Makrozoobenthos Community as Bioindicator in River Belawan
Mayang Sari Yeanny*
1
and Ternala Alexander Barus
1
1
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Sumatera Utara, Indonesia, , Jl.
Bioteknologi No.1 Padang Bulan, Medan, North Sumatera, Indonesia 20155, Telephone 062-61-8211050, 062-61-
Keywords: Makrozoobenthos, Bioindicator, Belawan River.
Abstract: Belawan River is very important for the residents of Medan and its surroundings. It serves as the main raw
material for the local drinking water company, as well domestic, industrial, hotel and tourism. Many human
activities had led to the declining condition of water in the river throughout the year. One way to approach
the concept of bioindicator is by knowing Density, Relative Density, Frequency of Attendance, equitability,
and diversity of the Makrozoobenthos itself. Results indicated that the Makrozoobenthos community were
from 9 genera. Makrozoobenthos individual density was around 3,703 to 629,62 ind/m2. The diversity index
was around 0 to 0,69, which is considered to have low to high pollution level. Equitability Index was
approaching 0, with relatively high domination from Polymesoda erosa. The water quality that influences the
diversity of Makrozoobenthos as bioindicator was light penetrationThe abstract should summarize the
contents of the paper and should contain at least 70 and at most 200 words. It should be set in 9-point font
size, justified and should have a hanging indent of 2-centimenter. There should be a space before of 12-point
and after of 30-point.
1 INTRODUCTION
Belawan River is an important river for the people of
Medan and its surroundings. Its flow passes through
human residence, industries, PLTU, PDAM and
aquaculture. With those activities around, waste
water is often directly discharged into the water body,
and thus can cause a negative impact to the aquatic
environment. The utilization of the river itself as a
waste water disposal site can cause changes in
environmental factors that will be bad for the life of
its biota. The quality change in water can greatly
affect the life of the biota living in it.(Yeanny, 2018)
Biota in Belawan River, such as makrozoobenthos,
can be used as environmental bioindicator. By this
nature, environmental changes can heavily affect the
density and diversity of aquatic biota. This Density
and diversity itself is highly dependent on their
tolerance and sensitivity to environmental change.
(Rudiyanti, 2009)
The aquatic organisms such as makrozoobenthos
as a water bioindicator has several advantages, such
as (1) providing relevant information of existing
water quality conditions and can be done in an easy
and relatively short time; (2) provide important
information, not only on pollution caused by waste
water in aquatic environment, but also to complete the
special factor, that is, the change of organism's life
structure as a result of the existence of various
organisms in the water; (3) provides an overview of
self purification in anaerobic or aerobic
circumstances and may recognize toxic effects on the
structure of the existing organisms; And (4) provide
an overview of the state of water quality over a
relatively long period of time, despite periodic
changes. Thus, it is necessary to conduct a research
entitled makrozoobenthos community as
bioindicator in belawan river.
This study aims to see the makrozoobenthos
community as a bioindicator of the quality of belawan
river waters with various approaches, namely:
(a) to know the structure of the makrozoobenthos
community includeing density, diversity, equitability
and dominance of makrozoobenthos .
(b) to know the water pollution by using
makrozoobenthos as bioindicator.
(c) the relationship between makrozoobenthos and
water quality.
Yeanny, M. and Barus, T.
Makrozoobenthos Community as Bioindicator in River Belawan.
DOI: 10.5220/0010094810211026
In Proceedings of the International Conference of Science, Technology, Engineering, Environmental and Ramification Researches (ICOSTEERR 2018) - Research in Industry 4.0, pages
1021-1026
ISBN: 978-989-758-449-7
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
1021
2 RESEARCH METHODS
2.1 Materials and Method
The Research was conducted in Maret – Oktober
2018. Five sample locations were picked based on
the difference of community activities with 3
repetition, from upstream to estuary site of Belawan
river
Station
I
Salam Tani
Village, Pancur Batu
Sub-district, Deli
Serdang Distric
t
No activity/
Upstream
Control
Station
II
Sunggal kanan
Village , Sunggal
Sub-district, Deli
serdan
g
Distric
t
Habitation,
domestic
Station
III
Kampung Lalang
Village, Sunggal
Sub-district, Deli
Serdan
g
Distric
t
Market,
Hotel
Station
IV
Kelambir
Village, Hamparan
Perak Sub-district,
Deli Serdang District
.
