Permodelan Faktor-Faktor Yang Mempengaruhi Pendapatan Pemilik Kost di Kelurahan Keputih Terhadap Pandemi Covid-19 Menggunakan Regresi Logistik Biner

Ramadina, Atika Sanjani (2021) Permodelan Faktor-Faktor Yang Mempengaruhi Pendapatan Pemilik Kost di Kelurahan Keputih Terhadap Pandemi Covid-19 Menggunakan Regresi Logistik Biner. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kasus pertama Covid-19 di Indonesia terjadi pada bulan Maret tahun 2020. Berbagai upaya pencegahan penyebaran virus Covid-19 pun dilakukan, di Indonesia, pemerintah mengeluarkan peraturan Pembatasan Sosial Berskala Besar atau PSBB. Adanya kebijakan tersebut menyebabkan diberlakukannya Learning From Home untuk para mahasiswa dan murid sekolah, akibatnya mahasiswa kembali ke kampung halaman masing-masing dan meninggalkan kos atau kontrakannya di tempat perantauan. Hal ini tentu saja sangat mempengaruhi perekonomian pemilik kost terlebih jika target pasarnya adalah khusus untuk mahasiswa. Oleh karena itu, diadakan penelitian ini untuk mengetahui faktor-faktor yang menyebabkan perubahan pendapatan pemilik kost selama Pandemi Covid-19 menggunakan regresi logistik biner. Hasil dari penelitianini adalah sebanyak 75% atau 40 rumah kost di RW 03 Kelurahan Keputih mengalami penurunan pendapatan ≥50% dan hanya 25% lainnya atau 13 rumah kost saja yang mengalami penurunan <50%. Faktor pemotongan harga kamar kost dan usaha lain selain rumah kost merupakan faktor yang signifikan terhadap pendapatan pemilik kost. Ketepatan klasifikasi pemodelan dalam regresi logistik biner terhadap pendapatan pemilik kost selama pandemi sebesar 88,7%.
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The first case of Covid-19 in Indonesia occurred in March 2020. Various efforts were made to prevent the spread of the Covid-19 virus. In Indonesia, the government issued a regulation on Large-Scale Social Restrictions or PSBB. The existence of this policy led to the implementation of Learning From Home for students and school students, resulting in students returning to their respective hometowns and leaving their boarding houses or rented places overseas. This of course greatly affects the economy of the boarding house owner, especially if the target market is specifically for students. Therefore, this study was conducted to determine the factors that cause changes in boarding house owners' income during the Covid-19 pandemic using binary logistic regression. The results of this study were 75% or 40 boarding houses in RW 03 Keputih Village experienced a decrease in income => 50% and only 25% or 13 boarding houses experienced a decrease of <50%. The factor of cutting the price of boarding rooms and other businesses other than boarding houses is a significant factor in the income of the boarding house owner. The accuracy of the modeling classification in binary logistic regression on the boarding house owner's income during the pandemic is 88.7%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Covid – 19, Kelurahan Keputih, Pendapatan Rumah Kost, Regresi Logistik Biner, Binary Logistic Regression, Boarding House Income, Covid-19,Kelurahan Keputih.
Subjects:	H Social Sciences > HA Statistics > HA31.3 Regression. Correlation
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Atika Sanjani Ramadina
Date Deposited:	29 Aug 2021 18:51
Last Modified:	29 Aug 2021 18:51
URI:	http://repository.its.ac.id/id/eprint/90505

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