A Study of Customer Satisfaction with Planning Movement of Goods during Disaster Aid Programs: A Case Study of Flood Hit in Segamat, Johor

Journal of Environmental Treatment Techniques

0202, Volume 8, Issue 1, Pages: 914-908

J. Environ. Treat. Tech.

ISSN: 2309-1185

Journal weblink: http://www.jett.dormaj.com

A Study of Customer Satisfaction with Planning

Movement of Goods during Disaster Aid

Programs: A Case Study of Flood Hit in Segamat,

Johor

Jimisiah Bt Jaafar *, Afzan Najieha Binti Ishak , Sallaudin Bin Hassan , Khairul Firdaus Bin

Adrutdin , Muhammad Imran Qureshi

Universiti Kuala Lumpur, Malaysia

Universiti Teknikal Melaka, Malaysia

Received: 26/05/2019

Accepted: 01/07/2019

Published: 20/02/2020

Abstract

Segamat is one of the districts, which has been commonly affected by floods during the north-east monsoon that has been estimated

to happen in November to March. A flood that happened at Segamat destroyed property, livestock, crops, and infrastructure. It also

threatened the people's life. National Security Council (NSC) is responsible for managing the natural disaster that affected the country.

Moreover, NSC is responsible for coordinating the National Disaster management, establishing and ensuring all respective policies and

implementing disaster management in each level. Therefore, this research conducted a survey to study the level of satisfaction of floods

victims with the disaster aid programs. Thus, a descriptive analysis has been used in the research. Sample size of the research included

67 respondents. Data have been analyzed by SPSS; a comprehensive software for data analysis. In addition, factors affecting the

customer satisfaction during disaster aid programs have been identified in the research using the factor analysis. Then, the relationship

between the movement of goods and the customer satisfaction during the disaster relief programs has been examined by, correlation

coefficient. Findings of the research proved lower satisfaction level of customer with disaster aid programs. Moreover, for factor

analysis, three factor has been extracted from six factor. It has been also found that there have been a significant relationship between

planning movement of goods and customer satisfaction. Thus, it is recommended to improve comfort ability and management of

delivering aid in order to promote management of disaster programs.

Keywords: Customer Satisfaction, Disaster, Flood, Management, Planning, Victims

Introduction¹

percent are hilly areas up to 1000 m (1). The unpredictable

heavy rain is one of the big factors in addition to the human

intervention such as poor drainage, poor planning in urban

development, and the attitude of people itself. According to an

interview with Captain (PA) Mohd Nazlan Bin Ruslan from

Malaysia Civil Defence Department, the huge flood happened

in five years for one time in 2006, 2011, and 2017.

It is notable that NSC is the agency responsible for the

National Security Division, Prime Minister Department plans

for the operation during the disaster (11). The government

spends a large fund for effective and efficient management of

disaster. The agency responsible for management of the fund

from the government in terms of goods is the Social Welfare

Department. They must plan earlier to preparedness and they

did not have the asset that can carry the goods during the flood

This research aimed to study the customer satisfaction with

the planning movement of goods during disaster aid programs

based on a case study at Segamat, Johor. In this research,

victims represented the customer in disaster aid programs. The

flood usually hit Segamat during the north-east monsoon.

Therefore, we focused on the management of flood disasters

during the preparation and response phase of a disaster. There

are three types of flood that happen in Malaysia. They are

categorized as natural disasters, man-made disasters, and

hybrid disasters.

In Segamat, flood happens because of the combination of

natural and man-made factors. In fact, the happened flood is

due to the heavy monsoon rainfall and the river at Segamat

consisting of 70 percent of the catchment area and another 30

Corresponding author: Jimisiah Bt Jaafar, Universiti Kuala Lumpur, Malaysia. E-mail: jimisiah@unikl.edu.my.

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0202, Volume 8, Issue 1, Pages: 914-908

event. Moreover, they do not have enough staff to handle the

goods during flood event and they must search for volunteers

to distribute the goods. Therefore, less communication

between the Social Welfare and other agency and community

can make the goods arrive too late. With regard to their task,

they must make sure the foods arrive in 6 hours after the flood

event at the flood relief centre.

Flood is the one of natural disasters that happened in our

country affected by the climatic conditions. Our country is

dominated by the north-east monsoon during November to

March. Flood is commonly associated with the monsoon.

