METEOROLOGICAL PARAMETERS THAT EFFECTS ON ASSESSING THE POTENTIAL DISTRIBUTION OF INSECT PESTS: THE COFFEE BERRY BORER (Hypothenemus hampei) (CASE STUDY: WEST JAVA PROVINCE)

West Java Province is one of the producers of coffee quality products has been recognized world. It is important to maintain the quality of coffee especially caused by pest attacks. Hypothenemus hampei or Coffee Berry Borer is a major pest that damages the quality of coffee. The study was conducted...

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Bibliographic Details
Main Author: HILDAYANA (nim : 12813018), INTAN
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/28074
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:West Java Province is one of the producers of coffee quality products has been recognized world. It is important to maintain the quality of coffee especially caused by pest attacks. Hypothenemus hampei or Coffee Berry Borer is a major pest that damages the quality of coffee. The study was conducted to determine the spread of Coffee Berry Borer based on meteorological parameters. The modeling of species distribution is done by using the Maximum Entropy (Maxent) model using the data of Coffee Berry Borer pest attack points obtained from the monthly observation data of 2016 and five meteorological parameters and environmental variables ie monthly rainfall, average temperature, dew point temperature, altitude and land cover. <br /> <br /> The model validation model based on Area Under Curve (AUC) from the Receiver Operating Characteristic (ROC) curve shows that the AUC value of the Coffee Berry Borer distribution model has medium to very good category range. The spread of Coffee Berry Borer pest attacks commences from February-March. The rate of Coffee Berry Borer pest attacks is quite high in August which coincides with peak harvest time. The meteorological and environmental parameters that contribute to Coffee Berry Borer distribution are rainfall (42%), temperature (20%), dew point temperature (15.4%), elevation (13%) and land cover (9.6%).