scholarly journals RANCANG BANGUN ABSENSI MAHASISWA AMIK IBRAHIMY BERBASIS WEB MENGGUNAKAN PHP DAN MYSQL

2020 ◽  
Vol 3 (1) ◽  
pp. 206-212
Author(s):  
Meli Okviani
Keyword(s):  
Huge Number ◽  
Web Based ◽  
Absence Status

The attendance list in AMIK Ibrahimy still applies manual way. The problems faced in this case are students sometimes do not find the attendance list paper since it is gone and there sometimes appears deceitfulness since the students can easily change their absence status to presence. The researcher wants to make web-based attendance list to enable the staffs and the lecturers in identifying the students’ presence in the attendance list, recapitulating the monthly attendance as well as identifying which students are present or absent during the lecture. To solve the problems, it is then made web-based attendance list of AMIK Ibrahimy students that can enable the staffs and the lecturers in processing the attendance list, recapitulating the attendance list in order to avoid any deceitfulness of students. The researcher intentionally uses web that can be accessed through laptop or computer for processing the attendance list. The attendance list application that is designed aims at helping the AMIK Ibrahimy students attendance list that is web-based. Through this web-based attendance list, it is expected that it can be more accurate, faster, and easier in processing the information even with the huge number of students.

scholarly journals Using Social Media Trends to Provide Disaster Early Warning Systems and Disaster Assessment

2019 ◽  
Vol 8 (12) ◽  
pp. 4510-4516
Keyword(s):  
Social Media ◽  
Early Warning Systems ◽  
Tropical Storm ◽  
Warning Systems ◽  
Huge Number ◽  
Web Based ◽  
Disaster Assessment ◽  
Information Assets ◽  
Informal Communities ◽  
Area Data

Tremors, floods, dry season, and other normal perils cause billions of dollars in monetary misfortunes every year around the globe. A huge number of dollars in philanthropic help, crisis credits, and advancement help are consumed every year. However endeavors to lessen the dangers of normal perils remain generally ungraceful crosswise over various risk types and don't really concentrate on regions at most astounding danger of debacle. Informal communities are assuming an undeniably significant job as early cautioning frameworks, supporting with quick debacle appraisal and post-fiasco recuperation. There is a requirement for both the general population and fiasco help offices to all the more likely see how web based life can be used to survey and react to catastrophic events. This work directs a various leveled multistage investigation dependent on numerous information assets, consolidating internet based life information and monetary misfortunes. This work attracts regard for the way that during a catastrophe, residents go to internet based life and most of tweets contain data about the tropical storm as well as its contact with negative estimation. This paper researches whether the mix of web based life and geo-area data can add to an increasingly proficient early cautioning framework and help with calamity evaluation.

scholarly journals Enhanced Text Mining Methodology in Social Media Platform

2019 ◽  
Vol 8 (12) ◽  
pp. 4857-4861
Keyword(s):  
Sentiment Analysis ◽  
Future Research ◽  
Huge Number ◽  
Emotional Information ◽  
Web Based ◽  
Media Platform ◽  
Negative Implication ◽  
Number Of Individuals ◽  
Everyday Communication ◽  
Information Requests

For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions & sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web & characterizing it as indicated by their polarities., regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work

scholarly journals An Integrative Resource for Network-Based Investigation of COVID-19 Combinatorial Drug Repositioning and Mechanism of Action

2020 ◽  
Author(s):  
AKM Azad ◽  
Shadma Fatima ◽  
Fatemeh Vafaee
Keyword(s):  
Combination Therapy ◽  
Mechanism Of Action ◽  
Drug Repositioning ◽  
Clinical Investigation ◽  
Cost Effective ◽  
Similarity Score ◽  
Drug Combinations ◽  
Huge Number ◽  
Web Based ◽  
Therapeutic Development

<p>Repurposing of the existing medications has become the mainstream focus of anti-COVID-19 drug discovery as it offers rapid and cost-effective solutions for therapeutic development. However, there is still a great deal to enhance efficacy of repurposing therapeutic options through combination therapy, in which promising drugs with varying mechanisms of action are administered together. Nonetheless, our ability to identify and validate effective combinations is limited due to the huge number of possible drug pairs. Yet, there is no available resource which can systematically guide to identify or choose the effective individual drugs or best possible synergistic drug combinations for the treatment of SARS-CoV-2 infection. To address this resource gap, we developed a web-based platform that displays the network-based mechanism of action of drug combinations, thus simultaneously giving a visual of the cellular interactome involved in the mode of action of the chosen drugs. The platform allows the freedom to choose two or more drug combinations and provides the options to investigate network-based efficacy of drug combinations and understand the similarity score, primary indications, and contraindications of using these drugs combinations. In a nutshell, the platform (accessible via: <a href="http://vafaeelab.com/COVID19_repositioning.html">http://vafaeelab.com/COVID19_repositioning.html</a>) is of the first of its type which provides a systematic approach for pre-clinical investigation of combination therapy for treating COVID-19 on the fingertips of the clinicians or researchers.</p>

Fuzzy Multi-Criteria Decision Making Methods for E-Commerce Issues

2018 ◽  
pp. 204-242 ◽  
Author(s):  
Mohamed Naili ◽  
Abdelhak Boubetra ◽  
Abdelkamel Tari
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Support Systems ◽  
Multiple Criteria Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Evaluation ◽  
Huge Number ◽  
Ranking Problem ◽  
Web Based ◽  
Internet Technologies

Nowadays, internet technologies make of people's life easier by providing a huge number of websites and web-based support systems to help users in their daily surfing and transactions through online services such as buying, selling, booking…. This luxury of having multiple options and offers has generated the need for more sophisticated systems to deal with multiple criteria decision making problems especially in case of fuzzy evaluation. In this chapter, the authors give an overview of the E-commerce field where they focus on one of its crucial recent problems, it is the ranking problem. After discussing some issues of this field, some of well known mathematical and bio-inspired methods, which have been developed to solve the problems related to fuzzy multi-criteria decision making will be presented and explained. In order to show some recent applications of the discussed methods, the authors present some case studies already published in the literature.

