INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 190
Multidimensional Scaling Approach For Evaluating The
Sustainability Status Of Two Small Islands With Development
Potential In The Banda Islands
Delvian A. Tuakora
1
, Willem A. Siahaya
1,2
, Andrias I. Latupapua
1,2
Land Management Study Program, Graduate School, University of Pattimura, Indonesia
1
Soil Science Study Program, Faculty of Agriculture, University of Pattimura, Indonesia
2
DOI : https://doi.org/10.51583/IJLTEMAS.2025.140400021
Received: 15 April 2025; Accepted: 21 April 2025; Published: 03 May 2025
Abstract: Small islands will face a variety of very complex obstacles related to sustainable development. The Banda Islands are
one of the areas that are likely to face these problems due to the high level of insularity. To avoid the problems that will be faced,
various studies are needed in evaluating the status of small island sustainability on two Potential Islands as a priority for sustainable
development carried out with the aim of knowing the sensitive factors that affect the development of Small Island Areas based on
the dimensions of management as an improvement strategy. This research uses the Multidimensional Scaling (MDS) approach by
determining five dimensions consisting of 56 Attributes. Based on the results of the study, Banda Neira Island has an average index
value of 42.44 which is included in the Less Sustainable category and Banda Besar Island with an average index value of 43.91
which is included in the Less Sustainable category. From the sustainability status, it is known that sensitive factors in inhibiting
sustainable development can be used as the main problems faced by the two potential islands and become a special concern in the
planning process of the two potential islands.
Keywords: Sustainable, Sensitive Factors, Multidimensional Scaling, Planning, Small Island.
I. Introduction
The development of coastal areas and small islands is carried out as an effort to increase the capacity and efficiency of the region,
which is expected to increase the development of small island areas and is directed at improving the quality of infrastructure,
regional income, prosperity of community life and binding regulations in the country. This kind of theoretical generalization actually
has very diverse potential from one place to another with different levels of exploitation. On the other hand, the development
potential is still quite large, but in other places there is no development potential due to environmental damage and unsustainable
utilization (Rijanta, 2005). An important factor that is strongly suspected in determining the level of development of the Islands
region is the level of regional insularity that varies between parts of the Islands region itself. The higher the level of insularity of
the Islands region, the higher the problems it faces so that most areas with a high level of insularity tend to develop as
underdeveloped areas (Benedict dkk, 1999).
Theoretically, the development of an insularity region dominated by small islands will face a variety of very complex constraints.
Understanding Islands in a way that makes sense to Islanders and in the context of specific island cultures, emphasizing epistemic
diversity (Nadarajah et al, 2022). To understand the dynamics of Islands, a deeper relational understanding between islands,
regions, and cultures is needed, for example, islands that form new relational meanings and entities as a result of geopolitical
developments with outlying islands (Meng Qu et al, 2023). The Island space continues to hold a fascination that is difficult to
define, through its paradoxical and ambivalent nature, the Island has its own interest from various fields as it is an element that
triggers the imagination, offering successive modeling and redefinition as a vast and isolated space (Potre A, 2017).
In the Maluku Islands, there is one group of small islands that is geographically surrounded by a vast sea and is far from the
continental area and surrounding small islands, namely the Banda Islands, which administratively is the Banda District area with
the capital Banda Neira, Central Maluku Regency, Maluku Province. Thus the Banda Islands Region is characterized as an insularity
region, where a small island that is not connected to the continental region by permanent infrastructure such as tunnels or bridges,
is at least 1 kilometer from the continental region and does not have a large city (Euroisles, 2003). With the characteristics of the
Banda Islands Region, it requires serious handling to anticipate development developments as other regions that cannot be separated
from the problem of insularity that has its own challenges and can be an obstacle in regional development efforts in the Banda
Islands. The problems faced by the insularity region itself include (1) connectivity of transportation access, (2) the existence of
development disparities, (3) spatial planning of small island regions that are not yet organized, and (4) policies that are still partial
and sectoral. On the other hand, the Banda Islands have regional potential in carrying out their functions and roles as sustainable
competitive small island regions. The potential of the region which is then considered in several aspects of potential, namely
Tourism, Plantations and Fisheries and Marine which can be marketed outside the Maluku region.
