Website Pages Research Articles

Pandawan Website Design Based Content Management System As Media E-commerce Transaction

As the Regulation of the Minister of Research, Technology and Higher Education of the Republic of Indonesia No. 9 of 2018 concerning the accreditation of scientific journals article 4 which mentions the requirements of scientific journals, it has been announced on the official website page of ARJUNA (National Journal Accreditation), that regarding the Circular of the Director of Intellectual Property Management Number 101 / E5.2 / SE / 2018 dated 18 January 2018 regarding Accreditation of Scientific Periodicals only accepts and processes the proposed national scientific (periodical) journal accreditation that has been managed electronically, so that the assessment process will be easier, faster, accurate and transparent (ARJUNA, 2018). But in reality in the era of the industrial revolution 4.0, the Government was not well organized. There are a total of 3 (three) problems from 2 (two) sides of website users, namely there are still many institutions or agencies that in the management use conventional processes so that people who want to publish their articles digitally are constrained with limited access, there are still minimal agencies that have not been able to provide a forum to provide educational support facilities and Open Journal System (OJS) in the form of attractive website-based e-commerce. In this study there are 2 (two) data collection methods, namely observation and literature study methods. The results of this study are Pandawan e-commerce based websites that provide journal publisher services that can be managed online, as well as solving publisher problems in managing journals online.

Peculiarities of Predicting Business Cycles in the Ukrainian Economy

It is argued in the article that any common person is able to get an idea about the economy’s conditions and its forthcoming change, if he/she learns information Business Tendency Surveys (BTS), i. e. with combination indicators computed on the basis of indicators from these surveys.
 A review of the methods for constructing several types of integral composite indicators, based on indicators of BTS of enterprises by selected economic activities, is provided. Indicators of business climate, computed by the methodology of ifo-Institute and European Commission, and indicators of confidence by economic activity are analyzed. Being ahead of the curve, these indicators give good signals on change in the phases of business activity cycles in European economies and allow one to have rather precise short-term predictions of change in GDP and output by economic activity. 
 The analysis covers dynamic series of these indicators for the Ukrainian economy, with making the conclusion that now only the indicators of confidences for four economic activities can be used for predicting the business cycle for 2 to 3 quarters. The Business Climate Indicator, computed by the European methodology, has good correlation with GDP, but it is only one quarter ahead of it. The Business Climate Indicator, computed by the methodology of ifo-Institute, did show rather good correlation with GDP, but could not demonstrate its good qualities as for the German economy. Unfortunately, this indicator could be computed only for the period before 2013, because subsequently its components were withdrawn from survey questionnaires. 
 One of the main recommendations given in the article is as follows: an organization performing BTS of enterprises (namely, the State Statistics Service of Ukraine) needs to more actively propagate the information about various composite indicators that can obviously be demanded by a broad range of statistical information users. These indicators should be, inter alia, displayed on the home page of the official web-site of the State Statistics Service of Ukraine together with hot news (probably, in a graph form together with macroeconomic indicators).

INFRASTRUCTURE FOR LARGE SCALE HARVESTING OF WEBOMETRIC INDICATORS

The main purpose of scientific rankings is not only comparison, but also stimulating the development of universities and research institutes, improving the effectiveness of their educational and research processes. However, existing webometric ratings are not suitable for this task because of the lack of the possibility of their analysis and verification. The solution is to change the approach to webometric measurements, to perform them based on the principles of regular collection and openness of source data. The article discusses the indicators used in the tasks of academic webometrics, their reliability and stability, substantiates the need for regular collection of the values of these indicators to improve the quality of data and analyze their dynamics. Based on the experience of implementing a project to research the Russian academic web space (http://www. webometrix.ru), problems are analyzed that arise when collecting the values of webometric indicators of sites of research organizations and institutions of higher education on a global scale with a frequency of at least 1 time per month.The author describes a distributed system for collecting values of webometric indicators and evaluates the necessary degree of parallelization of the process. The developed approach is universal for the tasks of collecting large amounts of information by the method of extracting data from website pages, and the collection of webometric data is also relevant for the tasks of analyzing other thematic segments of web space, such as library websites.

