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Title: | Analisis Frekuensi Sinyal Suara Lebah Madu Apis cerana untuk Deteksi Dini Kehadiran Predator Tawon Vespa velutina |
Other Titles: | Frequency Analysis of Honeybee (Apis cerana) Sound Signals for Early Detection of Vespa velutina Hornet Predator Presence |
Authors: | Rustami, Erus Raffiudin, Rika Apriani, Rahmi |
Issue Date: | 2023 |
Publisher: | IPB University |
Abstract: | Sistem deteksi dini kehadiran predator Tawon Vespa dapat menjadi solusi
dalam melindungi koloni lebah dan membantu petani lebah dalam menghadapi
ancaman predator yang merusak koloni. Penelitian ini bertujuan membangun sistem
deteksi dini (early warning system) yang menginformasikan kehadiran predator
Tawon Vespa velutina berdasarkan frekuensi suara spesifik yang dihasilkan lebah
pekerja Apis cerana. Sistem deteksi dini yang dikembangkan menggunakan bahasa
pemrograman Python dan menghasilkan Graphical User Interface (GUI) untuk
mempermudah pengambilan data dari perekaman suara lebah. Dalam pengambilan
data, dilakukan perlakuan pada koloni lebah dengan tiga kondisi: tanpa gangguan
predator, dengan gangguan alami, dan gangguan buatan. Hasil rekaman suara
menunjukkan adanya perubahan rentang frekuensi pada setiap kondisi, dengan
rentang frekuensi 200-600 Hz menjadi indikator utama kehadiran predator. Sistem
deteksi ini dilengkapi dengan mekanisme notifikasi melalui aplikasi Telegram,
yang dapat mengirimkan pesan notifikasi berupa foto dan teks "Ada Predator
Tawon Vespa!" saat frekuensi yang sesuai terdeteksi. An early detection system for the presence of the hornet predator can serve as a solution to protect bee colonies and assist beekeepers in combating the threat posed by this destructive predator. This study aims to develop an early warning system that informs the presence of Vespa velutina predators based on specific sound frequencies produced by Apis cerana worker bees. The developed early detection system utilizes Python programming language and provides a Graphical User Interface (GUI) for convenient data retrieval from bee sound recordings. During data collection, the bee colonies were subjected to three conditions: without predator disturbance, natural disturbance, and artificial disturbance. The recorded sound samples indicated changes in frequency ranges under each condition, with the frequency range of 200-600 Hz serving as the primary indicator of predator presence. The detection system is equipped with a notification mechanism through the Telegram application, capable of sending notification messages containing photos and the text "Ada Predator Tawon Vespa!" when the corresponding frequency is detected. |
URI: | http://repository.ipb.ac.id/handle/123456789/124502 |
Appears in Collections: | UT - Physics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
cover.pdf Restricted Access | Cover | 431.93 kB | Adobe PDF | View/Open |
Full teks.pdf Restricted Access | Full teks | 2.46 MB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 926.52 kB | Adobe PDF | View/Open |
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