Ladyya, Faroh (2015) Optimasi Kualitas Lampu Gls Produksi Pt Philips Indonesia Secara Serentak Dengan Fungsi Desirability Berbasis Pso-Cf. Undergraduate thesis, Institu Teknologi Sepuluh Nopember.
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Abstract
Usaha yang dilakukan untuk menjaga kepercayaan
konsumen pada kualitas lampu GLS produksi PT. Philips adalah
dengan meningkatkan kualitas produknya. Kualitas lampu GLS
diukur dari tiga variabel yaitu lumen, wattage, dan lifetime.
Faktor-faktor yang mempengaruhi ketiga variabel respon, yaitu
PD (Pool Distance) dan CML (Constant Mounting Length). Pada
penelitian ini digunakan fungsi desirability untuk mendapatkan
nilai optimum kualitas lampu GLS secara serentak. Fungsi
desirability dibentuk berdasarkan nilai prediksi respon yang
didapatkan dari model response surface. Kombinasi level faktor
yang menghasilkan nilai respon paling optimum didapatkan
dengan memaksimumkan global desirability function. PSO-CF
merupakan metode metaheuristik yang kemudian digunakan
untuk memaksimumkan nilai global desirability. Nilai Optimasi
menggunakan batas spesifikasi perusahaan dibandingkan dengan
penelitian sebelumnya dan didapatkan hasil bahwa PSO-CF dan
metode sebelumnya memberikan hasil nilai global desirability
yang sama, yaitu sama dengan 1. Namun, PSO-CF mampu
menemukan nilai lumen dan lifetime yang lebih baik. Sedangkan
apabila digunakan batas berdasarkan hasil percobaan, PSO-CF
mampu menghasilkan nilai global desirability 4,4137% lebih baik
dari pada metode sebelumnya. Kombinasi level faktor yang
didapatkan yaitu 24,1483 mm untuk PD dan 27,216 mm untuk
CML.
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An effort to keep the consumer’s trust at the quality of GLS
lamps produced by PT. Philips is to improve the quality of the
products. Quality of GLS lamps is measured from three variables:
the lumen, wattage, and lifetime. There are two factors that
influence three response variables, namely PD (Pool Distance)
and CML (Constant Mounting Length). Desirability function that
used in this research is to obtain the optimum value of GLS lamps
quality simultaneously. Desirability function is formed based on
the predictive value of the response that obtained from the
response surface models. The combination of factor levels that
generate the best optimum response values obtained by
maximizing the global desirability function. PSO-CF is a
metaheuristic methods that maximize the value of global
desirability. The optimization value using boundary specification
companies compared with previous studies and showed that PSOCF
and previous methods have the same value of desirability
global, which is equal to 1. However, the PSO-CF is able to find
the value of the lumen and lifetime better. Whereas when used
boundary spesification based on the results of the experiment,
PSO-CF is able to generate a global value desirability 1,76 %
better than the previous method. The combination of factors levels
obtained are 24.1578 mm for PD and 27.2134 mm for CML.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Desirability Function; Lampu GLS; PSO-CF |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | - Taufiq Rahmanu |
| Date Deposited: | 10 Jul 2018 03:54 |
| Last Modified: | 10 Jul 2018 03:54 |
| URI: | http://repository.its.ac.id/id/eprint/52179 |
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