This study aims to: (a) study and analyze the potential of ecotourism in Tanjung Putting National Park, (b) study and analyze strategies for developing ecotourism in Tanjung Putting National Park, (c) formulate Tanjung Putting National Park ecotourism development strategy. The method of this research is survey and explanation, using primary data and secondary data. Primary data was collected by interview method and filled out questionnaires with 250 respondents selected by purposive sampling. Data analysis tools are SWOT and AHP. The main problem faced in developing ecotourism in Tanjung Putting National Park is the lack of infrastructure and accessibility and guidance to the community about the importance of ecotourism from the Government and Regional Government (Pemda). The results showed that: (a) the potential of Tanjung Puting National Park included a high category seen from the aspect of strength with a value of 3.77 and opportunities with a value of 3.73 (b) Tanjung Puitng National Park ecotourism development strategy was a defensive strategy in quadrant III. Keywords: ecotourism; Tanjung Puting National Park; development strategy; SWOT & AHP

Tujuan kegiatan untuk menerapkan teknologi pengendalian penyakit busuk buah melalui demplot tiga varietas cabe rawit yang dipadukan dengan trichokompos dan fungisida nabati ekstrak daun gelinggang bagi kelompok tani di Kelurahan Kalampangan.  Metode kegiatan dengan memberikan pelatihan: 1) teknologi pembuatan fungisida nabati ekstrak daun gelinggang menggunakan EM4, 2) teknologi pembuatan trichokompos, dan 3) pendampingan aplikasi tricho kompos dan fungisida nabati ekstrak daun gelinggang pada demplot  3 varietas tanaman cabe rawit, serta pengamatan intensitas serangan penyakit busuk buah, bobot panen cabe rawit (kg) dan analisa ekonomi sederhana.  Hasil penerapan teknologi pengendalian penyakit busuk buah (Colletotrichum sp.) menunjukkan intensitas serangan penyakit yang terjadi antara 6,3 – 19,5%,  termasuk dalam ketegori serangan ringan dimana intensitas serangannya <25%. Berusaha tani cabe rawit varietas Cakra Putih tampak lebih menguntungkan dibanding varietas Dewata dan Baskara, dimana serangan penyakit yang terjadi lebih rendah sedangkan yang  tertinggi terdapat pada varietas Baskara.

This study aims to find out which economic sectors are the leading sectors in Indonesia, to know the structure of the regional economy, to find out the development of the leading economic sectors and to find out which sectors have potential sectors in Gunung Mas Regency. The analysis tools used are Location Quotient Analysis, Shift Share, Klassen Typology and Growth Ratio Model. From the results of the analysis it can be concluded from the four analytical tools: (1) the results of the Location Quotient analysis, namely the Agriculture, Forestry and Fisheries Sector, the Construction Sector, the Food and Drink Accommodation Provision Sector, the Information and Communication Sector, the Real Estate Sector, the Service Sector Companies, the Government Administration Sector, Defense and Compulsory Social Security, the Education Services Sector, and the Health Services and Social Activities Sector which are the leading economic sectors in Gunung Mas Regency, Central Kalimantan Province. (2) The results of the Shift Share analysis are that there is no shift in the economic structure in Gunung Mas Regency. (3) The results of the Klassen Typology, namely the Advanced and Rapidly Growing Sector (Quadrant I) in Gunung Mas Regency are the Agriculture, Forestry and Fisheries Sector, the Mining and Quarrying Sector, the Construction Sector and the Information and Communication Sector. (4) The results of the analysis of the Growth Ratio Model, that the Potential sector is the Wholesale and Retail Trade Sector; Car and Motorcycle Repair, Real Estate Sector, Government Administration Sector, Defense and Compulsory Social Security, Health Services and Social Activities Sector

This study aims to provide an empirical explanation of the effect of Investment, Economic Growth, Inflation, Minimum Wage and HDI on Open Unemployment in Kalimantan Region. The research method used is panel data regression analysis method using Fixed Effect Model (FEM). The type of data used is secondary data. Secondary data obtained from the Central Statistics Agency (BPS) Kalimantan Region. The data that has been collected is then analyzed with panel data regression using the Fixed Effect Model where this model uses the Chow Test and Hausman Test to see the Effect of Investment, Economic Growth, Inflation, Minimum Wage and HDI on Open Unemployment in Kalimantan Region using Stata 16.0 software. The results of the analysis in this study indicate that Investment, Economic Growth, Inflation, Minimum Wage and HDI have a significant effect on Open Unemployment in Kalimantan