| Kode Mata Kuliah | BT5231 / 3 SKS |
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| Penyelenggara | 211 - Biotechnology / SITH |
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| Kategori | Lecture |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Perancangan Rekayasa Bioproses | Bioprocess Engineering Design |
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| Bahan Kajian | - Perancangan metode optimasi proses hulu pada bioproses
- Perancangan sistem operasi bioreaktor
- Perancangan integrasi sensor dan pendekatan machine learning dalam evaluasi bioproses
- Pembuatan model matematis untuk prediksi produktivitas bioproduk
- Perancangan metode optimasi proses hilir pada bioproses
- Pembuatan neraca massa dan Energi pada sistem bioproses yang telah teroptimasi
- Perhitungan kelayakan industri berdasarkan analisis CAPEX dan OPEX
| - Design of upstream process optimisation methods in bioprocessing
- Design of bioreactor operating system
- Design of sensor integration and machine learning approach in bioprocess evaluation
- Mathematical modelling for bioproduct productivity prediction
- Design of downstream process optimisation methods in bioprocesses
- Generation of mass and energy balance in the optimised bioprocess system
- Calculation of industrial feasibility based on CAPEX and OPEX analysis
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mahasiswa mampu mengoperasikan peralatan laboratorium yang sesuai dalam bioproses
- Mahasiswa mampu mengaplikasikan dasar perhitungan kinetika dalam bioproses dalam tahapan optimasi
- Mahasiswa mampu merancang proses optimasi bioproses yang efisien dengan menggunakan pendekatan variabel tunggal dan multivariate
- Mahasiswa mampu melakukan analisis hasil proses optimasi dengan menggunakan pendekatan perhitungan berbasis sel, metabolit, dan molekuler
- Mahasiswa mampu merancang simulasi hasil analisis optimasi untuk memprediksi efisiensi produksi dengan menggunakan pendekatan machine learning
- Mahasiswa mampu memprediksi efisiensi produksi pada setiap peningkatan skala produksi berdasarkan hasil perhitungan kinetika bioproses
- Mahasiswa mampu menyampaikan hasil pekerjaan baik mandiri maupun berkelompok, secara oral dan tertulis
| - Students are able to operate appropriate laboratory equipment in bioprocessing
- Students are able to apply the basic calculation of kinetics in bioprocesses in the optimisation stage
- Students are able to design efficient bioprocess optimisation processes using single variable and multivariate approaches
- Students are able to analyse the results of the optimisation process using cell-based, metabolite, and molecular calculation approaches
- Students are able to design simulations of optimisation analysis results to predict production efficiency using a machine learning approach
- Students are able to predict production efficiency at every increase in production scale based on the results of bioprocess kinetics calculations
- Students are able to convey the results of work both independently and in groups, orally and in writing
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| Metode Pembelajaran | Proses belajar dalam kelas, Penugasan terstruktur, Kegiatan mandiri | An in-class learning process, Structured assignments, Independent activities |
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| Modalitas Pembelajaran | Moda penyerapan: Visual, Auditorial
Moda Pelaksanaan: Sinkronous, Asinkronous | Modes of absorption: Visual, Auditorial
Modes of Execution: Synchronous, Asynchronous |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Keterampilan laboratorium 30%, Laporan Praktikum 20%, Presentasi Kelompok 20%, Tugas mandiri 20%, Kuis 10% | Laboratory skills 30%, Practicum report 20%, Group presentation 20%, Individual assignment 20%, Quiz 10% |
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| Catatan Tambahan | | |
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