Analysis of Jig Supplier Selection with Analytical Hierarchy Process
Method: Case Study at Purchasing Department at PT Patlite
Indonesia
Roza Andila and Rahmat Hidayat
Business Administration Study Program, Politeknik Negeri Batam, Jl. Ahmad Yani, Batam Centre 29461, Indonesia
Keywords: AHP, Quality, Price, Delivery, Supplier Profile, Service, Jig Supplier.
Abstract: PT Patlite Indonesia is a manufacturing industry that produces Warning Signal Lamp. The increasing number
and types of products affect the raw materials and equipment used, due to limited production capacity, labor,
and other production facilities, causing PT Patlite Indonesia to rely heavily on suppliers. The most widely
used equipment in the production process at PT Patlite Indonesia is the Jig. This jig supports the entire
production process. The purpose of this study is to find the criteria that are considered important in the
selection of jig suppliers and the order of priority for the best jig suppliers at PT Patlite Indonesia. The research
method used is the Analytical Hierarchy Process (AHP) method with qualitative descriptive analysis tools
and data processing using Ms. Excel. The results of this study indicate several criteria that are considered
important, namely Quality, Price, Delivery, Supplier Profile, Service, and Supplier The best Jig with the
highest weight being the order of top priority is PT Media Sarana Sukses with a total weight of 0.681 or 68.1%,
the second priority is PT Ingram Indonesia Jaya with a total alternative weight of 0.226 or 22.6% and the last
priority with the lowest weight is PT Buana Batam Mandiri with a total alternative weight of 0.093 or 9.3%.
1 INTRODUCTION
Jigs are work tools commonly used in the production
process. Jigs come in different types depending on
their intended use. Jigs can also be defined as a
special tool that is useful for holding, holding, and
maintaining the position of the workpiece during the
production process so that the quality of the resulting
product is uniform. Apart from being a work tool,
several other types of jigs are also useful as function
test tools for finished goods. Jigs have many benefits
for manufacturing companies that produce large
quantities of products every day, including time
efficiency and maintaining the quality of the products
produced.
In the growing world of the manufacturing
industry in Batam, every industry is required to
compete with each other. To win the competition, the
company must be able to maximize every process that
is carried out, starting from the procurement process
and then producing to delivery of goods. In addition,
companies must also be able to meet increasing
market demand, to satisfy consumer needs,
companies must be able to produce products with the
best quality and increase production rates to meet
consumer needs. Good product quality is certainly the
result of a good and precise production process. The
production process is very dependent on the
procurement of raw materials.
The procurement of raw materials is the first step
before the production process. The procurement of
raw materials plays an important role in facilitating
the production process. The procurement of raw
materials also has several very important functions,
including being responsible for ensuring the
efficiency of all raw materials and services and
having to find and maintain good relationships with
suppliers. To meet the availability of quality raw
materials and as needed, companies must find and
find the right supplier. The right supplier will provide
many advantages, such as obtaining raw materials at
a more affordable price, the availability of products
with raw materials delivered on time, being able to
meet needs in certain circumstances with short lead
times, as well as good quality and according to
standards. To determine the supplier, you must go
through a selection or decision-making process
because, in addition to being a supplier of raw
408
Andila, R. and Hidayat, R.
Analysis of Jig Supplier Selection with Analytical Hierarchy Process Method: Case Study at Purchasing Department at PT Patlite Indonesia.
DOI: 10.5220/0010935000003255
In Proceedings of the 3rd International Conference on Applied Economics and Social Science (ICAESS 2021), pages 408-417
ISBN: 978-989-758-605-7
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
materials, suppliers will also be partners who work
together for the progress of the company.
Supplier selection becomes very important
because it will affect the company's production. The
selection is made to get the expected supplier and by
the criteria desired by the company. Problems that
often occur so far regarding the selection of suppliers
are wrong in making decisions or alternative suppliers
that do not meet all the required criteria. Companies
must know what criteria they need and be a priority
so that they are right in making decisions to choose
the best supplier.