(Yaman G, 2015) in his research explains one of the strategies in regional development by determining growth centers as an effort
to control regional development where areas that have such rapid growth that they are used as centers of development that affect
other areas around them. There are 2 potential development islands as growth centers in the Banda Islands, namely Banda Neira
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 191
Island and Banda Besar Island (Tuakora, 2023) with the existence of areas that are used as growth centers, it is hoped that the
surrounding areas will also be affected and triggered to progress. For this reason, it is necessary to extract data to solve a problem
in providing the necessary information, considering the basis of management related to regional development. Planning and
sustainable regional development is carried out comparatively to describe the status of sustainability which produces sensitive
factors as obstacles in the development of 2 potential islands in the Banda Islands by involving each domain and its relationship
between each indicator used to achieve Social and Economic development goals.
II. Research Methods
The data used in this research are primary data and secondary data. Primary data was obtained and collected directly through field
observations and in-depth interviews with stakeholders and respondents who became informants. Secondary data was obtained
from statistical data covering the research area.
The method used in this research is the application of Multidimensional Scaling (MDS) techniques developed in a RapWIN
application to determine the sustainability of small island development. This application is a modification of the Rapfish (Rapid
Appraisal for Fisheries) program developed by the University of British Colombia-Canada to assess the sustainability of a system
(Fauzi A and S. Anna, 2005).
The MDS technique maps two points or objects that are the same in one point that are close to each other. Conversely, different
objects or points are depicted with points that are far apart. The score values for each attribute will form a matrix X (n x p), where
n is the number of regions and reference points and p is the number of attributes used. The score value is then standardized for each
attribute score value. So that each attribute has a uniform weight and differences between measurement scales can be eliminated.
(Kavanagh et al, 2004) formulated the standardization method as follows:



(1)
Where to:
X
ik
sd
:
standardized score value of the i-th region (including its reference point) = 1.2...n. on the ke-k attribute = 1.2...p
X
ik
:
Initial score value of the region (including its reference points) i = 1.2...n. on each ke-k attribute = 1.2....p
X
k
:
The center value of the score on each ke-k attribute = 1.2...p
S
k
:
Standard deviation of scores at each ke-k attribute = 1.2...p
(Kavanagh et al, 2004) mentioned that the MDS technique in Rapfish is done by calculating the closest Euclidian distance based
on equation (2):

󰇛
󰇜
󰇛
󰇜
(2)
The Euclidean distance between the two points (d
12
) is then projected into a two-dimensional Euclidean distance (D
12
) and e is the
error value. Formulated in equation (3):



(3)
In Rapfish, the regression process uses the ALSCAL algorithm with the principle of making repetition (interaction) of the regression
process so as to produce the smallest error value. According to (Kavanagh et al, 2004) the ALSCAL algorithm in Rapfish forces
the intercept value in the equation to be equal to zero (a = 0) so that equation (3) becomes equation (4) below:


(4)
The repetition process is stopped. If the stress value is smaller than 0.25. the stress value is obtained based on equation (5).

󰇩





󰇪

(5)
The effect of error will appear in MDS analysis caused by various things, such as: (1) Errors in scoring due to misunderstanding of
attributes or imperfect conditions of the research location, (2) Variations in values due to differences in opinion or judgment by
researchers, (3) Data entry errors or missing data and (4) high Stress values. Stress value <25% is an acceptable stress value.
Evaluation of the effect of error in the process of estimating the sustainability ordination value can be done using Monte Carlo
analysis. (Kavanagh et al, 2004) mentioned that the goodness of fit in MDS is reflected in the value of S (stress) and R
2
. A good
model is indicated by the value of S which is smaller than 0.25 and R
2
which is close to 1. The scale of the system sustainability
index studied has an interval of 0-100 percent.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 192
Table 1. Sustainability Index Value
No
Value Index
1
0,00 25,00
2
25,01 50,00
3
50,01 75,00
4
75,01 100,00
Source : Suwarno, et al., 2011
The stages in the MDS sustainability analysis are carried out through three stages, namely: (1) Determination of Dimensions and
Attributes that include 5 Dimensions and 56 Attributes; (2) Evaluation of Attributes on an ordinal scale (scoring) based on the
sustainability criteria of each dimension; (3) Determination of Sustainability Status through ordination analysis through the values
assessed both multidimensionally and in each dimension, Sensitive Analysis (Leverage) to determine variables that sensitively
affect sustainability and Anomaly Analysis (Monte Carlo) to take into account aspects of uncertainty (Schaduw, 2015).
