Analisis Faktor-Faktor Yang Mempengaruhi Level Polusi Udara Dengan Metode Regresi Logistik Biner

Kartikasari, Diah

doi:10.26740/mathunesa.v8n1.p55-59

Cited by 7 publications

(7 citation statements)

References 5 publications

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“…Reference [14] stated that meteorological factors consisting of rainfall, intensity of solar radiation, wind speed, air humidity, and air temperature influence the level of air pollution. Another study by reference [34] stated that wind speed, air temperature, air pressure, and relative humidity influence the level of air pollution. The rainfall variable data provided by BMKG contains many unmeasurable values.…”

Section: Methodsmentioning

confidence: 99%

Forecasting the Air Quality Index by Utilizing Several Meteorological Factors Using the ARIMAX Method (Case Study: Central Jakarta City)

Muzakki,

Putri,

Maruli

et al. 2024

jtik

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Today's society really pays attention to air quality because the impact of exposure to pollutants in the air is starting to be felt. PM 2.5 pollutants are very dangerous because their small size can penetrate the alveoli of human lungs. The value calculation of the Air Quality Index (AQI) is important to prepare mitigation and defensive measures to reduce the negative impact of air quality and as a basis for future policymaking. Several method comparisons have been carried out by researchers to predict AQI. However, researchers have not studied much regarding the use of meteorological factors in the form of average air temperature (°C), average air humidity (percent), and average wind speed (m/s) in forecasting AQI values, even though meteorological factors have a significant link, according to previous researchers. This research forecasts AQI using the ARIMAX method, which includes meteorological factors as exogenous variables, using daily AQI PM 2.5 data in Central Jakarta. The best modeling of the data is ARIMA (1,1,1) without X and ARIMAX (1,1,1). Based on the calculation of AIC, BIC, RMSE, and MAPE values, ARIMAX (1,1,1) modeling produces better forecasting, so it can be concluded that forecasting involving meteorological factors can make forecasting more precise. Predicting AQI using ARIMAX with upcoming meteorological factors is beneficial, as precise prediction results can assist in policy-making to prevent the adverse impacts of air quality on public health. In future research, other meteorological factors could be studied and combined with other modeling besides ARIMA.

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Section: Methodsmentioning

confidence: 99%

Forecasting the Air Quality Index by Utilizing Several Meteorological Factors Using the ARIMAX Method (Case Study: Central Jakarta City)

Muzakki,

Putri,

Maruli

et al. 2024

jtik

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“…Dalam penelitian (Kartikasari, 2020) regresi logistic biner merupakan suatu model yang mendeskripsikan hubungan antara beberapa variabel bebas dengan variabel respon yang bersifat dikotomis (dua kategori) atau polikotomis (lebih dari dua kategori). Jika variabel respon terdiri dari dua kemungkinan yaitu sukses atau gagal maka dapat digunakan bentuk regresi logistik biner.…”

Section: Analisis Inferensiaunclassified

The Factors of Influence the Risk of Abnormal Working Hours for the Workforce in Batam City

Hakim

2024

daengku j. hum. soc. sci. innov.

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This study aims to analyze how factors such as education, age, employment status and gender affect the risk of abnormal working hours (outside the range of 38-42 hours) in Batam City. The data used is secondary data whose data source comes from the Central Bureau of Statistics (BPS) from the National Labor Force Survey (SAKERNAS) in 2022. The number of eligible samples was 3080 family heads. Data processing for analysis in this study used SPSS version 25. The analysis method used is descriptive and inferential analysis. The results revealed that 79.80% of household heads in Batam City work with abnormal working hours. The findings show that education level and age are variables that significantly influence the risk of abnormal working hours. Age variable with the largest odds ratio value is the most influential variable to the risk of abnormal working hours in Batam City. It can be concluded that family heads who have low education level and/or unproductive age can cause the risk of abnormal working hours.

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“…Dengan adanya perkembangan teknologi, regresi logistik juga dapat diaplikasikan pada kasus pencemaran udara yang semakin meningkat (Kartikasari, 2020). Pada penelitian ini, terdapat beberapa faktor meteorologi seperti kecepatan angin, temperatur, radiasi matahari, tekanan, arah angin, dan kelembaban relatif yang kemudian digunakan untuk dianalisis apakah faktor meteorologi tersebut mempengaruhi level polusi udara.…”

Section: Pendahuluanunclassified

Penerapan Model Regresi Logistik Terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Sumatera Barat Tahun 2019 – 2021

Hasanah

Yollanda

2022

JOSTECH

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The human development index is an indicator that can measure the success of a region in developing human quality. The success of human development can be measured by how fundamental problems in society can be overcome, such as poverty, unemployment, and lack of access to public facilities. The increase in HDI in an area can be determined by several factors, including life expectancy (UHH) and the unemployment rate. One of the models that can be used to determine the factors that significantly affect the human development index is logistic regression, where logistic regression is an approach to making a predictive model in the form of the probability of a variable.The data used in this study are HDI, UHH, and unemployment rates in West Sumatra Province in 2019–2021. Based on the multicollinearity test, there is no relationship between UHH and the unemployment rate. This study was conducted to determine the factors that significantly affect the human development index of districts/cities in West Sumatra Province. Based on the results obtained, UHH has dramatically affected the HDI of districts/cities in West Sumatra Province over the last three years.

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Analisis Faktor-Faktor Yang Mempengaruhi Level Polusi Udara Dengan Metode Regresi Logistik Biner

Cited by 7 publications

References 5 publications

Forecasting the Air Quality Index by Utilizing Several Meteorological Factors Using the ARIMAX Method (Case Study: Central Jakarta City)

Forecasting the Air Quality Index by Utilizing Several Meteorological Factors Using the ARIMAX Method (Case Study: Central Jakarta City)

The Factors of Influence the Risk of Abnormal Working Hours for the Workforce in Batam City

Penerapan Model Regresi Logistik Terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Sumatera Barat Tahun 2019 – 2021

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