Sentiment classification of hotel service review on traveloka sites using naïve bayes classifier (NBC) and binary logistic regression

Utilization of social media sites such as Traveloka can help hotel marketing by providing information as review related to search and hotel bookings online. The given review could be a feedback to the related hotel as well as to assist visitors in choosing the right hotel. Feedback information as a review is important data text, so we need to develop a method to classifiy it then the right method used for classifying text data is text mining. Sources of data are obtained from web scraping process which aims to obtain online data on website page by collecting visitor review’s of Favehotel and Gunawangsa Hotel from Traveloka sites. Text mining methods used in this study is Naïve Bayes Classifier (NBC) and Binary Logistic Regression which is the process of sentiment labeling based on Lexicon dictionary. Word cloud visualization shows that the highest keywords that lead to the both of the hotel with the largest positive sentiment are ‘clean’ and ‘comfortable’. A comparison methods between NBC and Binary Logistic Regression for Favehotel and Gunawangsa Hotel obtained a decision that Binary Logistic Regression method with SMOTE was better than NBC where AUC value in testing data for Favehotel is 0.84 and Hotel Gunawangsa is 0.82.

Preanalytical issues related to routine and diagnostic glucose tests: Results from a survey in Spain.

IntroductionDiabetes mellitus (DM) is one of the most prevalent diseases worldwide. The objective of this study was to find out under what preanalytical conditions routine and diagnostic glucose tests are performed across Spanish laboratories; and also what criteria are used for DM diagnosis.Materials and methodsAn online survey was performed by the Commission on Quality Assurance in the Extra-Analytical Phase of the Spanish Society of Laboratory Medicine (SEQC-ML). Access to the questionnaire was available on the home page of the SEQC-ML website during the period April-July 2018. Data analysis was conducted with the IBM SPSS© Statistics (version 20.0) program.ResultsA total of 96 valid surveys were obtained. Most laboratories were in public ownership, serving hospital and primary care patients, with high and medium workloads, and a predominance of mixed routine-urgent glucose testing. Serum tubes were the most used for routine glucose analysis (92%) and DM diagnosis (54%); followed by lithium-heparin plasma tubes (62%), intended primarily for urgent glucose testing; point-of-care testing devices were used by 37%; and plasma tubes with a glycolysis inhibitor, mainly sodium fluoride, by 19%. Laboratories used the cut-off values and criteria recognized worldwide for DM diagnosis in adults and glucose-impaired tolerance, but diverged in terms of fasting plasma glucose and gestational DM criteria.ConclusionPreanalytical processing of routine and DM diagnostic glucose testing in Spain does not allow a significant, non-quantified influence of glycolysis on the results to be ruled out. Possible adverse consequences include a delay in diagnosis and possible under-treatment.

PREDICTION OF DESIGN ASPECTS OF WEB PAGE BY HTML PARSER

Inform plays a very important role in life and nowadays, the world largely depends on the World Wide Web to obtain any information. Web comprises of a lot of websites of every discipline, whereas websites consists of web pages which are interlinked with each other with the help of hyperlinks. The success of a website largely depends on the design aspects of the web pages. Researchers have done a lot of work to appraise the web pages quantitatively. Keeping in mind the importance of the design aspects of a web page, this paper aims at the design of an automated evaluation tool which evaluate the aspects for any web page. The tool takes the HTML code of the web page as input, and then it extracts and checks the HTML tags for the uniformity. The tool comprises of normalized modules which quantify the measures of design aspects. For realization, the tool has been applied on four web pages of distinct sites and design aspects have been reported for comparison. The tool will have various advantages for web developers who can predict the design quality of web pages and enhance it before and after implementation of website without user interaction.

