Indrawat Wardhana, V. A. Isnaini, R. P. Wirman, Novitasari Novitasari, Ogie Indra Gunawan
{"title":"澜沧县班君力士仪表实时基础物联网","authors":"Indrawat Wardhana, V. A. Isnaini, R. P. Wirman, Novitasari Novitasari, Ogie Indra Gunawan","doi":"10.20527/flux.v19i1.9428","DOIUrl":null,"url":null,"abstract":"− Sunlight data intensity is critical for Indonesia, which is positioned on the equator's line. This project develops a real-time sunshine intensity observation system using the Internet of Things (IoT), allowing data to be easily accessed from any location. This utility was created using a microcontroller NodeMCU and an LDR module calibrated with a Luxmeter Lx-103. Data is transmitted via the Message Queuing Telemetry Transport protocol, which provides a protocol Quality of Service 1. The trial lasted 12 hours outside. Obtaining research data that linear regression LDR: y = (-128.14*VADC)+18,621.42 and R2= 0.9693 with maximum sunlight intensity counted at 21,451.9 Lux at 9 AM and an average range of light intensity between 13659.26 and 20964.86 Lux in the middle of the day. NodeMCU processed the LDR data and then displayed it on the LCD with a one-second delay. Data was provided to the mqtt server at a 60second frequency, and the most recent steps were recorded in the SQLite database.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Rancang Bangun Lux Meter Real Time Berbasis Internet of Things\",\"authors\":\"Indrawat Wardhana, V. A. Isnaini, R. P. Wirman, Novitasari Novitasari, Ogie Indra Gunawan\",\"doi\":\"10.20527/flux.v19i1.9428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"− Sunlight data intensity is critical for Indonesia, which is positioned on the equator's line. This project develops a real-time sunshine intensity observation system using the Internet of Things (IoT), allowing data to be easily accessed from any location. This utility was created using a microcontroller NodeMCU and an LDR module calibrated with a Luxmeter Lx-103. Data is transmitted via the Message Queuing Telemetry Transport protocol, which provides a protocol Quality of Service 1. The trial lasted 12 hours outside. Obtaining research data that linear regression LDR: y = (-128.14*VADC)+18,621.42 and R2= 0.9693 with maximum sunlight intensity counted at 21,451.9 Lux at 9 AM and an average range of light intensity between 13659.26 and 20964.86 Lux in the middle of the day. NodeMCU processed the LDR data and then displayed it on the LCD with a one-second delay. Data was provided to the mqtt server at a 60second frequency, and the most recent steps were recorded in the SQLite database.\",\"PeriodicalId\":52720,\"journal\":{\"name\":\"JIF Jurnal Ilmu Fisika\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JIF Jurnal Ilmu Fisika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20527/flux.v19i1.9428\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JIF Jurnal Ilmu Fisika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20527/flux.v19i1.9428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rancang Bangun Lux Meter Real Time Berbasis Internet of Things
− Sunlight data intensity is critical for Indonesia, which is positioned on the equator's line. This project develops a real-time sunshine intensity observation system using the Internet of Things (IoT), allowing data to be easily accessed from any location. This utility was created using a microcontroller NodeMCU and an LDR module calibrated with a Luxmeter Lx-103. Data is transmitted via the Message Queuing Telemetry Transport protocol, which provides a protocol Quality of Service 1. The trial lasted 12 hours outside. Obtaining research data that linear regression LDR: y = (-128.14*VADC)+18,621.42 and R2= 0.9693 with maximum sunlight intensity counted at 21,451.9 Lux at 9 AM and an average range of light intensity between 13659.26 and 20964.86 Lux in the middle of the day. NodeMCU processed the LDR data and then displayed it on the LCD with a one-second delay. Data was provided to the mqtt server at a 60second frequency, and the most recent steps were recorded in the SQLite database.