PT Patlite Indonesia is part of the Japanese Patlite
Corporation. PT Patlite Indonesia is a manufacturing
industry that produces Warning Signal Lamps and has
grown rapidly since its inception due to huge
consumer needs. The increasing number and types of
products will certainly affect the raw materials and
equipment used, due to limited internal capacity and
production equipment, it is impossible to produce all
the raw materials needed, this causes PT Patlite
Indonesia to rely heavily on suppliers. If you choose
the wrong supplier, it can have a bad impact on
production. The selection of suppliers for each raw
material at PT Patlite Indonesia is handled by the
purchasing department.
The Purchasing Department at PT Patlite
Indonesia handles purchases for two types of raw
material needs, namely main raw materials and
factory supply. Factory Supply is an internal need for
each section that supports the production process
which consists of several parts, namely tooling, parts,
repair, calibration, and other needs that are commonly
used every month such as safety tools and equipment,
labels for finished products, and also tools. . The need
for tooling is one that must be considered because
tooling is a requirement that includes work tools, one
of which is a jig and also tool repair. This jig supports
the entire production process. PT Patlite Indonesia
has three types of jigs used, namely function jigs
which are useful for viewing and ensuring the
accuracy of finished goods functions, jigs which are
useful as work aids such as holding and holding
objects during the production process so that they
remain stable, and Firmware which is a master code
or software used to create a jig work system according
to standards and needs.
Based on a preliminary interview conducted with
the Assistant Purchasing Manager of PT Patlite
Indonesia, there is an explanation of the criteria used
in the selection of jig suppliers consisting of price,
quality, and delivery (lead time). The price standard
only focuses on the lowest price offered by the
supplier and the lead time standard is evaluated
according to the timeliness of delivery with the
specified schedule and quality is evaluated according
to the drawings and specifications provided by the
Engineering department. The selection of jig
suppliers at PT Patlite Indonesia requires other
criteria that suppliers should have and not only based
on 3 criteria so that they can be taken into
consideration to make it even better and this criterion
also still follows the criteria for other products and
has not been standardized for factory supply products.
Therefore, this research was conducted to look at
other criteria that might be needed and be taken into
consideration for choosing the priority suppliers
needed. In general, by using the AHP method, the
resulting priorities will be theoretically consistent,
logical, transparent, and participatory. Based on this
background, it is hoped that "Analysis of Jig Supplier
Selection with the Analytic Hierarchy Process (AHP)
Case Study Method at the Purchasing Department at
PT Patlite Indonesia." This can help companies,
especially the purchasing department, in determining
the right supplier for jig products.
2 LITERATURE REVIEW
2.1 Supplier Selection
Supplier selection is a multi-criteria problem where
each criterion used has different interests and
information about it is not known precisely
(Noviandri et al., 2015). The selection of suppliers
must be adjusted to the criteria most needed by the
company. This supplier selection certainly has a
major impact on the company's sustainability, this is
evidenced by the company's financial condition. The
right supplier can reduce the cost of spending or
purchasing. However, the selection of this supplier
cannot only be assessed in terms of price but must
also pay attention to other criteria such as product
quality, accuracy in delivery, supplier response, and
others. The more criteria the company wants to
choose suppliers make the problem more
complicated, therefore a decision-making technique
is needed in supplier selection (Rimantho et al.,
2017).
2.2 AHP (Analytical Hierarchy Process)
The Analytic Hierarchy Process method or
commonly referred to as AHP was first developed by
Dr. Thomas L. Saaty in 1970. The AHP method is a
mathematical decision-making system. AHP uses
input centered on the perception of experts. Experts
Analysis of Jig Supplier Selection with Analytical Hierarchy Process Method: Case Study at Purchasing Department at PT Patlite Indonesia
409
are people who understand the problem or have an
interest in the problem. According to Saaty and
Vargas (2012), AHP is a form of decision selection
that allows users to form opinions and provide
boundaries to problems through estimates or
conjectures and produce the desired problem
resolution. The AHP method can be used to solve
various problems, analyze benefit and cost decisions,
rank available alternatives, forecast, and set
development priorities for business units and other
complex problems.