Perancangan Sistem Monitoring Kehadiran Mahasiswa Pada Laboratorium FTKI UNAS Menggunakan Teknologi RFID

The recording of student attendance at the FTKI UNAS laboratory is still done manually which causes UNAS to have to input a large amount of attendance data every day. This often results in recording errors caused by human error, not to mention if there is fraud by manipulating attendance data. This study uses a microcontroller to design a student attendance monitoring system digitally by identifying student code from the RFID Tag. The system is designed using RFID and NodeMCU modules which will be sent to the MySQL database and will be displayed on the website page. The test results from 100 data obtained 100% identification success with an average reading distance of 4cm. of 100 presence test data, the system can store data with 100% accuracy for the corresponding data, and can read the presence of errors with 100% accuracy.

The role of personified sources in the construction of COVID-19 information for media consumers

The article deals with the peculiarities of the representation of the COVID-19 pandemic in the Ukrainian online media. In particular, these are the ways of presenting the topic of coronavirus on the main pages of the sites of the leading Ukrainian Internet media and the style of the titles of publications on this topic. It was found that the topic of COVID-19 is a priority for Ukrainian online media, as evidenced by various ways to draw attention to this topic on the main pages of Ukrainian online media sites. In particular, this is the introduction of the relevant sections, subsections and headings. Particular attention is paid to the presence of elements of the so-called «sports» style in the titles of publications. In particular, these are the words «record» and «anti-record».

Peculiarities of the representation of the COVID-19 pandemic in the Ukrainian online media

The article deals with the peculiarities of the representation of the COVID-19 pandemic in the Ukrainian online media. In particular, these are the ways of presenting the topic of coronavirus on the main pages of the sites of the leading Ukrainian Internet media and the style of the titles of publications on this topic. It was found that the topic of COVID-19 is a priority for Ukrainian online media, as evidenced by various ways to draw attention to this topic on the main pages of Ukrainian online media sites. In particular, this is the introduction of the relevant sections, subsections and headings. Particular attention is paid to the presence of elements of the so-called «sports» style in the titles of publications. In particular, these are the words «record» and «anti-record».

Covid-19 misinformation on facebook Bangladesh context

This research describes how unconsciousness and anxiety spread through Facebook during the coronavirus crisis in Bangladesh. The study analyzes the content of a total of 73 selected fake content related to COVID-19 on Facebook between February to June 2020. Researchers examine the features of the known fake news by placing the content in certain categories and explore how Facebook users post false information without crosschecking and make the public panick. This work shows that, in some cases, mainstream media cover the wrong story by posting it on their website page, post it to social media, and result in users believing in such non-authentic content. But myths, misinformation, and fraud fuel up making it more difficult for the government to reduce risk, and the health crisis due to Covid -19 pandemic is turning into a national economic crisis as well. The paper also provides several suggestions by asking media to provide accurate information and increase public awareness to avoid the spread of misinformation.

Design of a Knowledge Management System for the Research-Teaching Nexus: Evidence from Institutional Audit Reports

