Analisa pemprosessan balok timah berdasarkan ketersediaan bahan baku dengan memperhitungkan resiko menggunakan multiple regression dan simulasi monte carlo = Analysis of tin ingot process based on raw material availability by calculating risk using multiple regression and monte carlo simulation technique
| Main Authors: | Rachmat Zamzani, author, Add author: Sri Bintang Pamungkas, 1945-, supervisor, Add author: Farizal, supervisor, Add author: Teuku Yuri M. Zagloel, examiner, Add author: Amar Rachman, examiner |
|---|---|
| Format: | Masters Doctoral |
| Terbitan: |
Fakultas Teknik Universitas Indonesia
, 2009
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| Subjects: | |
| Online Access: |
https://lib.ui.ac.id/detail?id=130189 |
| ctrlnum |
130189 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><type>Thesis:Masters</type><title>Analisa pemprosessan balok timah berdasarkan ketersediaan bahan baku dengan memperhitungkan resiko menggunakan multiple regression dan simulasi monte carlo = Analysis of tin ingot process based on raw material availability by calculating risk using multiple regression and monte carlo simulation technique</title><creator>Rachmat Zamzani, author</creator><creator>Add author: Sri Bintang Pamungkas, 1945-, supervisor</creator><creator>Add author: Farizal, supervisor</creator><creator>Add author: Teuku Yuri M. Zagloel, examiner</creator><creator>Add author: Amar Rachman, examiner</creator><publisher>Fakultas Teknik Universitas Indonesia</publisher><date>2009</date><subject>Tin -- Metallurgy</subject><description><b>ABSTRAK</b><br>
Proses produksi logam timah merupakan rangkaian dari beberapa tahap proses seperti penambangan, penyimpanan material, peleburan dan pemurnian yang menghasilkan balok timah. Setiap proses mempunyai variabel-variabel yang sangat mempengaruhi produksi logam timah. Data historis menunjukkan penggunaan bahan-bahan pada setiap tahap proses produksi logam timah bervariasi dan acak. Multiple regression digunakan untuk menghubungkan keterkaitan antara variabel-variabel independen dan variabel-variabel dependen yang merupakan variabel-variabel acak yang resiko. Formula yang dihasilkan oleh multiple regression menjadi dasar untuk membangun model regresi. Teknik Monte Carlo digunakan untuk melakukan simulasi dari model regresi dan menghasilkan nilai-nilai ramalan. Prediksi atau peramalan ini dijadikan dasar dalam analisa proses produksi yang rentan terhadap resiko kegagalan. Analisa resiko terhadap prediksi di masa yang akan datang tersebut diharapkan mampu mengurangi dampak dari resiko.
<hr>
<i><b>ABSTRACT</b><br>
Production process of tin metal is series of some states of processes like mining, storage, melting, and refining to produce tin ingot. Every state of process has variables which are very influencing the production of tin ingot. Historical data shows the use of materials in each production process of tin ingot is varies and random. Multiple regression is used to the correlationship of the between independent variables and dependent variables which are randomly risk variables. The formulas that produced by the multiple regression become basis for developing regression model. Monte Carlo technique is used for simulating the regression model to produce forecast values. The prediction or forecasting values risk used to analyse the production process failure to risk. The risk analyses future prediction is to lower the risk.</i></description><identifier>https://lib.ui.ac.id/detail?id=130189</identifier><recordID>130189</recordID></dc>
|
| format |
Thesis:Masters Thesis Thesis:Doctoral |
| author |
Rachmat Zamzani, author Add author: Sri Bintang Pamungkas, 1945-, supervisor Add author: Farizal, supervisor Add author: Teuku Yuri M. Zagloel, examiner Add author: Amar Rachman, examiner |
| title |
Analisa pemprosessan balok timah berdasarkan ketersediaan bahan baku dengan memperhitungkan resiko menggunakan multiple regression dan simulasi monte carlo = Analysis of tin ingot process based on raw material availability by calculating risk using multiple regression and monte carlo simulation technique |
| publisher |
Fakultas Teknik Universitas Indonesia |
| publishDate |
2009 |
| topic |
Tin -- Metallurgy |
| url |
https://lib.ui.ac.id/detail?id=130189 |
| contents |
<b>ABSTRAK</b><br>
Proses produksi logam timah merupakan rangkaian dari beberapa tahap proses seperti penambangan, penyimpanan material, peleburan dan pemurnian yang menghasilkan balok timah. Setiap proses mempunyai variabel-variabel yang sangat mempengaruhi produksi logam timah. Data historis menunjukkan penggunaan bahan-bahan pada setiap tahap proses produksi logam timah bervariasi dan acak. Multiple regression digunakan untuk menghubungkan keterkaitan antara variabel-variabel independen dan variabel-variabel dependen yang merupakan variabel-variabel acak yang resiko. Formula yang dihasilkan oleh multiple regression menjadi dasar untuk membangun model regresi. Teknik Monte Carlo digunakan untuk melakukan simulasi dari model regresi dan menghasilkan nilai-nilai ramalan. Prediksi atau peramalan ini dijadikan dasar dalam analisa proses produksi yang rentan terhadap resiko kegagalan. Analisa resiko terhadap prediksi di masa yang akan datang tersebut diharapkan mampu mengurangi dampak dari resiko.
<hr>
<i><b>ABSTRACT</b><br>
Production process of tin metal is series of some states of processes like mining, storage, melting, and refining to produce tin ingot. Every state of process has variables which are very influencing the production of tin ingot. Historical data shows the use of materials in each production process of tin ingot is varies and random. Multiple regression is used to the correlationship of the between independent variables and dependent variables which are randomly risk variables. The formulas that produced by the multiple regression become basis for developing regression model. Monte Carlo technique is used for simulating the regression model to produce forecast values. The prediction or forecasting values risk used to analyse the production process failure to risk. The risk analyses future prediction is to lower the risk.</i> |
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