Cattle Sharing
Cattle Sharing
Cattle Sharing
Agus Suwantoro*
Master of Management, Faculty of Economics and Business, Hasanuddin University, Email:
agus.suwantoro78@gmail.com
Abstract
The objective of the research cattle sharing program is implemented by the Lembu Alam Farmer Group, an
independent community-based institution in Mojokerto, East Java, in terms of farmer income, labor
employment and cattle population increase. A survey was conducted using all the 55 farmers participating
in the program from April to June, 2023. Net present value (NPV), benefit cost ratio (BCR) and internal rate
of return (IRR) were determined from the conditions of before and after participating in the program. NPV
was found to increase for 64.40% from IDR 18,251,432 (before) to IDR 28,338,774 (after). BCR and IRR
were 21.35 and 50% respectively. Average income was found to be IDR 5,212,500/year. Cattle natural
population increase was found to be 27.05%/year. This program increased the labor employment as much
as 12.27%. Regression analysis showed that the factors affected the ability of farmers to give back the share
were cattle mortality (P<0.01), farmer experience (P<0.05) and calving interval (P<0.01). It is concluded
that this cattle sharing program is a success program in increasing cattle population,
A. INTRODUCTION
B. RESEARCH METHOD
Location and Research Design
The research location is in Suru Village, Dawarblandong District, Mojokerto Regency, East
Java. The research was conducted from April to June 2023.
Research material
The material used in the study was all 55 farmers receiving rowdy cattle in 2023 who are
members of the Lembu Alam farmer group in Suru Village, Dawarblandong District, Mojokerto
Regency, East Java.
Data analysis
The results of the research are in the form of field data, tabulated and then analyzed in
accordance with the research objectives, namely 1) population increase, 2) income increase, 3)
labor absorption and factors that influence payback time. To determine the feasibility of using the
discounted cash flow method, it includes: benefit cost ratio (BCR), net present value (NPV), and
internal rate of return (IRR) (Gray et al., 2005). To find out the factors that influence the return
time of rowdy, it is analyzed using a multiple linear regression model (Algifari, 2000). The
mathematical model used is: Y = a = + b1X1 + b2X2 + b3X3 + b4X4 + b5X5 + e Information:
Y = payback time (years)
X1 = farming experience (years)
X2 = allocation of livestock livestock (HOK/year)
X3 = the number of dependents
X4 =calving intervals(month)
X5 = mortality rate (%)
The average age of cattle breeders is 46.6 years with a range of 32-70 years which is a
productive age in accordance with Mantra (1985) which states that people who are included in
the labor force are people aged 15-64 years. The age range that has entered the work force will
be more receptive to innovation, so it is still possible to develop a rowdy beef cattle business. The
study conducted by Fatati (2001) shows that the younger a person is, the faster they accept
changes from outside because farmers always want to try something new as an effort to increase
their knowledge and skills in diversifying their business.
Tabel 2. (farmers’education)
(education) (total)
Orang %
Tidak sekolah (illiterate) 2 3.63
SD (primary school) 17 30.91
SMP (junior school) 14 25.46
SMA (senior school) 16 29.1
D1-D3 (diploma) 4 7.27
S1 (undergraduate) 2 3.63
55 100
Breeding experience
Experience in raising cattle for participants in the cattle rowing program presented in Table 3.
Tabel 3. (farmer’s experience)
<5 12 21,81
5 – 10 15 27,27
11 – 16 6 10,90
> 16 22 40,00
Total 55 100,00
Breeders generally have knowledge of cows for a relatively long time. The average farming
experience is 14 years with a range of 2-45 years. This is because cattle have a very close
relationship with agricultural businesses, as well as family savings, for example livestock can be
used as capital to send children to school or as capital for other businesses. In an effort to develop
beef cattle rumbles, breeders are equipped with practical knowledge on how to raise beef cattle
through counseling and guidance from Animal Husbandry Practitioners. According to Isbandi
(2004), counseling and coaching to livestock farmers is carried out to change farming methods
from traditional patterns to commercial livestock businesses by applying good zootechnical
methods.
Livelihood
The livelihoods of breeders receiving ruminant beef cattle are presented in Table 4.
Based on Table 4, the beef cattle business carried out by the respondents is still a part-time
business, almost 50% of the respondents work as farmers. The main commodity is food crops. In
general, livestock business is a part-time business to provide for one's own needs (Directorate
General of Livestock, 1991). This is in accordance with the opinion of Roessali et al. (2005), that
farming or beef cattle business for people is generally small-scale. The main goal of rearing has
shifted from working livestock to being replaced by hand tractors so that until now it has been
more directed towards family savings which can be used at any time in the context of urgent needs
Table 5 explains that the average number of respondents' family members is 4.31 people
consisting of various age groups. In general, they are over 15 years old (63.45%) who are of
productive age, while only 36.55% are family dependents. In terms of the number of family
members, the greater the number of family members, the greater the needs of the family that
must be met. Thus it will encourage farmers to try to obtain additional income through other
businesses. As seen in this study, one of the objectives of developing beef cattle ranches is to
increase family income. When viewed from a labor perspective, the number of family members
determines the availability of labor in their business activities.
