p-ISSN: 2723-6609 e-ISSN: 2745-5254
Vol. 5, No. 10 October 2024 http://jist.publikasiindonesia.id/
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4065
Analysis of the Effect of Labor Allocation on Changes in
Farmer Household Income Due to the Development of the
Gasing Industrial Zone in Talang Kelapa District,
Banyuasin Regency
Muhammad Arbi
*
Universitas Sriwijaya, Indonesia
*
*Correspondence
ABSTRACT
Keywords: Labor Hours;
Farmers' Household
Income; Industrial Estate
Banyuasin Regency has experienced rapid industrial growth,
including the Gasing Industrial Estate in Gasing Village, Talang
Kelapa District. This study analyzes farmer household labor
allocation and its effect on total household income due to nearby
industrial activities. This research uses the survey method through
observation, interviews, and a literature study and is presented
descriptively and analytically. The results of this study indicate
that the average allocation of farmer household labor in rice
farming is 55.45 HOK per hectare per year. Meanwhile, the
allocation of labor of farm household members from non-farm
activities derived from the existence of activities around the
location of the growing industrial area is 213.71 HOK per year.
Farmer household income from rice farming by calculating family
labor wages is Rp. 4,995,843.48 per hectare per year with an
average farmer income of Rp. 10,667,225.12 per hectare per year,
while rice farming income that does not account for labor wages
is Rp. 3,413,163.98 per hectare per year with an average income
of Rp. 11,458,564.87 per hectare per year. Furthermore, from the
results of simple linear regression analysis, it is known that the
allocation of labor allocation has a significant effect on the total
income level of farmer households living around the gasing
industrial area in Gasing Village, Talang Kelapa Subdistrict,
Banyuasin Regency.
Introduction
Banyuasin Regency is one of the regencies that has experienced rapid industrial
growth compared to other regencies in South Sumatra. These industrial activities are
scattered in several locations. Currently, there is also an industrial area, one of which is
called the Gasing Industrial Estate, located in Talang Kelapa Subdistrict, Banyuasin
Regency. Industrial activities generally impact the region's economic progress, including
contributing to the value of GRDP. Based on data from 2022, GRDP at current prices in
Banyuasin Regency amounted to 28,687.76 billion rupiahs, and the industrial sector
became the second largest contributor after the agriculture, forestry and fisheries sector
Muhammad Arbi
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4066
with a contribution of 25.97 percent or 4,693.63 billion rupiahs (Direktorat Jendral
Perkebunan, 2016; Fahmi, 2013).
The industrial sector still has an important role in developing the regional
economy. The existence of both large and small industries will bring changes to the socio-
economic conditions of the community. Rahayuningsih (2022) states that the existence
of industry positively impacts the surrounding community's economy but also hurts
community social conditions such as crime, inequality, consumptiveness, and shifting
values. Meanwhile, Nawawi et al. (2022) state that the existence of industries has no real
effect on the cultural conditions of the community. On the other hand, real proof is needed
to determine whether the industry's existence is significant enough to be felt by the
people around it.
Since 2012, the industrial zone has grown rapidly, attracting numerous investors
to establish businesses in various sectors. One visible impact is the shift in work patterns
among farmer households (Riswanto et al., 2024). Many have sought alternative sources
of income outside agriculture, such as working in the industrial sector or starting small
businesses around the industrial zone. This raises the question of whether the allocation
of working hours in the industrial sector affects farmers' household income.
This is because labor allocation for activities in agriculture does not require
intensive labor; it is only needed at certain times, such as in food crop farming activities,
and plantations only allocate their labor to fertilization, weeding and harvesting. In
connection with the allocation of labor required for agricultural activities, there is very
little, so there is much free time owned by farmers. Farmers can utilize this free time to
work various jobs outside of farming. Thus, farmers around the growing industrial area
can increase household income. The allocation of labor directly affects the level of
household income. Farmer household income can come from three main sectors:
agriculture (on-farm), off-farm (agricultural business), and non-farm. Income from
agriculture comes from farming (on-farm) and agricultural businesses (off-farm). In this
case, farm income is one component of income that can be included on the farm. On-
farm income is obtained through selling rice farms, oil palm plantations, and other farms.
