Bayesian Semiparametrik Dalam Analisis Reliabilitas (Studi Kasus Optimasi Tingkat Keausan Pahat)

Rufaidah, Anik (2007) Bayesian Semiparametrik Dalam Analisis Reliabilitas (Studi Kasus Optimasi Tingkat Keausan Pahat). Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

Setiap komponen yang digunakan dalam proses operasi, umumnya mempunyai laju kerusakan yang scmakin meningkat. Dalam bidang industri konsep relabilitas umumnya diterapkan untuk menentukan pergantian komponen secara optimal. Dalam penerapan data yang digunakan dalam analisis reliabilitas umumnya jumlahnya terbatas, dan tidak mengikuti suatu distribusi tertentu. Selain itu ada beberapa yang mcmpengarui reabilitas komponen yaitu lingkungan operasional pada saat komponen tersebut beroperasi. Untuk mengatasi hal tersebut dapat diatasi dengan menggunakan analisis reliabilitas dengan membentuk ModeI Hazard Proporsionul dengan pendekatan metode Bayesian Semiparametrik, karena metode tersebut dapat menghasilkan taksiran parameter-parameter usia pakai yang lebih teliti. Dalam penelitian ini, data yang digunakan adalan usia pakai pahat, yang dipengarui oleh faktor-faktor antara lain kecepatan potong, kedalaman potong, ketajaman pahat. Yang ingin dicari adalah waktu pergantian optimal, dan Model Hazard Proporsionul yang digunkan adalah dengan pendekatan metode Bayesian Semiparametrik.
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Each Component used in operasion process, generally has increaser the failures of machine tools. In industrial, the reliability concept is commonly applied to determine the component replacement optimally. Generally the number of the data used in reliability analysis is limited and doesn’t follow a certain distribution. Beside that, there ara many factors that influence the component reliability namely operational environment when the component is operated. To overcome the problem, Proportional Hazard Model and Semiparametric Bayesian Method can be used. Both of them can be used because they can produce tool life parameter estimation more carefully. In this research, the data used is chisel tool life, that is influenced by several factors such as speed of cut, depth of cut, and speed of feed. The thing which is looked for is optimum replacement time and proportional Hazard Model used in this research using Semiparametric Bayesian Method approach. The result of the optimum replacement time between Semiparametric Method and Semiparametric Bayesian Method is it is better of using Semiparametric Bayesian Method.

Item Type:	Thesis (Masters)
Additional Information:	RTSt 519.542 Ruf b
Uncontrolled Keywords:	Reliabilitas, Model Hazard Proporsionul, analisis Bayesian, Reliability, Proportional Hazard Model, Bayesian Analysis
Subjects:	Q Science > QA Mathematics > QA279.5 Bayesian statistical decision theory.
Divisions:	Faculty of Mathematics and Science > Statistics > 49101-(S2) Master Thesis
Depositing User:	magang .
Date Deposited:	01 Oct 2026 03:06
Last Modified:	01 Oct 2026 03:06
URI:	http://repository.its.ac.id/id/eprint/145123

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