According to Khalid, the NSC is the agency that is responsible

for Flood Disaster Management in Malaysia (9).

Review of the Literature

This study is a review from previous research related to the

research problems. This chapter will review the victims or

customer responsiveness towards respective agencies who

deliver the services during disaster aid programs. Satisfaction

of the victims of flood disaster can be measured with the

successfulness of programs. Disaster has many different ways

of handling and this chapter will explain a disaster with a focus

on floods. The previous flood event at Segamat has been a case

study at Segamat, Johor on 24 January 2017. Their planning in

movement of goods has been not well-prepared in disaster aid

programs.

According to Nikbaksh and Farahani, humanitarian

logistics is one of the program branches in logistics that

requires preparation and response phases in disaster

management (12). The crucial part of the disaster relief

programs is the effectiveness and delivery of speeds. In the

system of logistics, it requires purchasing, storing, and

transporting water, food, medicine, and other supplies such as

human resources, machinery, and equipment that are need in

the pre and post-disaster periods.

Another issue that comes after the disaster is the disaster

inventory such as food, medicines, and comforter at the

evacuation centre. The needs of relief aid are different at all

evacuation centers based on the numbers of victims.

According to Former of Deputy Prime Minister of Malaysia,

the government needs to improve four areas in handling

national disasters such as floods. These areas include the early

warning system, relief centres, food supply, and assets and

logistics (1). The NSC also must look the number of centres

for storing food supplies, particularly in the flood-prone

districts, raise stocks of food supplies at the supply stores when

anticipating floods, and improve the system to dispatch

supplies to the relief centres (11). Furthermore, it should

improve the management of the food supply and stock reserve

at relief centres. According to Apte, the inventory management

is a critical issue at all phases of commercial, military, and

humanitarian logistics (2). The objective of this research has

been to identify the customer satisfaction with the movement

of goods in disaster aid programs. In addition, the researcher

wanted to determine the relationship between movement of

goods and the customer satisfaction during the disaster relief

programs (10).

This research aimed to identify level of satisfaction of

flood victim known as the customer with the disaster aid

programs. Therefore, the researcher needed to get feedbacks

from the flood victims at Segamat, Johor. It has been one of

the ways to get data. Then, the data collected have been

analyzed using a suitable method. According to the results,

they have been either satisfied or not with the current disaster

aid programs (3). This study could help to improve the current

practice of disaster management by the government.

Moreover, data analysis would support the researcher's idea

and suggestion, which would be recommended in chapter five

of this research. The victims would also get benefits from this

research conducted in Segamat District, Johor. This area has

been always involved in the flood disaster during the north-

east monsoon from November to March. Segamat has three

parliaments called Sekijang, Segamat, and Labis. Segamat is a

district under the Johor state that is managed by the Majlis

Daerah Segamat as the responsible local authority.

.1 Customer in disaster aid programs

According to Oloruntoba and Gray, in humanitarian

logistics, customers are the aid users also known as victims

13). In emergency relief, a chain customer is an individual that

(

has been suffered in the disaster. In fact, people are affected by

illness, injury, thirst, hunger, homeless, and so on. Therefore,

the researcher would use the customer as the victims. In

emergency relief, there are many different perspectives in the

literature.

According

Oloruntoba

and

Gray,

conceptualization of customer found in this literature can be

applied to the emergency (13).

Secondly, intermediate customer is the organizations with

specific function that work as intermediaries between donors

who fund the emergency relief chain to the victims in disaster

(e.g., Malaysian Medical Relief Society (MERCY Malaysia)).

Thirdly, in humanitarian logistics, logistics customer refers to

the locations in the aid-receiving areas. In this context, the

customer takes the ownership of the product or services being

delivered such as individual who is taking the aids from a

center to their house and organization who transports the relief

aid from distribution center to the evacuation center.

.2 Customer Satisfaction in Disaster Aid Programs

In addition, handling the complaints when the customers

face a problem, they may respond by switching a new supplier

or attempting to remedy the problems by complaining in the

hopes that supplier will improve the services. The complaint

handling is not a result of customer satisfaction. It also leads

to operational and financial improvement. In disaster aid

programs, customer complaints when he is satisfied with the

aid programs especially when the goods that they received are

not as they expected.

H1: The level of satisfaction of flood’s victims with the

effectiveness of disaster aid programmed is low.

H2: Factors of the planning movement of goods affect the

customer satisfaction.