Aim/Purpose: The need for Higher Education Institutions (HEIs) to maximize the use of their intellectual property and strategic resources for research and teaching has become ever more evident in recent years. Furthermore, little attention is paid in developing an enabling system that will facilitate knowledge transfer in the Research-Teaching Nexus (RTN). Hence, this study assesses the current state of practice in knowledge management of the nexus in higher education in Oman. It also explores the context of how Knowledge Management System (KMS) for the nexus can be designed and utilized by HEIs and challenges them to rethink their traditional approaches in managing their knowledge as-sets to boost individual and organizational learning. Background: This study provides a Knowledge Management-based framework and design of a knowledge management system that support the academic community towards the improvement of the nexus. This study sets out ideas from various academic and professional experts on how academic stakeholders in the higher education can improve and promote knowledge transfer and make better use of its knowledge and research assets for teaching and learning. It stressed the importance of having the knowledge assets or resources that can easily be pooled, accessed, and made available to its intended stakeholders. Methodology: Data were gathered from 29 out of 49 institutional quality audit reports of all HEIs in Oman. The panel comments were coded and analysed to extract valuable insights regarding the management of knowledge assets in research. Additionally, data were gathered from the institutional accreditation outcomes page of the same website. Manifest and latent content analyses were used in reporting the findings of the panel. Contribution: The study will contribute to a greater understanding and acceptance of Knowledge Management (KM) in higher education and extended the body of knowledge concerning knowledge management for the RTN. Findings: The reports revealed a very limited practice of the nexus in terms of people and culture, structure ad processes, and computing and web technologies. A few staff are involved in RTN work, there is an uneven understanding of the RTN among staff, limited joint research between staff and students are some of the reasons for this. Significantly, there is no explicit research framework or policy for the RTN, and systems and/or mechanisms are limited. Further-more, the reports did not account any use of computing and web technologies for the nexus. These limitations can lead to students with less academic, research, and graduate skills. Hence, this study presents a feature design of a KMS that incorporates various RTN best practices, as informed by the reports and literature. The design will allow the staff to utilize the research assets in the classroom, at the same time, engages students in research and scholarly under-takings. Recommendations for Practitioners: All HEIs must have a innovative system that integrates a formal agenda and approach, and set initiatives, strategies, policies, and procedures for knowledge management in utilizing research assets for teaching and learning. It must be designed so that RTN practices remain up-to-date, relevant, and responsive to the needs of the stakeholders, as well as, address academic accreditation challenges. Recommendation for Researchers: Researchers can evaluate the knowledge management of RTN practices of other HEIs outside of Oman to effectively recommend the proper course of action for teaching and learning improvement. Impact on Society: This study will redefine the role and contribution of HEIs, which are key players in advancing a knowledge economy. HEIs are expected to be powerhouses where academic knowledge is discovered, created, disseminated, shared, and re-invented. They must be able to fully grasp the value of managing knowledge to be able to effect positive and purposeful change to the community. Future Research: Future work should include staff and student surveys that examine the knowledge management need of the learning organization to better inform the design of a KMS for the RTN. Thereafter, future research can test the stage to test the effectiveness of the conceptual design.

Research on the Automatic Extraction Method of Web Data Objects Based on Deep Learning

This paper represents a neural network model for the Web page information extraction based on the depth learning technology, and implements the model algorithm using the TensorFlow system. We then complete a detailed experimental analysis of the information extraction effect of Web pages on the same website, then show statistics on the accuracy index of the page information extraction, and optimize some parameters in the model according to the experimental results. On the premise of achieving ideal experimental results, an algorithm for migrating the model to the same pages of other websites for information extraction is proposed, and the experimental results are analyzed. Although the overall effect of the experiment is not as good as that of the page information extraction in different websites, it is far more effective than that of using the model directly on new websites. A new method is proposed to improve the portability of the information extraction system based on machine learning technology. At the same time, the deep nonlinear learning method of the depth learning model can prove deeper features, can have a more essential description of the abstract language, and can better express and understand sentences from the syntactic and semantic levels.

COMPOSITE TRADEMARKS: A STUDY OF ACTIVE TRENDS IN NOMINATION

Revival of small and medium-sized enterprises under the conditions of anti-Russian sanctions facilitates a surge of new names for this kind of economic activity and its products. This fact substantiates the urgency of the given study. The object under investigation includes composite trademarks, i.e. proper names used by various companies to nominate their products and services. Logos or brands also belong here. While creating a new trademark, modern companies orient towards its presentation in mass media, and specifically towards their production advertisement through Internet on the pages of social networking sites, via hashtags and mobile applications. In accordance with its functions, a trademark should be informative, salient and expressive and, at the same time, taking into account the specificity of the sign functioning in the Internet environment, it should not be long and heavy. This explains the popularity of composite words in this sphere; due to their multi-stem composition, composite words can perform the function of a trademark and be an effective way of information presentation and attraction of attention. The article analyzes trademark nominants used in the sphere of services and made up of composite words and singles out thematic groups on extralinguistic grounds (kind of service) motivating their formation in the process of creative word building. The author comes to the conclusion that being a means of economy of effort in speech, composite words can reflect the content that should be advertized by the trademark in an expressive and substantial way, and the impact of these units is reinforced by the fact that the composite structure creates the effect of a language game.

