
Convolution in the time domain corresponds to plain polynomial multiplication in the $z$-transform domain, so this problem can also be solved by writing $X(z)$ and $H(z)$ as polynomials in $z^{-1}$ and multiplying them out.
From the given sequences:
\[ X(z) = 1 + 0.6\,z^{-1} \] \[ H(z) = 0.6\,z^{-1} + 0.8\,z^{-2} + 0.5\,z^{-3} + 0.3\,z^{-4} \]The output transform is $Y(z) = X(z)H(z)$. Multiply term by term:
\[ Y(z) = (1)(0.6z^{-1}+0.8z^{-2}+0.5z^{-3}+0.3z^{-4}) + (0.6z^{-1})(0.6z^{-1}+0.8z^{-2}+0.5z^{-3}+0.3z^{-4}) \]The first product gives $0.6z^{-1}+0.8z^{-2}+0.5z^{-3}+0.3z^{-4}$. The second product gives $0.36z^{-2}+0.48z^{-3}+0.30z^{-4}+0.18z^{-5}$.
Add the two, collecting terms of the same power of $z^{-1}$:
\[ Y(z) = 0.6z^{-1} + (0.8+0.36)z^{-2} + (0.5+0.48)z^{-3} + (0.3+0.30)z^{-4} + 0.18z^{-5} \] \[ Y(z) = 0.6z^{-1} + 1.16z^{-2} + 0.98z^{-3} + 0.60z^{-4} + 0.18z^{-5} \]Reading off the coefficients directly gives the output sequence, since the coefficient of $z^{-n}$ is exactly $y[n]$:
\[ y[n] = [0,\ 0.6,\ 1.16,\ 0.98,\ 0.60,\ 0.18] \quad \text{for } n = 0,1,2,3,4,5 \]Let's summarize:
The maximum value of $y[n]$ is $1.2$.