERSEDIAAN PADA PT ALFAJORES BALI ENAK MENGGUNAKAN METODE WATERFALL

PT Alfajores Bali Enak is a shop that sells cakes, cookies, and various other chocolate preparations. Currently, the recording of sales and inventories by PT Alfajores Bali Enak is still done manually. This causes errors in recording sales and inventory, which makes reports inaccurate. With the analysis and design of this information, the system is expected to assist in recording sales transactions and inventory management. This study uses the waterfall method, starting with needs analysis, planning, modeling, and maintenance. The results of this study are in the form of DFD, ERD, Database, and User Interface designs as an overview of the system to be designed. The method of this information system can later assist users in the process of recording transactions so that they become more accurate. This research only reached the design stage, where it is expected to reach the implementation stage in the future.
Sentiment Analysis Tool for Amazon Product Reviews

Abstract: Sentiment analysis has become a vital componentof modern data analysis, particularly for businesses that relyon customer input to improve their products and services. We employ Natural Language Processing (NLP) techniques to analyze sentiment in Amazon product reviews in this study. Our major goal is to categorize the assessments based on whether they are good, negative, or neutral. We’ll use Amazon product review data, which includes a large number of reviews from various categories, such as books, electronics, and clothes.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI JUAL BELI MOTOR MURAH AGUS MOTOR

An information system is a system within an organization that brings together daily transaction processing needs that support managerial organizational functions in strategic activities of an organization to be able to provide certain outside parties with the reports needed. The company can be said to be a unit in a system. which influence each other, to achieve a goal. But sometimes in achieving these goals, several obstacles are often found, including data processing that is still done manually, and the increasing number of transactions every year. In running its business, the owner of AGUS MOTOR performs all its business activities manually, both recording sales and purchases data, searching for sales and purchase data, and in recapitulating income and expenditure data. Based on these problems, a motorcycle showroom information system is needed. Building an information system, requires analysis of requirements and system design, so that the system implemented is in accordance with user needs. The purpose of this research is to model business processes, analyze requirements specifications and system design, and evaluate requirements specifications and system interface designs. This study uses BPMN to model business processes and in this problem is described by UML (Unified Modeling Language). computerized and the resulting information can meet the needs of users as system users.
Animated and Oil Painting Image Generation from Real World Images using Super-Pixel based SLIC Algorithm

Now-a-days people are connected to one or the other social media platforms. Individual's privacy preserving is a challenging problem as images posted can go viral in the media. So, cartoon images are shared to enhance the individual's privacy. On the other hand, political cartoons primary goal is to humorously express a view or a fact about a political issue or viewpoint. Sophisticated image processing filters and other ML or DL techniques are usually applied for transformation of real-world photos into cartoon and oil painting images. This paper introduces a novel Super-Pixel-SLIC algorithm which converts the original images into animated or oil painting images. We have implemented ML based cartoonizing techniques and proposed Super-Pixel based SLIC algorithm. Amongst all the techniques, the proposed algorithm transformed efficiently in terms of time of execution and sharpness of the image.
A Study of the Research Trend on the Military Service System in Korea: Focusing on Domestic Journals in the Last 10 years

The purpose of this study is to analyze research trends on the military service system in Korea for the past 10 years. A total of 256 papers were extracted as a result of searching with the keywords 'military service', 'conscription system', and 'recruitment system' in the Korean Journal Citation Index and a total of 162 papers that fit the research purpose was analyzed. In terms of research topics, studies on conscientious objection were the most common, followed by improvement of the special military service system and introduction of the military recruitment system. In terms of academic journals, law studies accounted for the most, which is interpreted as conscientious objection to military service is a legal issue. Next, research on the recruitment system was conducted in various fields such as law, military science, public administration and policy studies, and sociology. Literature studies were the most common, and empirical studies or case studies using actual data were very few. Based on the research results, suggestions for future research directions were presented.
The Relations between eWOM’s Information Characteristics and eWOM’s Information Acceptance about the Programs of Lifelong Education: Focused on the Mediated Effects of eWOM’s Information Credibility and Usefulness

