Application of Geographic Information System for the Identification

of Flood and Landslide Mitigation in Badeng Watershed

Zulis Erwanto

and Dewi Aras Pratiwi

Department of Civil Engineering, Politeknik Negeri Banyuwangi, Jl. Raya Jember Km 13 Kabat, Banyuwangi, Indonesia

Study Program of Civil Engineering, Politeknik Negeri Banyuwangi, Jl. Raya Jember Km 13 Kabat, Banyuwangi,

Indonesia

Keywords: Badeng Watershed, Flood, Geographic Information Systems, Landslide, Mitigation.

Abstract: Badeng River is the path of the Mount Pendil catchment area which can potentially bring avalanche material

and runoff water from upstream to downstream so that it can cause floods and even flash floods. The mapping

of flood and landslide-prone areas in the Badeng Watershed is non-structural disaster control. The research

objective is the identification of disaster mitigation in areas prone to flooding and landslide-prone areas in the

Badeng Watershed with Geographic Information Systems. The study was conducted using descriptive

methods consisting of surveys and map overlays, while the identification of flood-prone and landslide-prone

areas using a scoring method by weighting refers to the formula of flood and landslide susceptibility. The

results showed that the flood water supply area of Badeng watershed with 32.2% prone conditions was found

in the villages of Desa Sumber Arum, Sumber Bulu, Sumber Baru, Songgon, Parang Harjo, Bedewang,

Kemiri, Benelan Kidul, Bubuk, Cantuk, Gintangan, Singojuruh, Alas Malang, Bayu, and Gladag. For areas

prone to flooding with very prone conditions 28.43% was found in the villages of Sumber Arum and Bayu,

and landslide susceptibility areas with moderately vulnerable conditions 2.7% was in the villages of Sumber

Arum, Songgon, Bayu, and Sumberbulu. Disaster mitigation was recommended upstream in the form of

vegetation conservation and mechanical conservation buildings and downstream in the form of river dredging

and flood awareness training for communities in vulnerable areas.

1 INTRODUCTION

Natural disasters are one of the phenomena that can

occur at anytime, anywhere, and anytime, causing

risks or dangers to human life, both property losses

and human lives (Faizana et al., 2015). Therefore, the

role of disaster mitigation is needed to reduce the

impact of disasters that occur. In-Law Number 24 of

2007 concerning Disaster Management which is

published on the official website of the National

Disaster Management Agency states that a disaster is

an event or series of events that threaten and disrupt

people's lives and livelihoods caused by both natural

factors and non-natural factors and human factors

resulting in human casualties, environmental damage,

property losses, and psychological impacts (BNPB,

2007).

The Banyuwangi flash flood in 2018 in Alas

Malang was one of the many natural disasters that

https://orcid.org/0000-0001-7938-9116

caused losses. This flash flood was caused by

weathering of material on the slopes of Mount Pendil,

which flows with a current to the Badeng River.

Badeng River is the Mount Pendil catchment area and

flows up to Alas Malang. Flash floods can be

destructive. The flow of water currents that are not

too deep but are fast and turbulent (turbulent) brings

subtle soil material and drag material in the form of

more massive rocks to cause damage.

Geographic Information Systems (GIS) can

provide geospatial data such as objects on the surface

of the earth quickly while providing an accurate

spatial analysis system. So, mitigation efforts can be

made to prevent the risk of potential disasters or

reduce the effects of disasters.

This Geographic Information System has been

widely used for similar research purposes, such as

research from, Faizana

(2015); Todingan et al.,

(2015); Susanti

(2016); Novialiadi

(2016); Hendi

1184

Erwanto, Z. and Pratiwi, D.

Application of Geographic Information System for the Identiﬁcation of Flood and Landslide Mitigation in Badeng Watershed.

DOI: 10.5220/0010962200003260

In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science (iCAST-ES 2021), pages 1184-1193

ISBN: 978-989-758-615-6; ISSN: 2975-8246

 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

(2014); Erwanto

et al., (2020); Erwanto and Lestari

(2020); and also Erwanto et al., (2021). Therefore,

this research is a mitigation effort that produces maps

of flood and landslide disaster-prone and

recommendations for disaster risk reduction.

1.1 Problems

How to identify disaster mitigation in flood-prone

areas and landslide-prone areas in the Badeng

Watershed with Geographic Information System?

