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ANALYSIS OF DOMESTIC DRINKING WATER USE BEKASI CITY, WEST JAVA, INDONESIA Rahman, Akhmad Taufiqur; Ardiatma, Dodit; Ilyas, Nurilman
Journal of Environmental Engineering and Sustainable Technology Vol 11, No 01 (2024)
Publisher : Directorate of Research and Community Service (DRPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jeest.2024.011.01.6

Abstract

The purpose of this study is to determine the latest average value of domestic drinking water usage in Bekasi City and analyze the factors that influence changes in the average use of domestic drinking water in Bekasi City. This type of research is quantitative research with linear regression analysis. Data collection was carried out by distributing questionnaires and interviews. The population of Bekasi City is 3,075,690 people, with a sample size of 320 respondents. The results showed that the Income variable had an effect on the Domestic Drinking Water Use variable in Bekasi City, with a significance value of 0.00 <0.05 and a calculated t value of 6.144 <12.71. The Higher Education Level variable affects the Domestic Drinking Water Use variable in Bekasi City, with a significance value of 0.021> 0.05 and a calculated t-value of 2.357 < 12.71. The Decent Housing variable affects the Domestic Drinking Water Use variable in Bekasi City, with a significance value of 0.022 <0.05 and a calculated t-value of 3.180 <12.71. The averages value of domestic drinking water usage in the latest Bekasi City is 243.093 liters/person/day in 2024.
Carbon Footprint Analysis Of Food Waste From Restaurants In Bogor City Fernandez, Yohana Bharagita; Ardiatma, Dodit; Ilyas, Nurilman
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i02.4607

Abstract

Restaurants are Indonesia's biggest producers of trash since they provide meals every day, which contributes to a rise in food waste. The purpose of this study was to examine the quantity and kind of food waste produced by large-scale restaurants in Bogor City, as well as the carbon footprint that this garbage leaves behind. Additional evaluation of the impact of food waste output and composition on CO2 emissions was done in this study. This study separates edible food waste from non-edible food waste using a sample technique based on Waste Composition Analysis (WCA). The emission factor is calculated in order to determine the carbon footprint. According to the study's findings, which included 120 samples from three restaurants in Bogor City, the average daily production of food waste from the simple payakumbuh, pagi sore, and bumi aki restaurants in Bogor City was 4,239.70 g/plate, and the average daily generation of edible food waste was 12,026.70 g/org. It is made up of 14.3% foods high in protein, 40.1% fruits and vegetables, and 45.6% foods high in carbohydrates. Produce (40.1%): fruits and vegetables; foods high in protein (14.3%). Pagi Sore generates the least amount of edible food waste (988 g/org/day), whereas Payakumbuh restaurant produces the most (26,834 g/org/day).
Analysis of Greenhouse Gas Emissions from Household Activities Nur Ramadhani, Ayudini; Ardiatma, Dodit; Ilyas, Nurilman
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 02 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss02/510

Abstract

Cibitung sub-district is an industrial and densely populated area, which can trigger large amounts of greenhouse gas emissions.  This study aims to determine the rate of generation and composition of household waste, estimate greenhouse gas (GHG) emissions with an IPCC approach and measurement using SPSS statistics. The independent variables used in this study are house type, household income, and electricity power with the type of GHG emissions coming from operational vehicle use, LPG use, and electricity use in household activities. Information on the management of household activities was obtained through the distribution of questionnaires with the target respondents being the community around Cibitung Sub-district. Based on the research results, the total value of GHG emissions generated by Cibitung Sub-district is 34.9565811 KgCO2eq/ month. Kelurahan Wanasari produces the highest GHG emission of 18.6809624 KgCO2eq /month while Kelurahan Sarimukti produces the lowest GHG emission of 676.9651 KgCO2eq/month. Based on the results of statistical tests, the factors that influence the high GHG emissions from household activities are the type of house, the amount of income of the family head, and electricity power.