Okay here is it.

type

" the type of prediction required. The default is on the scale of the linear predictors; the alternative “response” is on the scale of the response variable. Thus for a default binomial model the default predictions are of log-odds (probabilities on logit scale) and type = “response” gives the predicted probabilities. The “terms” option returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale."

I picked this up from https://stat.ethz.ch/R-manual/R-devel/library/stats/html/predict.glm.html

You would need to use response because the predicted probability is what we are interested in.

Now you would need to put a cut off for it , 0.5 being the default. If the predicted probability is lower than 0.5 then 0 else 1.

Which in this case makes your prediction from model as “0”.

You might want to read about logistic regression a bit, you will then be able to make sense about what I wrote. Let me know if things are still not clear.