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Journal : Jurnal Agrista

Efikasi Campuran Herbisida Pendimethalin serta Pengaruhnya Terhadap Gulma dan Hasil Tanaman Kedelai Abubakar, M. Ilyas; Hasanuddin, Hasanuddin; Rusdi, Muhammad; Haswandi, Haswandi
Jurnal Agrista Vol 10, No 3 (2006): Volume 10 Nomor 3 Desember 2006
Publisher : Fakultas Pertanian, Universitas Syiah Kuala

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Abstract

 The Efficacy of Pendimethalin Herbicide Mixtures and its Effects on Weed and Yield of SoybeanABSTRACT. Field research has been conducted in Experimental Farm of Agriculture Faculty University of Syiah Kuala Banda Aceh from March to July 2006 for evaluation efficacy of pendimethalin herbicide mixtures and its effect on weed and yield of soybean. Pendimethalin+imazetaphyr herbicide at dosage of 1.0 kg+70 g.a.i. ha-1 could decrease dry weight weed and increase percentage of weed control. Dried seed yield were higher when pendimethalin+imazetaphyr herbicide was applied at dosage 1.0 kg + 70 g.a.i. ha-1.
Perbandingan Object Oriented Classification dan Maximum Likelihood Classification pada Pemetaan Penutupan Lahan di Kabupaten Gayo Lues Rusdi, Muhammad
Jurnal Agrista Vol 12, No 2 (2008): Volume 12 Nomor 2 Agustus 2008
Publisher : Fakultas Pertanian, Universitas Syiah Kuala

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Abstract

Comparison of object Oriented Classification With Maximum Likelihood Classification on Land Cover Maaping in District of Gayo LuesABSTRACT. Image classification method used critically effects the classified image produced as well as its accuracy. One of the recently introduced classification methods is Object-Oriented Classification (OOC). The fundamental difference between this method and that of Maximum Likelihood Classification (MLC) lies on the basic unit of image analytical prosses, i.e., image object or segment, and not on a single pixed. The new classification method uses a segmentation procedure with a hierarchical approach which allows an addition of an object  characteristic to other information related  to the classified object, such as from, texture, and context. This object or segment is formed because the smallest region has a larger area than the image pixel. In this study, MLC and OOC classification methods were compered using Landsat ETM+ image for Gayo Lues District of Aceh. The objective of this study was to map out land cover/ landuse classes of the research area and compare the result and its accuracy using the MLC and OOC classification methods. Result  of the study showed that a higher, more detailed, hierarchical land cover/ landuse class with a higher accuracy was obtained using OOC classification method which corresponds better to the contextual condition in the field compared to that of the pixel- based classification method.