PREDIKSI JENIS KELAMIN PUPA BLACK SOLDIER FLY (HERMETIA ILLUCENS) DENGAN MENGGUNAKAN REGRESI LOGISTIK SERTA BERAT TELUR PADA RASIO JENIS KELAMIN YANG BERBEDA DI SETIAP POPULASI
The black soldier fly (BSF) (Hermetia illucens) is a member of the insect class cultivated due to its ability to convert various kinds of organic waste into bodily biomass that can be utilized as a source of protein and fat for various applications. In this process however, one inhibiting factor...
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| Format: | Final Project |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/47347 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The black soldier fly (BSF) (Hermetia illucens) is a member of the insect class
cultivated due to its ability to convert various kinds of organic waste into bodily
biomass that can be utilized as a source of protein and fat for various applications. In
this process however, one inhibiting factor affecting sustainabilty of cultivation is egg
production; which in turn is determined by the mating process of these insects. The aim
of this research is to (1) predict the sex of the BSF pupae and (2) determine the sex
ratio that produces the most eggs. In this research, the sex of the BSF pupae is predicted
by looking at the mass and length of the pupae, while the sex ratios used to determine
the optimal ratio is 50:50, 60:40, and 40:60 male-to-female. A probabilistic model,
namely logistic regression, is used to predict sex, while the number of eggs is estimated
by the aggregate mass of eggs. It is known from this research that mass is the better
predictor (p-value<0.001) compared to length (p-value 0.053), while the male-tofemale
ratio that produced the most eggs is 40:60. |
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