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Vol.%11(1):%123-135,%January%2023%DOI:%https://doi.org/10. 23960/jsl.v11i1.664%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Jurnal'Sylva'Lestari'
Journal%homepa ge:%https://sylvalestari.fp. unila.ac.id%
123
P-ISSN: 2339-0913
E-ISSN: 2549-5747
Full Length Research Article
Does Motor Manual Pine Oleoresin Tapping Bring Work-Related
Musculoskeletal Disorders Risk to the Tappers? (RoM, REBA, RULA, and
OWAS Based Postural Analysis)
Efi Yuliati Yovi*, Bayu Wilantara
Department of Forest Management, Faculty of Forestry and Environment, IPB University. IPB Dramaga Campus, Bogor 16680,
West Java, Indonesia
* Corresponding Author. E-mail address: eyyovi@apps.ipb.ac.id
ARTICLE HISTORY:
Received: 10 November 2022
Peer review completed: 10 January 2023
Received in revised form: 15 Jan uary 2023
Accepted: 18 Janu ary 2023
KEYWORDS:
Musculoskeletal disorders
Pine tapping
Postural analysis
Risk level
© 2023 The Author(s). Pub lished by
Department of Forestry, Faculty of
Agriculture, University of Lampung in
collaboration with Indonesia Network for
Agroforestry Education (INAFE).
This is an open access article under the
CC BY-NC license:
https://creativecommons.org/licenses/by-
nc/4.0/.
ABSTRACT
Rosin and turpentine oil are commercially developed non-timber forest
products generated from pine oleoresin. In Indonesia, the Quarre method
is utilized to tap manually or motor-manually (using handheld tapping
machines). Handheld tapping machines can greatly boost productivity on
the work, but they may also pose serious risks to workers’ health. This
study aimed to examine the work-related musculoskeletal disorders
(WMSDs) risk of motor-manual tapping by using four postural analysis
instruments: Natural Range of Motion (RoM), Rapid Entire Body
Assessment (REBA), Rapid Upper Limb Assessment (RULA), and the
Ovako Working Posture Analyzing System (OWAS). In addition to the
finding that the use of handheld machines is associated with a high
WMSDs risk level, particularly in the work element of renewing the
tapping faces, this study demonstrated that RULA is a postural-based risk
level instrument with the highest level of sensitivity when being used to
assess risk levels in tapping activities involving a great deal of upper limb
movements. Despite the widespread use of OWAS for emergency
corrective action, this study demonstrates that OWAS has a very low level
of sensitivity. For this reason, we stress the importance of using a wide
range of instruments for risk assessment to get more accurate results.
1. Introduction
Rosin and turpentine oil are two non-timber forest products (NTFPs) with commercial
potential that have undergone extensive commercial development. According to international trade
data, Indonesia, China, Brazil, Portugal, and the United States are the world’s leading exporters of
rosin (OEC 2022), with a total value of USD 1.22 billion (2020 data). Both products are derived
from the processing of pine oleoresin. Oleoresin is extracted by tapping the tree’s bark. Quarre
tapping and the Riil method are methods of tapping that are widely used throughout the world
(Cunningham 2012). Among the two tapping methods, tappers in Indonesia seem to prefer the
Quarre method due to the basic design of the tapping face, which makes renewing the tapping
faces (rewounding) to establish a fresh resin canal simpler.
Locally known as “pethel” or “kadukul”, a little hacket is the usual tapping instrument for
the Quarre method. Using this manual tapping instrument, a tapper can renew a tapping face to
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
124
approximately 100 trees per hour (about 3.5 effective hours). In addition to conventional tapping
tools, a handheld tapping machine can be used for this renewing work. This gas-powered machine
is utilized by pine resin tappers in Java, Indonesia. The usage of these tapping machines built from
modified lawn mowers can boost tappers’ output by up to 230% (Yovi et al. 2021), allowing them
to make more income (Davis 2016; Yovi and Amanda 2019) while satisfying market demand.
