scholarly journals Study of occupants’ perceptions and preferences of smart home system technology at The Eastern Green-LRT City Bekasi Apartment

2021 ◽  
Vol 878 (1) ◽  
pp. 012039
Author(s):  
U Ulinata
Keyword(s):  
Air Conditioning ◽  
Smart Home ◽  
Quantitative Method ◽  
Electronic Devices ◽  
System Technology ◽  
New Normal ◽  
System Concept

Abstract The development of technology over the time is increasing rapidly in various fields including in the field of property that applies smart home system. During the Covid 19 Pandemic, residential with smart home system concept deserves to be an option because it can provide convenience for residents in activities and work by arranging electronic devices such as air conditioning, televisions, lights, access in and out of residence. One of them is The Eastern Green LRT City Bekasi Apartment which is a residence with the concept of smart home system. Apart from the purpose of knowing perception and preference of residents to smart home system in Eastern Green-LRT City Bekasi Apartment, there are certainly still weaknesses that are also a consideration for improvement so that smart home system is able to facilitate residents to improve the comfort of residents. This research uses quantitative method by collecting data through survey. The results showed there are several things that need to be useful evaluation materials to improve smart home system. It is expected that this article can provide feedback to realize a more comfortable residence based on smart home system in welcoming the era of society 5.0 and the new normal era.

Prototype Smart Home Berbasis Internet of Things untuk Meningkatkan Efisiensi Penggunan Listrik

2021 ◽  
Vol 7 (1) ◽  
pp. 01-08
Author(s):  
Safira Salsabila ◽  
Dian Kasoni
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Technological Progress ◽  
Electronic Devices ◽  
Shift Register ◽  
The Internet ◽  
Cost Of Electricity ◽  
Input And Output ◽  
The Cost ◽  
Logic Unit

Abstract— Microcontroller is a hardware in which there is a processor, input and output, RAM, ROM, System Bus, Contol Unit, Shift Register and Aritmatic Logic Unit. Microcontroller is able to activate some electronic devices such as led, buzzer, motor, lighting and so on. Currently, at the home of the writer has many light switches in each room and often causes the user to become disoriented when turning on the light and the condition of the gate in the yard was that close to the roads often led to congestion when it would either open or close the house gates. The activation method of lights and other electronic devices still use manual method, so it is inefficient and causing excessive cost of electricity. For that built a system to activate every device in every room at the house based internet of things which will be activated by a website display on the internet so that the lights in each room and other device will activate.. With the creation of this system is expected to reduce the cost of electricity on writer’s house and as a first step to realize the smart home in the utilization of technological progress, especially in the field of microcontroller.   Intisari— Mikrokontroller merupakan sebuah perangkat keras yang didalamnya terdapat sebuah processor, input dan output, RAM, ROM, System Bus, Contol Unit, Shift Register dan Aritmatic Logic Unit. Mikrokontroller ini mampu mengaktifkan beberapa perangkat elektronika seperti led, buzzer, motor, lampu penerangan dan sebagainya. Saat ini, di rumah pribadi penulis memiliki banyak saklar lampu di setiap ruangan dan sering mengakibatkan setiap pengguna kebingungan saatmenghidupkan lampu dan gerbang di halaman rumah memiliki jarak yang dekat dengan jalanan seringkali menimbulkankemacetan saat akan membuka ataupun menutup gerbang rumah. Metode pengaktifan perangkat lampu dan alatelektronik yang lain masih menggunakan cara manual, sehingga tidak efisien dan menimbulkan pengeluaran biaya listrik yangberlebih. Untuk itu dibangun sebuah sistem untuk mengaktifkan setiap perangkat yang ada di ruangan rumah penulis berbasisInternet of Things yang akan diaktifkan oleh sebuah tampilan website melalui internet sehingga secara otomatis lampu disetiap ruangan dan perangkat lainnya akan aktif. Dengan dibuatnya sistem ini diharapkan dapat mengurangi pengeluaran biaya listrik di rumah pribadi penulis dan sebagai langkah awal mewujudkan smart home dalam pemanfaatan kemajuan teknologi, terutama dibidang mikrokontroller.