H3: The planning movement of goods has a significant

relationship with the customer satisfaction during disaster

programs.

.3 Definition and Type of Disaster

According to the National Security Council in Malaysia,

disaster occurs in a sudden manner. It is complex, threatens the

life, and damages to property and the environment (11). The

daily activities are also affected during a disaster. This incident

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0202, Volume 8, Issue 1, Pages: 914-908

requires handling the resources, tool or equipment, frequency,

and extensive manpower. It includes various agencies as well

as effective coordination and requires the complex actions for

a long period of time.

outline the roles and responsibilities of various agencies

involved in handling disasters.

2.5 Logistics and Supply Chain Management

According to Liu, logistics and supply chain management

vary from area to area. It means the science of planning,

carrying out the movement and maintenance of forces (17). It

deals with

Design and development, acquisition, storage,

movement, distribution, maintenance, evacuation, and

disposition of material,

personnel,

Movement, evacuation, and hospitalization of

Acquisition or construction, maintenance, operation,

and disposition of facilities, and

Acquisition or furnishing of services.

Table 1: Comparison between commercial supply chain and

humanitarian aid and disaster supply chain (5)

Figure 1 : European Customer Satisfaction Index (ECSI) Model

Humanitarian aid

and disaster supply

chain

High water flow that dominates naturally or artificially in

any part of the river system is called flood. When the river bank

is overtopped, the water extends over the flood plain and

causes hazards to the society. If the flood occurs, it applies bad

impacts on people activities and environment or combination

of both. Floods are usually caused by discharge of a huge

volume of water in short time. There are some reasons that the

discharge of water in huge volume causes flood. Firstly, a very

heavy rainfall in a short span of time. Second, breach in dams.

Lastly, a very high tidal waves caused by seismic activities like

earthquake. There are many rivers in Malaysia that have been

involved in daily activities since the early of civilization.

Natural factors such as heavy monsoon rainfall, intense

convection rain storms, poor drainage, and other local factors

made the flood a common feature in the lives of a significant

number of Malaysians. The human factors are things that

cannot be compromised as the planning of urban development

is the worst. For example, the Kuala Lumpur City face a hard

period whereas the vibrant of development is not balanced

with the land limitations.

Commercial

Supply Chain

Comparison Item

Research

Extensive

Limited

Efficiency,

effectiveness,

fairness

-High

unpredictability of

future demand

Profit

maximization

Objective

-low demand

-Storage and

inventory usage

are business

decision

-Storage location

and inventory usage

are political decision

Information on

Information for

control expiry

Obsolescence

Inventory

inventory not

integrate

-Obsolescence

defined by

business need

-Pull system used

infrastructure

-Pull system not

permitted by

demand knowledge

Little theory to

Theory for

quantification

Dimensional roles

guide decision

-Dimensional roles

involves collection

points, transfer

depots, and demand

points

.4 Flood Disaster Management

According to Sipe, N. and Vella, K, the worst option is that

include factories,

distribution centers

and customers

-Commercial

transportation used

nothing else can be done with the hazard when flood hits and

people have to move on to another place (14). This process is

called relocation, in which the victim of flood must move to

another place at the evacuation center. The disaster

management is based on several factors. It includes the loss

and prevention from the impact of a disaster. However,

replenishment is the most costly option and the housing for a

new location is limited.

Transportation

-Special

transportation

sometimes needed

-Round-trip or

circulating

delivery

-Round Trip

delivery

According to Chan, N. W, disaster in Malaysia is managed

under the government functions and based on top-down

government-centered machinery (4). The NSC under the

Prime Minister’s Department is responsible for a disaster

management (11). In fact, the NSC is responsible for

coordinating activities before the flood event from the

mitigation, preparation, response, and reconstruction. NSC

under the Directive No.20 should consider policy and

mechanism about the Natural Disaster and Relief Management

A supply chain also refers to the entire entities involved in

the chain of supply whether directly or indirectly interlinked in

serving the same consumer or customer. The player in the

supply chain includes vendors, manufacturers, distributors,

retailers and customers. Logistics as an accelerator of supply

chain management is responsible for moving the goods that

have been acquired by each player.

issued in 11 May 1997. The aim of the Directive No.20 is to

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.6 Planning Movement of Goods

According to Liu, planning movement of goods is one of

2.7 Disaster Management System Cycle

roles in humanitarian supply chain analysis based on the

critical look on previous subtopic. In addition, a lot of

processes need logistics movement to manage disaster (17).