Fig 1. Map of the Research Location
III. Results and Discussion
Evaluation of Sustainability Status
Sustainability Analysis on the Infrastructure Dimension
The results of the analysis of the sustainability of Regional Development for the Infrastructure Facilities dimension show that the
sustainability status on the two Potential Islands has a value between 50.01 - 75.00 which indicates a fairly sustainable status
position, namely for Banda Neira Island 53.72 and Banda Besar Island 51.56. based on the results of this analysis, the condition of
the two potential islands needs special attention to restore the dimensions of infrastructure facilities on the condition of Banda Neira
Island and Banda Besar Island with a fairly sustainable status in order to achieve sustainable status.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 193
(a) (b)
Fig 2. Sustainability Status of Infrastructure Dimension
(a) Banda Neira Island, (b) Banda Besar Island
Assessment of the status of sustainability in the Infrastructure dimension is carried out based on the leverage attributes that have
been analyzed. Based on the results of the leverage analysis as shown in Fig 3, of the 9 attributes analyzed, there is 1 attribute that
positively affects the value of the sustainability index of the infrastructure facilities dimension, namely the Type of Road Surface
on Banda Neira Island with a value of 3.43 and Banda Besar Island 3.77. This attribute needs special attention by making better
road improvements so that it can increase the value of a better sustainability status in the future.
(a) (b)
Fig 3. Sensitive Factors affecting the Sustainability of Regional Development in the Infrastructure Dimension
(a) Banda Neira Island, (b) Banda Besar Island
Sustainability Analysis on the Population and Social Conditions Dimension
The results of the analysis of the sustainability of Regional Development for the dimensions of Population and Social Conditions
show that the sustainability status of the two Potential Islands has a value between 50.01 - 75.00 which indicates a fairly sustainable
status position, namely for Banda Neira Island 64.64 and Banda Besar Island 60.72. based on the results of this analysis, the
conditions of the two potential islands need special attention to restore the dimensions of Population and Social Conditions on the
conditions of Banda Neira Island and Banda Besar Island with a fairly sustainable status in order to achieve sustainable status.
Assessment of the status of sustainability in the Population and Social Conditions dimension is carried out based on the leverage
attributes that have been analyzed. Based on the results of the leverage analysis as shown in Fig 5, of the 13 attributes analyzed,
there is 1 attribute that positively affects the value of the sustainability index of the Population and Social Conditions dimension,
namely the Waste Disposal Process on Banda Neira Island with a value of 2.70 and the use of defecation facilities on Banda Besar
Island with a value of 2.76. these attributes need special attention by improving better management so as to increase the value of
sustainability status.
53.72
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
51.56
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
1.22
0.38
0.06
1.02
2.11
3.43
1.75
2.27
0.19
0 1 2 3 4
Availability of Worship Facilities
Availability of Health Facilities
Availability of Education Facilities
Ease of Access
Availability of Supporting Transportation
Facilities
Road Surface Type
Road Surface Quality
Pedestrian Infrastructure
Street Lighting System
Root Mean Square Change in Ordination when Selected
Attribute Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
0.78
0.54
1.27
1.44
1.73
3.77
1.38
2.37
0.31
0.00 1.00 2.00 3.00 4.00
Availability of Worship Facilities
Availability of Health Facilities
Availability of Education Facilities
Ease of Access
Availability of Supporting Transportation
Facilities
Road Surface Type
Road Surface Quality
Pedestrian Infrastructure
Street Lighting System
Root Mean Square Change in Ordination when Selected
Attribute Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 194
(a) (b)
Fig 4. Sustainability status of population dimension and social conditions
(a) Banda Neira Island, (b) Banda Besar Island
(a) (b)
Fig 5. Sensitive Factors Affecting the Sustainability of Regional Development in the Dimension of Population and Social
Conditions
(a) Banda Neira Island, (b) Banda Besar Island
Sustainability Analysis on Economic Dimension
The results of the analysis of the sustainability of regional development for the economic dimension show that the sustainability
status of the two potential islands has a value between 0.00 - 25.00 which indicates the position of the status of sustainability is not
sustainable, namely for Banda Neira Island 17.56 and Banda Besar Island 17.13. based on the results of this analysis, the condition
of the two potential islands needs special attention to restore the economic dimension in the condition of Banda Neira Island and
Banda Besar Island with unsustainable status in order to reach the status above quite sustainable or even sustainable.