Livestock ownership
The composition of the livestock is based on the age of the livestock consisting of calves
(birth to 6 months of age), virgins and young (between 6-12 months of age), and adults (more
than 12 months). Livestock ownership is calculated based on livestock units (UT) using the
following conversion: one calf = 0.5 UT, one young animal = 0.8 UT and an adult animal = 1 UT
(Directorate General of Livestock, 2004). The type of cattle cultivated is Limousin cattle. The
average livestock ownership is presented in Table 6.
Based on Table 6, the average beef cattle ownership is 2.39 UT. On average, each breeder
has 3 livestock consisting of 1 adult, 1 young and 1 calf. The average livestock ownership is the
remaining livestock until now, after paying off the return of rowdy livestock and livestock that
have been sold or are small-scale farmers. This is supported by the statement of Roessali (2004)
that small-scale farmers are only raising cattle as a sideline and tend to keep their numbers the
same from year to year based on the ability of the number of family members.
Tabel 7. (absorbtion of family labour to the effort agriculture, ranch and other effort)
Based on Table 7, the average number of family members of respondents who are of
working age (age 10-64 years) is 3.50 people with details of 1.58 adult men, 1.16 adult women
and 0.76 children. If converted based on JOK, the number of family hours available for each
respondent is 22.17 JOK, consisting of 12.64 JOK for adult men, 6.50 JOK for adult women and
3.04 JOK for child labour. The average absorption of labor for agricultural businesses is 5.26 JOK,
for beef cattle business is 1.49 JOK and other businesses is 3.67 JOK. Matatula (1997) states that
the employment of beef cattle business families is 13.85% of the total productive workforce. This
shows that in the study area the absorption of labor for livestock business is still low because
livestock business is still a side business. Absorption of labor for agricultural business is 23.71%
of the available workforce, absorption of labor for the rowdy beef cattle business is 6.70% of the
available workforce and employment for other businesses is 16.58% of the total available
workforce. If converted to HOK/year, the total working hours used is 1011.78 hours, but if
deducted by the total HOK/year for agricultural businesses, rowdy beef cattle and other
businesses in one year, there are still 474.98 hours or 11.87 JOK per day. Based on the results of
the research above, it shows that there is still a workforce that has not been utilized optimally.
Natural increases
Natural increasesin percent or natural population increase calculated based on % births
minus % deaths in one year. In the research conducted, NI was calculated from May 2021 to May
2022. Table 8 presents the composition of beef cattle and the average age obtained in the study.
The number of calves born for 1 year was 34 calves or 53.12% of the parent population,
namely 64 calves. The calf death at birth was 1 calf, so the calf crop obtained for 1 year was 33
calves or 51.56% of the parent population. The percentage of sows is 64/122 X 100% = 52.45%,
so the percentage of calves born per total population is 53.12% X 52.45% = 27.86%. The number
of deaths of beef cattle from the population for 1 year is 1 head or 1/122 X 100% = 0.81%. Based
on these results, the NI number of rowdy beef cattle business in this study was 27.86% - 0.81%
= 27.05% a year. When compared with non-adversary breeders, from 216 head of cattle taken as
random at the study site, the NI rate obtained was 25.81%. This shows that the existence of a
rowdy program can increase the population increase naturally better than non-custodial
breeders, although it is not significant because in general the management of livestock rearing is
relatively the same between custodian and non-informer breeders in the study area. When
viewed from the NI rate of cattle at the research location, it is high when compared to Indonesia's
NI rate in 1991 of 17.5% (Faculty of Animal Husbandry UGM, 1991). The high rate of NI is due to
the ideal calving interval of 13 months, and rowdy breeders already know when the livestock will
be mated so that the mating time can take place properly. although not significant because in
general the management of livestock rearing is relatively the same between custodial and non-
assist breeders in the study area. When viewed from the NI rate of cattle at the research location,
it is high when compared to Indonesia's NI rate in 1991 of 17.5% (Faculty of Animal Husbandry
UGM, 1991). The high rate of NI is due to the ideal calving interval of 13 months, and rowdy
breeders already know when the livestock will be mated so that the mating time can take place
properly. although not significant because in general the management of livestock rearing is
relatively the same between custodial and non-assist breeders in the study area. When viewed
from the NI rate of cattle at the research location, it is high when compared to Indonesia's NI rate
in 1991 of 17.5% (Faculty of Animal Husbandry UGM, 1991). The high rate of NI is due to the
ideal calving interval of 13 months, and rowdy breeders already know when the livestock will be
mated so that the mating time can take place properly.
