EMAIL: PASSWORD:
Front Office
UPT. PERPUSTAKAAN
Institut Teknologi Sepuluh Nopember Surabaya


Kampus ITS Sukolilo - Surabaya 60111

Phone : 031-5921733 , 5923623
Fax : 031-5937774
E-mail : libits@its.ac.id
Website : http://library.its.ac.id

Support (Customer Service) :
timit_perpus@its.ac.id




Welcome..guys!

Have a problem with your access?
Please, contact our technical support below:
LIVE SUPPORT


Moh. Fandika Aqsa


Davi Wahyuni


Tondo Indra Nyata


Anis Wulandari


Ansi Aflacha




ITS » Non Degree » Statistika - D3
Posted by tondoindra@gmail.com at 08/12/2015 09:04:20  •  948 Views


ANALISIS KELOMPOK DAN PEMODELAN REGRESI PANEL TERHADAP KARAKTERISTIK PABRIK GULA DI PULAU JAWA

CLUSTER ANALYSIS AND PANEL REGRESSION MODELLING OF CHARACTERISTIC SUGAR COMPANY IN JAVA ISLAND

Author :
NURINDAH, ANISA ( 1311030094 )




ABSTRAK

Tanaman Tebu adalah bahan baku utama pembuatan gula dalam proses produksinya yang dikelola Pabrik Gula. Penelitian ini bertujuan untuk melakukan pengelompokan karakteristik pabrik gula di Pulau Jawa dan regresi data panel untuk mengetahui estimasi yang baik terhadap asumsi pada regresi data panel. Pengelompokkan karakteristik pabrik gula ditentukan berdasarkan karakteristik pabrik gula dengan kriteria baik sedang dan buruk. Analisis pemodelan regresi panel yang menggabungkan data cross sectional dan data time series harus memenuhi beberapa asumsi untuk penelitian kali ini asumsi dibatasi sampai koefisien slope konstan tetapi intersep bervariasi antar individu. Penelitian ini menyimpulkan bahwa Provinsi Jawa Timur merupakan pusat pabrik gula di Pulau Jawa sedangkan analisis cluster didapatkan tiga kelompok pabrik gula berdasarkan karakteristik yang tinggi sedang dan rendah


ABSTRACT

Sugarcane crop is the main raw material of sugar manufacture the production process is managed by Sugar Factory. This study aims to perform the grouping characteristics of sugar factories in Java and panel data regression to find a good estimate of the assumptions on panel data regression. Grouping characteristics are determined by the characteristics of the sugar factory with the criteria of high medium and low. Panel regression modeling analysis that combines a cross-sectional and time series data must meet several assumptions for the present study is limited to the assumption of a constant slope coefficients but the intercept varies between individuals. This study concludes that the East Java province is the center of the sugar mills in Java while the cluster analysis it was found three groups based on the characteristics of the sugar mills of high medium and low



Keywordsanalisis kelompok, regresi panel, variabel dummy, pabrik gula.
 
Subject:  Abalisis Regresi
Contributor
  1. Dr. Suhartono, M.Sc.
Date Create: 08/12/2015
Type: Text
Format: PDF
Language: Indonesian
Identifier: ITS-NonDegree-13102150001279
Collection ID: 13102150001279
Call Number: RSSt 519.536 Nur a


Source
Non Degree of Statistics, RSSt 519.536 Nur a, 2015

Coverage
ITS Community

Rights
Copyright @2015 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-NonDegree-39930-1311030094-abstract_id.pdf - 88 KB
  2.  ITS-NonDegree-39930-1311030094-abstract_eng.pdf - 88 KB
  3.  ITS-NonDegree-39930-1311030094-conclusion.pdf - 131 KB




 Similar Document...

     No similar subject found !


! ATTENTION !

To facilitate the activation process, please fill out the member application form correctly and completely

Registration activation of our members will process up to max 24 hours (confirm by email). Please wait patiently

POLLING

Bagaimana pendapat Anda tentang layanan repository kami ?

Bagus Sekali
Baik
Biasa
Jelek
Mengecewakan





You are connected from 54.225.16.10
using CCBot/2.0 (http://commoncrawl.org/faq/)



Copyright © ITS Library 2006 - 2017 - All rights reserved.
Dublin Core Metadata Initiative and OpenArchives Compatible
Developed by Hassan