1.2 Research Purpose

The research objective is to identify disaster

mitigation in flood-prone areas and landslide-prone

areas in the Badeng Watershed with Geographic

Information System.

2 THEORETICAL BASIS

2.1 Disaster Mitigation

Disaster mitigation is an effort to reduce the impact

of disasters, whether natural disasters, human-made

disasters, or a combination of both in a country or

society. Disaster mitigation identification is useful for

determining mitigation policies that will be used in

vulnerable areas. The identification method used is

scoring and layering in the Geographic Information

System (GIS) software by processing spatial data and

attribute data. Analysis of landslide and flood hazards

based on the scoring method

(Paimin et al., 2009).

2.2 Flood Prone Areas

The identification of flood hazard is divided between

the identification of areas prone to flooding (flooding)

and areas of flood water supply or potential

floodwater (Paimin et al., 2009). It is vital to facilitate

the way of identifying sources of disaster

systematically so that effective and efficient control

techniques are obtained. Characterization of flood-

prone areas is done by giving a score of each

parameter on the digital map unit. Scoring in potential

areas of flood water supply can be seen in Table 1 and

scoring in areas prone to flooding in Table 2 (Paimin

et al., 2009).

Table 1: Formula of Flood Water Supply Potential.

No.

Parameters /

Wei

hts

Classification Category Score

NATURAL 60%

a. Average

Rainfall (mm /

year) (35%)

< 20 m

Low 1

21-40 m

A Bit Low 2

42-75 m

Moderate 3

76-150 m

A Bit Hi

h 4

> 150 m

h 5

b. Watershed

Form (5%)

Oval Low 1

A Little Oval A Bit Low 2

Moderate Moderate 3

Sli

htl

Roun

A Bit Hi

h 4

Roun

h 5

c. River

Gradient

(10%)

<0,5 % Low 1

0,5-10 % A Bit Low 2

1,1-1,5 % Moderate 3

1,6-2,0 % A Bit High 4

> 2,0 % Hi

h 5

d. Drainage

Density (5%)

Rarely Low 1

A Bit S

arse A Bit Low 2

Moderate Moderate 3

A Bit Ti

ht A Bit Hi

h 4

Tightly High 5

e. Watershed

Mean Slope

(5%)

< 8 % Low 1

8-15% A Bit Low 2

16-25 % Moderate 3

26-45% A Bit High 4

>45% Hi

h 5

MANAGEMENT 40 %

a. Land Use Protection /

Conservation Forest

Low

Production Forest /

Plantation

A Bit Low

Yard / Bush / Scrub Moderate 3

Rice Fields / Moor-

Terracin

A Bit High

Moor / Settlement-

City

High

Table 2: Formula of Potential for Flood-Prone Areas.

No.

Parameters /

Wei

hts

Classification Category Score

NATURAL 55%

a. Land Form (30%) Mountains, Hills Low 1

Fan and Lava A Bit Low 2

Plains, terraces Moderate 3

Plains, Terraces

(

Slo

es <2%

)

A Bit High 4

Alluvial Plains,

Alluvial Valleys,

Bend Paths

High 5

b. River Slope Left

and Right (10%)

> 8 (Very smooth) Low

2 - 8 (Somewhat

smoothly)

Moderate 3

< 2

(

Ham

ered

)

h 5

c. Meandering

Sinusity (P) =

Length of river

distance according

to curve / straight

distance

(

)

1.0

–

1.1 Low 1

1.2

–

1.4 A Bit Low 2

1.5

–

1.6 Moderate 3

1.7

–

2.0 A Bit Hi

h 4

> 2.0 High 5

Dams By

Branching Rivers /

Tides (10%)

None Low

Branches of the

main rive

A Bit Low 2

Branch of the main

rive

A Bit Low 3

Main river /

Bottlenec

Moderate 4

Tide A Bit High 5

Application of Geographic Information System for the Identiﬁcation of Flood and Landslide Mitigation in Badeng Watershed

1185

Table 2: Formula of Potential for Flood-Prone Areas(Cont.).

No.

Parameters /

Wei

hts

Classification Category Score

MANAGEMENT 45 %

a. Irrigation

Buildings

Reservoir +

Embankment

High and Goo

Low 1

Reservoir

A Bit

Low

Dike / Corner /

Flood Canal

Moderate 3

New Embankment A Bit

High

Without buildings,

shrinkage of river

dimensions

High 5

The flood hazard level is analyzed with each

parameter and is weighted according to field

conditions and classified in five levels of

vulnerability, including vulnerable, vulnerable,

somewhat vulnerable, slightly vulnerable, and not

vulnerable.

