The housing market in Indonesia has different characteristics for each region. These differences underlie changes in house prices, factors that affect house prices include Loan to Value (LTV), mortgage rate, income, and population. The data was obtained from relevant agencies of Bank Indonesia and the Statistics Indonesia, using data from 2012-2021, which is a combination of time-series data and a cross-section of 18 cities in Indonesia. The research method used is a regression panel. The results of the study of income levels, population, and Loan to Ratio (LTV) are significant to house prices, except for mortgage rates which not be effective in depressing housing price during the observation period.

Kegiatan pengabdian masyarakat yang dilakukan di Desa Ulak Kembahang II pada tanggal 20-22 Juli 2022 bertujuan untuk pemberdayaan manusia, potensi bisnis dan pelestarian budaya melalui pelatihan pembuatan batik Jumputan Palembang. Tujuan jangka panjang dari kegiatan pelatihan ini adalah pemberdayaan secara  ber kelanjutan sehingga peserta memiliki keahlian yang nantinya dapat menjadi sumber pendapatan tambahan dan dapat juga alokasi waktu akan lebih produktif. Kegiatan ini diharapkan menjadi penggagas kegiatan pemberdayaan penderita Desa Ulak Kembahang II, serta pelestarian budaya melalui kain batik Jumputan. Hasil yang diperoleh dari pelatihan pengabdian tersebut yaitu adanya pemahaman yang baik dalam pelatihan kewirausahan sebesar 92.12%. Pelatihan kewirausahaan dibagi menjadi empat sub tema yaitu konsep kewirausahaan, Business Plan, Aspek pemasaran dan analisis lingkungan usaha dan peluang usaha. Peserta pelatihan teknis pembuatan kain jumputan adalah ibu-ibu pengurus PKK, karang taruna dan perwakilan pengrajin songket.

<em><span lang="EN-US">This study examines the effect of the Macro-prudential Intermediation Ratio (MIR) as an instrument of Bank Indonesia's macro-prudential regulation on Non-Performing Assets (NPA) as one of the banking industry performance indicators in Indonesia. In addition, this study also examines several other independent variables such as bank assets as an indicator of bank size, Bank Indonesia interest rates (BI rate), and inflation as macroeconomic indicators and their effect on NPA. The NPA, MIR, and bank asset data used in this study consist of 109 commercial banks operating in Indonesia during the period from January 2015 to December 2020. This study uses an Ordinary Least Square (OLS) analysis approach by undertaking classical assumption tests and statistical tests. The results show that (1) MIR, bank assets, BI rate, and inflation simultaneously have a significant effect on NPA (2) Partially, bank assets have a negative and significant effect on NPA while other variables including macro-prudential policy have no significant effect on NPA (3) Variable MIR, bank assets, BI rate, and inflation can explain variations of NPA variable by 34% (4) Larger bank size encourages prudent financing and reduces NPA.</span></em>