scholarly journals Pemanfaatan Iot (Internet Of Things ) Untuk Praktikum IPA Pada Materi Gerak Lurus Berubah Beraturan (GLBB) Dalam Pembelajaran Daring Selama Pandemi Covid-19

2021 ◽  
Vol 7 (4) ◽  
Author(s):  
Fathurrahmaniah Fathurrahmaniah ◽  
Widia Widia ◽  
Muarif Islamiah ◽  
Fitria Sarnita

Title (Utilization Of Iot (Internet Of Things) For Science Practices In Conditional Straight Motion Materials (GLBB) In Online Learning During The Covid-19 Pandemic). Science subjects, in several chapters of lessons that require practicum. The application of science has been widely developed as a demonstration tool when explaining abstract science concepts. Basically, science is learning that underlies all experimental activities. Science tools that can be used as learning media are used as practicum tools or demonstration props for science material, instrumentation in universities and science material on straight motion at school. The novelty in this research is the Development of Internet-based Science Practicum Tool Of Thigs. So as to be able to develop students' interest in learning science in the midst of the covid-19 pandemic. The novelty in this research is the Development of Internet-based Science Practicum Tool Of Thigs. So as to be able to provide an alternative for online science subject practicum in the midst of the covid-19 pandemic. This research uses the R & D (Research And Development) method. The model used in this study is the ADDIE model. Meanwhile, the analysis of the implementation of the lesson plans during the learning process was 3.706 with a very good category. From the observations of 2 observers that the use of IoT is very helpful for students in understanding the concept of GLB in the midst of covid 19. This shows that in addition to improving student learning achievement, the use of the Internet of Things (IoT) can increase student interest in learning.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jean-Éric Pelet ◽  
Erhard Lick ◽  
Basma Taieb

Purpose This study bridges the gap between sensory marketing and the use of the internet of things (IoT) in upscale hotels. This paper aims to investigate how stimulating guests’ senses through IoT devices influenced their emotions, affective experiences, eudaimonism (well-being), and ultimately, guest behavior. The authors examined the potential moderating effects of gender. Design/methodology/approach Research conducted comprised an exploratory study, which consisted of interviews with hotel managers (Study 1) and an online confirmatory survey (n = 357) among hotel guests (Study 2). Findings The results showed that while the senses of smell, hearing and sight had an impact on guests’ emotions, the senses of touch, hearing and sight impacted guests’ affective experiences. The senses of smell and taste influenced guests’ eudaimonism. The sense of smell had a greater effect on eudaimonism and behavioral intentions among women compared to men. Research limitations/implications This study concentrated on upscale hotels located in Europe. Further research may explore the generalizability of the findings (e.g. in other cultures, comparison between high-end and low-end hotels). Practical implications Managers of upscale hotels should apply congruent sensory stimuli from all five senses. Stimuli may be customized (“SoCoIoT” marketing). IoT in hotels may be useful in the aftermath of the COVID pandemic, as voice commands help guests avoid touching surfaces. Originality/value IoT can be applied in creating customized multi-sensory hotel experiences. For example, hotels may offer unique and diverse ambiances in their rooms and suites to improve guest experiences.


Author(s):  
Zelal Gültekin Kutlu

In this study, the periodical differences of industrial revolutions, which is one of the effects of technological developments in the industrial field, and the last stage of it are mentioned. With the latest industrial revolution called Industry 4.0, machines work in harmony with technology at every stage of industrial areas. This period, known as Industry 4.0 or the fourth industrial revolution, refers to the system in which the latest production technologies, automation systems, and the technologies that make up this system exchange data with each other. In addition to the information technologies and automation systems used in Industry 3.0, industrial production has gained a whole new dimension with the use of the internet. With internet networks, machines, operators, and robots now work in harmony. At this point, the concept of internet of objects becomes important. Therefore, another focus of the study is the concept of internet of objects. There are some assumptions about the uses, benefits, and future status of the internet of things.