Soy
industries, Paper
industries
Station
V
Sicanang Village,
Medan Belawan Sub-
district, Medan
Belawan City .
Downstream
(estuary)
2.2 Water Quality Sampling
From the measured water quality can be seen in the
following table:
No Water
Quality
Instruments Measurement
Location
1. Temperature Termomete
r
Insitu
2. Light
Penetration
Secchi dis
k
Insitu
3. Light
Intensity
Luxmete
r
Insitu
4. Stream
velocity
(s/m)
Stopwatch Insitu
5. Depth (m) Mete
Insitu
6.
p
H
p
Hmete
r
Insitu
7. DO Winkler
metho
d
Insitu
8. BOD Winkle
r
incubation
metho
d
Laboratory
2.3 Benthic Sample Collection
Makrozoobenthos samples was taken from five (5)
determined location based on the local community
activities from upstream to downstream. Purposive
random sampling method was used in order to collect
the makrozoobenthos samples. Subsequently, sample
collection was conducted using suber net on each
sampling point. The collected makrozoobenthos
samples are then put in a plastic bag and preserved
using 4% formalin before putting label on the plastic
bag. In the laboratory, samples were cleaned from
formalin and soaked in clean water for about one day
and night, and put in a bottle containing 70 % alcohol
afterwards. Identification is then done afterwards
using identification book Edmonson (1963), Pennak
(1978), Streble and Krauter (1988).
2.4 Data Analysis
Data analysis for water quality such as
temperature, light penetration and intensity, depth,
pH, DO, BOD
5,
makrozoobenthos are done using
standard method APHA, (2005).
(1) Density (K)
(1)
K=density
a=thenumberofmakrozoobentos(individual)
b= area of plots
(2) Relative Density (KR) (2)
ni = the number of individuals of a kind
ΣN = total of all individuals
(3) Frequency of Attendance (FK)
The number of plots is occupied by a type
FK = x 100 (3)
Total number of plots
FK = 0-25. (Very rarely)
25-50. (Rarely)
50-75. (Many)
> 75. (Very much)
%100x
N
ni
KR
b
a
K
ICOSTEERR 2018 - International Conference of Science, Technology, Engineering, Environmental and Ramification Researches
1022
(4) The Shannon-Wiener Diversity Index (H ‘)
(4)
H '= Shannon-Wiener diversity index
2.5 Water Quality Relationship with
Makrozoobenthos
Water quality such as temperature, penetration of
light, light intensity, flow rate, Depth, pH, DO, BOD,
COD were statistically tested and analyzed to observe
its relationship with Makrozoobenthos using SPSS
correlation analysis Ver. 22 in order to see the current
pollution level of the river.
3 RESULTS AND DISCUSSION
3.1 Water Quality of Belawan River
The result of water quality of Belawan River can be
seen on the table 1 below. Table 1 that the water
temperature in the five stations ranges from 27-30
0
C, with the highest temperature at station V which
estuary with overall the temperature is relatively the
same. Light penetration was ranged from 3,31 – 6,11
m with the highest light penetration on station II,
which was caused by the open area of station II (less
plants were grown), make the light easier to penetrate
into water body. Light intensity was ranging from 320
870 Candela with the highest on station I. This is
caused by the light ability to be absorbed was
relatively high.
