Analysis of Factors Related to Work Fatigue on Workers in the CPP

(Cable Product Plan) Part of PT. City of JJ-Lapp SMI (Factory)

Tangerang in 2019

Arsyika Hakiki and Erna Veronika

Department of Public Health, Faculty of Health and Sciences, Esa Unggul University,

Jl. Arjuna Utara No.9, RT.1/RW.2, Duri Kepa, Daerah Khusus Ibukota Jakarta 11510, Indonesia

Keywords: Work Fatigue, Age, Workload, Nutritional Status, Physical Activity.

Abstract: Fatigue is a symptom associated with a decrease in work efficiency, specific to the skills as well as

increased anxiety and even boredom. Fatigue itself marked by feelings of fatigue decreased output, and the

physiological condition resulting from excessive activity. This research was conducted to analyze Factors

Associated with Work Fatigue Workers in Section CPP (Cable Product Plan) PT. JJ-Lapp Cable SMI

(Factory) Tangerang in 2019. This study used a cross-sectional method. Research measuring instrument in

the form of questionnaire fatigue subjective work from the Industrial Fatigue Research Committee (IFRC),

weight scales and height and stopwatch. The population in this study were workers in the CPP (Cable

Product Plan) some 60 workers. Sample of 51 workers with the random sampling method. The results using

the Chi-Square test. Statistical analysis showed an association between age (p-value = 0.045), workload (p-

value = 0.000), nutritional status (p-value = 0.000) To reduce and overcome the fatigue is high then the

recommended companies carry out medical examinations on the incidence of fatigue especially on workers

and provide meals that meet the nutritional balanced for workers.

1 PRELIMINARY

Technological advances have raised standards and

quality of human life better through increased

production and work productivity other than that

technological advancements have resulted in various

adverse impacts, which can increase environmental

pollution, workplace accidents and various types of

diseases caused by work. Overcoming these

problems requires the high performance of Human

Resources (HR) (Tarwaka, 2010). Work fatigue

contributes 50% to work accidents. Data from the

International Labor Organization (ILO) states that

almost every year as many as two million workers

die due to work accidents caused by fatigue (ILO,

2013).

Data from the International Labor Organization

(ILO) states that in 2013 1.2 million workers died

due to exhaustion (ILO, 2013) total time lost

because of fatigue on workers averaged 5.6

hours/week when compared to 3.3 hours of workers

who did not experience fatigue (Ricci et al, 2007).

According to a National Transportation Safety

Board (NTSB) report, in the United States, it was

found that 52% of single accidents were caused by

heavy equipment vehicles and from nearly 18% of

accident cases, drivers claimed to lack concentration

due to fatigue and fell asleep while driving (Peden,

2004). Based on data obtained from the Ministry of

Manpower and Transmigration of the Republic of

Indonesia states that the number of work accidents

fluctuated in 2011 to 9,891 cases, in 2012 as many

as 21,735, in 2013 as many as 35,917, and in 2014

as 24,9106, with 65% of workers in Indonesia with

complaints work fatigue so that there is need for

control (RI Ministry of Manpower and

Transmigration, 2014). Based on the results of the

Work Fatigue Survey Report on the CPJ (Cable

Product Plant) of PT JJ-Lapp Cable SMI (Factory)

Tangerang in 2018 using the IFRC (Industrial

Fatigue Research Committee) questionnaire from 87

workers found that work exhaustion of the CPP

(Cable Product Plant) by 70.37% (19 workers)

experienced mild fatigue and 29.62% (8 workers)

experienced moderate fatigue, CWP of (12) 100% of

392

Hakiki, A. and Veronika, E.

Analysis of Factors Related to Work Fatigue on Workers in the CPP (Cable Product Plan) Part of PT. City of JJ-Lapp SMI (Factory) Tangerang in 2019.

DOI: 10.5220/0009785103920396

In Proceedings of the 1st International Conference on Health (ICOH 2019), pages 392-396

ISBN: 978-989-758-454-1

workers experienced mild fatigue, the EHS

department obtained by 80% (12 workers)

experienced mild fatigue and 20% (3 workers)

experienced moderate fatigue, the logistics

department was 81.25% (13 workers) experienced

mild fatigue and 18.75% (3 workers) experienced

moderate fatigue, and engineering and maintenance

were found 88.23% (15 workers) experienced mild

fatigue and 11.76% (2 workers) experienced

moderate fatigue.