2.3 Landslide Vulnerable Areas

The potential for landslides to occur on slopes

depends on the condition of the rock and soil

preparation, geological structure, rainfall, and land

use. Characterization of landslide-prone areas is done

by giving a score on each parameter on the digital

map unit by field conditions

(Paimin et al., 2009).

Scoring in landslide-prone areas can be seen in Table

Table 3: Formula of Landslide-Prone Area Potential.

No.

Parameters /

Weights

Classification Category Score

NATURAL (60%)

a. Average Rainfall

(mm / year) (25%)

<50 m

Low 1

50-90 m

A Bit Low 2

100-199 m

Moderate 3

200-300 m

A Bit Hi

> 300 m

b. Slope (%) (15%) < 25 % Low 1

25-44 % A Bit Low 2

45-64 % Moderate 3

65-85 % A Bit Hi

> 85 % Hi

c. Geology (Rock)

(10%)

Alluvial

lains Low 1

Limestone hills A Bit Low 2

Granite hills Moderate 3

Sedimentary rock

hill

A Bit High 4

Basalt hill - Clay

flakes

High 5

d. The presence of

faults / gawirs (5%)

None Low 1

Exist Hi

e. Soil Depth to

Impermeable

Layer (cm) (5%)

< 30 c

Low 1

30-60 c

Moderate 2

60-90 c

A Bit Hi

> 90 c

High 5

MANAGEMENT (40%)

a. Land Use (20%) Natural forests Low 1

Shrub/Shrub/Grass A Bit Low 2

No.

Parameters /

Wei

hts

Classification Category Score

Forests/Plantations Moderate 3

Moor/Yar

A Bit Hi

h 4

Rice Fields/

Settlements

High 5

b. Infrastructure

(If Slope <25% =

score 1) (15%)

No Wa

Low 1

Cutting the

slopes/Clipped

slo

High 5

c. Settlement

density (people/

km²)

(If Slope <25% =

score 1) (5%)

< 2000 Low 1

2000

–

5000 A Bit Low 2

5000

–

10000 Moderate 3

10000

–

15000 A Bit Hi

h 4

> 15000 Hi

h 5

The level of landslide vulnerability is analyzed

with each parameter and is weighted according to

field conditions and classified into five levels of

vulnerability, including very vulnerable, vulnerable,

somewhat vulnerable, slightly vulnerable, and not

vulnerable.

3 METHODOLOGY

3.1 Data Collection

Primary data in the form of field survey results and

coordinates of flood-prone and landslide-prone areas

in the study area and secondary data in the form of

spatial data are digital map data obtained from the

Regional Development Planning Agency of

Banyuwangi Regency.

3.2 Step Work

1) Identification of Flood Prone Areas. Flood

vulnerability identification was carried out to

determine areas or areas that may be affected by

flooding due to the overflow of the Badeng

watershed. Identification of flood hazard is

divided between the identification of flood-prone

areas (flooded) and areas of flood water supply or

potential floodwater using scoring methods by

processing spatial database maps on Geographic

Information Systems.

2) Identification of Landslide Vulnerable Areas. The

identification of landslides was carried out to

determine areas where landslides are possible

identification using the scoring method by

processing spatial data on Geographic

Information Systems.

3) Making Map of Flood and Landslide Prone Using

GIS. Making a map of flood-prone and landslide-

prone was an effort to identify non-structural

mitigation, which was done by overlaying a basic

map to model flood-prone and landslide-prone

iCAST-ES 2021 - International Conference on Applied Science and Technology on Engineering Science

1186

areas in the Badeng watershed. This overlay used

the Geographic Information System application

by utilizing secondary data. The result of this

overlay was a map of flood-prone and landslide-

prone used as a reference for field analysis or field

survey in the data validation process.

3.3 Flowchart

The research flowchart starts with the study of

literature and secondary data collection in the form of

digital maps to be used at the scoring stage of flood

hazard and landslide susceptibility parameters with

the help of GIS to be weighted to the database each

digital map. Scoring was based on a formula prone to

flooding and prone to landslides

(Paimin et al., 2009).

Then do a digital map overlay to make the location of

flood-prone areas and landslides vulnerable to

Badeng Watershed. The research flowchart could be

seen in Figure 1.

