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All Journal Agrotekno Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
K. Abdullah
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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KOEFISIEN PINDAH PANAS KESELURUHAN ALAT PENUKAR PANAS DALAM PENDINGINAN NOKTURNAL Gunadnya, I.B.P.; Abdullah, K.; Tambunan, A.H.; Purwanto, Y.A.; Oktaufik, M.A.M.
Agrotekno Vol. 14, No.2 Agustus 2008
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.618 KB)

Abstract

A series of field experiments have been conducted to estimate values of thermal parameters of a heat exchanger, such as overall heat transfer coefficient (U), number of transfer units (NTU), and effectiveness (?), in a nocturnal cooling system. Accumulated experimental data showed that these parameters are proportional to the logarithmic relation to mass flow rate of water flowing into the heat exchanger. Empirical correlation developed for this purpose indicated that correlation coefficient of U was 0.76. the correlation function developed for cross-flow is applicable to predict outlet air temperature with an average error of 0.10C.
LAND COVER FRACTIONS MAPPING USING MODIS IMAGERY OVER NANGGROE ACEH DARUSSALAM (NAD) PROVINCE, INDONESIA Subakti, M.S.; Lim, H.S.; Matjafri , M.Z.; Abdullah, K.
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 4 No. 1 (2007)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v4i1.3196

Abstract

Land cover analysis plays an important role in many environmental applications nowadays. The objective of this study is to assess the capability if Moderate Resolution Imaging Spectroradiometer (MODIS) scene for land cover mapping over Nanggroe Aceh Darussalam (NAD) provonce, Indonesia. Standard supervised classification techniques were used in this study namely maximum likelihood, minimum distance-to-mean, parallelepiped and parallelepiped (with Maximum Likelihood Tie Resolution) by using PCI Geomatica 9.1 image processing software. The accuracy of each classification map was assessed using the reference data set consistend of a large number of samples collected per category. The result from this multispectral classification analysis of this study area indicated that urban features could be cleanly identified and classified relative to the surrounding terrain and its associated desert features. In this study, Kappa statistic and overall accuracy were calculated and compared for the three supervised classification technoques. Geometric correction was performed for the digital image using the nearest neighborhood method with second order polynomial. This indicates that land features can be carried out using remote sensing classification method of the MODIS imagery.
Co-Authors A.H. Tambunan Ida Bagus Putu Gunadnya Lim, H.S. M.A.M. Oktaufik Matjafri , M.Z. Subakti, M.S. Y.A. Purwanto