Waterfall pattern using Omron CP1E PLC, Fuzzy Logic Method, and PLC-IoT approach
subject: PLC
subject: PLC-IoT
subject: Ladder Diagram
subject: waterfall
subject: Solenoid Valve
description: Programmable Logic Controller (PLC) used in data processing is OMRON Corp's CP1E type. In this research, a prototype was produced using a solenoid valve amounting to 24 which will be used as output for sequential water based on timer and presser given on parameters. Five experiments are basic patterns: chessboard triangle, zebra cross, off shift, and on shift. The experiment used fuzzy logic parameters to obtain accuracy in the waterfall; the timer is on the ladder diagram to provide the value of the combination of falling water that varies on each pattern. The accuracy value in the range 0-1 on one experiment is off-shifted. At the value of 0.206 bar presser, the water accuracy level is 0.811. At the 0.41 bar presser level, the accuracy level is 0.532; the conclusion produced by the presser is very influential on the water accuracy level at the waterfall. This research applies a PLC approach to the Internet of Things (IoT) for flexibility control and monitoring needs.
creator: Supramono, Supramono
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August]; 159-175
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-09-17
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

Unilever’s Customer Data Management Information System in Medan City and Approaches to Android Smartphone and IoT Flexibility
subject: Web
subject: Customer Registration
subject: Unilever
subject: Smartphone
subject: IoT
description: A web application is a type of application that uses browser technology to run an application accessed via a mobile network. In this case, the web application can also assist in collecting customer data, especially those carried out by Unilever companies, where the system is quite efficient and accurate in collecting customer data. This system also makes it easier for companies engaged in data collection. In this case, the employees can easily record every customer and see the number of products used and selling well in the market. This is where the Unilever company will know how many products will continue to be produced and marketed. Furthermore. This paper discusses the development plan for this W.E.B. application towards Smartphone mode and development towards the Internet of Things for flexibility when accessing and getting data in real-time.
creator: Purba, Windania
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August]; 146-158
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-09-16
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
rights: https://ascee.org/
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

SAW and Electre Methods Implementation for Scholarship Awardee Decision
subject: Decision Support System
subject: Criteria
subject: Weight
subject: Alternative
description: This research was conducted to design a Decision Support System as a tool for decision-makers in distributing Bidik Misi Scholarships at the Indonesian Business Polytechnic. The selection of students who volunteered to become recipients of the Bidik Misi Scholarship required the Decision Support System (DSS) approach which implemented the Simple Additive Weighting (SAW) method by weighting the criteria and sub-criteria of each alternative for all attributes. The criteria used in the SAW method in this study consisted of 2 (two) criteria and each of these criteria had sub-criteria. The first criterion is Parents with sub-criteria consisting of the education level, incomes, parents’ coverage. The second criterion is students with sub-criteria consisting of age, academic potential, ownership of the Indonesia Smart Card (KIP). The output obtained from the 5 data analyzed in this study, the final value of the highest alternative preference is 0.9 and the lowest alternative preference value is 0.55. The output obtained by using the Electre method is that the Student_Mari004 alternative eliminates other alternatives.
creator: Siregar, Victor
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]; 209-220
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-11-15
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
rights: https://ascee.org/
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

A Soil moisture sensor based on Internet of Things LoRa
subject: moisture
subject: soil
subject: monitoring
subject: IoT
subject: plants
subject: LoRa
description: This study discusses the Performance of Moisture soil sensor, which is useful as a sensor to detect soil moisture level used as plant nutrition. The monitoring process is carried out in real-time using internet of things technology based on LoRa or Long-Range Radio Frequency (IoT-LoRa). The application server used is Thingspeak. With this research, agricultural processes and monitoring can be carried out dynamically and efficiently. Therefore, when the soil conditions are dry or the soil moisture level is <300, it will immediately affect automatic watering by opening the valve or rotating the Servo motor. Furthermore, the watering process can be done automatically by looking at the soil conditions on potted plants or agricultural land. The position of the sensor on the ground level is not immediately removed and moved to another place, but it is always in the same condition and location, so the Adaptive Data Rate mechanism is used for the management of Power Consumption on IoT-LoRa
creator: adi, Puput Dani Prasetyo
creator: siregar, Victor M.M.
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 120-132
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-05-12
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