Figure 1: Flowchart of Research.

4 RESULT AND DISCUSSION

4.1 Rainfall

The intensity and distribution of the rain distribution

determine the potential points of areas prone to

flooding and landslides. Rainfall condition factors in

Table 4, such as the intensity and distribution of

rainfall distribution, determine the level of flood

vulnerability and landslide susceptibility of the

Badeng Watershed.

Table 4: Score of Rainfall Intensity Vulnerability.

Rainfall

(mm/

year)

Flood Water Supply Area Landslide-Prone Areas

Area

(Km

)

Area

Score

Level of

Vulnerability

Score

Vulnerable

Level

94 4

A Bit High

3 Moderate 10.459 19.967

90 4

A Bit High

Moderate

41.036 78.338

95 4

A Bit High

Moderate

0.887 1.694

Rainfall in the Badeng Watershed in Table 4

shows the intensity of daily rainfall in the wet month

is 90-95 mm / day.

4.2 Slope

The steeper the slope, the slope will experience

enormous load pressure, making it unstable to

withstand loads above it from the influence of gravity.

The slope of the watershed affects the amount and

time of flow to reach the outlet. The slope scoring in

the Badeng Watershed is shown in Table 5.

Table 5: Scoring of Slope Vulnerability.

Slope

(%)

Flood Water Supply

Area

Landslide-Prone

Areas

Area

(Km

)

Area

Score

Level of

Vulnerability

Score

Vulnerable

Level

0 – 2 1 Low 1 Low 2.974 5.678

2 – 8 1 Low 1 Low 23.69 45.240

8 – 15 2

A Bit Low

Low

6.914 13.199

15 – 25 3 Moderate 1 Low 7.977 15.229

25 – 40 4

A Bit Hi

A Bit Low

4.109 7.844

> 40 5 Hi

h 3 Moderate 6.708 12.806

The slope in the study area is spread and varies

from flat slope to steep slope. The vulnerability score

on slope <25% is one because it is classified as a

gentle slope so that the level of landslide vulnerability

is low.

4.3 River Gradients

River gradients are calculated using the Benson

method (1962). The river gradient formula (α) is as

follows:

Start

Literature Studies

Data Collectio

Landslide Vulnerability

Scoring

Flood Hazard Scoring

Making Flood and Landslide

Hazard Maps Using GIS

Disaster Miti

ation Polic

Finis

Landslide Prone

Identification

1. Digital Map of Soil

Depth

2. Digital Map of Land

Use

3. Digital Map of Slope

4. Digital Map of

Infrastructure

5. Digital Map of

Rainfall

6. Digital Map of

Population Density

7. Digital Map of

Geomorphological

8. Digital Map of

Geological

9. Digital Map of

Erosion

Flood Prone

Identification

1. Digital Map of River

Network

2. Digital Map of

Rainfall

3. Digital Map of

Watershed

4. Digital Map of Slope

5. Digital Map of Land

Use

6. Digital Map of

Morphology

Primary Data

Coordinate

Points for

Flood-Prone

and Landslide-

Prone Areas

Application of Geographic Information System for the Identiﬁcation of Flood and Landslide Mitigation in Badeng Watershed

1187

=

ℎ85 − ℎ10

0,75

100%

With,

Lb = Main River Length (m)

h10 = River length at 0.1 Lb

ℎ85 = River length at 0.85 Lb

Where Lb is obtained from the length of the main

river in Badeng River, which is 35744.822 m. Then

to look for values and are as follows:

1. Find the length of the river at 0,1 (ℎ10)

ℎ10 = 0,1

ℎ10 = 0,135744,822



ℎ10 = 3574,4822



2. Find the length of the river at 0,85Lb (ℎ85)

ℎ85 = 0,85



ℎ85 = 0,8535744,822



ℎ85 = 30383,987



3. Calculate the river gradient (α)

=

ℎ85 − ℎ10

0,75

100%



=

30383,987 − 3574,4822

(0,7535744,822)

100%



=1%



The river gradient value obtained is 1%, then the

river gradient category is rather low, with a score of

4.4 Morphology

The land shape is an essential aspect in identifying

areas prone to flooding because of the flatter the

shape of the land in an area, the higher the potential

for surface runoff that can cause flooding the scoring

vulnerability of landforms in the Badeng watershed in

Table 6.

Table 6: Scoring of Land-Shaped Vulnerability.

