V. A. Wardhany, Alfin Hidayat, Subono, Mirta Jhoswanda
{"title":"Temperature and Humidity Control of Smart Cage Bee Honey Based on Internet of Things","authors":"V. A. Wardhany, Alfin Hidayat, Subono, Mirta Jhoswanda","doi":"10.1109/IC2IE50715.2020.9274620","DOIUrl":null,"url":null,"abstract":"Bees are honey-producing insects that have long been known to humans. Until now, it is very common in some areas that farmers keep honey bees to use their honey for personal consumption as well as for mass production for sale. In the care and maintenance of bees, of course, is not an arbitrary thing. There are several factors that need to be considered so that the bee can produce honey properly and optimally. These factors are the state of Temperature and Humidity of the beehive itself. Extreme temperatures and humidity affect the pattern of making honey and the yield of honey itself. Therefore, the authors designed a prototype of a tool for monitoring humidity and weight of the frame and automatic temperature control using Fuzzy logic. The Fuzzy logic is an appropriate way to map an input space into the output space so that in the system to maintain the temperature of the bee stable so that it can be optimally carried out in greater detail. The result of this system test is the fuzzy logic can read the temperature state is more or less than the optimal vulnerable and the reverse is again at the optimal temperature that is between 32°C-33°C. Known in the test, the system can steer from the temperature of 31°C to 32.1°C in vulnerable time 1 min 15 seconds as well as at a temperature 34.4°C to the temperature of 32.9°C successfully in the vulnerable time 1 minute 5 seconds.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC2IE50715.2020.9274620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Bees are honey-producing insects that have long been known to humans. Until now, it is very common in some areas that farmers keep honey bees to use their honey for personal consumption as well as for mass production for sale. In the care and maintenance of bees, of course, is not an arbitrary thing. There are several factors that need to be considered so that the bee can produce honey properly and optimally. These factors are the state of Temperature and Humidity of the beehive itself. Extreme temperatures and humidity affect the pattern of making honey and the yield of honey itself. Therefore, the authors designed a prototype of a tool for monitoring humidity and weight of the frame and automatic temperature control using Fuzzy logic. The Fuzzy logic is an appropriate way to map an input space into the output space so that in the system to maintain the temperature of the bee stable so that it can be optimally carried out in greater detail. The result of this system test is the fuzzy logic can read the temperature state is more or less than the optimal vulnerable and the reverse is again at the optimal temperature that is between 32°C-33°C. Known in the test, the system can steer from the temperature of 31°C to 32.1°C in vulnerable time 1 min 15 seconds as well as at a temperature 34.4°C to the temperature of 32.9°C successfully in the vulnerable time 1 minute 5 seconds.