%0 Thesis
%9 Skripsi
%A Muhammad Solihin, NIM.: 22106060038
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2026
%F digilib:78756
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K Analytical Hierarchy Process, Entropy-Weighted Method, Kesesuaian  Lahan PLTS, Stochastic Coefficient Of Variation, Variabilitas Temporal
%P 196
%T 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
%U https://digilib.uin-suka.ac.id/id/eprint/78756/
%X Indonesia has substantial solar energy potential, yet its utilization remains  relatively low. To support the Net Zero Emission (NZE) 2060 target, the  government aims to add 17.1 GW of Solar Power Plant (SPP) capacity under the  2025–2034 Electricity Supply Business Plan (RUPTL). This study aims to compare  the AHP-TOPSIS and EWM-TOPSIS methods for identifying priority locations for  utility-scale SPPs, evaluate the temporal reliability of solar resources using the  Stochastic Coefficient of Variation (sCV) and Forecastability (F), and assess their  contribution to the 2025–2034 RUPTL and NZE 2060 targets. Land suitability  analysis was conducted using eight criteria across 427,631 grid points that passed  the exclusion process, while temporal analysis used daily Global Horizontal  Irradiance (GHI) data from NASA POWER for 2016–2025 at six priority locations.  The results show that AHP assigned the highest weight to GHI at 27.20%, whereas  EWM was dominated by the Distance to Airport criterion at 46.31%. The two  methods showed a strong ranking correlation, with ρ = 0.860 and p < 0.001. The  highest-ranked priority location was Pancang, Nunukan Regency, North  Kalimantan, with a Ci value of 0.7643 and a first-place national ranking. Oepuah  Utara, North Central Timor Regency, East Nusa Tenggara, demonstrated the  highest temporal reliability, with an sCV of 0.498 and Forecastability of 0.959. The  potential SPP capacity on Highly Suitable (S1) land reached 3,166.9 GW,  substantially exceeding the 17.1 GW target. The integration of AHP-TOPSIS,  EWM-TOPSIS, sCV, and Forecastability provides a comprehensive framework for  utility-scale SPP site evaluation in Indonesia.
%Z Ir. Titi Sari, S.T., M.Sc., IPM.