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All Journal Jurnal Ilmu Dasar Statistika Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika
Muhammad Mashuri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics

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ANALISA PENGGUNAAN LENSA SILINDER UNTUK MENGUBAH BENTUK BERKAS LASER DIODA MENJADI BENTUK GARIS Muhammad Mashuri; Minarni '; Sugianto '
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

A research on the application of cylindrical lenses to change beam shape of diode lasers from  eliptical to line shape has been conducted.  The beam characteristic of the lasers before and after using the lenses were analyzed by a calibrated photodiode and a CCD camera. The distance between CCD camera and the lenses were also varied to obtain the optimal length of the line.  The diode lasers used were  λ=830 nm Coherent diode laser with beam size 0,6 mm and 0,9 mm in x and y axis and  λ=638 nm Aixiz diode laser with beam size 1,2 mm and 1,6 mm in x and y axis were used.  Three  cylindrical lenses with three  different focal length were used whice were 50 mm, 75 mm, and 95 mm respectively.  The results showed that the maximum line lengths (L) of  λ=830 nm diode laser were 1,86 mm, 2,55 mm, and 1,39 mm respectively. For the  λ=638 nm diode laser the maximum line length (L) were 3,74 mm, 4,32 mm, and 3,87  mm respectively to the same focal length. The result also showed that the bigger λ produced the shorter line (L) than the smaller λ. For the biggest focus need the longest distance (z) to produce the longest line.
Outlier Detection in Observation at Multivariate Linear Models with Likelihood Displacement Statistic-Lagrange Method Makkulau Makkulau; Susanti Linuwih; Purhadi Purhadi; Muhammad Mashuri
Jurnal ILMU DASAR Vol 12 No 1 (2011)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

There are two different outliers, i.e outlier in observations and outlier in models. The existing outlier detection method in models is using common Likelihood method. The limitation of this method is the optimal value produced might be not the real optimal values. This research yields a method for outlier detection in multivariate linear models with Likelihood Displacement Statistic-Lagrange method (LDL method). This method uses multiplier Lagrange with constraint the confidence interval of parameter’s vector. This parameter’s vector is obtained from the data set which is outlier free. This parameter estimation process uses numerical method with Karush-Kuhn Tucker condition in nonlinear programming. This method compares between LDL value and the table F value that follows the distribution of F value to indentify the outlier in models.
MONITORING VARIABILITAS DARI PROSES SHORT DAN LONG RUN Muhammad Mashuri
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 4, No 2 (2004)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v4i2.893

Abstract

One of the problems in the quality improvement is variability monitoring, in such a way so it remains on the threshold. Themain problem in the implementation of process variability monitoring is the parameter estimation before the processproduction is run. . In the short run process or long run process on start up stage the problem is difficult to handle. Thispaper discusses an approach, which enables to do the process variability monitoring for short or long run processes,without historical data for parameter estimation. An illustration of comparison clarifies the mechanism of our discussion.
DIAGRAM KONTROL MULTIVARIAT SHORT PRODUCTION RUN UNTUK MEMANTAU MEAN DAN VARIABILITAS PROSES fathur rahman; muhammad mashuri
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 9 No 1 (2016): J Statistika: Jurnal Imiah dan Aplikasi Statistika
Publisher : Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.114 KB) | DOI: 10.36456/jstat.vol9.no1.a294

Abstract

Metode statistik proses kontrol untuk memantau proses jangka pendek (short-run) dengan mempertimbangkan pengukuran multivariat, atau metode diagram kontrol yang terbilang baru ini bisa juga disebut, diagram kontrol multivariat jangka pendek (short-run control chart) untuk memantau proses mean dan variabilitas. Untuk memantau mean proses pada diagram kontrol digunakan fungsi pengaruh mean dan matriks kovarian yang di harapkan dapat mendeteksi pergeseran kecil, dan untuk mengetahui pergeseran pada variabilitas proses maka digunakan komponen utama dan eigenvalue sebagai pengaruh fungsi. Teknik yang digunakan bersifat umum, dan pengaruh fungsi dapat digunakan untuk membangun diagram kontrol multivariat jangka pendek (short-run) baik untuk nominal vaule atau estimasi. Metode ini lebih lanjut diterapkan pada data pembuatan pipa bawah laut yang di produksi PT.KHI (Krakatau Hoogeven International) pada periode 2014. Hasil dari penelitian menujukan pergerseran variabilitas proses dan mean proses tidak dapat di deteksi dengan diagram kontrol kovensional, tetapi pergeseran mean dan variabilitas proses dapat di deteksi pada diagram kontrol yang menggunakan fungsi pengaruh mean dan matriks kovarian untuk medeteksi prorses mean, dan pengaruh fungsi komponen utama dan eigenvaluve untuk medeteksi variabilitas proses.
Co-Authors Fathur Rahman Makkulau Makkulau Minarni ' Purhadi Purhadi Sugianto ' Susanti Linuwih