In contrast, off-farm income is obtained from working in plantation companies or
agricultural industries, such as palm oil mills, rubber factories, and other agricultural
businesses. Meanwhile, non-farm is income derived from working outside the agricultural
sector, such as warehousing, electronic factories, and other types of businesses. However,
labor allocation is sometimes not determined by the income conditions of farming
households. This causes the allocation of labor to be unoptimal.
The description above shows that the income of farmer households around the
industrial area is low if they only rely on business activities in agriculture. While farmers
still have much free time, it is an opportunity to increase their household income.
Therefore, the researcher is interested in examining changes in the allocation of farmer
household labor time to the total income of farmer households due to business activities
in the growing industrial area in Talang Kelapa District, Banyuasin Regency, South
Sumatra Province. This research examines the relationship between working hours, type
Analysis of the Effect of Labor Allocation on Changes in Farmer Household Income Due to the
Development of the Gasing Industrial Zone in Talang Kelapa District, Banyuasin Regency
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4067
of work, and household income among farmer households. Additionally, it will analyze
how this new industrial sector affects the dynamics of farmer households, particularly in
terms of labor allocation and changes in income sources. This study is expected to provide
deeper insights into the economic impact of industrial activities on households living near
the Gasing Industrial Estate.
Methods
The research was conducted in the community, especially farming households
near the Gasing Industry area in Talang Kelapa Sub-district, Banyuasin Regency. Over
the past five years, the growing industrial area has experienced developments in both the
types of business activities and the allocation of land use for industrial activities. This
attracts researchers to study how the industrial development in this area affects the
economic conditions of the surrounding farming households. The phenomenon that
occurs, among others, is that many farmer family members who work in addition to rice
farming also work in the industrial sector. Therefore, by analyzing the allocation of labor,
we can determine the condition of the income of farmer households around the location
of the growing industrial area (Arikunto, 2021).
The data collected are primary and secondary. Primary data collection will be
conducted in July 2024 through interviews completed with a questionnaire. Primary data
will be collected in July 2024. Primary data was collected using a questionnaire under the
main research objectives and the model of approach to the research objectives (Sugiyono,
2018). Primary data are farming costs, prices, receipts, rice farming income, labor and
family income. Secondary Data Secondary data collection will begin in March -
December 2024. Secondary data is collected through literature at relevant institutions at
the village level, including village monographs, data leaflets of relevant institutions, and
report documents considered important by the research objectives (Creswell & Creswell,
2018).
Results and Discussion
The research was conducted in the community, especially farming households
near the Gasing Industry area in Talang Kelapa Sub-district, Banyuasin Regency. Over
the past five years, the growing industrial area has experienced developments in both the
types of business activities and the allocation of land use for industrial activities. This
attracts researchers to study how the industrial development in this area affects the
economic conditions of the surrounding farming households. The phenomenon that
occurs, among others, is that many farmer family members who work in addition to rice
farming also work in the industrial sector. Therefore, by analyzing the allocation of labor,
we can determine the condition of the income of farmer households around the location
of the growing industrial area.
Muhammad Arbi
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4068
Farmer Family Labor Allocation
The allocation of farmer family labour around the gasping industrial area involves
using family labour (husband, wife and dependent family) in rice farming activities and
labor allocation for business activities outside farming (Wibowo, 2021).
1. Rice Farm Labor Allocation
Rice farming is usually carried out from August when this month will generally
enter the rainy season. The allocation of rice farming family labor consists of several
activities, including weeding, fertilizing, pest and disease control, harvesting, drying,
transporting, milling, and post-harvesting (Pesik et al., 2022; Saputra, 2021). Farmers not
only remove weeds during weeding, but it is also time for pruning coffee plants. Labor
plays an important role in various farming activities, where it is not only the head of the
family who works but also assisted by children, wives and family members who depend
on the head of the family. Most farmers do farming activities using family labor rather
than outside the family. Still, at harvest time, for example, farmers need outside family
labor to help carry out harvesting activities. The fruit is already ripe and rotten if they rely
on family labor alone. Not only does harvesting require additional labor assistance for
some farmers, but weeding also requires the help of outside family labor. Some farmers
fully use outside family labor, from weeding to post-harvest. In more detail, the allocation
of labor for rice farming in various activities ranging from weeding, fertilization, HPT
control, harvesting, drying, transportation, and post-harvest handling can be seen in Table
1.
