<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20200215</CreaDate>
        <CreaTime>21553300</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">Suitable</itemName>
                <imsContentType Sync="TRUE">002</imsContentType>
                <itemSize Sync="TRUE">0.000</itemSize>
            </itemProps>
            <coordRef>
                <type Sync="TRUE">Projected</type>
                <geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
                <csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
                <projcsn Sync="TRUE">WGS_1984_UTM_Zone_49S</projcsn>
                <peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/2.4.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_UTM_Zone_49S&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,10000000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,111.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]],VERTCS[&amp;quot;unknown&amp;quot;,VDATUM[&amp;quot;unknown&amp;quot;],PARAMETER[&amp;quot;Vertical_Shift&amp;quot;,0.0],PARAMETER[&amp;quot;Direction&amp;quot;,1.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;1900&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;32749&lt;/WKID&gt;&lt;LatestWKID&gt;32749&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20200209</SyncDate>
        <SyncTime>23475700</SyncTime>
        <ModDate>20200209</ModDate>
        <ModTime>23475700</ModTime>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="FALSE">Esri ArcGIS 12.4.2.19948</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="TRUE">Suitable</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <idAbs/>
        <searchKeys>
            <keyword>PV</keyword>
            <keyword>UGM</keyword>
        </searchKeys>
        <idPurp>Atap bangunan yang cocok untuk dipasang PV panel di wilayah UGM</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">Shapefile</formatName>
        </distFormat>
        <distTranOps>
            <transSize Sync="TRUE">0.000</transSize>
        </distTranOps>
    </distInfo>
    <mdHrLv>
        <ScopeCd Sync="TRUE" value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="32749"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">6.11.1(3.0.1)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="Suitable">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="002"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE">0</geoObjCnt>
            </geometObjs>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="Suitable">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="4"/>
                <esritopo Sync="TRUE">FALSE</esritopo>
                <efeacnt Sync="TRUE">0</efeacnt>
                <spindex Sync="TRUE">FALSE</spindex>
                <linrefer Sync="TRUE">FALSE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
    <eainfo>
        <detailed Name="Suitable">
            <enttyp>
                <enttypl Sync="TRUE">Suitable</enttypl>
                <enttypt Sync="TRUE">Feature Class</enttypt>
                <enttypc Sync="TRUE">0</enttypc>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">FID</attrlabl>
                <attalias Sync="TRUE">FID</attalias>
                <attrtype Sync="TRUE">OID</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Internal feature number.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape</attrlabl>
                <attalias Sync="TRUE">Shape</attalias>
                <attrtype Sync="TRUE">Geometry</attrtype>
                <attwidth Sync="TRUE">0</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Feature geometry.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Coordinates defining the features.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Id</attrlabl>
                <attalias Sync="TRUE">Id</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">10</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">NAMA_GDG</attrlabl>
                <attalias Sync="TRUE">NAMA_GDG</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">254</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">WILAYAH</attrlabl>
                <attalias Sync="TRUE">WILAYAH</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">254</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">OBJECTID</attrlabl>
                <attalias Sync="TRUE">OBJECTID</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">10</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">FID_</attrlabl>
                <attalias Sync="TRUE">FID_</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">10</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">COUNT</attrlabl>
                <attalias Sync="TRUE">COUNT</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">10</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">AREA</attrlabl>
                <attalias Sync="TRUE">AREA</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">MEAN</attrlabl>
                <attalias Sync="TRUE">MEAN</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Leng</attrlabl>
                <attalias Sync="TRUE">Shape_Leng</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Area</attrlabl>
                <attalias Sync="TRUE">Shape_Area</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Usable_SR_</attrlabl>
                <attalias Sync="TRUE">Usable_SR_</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Elec_Prod</attrlabl>
                <attalias Sync="TRUE">Elec_Prod</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20200209</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=
</Data>
        </Thumbnail>
    </Binary>
</metadata>