Morphology Score

Level of

Vulnerabilit

Area

(Km

)

Area

Mountainous 1 Low 6.708 12.806

Flat 4 A Bit Hi

h 2.974 5.678

Wav

5 Hi

h 7.977 15.229

Slo

3 Moderate 23.697 45.240

Hill

1 Low 4.109 7.844

Cho

ppy

5 Hi

h 6.914 13.199

In Table 6, the shape of the land is spread out and

varies from flat to mountainous.

4.5 Land Use

In general, the role of land cover can trigger floods

and landslides and depend on the management

aspects. Scoring of land use vulnerability in Badeng

watershed in Table 7.

Table 7: Scoring of Land Use Vulnerability.

Land Use

Flood Water Supply

Area

Landslide-Prone

Areas

Area

(Km

)

Area

Score Level Score Level

Forest 1 Low 1 Low 32.34 61.758

Rice fields 4 A Bit Hi

h5 Hi

h 13.68 26.126

Plantation 2 A Bit Low 3 Moderate 1.922 3.669

Garden 3 Moderate 3 Moderate 1.257 2.401

Settlement 5 Hi

h5 Hi

h 2.438 4.655

Inland waters 4 A Bit Hi

h 0 Low 0.171 0.327

Avalanche 5 Hi

h5 Hi

h 0.557 1.064

The most significant land use in the Badeng

Watershed is forest, with an area of 61.8%. Land use

in the form of forests can relatively maintain land

stability because of the root system that maintains

compactness between soil particles, soil particles with

bedrock, and can regulate water runoff.

4.6 Population Density

From the Banyuwangi Population and Civil Registry

Office data, the density of settlements in the Badeng

Watershed can be seen as follows:

a. The population density of Songgon District

 =



ℎ

.

,





= 1135,719/



b. The population density of Singojuruh District

 =



ℎ

.

,





 = 1031,942/





c. The population density of Rogojampi District

 =



ℎ

.

,





= 1102,616/



The calculation shows that the level of landslide

vulnerability in the density parameter of settlements

in the Badeng Watershed is low because <2000

Person/Km

and the landslide vulnerability score 1.

4.7 Rock Type

Rock differences are one of the parameters causing

landslides because rocks have different porosity and

permeability. Scoring of rock type vulnerability in

Badeng watershed in Table 8.

iCAST-ES 2021 - International Conference on Applied Science and Technology on Engineering Science

1188

Table 8: Scoring of Rock Types Vulnerability.

Rock Type Score

Level of

Vulnerabilit

Area

(Km

)

Area

Kalibaru Formation 4 A Bit High 15.350 29.304

Raung Volcano Rock 5 High 12.280 23.444

Alluvium 1 Low 2.257 4.309

Pendil Volcano Rock 4 A Bit High 22.493 42.940

The most extensive distribution of rock types is

Pendil volcano rock with a large percentage of

42.94%, and the highest vulnerability category is the

type of Raung volcano rock with an area of 23.44%.

4.8 Fault/Gawirs

Areas with geological structures such as the presence

of faults or gawirs will have the potential to cause

landslides scoring of the vulnerability of faults/gawirs

in the Badeng watershed in Table 9.

Table 9: Scoring of Faults/Gawirs Vulnerability.

The Existence of Gawir Score

Level of

Vulnerability

Area

(Km

)

% Area

There is Gawir

5 High 0.557 1.064

No Gawir

1 Low 51.824 98.935

The geological structure in the Badeng Watershed

is in the form of a landslide with an area of 0.557

4.9 Soil Depth

Landslides occur due to the launching of a soil

volume on a steep slope above a water-saturated

(rain) waterproof layer. Water entering the soil cannot

penetrate the rock layers (watertight) and will flow or

spread laterally, scoring soil depth vulnerability in the

Badeng watershed in Table 10.

Table 10: Scoring of Soil Depth Vulnerability.

Soil Depth Score

Level of

Vulnerability

Area

(Km

)

Area

30 - 60 cm 1 Low 1.423 2.717

60 - 90 cm 1 Low 16.168 30.861

>90 cm 5 High 34.797 66.420

Soil depth <100 cm is a low hazard class with a

score of 1, and >90 is a high hazard class with a

landslide vulnerability score of 5.