Table 1. Average Allocation of Family Labor in Rice Farming
No.
Activity Type
Family Labor Allocation
(HOK/year)
Total
(Hok/ha/year)
Percentage
(%)
Mature
Woman
Children
1
Weeding
2,15
0
6,19
27,11
2
Fertilization
0
0
0,88
3,85
3
HPT Control
0
0
0,61
2,67
4
Harvesting
3,23
0
10,36
45,38
5
Drying
0,74
0
3,77
16,51
6.
Transportation
0
0
0,47
2,06
7
Post-harvest
land clearing
0
0
0,55
2,41
Total
6,12
0
22,83
100
Table 1 shows that the labor allocation of farm family members in carrying out
rice farming activities is 22.83 HOK per year. The largest allocation is in harvesting
activities, 10.36 HOK per year or 45.38 percent, while the allocation for land clearing
activities after harvesting is the least, 0.55 HOK per year or 2.41 percent.
2. Allocation of Labor Outside the Farm
Farmer household members also have other businesses besides agriculture,
especially rice farming, which is an annual business or once a year, so they can still
allocate labor to non-farming (Abidin, 2022). This is done to fill spare time and increase
Analysis of the Effect of Labor Allocation on Changes in Farmer Household Income Due to the
Development of the Gasing Industrial Zone in Talang Kelapa District, Banyuasin Regency
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4069
family income, but in one family, a business is not only carried out by the head of the
family because it can also be done by the wife and children who are old enough. The work
types include opening stalls around the industrial area, motorcycle taxi drivers, factory
laborers, night watchmen, construction workers, laundresses, domestic helpers, washers,
and other jobs related to business activities around the growing industrial area. The
allocation of labor in each non-farm activity varies depending on the business carried out;
non-farms that have tied and fixed jobs, such as factory employees, factory supervisors,
and security guards, have a larger and fixed labor allocation every day, and non-farms
with jobs such as motorcycle taxi drivers around the industrial area, itinerant vegetable
traders, masseurs, parking is done at certain times. The labor allocation in the services of
laundresses, stalls, and builders is smaller than in jobs like security guards. Because the
business of stalls and washers in the gaming industrial area is carried out almost every
day, sometimes it is done from morning to evening., Still, this work can also be closed or
not done temporarily if there are urgent activities. The following will explain in detail the
type of work and labor allocation of farm household members for non-farm activities
presented in Table 2.
Table 2. Average Family Labor Allocation by Non-Farm Work Type Group Around The
Growing Industrial Area
No.
Type of Work
Men
Adults
Women
Adults
Childre
n -
Childre
n
Total
HOK
Percentag
e (%)
1
0,75
0,5
1
Warung
0
3.520
0
3.520
1.647
2
Ojek
271,42
0
0
271
127
3
Factory
Laborer
274,29
0
0
274
128
4
Night Watch
156
0
0
156
73
5
Handyman
0
25,71
0
26
12
6
Factory
Foreman
565,71
0
0
566
265
7
Builder
128,57
0
0
129
60
8
Factory
Employee
260
520,00
0
780
365
9
Washerman
0
780,00
0
780
365
10
Scavengers
137,14
0
0
137
64
11
Factory Driver
38,57
0
0
39
18
12
Neighborhood
helper
0
385,71
0
386
180
13
Vegetable
Seller
120,01
0
0
120
56
14
Security guard
1091,44
0
0
1.091
511
15
Parking
60
0
0
60
28
Total
3.103,15
5231,42
0
8.335
3.900
Muhammad Arbi
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4070
Average
79,57
134,13
0
213,71
100
Based on Table 2, it can be concluded that the family labor allocation of farmers
living around the growing industrial area for non-farm activities amounts to 213.71 HOK
per year. The highest family labor allocation is in running a stall business around the
growing industrial area, with a labor allocation of 3,520 HOK per year or 42.23 percent.
