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ANALISA DESKRIPTIF PENGELOMPOKAN DATA KONSENTRASI PM2,5 BERDASARKAN HARI PADA TITIK PEMANTAUAN BUNDARAN HI JAKARTA UNTUK DATA FEBRUARI-OKTOBER 2021 Nelvidawati Nelvidawati
JICE (Journal of Infrastructural in Civil Engineering) Volume 03, Issue 01, January 2022
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.252 KB) | DOI: 10.33365/jice.v3i01.1864

Abstract

The very high flow of vehicles passing through Bundaran HI has resulted in a decrease in air quality in this area. PM2,5 is one of the pollutant substances produced from vehicle fumes that can be harmful to health. The number of vehicles that pass through this area depends on the presence of office and business activities. The purpose of this study was to determine the pattern of distribution of PM2.5 concentration data by day and how much data did not exceed the quality standard. The research was conducted by descriptive method. The results showed that the pattern of distribution of PM2.5 data which was below the quality standard occurred in February to mid-April 2021 and early June to early July. This is due to the PSBB and PPKM that apply in the city of Jakarta. When the regulation was revoked, the concentration of PM2.5 was more dominant above the quality standard. If the data is grouped by day, the percentage of PM2.5 concentration data that does not pass the quality standard is Monday 43.59%, Tuesday 35.89%, Wednesday 38.46%, Thursday 41.02%, Friday 41.03%, Saturday 56 .41%, Sunday 41.02%..
PERBANDINGAN NILAI ISPU HARIAN DI 5 TITIK PEMANTAUAN UDARA DKI JAKARTA PADA SAAT LOCKDOWN MARET 2020 Nelvidawati Nelvidawati; Angelalia Roza
Construction and Material Journal Vol. 4 No. 1 (2022): Construction and Material Journal Vol. 4 No. 1 Maret 2022
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/cmj.v4i1.4520

Abstract

One of the air quality conditions in the Special Capital City Region (DKI) Jakarta is the transportation sector. The air quality index is dominated by moderate conditions, even at dangerous levels. The COVID-19 pandemic caused the DKI Jakarta Provincial Government to lock down in March 2020. Research in several countries has shown that air quality has improved because people's mobility has been stopped. This study aims to determine the effect of the lockdown imposed in DKI Jakarta on its air quality and see a comparison at each point. The method used is descriptive method. The data analyzed in this study were collected from 5 points of the Air Quality Monitoring System (AQMS) monitoring tool. Based on the research, it was concluded that the lockdown imposed in DKI Jakarta only affected the location of point 1 at the Hotel Indonesia (HI) roundabout. The Air Pollution Status Index (ISPU) is dominated by good air quality conditions. Other areas such as West Jakarta, East Jakarta, North Jakarta and South Jakarta, the lockdown imposed in March 2020 did not have any effect on increasing the ISPU value. In 2021 the air quality condition in DKI Jakarta is worse than in previous years at all monitoring points since the activities have returned to normal and traffic jams frequently occur. Keywords: Air Quality Index, DKI Jakarta, Lockdown, Transportation.  
PENGOLAHAN OLI BEKAS MENJADI BAHAN BAKAR CAIR (BBC) Nurmeizon Saleh; Nelvidawati Nelvidawati
Ensiklopedia of Journal Vol 5, No 3 (2023): Volume 5 No. 3 Edisi 1 April 2023
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.738 KB) | DOI: 10.33559/eoj.v5i3.1647

Abstract

Alat transpotasi dan industri di Indonesia terus meningkat jumlahnya dari tahun ke tahun, dengan meningkatnya jumlah tersebut maka volume limbah oli pelumas mesin juga bertambah.Berdasarkan Kementrian Lingkungan Hidup, oli bekas tergolong pada kategori limbah B3. Meskipun masih bisa dimanfaatkan, bila oli bekas tidak dikelola dengan baik, maka dapat membahayakan lingkungan. Pada penelitian ini dilakukan pengolahan dimana oli dimasukkan dalam reaktor kemudian dipanasi hingga oli dalam reaktor menguap habis dan ditampung hasil keluarannya, kemudian diukur sifat fisik dari bahan bakar cair yang dihasilkan dimana hasil analisa dengan rata-rata nilai densitas adalah 831,2kg/m2, viskositas adalah 5,8525mm2/s, kadar air adalah23,6972 %, nilai kalor 10.312,754 cal/g, dan nilai titik nyala 35,5 0C.Kata kunci;oli bekas, Pirolisis, sifat fisik bahan bakar.
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%.
Simple Regression Model Analysis of the Effect of Temperature on Rainfall in Padang City Using Scikit-Learn Nelvidawati Nelvidawati
International Journal of Wireless And Multimedia Communications Vol. 1 No. 2 (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.v1i2.41

Abstract

Temperature is one of the factors that influences the intensity of rainfall in an area. The higher the temperature in an area, the higher the evaporation so the greater the chance of rain, especially if this occurs at sea. The location of Padang City close to the sea  influences the intensity of rainfall that occurs. Research was conducted to model the effect of temperature on rainfall that occurs in Padang City using simple linear regression using the Python programming language. The methodology used to model the relationship between these two variables is the Cross-Industry Standard Process for Data Mining. The simple regression model equation obtained is y = -26.73 x + 1119.98. The evaluation carried out on the model resulted in a relationship that was not close and had a negative correlation. The error rate of the simple linear regression model used in this study is quite large with a mean model error value of 40%, an MAE value of 124.2311, MSE 23489.97 and RMSE 153.2644. A good model has MAE, MSE and RMSE close to zero. Further research is needed to find out a suitable model to describe the relationship between temperature and rainfall that occurs in Padang City.
Non Linear Modeling of the Relationship Between Raw Water Turbidity, Accelerator Unit Turbidity, and Filtration Turbidity Using a Quadratic Interaction Model in a Water Treatment Plant Nelvidawati; firdaus Firdaus; M Andre Kurnia Festa
International Journal of Wireless And Multimedia Communications Vol. 3 No. 1 (2026): 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.v3i1.237

Abstract

This study aims to analyze the non-linear relationship between raw water turbidity, turbidity after the accelerator unit, and turbidity after the filtration unit at the Gunung Pangilun Water Treatment Plant (WTP) in Padang City using the Quadratic Interaction Model (QIM) approach. Turbidity data were collected from 1–5 June 2025 at one-hour intervals, resulting in 50 data points for each sampling location. The data processing stages included missing value inspection, outlier detection using the Interquartile Range (IQR) method, data consistency checking, relationship visualization among variables, and QIM-based modeling using Python. The results show that the QIM was unable to adequately represent the relationships among the variables, as indicated by an R-squared value of 0.145 and an adjusted R-squared of 0.048. All model parameters exhibited p-values greater than 0.05, indicating no statistically significant influence on turbidity after filtration. Model evaluation yielded an RMSE of 0.496 NTU and a MAPE of 19.34%, suggesting a moderate level of prediction accuracy. Additionally, the analysis identified 14% outliers and 9 inconsistent data points for each sampling location.