Rancang Bangun Sistem Monitoring Dan Pemberi Pakan Otomatis Ayam Anakan Berbasis Internet Of Things (IoT)

Farm is one of the largest food suppliers after agriculture. Many of the breeders do everything to improve the quality of their livestock. The usual way used by chicken farmers are by manual means such as temperature checking, and checking the availability of feed. Therefore it is necessary to create an automatic temperature monitoring and chicken feeding tool, which in this research based on IoTs (Internet of Things). It uses DHT11 sensors to measure temperature in cages, Arduino Uno and NodeMCU ESP 8266 as microcontrollers and blynk applications as temperature monitoring tools. It consists of several interconnected parts. Starting from the DHT11 sensor measuring the temperature, then sent to the microcontroller after it is processed, then sent to the blynk webserver so that it can be accessed and displayed by the monitoring application. While chicken feeding can be made easier using servo motor as a door feeder chicken that works with scheduling system, then for the availability of feed will be measured by the specified weight. If the weight reaches a number less than or equal to 400 grams, then the loadcell sensor will send a notification to blynk with the message . The result of this researchs can monitor the temperature in the cage and provide feed automatically even though it still not maximal.

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Implementasi Node MCU Sebagai Serial Komunikasi dengan Arduino Uno pada Smart Shopping Trolley

Jurnal ELTIKOM ◽

10.31961/eltikom.v5i1.282 ◽

2021 ◽

Vol 5 (1) ◽

pp. 48-55

Author(s):

Livia Ayudia Yuliani ◽

Lela Nurpulaela ◽

Ulinnuha Latifa

Keyword(s):

Quality Of Service ◽

Internet Of Things ◽

Packet Loss ◽

Arduino Uno

Saat ini, masih banyak pembeli yang menggunakan konsep penjualan offline, sehingga seringkali kita lihat antrian yang panjang di swalayan. Antrian tersebut dikarenakan lamanya seorang kasir untuk melakukan scan harga pada tiap-tiap produk yang terdapat pada keranjang belanjaan. Akan tetapi, masyarakat selalu mengeluh ketika melakukan proses pembelian di supermarket. Masyarakat menya-yangkan proses antrian yang begitu panjang ketika akan melakukan transaksi pembayaran di kasir. Hal ini mengakibatkan lamanya waktu menunggu semakin besar sesuai dengan panjangnya antrian tersebut. Sehingga, untuk dapat mengatasi permasalahan tersebut adalah dengan memanfaatkan internet of things yang bertujuan untuk mempermudah client dalam proses pembelian suatu produk. Perangkat atau kom-ponen internet of things sebagai modul internet adalah NodeMCU V2 AMICA. Metode pengukuran yang digunakan adalah Quality of Service dengan menggunakan bantuan aplikasi Wireshark. Nilai throughput, packet loss, latency, dan jitter yang didapatkan adalah 2229 bit/s, 0% packet, 25,284 detik, 0,05 ms dengan kategori indeks throughput nol (bad) dan indeks empat untuk packet loss, latency, dan jitter.

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Sistem Monitoring dan Penjernihan Air Berdasarkan Derajat Keasaman (PH) dan Kekeruhan Pada Bak Penampungan Air Berbasis Internet of Things

CHIPSET ◽

10.25077/chipset.1.01.17-22.2020 ◽

2020 ◽

Vol 1 (01) ◽

pp. 17-22 ◽

Cited By ~ 1

Author(s):

Mario Orlando ◽

Desta Yolanda ◽

Werman Kasoep

Keyword(s):

Water Quality ◽

Internet Of Things ◽

Ph Sensor ◽

National Program ◽

Servo Motor ◽

Water Turbidity ◽

Hardware System ◽

Water Ph ◽

Arduino Uno

There are still a lot area that have not goten water from PDAM, therefore, people try to make artesian well made by themselves. Although, not all of them can afford to make their own artesian well. Therefore, governtment make a national program called Penyediaan Air Minum dan Sanitasi Berbasis Masyarakat (PAMSIMAS). Therefore, we need a technology which can detect and purify water turbidity for the water that people use everyday. People can see wether the water is decent to be consumed and if not therefore the system can pour alum automatically. The designed system in the form of conected hardware and software to monitor water quality based on turbidity and water pH through smartphone. Hardware system include microcontroller Arduino Uno, LDR sensor, pH sensor, servo motor, Sim808 modul and LED. The used softwares in this research are android aplication and firebase database. The system can save turbidity and pH data therefore, people can monitor through their smartphone and get information about level of the water. The goal of this system is to make people’s life become more easier to know the water’s condition and purify the water which will be used without going to the water tub