Although it has been proven that handheld tapping machines are more efficient than manual
tapping tools, gas-powered handheld machines pose a significant Occupational Safety and Health
(OSH) risk for the operators (Malinowska-Borowska 2012; Yovi and Yamada 2019). In forestry
activities, the gas-powered chainsaw has been the most well-known handheld machine. Chainsaws
offer superior portability and versatility at a much lower price and operational cost. Other cutting
equipment, such as tree harvesters and feller bunchers, are far more costly to operate than
chainsaws. However, handheld chainsaws have been linked to a number of serious health and
safety issues in the workplace. Work-related musculoskeletal disorders (WMSDs) (Yovi and
Yamada 2019), hearing loss due to exposure to the noise produced by chainsaws (Malinowska-
Borowska 2012), and hand-arm vibration syndrome (HAVS) caused by vibration exposure to the
operator’s hand-arm (Malinowska-Borowska 2012) have been commonly reported among
chainsaw users. Since the engines of these two portable gas-powered devices operate similarly, it
is not inconceivable that the use of handheld tapping machines will also have negative health
impacts on operators.
There has been concern amongst experts about WMSDs. In the United States, WMSDs
accounted for around 29–35% of occupational injuries and illnesses from 1992 to 2010, costing
USD 2.6 billion per year (Bhattacharya 2014). WMSDs can occur in workers who handle large
items, operate in awkward positions, or perform repetitive tasks (Da Costa and Vieira 2010).
These three causes of WMSDs can also be seen in pine tapping activities. This suggests that
workers using gas-powered handheld tapping machines are at risk for developing WMSDs.
To date, occupational health concerns, particularly WMSDs, have not been the subject of
many investigations on tapping activities utilizing handheld tapping machines. Whereas it is
important to consider the potential occupational health risks associated with utilizing handheld
tapping machines when making decisions for tapping management, it is equally important to
consider the benefits of utilizing such equipment, such as increased productivity. This potential
risk information can be utilized as a basis for corrective action to lower the risk of WMSDs in
workers, thereby minimizing possible losses for workers and enterprises. Therefore, the goal of
this study was to determine (utilizing widely used measurement instruments: the RoM, REBA,
RULA, and OWAS) the risk of WMSDs associated with the use of gas-powered handheld tapping
devices. In addition, since the four instruments have slightly different approaches, this study also
sought to figure out the best instrument for postural analysis in pine tapping activities so that future
researchers can use this information to select the appropriate instrument for conducting postural
analysis in other activities with comparable characteristics.
2. Methods
The data in this study are March 2020 video recordings of nine working days of tapping in
a pine forest in Sukabumi, Indonesia. Approximately 2,000 trees were tapped in the video
recordings. The work postures analyzed in this study were observed from selected work cycles
(performed by 3 tappers out of 8 active tappers in the study site) that were clear enough to allow
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
125
detailed observations. A preliminary analysis indicated that the average cycle time was around 20
seconds per tapping face, which led us to conclude that 90 cycles adequately represented the entire
population (Niebel and Freivalds 2014). A field visit in October 2022 confirmed that there were
no modifications to the tapping method. This indicates that the work postures depicted in the video
clip reflect the current work postures for pine tapping. The handheld tapping equipment used
weighed 14 kg (gross).
The criteria that can be used to select the work postures for further analysis include those
that are held for the longest duration, appear to be the posture with the highest risk, or are related
with the greatest load (David 2005; Joshi and Deshpande 2019; Roman-Liu 2014). The second
criterion is the position that is repeated most frequently. According to interviews and observations,
the position required the highest amount of muscle activity and was known to produce discomfort
was the one that was repeated most frequently. The final criterion for selection is an awkward,
unstable, and excessive posture, particularly in situations where great power is required. In this
study, we employed two criteria: the posture that appears to pose the greatest risk, as assessed by
the RoM concept, and the most often repeated postures, as determined by observation data.
