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dc.contributor.advisorSiregar, Ameilia Zuliyanti
dc.contributor.authorButar, Pedro Chandra M Butar
dc.date.accessioned2024-04-18T08:08:11Z
dc.date.available2024-04-18T08:08:11Z
dc.date.issued2024
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/93008
dc.description.abstractThe use of coffee expert applications can help farmers detect pest attacks based on symptoms of attacks on coffee plants. This study aims to determine the application of the coffee expert system to coffee farmers, determine the diversity of insect species and pest status on coffee plants in Telagah Village, Sei Bingai District, Langkat Regency, North Sumatra. Insect identification was carried out by the Plant Pest Laboratory, Faculty of Agriculture, University of Sumatra Utara which was carried out from July to August 2023. This study used purposive sampling method with yellow sticky trap. The results showed insects caught as many as 10 orders, 21 families, 25 genera as many as 4743 individuals. The results of the analysis of Coffee Experts detected Hypothenemus hampei pest attack = 6.80%. Diversity Index (H') = 1.91, evenness index (E) = 0.59 and species richness index (R) = 8,46. The use of coffee expert applications can help farmers detect pests appropriately.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectinsectsen_US
dc.subjectdiversityen_US
dc.subjectcoffeeen_US
dc.subjectcoffee experten_US
dc.subjectTelagahen_US
dc.subjectSDGsen_US
dc.titleKeanekaragaman Serangga dan Penggunaan Aplikasi Sistem Pakar Kopi di Desa Telagah Kecamatan Sei Bingai Kabupaten Langkaten_US
dc.title.alternativeInsect Diversity and Use of Coffee Expert System Applications in Telagah Village, Sei Bingai District, Langkat Regencyen_US
dc.typeThesisen_US
dc.identifier.nimNIM180301208
dc.identifier.nidnNIDN0027057303
dc.identifier.kodeprodiKODEPRODI54211#Agroteknologi
dc.description.pages84 Pagesen_US
dc.description.typeSkripsi Sarjanaen_US


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