scholarly journals The Smart Triad : Big Data Analytics , Cloud Computing and Internet of Things to shape the Smart Home, Smart City, Smart Business & Smart Country

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3594-3600 ◽  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Smart Home ◽  
Service Providers ◽  
Irrigation System ◽  
Electronic Devices ◽  
Big Data Analytics ◽  
User Privacy

Big data analytics, cloud computing & internet of things are a smart triad which have started shaping our future towards smart home, city, business, country. Internet of things is a convergence of intelligent networks, electronic devices, and cloud computing. The source of big data at different connected electronic devices is stored on cloud server for analytics. Cloud provides the readymade infrastructure, remote processing power to consumers of internet of things. Cloud computing also gives device manufacturers and service providers access to ―advanced analytics and monitoring‖, ―communication between services and devices‖, ―user privacy and security‖. This paper, presents an overview of internet of things, role of cloud computing & big data analytics towards IoT. In this paper IoT enabled automatic irrigation system is proposed that saves data over ―ThingSpeak‖ database an IoT analytics platform through ESP8266 wifi module. This paper also summarizes the application areas and discusses the challenges of IoT.

scholarly journals Methodology for Ensuring a Comfortable Microclimate State in a Smart Home Using an Ensemble of Fuzzy Artificial Neural Networks

2021 ◽  
Vol 20 (6) ◽  
pp. 1418-1447
Author(s):  
Andrey Mozohin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Control System ◽  
Physical Environment ◽  
Air Conditioning ◽  
Smart Home ◽  
Practical Implementation ◽  
Climate Control ◽  
Artificial Neural ◽  
Hybrid Neural Networks

Analysis of the application of smart home technology indicates an insufficient level of controllability of its infrastructure, which leads to excessive consumption of energy and information resources. The problem of managing the digital infrastructure of human living space, is associated with a large number of highly specialized solutions for home automation, which complicate the management process. Smart home is considered as a set of independent cyber-physical devices aimed at achieving its goal. For coordinated work of cyber-physical devices it is proposed to provide their joint work through a single information center. Simulation of device operation modes in a digital environment preserves the resource of physical devices by making a virtual calculation for all possible variants of interaction of devices between themselves and the physical environment. A methodology for controlling the microclimate of a smart home using an ensemble of fuzzy artificial neural networks is developed, with the example of joint use of air conditioning, ventilation and heating. The neural network algorithm allows you to monitor the parameters of the physical environment, predict the modes of cyber-physical devices and generate control signals for each of them, ensuring the joint operation of devices with minimal resource consumption and information traffic. A variant of practical implementation of a smart home climate control system on the example of a multifunctional educational computer class is proposed. Hybrid neural networks of air conditioning, ventilation and heating systems were developed. The testing of the microclimate control system of a multifunctional university classroom using hybrid neural networks was carried out, a programmable logic controller of domestic production was used as a control device. The goal of management based on cooperating cyber-physical devices is to achieve a minimum of power and information traffic when they work together.

scholarly journals Factors Affecting User’s Intention to Adopt Smart Home in Malaysia

2019 ◽  
Vol 13 (12) ◽  
pp. 39
Author(s):  
Ng Tee Wei ◽  
Ahmad Suhaimi Baharudin ◽  
Lubna A. Hussein ◽  
Mohd Faiz Hilmi
Keyword(s):  
Higher Education ◽  
Statistical Analysis ◽  
Clustering Analysis ◽  
Smart Home ◽  
Quantitative Method ◽  
Positive Impact ◽  
Factors Affecting ◽  
Interface Consistency ◽  
Intention To Adopt ◽  
Perceived Security