The postures evaluated should represent each element of work in a single tapping cycle. To
determine the work element, we treated the tapping of a single tree as one tapping cycle.
Observations on the field revealed that there was one work element that only emerged at specific
moments (for example, at the beginning of the cycle on one day of observation), but the
movements within this work element were crucial. This work element involves
installing/positioning the machine in the back, which is known to involve strenuous movements
that may cause WMSDs. Even though there were three work elements in one tapping cycle, namely
walking, cleaning the work area, and making a new wound (rewounding, renewing of the tapping
faces), we added postures from the “positioning the machine in the back” work element for
analysis. The work postures for each element were studied in great detail using recordings of
selected 90 work cycles that were clear enough to allow detailed observations.
2.1. Selection of Work Postures using the Concept of Natural Range of Motion (RoM)
Generally, the range of motion (RoM) of a human body segment, i.e., the range of movement
that is still achievable for a joint under normal conditions, may vary between individuals. There
are a variety of normal standard ranges now in use. One is the natural RoM, which was
subsequently collated by Openshaw and Taylor (2006). According to this approach, the joint range
of motion is divided into four zones:
1. Zone 0 (green zone), in which the majority of motions are advised, places low stress on the
muscles and joints.
2. Zone 1 (the yellow zone), a recommended movement zone, offers better joint mobility than
zone 0.
3. Zone 2 (the red zone), where there are numerous severe body positions, muscle and joint tension
are increased.
4. Zone 3 (beyond the red zone), which contains numerous severe body positions, should be
avoided whenever feasible, particularly when carrying big objects or doing repetitive activities.
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
126
2.2. Postural Analysis of the Selected Postures
Postural analysis is one of the methods that can be used to assess the risk of WMSDs in a
particular activity. The analysis of posture can be conducted either subjectively or objectively.
Rapid Entire Body Assessment (REBA), Rapid Upper Limb Assessment (RULA), and Ovako
Working Posture Analyzing System (OWAS) are widely recognized examples of objective
qualitative postural analysis (Lowe et al. 2019; Roman-Liu 2014;). Despite the assumption that
the anthropometric size of the worker has no effect on the risk estimation results, all three
instruments are acknowledged as providing estimates that are deemed accurate. Each instrument
takes a different approach to evaluating the level of risk, and as a result, each instrument has its
limitations that manifest in the estimation results (Joshi and Deshpande 2021; Kee 2022). This
study used all three instruments to provide a more thorough risk assessment. However, it should
be noted that REBA, RULA, and OWAS are risk assessment instruments for WMSDs that do not
account for the influence of duration, vibration, noise, and other ambient variables on WMSDs’
risk levels (Chiasson et al. 2012; Takala et al. 2010).
2.3. Rapid Entire Body Assessment (REBA)
REBA is a work posture assessment method that considers all body components (Hignett
and McAtamney 2000). In REBA, postures are evaluated based on two primary body groups, A
and B. Group A includes the neck, the trunk, and the legs. Group B includes the upper arm, the
lower arm, and the wrist. Load, coupling, and activity parameters are all taken into account by
REBA. Frequency and presence/absence of repetitive movements are also included in the activity
factor (both minor and major movements). The scoring system is divided into five “action levels”,
each of which indicates the investigation’s urgency. The scores for the five levels of action are as
follows: 1 = negligible risk; 2–3 = low risks, change might be required; 4-7 = medium risk,
requiring further investigation and implementation of change soon; 8-10 = high risk, requiring
investigation soon and implement change; 11+ = very high risk, implement change.