2 RESEARCH METHOD

This research uses a quantitative approach to aim to

get an idea by studying the correlation or

relationship between the independent variables of

this dependent. this research using a cross-sectional

design for this study data collection is done at the

same time. The population in this study were

workers at the Cable Product Plan with a sample size

of 51 respondents. Sample calculations performed

using two different formulas proportions. The

sampling technique in this study using simple

random sampling. The collection of data that will be

used resources in the form of primary data through

interviews using a questionnaire for age, workload,

and nutritional status the data were analyzed using

univariate performed each variable, while bivariate

analysis was done with a chi-square test using SPSS

with a significance level of p = 0.05 (CI = 95).

3 RESULTS

Based on the results of the study, it is known that the

highest proportion of fatigue levels in workers is

workers who experience high fatigue as many as 37

workers (72.5%) and the lowest proportion of

workers who experience low fatigue as many as 14

workers (27.5%). work (≤ 3 years) as many as 20

people (33.3%).

The results of the study on the age variable are

known to be the highest proportion of age among

workers who are at risk age category that is 34

workers (66.7%) and the lowest proportion of

workers with no risk category is 17 workers

(33.3%).

The results of research on the workload variable

are known that the highest proportion of workload

on workers is workers who experience heavy loads

of 35 workers (68.8%) and the lowest proportion in

the medium load category of 16 workers (31.4%).

The results of the study on the nutritional status

variable found out that the proportion of nutritional

status of workers is workers with risk nutritional

status categories, as many as 36 workers (70.6%)

and the lowest proportion with no risk nutritional

status categories, as many as 15 workers (29.4%).

Table 1: An overview of each variable on the Cable Product Plan in PT. JJ-Lapp Cable SMI factory Tangerang 2019.

Variables Frequency Percentage (%)

level of work fatigue

High >60 37 72,5

Low ≤60 14 27,5

Age

Risk of ≥ 36 34 66,7

Not Risk < 36 17 33,3

Workload

Heavy load %CVL ≥ 60 35 68,6

Medium load %CVL <60 16 31,4

Nutritional status

Risky <18,5 and >24,9 36 51.7

Not at Risk 8,5 -24,9 16 48.3

Analysis of Factors Related to Work Fatigue on Workers in the CPP (Cable Product Plan) Part of PT. City of JJ-Lapp SMI (Factory)

Tangerang in 2019

393

Table 2: The proportion of workers with work fatigue the independent variable Cable Product Planning Section PT. Cable

Factory JJ-Lapp SMI Tangerang 2019.

Variables

Work Fatigue Total P-Value OR (95% CI)

Risky Not at Risk

N % N % N %

Age

Risk of ≥ 36

82,4 6 17,6 34

100.0

0,045 1,556

(0,968-2,500)

Not Risk < 36

52,9 8 47,1 17

100.0

Workload

Heavy load %CVL ≥60

97,1 1 2,9 35

100.0

0,000

5,181

(1,865-

14,390)

Medium load %CVL<60

18,8 13 81,3 16

100.0

Nutritional status

Risky <18,5 and > 24,9

88,9 4 11,1 36 100.0

0,00

22.032

(1,071-

3,853)

Not at Risk 8,5 - 24,9

33,3 10 66,7 16

100.0

4 DISCUSSION

4.1 Age

Statistical test results show that there is a significant

relationship between the age of workers with work

fatigue with workers (p-value = 0.045). The results

of this study are in line with Medianto (2017), that

there is a significant relationship between the age of

workers who are at risk> 36 years with work fatigue

in Unloaded Workers (TKBM) workers. This is

because the age of workers is older than older

workers, so workers experience work fatigue more

quickly.

