20230925
18064800
1.0
FALSE
CalculateField TREND_PENDUDUK_2010_2018 2010 13655 VB #
CalculateField TREND_PENDUDUK_2010_2018 DISTRICT "LEDANG" VB #
Dissolve TREND_PENDUDUK_2010_2018 S:\PROJECT2019\GIS_W_2019_RFN4\MY_GIS_RFN4\01_PENTADBIRAN\BASEMAP\MY_STATE.shp NEGERI # MULTI_PART DISSOLVE_LINES
CalculateField MY_STATE WILAYAH "WILAYAH TIMUR" VB #
CalculateField MY_STATE WILAYAH "WILAYAH SELATAN" VB #
CalculateField MY_STATE WILAYAH "WILAYAH TENGAH" VB #
CalculateField MY_STATE WILAYAH "WILAYAH UTARA" VB #
CalculateField MY_STATE WILAYAH "WILAYAH SABAH" VB #
CalculateField MY_STATE WILAYAH "WILAYAH SARAWAK" VB #
Dissolve MY_STATE S:\PROJECT2019\GIS_W_2019_RFN4\MY_GIS_RFN4\DATA_FOR_KARTO\MY_WILAYAH_RWB.shp WILAYAH # MULTI_PART DISSOLVE_LINES
Project WILAYAH C:\Users\HQL\Documents\ArcGIS\Default.gdb\WILAYAH_1 GEOGCS['GCS_GDM_2000',DATUM['D_GDM_2000',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] 'Kertau_To_WGS_1984 + MRT48-GDM2000' GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
ExportFeatures WILAYAH "C:\Users\admin\Documents\ArcGIS\Projects\Sempadan Wilayah\Sempadan Wilayah.gdb\WILAYAH_IKP" # NOT_USE_ALIAS "OBJECTID "OBJECTID" true true false 10 Long 0 10,First,#,WILAYAH,OBJECTID,-1,-1;WILAYAH "WILAYAH" true true false 30 Text 0 0,First,#,WILAYAH,WILAYAH,0,30;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,WILAYAH,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,WILAYAH,Shape_Area,-1,-1" #
AddFields WILAYAH_IKP "Keluasan DOUBLE Luas_km2 # # #;Penduduk SHORT Penduduk # # #;Densiti LONG Densiti_Penduduk # # #;Migrasi_Bersih LONG 'Migrasi Bersih 2016-2018' # # #;KPPT DOUBLE 'KPPT 2010-2018' # # #" #
DeleteField WILAYAH_IKP Penduduk "Delete Fields"
DeleteField WILAYAH_IKP Keluasan "Delete Fields"
DeleteField WILAYAH_IKP Densiti "Delete Fields"
DeleteField WILAYAH_IKP Migrasi_Bersih "Delete Fields"
DeleteField WILAYAH_IKP KPPT "Delete Fields"
AddFields WILAYAH_IKP "Keluasan DOUBLE Luas_km2 # # #;Densiti LONG Densiti_Penduduk # # #;Migrasi_Bersih LONG 'Migrasi Bersih 2016-2018' # # #;KPPT DOUBLE 'KPPT 2010-2018' # # #;Penduduk LONG Penduduk # # #" #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\ADMIN 10\Desktop\Sempadan Wilayah.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>WILAYAH_IKP</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Kod_Wilayah</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
Project WILAYAH_IKP "C:\Users\ADMIN 10\Desktop\Publishing\10.29.57.215(1).sde\muo_db.DBO.IKP\muo_db.DBO.Sempadan_IKP2" PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] # GEOGCS["GCS_GDM_2000",DATUM["D_GDM_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
WILAYAH_IKP
002
0.000
Server=10.29.57.215; Service=sde:sqlserver:10.29.57.215; Database=muo_db; User=sa; Version=dbo.DEFAULT
ArcSDE Connection
Geographic
GCS_GDM_2000
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>GEOGCS["GCS_GDM_2000",DATUM["D_GDM_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4742]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4742</WKID><LatestWKID>4742</LatestWKID></GeographicCoordinateSystem>
20230427
14371100
20230427
14371100
Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.0.3.36057
Sempadan IKP
File Geodatabase Feature Class
0.000
dataset
EPSG
6.14(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
WILAYAH_IKP
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID
OBJECTID
Integer
4
0
0
WILAYAH
WILAYAH
String
30
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20230427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