dc.contributor.advisor | Siregar, Ameilia Zuliyanti | |
dc.contributor.author | Butar, Pedro Chandra M Butar | |
dc.date.accessioned | 2024-04-18T08:08:11Z | |
dc.date.available | 2024-04-18T08:08:11Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/93008 | |
dc.description.abstract | The 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.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | insects | en_US |
dc.subject | diversity | en_US |
dc.subject | coffee | en_US |
dc.subject | coffee expert | en_US |
dc.subject | Telagah | en_US |
dc.subject | SDGs | en_US |
dc.title | Keanekaragaman Serangga dan Penggunaan Aplikasi Sistem Pakar Kopi di Desa Telagah Kecamatan Sei Bingai Kabupaten Langkat | en_US |
dc.title.alternative | Insect Diversity and Use of Coffee Expert System Applications in Telagah Village, Sei Bingai District, Langkat Regency | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM180301208 | |
dc.identifier.nidn | NIDN0027057303 | |
dc.identifier.kodeprodi | KODEPRODI54211#Agroteknologi | |
dc.description.pages | 84 Pages | en_US |
dc.description.type | Skripsi Sarjana | en_US |