4.10 Distribution of Potential Flood

Water Supply in Badeng

Watershed

The results of the scoring and weighting shown in

Table 11 are categorized according to the

classification of hazard classes in the new attribute

data, which is then obtained by the extent of the area's

potential as a floodwater supply area. The distribution

of areas prone to Badeng watershed flood water

supply is shown in Table 11.

Table 11: Area Prone To Flood Water Supply.

Classification Area (Km

) % Area

Prone 16.852 32.170

Moderately Prone 3.179 6.069

Less Prone 32.351 61.759

Total 52.383 100

Vulnerable classes dominate the total area and

percentage level of prone floodwater supply by

32.17%. Whereas for the smallest level of floodwater

supply is a Moderately Prone hazard class at 6.07%.

The distribution is shown in Figure 2.

Figure 2: Map of the Distribution of Areas Prone to Flood

Water Supply.

Potential prone to the floodwater supply is

concentrated in the middle to downstream areas,

including in twelve villages, namely Songgon,

Sumberbulu, Parangharjo, Sumberwaru, Bedewang,

Kemiri, Cantuk, Singojuruh, Alas Malang, Benelan

Kidul, Bubuk, and Gladag. Potentially vulnerable

areas have a slope of 0-8%, making vulnerable areas,

including sloping areas. The shape of the watershed,

which tends to be oval, makes the flow concentration

characteristic longer to reach the outlet point. The

river gradient index has a value of 1 and has a flat

riverbed slope characteristic so that the flow velocity

tends to be slow, and the majority of land use and

settlement types cause the area to have a high runoff

index. The condition of potential floodwater supply

areas in Figure 3 is in Sumberbulu Village, Songgon

District at coordinates 8

12' 29.538" S, 114

10'

10.3656" E.

Application of Geographic Information System for the Identiﬁcation of Flood and Landslide Mitigation in Badeng Watershed

1189

Figure 3: Flood in the Badeng River, Sumberbulu Village

In 2018.

Figure 3 is the fact that the area occurred by flash

floods due to high rainfall intensity and landslides on

the slopes of Mount Pendil.

4.11 Distribution of Potential Areas

Affected by Floods in Badeng

Watershed

The intersect index of natural and artificial

parameters in determining areas classified as flood

hazard classes in the Badeng Watershed. The

distribution of areas prone to flooding in the Badeng

watershed in Table 12.

Table 12: Area Prone To Flooding In The Badeng

Watershed.

Classification Area (Km

) % Area

Very Prone 14.891 28.429

Prone 26.672 50.919

Moderately Prone 10.817 20.651

Total 52.383 100

Vulnerable classes of 50.919% dominate the level

of the floodwater hazard in Table 12 in this area. The

distribution is shown in Figure 4.

Figure 4: Map of Potential Distribution of Flood-Prone

Areas in Badeng Watershed.

Figure 4 shows the results of the classification of

areas very prone to flooding in Sumber Arum Village

and Bayu Village. The condition of the vulnerable

areas on the map in the survey to prove the actual field

conditions, the results of the field survey in the Bayu

Village, Songgon District at the coordinates 8

12'

34.8948" S, 114

11' 2.1084" E. This area has a

sloping land shape with a slope of 2% - 8%,

containment by river branches is absent, and there are

no water structures such as dykes or reservoirs. The

condition of the river flow is classified as straight, and

many bends increase the distance of water to get to

the outlet causing the area to have a high runoff index.

4.12 Distribution of Vulnerable Areas of

Landslides

The results of the intersect index of natural and

artificial parameters in determining areas classified as

landslide susceptibility class in Badeng Watershed.

The distribution of landslide-prone areas in the

Badeng watershed in Table 13.

Table 13: Area Prone to Landslides.

Classification Area (Km

) % Area

Moderately Vulnerable 1.408 2.688

Slightly Vulnerable 50.973 97.311

Total 52.383 100

The level of landslide susceptibility in this area is

dominated by a slightly vulnerable class of 97.31%.

Whereas for the smallest level of landslide

susceptibility, the vulnerability class is moderately

vulnerable to 2.69%. The distribution is shown in

Figure 5.

Figure 5: Map of the Distribution of Landslide Vulnerable

Areas in Badeng Watershed.