The stall business carried out by family members of farming households is usually carried
out by the wife, where the stall starts to open at 07.00 until 19.00 WIB, but some are open
only until 17.00 WIB. Off-farm farming for stall activities amounted to 9 household
heads. The stall business can be run around the growing industrial area by setting up a hut
or semi-permanent building so that the stall can be closed temporarily if there are urgent
matters. The last allocation of family labor in running a masseur service business for
workers around the growing industrial area is 26 HOK per year, or 0.30 percent of the
total labor allocation in non-farm activities. This activity is generally carried out by
women from farmer households where the activity is only carried out once a week with a
labor allocation of about 2 hours.
Farmer Household Income
1. Rice Farming Income
Farm income is the total net income received by farmers from production. Farm
income is the difference between farm receipts and the total production costs incurred by
farmers (Pirngadi et al., 2023). Details of farm income obtained by rice farmers in Mulya
Sari Village can be seen in the following table.
Table 3. Average Rice Farming Income
No.
Description
Average (Rp/ha/year)
1.
Farm Revenue
25.737.600
2.
Total Cost of Production
7.707.895
Farm Income
18.029.705
Source: Primary data after processing, 2024
Based on Table 3. The average income of farmer households from rice farming
activities is Rp. 25,737,600 per hectare per year, and the average total cost farmers must
incur in rice farming activities is Rp. 7,707,895 per hectare per year. Thus, the average
total income of farmer households from rice farming around the gasing industry area of
Banyuasin Regency amounts to Rp. 18,029,705 per hectare per year. Farm income
received by farmers is certainly different due to differences in the amount of land owned
by farmers, production costs incurred, and the receipt of the results of farming activities.
If it is associated with the previous explanation of the income group of farmers, the
average farm income received by rice farmers who live around the gaping industrial area
of Rp. 18,029,705 is classified as moderate. This is based on the parameters of farm
income benchmarks according to BPS (2014), which states that the moderate farm income
group has farm income ranging from Rp.15,000,000 to Rp. 30,000,000,per year.
Analysis of the Effect of Labor Allocation on Changes in Farmer Household Income Due to the
Development of the Gasing Industrial Zone in Talang Kelapa District, Banyuasin Regency
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4071
2. Non-farm Income
In addition to having a livelihood in the agricultural sector, some people around
the gasing industry area have other businesses such as opening stalls, moonlighting as
laundresses, cooks, gardeners, cleaning services or other jobs around the gasing industry
area. The wages they get vary depending on the type of work or business they do. The
following is the average income earned by farmer families from businesses and work
activities outside the farm:
Table 4. Farm Family Members' Average Income from Non-Farm Work is Around The
Topping Industry Area
No.
Type of Work
Revenue
(IDR/year)
Total
(person)
Total
(Rp/year)
1
Warung
12.000.000
3
36.000.000
2
Ojek
10.500.000
4
42.000.000
3
Factory Laborer
24.000.000
4
96.000.000
4
Night Watch
18.000.000
2
36.000.000
5
Handyman
5.000.000
1
5.000.000
6
Factory Foreman
24.000.000
1
24.000.000
7
Builders
10.000.000
2
20.000.000
8
Factory Employee
28.000.000
3
84.000.000
9
Washerman
6.000.000
5
30.000.000
10
Scavengers
5.000.000
2
10.000.000
11
Factory Driver
24.000.000
3
72.000.000
12
Neighborhood helper
12.000.000
3
36.000.000
13
Vegetable Seller
10.000.000
2
20.000.000
14
Security guard
24.000.000
2
48.000.000
15
Parking
6.000.000
2
12.000.000
Total
218.500.000
40
571.000.000
Average
5.462.500
100
14.275.000
Table 4 shows that at least 15 types of business activities can be utilized by the
surrounding community with industrial activities in the growing industrial area. The
average income earned from business activities around the growing industrial area is
Rp14,275,000 annually.
3. Total Farmer Household Income
The total income of farmer households living around the gasing industrial area
includes income derived from rice farming activities and business activities outside
farming by utilizing the opening of business opportunities around the gasing industrial
area. The detailed data on the total income of farmer households around the growing
industrial area can be seen in Table 5 as follows:
Muhammad Arbi
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4072
Table 5. Average total income of farm households around the gaming industry area
No.
