Hubungan Pengelolaan Sampah Rumah Tangga terhadap Status Kesehatan Penyakit Menular

Karim, Ulfah Nuraini; Lubis, Erika; Dewi, Aliana

doi:10.25077/njk.18.1.26-36.2022

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The variables to be utilized in the study are listed in detail in Table 1. (Demirbas, 2011) X6 The number of recreational and tourist places (Karim et al, 2022) X7 The number of traditional markets (Fatimah et al, 2020) X8 The number of restaurants (Demirbas, 2011) The data analysis procedure conducted in this study is as follows:…”

Section: B Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Identifying Factors Affecting Waste Generation in West Java in 2021 Using Spatial Regression

Djuraidah,

Rizki,

Alfan

2024

JTAM

View full text Add to dashboard Cite

Responsible consumption and production is the 12th of the seventeen SDGs which is difficult for developing countries to achieve due to high waste production. Indonesia is the second largest producer of food waste in the world. Garbage is solid waste generated from community activities. Population density is an indicator to estimate the amount of waste generated in an area. The choice of West Java Province as the research area is based on the fact that this Province has the second highest population density in Indonesia. This study aimed to determine the predictors/factors that influence waste production in the districts/cities of West Java Province. The data used in this study are total waste as a response variable and GRDP (gross domestic product), total spending per capita, average length of schooling, literacy rate, number of MSMEs (micro, small, and medium enterprises), and several recreational and tourism places, the number of people's markets, and the number of restaurants as predictors. The methods used in this research are spatial autoregressive regression/SAR, spatial Lag-X/SLX, and spatial Durbin/SDM. The results of this study show that the SAR is the best model with the lowest BIC (74.442) and pseudo-R-squared (0.7934). Factors that significantly affect total waste production are literacy levels, the number of MSMEs, the number of traditional markets, and the number of recreational and tourist places.

show abstract

Section: B Methodsmentioning

confidence: 99%

“…The substantial volume of waste can lead to public health issues. This is emphasized by the study of Karim et al (2022), which states that household waste management impacts the health status of residents in the Citarum River area.…”

Section: A Introductionmentioning

confidence: 99%