ESTIMASI PRODUKTIVITAS PADI MENGGUNAKAN TEKNIK PENGINDERAAN JAUH DALAM MENDUKUNG PROGRAM SWASEMBADA PANGAN

Ahmad Yazidun Nafi, Tjaturahono Budi Sanjoto, Erni Suharini

Abstract

Pati Regency is one of the largest rice-producing areas nationwide. However, data on the productivity of rice plants have been inadequate. So it appears the problem, 1) how the productivity of rice and how to estimate productivity of rice in support of food self-sufficiency program in Pati District? Population rice area Pati regency with Sample 85 points based on the interpretation of NDVI. The sampling method is simple random sampling.

The first variable is productivity of paddy and the second variable is rice productivity estimates. The research instrument used questionnaire. Data analysis using the digital image interpretation technique and quantitative descriptive. Comparing the results mean produtivitas rice by BPS with the results of the study (2014) 5.43 with 5.5 tons / ha, the difference of 0.07 tons / ha. Among the data DISPERTANAK with the results of the study (2015) 109480 with 106,188.62 ha / year. There is a difference of 3.00%. So that remote sensing methods utilizing NDVI value in rice plants can be used to estimate the harvest area.

Keywords

Remote Sensing; Rice Productivity; Self-sufficiency

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References

Sutanto. 1994. Penginderaan Jauh Jilid 1 (revisi). Yogyakarta: Gadjah Mada Press.

Wahyunto. 2009. Lahan Sawah di Indonesia sebagai Pendukung Ketahanan Pangan Nasional. Dalam Jurnal Informatika Pertanian Volume 18 Nomor 2

Wahyunto, dkk. 2006. Pendugaan Produktivitas Tanaman Padi Sawah memalui Analisis Citra Satelit. Dalam Jurnal Informatika Pertanian Volume 15.

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