According to the NSC in Directive No.20, the government

appoints agencies to manage the tasks when the flood event

happens (11).

In logistics planning, there are two movements that are

involved in the movement of people and goods. Therefore, the

researcher studied the planning made up by the Disaster

Management and Relief Committee on the movement of goods

There are four main phases of disaster management

system: mitigation, preparedness, response, and recovery

(Figure 2.2). Characteristics of the region affected by disaster

influence the success of disaster management. The factors in

countries for logistics preparedness such as transportation,

communication infrastructure of the system, environment

condition, geographical conditions, time of event happened by

day or year have crucial impacts in terms of casualties and

destruction caused by a disaster. The table shows activities in

Disaster Management System Cycle.

(15). The disaster aid programs involve the planning between

government and the respective agency. The collaboration is to

ensure the efficiency and effectiveness of the disaster

management. Furthermore, it ensures the fund from the

government, which should be sent to the right place and meets

the requirement of a need for the population that are affected

(16).

Table 2: Critical Successful factors for Humanitarian Supply Chain

Management (11)

Critical Successful Factors

Variables

Transportation modes selection

and supply, Total Productive

maintenance, vehicle routing

optimization, contract delivery

and centralized purchasing.

Transportation Planning

Demand forecasting for aid

supply,

Push and pull system

combination,

Facility location selection,

Prepositioning, Just-in-time,

Vendor-managed inventory,

centralized purchasing,

collaborative warehousing

network development

Aid Inventory Planning

Figure 2: Disaster Management Cycle.

According to Liu, in humanitarian logistics, transportation

is the key function in supply chain management because it is a

physical link between supplier and customer that enable the aid

resources flow. There is a relationship between transportation

planning and inventory efficiency (17).

The affected area must receive urgent relief service in

faster time after the disaster. Therefore, the operation of

emergency logistics and fast response to the urgent demands

in the affected areas is very critical. In fact, the urgent relief

service must deliver goods to the affected area as quick as

possible.

According to the National Security Council, the agency

that manages the transportation supply is Malaysian Public

Work Department and if the asset at the affected area is not

enough in operation time, another agency will be involved to

deliver the supply (11).

According to Liu, demand should be forecasted as a

variable for aid inventory supply such as foods, beverages,

shelter, communication, speed, sanitation (17).

Figure 3: Theoretical Framework.

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0202, Volume 8, Issue 1, Pages: 914-908

Research Methodology

This research will follow the given below process for the

methodology process. The researcher distributed a survey by

questionnaires to the samples of the study. It has been

conducted on the flood disaster victims that has been affected

on 24 January 2018.

Table 3: Disaster Management System Cycle Activities (18)

Phases Activities



Set up the land use planning and controlling the

occupation of the high hazard area.

Technological advancement used to mitigate the

effect of a disaster.

Set up preventive measures to control developing

situations.

Enforcing the building codes to make the

improvement in disaster resistance of the structure.

To set up tax incentives or disincentives.

To make sure the application of proper methods in

terms of rebuilding buildings and infrastructures

after disasters.

Measuring the potential extreme hazards by using

risk analysis technique or risk assessment.

To enforce the use of insurance plans to reduce

disasters financial impacts.

Hire a manpower for emergency services.

Set up the community volunteer groups.

Planning for emergency and logistical.

Acquiring and stockpiling necessary items.

Develop the mutual aid agreements and

memorandum with other organization or agency,

NGOs, or other countries and international

organization.

Figure 2: Conceptual Framework.

2.8 Mapping Problem Statement, Research Objective,

Research Question



The questionnaires will help to know the rating of disaster

aid program based on the factors in planning movement of

goods. In this research, there are a lot of secondary data that

has been collected from newspaper, report, and data from the

authorities. All the secondary data that have been collected are

being acknowledged or citied and present in the bibliography

of the research report. The journal and articles journal are also

found at website.



Table 4: Mapping PS, RO, RQ and Data Analysis

Problem

Statement

Research

Objective

Research

Question

Data

Analysis

1. To identify 1. What is the



Provide training for both response manpower and

concerned citizens.

Budgeting.

Obtaining necessary vehicles and equipment.

Acquiring, stockpiling and maintaining emergency

supplies.

Construct the central and regional emergency

operation centers.

Develop the communication systems.