64.64
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
60.72
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
1.49
0.07
0.21
0.43
0.53
2.66
2.70
0.68
0.77
0.86
0.94
1.58
0.91
0.00 0.50 1.00 1.50 2.00 2.50 3.00
Genesis Social Conflict
The Role of Indigenous Arts and Culture
Community Knowledge in Resource Management
Source of Water for Drinking
Water Source for Bathing/Washing
Use of Defecation Facilities
Waste Disposal Process
Availability of Electrical Energy Sources
Availability of Phone Signal
Community Empowerment System
Village Progress Level
Job Opportunities
Age of Labor
Root Mean Square Change in Ordination when Selected Attribute
Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
2.04
0.92
0.54
0.21
0.03
2.76
0.04
0.17
0.33
0.62
2.16
1.89
0.62
0.00 0.50 1.00 1.50 2.00 2.50 3.00
Genesis Social Conflict
The Role of Indigenous Arts and Culture
Community Knowledge in Resource Management
Source of Water for Drinking
Water Source for Bathing/Washing
Use of Defecation Facilities
Waste Disposal Process
Availability of Electrical Energy Sources
Availability of Phone Signal
Community Empowerment System
Village Progress Level
Job Opportunities
Age of Labor
Root Mean Square Change in Ordination when Selected Attribute
Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 195
(a) (b)
Fig 6. Sustainability Status of Economic dimension
(a) Banda Neira Island, (b) Banda Besar Island
Assessment of the status of sustainability in the economic dimension is carried out based on the leverage attributes that have been
analyzed. Based on the results of the leverage analysis as shown in Fig 7, of the 15 attributes analyzed, there is 1 attribute that
positively affects the value of the economic dimension sustainability index, namely the availability of BUMDesa on Banda Neira
Island with a value of 4.21 and Banda Besar Island with a value of 3.85. This attribute needs special attention by making better
improvements so that it can increase the value of sustainability status.
(a) (b)
Fig 7. Sensitive Factors Affecting the Sustainability of Regional Development in the Economic Dimension
(a) Banda Neira Island, (b) Banda Besar Island
Sustainability Analysis on the Tourism Dimension
The results of the analysis of the sustainability of Regional Development for the Tourism dimension show that the sustainability
status on the two Potential Islands has a value between 25.01 - 50.00 which indicates the position of a less sustainable status, namely
for Banda Neira Island 48.04 and Banda Besar Island 40.16. based on the results of this analysis, the condition of the two potential
islands needs special attention to restore the Tourism dimension in the condition of Banda Neira Island and Banda Besar Island
with a less sustainable status in order to achieve a status above moderately sustainable or even sustainable.
17.56
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
17.13
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
0.45
1.58
1.26
1.42
1.52
0.70
0.74
1.63
1.58
1.50
1.33
4.21
0.91
0.87
1.92
0.00 1.00 2.00 3.00 4.00 5.00
Availability of Original Village Revenue
funding sources
Availability of Village Fund Allocation
Availability of DAK for Cultural Heritage
Maintenance and Management
Regional Asset Management Budget
Availability
Community Income Level
Changes in Agricultural Commodities
Change in Marine Capture Production
Availability of People's Market
GENERAL Bank Availability
Availability of Private Banks
Availability of Rural Banks
Availability of BUMDesa
Post Office availability
Availability of Expedition Services
Processing Industry Growth
Root Mean Square Change in Ordination when Selected
Attribute Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
2.30
2.11
0.95
1.21
1.39
2.72
1.59
1.63
1.59
1.52
1.40
3.85
1.16
1.00
1.43
0.00 1.00 2.00 3.00 4.00 5.00
Availability of Original Village Revenue
funding sources
Availability of Village Fund Allocation
Availability of DAK for Cultural Heritage
Maintenance and Management
Regional Asset Management Budget
Availability
Community Income Level
Changes in Agricultural Commodities
Change in Marine Capture Production
Availability of People's Market
GENERAL Bank Availability
Availability of Private Banks
Availability of Rural Banks
Availability of BUMDesa
Post Office availability
Availability of Expedition Services
Processing Industry Growth
Root Mean Square Change in Ordination when Selected
Attribute Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 196
(a) (b)
Fig 8. Sustainability Status of Tourism Dimension
(a) Banda Neira Island, (b) Banda Besar Island
Assessment of the status of sustainability in the Tourism dimension is carried out based on the leverage attributes that have been
analyzed. Based on the results of the leverage analysis as shown in Fig 9, of the 13 attributes analyzed, there is 1 attribute that
positively affects the value of the sustainability index of the Tourism dimension, namely the availability of tourist attractions on
Banda Neira Island with a value of 3.20 and the availability of hotels and lodging on Banda Besar Island with a value of 3.92. these
attributes need to get special attention by making better improvements so that they can increase the value of sustainability status.
