Antika, I Kadek Bella Aries (2015) Analisis pengaruh downtime terhadap Operation Efficiency (OE) pada produksi air minum dalam kemasan (AMDK) dari PT. A menggunakan regresi non-linier, support vector regression (SVR), dan support vector regression - genetic algorithm (SVR-GA). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sebagai salah satu perusahaan yang memproduksi air minum
terbesar di Indonesia, PT. A menyadari bahwa air bersih
terutama air untuk minum sangatlah diperlukan. Proses produksi
air minum di PT. A masih banyak mengalami kendala. Kendala
yang dikenal dengan istilah downtime pada PT. A terdiri dari 4
jenis yakni downtime operasi, downtime proses, downtime
teknikal, dan downtime material yang berpengaruh pada
Operation Efficiency (OE). Untuk mengetahui pengaruh dari
downtime terhadap Operation Efficiency (OE) dilakukan
pemodelan menggunakan tiga metode yakni regresi non-linier,
SVR, dan SVR-GA. Model terbaik untuk setiap metode
dibandingkan dan diperoleh hasil bahwa SVR-GA memberikan
kinerja terbaik karena menghaslkan nilai R2 dan MSE minimum.
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As one of the companies that produce the largest drinking
water in Indonesia, PT. A realized that clean water, especially
water for drinking is required. Drinking water production process
at PT. A still many obstacles. Constraints are known as downtime
at PT. A consists of four types namely operating downtime,
downtime process, technical downtime, and downtime material
effect on the Operation Efficiency (OE). To determine the effect of
downtime on the Operation Efficiency (OE) is done using three
methods of modeling the non-linear regression, SVR, and SVRGA.
The best model for each method were compared and showed
that the SVR-GA provides the best performance since
menghaslkan minimum value of R2 and MSE..
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.536 Ant a |
| Uncontrolled Keywords: | Dwontime,Operation Efficiency (OE), regresi nonlinier, SVR, SVR-GA |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 11 Nov 2019 05:35 |
| Last Modified: | 11 Nov 2019 05:35 |
| URI: | http://repository.its.ac.id/id/eprint/71680 |
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