Hasil penelitian ini menunjukkan ba

Hasil penelitian ini menunjukkan bahwa metode Dynamic Bayesian Network dapat diterapkan untuk mengidentifikasi keterkaitan antar variabel dan memprediksi kondisi perkerasan jalan pada tahun mendatang dengan tingkat kesalahan sebesar 12% dan tingkat keakuratan model prediksi sebesar 88 %.

Hasil (Inggris) 1:

The results of this study indicate that Dynamic Bayesian Network method can be applied to identify the linkages between variables and predicting road roughness conditions in the coming year with an error rate of 12% and the level of accuracy of the model predictions of 88%.

Hasil (Inggris) 2:

The results showed that the method of Dynamic Bayesian Networks can be applied to identify the relationship between variables and predict the condition of pavement in the coming year with an error rate of 12% and the accuracy of the prediction model by 88%.