Desa Kepuhsari telah dideklarasikan oleh Pemerintah Kabupaten Wonogiri sebagai Kampung Wisata Wayang dan menjadi salah satu produk unggulan Wonogiri. Desa Kepuhsari juga memiliki keindahan alam yang sangat luar biasa dan merupakan potensi yang cukup baik untuk menjadi desa wisata alam. Namun perkembangan dan pengelolaan dari potensi ala mini terlihat belum maksimal. Kondisi ini sangat disayangkan karena omset yang dihasilkan juga tidak cukup menjanjikan untuk dijadikan andalan untuk profesi bagi penduduk Kepuhsari terutama dusun sektor atas. Berdasarkan diskusi awal yang telah dilakukan menunjukkan bahwa masih banyak permasalahan yang dihadapi oleh pengelola wisata alam di desa Kepuhsari. Kegiatan pengabdian ini bertujuan untuk penguatan tata kelola dan kelembagaan yang efektif dan penyusunan penyusunan langkah strategis dalam pengembangan desa wisata Kepuhsari. Pengabdian ini bekerjasama dengan IKSA (Ikatan Karang Taruna Sektor Atas) dan juga Pemerintah Desa Kepuhsari. Strategi pengembangan Desa Wisata Kepuhsari dapat dilakukan dengan membuat master plan, menumbuhkan peran masyarakat sekitar, peningkatan peran Pemerintah, menarik Investor masuk, memperbaiki sarana dan prasarana wisata alam, membangun sektor usaha pendukung, dan memaksimalkan wisata pendukung di Desa Kepuhsari.

This research aims to identify the relationship between poverty and risk preference in Indonesia empirically. This research employs the Indonesia Family Life Survey 2014 (IFLS5) using the Ordinary Least Square (OLS) and quantile regression approach, one of the most extended longitudinal data, to support this research design. The result reveals that poor households are more risk-averse than others across income levels. Moreover, poor people are poorly educated and mostly come from rural and disaster-prone areas. This evidence suggests that poor people from rural communities and disaster-prone regions should be prioritized and empowered to move from poverty zones due to their relatively high vulnerability.

The research aim's to know the influence of interest rate ofSBI, exchange rate, total bank lending, supply of funds and commercial bank amount to rigidly bank lending rate in Indonesian period of January 2001 until June 2004. The research use secondary data by character of time series. The research methodology used a partial adjustment model that rigidly bank lending rate are influence by all independent variable such interest rate of SBI, exchange rate, and total bank lending, supply of fund and commercial bank amount in banking sector. The empirical results that rigidly bank lending rate are influenced by all independent variable are collectively such interest rate of SBI, exchange rate, and total bank lending, supply of fund and commercial bank amount in banking sector. But as partial, rigidly bank-lending rate are influenced by an interest rate of SBI, exchange rate, total bank lending and supply of funds and commercial bank amount, which don't have an effect to rigidly bank lending rate.The result that is suitable with the theory, where monetary instrument (interest rate of SBI) can be used to influence bank-lending rate as process transmission mechanism mon­etary policy by price channel approach. Adjustment coefficient is equal to 0,5484 which meaning 54,84 % represents the difference between bank lending rate actual with bank lending rate that desired which fulfilled to be reached in one period, where speed of adjustment bank lending rate in response change of independent variable equal to 5 months 27 day, with mean lag independent variable equal to 1,1812867 months.

Global economy has currently integrated and has been interdependent between the developing and developed countries. The improved integration and interdependence level is expected to improve citizens’ welfare. This study aims at testing the correlation between fiscal and trade policies and welfare in ASEAN countries + 3 countries (Singapore, Malaysia, Indonesia, Thailand, Philippines, Brunei Darussalam, Cambodia, Vietnam, Myanmar, Laos + Japan, China, and Korea). It used the secondary data from World Bank, Asian Development Bank (ADB) and Economist Intelligence Unit from 1990 to 2015. The analysis uses the POLS-ECM (Panel Ordinary Least Square-Eagle Granger Error Correction Model). The results of analysis show that economic growth, infrastructure capital expenditure, economic openness, and tax ratio had a significant effect on welfare ASEAN + 3 countries