The results showed that the area of landslide

susceptibility in the Badeng Watershed is divided into

two classes, namely, Moderately Vulnerable and

iCAST-ES 2021 - International Conference on Applied Science and Technology on Engineering Science

1190

Slightly Vulnerable. Landslide prone areas are

dominated by slope >40% so that it affects surface

water flow velocity. The results showed that the

higher the slope, the higher the level of landslide

vulnerability. In the study area, the level of landslide

susceptibility is slightly vulnerable, dominated by

residential land use and rice fields. Settlements and

rice fields have vegetation that cannot maintain

surface stability because it is inundated and has a

shallow root system that does not maintain soil

particles' compactness.

4.13 Mitigation Policy

Based on a map of flood and landslide hazards in the

Badeng Watershed, steps can be taken to prevent

flood and landslide disasters based on Regulation of

the Minister of Home Affairs of the Republic of

Indonesia No. 33 of 2006 in Table 14 and Table 15.

One of the mitigation policy recommendations is the

innovation of interlock bricks with a mixture of

bagasse ash without combustion used to control land

erosion in the upper reaches of the Badeng River

(Erwanto et al., 2020).

Table 14: Recommendations for Badeng Watershed Flood

Mitigation Policy.

Mitigation Steps

Responsible

enc

Prone

Location

Reference

Supervision

Land Use and Site

Planning

Ministry of Public

Works, Provincial /

Regency

Government

Sumber Arum Flood Hazard Map,

Flood Water

Supply Prone Area

Map, and Base

The Construction

of drainage

channels and

reservoirs.

Ministry of Public

Works, Provincial /

Regency

Government

Alas Malang,

Singojuruh,

and Songgon

Public awareness o

the possibility of

floods and how to

overcome them.

Infrastructure

development and

vegetative and

mechanical

conservation in the

upstream area of

the river and

conservation

buildings in the

form of a check

dam / Gully plug,

and slo

terrace.

Ministry of Public

Works, Provincial /

Regency

Government,

Department of

Environment

Sumber Arum,

Bayu and

Songgon

Plan and readiness

of facilities that are

safe from flooding.

River dredging,

making river banks

with open channels.

Ministry of Public

Works, Provincial /

Regency

Government

Gladag, Alas

Malang,

Singojuruh,

Sumberbulu,

and Son

Early warning,

District / City

Master Plan.

Staff training in

disaster

management,

Medical

engineering,

Support.

Ministry of Social

Affairs, Ministry of

Health

Sumber Arum,

Bayu, Sumber

Bulu, Parang

Harjo,

Bedewang,

Cantuk,

Benelan

Kidul, Bubuk,

Gladag, Alas

Malan

It is increasing the

quantity and quality

of Human

Resource, Health,

and others.

Mitigation Steps

Responsible

enc

Prone

Location

Reference

Gintangan,

Kemiri,

Parangharjo,

Singojuruh

and Son

Flood vigilance

training

Ministry of

Research and

Technology,

Technology

Assessment and

Application

Agency, Indonesian

Institute of

Sciences, Ministry

of Public Works

Sumber Arum,

Bayu, Sumber

Bulu, Parang

Harjo,

Bedewang,

Cantuk,

Benelan

Kidul, Bubuk,

Gladag, Alas

Malang,

Gintangan,

Kemiri,

Parangharjo,

Singojuruh

and Songgon

The Early Warning

System, Master

Plan of City

Drainage.

Flood disasters

evacuation

preparation such as

boats and other

rescue equipment

Ministry of Social

Affairs, Ministry of

Health, Ministry of

Public Works,

ational Search

and Relief Agency

Sumber Arum,

Bayu, Sumber

Bulu, Parang

Harjo,

Bedewang,

Cantuk,

Benelan

Kidul, Bubuk,

Gladag, Alas

Malang,

Gintangan,

Kemiri,

Parangharjo,

Singojuruh

and Son

It is increasing the

quantity and quality

of Human

Resource, Health,

and others.

Table 15: Recommendations for Badeng Watershed

Landslide Mitigation Policy.

Mitigation

Ste

Responsible

enc

Vulnerable

Locations

Reference

Introduction

of Landslide-

prone areas.

Ministry of

Research and

Technology,

Technology

Assessment and

Application

Agency,

Indonesian

Institute of

Sciences,

Ministry of

Public Works

Sumber Arum, Bayu,

Sumber Bulu, Parang

Harjo, Bedewang,

Cantuk, Benelan

Kidul, Bubuk,

Gladag, Alas Malang,

Gintangan, Kemiri,

Parangharjo,

Singojuruh and

Songgon

Emergency plan

to deal with

landslides, Map

of landslide

vulnerable areas.

