Estimasi parameter availability sistem tunggal dan sistem ganda pada data keandalan

Yulianti, Yati (2016) Estimasi parameter availability sistem tunggal dan sistem ganda pada data keandalan. Diploma thesis, UIN Sunan Gunung Djati Bandung.

[img]
Preview
Text (COVER)
1_COVER.pdf

Download (224kB) | Preview
[img]
Preview
Text (ABSTRAK)
2_ABSTRAK.pdf

Download (314kB) | Preview
[img]
Preview
Text (DAFTAR ISI)
3_DAFTAR ISI.pdf

Download (29kB) | Preview
[img]
Preview
Text (BAB I)
4_BAB I.pdf

Download (418kB) | Preview
[img] Text (BAB II)
5_BAB II.pdf
Restricted to Registered users only

Download (584kB)
[img] Text (BAB III)
6_BAB III.pdf
Restricted to Registered users only

Download (394kB)
[img] Text (BAB IV)
7_BAB IV.pdf
Restricted to Registered users only

Download (526kB)
[img] Text (BAB V)
8_BAB V.pdf
Restricted to Registered users only

Download (399kB)
[img] Text (DAFTAR PUSTAKA)
9_DAFTAR PUSTAKA.pdf
Restricted to Registered users only

Download (200kB)

Abstract

INDONESIA Faktor availability adalah hal yang penting dalam menentukan sejauh mana kinerja sebuah sistem dalam mengatasi gangguan. Pada Skripsi ini dipelajari availability sistem tunggal dan sistem ganda berupa pembentukan model availability untuk distribusi Weibull, langkah-langkah estimasi parameter, model MTBF (Mean Time Between Failure), MTTR (Mean Time To Repair) dan Estimasi parameter dalam metode ini menggunakan MLE (Maximum Likelihood Estimation). Dalam Skripsi ini estimasi dilakukan hanya pada dua parameter yaitu parameter bentuk β dan skala λ. Penerapan metode pada contoh kasus data kerusakan dan perbaikan mesin untuk sistem tunggal dan sistem ganda. ENGLISH Availability factor is important in determine extent to which the performance of a system in overcome interference. In this research studied availability of a single system and multi system in the form of model building availability for a Weibull distribution, the steps of parameter estimation, model of MTBF (Mean Time Between Failure), MTTR (Mean Time To Repair) and Estimation of parameters in this method using the MLE (Maximum Likelihood Estimation). the estimation of the research is performed only on two parameters the shape parameter β and λ scale. Application of the method in the data case of failure and repair in the machine for a single system and multiple system.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Estimasi parameter; distribusi peluan; distribusi Weibull; Availability; Proses Poisson Nonhomogen; Maksimum likelihood; Newton Rapshon;
Subjects: Mathematics > Data Processing and Analysis of Mathematics
Divisions: Fakultas Sains dan Teknologi > Program Studi Matematika
Depositing User: rofita fita robi'in
Date Deposited: 11 Feb 2019 08:09
Last Modified: 11 Feb 2019 08:09
URI: https://digilib.uinsgd.ac.id/id/eprint/18685

Actions (login required)

View Item View Item