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      PERBANDINGAN KINERJA ALGORITMA GRID SEARCH DAN BAT BERBASIS LEVY FLIGHT DALAM OPTIMASI SUPPORT VECTOR REGRESSION UNTUK PREDIKSI HARGA SAHAM

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      Date
      2026
      Author
      Widiyanto, Muhammad Alief Nur
      Mangku, I Wayan
      Sartono, Bagus
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      Abstract
      Saham adalah tanda kepemilikan modal oleh individu atau badan usaha dalam sebuah perusahaan atau perseroan terbatas. Support Vector Regression (SVR) digunakan untuk memprediksi harga saham PT Mayora Indah Tbk dalam satu periode ke depan. Tujuan dari penelitian ini adalah untuk melihat pengaruh dari harga gandum dunia dan indeks harga saham IDX sektor consumer non-cyclical terhadap harga saham penutupan harian PT Mayora Indah Tbk, membandingkan kinerja algoritma Grid Search dan Bat berbasis Levy Flight dalam optimasi Support Vector Regression dan melakukan prediksi satu periode ke depan. Hasil penelitian menunjukkan model SVR yang dioptimasi dengan kedua algoritma tersebut menghasilkan kinerja yang sama baiknya. Akan tetapi, metode Grid Search terbukti sedikit lebih unggul dalam hal akurasi, menghasilkan nilai MAPE sebesar 1.7823% dan R2 sebesar 90.15% pada data uji. Prediksi untuk satu periode kedepan yaitu pada 31 Desember 2025 diperoleh Rp 2167.42/lembar.
       
      Stocks represent ownership of capital by individuals or business entities in a company or limited liability corporation. Support Vector Regression (SVR) is employed to predict the stock price of PT Mayora Indah Tbk for one period ahead. The aim of this research is to examine the influence of global wheat prices and the IDX consumer non-cyclical sector index on the daily closing stock price of PT Mayora Indah Tbk, to compare the performance of the Grid Search algorithm and the Bat algorithm based on Levy Flight in optimizing SVR, and to perform a one-step-ahead prediction. The results indicate that the SVR models optimized using both algorithms exhibit equally good performance. However, the Grid Search demonstrates slightly better accuracy, producing a Mean Absolute Percentage Error (MAPE) of 1.7823% and a coefficient of determination (R²) of 90.15% on the testing data. The predicted stock price for December 31, 2025 is estimated to be IDR 2167.42 per share.
       
      URI
      http://repository.ipb.ac.id/handle/123456789/173281
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      • UT - Mathematics [105]

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      Indonesia DSpace Group 
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