2.3 AHP Method Principle
The AHP method is built on three main principles
(Saaty, 1980), including:
a. Principles of hierarchical structure
The Hierarchical arrangement is done to
obtain detailed knowledge.
b. The principle of setting priorities
Priorities are determined based on the opinion
of experts and related parties who are competent
in making decisions.
c. Principle of logical consistency
The application of the principle of logical
consistency covers both qualitative and
quantitative aspects of the human brain.
2.4 Framework
The framework of thought contained in this research
is as follows:
(source: data processing, 2021)
Figure 1: Framework.
3 RESEARCH METHOD
3.1 Design, Focus, and Subject
The research conducted is a type of qualitative
research with the focus of research is the
implementation of the policy of determining the most
important criteria and according to the needs of PT
Patlite Indonesia in choosing the best jig supplier
priority that meets these criteria. The research
subjects were 4 people, namely Assistant Manager for
Purchasing, Supervisor for Purchasing, Operator for
Purchasing, Assistant Supervisor for Equipment
Engineering.
3.2 Data Type
The primary data in this study are the results of in-
depth interviews with resource persons in the
purchasing and equipment engineering department
regarding the assessment of jig suppliers. Secondary
data in the form of company profiles, supplier data,
and documents related to jigs.
3.3 Data Collection Technique
Data collection techniques in this study using in-
depth interviews or can also be called in-depth
interviews are interactions/conversations that occur
between one interviewer and one informant
(Manzilati, 2017).
3.4 Stages of Data Processing
The stages of data processing in this study are as
follows:
Criteria 1 Criteria 2 Criteria 3 Criteria 4 Criteria 5
Supplier A Supplier B Supplier C
AHP Analysis
Alternative Jig Supplier Selection
Best Jig Supplier Priorit
y
Jig Supplier Selection Criteria
Respondents' perception
of the importance of
each criterion
Respondents'
perceptions of supplier
performance related to
each criterion
ICAESS 2021 - The International Conference on Applied Economics and Social Science
410
(source: data processing, 2021)
Figure 2: Stages of Data Processing.
Based on Figure 2 above, the following is an
explanation of the stages of data processing in this
study:
1. Identify the problem
The purpose of this stage is to find out the cause of a
problem and what the right solution is to solve it
2. Setting Goals
Goal setting is useful for determining problem
boundaries so that research becomes clear and
directed
3. Develop a supplier selection hierarchy
4. Do pairwise comparisons
Pairwise comparisons are made based on
(judgment) by assessing the importance of one
element compared to other elements. The following
is the priority scale in the pairwise comparison
assessment:
Table 1: Pairwise Comparison Rating Scale.
(source: Saaty, 1994)
The assessment of criteria and alternatives is
carried out by several experts, while the use of the
AHP method only requires data obtained from the
assessment of one expert. According to research
conducted by Hati and Fitri (2017) that the
assessments made by respondents, then the results
will be averaged using the Geometric Mean average.
This is done because AHP only requires one answer
for the pairwise comparison matrix. The formula used
to find the geometric mean value is as follows:
(1)
Where: G : Geometric Mean
X1: Participant Assessment 1
X2: Participant Assessment 2
X3: Participant Assessment 3
n : Many Criteria
5. Melakukan perhitungan normalisasi dan
pembobotan
(2)
After calculating the value of the normalized matrix
elements, a calculation will be carried out to get the
weight or priority value
(3)
6. Calculating the Maximum Eigen Value
a. Multiply each value in the first column by the
priority of the first element and the value in the
second column by the second priority, and so on.
b. Adding each row of multiplication
results.
c. The result of the sum of each row is then
divided by the priority element concerned
d. Calculating the number of quotients
above then divided by the number of
elements, it will get λmax.
