Internet of Things and Artificial Intelligence Journal
Internet of Things and Artificial Intelligence Journal (IOTA) is a journal that is officially under the auspices of the Association for Scientific Computing, Electronics, and Engineering (ASCEE), Internet of Things and Artificial Intelligence Journal is a journal that focuses on the Internet of Things (IoT), ISSN 2774-4353, publishing the latest papers in the IoT field and Artificial Intelligence (AI) i.e., Machine Learning (ML), and Deep Learning (DL)., etc., Topics can be included in this journal : IoT for various applications ( medical, sport, agriculture, smart city, smart home, smart environment, etc.) IoT communication and networking protocols ( LoRa, WiFi, Bluetooth Low Energy, etc.) IoT enabling technologies IoT system architecture IoT with a Recently Sensors Technology IoT with Wireless Sensor Network (WSNs) Technology Cloud-based IoT IoT data analytics IoT Security IoT Management Services IoT with Low Power and Energy Harvesting Future technologies for IoT Future Internet design for IoT Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) Drone or UAV, and IoT Analyzes IoT with a Financial Technology (FINTECH) Managemen approach IoT for Education Technology IoT for Industry Computers & Security :: computer security, audit, control and data integrity in all sectors - industry, commerce and academia Computer application for Economy, Finance, Business, Micro, Small & Medium Enterprises (MSMEs), Accounting, Management, and other sectors Review articles on international & national legal rules in the use of computer software, internet of things, frequency usage, etc. Internet of Things and Artificial Intelligence Journal has a frequency of being published 4 times a year or 4 issues every year (February, May, August, and November) with the Peer review process.
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<![CDATA[A PROTOTYPE MONITORING ELECTRICITY SYSTEM 220V OF WIND POWER PLANT (PLTB) BASED ON THE INTERNET OF THINGS: INTERNET OF THINGS ]]>
<![CDATA[yuli hermanto]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v1i3.469
<![CDATA[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%.]]>
<![CDATA[Teledentistry Through Web Apps And IODT - Reforming Dental Care In The Covid-19 Era: UPGRADING TELEDENTISTRY TO THE CHALLENGE ]]>
<![CDATA[KUNAL JHA]]>;
<![CDATA[Yagnaseni Mandal]]>;
<![CDATA[Avinash J]]>;
<![CDATA[GUNJAN KUMAR]]>;
<![CDATA[vinay S]]>;
<![CDATA[Arpita Singh]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v1i3.485
<![CDATA[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.]]>
<![CDATA[Unilever’s Customer Data Management Information System in Medan City and Approaches to Android Smartphone and IoT Flexibility ]]>
<![CDATA[Windania Purba]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v1i3.497
<![CDATA[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.]]>
<![CDATA[Waterfall pattern using Omron CP1E PLC, Fuzzy Logic Method, and PLC-IoT approach ]]>
<![CDATA[Supramono Supramono]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v1i3.498
<![CDATA[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.]]>
<![CDATA[Automatic Wastewater Control System for Soil Fertility use Fuzzy Logic and IoT-Based ]]>
<![CDATA[Marianus Tiga]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v1i3.500
<![CDATA[The process of controlling the flow of waste in irrigation canals is one form of effort to support the sustainability of plant growth on garden beds. Farmers use many strategies or efforts to maintain fertility and plant growth to obtain more increased and productive yields. Based on research, clean water from rivers in irrigation canals that pass through residential areas to produce wastewater before it reaches plants. Moreover, a process, less healthy for plant growth than clean water irrigation channels with normal pH (Potential Hydrogen) required by plants. Setting pH and soil moisture according to plant needs, i.e., 6.5-7 for water pH and 50%-70% for soil moisture. This value is the best step in plant growth care; an irrigation canal is made that can measure water pH using sensor pH and soil moisture by using a soil moisture sensor and can normalize water pH and soil moisture according to plant needs. The pH down pump automatically pours acidic pH when the pH reading is alkaline and vice versa; the up pump automatically pours acid when the pH reading is acidic. To measure the water level in the reservoir, use an ultrasonic sensor to not seep out of the reservoir because it is full. This tool is equipped with a pump to channel water from the wastewater reservoir to the water pH measurement reservoir and proceed to the plants, where fuzzy logic works to regulate the speed of the plant watering pump with input obtained from soil moisture sensor readings and temperature sensors. Finally, control using the Esp32 MCU Node by being monitored using the Blynk application displayed on the android.]]>