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SISTEM MONITORING PENGERING SEPATU BERBASIS INTERNET OF THINGS PADA PLATFORM NODE-RED

Jurnal Teknologi dan Komunikasi STMIK Subang ◽

10.47561/a.v14i1.204 ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Yuli Murdianingsih ◽

Lina Aprianti

Keyword(s):

Internet Of Things ◽

Monitoring System ◽

Rainy Season ◽

Network Architecture ◽

Servo Motor ◽

Temperature And Humidity ◽

C Program ◽

Arduino Uno ◽

Male To Female ◽

The Internet Of Things

Shoes are one of the human equipment that must always be worn in conditions, including during the rainy season, and conventional shoe drying still faces several challenges, including relying on the help of sunlight to facilitate drying. Shoes are one of the human equipment that must always be worn in conditions, including during the rainy season. The goal of this research is to create a shoe dryer monitoring system using the Node-ed Platform and the Internet of Things. Light, temperature, and humidity are all monitored in shoes. Arduino Uno, NodeMC ESP8266, Breadboard, Jumper Cables (male-to-male, male-to-female, female-to-female), Arduino USB Cable, 2 Channel Relay, Incandescent Lamp, CPU Fan, Servo Motor, DHT11 Sensor, and LDR Sensor are the components needed to make this system. While the software, specifically Ardu, was used, While the software employed, specifically the Arduino IDE, allows the author to program the NodeMCU ESP8266, Arduino Uno, and other hardware components that will be used in this study. To write programs, you'll need a C program editor and compiler. The major component in the implementation of this research is the Node-red platform. The NodeMCU ESP8266 is used as a tool in this shoe dryer monitoring system, which leverages a wireless network architecture. The shoe dryer monitoring system can perform as intended as a result of this research; this tool can monitor light, temperature, and humidity in shoes in real-time, as well as deliver actions in the form of notifications via social media in the form of Telegram.

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A Survey on Internet of Things : Applications and Layered Wise Security Issues

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit195624 ◽

2019 ◽

pp. 171-180

Author(s):

Uppuluri Sirisha ◽

G. Lakshme Eswari

Keyword(s):

Quality Of Life ◽

Internet Of Things ◽

Security And Privacy ◽

Global Network ◽

Business Growth ◽

Paper Briefly ◽

Smart Meters ◽

Security Issues ◽

Data Points

This paper briefly introduces Internet of Things(IOT) as a intellectual connectivity among the physical objects or devices which are gaining massive increase in the fields like efficiency, quality of life and business growth. IOT is a global network which is interconnecting around 46 million smart meters in U.S. alone with 1.1 billion data points per day[1]. The total installation base of IOT connecting devices would increase to 75.44 billion globally by 2025 with a increase in growth in business, productivity, government efficiency, lifestyle, etc., This paper familiarizes the serious concern such as effective security and privacy to ensure exact and accurate confidentiality, integrity, authentication access control among the devices.

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Quality of life support in advanced cancer—web and technological interventions: systematic review and narrative synthesis

BMJ Supportive & Palliative Care ◽

10.1136/bmjspcare-2020-002820 ◽

2021 ◽

pp. bmjspcare-2020-002820

Author(s):

Kathleen Kane ◽

Fiona Kennedy ◽

Kate L Absolom ◽

Clare Harley ◽

Galina Velikova

Keyword(s):

