Vieri, Christ (2024) Analisis pola preferensi pengguna platform steam terhadap jenis game menggunakan algoritma apriori untuk pemodelan pola pengguna. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Video game telah menjadi salah satu bentuk hiburan yang sangat populer,
terutama di negara-negara maju. Penelitian ini bertujuan untuk memahami pola
preferensi pengguna di platform distribusi game digital terbesar, Steam, dengan
menggunakan teknik data mining, khususnya teknik association rule. Algoritma
Apriori dipilih karena efektivitasnya dalam menemukan pola asosiasi antara
berbagai jenis game yang dimainkan oleh pengguna. Data dikumpulkan melalui
kuesioner yang disebarkan kepada pengguna Steam di komunitas Indonesia dari
Agustus hingga Oktober 2024. Hasil penelitian menunjukkan bahwa pengguna
yang memainkan game Action cenderung juga memainkan game RPG, dengan nilai
support 0,7103, confidence 0,7755, dan lift 1,0372. Selain itu, pengguna berusia 25-
34 tahun yang memainkan game Action juga cenderung memainkan game
Adventure, dengan nilai support 0,5636, confidence 0,6078, dan lift 1,0447.
Temuan lain menunjukkan bahwa frekuensi bermain berpengaruh terhadap
kepuasan pengguna. Pengguna yang bermain kurang dari 5 jam melaporkan tingkat
kepuasan sebesar 94,55%, sementara pengguna yang bermain lebih dari 20 jam
mencapai 99,26%. Hasil ini menekankan pentingnya memahami preferensi
pengguna untuk merancang strategi pemasaran yang lebih efektif di platform
Steam, sehingga pengembang dapat memenuhi kebutuhan dan harapan pengguna dengan lebih baik./Video games have become one of the most popular forms of entertainment,
especially in developed countries. This study aims to understand user preference
patterns on the largest digital game distribution platform, Steam, using data mining
techniques, specifically association rule techniques. The Apriori algorithm was
chosen for its effectiveness in discovering association patterns among various types
of games played by users. Data was collected through a questionnaire distributed
to Steam users in the Indonesian community from August to October 2024. The
results indicate that users who play Action games tend to also play RPGs, with a
support value of 0.7103, confidence of 0.7755, and lift of 1.0372. Additionally, users
aged 25-34 who play Action games are also likely to play Adventure games, with a
support value of 0.5636, confidence of 0.6078, and lift of 1.0447. Another finding
shows that playing frequency affects user satisfaction. Users who play less than 5
hours reported a satisfaction level of 94.55%, while those who play more than 20
hours reached 99.26%. These results emphasize the importance of understanding
user preferences to design more effective marketing strategies on the Steam
platform, allowing developers to better meet the needs and expectations of users.
Item Type: | Thesis (Bachelor) |
---|---|
Creators: | Creators NIM Email ORCID Vieri, Christ NIM03082210030 christvieri03@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Belferik, Ronald NIDN0105048702 ronald.belferik@uph.edu |
Uncontrolled Keywords: | Analisis preferensi; platform steam; jenis game; algoritma apriori. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | University Subject > Current > Faculty/School - UPH Medan > School of Information Science and Technology > Informatics Current > Faculty/School - UPH Medan > School of Information Science and Technology > Informatics |
Depositing User: | Christ Vieri |
Date Deposited: | 25 Apr 2025 01:34 |
Last Modified: | 25 Apr 2025 01:34 |
URI: | http://repository.uph.edu/id/eprint/68196 |