Peningkatan Aktivitas Belajar dengan Metode Inquiry Pelajaran IPA Kelas V Sdn 09 Sei Dangin

The title of this study is "Increased Activity Learning Lessons inquiri Methods Natural Science Elementary School Fifth Grade 09 Sei Dangin". This study aims to describe the increase in physical activity, mental, emotional as well as the ability of teachers to implement learning by using the inquiry method in teaching Natural Sciences Elementary School fifth grade 09 Sei Dangin. The method used is descriptive. Research is a form of action research. Collecting data using observation sheets and booklet. Research dilakuakn with two cycles. In the first cycle of physical activity of students by 75%, amounting to 55% of mental activity, emotional activity by 70%. In the second cycle of physical activity increased to 95%, to 80% of mental activity, emotional activity to 95%. While in the first cycle IPKG 2 of 2.85, then the second cycle IPKG of 3.95. This shows that the use of the inquiry method can improve the activity and learning outcomes of students in learning Natural Sciences Elementary School fifth grade 09 Sei Dangin

Intended versus unintended consequences of migration restriction policies: evidence from a natural experiment in Indonesia

This article studies the consequences of restrictions to migration at the origin on labor market outcomes and school enrolment in origin communities. Our difference-in-differences specification exploits the differential impact across districts in Indonesia of a reform that restricted the migration of Indonesian female domestic workers towards Saudi Arabia in 2011. Our results suggest that this reform did not lead to higher unemployment in Indonesia, but it increased the proportion of workers employed in informal jobs and in agriculture. No detectable change in the consumption patterns of Indonesian households appears from our analysis, suggesting that rural areas in Indonesia could absorb the sudden increase in the availability of workforce. Our findings also show an increase in junior secondary school enrolment of both males and females, arguably reflecting the importance of the maternal presence in the household for the investment in human capital of children

Deforestation in Indonesia: A Household Level Analysis of the Role of Forest Dependence and Poverty

This paper examines the extent of, and factors associated with, Indonesian deforestation caused by small scale farmers. A survey of 216 rural households in five villages in East Kalimantan, Indonesia, was conducted to study to what extent forest dependence and various facets of poverty encourage people to clear forestland. Results indicate that households that rely on forests for cash and in-kind income (from activities such as hunting and firewood collection) are less likely to clear forests for agricultural use. Forest clearing is also negatively related to the availability of off-farm employment. An important finding is that poorer farmers are less likely to engage in forest clearing

MANAGEMENT STRATEGIES FOR INDONESIAN SMALL-HOLDER RUBBER PRODUCTION IN SOUTH SUMATRA: A BIOECONOMIC ANALYSIS

A simplified version of the BEAM Rubber Agroforestry Model is embedded in a dynamic economic model to examine the impact of uncertainty about prices and climate on decision variables. Solutions, in terms of optimal levels for decision variables are found using a Monte Carlo stochastic framework. These solutions were used to derive risk-efficient frontiers corresponding to different levels of the decision variables. The results underline the importance of including uncertainty in dynamic bioeconomic systems since profits under uncertainty turned out to be quite different from those obtained with prices and climate assumed to be constant

MANAGEMENT STRATEGIES FOR INDONESIAN SMALL-HOLDER RUBBER PRODUCTION IN SOUTH SUMATRA: A BIOECONOMIC ANALYSIS

A simplified version of the BEAM Rubber Agroforestry Model is embedded in a dynamic economic model to examine the impact of uncertainty about prices and climate on decision variables. Solutions, in terms of optimal levels for decision variables are found using a Monte Carlo stochastic framework. These solutions were used to derive risk-efficient frontiers corresponding to different levels of the decision variables. The results underline the importance of including uncertainty in dynamic bioeconomic systems since profits under uncertainty turned out to be quite different from those obtained with prices and climate assumed to be constant.Bioeconomics, Stochastic analysis, Rubber, Indonesia, Production Economics, Risk and Uncertainty,