<mets:mets OBJID="eprint_78756" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-10-21T17:19:39Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>Institutional Repository UIN Sunan Kalijaga Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_78756_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>ANALISIS KESESUAIAN LAHAN PEMBANGKIT LISTRIK TENAGA SURYA (PLTS) DI INDONESIA MENGGUNAKAN PERBANDINGAN METODE AHP-TOPSIS DAN ENTROPY-WEIGHTED TOPSIS SERTA EVALUASI VARIABILITAS TEMPORAL RADIASI SURYA PADA LOKASI PRIORITAS</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">NIM.: 22106060038</mods:namePart><mods:namePart type="family">Muhammad Solihin</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Indonesia has substantial solar energy potential, yet its utilization remains&#13;
relatively low. To support the Net Zero Emission (NZE) 2060 target, the&#13;
government aims to add 17.1 GW of Solar Power Plant (SPP) capacity under the&#13;
2025–2034 Electricity Supply Business Plan (RUPTL). This study aims to compare&#13;
the AHP-TOPSIS and EWM-TOPSIS methods for identifying priority locations for&#13;
utility-scale SPPs, evaluate the temporal reliability of solar resources using the&#13;
Stochastic Coefficient of Variation (sCV) and Forecastability (F), and assess their&#13;
contribution to the 2025–2034 RUPTL and NZE 2060 targets. Land suitability&#13;
analysis was conducted using eight criteria across 427,631 grid points that passed&#13;
the exclusion process, while temporal analysis used daily Global Horizontal&#13;
Irradiance (GHI) data from NASA POWER for 2016–2025 at six priority locations.&#13;
The results show that AHP assigned the highest weight to GHI at 27.20%, whereas&#13;
EWM was dominated by the Distance to Airport criterion at 46.31%. The two&#13;
methods showed a strong ranking correlation, with ρ = 0.860 and p &lt; 0.001. The&#13;
highest-ranked priority location was Pancang, Nunukan Regency, North&#13;
Kalimantan, with a Ci value of 0.7643 and a first-place national ranking. Oepuah&#13;
Utara, North Central Timor Regency, East Nusa Tenggara, demonstrated the&#13;
highest temporal reliability, with an sCV of 0.498 and Forecastability of 0.959. The&#13;
potential SPP capacity on Highly Suitable (S1) land reached 3,166.9 GW,&#13;
substantially exceeding the 17.1 GW target. The integration of AHP-TOPSIS,&#13;
EWM-TOPSIS, sCV, and Forecastability provides a comprehensive framework for&#13;
utility-scale SPP site evaluation in Indonesia.</mods:abstract><mods:classification authority="lcc">670 Teknik Industri</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-07-23</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>UIN SUNAN KALIJAGA YOGYAKARTA;FAKULTAS SAINS DAN TEKNOLOGI</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_78756"><mets:rightsMD ID="rights_eprint_78756_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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