Plan a regular training to train manpower and test

the capabilities.

Activating emergency operations plan and centers.

Evacuating disaster areas

Opening shelters and providing mass care

Provide emergency infrastructure protection and

recover the lifeline services

Provide the emergency rescue and medical care

Commit the searching and rescue of the victims

Set up fatality management

Deploy police or military forces for ensuring the

security of affected areas.

Provide disaster debris cleanup

Provide the financial assistance to individuals and

overnments

Rebuilding roads, bridges and key facilities

Provide sustain mass care for displace people and

animals

the level of

satisfaction

of floods

floods

. Descriptive

customer

satisfaction

level towards

the disaster

aid

Analysis,

Frequency,

mean,



victims

towards the

disaster aid

programs.

programs?



There are

some

complaint by

the customers

that they not

satisfied



. To identify 2. What are

the factors

that affect the that affect

customer

satisfaction

the factors



Exploratory

Factor

Analysis

towards

disaster aid

customer

satisfaction

during

disaster aid

programs?

programs and during

this issues

disaster aid

programs.

always have

been rising

issues during

meeting after

the response

phase.



.To examine 3. What is the

relationship

between

movement of

goods and

customer

satisfaction

during

disaster relief

programs

relationship

between

planning of

movement of

good and the

customer

satisfaction

during the

flood event?



. Inferential

Analysis,

Correlation



Reburying displace human remains

Fully restore lifeline services

Provide mental health and pastoral care

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0202, Volume 8, Issue 1, Pages: 914-908

method could be used to reveal the basic structure of various

set of variables. It can also give the researcher some

information about the relationship between the variables

measured in the research. By conducting EFA, the researcher

could identify the basic structure of the variables in the

research.

Moreover, correlation measures the relationship between

dependent and independent variables. In this research,

researcher used correlation to examine the relationship

between movement of goods and the customer satisfaction

during the flood event.

According to Hauke and Kossowski, there are two types of

correlation data analysis, which are identified as Pearson

product moment correlation and Spearman rank-order

correlation (19). Pearson product moment correlation is a

technique that can be used to evaluate two continuous

variables of the research. For example, Pearson product

moment correlation has been used to investigate whether

changes in temperature have been related to the water level.

In general, correlation is a data analysis technique to

determine the relationship between two variables. It can

measure the strength of the relationship between the variables.

In this research, researcher wanted to examine the relationship

between movement of goods and customer satisfaction during

disaster relief programs (6).

Figure 5: Data Sources

In order to collect data, the researcher created a sampling

size that would be a group from population. This has been done

to achieve a significantly accurate number of respondents.

Population of the study have been selected for this 189,820

people based on the latest survey on 2010. It has been reported

by the Department of statistics. The relevant population might

not involve in these surveys. One of the limitations faced by

the researcher is that the questionnaires could not be

distributed to all the population. The reason from the

researcher is that the number of population has been too high.

Therefore, the sample size would be calculated based on the

frame. Table 5 shows the total number of victims at Segamat,

Johor on 24 January 2017.

Findings and Discussion

After data collection, a reliability test has been run to

examine whether it is dependable and accurate among

measurement. Then, the researcher used SPSS to generate all

results. This chapter consists of description of data, findings,

and discussion. The purpose of this analysis has been to relate

the objectives of the research.

Table 5: Sample Frame of Total of flood victims on 24 January 2018

Number of

Evacuation

Centre

Total

Victims

Parliament

Dun

Kemelah

Pemanis

Jementah

1 475

4 568

549

Sekijang

Segamat

Labis

Table 6: Research objective and data analysis

Buloh Kasap 20

1 264

Objectives

. To identify the level of satisfaction

Data Analysis

Tenang

Bekok

999

of floods victims towards the disaster

aid programs.

Descriptive Analysis

Total of number of victims

8 890

. To identify the factors that affect the

In this research, researcher used the Kerjie and Morgan's

formula to determine the sample size based on the sample

frame of population 8 890. Table 6 presents the determined

sample size of a known population. According to the table, the

sample size based on the population includes 367 respondents.

Data obtained by this research would be analyzed by

SPSS, which is a comprehensive software for data analysis.

The data collected from the respondents are key for SPSS and

would be interpreted by coding to generate a tabulated report,

charts, descriptive analysis, and inferential analysis.