Identification

of areas that

are actively

moving can be

recognized by

the existence

of horseshoe-

shaped cracks

(horseshoe)

Ministry of

Research and

Technology,

Technology

Assessment and

Application

Agency,

Indonesian

Institute of

Sciences,

Ministry of

Public Works

Sumber Arum Appropriate and

successful

applied

technology to

prevent, reduce

the impact of

landslides.

Closing

fissures on the

slope to

prevent water

from entering

quickly into

the ground

Ministry of

Public Works,

Provincial /

Regency

Government,

Ministry of

Forestry,

Department of

riculture

Sumber Arum Landslide Prone

Map, Disaster

Risk Map.

Application of Geographic Information System for the Identiﬁcation of Flood and Landslide Mitigation in Badeng Watershed

1191

Table 15: Recommendations for Badeng Watershed

Landslide Mitigation Policy (Cont.).

Mitigation

Ste

Responsible

enc

Vulnerable

Locations

Reference

Greening With

Plant The

System

The Roots Are

Inside

Ministry of

Forestry,

Department of

Agriculture,

Department of

Environment

Sumber Arum, Bayu,

and Sumber Bulu

Citizen's

awareness

will possible

landslide disaster

and how to

handle it.

Terracing Ministry of

Public Works,

Provincial /

Regency

Government,

Ministry of

Forestr

Sumber Arum,

Sumber Bulu, and

Songgon

Emergency Plans

in Facing

Landslides.

5 CONCLUSIONS

Identification of disaster mitigation in areas prone to

flooding and landslide-prone areas in the Badeng

Watershed with a Geographic Information System

concluded:

a. The distribution of floodwater supply areas

consists of a prone of 32.170% spread in the

Villages of Sumber Arum, Sumber Bulu, Sumber

Baru, Songgon, Parang Harjo, Bedewang, Kemiri,

Benelan Kidul, Bubuk, Cantuk, Gintangan,

Singojuruh, Alas Malang, Bayu and Gladag, the

risk level is Moderately Prone at 6.069% in the

villages of Songgon, Bayu, Bubuk, Benelan

Kidul, Gladag, Sumberbulu, Sumber Arum,

Sumber Baru, Bedewang, Kemiri, Singojuruh,

and Gintangan. The level of risk is Less Prone at

61.759% in the Villages of Sumber Arum,

Sumber Bulu, and Bayu. Disaster mitigation in

flood water supply areas in the form of river

dredging, land use monitoring and location

planning in prone areas, and flood awareness

training for vulnerable communities.

b. Distribution of locations prone to flooding there is

a very prone risk level of 28.43% in the villages

of Sumber Arum and Bayu, a risk-prone level of

50.919% spread in the villages of Sumber Arum,

Bayu, Sumber Bulu, Sumber Baru, Songgon,

Parang Harjo, Bedewang, Kemiri, Benelan Kidul,

Bubuk, Cantuk, Gintangan, Singojuruh, Gladag

and Alas Malang and then the risk level is

Moderately Prone at 20.651% in the Villages of

Sumber Arum and Bayu. Disaster mitigation in

areas prone to flooding in the upstream area of the

Badeng Watershed in the form of vegetative and

mechanical conservation development in the

upper river and conservation buildings in the form

of check dam/gully plugs, and terraces. Also,

building construction of drainage channels and

reservoirs around the banks of the Badeng river.

c. Distribution of landslide vulnerability maps for

the Badeng Watershed, there is a Moderately

Vulnerable risk level of 2.688% spread in the

Village of Sumber Arum, Sumber Bulu, Bayu,

and Songgon and than a Slightly Vulnerable risk

level of 97.311% spread in the Villages of Sumber

Arum, Bayu, Sumber Bulu, Sumber Baru,

Songgon, Parang Harjo, Bedewang, Kemiri,

Benelan Kidul, Bubuk, Cantuk, Gintangan,

Singojuruh, Gladag, and Alas Malang. Areas with

a high level of risk of landslides are areas where

there are fractures of land due to landslides that

have previously occurred in the area. Disaster

mitigation in landslide-prone areas in the form of

terracing, and greening by stabilizing slopes and

closing fissures on slopes to prevent water from

entering quickly into the ground.

ACKNOWLEDGEMENTS

Thanks to Politeknik Negeri Banyuwangi for funding

research based on the research master plan scheme.

The second time to the research team for their

cooperation so that we can complete our research

activities.

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