Perbandingan Optimasi Respon Menggunakan Pendekatan Signal To Noise Ratio Dan Dual Response Surface (Studi Kasus : Respon Kebulatan Poros Honda NSR)

Wuryaningsih, Andriani (2007) Perbandingan Optimasi Respon Menggunakan Pendekatan Signal To Noise Ratio Dan Dual Response Surface (Studi Kasus : Respon Kebulatan Poros Honda NSR). Other thesis, Institut Teknologi Sepuluh Nopember.

Text 1303100052-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (9MB) | Request a copy

Abstract

Penelitian ini bertujuan untuk mengetahui setting terbaik pada masing-masing faktor yang mempengaruhi respon kebulatan benda kerja untuk memperoleh ni1ai optimumnya. Respon kebulatan memiliki karakteristik smaller the better. Setting terbaik tersebut diperoleh melalui dua metode pendekatan, yaitu metode Signal to Noise Ratio (SIN Ratio) dan metode Dual Response Surface (DRS). SIN Ratio lebih mengutamakan efektifitas dan kemudahan perhitungan serta mengabaikan penyelidikan sekuensial alami (sequential nature of investigation). Dalam penelitian ini, DRS mencoba mengatasi kelemahan SIN Ratio dengan mengoptimumkan fungsi rata-rata sebagai respon primer dan fungsi standar deviasi sebagai respon sekunder. DRS mengupayakan rata-rata yang optimum dengan tetap menjaga standar deviasi respon dalam suatu nilai tertentu. Nilai optimum respon kebulatan yang diperoleh dengan menggunakan pendekatan SIN Ratio adalah 0.12575 dengan setting kecepatan potong sebesar 27.3 meter/menit, gerak makan sebesar 0.112 mm/menit dan kedalaman pemotongan sebesar 0.5 mm. Sedangkan nilai optimum respon yang diperoleh dengan menggunakan pendekatan DRS adalah 0.06105 dengan setting kecepatan potong sebesar 16.2 meter/menit, gerak makan sebesar 0.1503 mm/menit dan kedalaman pemotongan sebesar 0.9 mm.
=========================================================================================================================================
This project is purposed to get best setting for both factor that influence response center of roundness. This response has smaller the better characteristics. Two methods used to get best setting to optimize this response. These methods are Signal to Noise Ratio (SIN Ratio) and Dual Response Surface (DRS). SIN Ratio more focused to effectiveness and easiness of calculation and also neglect about the sequential nature of investigation. In this research, DRS try to solve the weakness of SIN Ratio by optimize mean function as primary function and standard deviation function as secondary response. DRS try to get optimum mean while keep standard deviation at some value. Optimum value of this response center of roundness by SIN Ratio is 0.12575 with 27.3 meters/minutes of cutting speed, 0. 112 milimeterslminutes of sclupt movement and 0.5 milimeters cutting deep. Optimum value of this response center of roundness by DRS is 0.06105 with 16.2 meters/minutes of cutting speed, 0.1503 milimeters/minutes of sclupt movement, and 0.9 milimeters cutting deep.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Signal to Noise Ratio, Dual Response Surface, Optimasi, Signal to Noise Ratio, Dual Response Surface, Optimization.
Subjects:	Q Science > QA Mathematics > QA279 Response surfaces (Statistics). Analysis of covariance.
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Yeni Anita Gonti
Date Deposited:	23 Sep 2025 07:03
Last Modified:	23 Sep 2025 07:04
URI:	http://repository.its.ac.id/id/eprint/128384

Actions (login required)

View Item