| dc.contributor.advisor | Rustami, Erus | |
| dc.contributor.advisor | Raffiudin, Rika | |
| dc.contributor.author | Apriani, Rahmi | |
| dc.date.accessioned | 2023-09-03T02:26:10Z | |
| dc.date.available | 2023-09-03T02:26:10Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/124502 | |
| dc.description.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. | id |
| dc.description.abstract | 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. | id |
| dc.language.iso | id | id |
| dc.publisher | IPB University | id |
| dc.title | Analisis Frekuensi Sinyal Suara Lebah Madu Apis cerana untuk Deteksi Dini Kehadiran Predator Tawon Vespa velutina | id |
| dc.title.alternative | Frequency Analysis of Honeybee (Apis cerana) Sound Signals for Early Detection of Vespa velutina Hornet Predator Presence | id |
| dc.type | Undergraduate Thesis | id |
| dc.subject.keyword | frekuensi | id |
| dc.subject.keyword | predator tawon | id |
| dc.subject.keyword | sinyal suara lebah | id |
| dc.subject.keyword | sistem deteksi dini | id |
| dc.subject.keyword | sistem notifikasi | id |