The results of the research based on the results of the analysis then formulated a multiple linear
regression equation model with the following form: Y= 0.777 – 0.019X1 + 0.023X2 – 0.026X3
+0.176X4 + 0.060X5
In this study, beef cattle return time as the dependent variable was influenced by several
factors including farming experience (X1), labor allocation (X2), number of dependents (X3),
calving interval (X4) and mortality (X5). The results of the processed data in Table 9, the
independent variables that show a significant effect on the return time of beef cattle as the
dependent variable is the mortality rate, while the independent variables that show no significant
effect are labor and the number of dependents. Based on the t test, partially the independent
variable calving interval and the mortality rate obtained the regression coefficient is positive so
that it has a significant effect on the dependent variable, because the shorter the calving interval,
the faster the time to return livestock. Devendra et al.
Mortality rate (P<0.001) for the return time of rowdy cattle with a positive coefficient value
(0.060) indicates the higher the livestock mortality rate, the longer the return time for rowdy
cattle, and conversely the lower number mortality, the faster the return time of cattle. On
experience breed And amount
dependent coefficient value is obtained regression negative and significantly influence the
dependent variable. Breeding experience (P<0.01) on the return time of beef cattle with a
negative regression coefficient (-0.019), This means the longer the farming experience, the faster
the return time for rumbles, and conversely the less farming experience the longer the time return
cattle rowdy. Amount family responsibilities do not affect the time of return because the study
area is an agricultural location, so not all families are involved in livestock business. Table 9 also
shows the coefficient values determination (R2) of 0.700 means that the variation in return time
as the dependent variable can be explained by the variation of the independent variables in the
regression equation model of 70.0%, while the remaining 30.0% is explained by the variation of
variables not included in the regression equation model. The calculated F-value is 22.840
(P<0.01), this indicates that all variations of the independent variables (X1,X2,X3…...X5) in the
regression equation model jointly affect the dependent variable
D. CONCLUSION
From the results of the study it was concluded that the beef cattle development program
through the Lembu Alam Farmer Group in Mojokerto Regency in general had not reached the
program's target. This is evidenced by the low increase in the population of rowdy cattle, the
selection of potential recipients has not met the requirements, violations without strict sanctions,
REFERENCE
Algifari. 2000. Regression Analysis (Theory, Cases and Solutions 2nd Edition). BPFE, Yogyakarta.
Devendra, CT, LK Cho, M. Patheachan. 1973. The productivity of Bali catle in Malays. Agric. J. 8(4):
49-55.
Directorate General of Livestock. 1991. Development and development of livestock in Indonesia
in terms of genetic quality improvement. Paper. Presented at a one-day Livestock Breeding
seminar, Bogor.
Directorate General of Livestock. 2004. Livestock Statistics Bulletin 06 – 07/VII. Indonesian
Ministry of Agriculture, Jakarta.
UGM Faculty of Animal Husbandry. 1991. Inventory of the potential supply of beef cattle in Central
Java.
Research Report. Collaboration with the Animal Husbandry Service for Central Java.
Fatati. 2001. The behavior of livestock farmers in diversifying oil palm crops with beef
cattle in the Sungai Bahar transmigration area, Muaro District. Journal of Animal
Husbandry Sciences 4(2): 29-35.
Gray, C., P. Simanjuntak, LK Sabur, FPL Maspaitela. 2005. Introduction to Project Evaluation.
Gramedia Pustaka Utama, Jakarta.
Hartono, R. 2000. Minimization of production costs for broiler livestock businesses in a
partnership pattern. Livestock Bulletin 24(4): 170-175.
Hermanto, F. 1995. Farming Science. Print V. Independent Publisher, Jakarta.
Isbandi. 2004. The influence of group dynamics on the application of zootechnics by groups of
beef cattle farmers. Journal of Agricultural Extension Development in the Field of Animal
Husbandry Sciences 13: 120-123.
Jakfar and Kasmir. 2007. Business Feasibility Study.
2nd edition. Kencana, Jakarta.
Kadariah, L. Karlina, and C. Gray. 1999. Introduction to Project Evaluation. Faculty of Economics.
University of Indonesia, Jakarta.
Machfoedz, M. 1987. Management Accounting. Open University. Ministry of Education and
Culture, Jakarta.
Mantra, IB 1985. Introduction to Demographic Studies.
Nurcahaya, Yogyakarta.