2.5. Rapid Upper Limb Assessment (RULA)
RULA is a method designed in the field of ergonomics to explore and evaluate work
postures, with a focus on upper body assessment (McAtamney and Corlett 1993). The examined
postures were classified into two major categories, A and B. Group A consisted of the upper arm,
the lower arm, and the wrist. Group B includes the head, trunk, and legs. Although RULA also
considers the legs, just like REBA, scoring depends on whether or not the legs are supported. In
RULA analysis, load factor and muscle use are corrective factors. Unlike REBA, RULA’s score
system is divided into four action levels that indicate the urgency of the investigation. The four
levels of action are as follows: score 1-2 = acceptable posture (if it is not maintained for an
extended period); score 3-4 = low risk, further investigation is required and changes may be
necessary; score 5 or 6 = medium risk, investigation and changes are required soon; score 6+ =
extremely high risk, investigation and changes are required immediately.
2.6. Ovako Working Posture Analyzing System (OWAS)
OWAS, like REBA and RULA, is a method for examining and analyzing awkward work
postures that might lead to MSDs (Karhu et al. 1981). OWAS based its evaluation on the
movement of the back, arms, and legs, as well as the weight of the load carried by the worker. The
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
127
outcome of the OWAS study is a score representing the posture of each body part of the worker.
Each OWAS final score is interpreted as follows: 1 = no action is required; 2 = corrective actions
are required in the near future; 3 = corrective actions should be completed as soon as feasible; and
4 = corrective actions for improvement are required immediately. The OWAS method, like REBA
and RULA, can rapidly identify work postures with the potential to cause WMSDs.
3. Results and Discussion
3.1. Results
Observation of the nine selected work cycles identified eight work postures in the walking
work element, nine work postures in the machine installment work element, five work postures in
the understory cleaning work element, and eighteen work postures in the renewing tapping face
work element. Table 1 presents the postural variations identified for each work element. In
addition, based on the results of the RoM assessment of the 40 identified postures, we selected 12
postures (Table 2) that were further assessed using the REBA, RULA, and OWAS instruments.
Table 3 presents the angles at various body segments while tapping pine with a handheld
tapping machine in the 12 selected postures. Table 4 displays the final results from the REBA,
RULA, and OWAS analyses.
3.2. Discussion
The tapping of pine resin involves at least four components, including walking, installing
the tapping machine, clearing the undergrowth, and renewing the tapping face. As tapping is a
dynamic activity, different work postures were found in a work element. As noted previously, the
analysis was limited to those work postures that appeared to pose the most danger (as determined
by the RoM concept) and were the most often repeated. Therefore, the improvement is directly
aimed at work postures that have a high risk of WMSDs.
In general, the work postures formed in each work element are associated with various
degrees of risk; yet, the REBA, RULA, and OWAS instruments interpreted the risk level categories
differently. In the walking work position, OWAS determined that all selected walking postures
(W1, W4, and W7) were acceptable. However, REBA and RULA determined that these postures
posed a medium risk.
In the machine installment, OWAS detected posture S7 as requiring corrective measures (in