<p class="Abstract">Nowadays, the advancement of technology makes the life easier and convenience. Smart home is one of the technology provide a better life environment for the residents. The purpose of this study is to make a systematic and empirical study on the factors and model that influencing the intention to adopt smart home in Malaysia. Clear interface, consistency, attractiveness, information accuracy, information completeness, perceived security and perceived privacy used as the variables to investigate the intention to adopt the smart home. The quantitative method was used in this research. The sample size of this research is 102 respondents. The questionnaire was used for data collection. From the statistical analysis, the result verify that clear interface, consistency, attractiveness, information accuracy, perceived security and perceived privacy have positive impact on the Malaysian householder’s intention to adopt smart home. Besides that, the result from clustering analysis shows that, the younger generation or higher education respondents have higher intention to adopt smart home system. By referring this, the practitioner can refer and focus on those variables to develop the smart home that suitable for Malaysian.</p>

scholarly journals Indirect Recognition of Predefined Human Activities

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4829
Author(s):  
Ojan Majidzadeh Gorjani ◽  
Antonino Proto ◽  
Jan Vanus ◽  
Petr Bilik
Keyword(s):  
Neural Networks ◽  
Logistic Regression ◽  
Artificial Neural Networks ◽  
Data Collection ◽  
Human Activities ◽  
Air Conditioning ◽  
Smart Home ◽  
Home Automation ◽  
Specific Activities ◽  
Conditioning Control

The work investigates the application of artificial neural networks and logistic regression for the recognition of activities performed by room occupants. KNX (Konnex) standard-based devices were selected for smart home automation and data collection. The obtained data from these devices (Humidity, CO2, temperature) were used in combination with two wearable gadgets to classify specific activities performed by the room occupant. The obtained classifications can benefit the occupant by monitoring the wellbeing of elderly residents and providing optimal air quality and temperature by utilizing heating, ventilation, and air conditioning control. The obtained results yield accurate classification.

scholarly journals Exploring the Predictability of Temperatures in a Scaled Model of a Smarthome

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6052
Author(s):  
Thomas Burns ◽  
Gregory Fichthorn ◽  
Jason Ling ◽  
Sharare Zehtabian ◽  
Salih S. Bacanlı ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Conditioning ◽  
Smart Home ◽  
Additional Data ◽  
Machine Learning Algorithms ◽  
Scaled Model ◽  
Emergent Technologies ◽  
Additional Information ◽  
The Given ◽  
Machine Learning Models

In modern smarthomes, temperature regulation is achieved through a mix of traditional and emergent technologies including air conditioning, heating, intelligent utilization of the effects of sun, wind, and shade as well as using stored heat and cold. To achieve the desired comfort for the inhabitants while minimizing environmental impact and cost, the home controller must predict how its actions will impact the temperature and other environmental factors in various parts of the home. The question we are investigating in this paper is whether the temperature values in different rooms in a home are predictable based on readings from sensors in the home. We are also interested in whether increased accuracy can be achieved by adding sensors to capture the state of doors and windows of the given room and/or the whole home, and what type of machine learning algorithms can take advantage of the additional information. As experimentation on real-world homes is highly expensive, we use ScaledHome, a 1:12 scale, IoT-enabled model of a smart home for data acquisition. Our experiments show that while additional data can improve the accuracy of the prediction, the type of machine learning models needs to be carefully adapted to the number of data features available.

