Model Penduga Produksi Kopal

The objective of this study was to find out the prediction model  for copal production (Y) by  the use of prediction variables. The variables were diameter (X1), bark thicknesses (X2), stand density (X3), slope (X4), and direction of the slope (X5). The study was conducted at Senduro Forest District...

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Main Authors: Wien Setya Budhi Irawan, Endang Suhendang, Juang Rata Matangaran
Format: Article
Language:English
Published: Bogor Agricultural University 2011-01-01
Series:Jurnal Manajemen Hutan Tropika
Online Access:https://journal.ipb.ac.id/index.php/jmht/article/view/4004
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author Wien Setya Budhi Irawan
Endang Suhendang
Juang Rata Matangaran
author_facet Wien Setya Budhi Irawan
Endang Suhendang
Juang Rata Matangaran
author_sort Wien Setya Budhi Irawan
collection DOAJ
description The objective of this study was to find out the prediction model  for copal production (Y) by  the use of prediction variables. The variables were diameter (X1), bark thicknesses (X2), stand density (X3), slope (X4), and direction of the slope (X5). The study was conducted at Senduro Forest District, Probolinggo Forest Management Unit of Perum Perhutani, Unit II East Java. Data was collected from 80 sample trees of Agathis loranthifolia Salibs which were tapped on August 2006.  The  result of the study showed that there were several  regression prediction models  for  copal production:  doubled linear, multiplicative, exponential and quadratic regression models. Multiplicative regression model with the highest  R2-adj  value was  then chosen  as the best prediction model  for  copal production.  Thereby, production estimation model of copal production of Agathis loranthifolia Salis. was  LogY = 0.397 + 1.54 LogX1 + 0.496 LogX2  -  0.528 LogX3 + 0.201 LogX4  ; or Y = 2.4945X11.54X20.496X3-0.528X40.201; R-Sq =84.7%, R-Sq(Adj) = 83.7%.   Keywords:  multiplicative regression model, copal, diameter, bark thickness, stand density, slope
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spelling doaj.art-59e35e5dd2a74319b67f15f5e2df55292022-12-22T03:58:59ZengBogor Agricultural UniversityJurnal Manajemen Hutan Tropika2087-04692089-20632011-01-01133Model Penduga Produksi KopalWien Setya Budhi IrawanEndang SuhendangJuang Rata MatangaranThe objective of this study was to find out the prediction model  for copal production (Y) by  the use of prediction variables. The variables were diameter (X1), bark thicknesses (X2), stand density (X3), slope (X4), and direction of the slope (X5). The study was conducted at Senduro Forest District, Probolinggo Forest Management Unit of Perum Perhutani, Unit II East Java. Data was collected from 80 sample trees of Agathis loranthifolia Salibs which were tapped on August 2006.  The  result of the study showed that there were several  regression prediction models  for  copal production:  doubled linear, multiplicative, exponential and quadratic regression models. Multiplicative regression model with the highest  R2-adj  value was  then chosen  as the best prediction model  for  copal production.  Thereby, production estimation model of copal production of Agathis loranthifolia Salis. was  LogY = 0.397 + 1.54 LogX1 + 0.496 LogX2  -  0.528 LogX3 + 0.201 LogX4  ; or Y = 2.4945X11.54X20.496X3-0.528X40.201; R-Sq =84.7%, R-Sq(Adj) = 83.7%.   Keywords:  multiplicative regression model, copal, diameter, bark thickness, stand density, slope https://journal.ipb.ac.id/index.php/jmht/article/view/4004
spellingShingle Wien Setya Budhi Irawan
Endang Suhendang
Juang Rata Matangaran
Model Penduga Produksi Kopal
Jurnal Manajemen Hutan Tropika
title Model Penduga Produksi Kopal
title_full Model Penduga Produksi Kopal
title_fullStr Model Penduga Produksi Kopal
title_full_unstemmed Model Penduga Produksi Kopal
title_short Model Penduga Produksi Kopal
title_sort model penduga produksi kopal
url https://journal.ipb.ac.id/index.php/jmht/article/view/4004
work_keys_str_mv AT wiensetyabudhiirawan modelpendugaproduksikopal
AT endangsuhendang modelpendugaproduksikopal
AT juangratamatangaran modelpendugaproduksikopal