Descriptive analysis using the frequency analysis has been

used to analyze the level of customer satisfaction with the

disaster aid program. The second objective has been to identify

the factors affecting the customer satisfaction during disaster

aid programs. This objective has been examined by descriptive

analysis. The correlation has been also used to examine the

relationship between planning movement of goods and

customer satisfaction with the disaster aid programs.

Exploratory Factor

Analysis

customer satisfaction during disaster

aid programs.

movement of goods and customer

satisfaction during disaster relief

programs

. To examine relationship between

Spearman Correlation

Therefore, questionnaires have been distributed among

367 respondents around October 2018. Then, 367 respondents

received the questionnaires with 60% response rate. However,

147 respondents have been rejected due to incompleteness and

only 220 completed questionnaires have been left to be

processed. According to Fincham JE, increase in the response

rates, which has been close to 60% from the mixed-mode

approach, could help to reduce the problem of coverage error

in administration of surveys. However, it has been shown that

the response rate did not have bias and has been not enough for

the total respondents (7). Cronbach’s alpha has been tested

after collecting the data to ensure the reliability of the

instruments and internal consistency of data. According to the

In addition, EFA is a technique that can simplify the

variables related to each other in an orderly manner. This

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rules of Cronbach’s alpha test, if value of Cronbach’s alpha

test has been less than 0.6 (60%), then questionnaire should be

reedited. Table 4.2 reports the Cronbach’s alpha value of the

data of this research. Therefore, the value of Cronbach alpha

coefficient in this testing, which has been .967, has been

interpreted as higher desirable standard. There are some

common techniques using graphical, which are Q-Q

probability plots and statistical, which are Shapiro-Wilks test

and Kolmogorov-Smirnov test. For example, Figure 4.1 (Q-Q

plots) displays the observed values against normally

distributed data that is represented by the line. Normally

distributed data fall along the line. Using the skewness,

kurtosis, and Shapiro-Wilk have been used to test the

normality of data. Then, the result of normality test has been

compared to the scale provided by statistician for this test.

Table 4.16 is a summary of the statistic book (8).

Table 10: Descriptive Table for Planning Movement of Goods

Statistic Std. Error

Mean

56.6955 1.37348

95% Confidence Interval Lower Bound 53.9885

for Mean

Upper Bound 59.4024

% Trimmed Mean 55.6515

Median

53.5000

Variance

415.016

Std. Deviation

Minimum

20.37195

24.00

Maximum

Range

Interquartile Range

Skewness

115.00

91.00

32.00

.614

.164

.327

Kurtosis

-.545

Figure 6: Display of Q - Q Plot Normal Distribution

Table 8: Descriptive Table for customer satisfaction (dv)

Statistic Std. Error

Mean

19.7455 .48317

5% Confidence Interval Lower Bound 18.7932

Figure 7: Q – Q plot for customer satisfaction

for Mean

Upper Bound 20.6977

% Trimmed Mean 19.6162

Median

Variance

Std. Deviation

Minimum

Maximum

20.0000

51.360

7.16656

8.00

34.00

Table 11: Test of normality

Kolmogorov-Smirnov

Shapiro-Wilk

Statistic

.124

220

Sig.

.000

Statistic

.928

220

Sig.

.000

a. Lilliefors Significance Correction

Range

26.00

Interquartile Range

Skewness

13.00

.063

-1.304

.164

.327

Kurtosis

Table 12: Summary of the Descriptive Analysis on variable.

Summary

Descriptive

Std.

error

Normality

(±1.9)

According to Table 12, level of customer satisfaction and

planning movement of goods have been not normally

distributed and the value is in the range (±1.96) and kurtosis

value for planning movement of goods is more than (±1.96).

As shown by Tab;e 13, Kolmogorov - Smirnov test and

Shapiro – Wilk test for the two variables showed significance

level (p-value) at .000. It means that the data are not normal.

Statistics

Mean

Skewness

Kurtosis

Mean

19.7455

.063

.48317

.164

Level of

Customer

Satisfaction

-1.304

56.6955

.614

.327

1.37348

.164

Planning

Movement

of Goods

Table 9: Normality Test

Skewness

Kurtosis

Kolmogorov-Smirnov

Shapiro-Wilk

-.545

.327

Statistic

.125

220

Sig.

.000

Statistic

.934

220

Sig.

.000

a. Lilliefors Significance Correction

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0202, Volume 8, Issue 1, Pages: 914-908

value is less than 0.50, the results of factor analysis probably

are not very useful.

