In spirit, this is just the triangle inequality, and that's how we'll prove it. First assume $f$ is real valued. Remember that
$\int f d\mu = \sup_g \int g d\mu$
where the supremum is taken over all simple functions $g \leq f$, i.e. all $g$ of the form
$g(x) = \sum_j c_j 1_{A_j}$
for some finitely many real numbers $c_j$ and measurable sets $A_j$. The inequality holds for any such $g$, since
$\Big| \int g d\mu \Big| = \Big| \sum_j c_j \mu(A_j) \Big| \leq \sum_j |c_j|\mu(A_j) = \int |g| d\mu,$
by the triangle inequality. Thus
$\Big| \int f d\mu \Big| \leq \sup_g \Big| \int g d\mu \Big| \leq \sup_g \int |g| d\mu = \int |f| d\mu.$
Note that the assumption $f \in L^1(\mu)$ is unnecessary, since in the case that $f$ is not integrable, the right hand side is infinite, so the inequality holds trivially.
If $f$ is complex valued, then take $\alpha \in \mathbb{C}$ so that $\alpha \int f \in \mathbb{R}$, and write
$\Big| \int f d\mu \Big| = \int Re(\alpha f) d\mu \leq \int |Re(\alpha f)| d\mu \leq \int |\alpha f| d\mu = \int |f| d\mu$.
Edit: There are a couple of not-completely-trivial facts I've used. It would be good to check these to make sure you understand what's going on!