the future) during the work part of installing the machine but did not recommend any modifications
to postures S3 and S6. The forward bending position of the trunk in S7 increases muscle stress,
and therefore the work will necessitate exceptional muscular endurance. This circumstance will
result in increased muscular loading and stretching, which can lead to musculoskeletal issues and
raise workers’ workloads (Laithaisong et al. 2022). This OWAS reading was distinct from the
REBA and RULA readings, particularly with regard to the S6 posture. REBA rated S6, a standing
position with extreme flexion at the right shoulder and elbow, as “high risk”, but RULA assessed
it as “extremely high risk”. RULA’s assessment weighting of the upper body (in this case, the
neck and arms) contributes to the difference in risk level. The consistency of RULA’s weighting
on the upper limb is also can be seen in S3 evaluation outcomes. In posture S3, in which the right
and left legs were extremely flexed, RULA is not as sensitive as REBA. In this S3, RULA rated
the risk level as low risk, while REBA rated it as medium risk (hence REBA recommends
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
128
Table 1. The natural Range of Motion analysis results: the zonation of 40 work postures identified through observation on 90 work cycles
Postures
Neck
Trunk
Shoulder
Elbow
Wrist
Hip
Knee
Ankle
R
L
R
L
R
L
R
L
R
L
R
L
F
E
F
E
F
E
F
E
F
F
F
E
F
E
F
F
F
F
F
E
F
E
W1
19
22
21
3
53
78
39
5
44
13
42
33
10
2
W2*
20
4
16
6
33
91
14
5
8
17
46
40
2
27
W3
10
26
18
39
100
52
14
5
69
12
42
7
1
21
W4*
4
2
2
13
91
28
6
7
0
19
5
81
2
14
W5
9
40
12
35
61
7
3
5
32
91
33
62
18
4
W6
0
16
8
2
69
40
12
3
30
19
16
17
0
14
W7*
6
7
4
5
112
53
27
0
0
34
0
54
19
16
W8
12
9
35
16
100
122
12
8
23
12
77
18
14
3
S1
39
28
17
14
17
74
10
8
32
39
10
5
4
5
S2
7
5
12
5
78
64
8
20
3
4
1
0
2
1
S3*
40
0
0
34
111
13
5
13
71
66
163
156
31
21
S4
27
83
53
72
35
50
7
21
88
93
6
0
1
10
S5
30
39
36
40
32
24
2
8
53
46
4
0
9
7
S6*
14
3
100
3
148
90
5
11
0
0
13
22
9
19
S7*
6
92
52
75
60
10
7
16
108
76
6
5
10
11
S8
6
43
25
13
53
48
15
0
39
37
0
10
13
1
S9*
15
0
17
21
110
88
0
9
4
11
23
0
24
40
C1*
8
5
40
33
72
47
29
11
8
8
6
6
3
3
C2*
4
17
30
37
101
17
4
1
34
1
17
4
1
2
C3
6
5
8
20
83
35
5
13
7
8
1
4
3
5
C4
7
19
22
4
78
87
4
0
15
2
6
2
0
2
C5*
6
3
2
12
90
47
12
25
18
3
16
3
1
2
R1
17
14
4
29
83
79
12
2
23
13
50
3
14
4
R2
10
25
16
56
68
45
2
10
46
27
21
0
15
2
R3*
63
1
155
154
9
22
34
6
0
0
18
7
17
15
R4
10
35
8
52
50
54
15
14
11
42
8
0
33
5
R5
3
1
0
48
82
54
21
16
0
31
8
58
5
25
R6
19
4
25
102
78
33
12
26
0
0
4
13
1
17
R7
11
35
9
58
59
9
3
0
51
75
11
41
0
3
R8*
3
23
31
86
84
28
6
3
21
2
2
23
9
4
R9
8
22
25
39
87
19
5
10
31
14
13
1
1
1
R10
10
2
10
47
82
8
0
5
14
3
12
1
4
1
R11
5
14
27
93
103
29
2
7
13
14
7
16
2
5
R12
27
18
141
87
17
92
28
14
32
26
1
16
14
1
R13
3
4
52
16
70
85
22
0
4
2
9
51
1
32
R14
17
11
120
67
22
103
23
12
14
19
4
11
12
4
R15*
9
0
12
4
69
47
9
0
76
5
107
121
29
2
R16
4
7
10
6
66
45
7
7
74
7
90
55
21
22
Notes: * selected postures; number is in degree (°). W= walking, S= installing the machine on the back, C= cleaning understorey, R: renewing.
R: right, L: left, F: flexion, E: extension, : Zone 0, : Zone 1, : Zone 2, : Zone 3
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
129
posture changes). This finding is in line with the study of Joshi and Deshpande (2021) that stated
the occurrence of sensitive and insensitive zones in the RULA.
Table 2: Selected postures that represent work postures in pine tapping activities using a handheld
tapping machine
Posture 1
Posture 2
Posture 3
Walking
W1
W4
W7
Installing the machine
S3
S6
S7
Cleaning understorey
C1
C2
C5
Renewing the tapping
face
R3
R8
R15
Notes: W= walking, S= installing the machine on the back, C= cleaning understorey, R: renewing.