(a) (b)
Fig 9. Sensitive Factors Affecting the Sustainability of Regional Development in the Tourism Dimension
(a) Banda Neira Island, (b) Banda Besar Island
Sustainability Analysis on the Institutional Dimension
The results of the analysis of the sustainability of Regional Development for the Institutional dimension show that the sustainability
status of the two Potential Islands has a value between 25.01 - 50.00 which indicates the position of a less sustainable status, namely
for Banda Neira Island 39.50 and Banda Besar Island 49.99. based on the results of this analysis, the condition of the two potential
islands needs special attention to restore the Institutional dimension in the condition of Banda Neira Island and Banda Besar Island
with a less sustainable status in order to achieve a status above moderately sustainable or even sustainable.
48.04
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
40.16
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
0.07
0.27
0.43
0.65
0.84
0.97
2.34
3.20
2.50
2.60
0.04
1.25
1.00
0.00 1.00 2.00 3.00 4.00
Availability of Access to Tourist Information
The Role of Historical Value
Cultural Heritage Protection
Cultural Heritage Care
Safeguarding Cultural Heritage
Availability of Lodging or Boarding Houses
Restaurant Availability
Availability of Attractions and Tourism
Hotel and Lodging Rates
Online Tourism Marketing
Availability of Transportation Facilities to Tourist
Sites
Ease of reaching the object
Existence of Tour Guide Group
Root Mean Square Change in Ordination when Selected Attribute
Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
0.98
0.46
0.38
0.29
0.18
3.79
3.84
3.35
3.92
2.87
0.69
1.88
0.77
0.00 1.00 2.00 3.00 4.00 5.00
Availability of Access to Tourist Information
The Role of Historical Value
Cultural Heritage Protection
Cultural Heritage Care
Safeguarding Cultural Heritage
Availability of Lodging or Boarding Houses
Restaurant Availability
Availability of Attractions and Tourism
Hotel and Lodging Rates
Online Tourism Marketing
Availability of Transportation Facilities to
Tourist Sites
Ease of reaching the object
Existence of Tour Guide Group
Root Mean Square Change in Ordination when Selected
Attribute Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 197
(a) (b)
Fig 10. Sustainability Status of Institutional dimension
(a) Banda Neira Island, (b) Banda Besar Island
Assessment of the status of sustainability in the institutional dimension is carried out based on the leverage attributes that have been
analyzed. Based on the results of the leverage analysis as shown in Fig 11 of the 11 attributes analyzed, there is 1 attribute that
positively affects the value of the institutional dimension sustainability index, namely the availability of institutions or agencies
that manage regional assets on Banda Neira Island with a value of 4.88 and policies in managing the assets of the Banda Besar
Island area with a value of 4.01. these attributes need special attention by making better improvements so that they can increase the
value of sustainability status.
(a) (b)
Fig 11. Sensitive Factors Affecting the Sustainability of Regional Development in the Institutional Dimension
(a) Banda Neira Island, (b) Banda Besar Island
Multidimensional Scaling Analysis and Validation of Sustainability
The results of the identification of the sustainability status that has been carried out in each dimension can be combined and
compared as a whole in the form of Multidimensional Scaling Analysis (MDS). Table 2, shows the Sustainability Status of
Infrastructure, Population and Social Conditions, Economy, Tourism and Institutions on the two islands of potential regional
development. The average value of the sustainability status of each dimension on the two Potential Development Islands is in the
range of sustainability index values 25.01 - 50.00 which indicates a less sustainable status so that special attention needs to be paid
to improving the sustainability status of the Economic dimension on the two Islands because of the smallest ordination value
compared to other dimensions.