Flow velocity was ranged from 0,9 – 1,4 s/m with the
highest on stasion V, the flow velocity is relatively
the same. pH was ranging from 6.6 7.6 with the
highest pH on station V (downstream). Dissolved
oxygen (DO) was ranging from 3,8 – 5,3 mg / L with
the highest on station I, which was caused by the
environmental condition that supports photosynthesis
which provides much oxygen in the water body.
Biological Oxygen Demand (BOD5) was ranging
from 1,3 4,0 mg/L with the highest BOD5 at station
III which was a highly populated residential area that
produced domestic waste in the form of organic
materials in which the oxygen in the water was used
by microorganisms to decompose the organic
material.
S
i
pipiH
1
ln'
Table 1: Water Quality in Belawan River.
N
o
Para
meter
Station
I
Station
II
Station
III
Station IV Station
V
1
.
Temp
erature (
o
C)
27 28 28 28 30
2
.
Light
Penetration
(m)
3,31 6,11 4,26 4,35 5,35
3
.
Light
Intensity
(Cd)
870 330 260 320 510
4
.
Flow
velocity
(s/m)
2,7 5,9 1,7 1,6 3,6
5
.
Depth
(m)
0,9 1,1 1,2 1,1 1,4
6
.
pH 4,0 3,0 4,0 4,0 7,6
7
.
DO
(mg/L)
5,3 4,4 3,8 3,8 5,2
8
.
BOD
5
(mg/L)
2,2 2,3 1,3 2,6 4,0
Makrozoobenthos Community as Bioindicator in River Belawan
1023
Table 2: Density Value (K) (ind / m2), Relative Density (KR) (%) and Frequency of Attendance (FK) (%) Makrozoobenthos
at Belawan River at Station I and II.
No. Genera Stasiun I Stasiun II
K
(ind/m
2
)
KR
(%)
FK
(%)
K
(ind/m
2
)
KR
(%)
FK
(%)
1. Paguroide - - - - - -
2. Scylla sp - - - - - -
3. Macrobrachium
sp
- - - 3,703 2,22 33,33
4. Hirudo - - - - - -
5. Baetidae 25,92 25,92 66,67 - - -
6. Polymesoda erosa - - - - - -
7. Gerris remigis 70,37 70,37 100 159,25 95.55 100
8. Fillopaludina
javanica
- - - - - -
9. Melanoides sp 3,703 3,70 33,33 3,703 2,22 33,33
Jumlah 99,993 100 166,656 100
Table 3: Density Value (K) (ind / m2), Relative Density (Cr) (%) and Frequency of Attendance (Fk) (%) Makrozoobenthos
at Belawan River at Station III, IV and V.
No. Genera
Stasiun III Stasiun IV Stasiun V
K
(ind/m
2
) KR (%) FK (%)
K
(ind/m
2
)
KR (%) FK
(%)
K
(ind/m
2
)
KR
(%)
FK
(%)
1. Paguroide - - - - - - 140,74 97,43 100
2. Scylla sp - - - - - - 3,703 2,5 33,3
3
3. Macrobrachium
sp
- - - - - - - - -
4. Hirudo - - - 3,703 0,57 33,33 - - -
5. Baetidae - - - - - - - - -
6. Polymesoda
erosa
- - - 629,62 98,26 100 - - -
7. Gerris remigis - - - - - - - - -
8. Fillopaludina
javanica
18,51 100 66,67 - - - - - -
9. Melanoides sp - - - 7,407 1,15 33,33 - - -
Jumlah 18,51 100 640,73 100 144,44
3
100
3.2 Density Value (K) (ind / m2),
Relative Density (Cr) (%) and
Frequency of Attendance (Fk) (%)
Makrozoobenthos in Belawan River
Results of the Density Value (K) (ind / m2), Relative
Density (Cr) (%) and Frequency of Attendance (Fk)
(%) Makrozoobenthos in Belawan River are shown in
Table 2 and 3.
