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Title: | Analisis Subsidi Perumahan untuk Masyarakat Berpenghasilan Rendah Menggunakan Metode Generalized LASSO di Pulau Jawa |
Authors: | Rahardiantoro, Septian Erfiani Zuna, Raihan Erasaputra |
Issue Date: | 2023 |
Publisher: | IPB University |
Abstract: | Pada tahun 2021 terdapat 12,7 juta masyarakat berpenghasilan rendah yang
tidak memiliki rumah di Indonesia. Sebanyak 49% masyarakat berpenghasilan
rendah berada di Pulau Jawa. Hal ini mengakibatkan pemerintah membuat
kebijakan berupa subsidi KPR perumahan untuk memudahkan masyarakat untuk
memiliki rumah. Eksplorasi data dan penentuan wilayah di Pulau Jawa terkait
kondisi permintaan kepemilikan rumah menjadi tujuan utama penelitian ini.
Metode yang digunakan antara lain metode statistika deskriptif untuk mengetahui
sebaran masyarakat yang menerima subsidi KPR, metode heatmap clustering
untuk mengetahui pengelompokkan pendapatan masyarakat penerima rumah
subsidi dan metode Generalized LASSO dengan kedekatan wilayah dan K-Nearest
Neighbor untuk menggerombolkan wilayah berdasarkan permintaan kepemilikan
rumah. Hasil dari penelitian ini diperoleh bahwa mayoritas masyarakat dengan
angka penerimaan subsidi KPR tertinggi terdapat pada Kabupaten Bekasi dan
Kabupaten Bogor. Selain itu, gerombol pendapatan masyarakat yang paling tinggi
menerima rumah subsidi berada pada kisaran pendapatan 3,9 sampai 5,9 juta
rupiah. Serta, terbentuk sebanyak tujuh gerombol wilayah di Pulau Jawa
berdasarkan hasil terbaik pada K-Nearest Neighbor dengan K = 2 pada kasus
penggerombolan permintaan kepemilikan rumah dengan metode Generalized
LASSO. In 2021, there were 12.7 million low-income people who did not own a home in Indonesia. As many as 49% of low-income people live in Java. This resulted in the government making a policy in the form of housing mortgage subsidies to make it easier for people to own houses. Data exploration and regional determination in Java related to the condition of demand for home ownership are the main objectives of this study. The methods used include descriptive statistical methods to determine the distribution of people who receive mortgage subsidies, heatmap clustering methods to determine the income grouping of people receiving subsidized houses and the Generalized LASSO method with regional proximity and K-Nearest Neighbor to group areas based on requests for home ownership. The results of this study found that the majority of people with the highest number of mortgage subsidy receipts were in Bekasi Regency and Bogor Regency. In addition, the highest income group of people receiving subsidized houses is in the income range of 3.9 to 5.9 million rupiah. Also, as many as seven regional clusters were formed in Java Island based on the best results on K-Nearest Neighbor with K = 2 in the case of clustering requests for home ownership by the method Generalized LASSO. |
URI: | http://repository.ipb.ac.id/handle/123456789/132551 |
Appears in Collections: | UT - Statistics and Data Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cover, Lembar Pengesahan, Prakata, Daftar Isi.pdf Restricted Access | Cover | 2.4 MB | Adobe PDF | View/Open |
G14190084_Raihan Erasaputra Zuna.pdf Restricted Access | Fullteks | 2.72 MB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 2.68 MB | Adobe PDF | View/Open |
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