Centre For Research in Data Science

Hammami, Amru Rasyid (2025) Centre For Research in Data Science. Project Report. [s.n.], [s.l.]. (Unpublished)

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Abstract

Seiring meningkatnya kebutuhan akan sumber energi terbarukan, kultivasi alga menjadi semakin penting, terutama karena potensinya sebagai bahan baku untuk produksi biofuel yang berkelanjutan. Tingkat keberhasilan dan laju produksi dalam suatu kultur alga dapat dipantau secara efektif dengan mengukur densitas optiknya (OD), sehingga untuk menentukan efisiensi suatu metode budidaya, dilakukan analisis mendalam terhadap data densitas optik tersebut. Penelitian ini secara spesifik menganalisis data densitas optik untuk mengevaluasi efektivitas dua jenis pupuk ('BAJA A' dan 'BAJA B') serta pengaruh dari intensitas panen yang berbeda. Untuk tujuan ini, metode Analysis of Variance (ANOVA) diterapkan guna menguji signifikansi statistik dari setiap faktor perlakuan dan kemungkinan adanya efek interaksi di antara keduanya. Hasil analisis menunjukkan bahwa pada fase pertumbuhan awal, pemilihan pupuk memiliki dampak yang krusial, di mana pupuk 'BAJA A' secara signifikan menghasilkan laju pertumbuhan yang lebih cepat dibandingkan ‘BAJA B’ (p−value=0.004). Namun, pada fase pemulihan pasca-panen, dinamikanya berubah. Faktor yang terbukti signifikan memengaruhi laju pertumbuhan kembali adalah intensitas panen (p−value=0.032), bukan jenis pupuk yang digunakan. Tidak ada efek interaksi yang signifikan yang ditemukan antara jenis pupuk dan intensitas panen dalam fase ini. Keabsahan seluruh temuan ini didukung oleh hasil pemeriksaan asumsi statistik yang menunjukkan bahwa data telah memenuhi syarat normalitas dan homogenitas varians.
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As the need for renewable energy sources increases, the cultivation of algae is becoming increasingly important, especially because of its potential as a raw material for sustainable biofuel production. The success rate and production rate in an algae culture can be effectively monitored by measuring its optical density (OD), so that to determine the efficiency of a cultivation method, an in-depth analysis of the optical density data is carried out. This study specifically analyzed optical density data to evaluate the effectiveness of two types of fertilizers ('BAJA A' and 'BAJA B') as well as the effects of different harvest intensities. For this purpose, the Analysis of Variance (ANOVA) method was applied to test the statistical significance of each treatment factor and the possible effects of interactions between the two. The results of the analysis showed that in the early growth phase, the selection of fertilizers had a crucial impact, where 'BAJA A' fertilizer significantly produced a faster growth rate than 'BAJA B' (p−value=0.004). However, in the post-harvest recovery phase, the dynamics change. The factor that has been shown to be significant in influencing the rate of regrowth is the intensity of the harvest (p−value=0.032), not the type of fertilizer used. No significant interaction effects were found between fertilizer type and harvest intensity in this phase. The validity of all these findings is supported by the results of examining statistical assumptions that show that the data have met the requirements for normality and homogeneity of variance

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Optical Density, Harvest Intensity, Algae Cultivation, Growth Rate, Fertilizer, Densitas Optik, Intensitas Panen, Kultivasi Alga, Laju Pertumbuhan, Pupuk.
Subjects:	Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry) S Agriculture > SH Aquaculture. Fisheries. Angling
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Amru Rasyid Hammami
Date Deposited:	31 Jul 2025 05:14
Last Modified:	31 Jul 2025 05:14
URI:	http://repository.its.ac.id/id/eprint/124469

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