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Vol. 3 No. 1 (2026) • Articles
Open Access

Klasifikasi Kompleksitas Gameplay Berbasis Struktur Kalimat pada Deskripsi Game

Abdul Raihan
Universitas Lancang Kuning
Mhd Arief Hasan
Universitas Lancang Kuning
M Fadilah Azhim
Universitas Lancang Kuning
Ilham Fadilah
Universitas Lancang Kuning
Published: March 28, 2026 Pages: 11-21
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Abstract

Game descriptions on digital distribution platforms play a crucial role in conveying the characteristics of gameplay to players. However, the language complexity of these descriptions varies and may influence players' understanding of the gameplay being offered. This study aims to classify gameplay complexity based on sentence structure in game descriptions using a Natural Language Processing (NLP) approach. The dataset used is the 10k Most Popular Gaming 2025 dataset obtained from Kaggle, with a focus on the game description column. The description data is grouped into three complexity classes: simple, medium, and complex, based on the linguistic characteristics of the text. The research process includes text preprocessing, sentence-structure-based linguistic feature extraction, and data balancing using the balance rank method. Classification is performed using the Logistic Regression, Random Forest Classifier, and Support Vector Machine algorithms. Evaluation results show that the Random Forest Classifier achieves the highest accuracy of 0.85, while Logistic Regression and Support Vector Machine obtain accuracies of 0.81 each. Feature analysis reveals that word count and average sentence length are the most influential features in determining gameplay complexity. Visualization using Principal Component Analysis shows a clear distribution pattern of complexity classes, although some overlap between classes remains. The results of this study demonstrate that sentence-structure-based linguistic analysis is effective in representing gameplay complexity in game descriptions.

Keywords:
Game Descriptions Gameplay Complexity Natural Language Processing Text Classification
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Author Biographies
Abdul Raihan Universitas Lancang Kuning

Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Lancang Kuning, Kota Pekanbaru, Provinsi Riau, Indonesia.

Mhd Arief Hasan Universitas Lancang Kuning

Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Lancang Kuning, Kota Pekanbaru, Provinsi Riau, Indonesia.

M Fadilah Azhim Universitas Lancang Kuning

Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Lancang Kuning, Kota Pekanbaru, Provinsi Riau, Indonesia.

Ilham Fadilah Universitas Lancang Kuning

Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Lancang Kuning, Kota Pekanbaru, Provinsi Riau, Indonesia.

How to Cite
Raihan, A., Hasan, M. A., Azhim, M. F., & Fadilah, I. (2026). Klasifikasi Kompleksitas Gameplay Berbasis Struktur Kalimat pada Deskripsi Game. Jurnal Ilmu Komputer Dan Teknologi Informasi, 3(1), 11-21. https://doi.org/10.63447/jikti.v3i1.1824
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