NURWAHID, RIZKY and Andriani, Yuli and Hanum, Herlina (2023) MODEL REGRESI LOGISTIK ORDINAL PADA PENGELOLAAN SAMPAH RUMAH TANGGA DI LINGKUNGAN III KELURAHAN AIR BATU. Undergraduate thesis, Sriwijaya University.
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Abstract
Waste management can be carried out in a systematic, comprehensive and sustainable manner. Most of the people still rely on landfills (TPA) as a place for waste collection. However, there are also people who manage waste by making fertilizer (composting), sorting and recycling, and there are even people who burn it directly. The aim of this study was to determine the models and factors that influence household waste management in Lingkungan III Kelurahan Air Batu using ordinal logistic regression methods. The types of research data are primary and secondary data. The variables used in the study were the respondent's age, gender, respondent's occupation, last education, home page, distance from the house to the ditch, dominant type of waste, volume of waste collected, respondent's knowledge and attitude of the respondent. The real level used is 10%. The waste management model in Lingkungan III Kelurahan Air Batu uses a two-variable model, which has an R^2 value of 0.096 and an estimation accuracy of 55.7%. The ordinal logistic regression model is as follows; ( Y≤〖1|x〗_i) =exp(-0,976+(0,648X_5=0)+(0,909X_6=1)+(0,310X_6=2))/(1+exp(-0,976+(0,648X_5=0)+(0,909X_6=1)+(0,310X_6=2)) ) , P( Y≤〖2|x〗_i) =exp(1,402+(0,648X_5=0)+(0,909X_6=1)+(0,310X_6=2))/(1+exp(1,402+(0,648X_5=0)+(0,909X_6=1)+(0,310X_6=2)) ). Factors that influence household waste management in Lingkungan III Kelurahan Air Batu are the ownership of the yard and the distance between the house and the ditch.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Pengelolaan Sampah, Regresi Logistik Ordinal, Taraf Nyata |
Subjects: | H Social Sciences > HA Statistics > HA29-32 Theory and method of social science statistics |
Divisions: | 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1) |
Depositing User: | Rizky Nurwahid |
Date Deposited: | 09 Aug 2023 01:39 |
Last Modified: | 09 Aug 2023 01:39 |
URI: | http://repository.unsri.ac.id/id/eprint/126377 |
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