2019 ◽  
Vol 21 (6) ◽  
pp. 1344-1361 ◽  
Author(s):  
Alex van der Zeeuw ◽  
Alexander JAM van Deursen ◽  
Giedo Jansen

In this article, we set out to explain different types of social uses of the Internet of Things (IoT) using forms of capital and Internet skills. We argue that the IoT platform entices different manners of social communication that are easily overlooked when focusing on the novelty of smart “things.” How people use the IoT socially is crucial in trying to understand how people create, maintain, or absolve social relations in a networked society. We find inversed effects for social capital, income and education on private use, and on sharing IoT data with a partner. Sharing with acquaintances and strangers is predicted by cultural activities. Sharing IoT data with acquaintances can especially be attributed to social relations that escape the immediate household. We conclude that varying figurations of capital and Internet skills predict how the IoT is used socially.


Author(s):  
Yu. MELESHKO

The article considers the problems of the development of the industrial Internet of things in the Republic of Belarus as one of the system-forming technologies in the industrial sector. Based on the analysis of terminological features of the Internet of things, the concept and main characteristics of the industrial Internet of things are revealed. The economic consequences of using this technology in industrial production are shown. The formation and development of the Internet market of things in the Republic of Belarus in the context of its infrastructure component, spheres of use, main producers and consumers is considered. The factors preventing the wider use of the Internet of things in the industry of Belarus, and the development prospects of the market under consideration are revealed.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Paulina GACKOWIEC ◽  
Marta PODOBIŃSKA-STANIEC

Industry 4.0 and the Internet of Things are now very common concepts as solutions that can revolutionize the industry. Constanttechnological progress increases the possibilities of using computer tools and solutions to support processes in industry and productionoptimization. The use of the Internet of Things is particularly important in complex processes in mining, enabling the extractionof valuable information from data. The integration of physical facilities in the enterprise enables the digitization of productionprocesses and the increase of efficiency and security.This article presents an overview of the selected internet of things platforms and analytical tools that can be used in industry, withparticular emphasis on the mining sector. It is pointed out, that the number of suppliers of IoT technologies and analytical toolsoffering advanced data analytics services for industry is significant and constantly evolving. The aim of the article is to evaluateselected IoT solutions based on the following criteria: offering predictive analytics, implemented artificial intelligence (AI) ormachine learning (ML) algorithms, a mining-oriented process approach, advanced data visualization, interoperability, real-timedata capture, remote device management and cloud-based technology. The review was prepared to provide knowledge about IoTvendors operating on the market, as well as to indicate the functionalities that are the most popular among solutions.


Author(s):  
Zelal Gültekin Kutlu

In this study, the periodical differences of industrial revolutions, which is one of the effects of technological developments in the industrial field, and the last stage of it are mentioned. With the latest industrial revolution called Industry 4.0, machines work in harmony with technology at every stage of industrial areas. This period, known as Industry 4.0 or the fourth industrial revolution, refers to the system in which the latest production technologies, automation systems, and the technologies that make up this system exchange data with each other. In addition to the information technologies and automation systems used in Industry 3.0, industrial production has gained a whole new dimension with the use of the internet. With internet networks, machines, operators, and robots now work in harmony. At this point, the concept of internet of objects becomes important. Therefore, another focus of the study is the concept of internet of objects. There are some assumptions about the uses, benefits, and future status of the internet of things.


2021 ◽  
Author(s):  
Maria de Jesus Diaz Lara ◽  
Jessica Garizurieta Bernabe ◽  
Ruben Alvaro Gonzalez Benitez ◽  
Jazmin Morales Toxqui ◽  
Monica Karel Huerta

2018 ◽  
Vol 7 (1.7) ◽  
pp. 71 ◽  
Author(s):  
Nivedhitha G ◽  
Dr Carmel Mary Belinda M.J ◽  
Nivedhitha G

A bus rider often faces the problem of losing track with the bus timing and position. Towards the goal of making it easy for the student boarding college buses, we make use of the Internet of Things (IoT) technology. It provides the followingservices for the bus users: 1) location and progress information of the required bus 2) tracking nearby buses and3) automatic attendance registration of the bus. With this system, we describe various challenges and a few potentialsolutions such that the bus riders feel more convenience with this integration of Internet of Things (IoT) to transportservices.


Author(s):  
Apurv Singh Yadav

Over the past few decades speech recognition has been researched and developed tremendously. However in the past few years use of the Internet of things has been significantly increased and with it the essence of efficient speech recognition is beneficial more than ever. With the significant improvement in Machine Learning and Deep learning, speech recognition has become more efficient and applicable. This paper focuses on developing an efficient Speech recognition system using Deep Learning.


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