39.50
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
49.99
GOOD
BAD
UP
DOWN
-60.00
-40.00
-20.00
0.00
20.00
40.00
60.00
0.00 50.00 100.00 150.00
Other Distingishing Features
Real Fisheries References Anchors
1.62
1.19
3.88
1.52
0.40
4.88
4.57
3.92
3.26
2.15
0.73
0.00 1.00 2.00 3.00 4.00 5.00 6.00
Village Regulation/Village Head Decree on
Health and Education
Policy synergy
Availability of local Facilitators
The Role of Customary Law
Availability Number of Local security personnel
Availability of an institution or agency that
manages regional assets
Regulations related to regional asset
management
planning related to regional asset management
The role of NGOs
Availability of Supervisory Groups
Growth of Community Institutions/Groups
Root Mean Square Change in Ordination when Selected
Attribute Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
1.04
0.03
1.52
1.75
1.08
1.77
4.01
3.51
2.22
0.77
0.02
0.00 1.00 2.00 3.00 4.00 5.00
Village Regulation/Village Head Decree on
Health and Education
Policy synergy
Availability of local Facilitators
The Role of Customary Law
Availability Number of Local security
personnel
Availability of an institution or agency that
manages regional assets
Regulations related to regional asset
management
planning related to regional asset
management
The role of NGOs
Availability of Supervisory Groups
Growth of Community Institutions/Groups
Root Mean Square Change in Ordination when Selected
Attribute Removed (on Sustainability scale 0 to 100)
Attribute
Leverage of Attributes
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 198
Table 2. Sustainability Status Score for each Dimension
No
Dimensions
Potential Island
Banda Neira
Banda Besar
1
Infrastructure Facilities
53.72
51.56
2
Population and Social Conditions
64.64
60.72
3
Economy
17.56
17.13
4
Tourism
48.04
40.16
5
Institutional
39.50
49.99
Average
42.44
43.91
Fig 12, shows a kite diagram of the position of sustainability status between potential islands in each dimension. Banda Neira Island
has the highest sustainability status in the dimensions of Tourism, Population and Social Conditions and Infrastructure Facilities
compared to Banda Besar Island which is only prominent in the Institutional dimension.
Fig 12. Kite Diagram of Sustainability Status Index Analysis
Validation of the results of the MDS analysis can be analyzed based on the value of statistical parameters issued by the Insularity
Rap-Region model, namely based on the value of “S-Stress and the Coefficient of Determination (R
2
). The model output results as
shown in Table 3, show the S-Stress value <0.25, meaning that the model output is quite significant. Likewise, the coefficient of
determination generated at the 95% confidence interval level obtained a significant coefficient value close to 1 for each dimension.
Another test of the results is to compare the results of the MDS analysis with the results of the Monte Carlo analysis, as can be seen
in Table 4. The results obtained indicate that the difference in results between the MDS and Monte Carlo values at the 95%
confidence interval does not experience much difference with a difference of 1. The small difference in the value of the sustainability
index between the results of the analysis of the two methods indicates that (1) The error in making the score of each attribute is
relatively small, (2) Relativ small differences in opinion are given, (3) The model iteration process is relatively stable. The relatively
small difference of less than 1 between the MDS and Monte Carlo simulation results indicates that the system studied has a high
level of confidence.
Table 3. Statistical Parameters (Goodness of fit) Sustainability Index Analysis
No
Dimensions
Potential Island
Banda Neira
Banda Besar
Parameter Statistik
S
Stress
R2
S
Stress
R2
1
Infrastructure Facilities
0.14
0.95
0.14
0.95
2
Population and Social Conditions
0.14
0.95
0.14
0.95
3
Economy
0.13
0.96
0.13
0.96
4
Tourism
0.14
0.95
0.13
0.95
5
Institutional
0.13
0.95
0.14
0.95
Infrastructure Facilities
Population and Social
Conditions
EconomyTourism
Institutional
Banda Neira
Banda Besar
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 199
Table 4. MDS and Monte Carlo Comparison Analysis Results
No
Dimensions
Potential Island
Banda Neira
Banda Besar
Parameter Statistik
Hasil
MDS
Hasil Monte
Carlo
Selisih
Hasil
MDS
Hasil Monte
Carlo
Selisih
1
Infrastructure Facilities
53.72
53.48
0.24
51.56
51.34
0.22
2
Population and Social Conditions
64.64
63.89
0.75
60.72
60.38
0.34
3
Economy
17.56
17.33
0.23
17.13
16.94
0.19
4
Tourism
48.04
47.76
0.28
40.16
39.78
0.38
5
Institutional
39.50
39.20
0.30
49.99
49.92
0.07
IV. Conclusion
The index value of the sustainability of the development of the insularity area for each Potential Island is 42, 44 and 43.91 which
is obtained from the average of the total index on the dimensions analyzed, meaning that the status of the sustainability of the
development of the insularity area is included in the Less sustainable category for both Potential Islands. Two of the five sustainable
dimensions have a fairly sustainable status, while there are two dimensions that have a less sustainable status, namely the Tourism
and institutional dimensions and one dimension that has an unsustainable status, namely the economic dimension.