7. Calculating the value of consistency index and
consistency ratio
Start
NO
YES
Finished
Calculating Consistency Index (CI) and Consistency Ratio (CR)
Values
Calculating the Preference Value of Each Alternative and
Co mpiling Priority Ranking
The Best Jig Supplier with the Most Suitable C riteria fo r PT
Patlite Indonesia Needs
Identification of problems
Esta blishing a Sup plier Se lection Hierarchy
Determining Research Objectives / Goals
Perform Pairwise Comparison Calculations Based on Priority
Scale
Performing No rmaliza tio n and Weighting Ca lculations
Calculating Maximum Eigen Value (λmax)
CONSISTENCY
CR ≤ 0.1
3
1
KeteranganDefinisi
Intensity of
interest
Opposite
2, 4, 6, 8
9
7
5
If for activity i gets 1 point compared to activity j, then j has the opposite value
compared to i
Values between two adjacent considerations
One element is absolutely more important than
the other elements
One element is very important than the other
elements
One element is more important than the other
elements
One element is slightly more important than the
other
Both elements are equally important
Equally to moderate Importance
Extreme Importance
Very Strong Importance
Strong Importance
Moderate Importance
Equal Importance
Analysis of Jig Supplier Selection with Analytical Hierarchy Process Method: Case Study at Purchasing Department at PT Patlite Indonesia
411
(4)
Where: CI: Consistency Index
n: Many Criteria
(5)
Where: CR: Consistency Ratio
RI: Random Consistency Index
Table 2: Random Consistency Index.
(source: Saaty, 1994)
8. Arrange Priority Ranking
Determining the priority weight value
obtained by adding the weight value of the
comparison between criteria multiplied by the
weight value of the comparison of alternative
answers (Hati and Nelmi, 2017).
9. Determine the best jig supplier
After finding the calculation results between
the criteria and alternatives, the best jig
supplier is determined which has the highest
weight as a priority and the order after that.
4 RESULTS AND DISCUSSION
4.1 Supplier Selection Criteria and
Alternative Supplier Jig
PT Patlite previously had 3 basic criteria that had
been used in supplier selection, namely price, quality,
and delivery (lead time), and through the interview
process that had been carried out previously, other
criteria that were considered important were obtained,
namely supplier and service profiles. These criteria
become a reference in choosing the right jig supplier.
The criteria for selecting a jig supplier are as follows:
a. Quality
The supplier can provide quality by the company's
wishes and produce jigs according to the agreed
drawings.
b. Price
Suppliers can offer the best and affordable prices.
c. Delivery
The supplier can deliver the jig on time according to
the agreed schedule.
d. Supplier Profile
A Supplier with a good reputation, history, capacity,
and adequate production facilities
e. Service
The supplier can respond to every complaint and
request properly and responsively
The alternatives contained in this study are several
suppliers who have collaborated with PT Patlite
Indonesia. The alternatives include PT Media Sarana
Sukses (MSS), PT Ingram Indonesia Jaya
(INGRAM), CV Buana Batam Mandiri (BBM).
After the criteria and alternatives are obtained, the
first step in the data processing stage is compiling a
jig supplier selection hierarchy. The results of the
initial data processing before conducting the
consistency test in this study are as follows:
1. Preparation of the Jig Supplier Selection
Hierarchy
After the criteria and alternatives are obtained, the
next step is to develop a jig supplier selection
hierarchy. This jig supplier selection hierarchy is
structured to see in detail the objectives, criteria, and
alternatives to be evaluated
(Source: Data Processing, 2021)
Figure 3: Jig Supplier Selection Hierarchical Structure.
2. Pairwise Comparison Matrix
A pairwise comparison matrix is made based on
an assessment of the importance of one element
compared to other elements. As for several pairwise
comparison matrices between criteria and
alternatives, each geometric mean value has been
obtained as follows:
(6)
If element (7)
Then (8)
For
a

= a

= a

= a

= a

= 1
n12345678910
RI
0 0 0.58 0.9 1.121.241.321.411.451.49
ICAESS 2021 - The International Conference on Applied Economics and Social Science
412
Table 3: Geometric Mean Overall Criteria Paired
Comparison Matrix.