Quality Of Life ◽

Advanced Cancer ◽

Life Support ◽

Well Being ◽

Narrative Synthesis ◽

Monitoring Tools ◽

Technological Interventions ◽

Cancer Trajectory ◽

Interactive Health Communication

BackgroundAs treatments continue to progress, patients with advanced cancer are living longer. However, ongoing physical side-effects and psychosocial concerns can compromise quality of life (QoL). Patients and physicians increasingly look to the internet and other technologies to address diverse supportive needs encountered across this evolving cancer trajectory.Objectives1. To examine the features and delivery of web and technological interventions supporting patients with advanced cancer. 2. To explore their efficacy relating to QoL and psychosocial well-being.MethodsRelevant studies were identified through electronic database searches (MEDLINE, PsychINFO, Embase, CINAHL, CENTRAL, Web of Science and ProQuest) and handsearching. Findings were collated and explored through narrative synthesis.ResultsOf 5274 identified records, 37 articles were included. Interventions were evaluated within studies targeting advanced cancer (13) or encompassing all stages (24). Five subtypes emerged: Interactive Health Communication Applications (n=12), virtual programmes of support (n=11), symptom monitoring tools (n=8), communication conduits (n=3) and information websites (n=3). Modes of delivery ranged from self-management to clinically integrated. Support largely targeted psychosocial well-being, alongside symptom management and healthy living. Most studies (78%) evidenced varying degrees of efficacy through QoL and psychosocial measures. Intervention complexity made it challenging to distinguish the most effective components. Incomplete reporting limited risk of bias assessment.ConclusionWhile complex and varied in their content, features and delivery, most interventions led to improvements in QoL or psychosocial well-being across the cancer trajectory. Ongoing development and evaluation of such innovations should specifically target patients requiring longer-term support for later-stage cancer.PROSPERO registration numberCRD42018089153.

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A Fog Computing Framework for Quality of Service Optimisation in the Internet of Things (IoT) Ecosystem

2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC) ◽

10.1109/imitec50163.2020.9334083 ◽

2020 ◽

Author(s):

William Tichaona Vambe ◽

Khulumani Sibanda

Keyword(s):

Quality Of Service ◽

Internet Of Things ◽

Fog Computing ◽

The Internet ◽

Computing Framework ◽

The Internet Of Things

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Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽

10.3390/smartcities4020046 ◽

2021 ◽

Vol 4 (2) ◽

pp. 894-918

Author(s):

Luís Rosa ◽

Fábio Silva ◽

Cesar Analide

Keyword(s):

Internet Of Things ◽

Mobile Networks ◽

Smart Cities ◽

Human Mobility ◽

Rapid Development ◽

Disruptive Technology ◽

New Paradigm ◽

Design And Optimization ◽

High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

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Robust Networking: Dynamic Topology Evolution Learning for Internet of Things

ACM Transactions on Sensor Networks ◽

10.1145/3446937 ◽

2021 ◽

Vol 17 (3) ◽

pp. 1-23

Author(s):

Ning Chen ◽

Tie Qiu ◽

Mahmoud Daneshmand ◽

Dapeng Oliver Wu

Keyword(s):

Internet Of Things ◽

Smart Cities ◽

Evolutionary Process ◽

Small Error ◽

Cyber Attacks ◽

Communication Capacity ◽

Error Ratio ◽

The Internet Of Things ◽

Evolution Learning

The Internet of Things (IoT) has been extensively deployed in smart cities. However, with the expanding scale of networking, the failure of some nodes in the network severely affects the communication capacity of IoT applications. Therefore, researchers pay attention to improving communication capacity caused by network failures for applications that require high quality of services (QoS). Furthermore, the robustness of network topology is an important metric to measure the network communication capacity and the ability to resist the cyber-attacks induced by some failed nodes. While some algorithms have been proposed to enhance the robustness of IoT topologies, they are characterized by large computation overhead, and lacking a lightweight topology optimization model. To address this problem, we first propose a novel robustness optimization using evolution learning (ROEL) with a neural network. ROEL dynamically optimizes the IoT topology and intelligently prospects the robust degree in the process of evolutionary optimization. The experimental results demonstrate that ROEL can represent the evolutionary process of IoT topologies, and the prediction accuracy of network robustness is satisfactory with a small error ratio. Our algorithm has a better tolerance capacity in terms of resistance to random attacks and malicious attacks compared with other algorithms.

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