Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal FORUM STATISTIKA DAN KOMPUTASI
. . Aunuddin
FMIPA IPB
Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
OPTIMASI PENENTUAN LOKASI STASIUN PEMANTAU KUALITAS UDARA AMBIEN DI KOTA SURABAYA Anik . Djuraidah; . . Aunuddin
FORUM STATISTIKA DAN KOMPUTASI Vol. 11 No. 2 (2006)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.914 KB)

Abstract

The ambient air quality monitoring system in Surabaya has five fixed monitoring stations. Monitoring provides important information for public, but is expensive to purchase, utilize, and maintain. Based on result from spatial prediction of spatio-temporal additive model for air pollutant PM10, it is necessary  to move the  existing monitoring stations at other locations. In this study, we develop a methodology for reallocation of existing monitoring network to find an optimal configuration. The result of reallocation shows that new location of monitoring network can increase the accuracy of spatial prediction,  especially at area with high concentration of PM10   Key words::  spatio-temporal data, spatio-temporal additive model, spatial prediction,  reallocation monitoring network
KAJIAN RESPONS PEUBAH TERHADAP BERBAGAI GUNCANGAN DALAM SISTEM PEMBENTUK PDB TANAMAN BAHAN MAKANAN MELALUI MODEL VECTOR AUTOREGRESSION Anna Astrid Susanti; . . Aunuddin
FORUM STATISTIKA DAN KOMPUTASI Vol. 11 No. 2 (2006)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.21 KB)

Abstract

It has been known that Gross Domestic Product (GDP) is one of the tools which can be used to measure the agriculture sector's performance. Since the agriculture's GDP is influenced by food crops' GDP, the measurement of agriculture's GDP is based on production value of the prior commodities of food crops such as rice and corn. Production is influenced by harvested area, yield, producer's price of commodities, and price of input factors such as fertilizers and pesticides. Vector Autoregression (VAR) model is one of the multivariate model that used to examine the relationship among variables which affect food crop's GDP. VAR can also be used for giving information about behavior of the variables in response to the various shocks.   The objective of the study is to examine the response of a variable to the various shocks of the other variables by using response impulse function of VAR model. The study shows that harvested area significantly affects food crops' GDP on all term, but commodity prices and input factors prices just affect on short term. The results also show that inflations in agriculture sector will increase farmer's income and production effectively but the inflations are affected by input factor prices.   Key words:: Food Crops' GDP, Vector Autoregression, Response  Impulse Function
Co-Authors Anik Djuraidah Anna Astrid Susanti