The difference in other readings was in posture C1. The lowest risk level resulted from the
OWAS reading (no action required), followed by REBA (medium risk). However, RULA gives a
risk level reading of “very high risk” on the right body, which based on the RoM analysis results
is in zone 3 (extreme extension) on the right shoulder.
OWAS’s insensitivity to upper body movement is also evident in the R3 posture reading.
Owas identified the posture of standing upright with both hands in the flexion position with angles
of 155 and 154 degrees (Table 1 and Table 2) as no risk (no action required). The insensitivity of
OWAS has been a concern, and the findings of this study were in line with the previous study
carried out by Hellig et al. (2019), although in this study, Hellig et al. also found that OWAS had
a stronger correlation with biomechanics measures, including the L5/S1 compressive forces. In
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
130
contrast to the OWAS results, the REBA and RULA readings classified this position as high-risk
(REBA) and extremely high-risk (RULA). As evidenced by the R8 assessment results, OWAS
demonstrated a high degree of sensitivity when evaluating postures involving severe trunk
extension (Tables 1 and 2). These measurements are comparable to those of RULA (right and left
torso) and REBA (left torso) (Table 1). In the reading of the right side of the body’s risk level, the
REBA score indicated a moderate-risk posture. This is because REBA believes the angle generated
by the right upper arm is not excessive.
Table 3. Angles at various body segments in selected postures
Posture 1
Posture 2
Posture 3
Walking
W1
W4
W7
Installing the
machine
S3
S6
S7
Cleaning
understorey
C1
C2
C5
Renewing the
tapping face
R3
R8
R15
Notes: W= walking, S= installing the machine on the back, C= cleaning understorey, R: renewing.
This study confirmed that RULA has a higher measuring sensitivity than REBA and OWAS.
RULA is more sensitive than OWAS, as demonstrated by its readings at W1, W4, W7, S3, S6, S7,
C1, C2, C5, R3, R8, and R15. This result validated the previous results of Nver-Okan et al. (2017)
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
131
and Yayli and Çalişkan (2019). Further, the S6, C1, R3, and R8 results demonstrate that RULA is
more sensitive than REBA. This finding validated the research undertaken by Kee (2022).
Table 4. Final scores on REBA, RULA, and OWAS analysis of selected postures
Task
Instrument
Posture 1*
Posture 2
Posture 3
Walking
W1
W4
W7
REBA
R = 4
L = 4
R = 3
L = 6
R = 4
L = 6
RULA
R = 6
L = 6
R = 5
L = 5
R = 6
L = 6
OWAS
1
1
1
Installing the machine
S3
S6
S7
REBA
R = 4
L = 4
R = 8
L = 4
R = 5
L = 6
RULA
R = 4
L = 4
R = 7
L = 7
R = 6
L = 6
OWAS
1
1
2
Clearing understorey
C1
C2
C5
REBA
R = 4
L = 4
R = 4
L = 4
R = 3
L = 4
RULA
R = 7
L = 6
R = 6
L = 6
R = 6
L = 6
OWAS
1
2
1
Rewounding
R3
R8
R15
REBA
R = 8
L = 8
R = 6
L = 8
R = 4
L = 4
RULA
R = 7
L = 7
R = 7
L = 7
R = 5
L = 5
OWAS
1
3
1
REBA color coding**:
1
Acceptable posture
2-3
Low risk
4-7
Medium risk
8-10
High risk
11-15
Very high risk
RULA color coding**:
1
Acceptable posture
3-4
Low risk
5-6
Medium risk
6+
Very high risk
OWAS color coding**:
1
No action required
2
Corrective actions required in the near future
3
Corrective actions should be done as soon as possible
4
Corrective action for improvement required immediately
Notes: *R = right, L = left. **Colors were chosen only to facilitate the reading of the table and were determined based on the
researcher’s interpretation of the level of the need for change/improvement. W= walking, S= installing the machine on the back,
C= cleaning understorey, R: renewing.