Implementation of Fuzzy Logic on Internet of Things-Based Greenhouse
subject: Greenhouse
subject: Long Range 915 Mhz
subject: Internet of Things
subject: soil moisture
subject: Fuzzy Sugeno
description: This research is an internet of things-based monitoring system using LoRaWAN and the IoT Thingspeak application server. This research is focused on helping farmers, or the agriculture sector focused on Pakcoy. Pakcoy is a plant that can live at an altitude of 500-1200 meters above sea level using the Greenhouse concept; Pakcoy plants can be protected from pests. Nutrients for Pakcoy are sprayed through the leaves, accelerating the provision of nutrients for plants. The Fuzzy Sugeno method is used to control the Greenhouse temperature and Soil Moisture for effective plant development, as well as monitoring the Greenhouse temperature, soil moisture, and pH of the growing media based on the Internet of Things that uses the Long Range 915 Mhz, therefore, the users can find out in real-time the data can be accessed by using Thingspeak and can be used in areas where internet access is difficult.
creator: Yosep, Stanislaus
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 100-113
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-05-27
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

Teledentistry Through Web Apps And IODT - Reforming Dental Care In The Covid-19 Era: UPGRADING TELEDENTISTRY TO THE CHALLENGE
subject: Dental care
subject: Remote monitoring
subject: COVID-19
subject: Internet of Things
subject: Biosensing techniques
subject: Teledentistry
description: Health care affordability, accessibility, availability, and quality have long been a major concern for humanity. It is the use of telecommunications and information technology for consultations, education, and public awareness, with the goal of improving patient care and time management. Teledentistry is a form of telemedicine that is used in the field of dentistry. It is beneficial in improving services to underserved people, such as those in rural or less developed areas. The recent spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its associated coronavirus disease (COVID-19) has caused widespread public health concerns However, due to restrictions in movement, it was difficult for the patients to visit the clinics for routine check-ups. This was overcome by the advancements in technology like the introduction of the INTERNET OF DENTAL THINGS(IODT) which has a major impact on and has tremendously transformed teledentistry. Dental health app platforms using AI have made teledentistry more accessible and user-friendly. The advent of sensor and camera technologies has opened up new possibilities and breakthroughs. Furthermore, teledentistry can be a beneficial tool for peer education, consultations, and ensuring proper referral channelizing.
creator: JHA, KUNAL
creator: Mandal, Yagnaseni
creator: J, Avinash
creator: KUMAR, GUNJAN
creator: S, vinay
creator: Singh, Arpita
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August]; 198-208
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-09-15
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
rights: https://ascee.org/
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

A PROTOTYPE MONITORING ELECTRICITY SYSTEM 220V OF WIND POWER PLANT (PLTB) BASED ON THE INTERNET OF THINGS: INTERNET OF THINGS
subject: PLTB
subject: IoT
subject: Thingspeak
subject: Blynk
subject: NodeMCU
subject: PZEM 004T
description: Abstract - Electrical energy is a human daily need that cannot be separated, even the need for electrical energy has increased every year. This is evident from the construction of renewable energy plants in areas with potential. In this thesis, a control and monitoring system for a vertical turbine wind power plant prototype will be made using the internet based on IoT (Internet of Things) technology. Where the IoT technology here, the author uses the Thingspeak and Blynk applications which are used to monitor the electrical energy output from the wind power plant (PLTB) and the output from the 220V inverter. The purpose of using IOT technology is to make it easier to monitor and control the voltage, current and output power of wind power plants from anywhere and anytime via the internet. For the manufacture of this tool in need of a voltage sensor, current sensor, relay, LCD and NodeMCU. The voltage sensor uses PZEM 004T which functions to read the value of voltage, current, cos phi and frequency, relay1 serves to limit the output voltage from the dynamo generator and relay2 to limit the output voltage to 220V in case of equipment problems, NodeMCU functions to process data read from the sensor, this NodeMCU already equipped with a WIFI module that functions to send data to an internet server so that it can be controlled and monitored anywhere and anytime. The results of the tests carried out measurements for 2 hours on the load of the iron, fan, television, 1 phase AC motor, soldering iron, dispenser, laptop charger, incandescent lamp, and refrigerator using the 004T PZEM sensor resulted in an error of 0.28% - 0.3%.
creator: Hermanto, Yuli
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August]; 133-145
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-09-15
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
rights: https://ascee.org/
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

