between 22.57-27.38% and the proportion between
cornhusk 11.88-16.41% (Anggraeny et al. 2006).
The proportion of the waste corn plants percent dry
ingredients consist of 50% of the stem, leaves 20%,
20% and 10% of cob, cornhusk (BPS, 2009). Cow
manure has excellent potential as a provider of plant
nutrients (fresh feces as much as 15-20 kg/head/day
and urine 10-15 liters/head/day) (Lutojo et al. 2010;
Wahyuni. 2010). The amount of waste is quite a lot
and it is very potential if it can be utilized
appropriately and optimally. Therefore, is it
important to handle it by utilizing waste such as
livestock droppings of organic fertilizer. Processing
beef cattle droppings into the compost (composting)
needs to consider a sustainable technology because it
aims for environmental conservation, and the use of
compost (organic fertilizer) can reduce the use of
chemical fertilizers and the larger value breeders
(Indrawaty, 2015). So far, the utilization of waste
stool and urine has still been untapped with
maximum livestock excrement. Many have
accumulated around the enclosure and not many are
utilized. Stool that was not processed can only be
allowed naturally into organic fertilizer, while the
urine passing from the cage can only be put into the
tub without treatment. Therefore, this will produce
solid organic fertilizers that are moist, not crumb,
immature, easily moldy, save time and the
manufacturing process (Swastike et al, 2015).
2 RESEARCH METHODS
2.1 Research Time and Location
This research was conducted from June to
September 2018. The research location was in Deli
Serdang regency, North Sumatra province. This
location was chosen by considering the area of corn
farming and beef cattle, in which transportation
facilities (axle road and sub-district ring road),
location plantations and beef cattle farms that are
close together were available.
2.2 Research Materials and Tools
The materials used in this study were corn waste
(wet stover/dry stover; WS/DS), cattle waste
commercial (C) and cattle waste traditional (T),
EM4, water. The equipments used in this study were
tissue, label paper, polybag, plastic bucket/tube,
wood stirrer, chopper machine, oven, furnace,
micropipette (Socorex Calibra 832; 1-10 ml, Gilson;
1000 μl, Transferpette; 10-100 μl), analytical scales
(mettler ae 100 ), whatmen paper, desiccator, and
other analysis tools.
2.3 Research Implementation
The process of making compost was done in several
steps of finely chopping WS/DS and mixing, cattle
waste (C/T) mixed with EM4 solution with a
concentration of 5 ml/l of water and 10 ml/l of
stirred water evenly. The composting formulation
was then carried out by comparing 1 part C/T: 3
parts WS/DS. Formulation of C/T : WS : DS
(Control; 1: 0: 3; 1: 1: 2; 1: 2:1; 1: 3: 0). The mixture
of WS/DS and cow manure was evenly mixed, then
put in a polybag in a closed bucket, followed by
checking and reversing once in three days. It was
estimated that after forty days the compost had been
ready. During the decomposition process, it did not
emit a foul odor, even the fermented aroma. The
parameters observed were closely related to the
quality of compost, namely yield, moisture content
(Oven), pH of compost (Potentiometry), P
2
O
5
(Spectrophotometry), K
2
O (AAS), compost organic
C content (Gravimetry), N-total compost content
(Volumetric), and C/N ratio (Supatma and
Arthagama, 2008; Surtinah, 2013).
2.4 Statistical Analysis
The experimental design used for the treatment of
compost material was a nonfactorial Completely
Randomized Design Model (non-factorial CRDM).
The independent variable used for the treatment of
compost material is the compost material
formulation, namely the C/T: WS: DS (Control; 1:
0: 3; 1: 1: 2; 1: 2: 1; 1: 3: 0). The compost produced
was then tested for yield, moisture content, and pH
of compost, P
2
O
5
compost, K
2
O compost, compost
organic C content, N-total compost content, C/N
compost ratio. A statistical model for complete
random design is as follow:
Y
ij
= μ + τ
i
+ ε
ij
(1)
information :
i : factor (i = 1,2,3,4 .... n)
j : replication (j = 1,2,3 ... n)
Y
ij
: the experimental response to compost material
is the factor and the jth test
μ: general average
τ
i
: influence of compost material factors
ε
ij
: trial error