591 The Australian Genetic Heart Disease Registry: 13 Years on

The Australian Genetic Heart Disease (AGHD) Registry was established in 2007 with the goal to recruit every Australian family with a genetic heart disease. It has become an invaluable resource for patient education, research studies and raising awareness of genetic heart diseases. The AGHD Registry is supported by 7 specialised clinics across Australia. Patients and at-risk relatives are recruited from clinics or self-referral. Written informed consent is required. Clinical and genetic information are collected and entered in to a central registry database. Families with inherited cardiomyopathies (e.g. hypertrophic cardiomyopathy [HCM], familial dilated cardiomyopathy [DCM], arrhythmogenic right ventricular cardiomyopathy [ARVC], isolated left ventricular noncompaction [LVNC]), or primary arrhythmogenic disorders (e.g. long QT syndrome [LQTS], catecholaminergic polymorphic VT [CPVT], Brugada syndrome [BrS]) and familial valve diseases are eligible. A website and Facebook page have been created. To date, 2407 individuals from 1432 families have enrolled. Of these, 1241 (52%) are male and 1724 (72%) have a clinical diagnosis of disease while 683 (28%) are at-risk relatives. Those with HCM contribute the biggest subgroup, 969 (40%), with other diseases comprising smaller sub-groups [DCM, 144 (6%); ARVC, 65 (3%); LVNC, 72 (3%), LQTS, 276 (12%), CPVT, 53 (2%), and BrS, 88 (4%)]. More than ten collaborative studies have been published using the Registry cohorts to date. The AGHD Registry is a unique resource understanding genetic heart diseases in Australia. It provides accurate information for families, health professionals and researchers, and has contributed to building an evidence-base to improve management of families with genetic heart diseases.

Filtering Concept for Web Learning

The fast development of the WWW presents uncommon difficulties for broadly useful crawlers and web crawlers. The Former strategy used to slither site pages was FOCUS (Forum Crawler Under Supervision).This undertaking presents an aggregate conduct learning calculation for web creeping. The aggregate conduct learning calculation creep the site pages dependent on specific watchword. Discriminative learning removes just the related URL of the specific catchphrase dependent on separating. The objective of this venture is to creep applicable gathering content from the web with negligible overhead. The undesirable URL is expelled from the website pages and the site page slithering is decreased by utilizing the aggregate conduct learning. The site pages must be removed dependent on certain learning procedures and can be utilized to gather the undesirable URL'S.

History and folklore of basmati rice

Basmati is an important food item as well as export commodity. Indian subcontinent has been bestowed by Mother Nature for this exclusive food and production area. Three colour variants have been known in Basmati as in many other rice varieties. Basmati surpasses all other scented varieties in shape, appearance, taste and quality. It has been the subject of debate and discussion in many seminars, symposia and adorned pages of books, magazines, websites and newspapers world over. In addition to its special cooking quality and medicinal value, it is a sought after donor in number of breeding programmes. So far, the earliest reported record of word Basmati is that of Heer Ranjha of Waris Shah (1766). This review presents additional records on word Basmati, historical area of cultivation, folk songs, folk tales, proverbs, associated with Basmati in states of Himachal Pradesh, Punjab, Uttarakhand, UP and Bihar. Basmati is not only an ambrosial food item but has been used to convey various aspects of life as a teaching medium, used as simile and as an adjective too. In addition it finds place in prayer offered to God. Of all the states, Uttarakhand seems to be proud and the richest source of Basmati folklore. This review on basis of large number of folkloric records corroborate with Dr. Khush’s postulation of Himalyan belt as Centre of diversity and spread of aromatic rices. DOI: https://doi.org/10.25174/2249-4065/2019/95207

Enhanced Gesture Recognition Text to Speech Browser for Visually Challenged

Web has understood an astonishing change in human access to learning and information. The need of plotting an upgraded program for the ostensibly tried. The present structure helps the apparently tried people to use the information in the web satisfactorily, by changing over the substance in the site page to voice for their better use. The customer can look through the substance and indispensable information from the web by simply composing the URL. The site page substances are removed by JSOUP HTML parser. The isolated substance will be scrutinized out by Text to Speech (TTS) engine. The weights in this system are the apparently tried need to type URL the required in the change box, there are no contrasting options to control TTS and there are no decisions for investigating through site pages. The proposed structure is to arrange talk affirmation engine.