From the results of this study, it can be seen that

age is one of the factors that affect the workability of

an individual. This is because of the age at risk ≥ 36

years so that they will experience fatigue faster than

the age of no risk <36 years. The age factor can

affect a person's work capacity and a person's age is

directly proportional to his work capacity. This is as

a result of various biological changes as a

consequence of aging. Therefore, suggestions for

companies need to have a maximum age standard

for employment, so companies have workers with

higher work capacities.

4.2 Workload

Based on the results of the study obtained statistical

test results indicate that there is a significant

relationship between the workload of workers with

work fatigue with workers (p-value = 0,000). Based

on the results of research in line with Mastiawan

(2017) that there is a relationship between workload

with fatigue on PT SAP workers (Sarana Anugrah

Perkasa). This is because of the limited tools

provided in the asphalt demolition process. Workers

destroy the asphalt manually by using a hammer,

resulting in a heavy workload. The researchers inline

show that there is a relationship between workload

and work fatigue (Oesman and Simanjuntak, 2011).

The relationship of the workload with work

fatigue is influenced by the ability of each different

worker even though workers work in the same place

and with the same educational background. The

ability of someone else despite having the same

education and experience and working at the same

job, this difference is due to the capacity of that

person is different (Notoatmojo, 2003). Judging

from the cases above, the researcher suggests that

the company provides more tools (forklifts) to

reduce the workload received by workers and makes

it easier in the work process and adds to HR (Human

Resources) so that the production process can run

well. The severity of the workload received by a

worker can be used to determine how long a worker

can carry out work by the ability or work capacity

concerned. The heavier the workload, the shorter

one's work time to experience fatigue.

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4.3 Nutritional Status

Based on the results of the study obtained statistical

test results indicate that there is a significant

relationship between the nutritional status of

workers with work fatigue in workers (p-value =

0,000). This study is in line with Mentari et al.,

(2012) conducted on oil palm harvesters, there is a

significant relationship between nutritional status

and work fatigue experienced by respondents, this is

due to inadequate consumption with body needs so

that the body can feel tired, lazy, and productivity

decreases. Excessive nutritional status causes less

than optimal performance or decreased working

power and when malnutrition can also cause energy

output that is not proportional to the nutritional

intake received (Almatsier, 2005). The problem of

abnormal nutrition (excess or deficiency) at the age

of 18 years and over is an important problem that

can support the work and must be considered. This

is because there is a risk of certain diseases that will

arise and cause a person to experience fatigue

quickly and will affect one's productivity.

Based on the results in this study, workers who

have nutritional status are at risk of experiencing

high levels of fatigue compared to workers who

have no risk nutritional status. This is because the

nutritional status of workers there is more abnormal

so that workers experience an absence of balance

between energy consumption in the body and energy

supply which will reduce maximum work muscle so

that the intensity of work activities will decrease and

the body will feel more tired due to imbalance

energy needs in the human body.

Based on the observation that it was found that the

food provided by the company canteen only provided

food without regard to adequate levels of nutrition

that were not in accordance with the body's needs or

the content of nutrients that were not appropriate.

Researchers suggest that companies should pay more

attention to healthy food for workers with nutritional

levels that are in accordance with workers' needs.

Good nutrition can help workers stay healthy and

avoid work fatigue and other health risks that can

affect the performance and productivity of workers

rarely visited by health workers.

5 CONCLUSIONS

The results of this study indicate there is a

relationship between age, workload, and nutritional

status with the work fatigued Cable Product Plan

Section in PT. JJ-Lapp Cable SMI factory in 2019.

6 SUGGESTION

Remedial action is needed as the company facilitates

workers to carry out work health checks on work

fatigue company clinics or health services to

minimize the occurrence of fatigue in workers and

suppress the accident rate as a result of work (CAC)

caused by work fatigue. The company provides aids

in the form of (Forklift) in the amount more to

reduce the workload received by workers and make

it easier in the work process. The company must

provide healthy food for workers' nutritional levels

that are following the needs of workers or meet

balanced nutrition for workers.

THANK-YOU NOTE

This research supervisor under the supervision of

Mrs. Erna Veronika, SKM., M.KM, with the

examiner's mother Ira Marti Ayu, SKM., M.Epid

and Mrs. Decy Situngkir, SKM., MKKK.

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