The increase of Electronic (online) Word of Mouth (eWOM) about programs in lifelong education raises such questions as ‘How useful eWOM is to learners or latent learners?’ and ‘How is eWOM processed and accepted by learners or latent learners?’ To answer the questions this study analyzes the process of eWOM by learners or latent learners based on literature reviews about theories and models and explains the structural relations among eWOM’s information characteristics and acceptance. The purpose of this study is to investigate positively the influences of eWOM’s information characteristics (consensus, vividness, and timeliness) on eWOM’s information acceptance mediated by eWOM’s information credibility and usefulness. For this purpose, data are collected from 386 learners or latent learners who experienced eWOM about programs in lifelong education through SNS. The results are as follows: first, the research model fit with the survey data. Therefore eWOM’s information may be useful to lifelong leaners or latent learners. Second, eWOM’s information credibility and usefulness positively influenced eWOM’s information acceptance and the influence of eWOM’s information credibility is stronger than other variables. Third, eWOM’s information characteristics influence eWOM’s information acceptance mediated by eWOM’s information credibility and usefulness. According to the results, discussions were suggested.
Penerimaan Sistem E-Learning Pada Sekolah Menengah Kejuruan Menggunakan Technology Acceptance Model

The E-Learning system has begun to be implemented in every school in Indonesia as a learning medium. E-Learning is a system that uses electronic media as a learning tool, for example a smartphone or computer with an internet connection in the operating process. Of course, it is hoped that this will provide a positive role for the productivity of student learning outcomes in absorbing each lesson, and can also improve the quality of the performance of teaching teachers by using the two TAM (Technology Acceptance Model) constructs. Questionnaires were used in the method of collecting data from a population of 1200 consisting of the extended family of SMK 2 Ciputat by taking 100 respondents as a sample. The test results show that the two constructs studied have an important influence on each variable. To test whether the test device (instrument) used meets the criteria for the trial device which is adequate and appropriate, so as to create an output that is in line with what is being tested, before conducting data analysis according to the findings of the data that has been collected previously, a data test is carried out through Test Validity, Reliability, Normality, Linearity, Regression Test, and Correlation Coefficient Test and Coefficient of Determination.
Design and Evaluation of an Online Educational Game for the Development of Communication and Response Skills in the Service Industry

The service industry has the closest contact with people, and frontline service personnel usually need to face all customer's problems. In response to the post-epidemic learning trend, many service industry training has started using distance learning. Online learning is more challenging to create a sense of the context of a real situation to arouse learners'
SMS SPAM DETECTION USING MACHINE LEARNING

In recent times, there has been considerable interest among people to use short communication service (SMS) as one of the essential and straightforward dispatches services on mobile bias. The increased popularity of this service also increased the number of mobile bias attacks similar as SMS spam dispatches. SMS spam dispatches constitute a real problem to mobile subscribers. this worries telecommunication service providers as it disturbs their guests and causes them to lose business. to enhanced SMS spam filtering performance by combining two of data mining task association and bracket. FP- growth in association is employed for mining frequent pattern on SMS and Naive Bayes Classifier is used to classify whether SMS is spam or ham. Training data was using SMS spam collection from former exploration. The result of using collaboration of Naive Bayes and FP- Growth performs the highest average accuracy of 98,506 and 0.025% better than without using FP- Growth for dataset SMS Spam Collection v. 1, and improves the perfection score; therefore, the bracket result is more accurate.
Ecommerce DApp-A Decentralised Ecommerce Project