Automatic Foldron T-Shirt With Proportional Integral Derivative method and M5Stack for IoT-Server
subject: folding clothes
subject: steam iron
subject: ultrasonic sensor
subject: microcontroller
subject: PID
subject: M5Stack
description: The process of folding clothes is one of the activities carried out in the household, and the laundry business is one of the micro-enterprises that are mushrooming at this time. Business actors use many strategies to increase productivity and customer satisfaction. Based on research, the process of ironing and folding clothes is a process that takes a long time compared to the washing and drying process, so a method or tool is needed to make folding clothes more practical. An automatic Foldron T-Shirt is the perfect solution to make folding and ironing clothes more manageable and time-efficient. This tool is equipped with a servo motor that moves the folding board and a steam iron designed so that the user only needs to control the clothes once and simply press one button; the clothes will fold, and the iron themselves will be neatly arranged. The PID method uses an ultrasonic sensor to measure the speed distance of the wiper motor, which is used to run the steam iron so that it can stop appropriately at the end of the table. The output of this ultrasonic sensor is used as the input (set point) of the PID controller applied to the tip so that the movement of the motor can adjust its speed. Moreover, the M5Stack, equipped with 12 Channel Servo, is used to drive the servo motor on the Application Server, making it more dynamic and flexible.
creator: Jonggo’man, Yunus Baweng
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 81-99
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-05-15
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

Electricity Monitoring System based on Fuzzy Logic and Internet of things
subject: Android
subject: ESP8266
subject: Raspberry Pi
subject: Smarthome
subject: Internet Of Things
description: a smart home concept that has a remote control system based on the Internet of things, to provide convenience and security for owners to control household electronic equipment such as lights, tv, and fans, not only controlling the house but homeowners can monitor power, voltage, current and electricity bills in real-time as well as the status of the electrical load used in a lit state or not. And users can also limit the use of power to prevent overloads that impact rising bills or electricity usage costs—monitoring lighting automatically on the house's terrace using the fuzzy logic method and monitoring bathroom lights by detecting the presence and absence of movement. The switch system on electrical devices can be replaced using the ESP8266 microcontroller to be connected to android with the Openhabian application installed. This control system can also be done anywhere without area restrictions as long as the user can connect to the Internet.
creator: Dawe, Alfonsius Yohandrik Bi
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 63-80
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-05-12
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion

A Student Grouping Based on Final Exam Values of the Courses with the K-Means Classification Method Using KNIME
subject: Kmeans, Classification, Machine Learning, Unsupervised Learning, Students Classification, Online Learning.
description: In learning, each student must have a different way of learning and learning patterns which will have an impact on the results of their learning evaluation at the end of each semester. Assessing a student who excels in learning is one of them by looking at the score of the final exam results that maybe the student can easily get good grades because they do have expertise in that field or get good grades because they are diligent in studying. The scores of students' final semester exams in several courses will be summarized here in order to be used as a basis for classifying students into several groups, namely smart, average, and less good students.
creator: Gustina, Sapriani
source: Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 114-119
source: 2774-4353
publisher: Association for Scientific Computing, Electronics, and Engineering (ASCEE)
date: 2021-05-15
rights: Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
rights: https://ascee.org/
format: application/pdf
language: eng
type: info:eu-repo/semantics/article
type: info:eu-repo/semantics/publishedVersion