Table 2 and 3 that Polymesoda erosa at station IV
were found to have the highest density value, relative
density and attendance frequency with 629,62 ind /
m
2
(K), 98,26 (KR) and 100% (FK), while the lowest
were found in genera Melanoides Sp at Station I,
Macrobrachium sp dan Melanoides Sp (Station II) ,
Hirudo (Station IV), and Scylla sp (Station V) with
density
value of 3,703 ind/m
2
ICOSTEERR 2018 - International Conference of Science, Technology, Engineering, Environmental and Ramification Researches
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3.3 Value of Diversity (H’) and
Equitability (E) in Belawan River
The research conducted, the value of diversity (H’)
and equitability (E) in Belawan river were as follows:
Table 4: Diversity Values (H') and Equitability of
makrozoobenthos (E) in Belawan river
St I St
II
St
III
St
IV
St
V
0.69 0,18 0 0,07 0,09
0,63 0,16 0 0,06 0,13
Table 4 that the highest value of diversity (H’)
was found from station I, with 0,69 while the lowest
was from station III with 0. The diversity of
makrozoobenthos in the 5 stations was low.
According to Kreb (1985), low diversity is when 0 <
(H’) <2,302, medium diversity is when 2,302 < (H’)
<6.907, and high diversity is when (H’)> 6.907. The
diversity value of stations 1 - 5 classified as heavily
polluted. The water in the river is said to be heavily
polluted if (H’) <1, moderately polluted if (H’) is
between 1.0 to 1, 5, while lightly contaminated when
(H’)> 2.0. The equitability (E) value ranges from 0 to
0.63 with the highest equitability found at station I,
with the lowest at station III. According to Kreb
(1985) the uniformity value (E) ranges from 0 to 1,
where value close to 0 means that equitability is low
due to the dominant species like Polymesoda erosa.
This means the number of individuals on the type is
not equally and evenly distributed. (Krebs, 1985)
3.4 Correlation Analysis Value
Correlation value was obtained based on the
measurement of the water quality parameters
correlated with the value of diversity (Shannon-
Wiener Diversity) as in Table 5 below:
Table 5: The Correlated Analysis Value obtained between
water quality parameters and Makrozoobenthos diversity
N
o Parameters Diversity (H’)
1. Temperature (
o
C) -0,588
2. Light Penetration (cm) +0,967
3. Light Intensity (Cd) -0,539
4. Flow Rate (sec / m) +0,202
5. Depth -0,753
6.
p
H -0,198
7. DO (mg/L) +0,677
8. BOD
5
(m
g
/L) -0,074
From Table 5 it can be seen that Light Penetration
affects the diversity of makrozoobenthos as
bioindicator. The obtained Light Penetration during
the study ranged from 331 to 661 m, this value of was
far from the needs of aquatic organisms and partly
enough to support the needs of makrozoobenthos.
Rudiyanti (2009) in which means that Light
Penetration has a very strong relationship to the
diversity of makrozoobenthos.
4 CONCLUSION
The research conducted on the makrozoobenthos
community as bioindicator in river Belawan, it can be
concluded that:
Makrozoobenthos obtained as many as 9
genera.The highest density of makrozoobenthos was
in the genera of Polymesoda erosa with density value
of 629,62 ind / m2 (K) at station V. The highest value
of diversity (H’) at station I is 0,69 and the lowest at
station III is 0. The diversity of Makrozoobenthos in
5 stations was relatively low. The highest equitability
(E) value was at station I is 0.69 and the lowest was
at station III with 0. The overall equitability was low.
The level of pollution based on the value of I-V
station diversity was classified as lightly polluted.
Makrozoobenthos dominating the observed area of
study was Polymesoda erosa. The water quality that
influences the diversity of makrozobentos as
bioindicator was light penetration.
ACKNOWLEDGEMENTS
This research can be successfully conducted with the
assistance and contribution from many parties. The
author acknowledges the parties contributed in this
research, particularly on the research program non
PNBP USU 2018 which funded this research.
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