Improving efficiency and performance is an important topic in the world today. As it is well-known, cooperative computing is an effective and traditional approach, and it is widely used in various fields. Inspired by this idea, take E- commerce for example, Security is one of its important indicators. In E-commerce, the security technology has become a major issue restricting the rapid development and popularization of E- commerce.With the advent of new technologies, Blockchain plays a major role in ecommerce sector.With the characteristics of decentralization, persistency, anonymity and auditability, blockchain technology is a new tool to solve the product traceability, information security and privacy, payment efficiency and cost reduction in cross- border e-business.Existing E-commerce models are trapped in a dilemma between the proof of ownership and privacy protection. To address this issue,We have made a platform Shoppingverse which is a blockchain based ecommerce.we design a privacy-preserving business protocol by employing private smart contracts in the negotiation phase. The protocol allows counterparties make deals without the disclosure of private information such as identities, addresses, and phone numbers. Moreover, we employ the zero- knowledge proof to guarantee the ownership. Key Words: Ethereum, Blockchain, Ecommerce, Smart Contract.
Fake Product Review Monitoring System

unless some mining operations are applied to it. As there are a number of fake reviews so opinion mining technique should incorporate Spam detection faux or fake reviews that have been created by organizations or by the people for detection system by promoting or demoting target products
OBJECT DETECTION AND TEXT TO SPEECH CONVERSION BASED ON YOLOV7 USING DEEP LEARNING

Abstract—Object detection is a computer vision technique that locates objects in images or videos by creating bounding boxes around them. In this paper, we propose a model based on object detection using deep learning technologies along with text to speech conversion.An object detection system uses a deep learningmodel to detect objects using YOLO (You Only Look Once) and text-to- speech (TTS) to synthesize a voice announcement about each object. The system we used is built using python OpenCV tool and Google text to speech (gTTS) is used to convert text into audio segment. First variations of YOLO algorithm are compared and then the best one is used according to result we get it by training it on COCO dataset. After the object is detected, the name of the detected object is displayed then the voice output is generated by using Google Text To Speech(gTTS) module. The contribution we make is to present a visual substitution system that uses features extraction and matching to recognize objects with a voice feedback. Index Terms—Object Detection, YOLO, Open CV, python, Google Text To Speech
Investigating the Affecting Factors of Labor Efficiency Improvement

Since the number and combination factors of labor efficiency in many organizations are different due to the differences in the characteristics of the internal and external environments, this research aims to investigate the affecting factors of labor efficiency (case study: manufacturing companies) Samim Parham, Wahid Halim, HDPE Standard, and Badam Yar) are presented. In this applied research, library and field methods and questionnaire tools were used to collect data. The number of 250 employees of the above companies and the sample size of 124 people were determined using the Cochrane method. In this research, the Likert scale questionnaire was used to score the factors affecting the efficiency of the workforce, and the reliability of the questionnaire was 9.38% using Cronbach's alpha test. It has been found that it is a sign of the high accuracy and validity of the questionnaire. SPSS software and the mean test of a population (t-test) were used to analyze the data. The results show that all the hypotheses of the research have been confirmed and The main influencing factors of work welfare factors with an average score of 13.10 The most important group of factors affecting the improvement of labor force efficiency was recognized. Individual-related factors with an average score of 13.8, management style with an average score of 13.4, job-related factors with an average score of 13.5, and organizational characteristics with an average score of 13.58 were placed in the next categories of importance. From the secondary and sub-standard factors, the factor of feeling safe and comfortable in the work environment, according to the summation of the opinions of the people studied in the first category, conscientiousness, commitment, and responsibility of employees in the second category, non-discrimination and respect for justice among employees in the third category. Having the spirit of cooperation and work. A group in the fourth category, suitable facilities, and equipment in the work environment in the fifth category among the sub-criteria effective in increasing the efficiency of employees are recognized as important and top five priorities.
Review of Predictive Policing and Artificial Intelligence

Book: Predictive Policing and Artificial Intelligence, ed. John McDaniel and Ken Pease, 1st ed. (New York: Routledge, 2021), 330 pages, ISBN-10 0367210983 (hardcover), ISBN-13 9780367210984 (hardcover), https://www.routledge.com/Predictive-Policing-and-Artificial-Intelligence/McDaniel-Pease/p/book/9780367701369.