Table 15: Correlation of Availability of Supply and Customer

Satisfaction.

Correlations

Availability of Customer

supply

Satisfaction

Correlation

Coefficient

of Supply Sig. (2-tailed)

.762

.000

Availability

.000

220

Spearman's

rho

220

Correlation

Coefficient

762

1.000

Customer

Satisfaction Sig. (2-tailed)

.000

220

Figure 8: Q - Q Plot Movement of Goods (iv).

220

**. Correlation is significant at the 0.01 level (2-tailed).

Table 13: Summary of Normality Test.

Bartlett's Test of Sphericity tests the hypothesis that

correlation matrix is an identified matrix, which indicated that

variables have been not related and therefore they are suitable

for structure detection. The small values less than 0.05 of the

significance levels indicated that a factor analysis may be

useful for the data. Moreover, the relationship between

availability of supply and customer satisfaction has been

investigated using Spearman's rho. According to Table 15,

there has been a strong positive correlation between the two

variables [rho (220)=.762 p<0.01] with high level of

availability of supply associated with high level of customer

satisfaction. Consequently, as reported by Table 15, the yellow

highlighted value in the table reflects that correlation is

significant at the 0.01 level (2- tailed). Furthermore, the value

with green highlight is not significant. The significant value of

availability of supply with customer satisfaction is 0.762.

Finally, in factor 1, the variables are significant because the

values are bigger than 0.00 and below than 1.00.

Kolmogorov-

Shapiro-Wilk

Smirnov

Statistic

Sig.

Statistic

Sig.

Level of

Customer

Satisfaction

Planning

Movement

of goods

a. Lilliefors Significance Correction

Therefore, the researcher used the non- parametric test of

Spearman rank-order correlation, which examined the

relationship between movement of goods and customer

satisfaction during disaster relief programs. The researcher

used Exploratory Factor Analysis (EFA) for the second

objective, which identified the factor affecting the customer

satisfaction during disaster aid programs. In fact, EFA is a

technique that can simplify the variables related to each other

in an orderly manner. The method can be used to reveal the

basic structure of various set of variables. It can also give the

researcher some information about the relationship between

variables measured in the research. By conducting EFA, the

researcher could identify the basic structure of the variables in

the research.

Table 16: Correlation of water, sanitation, and hygiene with customer

satisfaction.

Correlations

Water,

Sanitation,

Satisfaction

and hygiene

Customer

Water,

Sanitation,

and

Correlation

Coefficient

Sig. (2-tailed)

Correlation

Coefficient

Sig. (2-tailed)

.521

1.000

.000

220

Spearman's hygiene

rho

220

Table 14: KMO and Bartlett’s Test.

.521

1.000

Customer

Satisfaction

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

Approx. Chi-Square

.000

220

.922

4618.766

253

220

**. Correlation is significant at the 0.01 level (2-tailed).

Bartlett's Test of Sphericity

Sig.

.000

The relationship between aid water, sanitation, and

hygiene and customer satisfaction has been investigated using

Spearman's rho. Based on Table 16, there has been a strong

positive correlation between the two variables [rho (220) =.521

p<0.01], with high level of aid water, sanitation, and hygiene

associated with high level of customer satisfaction. Table 16

shows that the yellow highlighted value reflects the

significance of correlation at 0.01 (2- tailed). However, the

Table 14 shows that two tests indicate the suitability of

data for structure detection. The Kaiser-Meyer-Olkin Measure

of Sampling Adequacy is a statistic that reflects the proportion

of variance in variable, which might cause underlying factors.

Moreover, the high value close to 1.0 generally indicates that

factor analysis might be useful with the data. Actually, if the

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0202, Volume 8, Issue 1, Pages: 914-908

value with the green highlight is not significant. In addition,

the significant value of aid water, sanitation, and hygiene with

customer satisfaction is 0.521. For conclusion in factor 2, the

variables have been shown to be significant because the values

are bigger than 0.00 and below than 1.00.

Conclusion and Discussion

According to the results, there has been a significant

relationship between availability of supply and the customer

satisfaction during disaster aid programs. According to Liu,

availability of supply and delivery in the preparedness phase is

important in humanitarian aid and disaster relief (17).

Therefore, customer's needs should be met during disaster

program and it should be not an issue after the response phase.

