Prediksi Promosi Top-Up Game Pada Pola Pembeli

Authors

  • Renno Rama Putra Universitas Nusantara PGRI Kediri Indonesia
  • Rony Heri Irawan Universitas Nusantara PGRI Kediri Indonesia
  • Risa Helilintar Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/1wmdj144

Abstract

Penelitian ini bertujuan untuk mengatasi ketidaktepatan strategi promosi pada platform top-up game Rennstore, yang selama ini dilakukan secara konvensional tanpa analisis data historis. Untuk itu, dikembangkan sistem prediksi waktu ideal promosi menggunakan algoritma Random Forest yang menganalisis pola transaksi pengguna. Data transaksi diproses melalui tahapan pembersihan dan transformasi waktu, kemudian dimodelkan untuk memprediksi hari dan jam optimal promosi. Evaluasi sistem dilakukan menggunakan metrik akurasi dan F1-Score. Hasil pengujian menunjukkan akurasi sebesar 76% dan F1-Score sebesar 74%, serta memperoleh tanggapan positif dari pengguna melalui kuisioner. Sistem ini dinilai efektif dan mampu memberikan rekomendasi waktu promosi yang tepat sasaran.

Keywords:

algoritma, prediksi promosi, Random Forest, top-up game

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Published

2025-07-10

Issue

Vol. 9 No. 3 (2025): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2025

Section

Articles

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Copyright (c) 2025 Renno Rama Putra, Rony Heri Irawan, Risa Helilintar

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How to Cite

Prediksi Promosi Top-Up Game Pada Pola Pembeli. (2025). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 9(3), 2066-2073. https://doi.org/10.29407/1wmdj144