Faizah, Kurniatul (2018) Regresi Gamma dan Regresi Lognormal untuk Memodelkan Biomassa Klorofil-α di Sungai Danube Eropa. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sungai Danube merupakan sungai terpanjang kedua di Eropa setelah Sungai Volga. Pada penelitian ini dilakukan pemodelan biomassa phytoplankton di Sungai Danube Eropa berdasarkan beberapa variabel. Variabel yang digunakan dalam pemodelan adalah kandungan nutrisi seperti konsentrasi nitrogen dan fosfor dalam air, derajat keasaman (pH), konduk-tivitas, dan suhu air sungai. Pada penelitian sebelumnya, biomassa klorofil-α digunakan sebagai ukuran biomassa phytoplankton, sehingga variabel respons pada penelitian ini adalah biomassa klorofil-α. Biomassa klorofil-α di Sungai Danube mengikuti distribusi gamma dan distribusi lognormal. Dengan demikian analisis regresi yang dapat digunakan untuk memodelkan biomassa klorofil-α di Sungai Danube adalah regresi gamma dan regresi lognormal. Berdasarkan nilai AICc, model regresi gamma memiliki performansi yang lebih baik daripada model regresi lognormal dalam memodelkan biomassa klorofil-α di Sungai Danube. Pengujian paramater menunjukkan bahwa variabel berpengaruh signifikan terhadap biomassa klorofil-α di Sungai Danube dalam model gamma adalah suhu dan derajat keasaman (pH). Hasil analisis menunjukkan bahwa semakin tinggi suhu dan derajat keasaman (pH) maka biomassa klorofil-α dari fitoplankton akan semakin besar.
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Danube is the second longest river in Europe after the Volga. Danube River Basin extends into the territories of 19 contries in Europe. In this study, an analysis is conducted to determine factors affecting biomass of phytoplankton in Danube River. Some factors that might affect biomass of phytoplankton are nutrients concentration (e.g. nitrogen and phosphorus), acidity (pH), conductivity, and temperature of river water. In the previous studies, chlorophyll-α biomass was used as an indicator of phytoplankton biomass, hence chlorophyll-α biomass is used as response variable in this study. According to distribution test, phytoplankton klorofil-α biomass in Danube River Basin follows gamma distribution and lognormal distribution. Therefore, gamma regression and lognormal regression can be used to analyse factors affecting chlorophyll-α biomass in Danube River Basin, Europe. The AICc value of the models show that gamma regression model has better performance in this case than lognormal regression model. Parameter significance test of gamma regression model shows that temperature and acidity (pH) of river water significantly affect chlorophyll-α biomass in Danube River Basin. According to regression coefficient, the greater value of temperature and acidity, the value chlorophyll-α biomass will be larger.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | biomassa klorofil-α, regresi gamma, regresi lognormal, Sungai Danube |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Mathematics > 44201-(S1) Undergraduate Thesis |
| Depositing User: | Kurniatul Faizah |
| Date Deposited: | 29 Jul 2021 09:36 |
| Last Modified: | 29 Jul 2021 09:36 |
| URI: | http://repository.its.ac.id/id/eprint/57970 |
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