Furthermore, there has been a significant relationship between

water, sanitation, and hygiene and the customer satisfaction

during disaster aid programs. According to Liu, the organizer

should optimize their resources utilization in order to manage

water, sanitation, and hygiene, some of them may be proper in

humanitarian aid such as just in time (17). Thus, it is important

to fulfil the customer demand and increase their satisfaction

level. There has been a significant relationship between

competency and the customer satisfaction. Moreover, there has

been a significant relationship between competency and the

customer satisfaction. According to Liu, the competency can

maximize the level of satisfaction of customer (17). However,

there have been several limitations faced by researcher.

Limitation refers to several problems that are obstacles to the

researcher to get the data.

For example, the researcher should face an unexpected

situation while distributing questionnaires through online

survey such the Facebook as platform. Then, the link of survey

has been posted and the respondents have been asked to

complete them as the victims affected during the flood event.

Afterwards, people started argued what the researcher

intended for this research. Sometimes, the researcher needed

to handle people fighting and complaints of many things

during disaster programs. Some people had no full

commitment throughout the research and refused to answer.

This happened when the researcher distributed the

questionnaires to Jementah, Segamat area. However,

translated version of Malay has been produced but some

residents have been not fully supported.

Evacuation centre during disaster aid program need to be

improved in terms of comfortability to all victims. Many

respondents complained that they have been not provided by

the organizer tent to all the victims. They still used the mat as

their place for sleeping and resting. The tent should be

provided in order cover victims and it should be organized in

a way that one tent is delivered for one family. It is important

to avoid the theft and provide the security of female family

member and children. In addition, family member should

cover their aurat, especially if they have baby who is fed

breastfeeding and during sleeping time. Senior netizen also

must be organized at the place that is easy for them to move

and clean. Thus, they should be avoided from any infection

and disease such as fever and flu. Blanket must be also

provided to all victims especially to babies, senior netizen, and

others. Finally, people should be avoided from mosquito and

cold during the rainy season.

Table 17: Correlation of competency and customer satisfaction.

Correlations

Customer

Competency

Satisfaction

Correlation

Coefficient

Sig. (2-tailed)

.781

.000

Competency

Customer

.000

220

Spearman's

rho

220

Correlation

Coefficient

781

1.000

Satisfaction Sig. (2-tailed)

.000

220

**. Correlation is significant at the 0.01 level (2-tailed).

The relationship between competencies and customer

satisfaction has been investigated using Spearman's rho. Based

on Table 17, there has been a strong positive correlation

between the two variables [rho (220) =.781 p<0.01], so that

competency has been associated with high level of customer

satisfaction.

According to Table 4.17, the yellow highlighted value in

the table represents that correlation is significant at the 0.01

level (2- tailed). However, the value with green highlight is not

significant. Moreover, the significant value of competency

with customer satisfaction is 0.781. For conclusion in factor 3,

the variables have been shown to be significant because the

values is bigger than 0.00 and below than 1.00.

Table 18: Summary of Research Question and Hypothesis

Research Question and Hypothesis

Result

Research What is the relationship between planning of

Question movement of good and the customer satisfaction

during the disaster programs?

There are significant relationship

between availability of supply with

customer satisfaction.

H1 ( a )

Supported

There are significant relationship

between water, sanitation, hygiene with

customer satisfaction.

There are significant relationship

between competencies with customer

satisfaction.

H2 ( b )

H3 ( c )

Based on Table 18, there is a significant relationship

between availability of supply and customer satisfaction.

There has been a significant relationship between aid inventory

planning and the customer satisfaction. In addition, there has

been significant relationship between water, sanitation, and

hygiene and the customer satisfaction. Moreover, a significant

relationship has been found between competency and the

customer satisfaction. Therefore, the hypothesis has been

accepted and supported because they had large impact

referring to the Cohen guidelines.

Therefore, agencies must improve their task especially

those involved in the planning movement of goods. The speed

of delivering the aid such as food and beverages must also

improve their just-in-time method; that is, they should fulfill

the customer needs. Department Social and Welfare must

recruit a large team to manage disaster program during flood

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Journal of Environmental Treatment Techniques

0202, Volume 8, Issue 1, Pages: 914-908

event because the lack of staff can result in issues so that they

may not accept the aid in faster speed and make the movement

of good delay. Hence, sufficient goods must be provided

because sometimes the huge flood disaster can block the path

between village and city. In addition, some children may need

adequate diapers and formula milk.

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