Build Smart Home Controls Using Wemos Microcontroller-Based Telegram App

CCIT Journal ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 1-12
Author(s):  
Freddy Artadima Silaban ◽  
Rendy Elmianto ◽  
Lukman Madriavin Silalahi
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Response Time ◽  
Open Source ◽  
Smart Home ◽  
Electronic Devices ◽  
Technological Developments ◽  
Arduino Uno ◽  
And Control

Current technological developments are very fast and progressing. One of the developments that occurs in the IoT (Internet Of Things) system. Many IOT (Internet Of Things) systems already have open source and can be suitable as needed, therefore by utilizing technological advancements, lamp controllers and house doors are made using Telegram applications. This control system can carry out home communications and control home electronic devices such as lights and house doors remotely using the Wemos and Arduino UNO microcontrollers. The Telegram application is used to send commands connected to the io.adafruit.com server. This system can provide notifications sent to the Telegram application when the house door is opened. The conclusion of the results obtained when the tool needed to communicate with the server is 12.94 seconds. For the voltage of 4 lights ± 220 V AC and for servo voltage ± 4.8 V DC. For the response time of the tool to the server ± 3 seconds, while the response time of the tool to Nextion LCD is ± 1 second

KEPUASAN HIDUP REMAJA DI ERA NEW NORMAL

2021 ◽  
Vol 6 (2) ◽  
pp. 62-71
Author(s):  
Lisa Ardaniyati ◽  
Ali Mufti Ramadhani
Keyword(s):  
Life Satisfaction ◽  
Family Life ◽  
Quantitative Method ◽  
Family Members ◽  
School Life ◽  
New Normal ◽  
Safe Place ◽  
Surrounding Environment ◽  
Level Of Satisfaction ◽  
The Family

This study aims to determine the level of life satisfaction of adolescents in the new normal era. The sample in this study were teenagers aged 15-18 years, amounting to 80 teenagers. The method used is descriptive quantitative method. The results of this study found that adolescents have the highest level of satisfaction in family life of 79.75% (calculation of 49.5% and 30.25%) in the new normal era. After life satisfaction in the family, adolescents also feel satisfied in the surrounding environment which is 72%, then adolescent self-related satisfaction is 57.25%. The lowest satisfaction of adolescents is in school life of 26.25% (calculation of 21.0% and 5.25%), followed by friendship life which is 50.75% so it can be concluded that the highest life satisfaction of adolescents in the new normal era is in family life. This is because in the new normal era, teenagers spend a lot of time at home so that it is an opportunity to gather and share with family members and a safe place during the Covid-19 period. Keywords: Life satisfaction, teenager, new normal era. Penelitian ini bertujuan untuk mengetahui tingkat kepuasan hidup remaja di era new normal. Sampel dalam penelitian ini ialah remaja yang berusia 15-18 tahun yang berjumlah 80 remaja. Metode yang digunakan ialah metode deskriptif kuantitatif. Hasil penelitian ini menemukan bahwa remaja memiliki tingkat kepuasan paling tinggi dalam kehidupan keluarga sebesar 79.75% (kalkulasi dari 49.5% dan 30.25%) di era normal baru. Setelah kepuasan hidup dalam keluarga, remaja juga merasa puas dalam lingkungan sekitar yakni sebesar 72%, selanjutnya kepuasan terkait diri remaja sebesar 57.25%. Kepuasan terendah remaja ada pada kehidupan sekolah sebesar 26.25% (kalkulasi dari 21.0% dan 5.25%), dilanjutkan dengan kehidupan pertemanan yaitu sebesar 50.75% sehingga dapat disimpulkan bahwa kepuasan hidup remaja di era new normal yang paling tinggi berada dalam kehidupan keluarga. Hal ini karena pada masa era new normal remaja menghabiskan banyak waktu dirumah sehingga kesempatan untuk berkumpul dan berbagai dengan anggota keluarga serta tempat yang aman selama masa Covid-19 Kata Kunci: Kepuasan hidup, remaja, era new norma.

scholarly journals Smart home design for electronic devices monitoring based wireless gateway network using cisco packet tracer

2018 ◽  
Vol 1007 ◽  
pp. 012021
Author(s):  
Oloan Sihombing ◽  
Niskarto Zendrato ◽  
Yonata Laia ◽  
Marlince Nababan ◽  
Delima Sitanggang ◽  
...  
Keyword(s):  
Smart Home ◽  
Electronic Devices ◽  
Packet Tracer
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