Fuzzy Multi-Criteria Decision Making Methods for E-Commerce Issues

2016 ◽  
pp. 20-58
Author(s):  
Mohamed Naili ◽  
Abdelhak Boubetra ◽  
Abdelkamel Tari
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Support Systems ◽  
Multiple Criteria Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Evaluation ◽  
Huge Number ◽  
Ranking Problem ◽  
Web Based ◽  
Internet Technologies

Nowadays, internet technologies make of people's life easier by providing a huge number of websites and web-based support systems to help users in their daily surfing and transactions through online services such as buying, selling, booking…. This luxury of having multiple options and offers has generated the need for more sophisticated systems to deal with multiple criteria decision making problems especially in case of fuzzy evaluation. In this chapter, the authors give an overview of the E-commerce field where they focus on one of its crucial recent problems, it is the ranking problem. After discussing some issues of this field, some of well known mathematical and bio-inspired methods, which have been developed to solve the problems related to fuzzy multi-criteria decision making will be presented and explained. In order to show some recent applications of the discussed methods, the authors present some case studies already published in the literature.

scholarly journals Fake News Detection on Social Media using Machine Learning Techniques

2020 ◽  
Vol 9 (7) ◽  
pp. 940-943
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Fake News ◽  
Huge Number ◽  
Web Based ◽  
Distributed Information ◽  
Learning Techniques ◽  
Day By Day

: Web based life administrations, as Facebook and Twitter, Renren, Instagram, and linkedin have recently become an enormous and persistent supply of day by day news. These stages give a huge number of clients and give numerous administrations, for example, content arrangement and distributing. Not all distributed information via internet based medium is dependable and exact. Numerous individuals attempt to distribute fake and mistaken news so as to control general conclusion. Counterfeit news might be intentionally made to advance money related, political and public premiums, and can lead to unsafe effects on people convictions and choices.. In this paper we examine different systems for recognizing counterfeit information via internet based networking medium. Our point is to locate a dependable and right model that arranges a given article as fake or genuine. For identification of fake articles we use machine learning algorithms.

scholarly journals Comparative Analysis of Sentiment Analysis on Social Media

2021 ◽  
Vol 9 (1) ◽  
pp. 885-889
Author(s):  
B Ramakantha Reddy, Dr. R Lokesh Kumar
Keyword(s):  
Sentiment Analysis ◽  
Future Research ◽  
Huge Number ◽  
Emotional Information ◽  
Web Based ◽  
Assessment Study ◽  
Negative Implication ◽  
Number Of Individuals ◽  
Everyday Communication ◽  
Information Requests

For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions & sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web & characterizing it as indicated by their polarities., regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work.

scholarly journals An Integrative Resource for Network-Based Investigation of COVID-19 Combinatorial Drug Repositioning and Mechanism of Action

2020 ◽  
Author(s):  
AKM Azad ◽  
Shadma Fatima ◽  
Fatemeh Vafaee
Keyword(s):  
Combination Therapy ◽  
Mechanism Of Action ◽  
Drug Repositioning ◽  
Clinical Investigation ◽  
Cost Effective ◽  
Similarity Score ◽  
Drug Combinations ◽  
Huge Number ◽  
Web Based ◽  
Therapeutic Development

<p>Repurposing of the existing medications has become the mainstream focus of anti-COVID-19 drug discovery as it offers rapid and cost-effective solutions for therapeutic development. However, there is still a great deal to enhance efficacy of repurposing therapeutic options through combination therapy, in which promising drugs with varying mechanisms of action are administered together. Nonetheless, our ability to identify and validate effective combinations is limited due to the huge number of possible drug pairs. Yet, there is no available resource which can systematically guide to identify or choose the effective individual drugs or best possible synergistic drug combinations for the treatment of SARS-CoV-2 infection. To address this resource gap, we developed a web-based platform that displays the network-based mechanism of action of drug combinations, thus simultaneously giving a visual of the cellular interactome involved in the mode of action of the chosen drugs. The platform allows the freedom to choose two or more drug combinations and provides the options to investigate network-based efficacy of drug combinations and understand the similarity score, primary indications, and contraindications of using these drugs combinations. In a nutshell, the platform (accessible via: <a href="http://vafaeelab.com/COVID19_repositioning.html">http://vafaeelab.com/COVID19_repositioning.html</a>) is of the first of its type which provides a systematic approach for pre-clinical investigation of combination therapy for treating COVID-19 on the fingertips of the clinicians or researchers.</p>

The PBL-Evaluator: a web-based tool for assessment in tutorials

1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  
Web Based

Using Popular Mobile Devices in Voice Therapy

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer
Keyword(s):  
Exercise Behavior ◽  
Voice Therapy ◽  
Pure Oxygen ◽  
Mobile Platforms ◽  
Self Monitoring ◽  
Web Based ◽  
Motivational Messages ◽  
Related Information ◽  
Health Related ◽  
Tailored Approach

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.

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