Planning fund policy strategies need to be carried out by managing attributes that have a sensitive effect or as a major problem in
the development of insularity areas. Sensitive attributes are basic services in supporting tourism activities which will have an impact
on the economy and regulations are needed in the planning stages to run according to the needs and procedures that apply to the
creation of mature and targeted planning. This will prevent effects that will later have an impact on other aspects / dimensions and
worsen the sustainability status of the development of the insularity area.
References
1. Bass, Stephen and Barry Dalal-Clayton. Small Island States and Sustainable Development: Strategic Issues and
Experience. Environmental Planning Issues. London: International Institute for Enviroment and Development, 1995.
2. Benedict, Burton, Bryan H. Insularity and Development: International Perspectives on Islands. London and New York:
Pinter, 1999.
3. Benedict, Burton (ED). (1967). Problems of Small Territories. London: University of London.
4. Biagini, Emilio, Bryan Hoyle (Eds). (1999). Insularity and Development: International perspectives on Islands. London
and New York: Pinter.
5. Darlen, M. F., Hadi, S., Ardiansyah, M. (2015) Pengembangan Wilayah berbasis Potensi Unggulan di Kapubaten
Manggarai Timur Provinsi NTT sebagai Daerah Otonom Baru. Tata Loka, 2015.
6. De Haan, Leo J. Small Islands in the Carribean, the last Remains of the Tropical Netherlands: The Netherlands Antiles
and Aruba. Tijdschrift voor economie en Sociaal Geographie, 2015.
7. Drake, Christine. National Integration in Indonesia. Honolulu: University of Hawaii Press, 1989.
8. Euroisles. Insularity: Pervasive and Permanent Reality, 2003.
9. Fauzi, A. dan S. Anna. Pemodelan sumberdaya perikanan dan kelautan untuk analisis kebijakan. Jakarta: Gramedia
Pustaka Utama, 2005.
10. Hout, M., Papesh, M., & Goldinger, S. Multidimensional Scaling. Wiley Interdiscip Rev Cogn Sci, 2013.
11. Jones, Gavin dan Yulfita R. Penduduk, Lahan dan Laut: Tantangan Pembangunan di Indonesia Timur. Jakarta: Pustaka
Sinar Harapan, 1998.
12. Kavanagh, P. And Pitcher, T.J. Implementing Microsoft Excel Software for Rapfish: A Technique for the Rapid Appraisl
of Fisheries Status, Fisheries Centre Research Reports, 2004.
13. Lockhart, J. A. Counterhegemony and welfare capitalism: A critical Freirean perspective. The University of Manchester,
1993.
14. Meng Qu et al. Island Studies and socio-economic development policies in East Asia, Island Studies, 2023.
15. Nadarajah et al. Critical reflexivity and decolonial methodology in island studies: Interrogating the scholar within, Island
Studies, 2022.
16. Potre A. The Island and the insularity at the confluence between Disciplines, Theory, History and Literary Criticism, 2017.
17. Rijanta, R.. Insularitas dan Keterbelakangan Ekonomi Wilayah menuju Model Konseptual perkembangan Wilayah Pulau
Kecil di Indonesia. Majalah Geografi Indonesia, 2005.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue IV, April 2025
www.ijltemas.in Page 200
18. Schaduw JNW. Keberlanjutan Pengelolaan Ekosistem Mangrove Pulau Mantehage, Kecamatan Wori Kabupaten
Minahasa Utara Provinsi Sulawesi Utara. Jurnal LPPM Bidang Sains dan Teknologi, 2015.
19. Sugiyanto. (2010). Penelitian pengembangan pusat-pusat pertumbuhan ekonomi di Kabupaten Lamandau. Jurnal Mitra
Ekonomi dan Manajemen Bisnis, 2010.
20. Voon, P. K. Geography Education In Malaysia. Malaysian Journal of Tropical Geography, 1990.
21. Yaman G. Identifikasi Pusat-pusat pertumbuhan dan wilayah pendukungnya dalam pengembangan wilayah Kabupaten
Nias, 2015.