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The significant decrease in agricultural land and the rapid development of hydroponic system technology have brought a huge challenge to farmers. This paper describes the NFT-I (Nutrient Film Technique based on IoT) hydroponic system, and it is a variant of traditional NFT and Floating Root (RF) systems. The system measures several parameters, such as temperature, water level, and acidity (pH). The system collects the information using sensors connected to Arduino microcontroller and Raspberry PI to store the collected data. The results show that this system can reduce the electricity consumption by 91.6%; on the other hand, it helps farmers to increase the effectivity and efficiency on monitoring and controlling NFT-I Hydroponic Farm. Finally, in these times of confinement due to coronavirus disease (COVID-19), in which the economy has decreased, and the needs are multiple, this NFT-I system could help people to create their vegetable growing system quickly and cheaply.

Wearable systems are promising Internet of Things (IoT) solutions that have attracted researchers’ attention in the last decade. They are getting more consideration after the COVID-19 pandemic. Information Quality (IQ) is essential for obtaining value from wearable IoT systems. In our earlier work, we proposed a complete framework that systemically developed a total IQ assessment of the IoT systems. The framework was initially validated by conducting a comparison study. Therefore, this paper aims to validate the utility of the earlier framework by using a single-case experiment. This experiment studies the use of the framework in defining IQ assessment for medical wearable IoT devices. The methodology of the experiment involves conducting literature surveys. This paper successfully uses wearable systems as a case to test the assessment processes of the IQ framework for the IoT systems. However, the case effectively indicates the importance of the framework pillars: the data quality dimensions and the IoT elements by assessing the medical wearables.

The wearables' market is rapidly evolving, with applications ranging from healthcare and activity monitoring to emerging domains such as drones and haptic helmets. Wearable-based contact tracing is gaining increased attention in the COVID-19 era for more efficient disease prevention. Therefore, it is of timely relevance to identify the leading existing wireless contact-tracing solutions and their suitability for wearables. Existing trade-offs of contact-tracing applications require a thorough analysis of technical capabilities, such as accuracy, energy consumption, availability, sources of errors when dealing with wireless channels, privacy challenges, and deterrents towards a large-scale adoption on the wearables market. Based on extensive literature research, we conclude that decentralized architectures generally offer a better place in a trade-off in terms of accuracy and user eagerness to adopt them, taking into account privacy considerations, compared to centralized approaches. Our paper provides a brief technical overview of the existing solutions deployed for contact tracing, defines main principles that affect the overall efficacy of digital contact tracing, and presents a discussion on the potential effect of wearables in tackling the spread of a highly contagious virus. acceptedVersion Peer reviewed

Due to the personal and material restrictions caused by the COVID-19 pandemic, the teaching of robotics has been greatly affected in recent months due to its practical nature. This work aims to explore possibilities for the continuation of this teaching remotely. A simple teaching methodology will be proposed, listed and compared simulators softwares on the most diverse platforms, and the possibility of using remote laboratories will be analyzed. The idea is to present a set of solutions, so that teachers can analyze and select the possibilities that best identify themselves and that best suit the specifics of their class.

This study aims to test the readiness model and the impact of integrated information systems by assessing the impact of using e-learning during the COVID-19 pandemic. Based on data from e-learning users collected through the survey obtained, structural equation models and path analysis were used to test the research model. The sample consisted of e-learning users from rural campuses. In this case, the students of STMIK Sumedang and UIN Bandung. The research sample was obtained by distributing questionnaires through the WA Group and email. As many as 169 respondents filled out the questionnaire and stated that they were ready to use e-learning. The results showed that optimism and innovation had a positive effect on system use. The quality of the system and the quality of information are the main factors driving the use of the system. Also, this study tries to provide a literature review of the latest research published in the field of information systems, especially in rural areas.

