<mets:mets OBJID="eprint_32614" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-09-14T19:46:11Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>EPrints Universitas Amikom Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_32614_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>ANALISIS PRODUKTIVITAS PADI DENGAN&#13;
PENDEKATAN NDVI (NORMALIZED DIFFERENCE&#13;
VEGETATION INDEX) DI KABUPATEN KEBUMEN &#13;
TAHUN 2025</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Septian Dwi</mods:namePart><mods:namePart type="family">Arfianto</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Penelitian ini bertujuan untuk menganalisis hubungan nilai NDVI terhadap&#13;
produktivitas padi, mengetahui persebaran produktivitas padi, serta mengestimasi&#13;
produksi padi berbasis penginderaan jauh di Kabupaten Kebumen tahun 2025.&#13;
Metode yang digunakan dalam penelitian ini adalah penginderaan jauh&#13;
menggunakan citra satelit Landsat 8 dengan analisis NDVI (Normalized Difference&#13;
Vegetation Index). Data penelitian diperoleh dari pengolahan citra satelit, data&#13;
ubinan, serta data produksi padi dari Badan Pusat Statistik (BPS). Analisis data&#13;
dilakukan menggunakan metode regresi linier untuk mengetahui hubungan antara&#13;
nilai NDVI dan produktivitas padi. Hasil penelitian menunjukkan bahwa nilai&#13;
NDVI memiliki hubungan positif dan kuat terhadap produktivitas padi dengan nilai&#13;
koefisien determinasi (R²) sebesar 0,7812. Persebaran produktivitas padi di&#13;
Kabupaten Kebumen didominasi oleh tingkat kehijauan vegetasi rendah hingga&#13;
sedang. Produktivitas padi tertinggi berada di Kecamatan Puring dengan nilai&#13;
sebesar 6,72 ton/ha, sedangkan produktivitas terendah berada di Kecamatan Ayah&#13;
sebesar 4,85 ton/ha. Hasil estimasi produksi padi berbasis NDVI menunjukkan nilai&#13;
yang lebih tinggi dibandingkan data produksi BPS. Penelitian ini menunjukkan&#13;
bahwa metode NDVI cukup efektif digunakan dalam membantu estimasi&#13;
produktivitas dan produksi padi secara spasial di Kabupaten Kebumen.</mods:abstract><mods:classification authority="lcc">910 Geografi dan perjalanan</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-05-08</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Universitas AMIKOM Yogyakarta;Fakultas Sains &amp; Teknologi</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_32614"><mets:rightsMD ID="rights_eprint_32614_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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