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Nelvidawati
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science

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Analisis Data Variabel Iklim Mikro Dengan Menggunakan Statistik Deskriptif (Studi Kasus Pemukiman Kelurahan Kampung Lapai Kecamatan Naggalo Padang) Nelvidawati; Surtia Bachtiar, Vera
Dampak Vol. 22 No. 2 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/dampak.22.2.83-95.2025

Abstract

Urban areas are vulnerable to the urban heat island (UHI) phenomenon. The analysis of microclimate parameters is one of the important steps to understanding environmental dynamics on a local scale. This study aims to analyze microclimate parameters such as temperature, humidity, wind speed, heat intensity of sunlight, and rain intensity measured for 5 (five) consecutive days. The analysis carried out was a descriptive statistical analysis. The analysis of the concentration of variable temperature and high sunlight intensity data resulted in urban heat islands in residential areas because the roofs used were zinc. Zinc could absorb heat, increasing the temperature during the day if it is not raining. The sun's intensity began to peak from 09.00 WIB to 12.00 WIB. The occurrence of rain can reduce the temperature and intensity of sunlight and increase humidity so that there are no urban heat islands in residential areas that can affect thermal comfort. Other microclimate variables, such as wind speed and rainfall, do not have an impact because wind speed is relatively slow and rainfall is moderate. The analysis of the data spread seen from the standard deviation shows that the data tends to be homogeneous. Large data ranges occurred at the variables of temperature, humidity, and sunlight intensity, showing significant variations. Wind speed and precipitation have a small range, indicating the weather's stability at the observation site at the time of measurement. The average population estimated to have a confidence level of 95% is almost the same as the average sample, indicating that the data obtained is close to the actual condition.
Water Quality Monitoring System and Automatic Filter System Based on the Internet of Things Nelvidawati; Firdaus
International Journal of Wireless And Multimedia Communications Vol. 1 No. 1 (2024): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v1i1.13

Abstract

PDAM's peak usage of clean water means that water supply to customers often stops due to insufficient distribution of discharge and pressure. To overcome the problem of insufficient water flow, the community provides a water storage tank consisting of a ground water tank and an over head water tank. PDAM water received by the public through distribution pipes has the potential to be contaminated due to the entry of pollutants from repair activities and pipe leaks. These pollutants will accumulate in the tank, causing the water quality to decline and no longer comply with the established quality standards. To prevent accumulation of pollutants in the tank, before using it, the water should be filtered first. An automatic filtration system with monitoring of turbidity and water levels is a technology that can make people's work easier and the quality of the water used is in accordance with drinking water quality standards. Data obtained from turbidity and water level sensors can also be monitored via the IoT platform. The test results of the turbidity and water level sensors have a low error so that the designed tool can be used to monitor turbidity, water level and automatic filter systems. Sending data so that it can be displayed on IoT platforms such as Blynk has also been successfully created. From 10 attempts, the Water Level Sensor gave an average error of 0.78%.
Co-Authors Firdaus Surtia Bachtiar, Vera