Regardless of the differences in risk level readings across the three instruments, it can be
inferred that renewing the tapping face is a work element that demands a greater degree of physical
disruption than other postures. Given that renewing is an element of work that is present in every
cycle, renewing tapping face postures requires improvement. Therefore, ergonomic measures are
required to lower the risk of WMSD associated with high-risk work positions.
Workplace and job characteristics, as well as whether the investigation is theoretical or
practical in nature, influence the selection of methods employed to assess the potential for WMSDs
(David 2005; Li and Buckle 1999). OSHA advises hazard control strategies for preventing
WMSDs, and among them are the engineering control (e.g., design of work stations, work
procedures, and tools) and the administrative/management approach (e.g., work management and
organization) (OSHA 2022). The concept is to minimize the angle of body segments as underlined
by Niebel and Freivalds (1999) as one method for reducing the likelihood of WMSDs. The
engineering control can be accomplished by designing tools that enable workers/tappers to work
in neutral positions, e.g., lowering the degree of the arm, neck, and trunk muscle movements.
Extreme movement (in both flexion and extension) in certain body segments can be reduced by
determining the maximum height of tapping faces that may still be reached without difficulty. In
situations when high renewing points cannot be avoided (e.g., due to the pursuit of production
goals), extreme flexion and extension can be avoided by keeping workers in an upright position
Yovi et al. (2023) Jurnal Sylva Lestari 11(1): 123-135
132
with low neck extension and minimal upper arm flexion. Providing steps or limiting the height of
the tapping faces are also appropriate strategies in the domain of engineering control.
As indicated earlier, the REBA, RULA, and OWAS assessments exclude other elements that
must be addressed when measuring the improvement of work posture in tapping activities utilizing
handheld tapping machines. These factors include: exertion frequency per cycle, load (Hasegawa
et al. 2018), recommended weight limit (RWL) (Yovi and Awaliyah 2021), compression and shear
forces acting on the lower back (Yovi and Awaliyah 2021), the amount of energy expended while
performing work, vibration and noise exposure received by the tappers (Malinowska-Borowska et
al. 2012; Yovi and Suryaningsih 2011), and other external physical factors (e.g., air temperature
and humidity) (Kjellstrom et al. 2016; Oppermann et al. 2021).
In this study, the handheld tapping machine weighed 14 kg, which increased the risk of
WMSDs. Long-term exposure of the body to heavy weights causes intense compression and shear
pressures that might harm the lower back (Yovi and Awaliyah 2021). In addition, the repeat of the
motion required to install the machine in the back of the tappers must be diminished. Frequent
problems with the machine necessitate that tappers periodically remove the unit to start it up or
make repairs and then reinstall it. If the machine does not turn off frequently, then the work element
of installing the machine in the back does not need to be performed frequently, and the tapper does
not need to be exposed to a very high-risk level (Table 4). This excessive muscular action may
result in low back pain (Yovi and Awaliyah 2021), which can negatively impact worker
productivity (Dutmer et al. 2019; Karwowski and Marras 2003) and quality of life (Husky et al.
2018; Kahraman et al. 2016). Efforts that can be made to lessen the risk caused by the load
(machine’s weight) include decreasing the machine’s weight to the limit that workers can tolerate
based on their work activities. This limit, also known as RWL, must be calculated in the subsequent
investigation.
4. Conclusions
This study demonstrates that tapping pine with a handheld tapping machine poses health
risks to workers. It was discovered that the risk of WMSDs was greatest during the process of
renewing tapping faces. In the postural analysis of pine tapping work using a handheld tapping
machine, RULA has the highest level of sensitivity when compared to RoM, REBA, and OWAS.
OWAS is the most insensitive of the four instruments. A risk assessment of WMSDs using only
one type of instrument may produce inaccurate results due to the varying sensitivities of the various
instruments.
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