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CPS2036 Mahdir B. et al.

                           Identifying survey location using GIS: A case
                        study on Malaysia employment survey in oil palm
                                         plantations, 2018
                         Mahdir Bahar, Adrian Austin Spiji, Norhayati Jantan
                                     Department of Statistics Malaysia

            Abstract
            Malaysia  Employment  Survey  in  Oil  Palm  Plantations,  2018  covered  both
            workers in plantations and smallholdings. Samples were selected through the
            list  of  plantations  and  smallholdings  provided  by  the  Ministry  of  Primary
            Industries.  Due  to  the  classification  of  the  household  frame  in  Malaysia
            Statistical  Household  Register  (MSAR)  which  use  enumeration  blocks  (EBs)
            rather than locality, information such as the names of the selected plantations
            and  smallholdings  were  either  in  duplication  or  unavailable.  This  paper
            elaborates the role of Geographical Information System (GIS) in identifying the
            survey location to enable the sample of workers in oil palm plantations or
            smallholdings to be drawn.

            Keywords
            Enumeration Block; Plantations; Smallholdings; Land Title Registration

            1.  Introduction
                MSAR  is  a  database  used  as  a  sampling  frame  for  household  surveys
            conducted  by  the  Department  of  Statistics,  Malaysia.  It  comprised  of
            information on the living quarters by EBs. Each EB on average contains 80 to
            120 living quarters. In most household surveys, samples were drawn by two
            stage stratified sampling in which the first stage was the EBs. For each selected
            EB, the samples of living quarters (LQs) will be selected using the systematic
            sampling.  However,  for  the  Malaysia  Employment  Survey  in  Oil  Palm
            Plantation, 2018, the statistical unit for the survey were oil palm plantation
            workers and not targeting the households. Due to duplication and availability
            issue, other methods were being considered in identifying the location of the
            selected plantations and smallholdings in order for the enumerators to carry
            out the survey. The samples of workers in this sector can only be selected after
            the locations are identified.
                In this survey, EBs are divided into two categories for plantations which are
            Main EBs (MEB) and Paired EBs (PEB). First, GIS will locate the MEB and all
            adjacent EBs will be identified as PEB. This PEBs are required in this survey with
            the assumption that the plantation workers are residing in the living quarters
            within the same EB or neighbouring EBs. However, for sample of smallholders
            only EBs contained the smallholdings will be identified.


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