Browsing by Author "Nurdin"

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    Land Suitability and Farmer Perception on Maize Cultivation in Limboto Basin Gorontalo
    (Badan Penelitian dan Pengembangan Pertanian, 2013) Bahtiar; J. Husain; H. Kasim; Nurdin
    Agropolitan program, leads by increasing maize production, has been promoted in Gorontalo. Such effort requires, among others, study on spatial land suitability. The objectives of this study were to determine land suitability for maize in Limboto Basin and to spatially present the quality of land units to the plant (maize) requirements. Farmer perception on maize cultivation is also generated. Standard field and laboratory procedures have been performed to characterize land suitability for maize. Besides, geographical information system has been employed to delineated the spatial availability. Among 35,594 ha evaluated area in Limboto Basin Gorontalo, 21,233 ha is categorized as fairly suitable for maize while 14,361 ha is classified as marginally suitable for maize. Majority of the observed farmers were in favor to cultivate maize on their farmland.
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    SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JENIS TANAH YANG SESUAI UNTUK TANAMAN PANGAN MENGGUNAKAN METODE SMARTER DAN SAW
    (Sekretariat Badan Penelitian dan Pengembangan Pertanian, 2020-06-10) Nurdin; Fahrozi, Fazar; Ula, Mutammimul; Muthmainah
    Land or soil is a fundamental human resource. With the existence of land, humans can produce food, clothing, shelter, mining, and a place for various activities to be carried out. On the one hand, the need for land for agriculture continues to increase. On the other hand, fertile land is increasingly limited because it is used for various purposes other than agriculture. In addition, farmers generally find it difficult to determine the right type of plant to cultivate on the land they own. This study aims to determine the type of soil suitable for food crops using the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) method and the Simple Additive Weighting (SAW) method. Criteria and weight calculations for the SMARTER and SAW methods are soil fertility (W1), soil nutrients (W2), soil moisture (W3), soil texture (W4), soil peat thickness (W5), soil reaction (pH) (W6) , and soil drainage (W7). The results of the research applying the SMARTER and SAW methods resulted in the highest preference value of 0.824286 on Andosol soil types for rice plants.