Prediksi Partisipasi Jemaat dalam Ibadah Penutupan Tahun 2025 Menggunakan Metode Regresi Linier Sederhana (Studi Kasus di Jemaat Efrata)

Andini Aulia Asriadi
Chyntia Anggun Anggraini
Findy Indah Puspita
H. Juan Rayna
Micguel Arter Imbiri

Sci-Tech Journal
Vol. 4 No. 2 (2025): Sci-Tech Journal

This study uses the Simple Linear Regression method to evaluate and predict participation in the 2025 year-end worship service of the Efrata Wosi Congregation in Manokwari, West Papua. Attendance data from the past five years is used as the basis for analysis, in which the main potentially influential variables are examined. The author will discuss the application of the linear regression method in this study. Linear regression is used to trace patterns in the relationship between a dependent variable and two or more independent variables. The simple linear regression model generates measurable predictions that are useful for planning. This study produced the following scores: Mean Absolute Error (MAE), 0.54%; Mean Squared Error (MSE), 0.36%; Root Mean Squared Error (RMSE), 0.60%; and R² score, 0.95%. The predicted participation of the Efrata Wosi congregation in the closing worship service in 2025 is 18,334, which is an increase from the previous year. These results are expected to guide church leaders in optimizing their preparations and strategies to enhance participation.