Net Farm Income as Reflection of Critical Land Evaluation in Welang Watershed, Indonesia

MAROETO1; WONGSO ATMOJO SUNTORO2; SUTRISNO DJOKO3; PRIYADHARSHINI ROSSYDA4
1 Sebelas Maret University, Doctoral Programs Faculty of Agriculture, Central Java, 57126, Indonesia
2 Sebelas Maret University, Departement of Soil Science, Faculty of Agriculture, Central Java, 57126, Indonesia
3 Sebelas Maret University, Departement of Agriculture Economics, Faculty of Agriculture, Central Java, 57126, Indonesia
4 University of Pembangunan Nasional “Veteran”, Departement of Soil Science, Faculty of Agriculture, East Java, 60294, Indonesia

Abstract

Maroeto, W. A. Suntoro, S. Djoko and P. Rossyda, 2017. Net farm income as reflection of critical land evaluation in welang watershed, Indonesia. Bulg. J. Agric. Sci., 23 (5): 826–833

Agriculture activities in Indonesia is currently faced with many dynamic changes and environmental developments and fundamental issues such as population growth and market demand bring about deforestation or conversion of forests toward coffee plant that finally degrade the quality of watershed function. Watershed in several zone of Indonesia are run into environmental degradation especially land resources lead up critical land. Critical land conditions get impact toward soil productivity decreased and finally farming had been economics losses. As is it known that farm declared loss if total of cost larger than revenue in calculated of farm analysis. The purpose of this research is to determine the profile of the criticality of the highlands of Welang watershed and know the area which has the highest profit in the cultivation of coffee. Sample a coffee grower 60 spread of at Purwodadi, Prigen and Tutur District, Pasuruan, East Java. Data analysis technique used is the calculation of farm analysis and statistical tests using One Way Anova and supported by Geographic Information System (GIS) spatial analysis. The results showed that the regions with the highest coffee farm profits are Purwodadi but less efficient in production expenses than Prigen. Tutur had lowest rated coffee production areas it is necessary to reconsider the physical suitability parameters topography, climate and soil.

Key words: critical land; income; land evaluation; watershed 

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