Judul: Analisis Subsidi Perumahan untuk Masyarakat Berpenghasilan Rendah Menggunakan Metode Generalized LASSO di Pulau Jawa
Abstrak: 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.
Keyword: Generalized LASSO, Low-income community, Subsidized housing

Judul: Analysis of Home Ownership Preferences among Low-Income Communities
Abstrak: Home ownership for low-income communities is not easy and requires government support through various housing development programs. The government needs to pay attention to the home ownership preferences of low- income communities in order to meet housing needs. This study aims to identify the home ownership preferences of low-income communities, taking the study area in the Province of Daerah Khusus Jakarta. These preferences are identified using conjoint analysis by examining five factors house price, location, type of house, building size, and transportation costs. The results of the study show that, in general, respondents prefer a price range of IDR 185,000,000 to IDR 250,000,000, a central city location, low-rise housing types, a building size of 45m2, and transportation costs above IDR 100,000. The type of housing is the most important factor in assessing or purchasing a house (23.313%), followed by price (21.812%), location (20.653%), building size (20.233%), and transportation costs (13.990%). The correlation value using Pearson's r method is 0.975 and using Kendall's Tau method is 0.816, indicating that respondent’s preferences can be accepted to describe their home ownership preferences with a significant value., Kepemilikan rumah bagi masyarakat berpenghasilan rendah merupakan hal yang tidak mudah, butuh dukungan dari pemerintah melalui berbagai program penyediaan perumahan. Penelitian ini bertujuan untuk mengidentifikasi preferensi kepemilikan rumah bagi masyarakat berpenghasilan rendah yang mengambil daerah studi di Provinsi Daerah Khusus Jakarta. Preferensi ini diidentifikasi dengan menggunakan analisis konjoin dengan melihat lima faktor yaitu harga, lokasi, jenis rumah, luas bangunan dan biaya transportasi. Hasil penelitian menunjukkan bahwa secara umum responden memilih rentang harga Rp185-250 juta dengan lokasi di tengah kota, jenis rumah gedung rendah, luas bangunan 45m2 dan biaya transportasi di atas Rp100.000,-. Faktor jenis rumah merupakan faktor terpenting dalam menilai atau membeli sebuah rumah (23.313%) kemudian diikuti oleh faktor harga (21,812%) kemudian faktor lokasi (20,653%), luas bangunan (20,233%), dan biaya transport (13,990%). Nilai korelasi dengan metode Person’s r sebesar 0,975 dan dengan metode Kendall’s Tau sebesar 0,816 menyatakan bahwa preferensi responden bisa diterima untuk menggambarkan preferensi kepemilikan rumah dengan nilai signifikan.
Keyword: Analisis konjoin, Kepemilikan rumah, Masyarakat berpenghasilan rendah, Preferensi, Conjoint Analysis, Housing Ownership, Low-Income Communities,, Preference

Judul: Color Characteristic of Butterfly Pea (Clitoria ternatea L.) Anthocyanin Extracts and Brilliant Blue
Abstrak: Butterfly pea (Clitoria ternatea L.) is one of potential anthocyanin sources which can be use as a food colorant. Anthocyanin extracts of butterfly pea was evaluated under different concentration, pH, tinctorial strength, and storage conditions and compared to synthetic colorant, brilliant blue. The structure of the largest molecule of anthocyanin in butterfly pea extracts, ternatin A1, made the extracts had a wide range of color spectrum from red in pH 1-2, purple to blue in pH 3-7, and yellow green in pH 8-14. The color of brilliant blue solution showed high stability from pH 1-12. The good stability of brilliant blue was also showed by the score of color density and degradation index.Chromaticity parameters of the samples were evaluated with the score of lightness, chroma, and hue. The hue score of anthocyanin extracts of butterfly pea at pH 4,5 and 7 showed blue to purple while brilliant blue showed blue color at same pH. When both of them were added to yogurt drink (pH 4,5) and rice (pH 7), the food added with anthocyanin extracts became blue-purple and brilliant blue gave bright blue color to the food.
Keyword: chromaticity parameters., tinctorial strength, pH, brilliant blue, anthocyanin extract