ARTIFICIAL INTELLIGENCE SYSTEM FOR IDENTIFYING ROBOT BEHAVIOR ON A WEB RESOURCE

The architectural implementation of a machine learning system for identifying a robot on a web resource by behavioral factors is considered. The article discusses how to build software architecture for a machine learning system whose task is to determine the behavior of anonymous users. Behavioral factors for identification are a set of factors describing various components, each of which may be characteristic of the behavior of the robot. Weka software provides a mechanism for training on designed data models describing human and robot behavior. The learning algorithm – the “method of nearest neighbours”, provides the construction of images based on the largest number of combinations of factors that describe one of the models. Data models for training are stored in a file on the hard disk in the form of matrices of feature descriptions of each of the types of behaviors. The article discusses software and algorithmic solutions that will help solve the problems of combating fraudulent clicks, spam and distributed multi-session attacks on the server, as well as reducing the level of confidence in the website for search engines. The article discusses software and algorithmic solutions that will help solve the problems of fighting click fraud, spam and DDOS attacks, as well as reducing the level of trust of a web site for search engines. Because a large number of illiquid and malicious traffic reduces search positions and reduces the TIC (thematic citation index) and PR (page rank) of the site, which reduces the profitability of the web resource. A large number of illiquid and malicious traffic reduces search positions and reduces the thematic citation index and search ranking of site pages, which leads to a decrease in the profitability of a web resource. The results of this article are the proposed behavior analysis system, a description of the technical implementation shell and a system training model. The statistics for comparing malicious traffic after connecting the system to a web site are also given. The implementation language was selected as Java. Using this system possibly allows cross-platform integration of the system, both on Linux and Windows. Data collection from the site, to determine the role of the user, is carried out using JavaScript modules located on the web resource. All data collection algorithms and user information storage periods are implemented within the framework of the European Data Protection Regulation. The system also provides complete anonymity to the user. Identification is carried out exclusively using fingerprint tags.

Implementation of Parallelized K-means and K-Medoids++ Clustering Algorithms on Hadoop Map Reduce Framework

The electronic information from online newspapers, journals, conference proceedings website pages and emails are growing rapidly which are generating huge amount of data. Data grouping has been gotten impressive consideration in numerous applications. The size of data is raised exponentially due to the advancement of innovation and development, makes clustering of vast size of information, a challenging issue. With the end goal to manage the issue, numerous scientists endeavor to outline productive parallel clustering representations to be needed in algorithms of hadoop. In this paper, we show the implementation of parallelized K-Means and parallelized K-Medoids algorithms for clustering an large data objects file based on MapReduce for grouping huge information. The proposed algorithms combines initialization algorithm with Map Reduce framework to reduce the number of iterations and it can scale well with the commodity hardware as the efficient process for large dataset processing. The outcome of this paper shows the implementation of each algorithms.

Search Engine Optimization with Google-Web

Search engine optimization is a technique to take a web document in top search results of a search engine. Web presence Companies is not only an easy way to reach among the target users but it may be profitable for Business is exactly find the target users as of the reason that most of the time user search out with the keywords of their use rather than searching the Company name, and if the Company Website page come in the top positions then the page may be profitable. This work describes the tweaks of taking the page on top position in Google by increasing the Page rank which may result in the improved visibility and profitable deal for a Business. Google is most user-friendly search engine to prove for the all users which give user-oriented results. In addition ,most of other search engines use Google search patterns so we have concentrated on it. So, if a page is Register on Google it Is Display on most of the search engines.