scholarly journals Sistem Pendukung Keputusan Penerangan Ruangan Berbasis IoT Menggunakan Protokol MQTT dan Fuzzy Tsukamoto

2020 ◽  
Vol 2 (2) ◽  
pp. 304-313
Author(s):  
Ahmad Fauzan Hakim ◽  
Wirarama Wedhaswara ◽  
Ahmad Zafrullah Mardiansyah
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Light Intensity ◽  
The Internet ◽  
Light Conditions ◽  
Light Bulb ◽  
Application Program ◽  
Inappropriate Use ◽  
Decision Making System ◽  
The Internet Of Things

Inappropriate use of a light bulb in light conditions in the room causes electricity to go to waste. To conserve electricity and keep the lights from breaking quickly, it needs to be done to measure the condition of the light around the lamp. For that it requires a decision-making system of the lighting room based on the Internet of things and using MQTT protocol and fuzzy tsukamoto logic methods. The MQTT protocol used is CloudMQTT to store data or be called a broker. CloudMQTT has 4 important instance info, that is server, user, password, and port. 4. That instance info is used to connect the application program with the broker in order for the system to subscribe and publish from broker to application. For fuzzy tsukamoto combination of rules built up from the three functions of membership, that is the intensity of light, time, and the condition of the light. A combination of rules from two variables is light intensity and time generates 20 combinations of rules. Deffuzification on fuzzy tsukamoto earned by taking a centralized average.

scholarly journals Rancang Bangun Jemuran Otomatis Menggunakan Mikrokontroller WEMOS

CAHAYAtech ◽  
2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Adetya Windiarto Makhmud ◽  
Tutus Praningki ◽  
Ira Luvi Indah
Keyword(s):  
Internet Of Things ◽  
Solar Energy ◽  
Light Intensity ◽  
Weather Conditions ◽  
Daily Activities ◽  
The Internet ◽  
The Right ◽  
The Internet Of Things

Drying clothes is one of the daily activities of people who use solar energy. With these conditions, people are very dependent on weather conditions that are sometimes erratic. One of the right ways is by utilizing technology, namely using an automatic clothesline using a Wemos D1Mini microcontroller, equipped with an LDR sensor that will read light intensity and the DHT11 sensor will read humidity and temperature around the environment. This tool is also based on the Internet of Things which can be accessed from anywhere as long as it is connected to the internet. Keyword: Microcontroller, LDR sensor, DHT11 sensor, Internet of Things.

The Role of Internet of Things, Knowledge Management, and Open Innovation in SME Sustainability

2020 ◽  
pp. 295-303
Author(s):  
Muhammad Imran ◽  
Jawad Iqbal ◽  
Hassan Mujtaba Nawaz Saleem
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Open Innovation ◽  
Knowledge Generation ◽  
The Internet ◽  
Process Framework ◽  
The Relationship ◽  
The Internet Of Things

The main objective of the chapter is to discuss the relationship between internet of things and knowledge management; knowledge management and open innovation; open innovation and SMEs sustainability. The relationship between the constructs developed and discuss on the behalf of past studies. The present chapter found that Internet of Things is playing an important role in knowledge generation and management, further, knowledge management is very important for open innovation environment in SMEs. Moreover, the open innovation sustains the SMEs performance. In respect of implications, the owner / managers of SMEs should consider the Internet of Things, knowledge management, and open innovation capabilities during the decision making for SME sustainability. Moreover, this is a process framework which brings the effect of one variable to other variables. However, the future studies should empirically validate the proposed research framework.

scholarly journals Compreendendo o Desempenho de Gerenciadores de Contexto para Internet das Coisas

2017 ◽  
Author(s):  
Ivan Zyrianoff ◽  
Fabrizio Borelli ◽  
Alexandre Heideker ◽  
Gabriela Biondi ◽  
Carlos Kamienski
Keyword(s):  
Decision Making ◽  
Performance Analysis ◽  
Internet Of Things ◽  
Synthetic Data ◽  
Management Systems ◽  
The Internet ◽  
Context Aware ◽  
Analysis Study ◽  
Results Reporting ◽  
The Internet Of Things

Context-Aware Management Systems have been proposed in the last years to perform automatic decision making for the Internet of Things. Although scalability is an indispensable feature for those systems, there are no comprehensive results reporting their performance. This paper shows results of a performance analysis study of different context-aware architectures and introduces the SenSE platform for generating sensor synthetic data. Results show that different architectural choices impact system scalability and that automatic real time decision-making is feasible in an environment composed of dozens of thousands of sensors that continuously transmit data.

The Internet of Things and Opportunities for Pervasive Safety Monitored Health Environments

2017 ◽  
pp. 202-240
Author(s):  
Vaughan Michell
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Medical Errors ◽  
Information Transfer ◽  
Improve Patient Safety ◽  
The Internet ◽  
Sensors And Actuators ◽  
Surgical Interventions ◽  
Knowledge Based ◽  
The Internet Of Things

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.

The Internet of Things and Opportunities for Pervasive Safety Monitored Health Environments

2014 ◽  
pp. 382-420 ◽  
Author(s):  
Vaughan Michell
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Medical Errors ◽  
Information Transfer ◽  
Improve Patient Safety ◽  
The Internet ◽  
Sensors And Actuators ◽  
Surgical Interventions ◽  
Knowledge Based ◽  
The Internet Of Things

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.

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