Income Type
Total
(IDR/year)
Percentage
(%)
1
Rice Farming Income
18.029.705,-
55,81
2
Off-Farm Income
14.275.000,-
44,19
Total
32.304.705,-
100,00
The table above shows that the total income of farmer households living around
the gasping industrial area generally comes from farm and non-farm income, which is
earned by utilizing business opportunities around the industrial area. Amounted to
approximately Rp32,304,705 per year. This proves that the company's presence in the
community has positively impacted the community's economy.
The Effect of Labor Allocation on Family Income Levels
1. Coefficient of Determination (R )
2
The coefficient of determination (R
2
) essentially measures how far the model can
statistically explain variations. The results of the regression model calculation show
that the coefficient of determination (R
2
) obtained is 0.684. This means that changes in
the labor allocation variable can explain the income variable (Y), which is 68.4%. This
means that the labor allocation variable can explain the high and low or the size of income
growth by 68.4% while the remaining 31.6% is influenced by other factors that are not
observed or observed in this study. So that the model error = 1 - R
2
= 1- 0.684 = 0.316.
The following can be seen in the coefficient of determination table (R
2
) in Table 6.
Table 6. Table of Coefficient of Determination (R )
2
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the Estimate
1
.827
a
.684
.675
6.85274E6
a. Predictors: (Constant), Labor Allocation
2. Simultaneous Testing (F Test)
Simultaneous testing obtained a calculated F value of 79.973 (seen from the
ANOVA value) with a significant level of 0.000. Meanwhile, the F table can be found in
the statistical table at a significance of 0.05 where df1 = 1. Df2 = 37. Got an F table of
4.11. The conclusion is Fcount of 79.973> T table 4.11, which means that the labor
allocation variable has a real effect on the size of the increase and decrease in farm
household income. The following simultaneous testing (F test) can be seen in Table 7.
Analysis of the Effect of Labor Allocation on Changes in Farmer Household Income Due to the
Development of the Gasing Industrial Zone in Talang Kelapa District, Banyuasin Regency
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4073
Table 7. F test
ANOVA
b
Model
Sum of
Squares
df
Mean Square
F
Sig.
1
Regression
3.756E15
1
3.756E15
79.973
.000
a
Residuals
1.738E15
37
4.696E13
Total
5.493E15
38
a. Predictors: (Constant), Labor Allocation
b. Dependent Variable: Revenue
3. Partial Testing (t-test)
Based on the t-test estimation, the workforce allocation variable count is 8.943. The
t table can be found in the statistical table at a significance of 0.05 with df = nk1 or
39 - 1 - 1 = 37 (k is the number of independent variables). The t-table value is 1.684.
Table 8. The t-test
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
-3.899E6
1.973E6
-1.976
.056
Labor Allocation
302904.132
33871.399
.827
8.943
.000
a. Dependent Variable: Revenue
Based on the estimation results of the influence of farmer labor allocation variables
on farmer household income around the gasing industrial area has a parameter value of
302904.132 with a significant 0.000 equal to α = 0.0%, which means H1 is accepted and
ho is rejected. This means that if the sample farmer increases the labor allocation by 1
HOK, the farmer's household income increases by 302904.132 Rupiah per year. This
means that the farmer labor allocation variable has a real effect on farmer household
income.
Conclusion
The results of this study indicate that the average allocation of farm household
labor in rice farming is 55.45 HOK per hectare per year. Meanwhile, the allocation of
labor of farm household members from non-farm activities derived from activities around
the location of the gasing industrial area is 213.71 HOK per year. Farmer household
income from rice farming by calculating family labor wages is Rp. 4,995,843.48 per
hectare per year with an average farmer income of Rp. 10,667,225.12 per hectare per
year, while rice farming income that does not account for labor wages is Rp. 3,413,163.98
per hectare per year with an average income of Rp. 11,458,564.87 per hectare per year.
Furthermore, from the results of simple linear regression analysis, it is known that labor
allocation significantly affects the total income level of farmer households living around
Muhammad Arbi
Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4074
the Gasing industrial area in Gasing Village, Talang Kelapa District, Banyuasin Regency.
This research recommends that local policymakers consider enhancing farmers' access to
employment opportunities in the industrial and non-agricultural sectors. Providing skill
training for farmer household members to optimize their working time in these sectors
could also help significantly boost household income. Additionally, future research is
recommended to explore other factors influencing household income, such as access to
capital and agricultural technology.
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