Empirical Formulas Between Outdoor Temperature And Humidity

Wijonarko, Sensus; Mahmudi,; Maftukhah, Tatik; Rustandi, Dadang; Purwowibowo,; Widiyatmoko, Bambang; Bayuwati, Dwi; Sirenden, Bernadus H.; Prakosa, Jalu A.; Hidayat, Asep Rahmat; Mandaris, Dwi; Firdaus, Himma; Hidayat, Siddiq Wahyu

doi:10.1109/iceeie52663.2021.9616692

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…The form of daily air temperature and air humidity are inversely related [8]. Another study also shows that the relation between air temperature and humidity is inversely proportional, both daily and monthly [6].…”

Section: Data Gatheringmentioning

confidence: 85%

See 1 more Smart Citation

Correlation between Two Sunshine Parameters and Three Hydrometeorological Parameters

Maftukhah,

Wijonarko,

Purwowibowo

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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In designing the correct capacity of solar panels that will be used for any project, the designer should know the solar radiation in that area. Next, the UV index data is needed to know if that area is safe from ultraviolet (UV) radiation. Unfortunately, solar radiation and UV index data from many hydrometeorological stations are usually rare. Hence, there is a necessity to solve this scarcity. The study, using the correlation method, intends to make the connection between two sunshine parameters (solar radiation and the ultraviolet (UV) index) and three hydrometeorological parameters (air temperature, humidity, or pressure). If these variable couplings are known, we can find the data of solar radiation (or UV index) based on air temperature, humidity, or pressure, which are usually much easier to obtain than solar radiation or UV index. The results showed that the correlation between solar radiation (or UV index) and air temperature, humidity, and pressure was strong positive-linear, strong negative-linear, and no strong correlation, respectively. Because it has a positive correlation, the temperature data have a strong potential to replace solar radiation or UV index data.

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Section: Data Gatheringmentioning

confidence: 85%

“…However, it was negative (Figures 8 and 9). It was obtained that the correlation between temperature and humidity is inversely proportional [8]. That is why the correlation between solar radiation and humidity was negatively related.…”

Section: Radiation Vs Air Humiditymentioning

confidence: 98%

Correlation between Two Sunshine Parameters and Three Hydrometeorological Parameters

Maftukhah,

Wijonarko,

Purwowibowo

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Hence, the proposed non-contact validator for temperature measurement in a sealed PCR machine by magnetic flux technique could be a solution for problems in (1) and (2) before through wireless technique. The relationship between temperature [25] and magnetic induction can inspire application in other research fields.…”

Section: Thermal Phasementioning

confidence: 99%

Wireless Temperature Measurement Validation Method for PCR Machines by Magnetic Hall-Effect Sensor

Agmal

Prakosa²

2022

J. Elektron. dan Telekomun.

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The temperature validation controlled by temperature indication has a vital role in the polymerase chain reaction (PCR) test machine or thermal cycler. However, the validation process is complicated for several types of thermal cycler. Some PCR test machines must close the lid tightly while running. It makes the probe’s cable of the temperature sensor might be pinched or break when the thermal cycler lid is closed. Opening the lid (open-air condition) makes the measurement will not accurate. To solve this problem, wireless temperature measurement and validation methods for PCR machines are developed based on magnetic field measurements. The magnetic field of the object will respond to any changes in temperature. The hall-effect sensor, which is validated by gauss meter, detects any magnetic response a certain material covers even the object. This detection yields output data processed to find the thermal cycler's appropriate temperature wireless validation method. The experiment used a Neodymium magnet as a wireless probe. The position of the Neodymium magnet pole significantly affected the relation between magnetic flux and temperature in experimental results. The reversed pole toward sensors had better linearity (R2= 0.8062) than the unreversed pole (R2= 0.7794). The annealing step commonly achieved the optimum measurement uncertainty. However, the measurement uncertainty and signal sensitivity investigation recommended employing the beneficial combination of pole magnet position to design the temperature validator based on magnetic induction for a closed lid thermal cycler (PCR machine). Overall, the experimental yields can be used to build a wireless temperature validator for a sealed PCR machine based on magnetic induction.

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Measurement uncertainty evaluation of salinity sensing through water electrical conductivity method with gravimetric validation

Rustandi,

Prakosa,

Purwowibowo

et al. 2023

Proceedings of the 1st Conference on Quantum Sciences and Technology (Conquest 2022)

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Empirical Formulas Between Outdoor Temperature And Humidity

Cited by 4 publications

References 33 publications

Correlation between Two Sunshine Parameters and Three Hydrometeorological Parameters

Correlation between Two Sunshine Parameters and Three Hydrometeorological Parameters

Wireless Temperature Measurement Validation Method for PCR Machines by Magnetic Hall-Effect Sensor

Measurement uncertainty evaluation of salinity sensing through water electrical conductivity method with gravimetric validation

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