Digital transformation in e-health is a well-known challenge problem reported from several studies and from several dimensions. In addition, it has been verified a gap in the utilization of new technologies as differential tool in the war against the Covid-19 pandemic. In this paper, we present an ongoing research effort which is characterized for supporting a digital transformation gap found in a public primary healthcare system. Therefore, it can be seen as an interesting case study approach to tackle some challenges found in Covid-19. Utilizing smart bands by groups of different type of voluntaries, where vital signals were collected in a digital data fashion and then evaluated in public health unit. A recommendation system (RS) algorithm was also developed to understand users´ behaviors, based upon their vital signals. In addition, we utilized a simulator software to highlight people movement and predictable scenarios of Covid-19 contamination. This last effort provides a visualization on how the proposal could also help in a real ordinary monitoring scenario. Initial results from this research work indicates a differentiated approach to tackle challenges in digital transformation in a public health scenario, especially in a pandemic. In addition, our experiments illustrate that the adoption of some computational technologies require mainly changes on the present behavior, from governments and people, to be successful approaches to individual protection inside public environments.

Corona Viruses are a group of viruses that can cause diseases such as colds, severe acute respiratory syndrome (SARS) and the Middle East Respiratory Syndrome (MERS). A new type of corona virus has been discovered after it was identified as the cause of the spread of one of the diseases that started in China in 2019. This disease is considered one of the most dangerous things in the world, which directly affected many areas and led to high financial losses. The risk in this disease lies in its wide spread and the difficulty in dealing with and responding to it. So remote control technologies is the best solution for monitoring the patient's condition and monitoring the change of symptoms. The internet of thing one of modern technology which aims to shares files, software, programs and other tools to allow user to uses the devises with each other to apply the communication between them. it includes many devices communication between them by intelligent decisions. building modern IOT system based smart devices and sensors is the best solution to detect the patient of COVID-19 at real time. The study shows how effective device to detect of COVID-19 patient in IOT system.

To combat the spread of COVID 19, the World Health Organization suggests a large-scale implementation of COVID 19 tests. Unfortunately, these tests are expensive and cannot be provided and available for people in rural and remote areas. To remedy this problem, we will develop an intelligent clinical decision support system (SADC) for the early diagnosis of COVID 19 from chest x-rays which are more accessible for people in rural areas. Thus, we collected a total of 566 radiological images classified into 3 classes: a class of COVID19 type, a Class of Pneumonia type and a class of Normal type. In the experimental analysis, 70% of the data set was used as training set and 30% was used as the test set. After preprocessing process, we use some augmentation using a rotation, a horizontal flip, a channel shift and rescale. Our finale classifier achieved the best performance with test accuracy of 99%, f1score 98%, precision of 98.60% and sensitivity 98.30%.

In challenging COVID-19, the tourism sector must conduct digitization due to fulfill “less contact economy” development program. In this pandemic situation, the government of Nusa Dua Bali develops Business Process Reengineering (BPR) of Tourism Activities E-marketplace that involving local entrepreneurs as the user. This paper objective was to determine the factors that were affecting the acceptance of e-marketplace with case study local tourism entrepreneurs in Nusa Dua Bali. The TARIM model used in this research was a modified model of conventional Technology Acceptance Model - Technology Readiness Index (TAM-TRI) model by inserting the Technology Availability and Computer Self Efficacy into the model. The analysis technique used in this research was the Structural Equation Model Using Partial Least Square method. Results showed that the Readiness factor had a significant direct impact on the Acceptance of e-marketplace. While the significant indirect effects were given by Technology Availability and Perceived Usefulness factors.

This paper presents how the COVID-19 pandemic has changed the course of the mobile robotics market, showing the status of mobile robots in three stages: before, during and after the COVID-19 pandemic. By analyzing these stages, it is possible to estimate what awaits this market in the future. From the many applications of mobile robots found during the COVID- 19 pandemic, as will be shown later, it is clear that mobile robots will be an important part of the future influencing the accelerated growth of their market and development.