(source: data processing, 2021)
The Geometric Mean calculation process is also
carried out for pairwise comparison matrices between
alternative jig suppliers with the same steps.
4.2 Weighting and Consistency Test
The consistency test is to calculate the consistency
ratio of the weights of each criterion and alternative.
This is done to determine whether the weighting is
consistent. Before performing the consistency test,
the results of pairwise comparisons will be
normalized first. The data normalization calculations
in Table 3 are as follows:
1. Calculation of Consistency Test for Jig
Supplier Selection Criteria
Table 4: Results of Normalization of Criteria Matrix.
(source: data processing, 2021)
The quality weight value in the first row with a
total of 2.73 is divided by many criteria, namely 5, it
becomes 0.546, and so on for each row, the
weight/priority is obtained as can be seen in Table 4.
The next step is to calculate the Maximum Eigen
Value (λmax) by multiplying the pairwise
comparison matrix in Table 3 with the weight/priority
concerned and then adding up each row as follows:
Based on the above calculation, the number is
obtained from the multiplication of the pairwise
comparison matrix with the weights/priorities. The
way to get the total value for quality is (1.00*0.55) +
(7.00*0.08) + (6.26*0.07) + (5.13*0.18) +
(4.22*0.13) = 2.98, the sum for the price is obtained
from the calculation (0.14*0.55) + (1.00*0.08) +
(2.03*0.07) + ( 0.28*0.18) + (0.33*0.13) = 0.39, the
amount for shipping is obtained from the calculation
(0.16*0.55) + (0.49*0.08) + ( 1.00*0.07) +
(0.36*0.18) + (0.84*0.13) = 0.37, the number for
supplier profile is obtained from the calculation
(0.19*0.55) + (3.56*0.08) + (2.76*0.07) +
(1.00*0.18) + (1.71*0.13) = 0.97, the number for
services is obtained from the calculation (0.24*0.55)
+ (3.00*0.08) + (1.19*0.07) + (0.58*0.18) +
(1.00*0.13) = 0.67. Then the sum of each row is
divided by the corresponding weight/priority as
follows:
Based on the above calculations, the results are
obtained from the calculation of the number divided
by the weight/priority. The total quality is 2.98
divided by the weight of 0.55, then the result is 5.46.
The total price of 0.39 is divided by a weight of 0.08,
so the result is 5.12. The number of shipments is 0.37
divided by a weight of 0.07, so the result is 5.19. The
number of supplier profiles is 0.97 divided by a
weight of 0.18, so the result is 5.36. The number of
services is 0.67 divided by a weight of 0.13, then the
result is 5.56. After that, calculate all the total results
and divide the number of elements, it will get max as
follows:
(9)
If you have obtained the maximum eigen value,
the next step is to calculate the consistency index (CI)
value. The CI value is calculated to ensure the
consistency level of decision makers when filling out
pairwise comparison values between criteria. The
way to calculate the CI value is as follows:
(10)
To get the consistency ratio (CR) value, the next
step is to divide the consistency index (CI) value with
the Random Index value. A pairwise comparison
matrix is declared consistent if the CR value is not
more than or equal to 0.1 or 10%. If not, then the
assessment that has been made may be done
randomly and needs to be corrected or data retrieval
is carried out. The value of n = 5 then the value of RI
Quality Price Delivery Supplier Profile Service
Quality
1,00 7,00 6,26 5,13 4,22
Price
0,14 1,00 2,03 0,28 0,33
Delivery
0,16 0,49 1,00 0,36 0,84
Supplier Profile
0,19 3,56 2,76 1,00 1,71
Service
0,24 3,00 1,19 0,58 1,00
Σ
1,73 15,05 13,23 7,36 8,10
Quality Price Delivery Supplier Profile Service Total Weight / Priority
Quality
0,58 0,47 0,47 0,70 0,52 2,73 0,546
Price
0,08 0,07 0,15 0,04 0,04 0,38 0,076
Delivery
0,09 0,03 0,08 0,05 0,10 0,35 0,071
Supplier Profile
0,11 0,24 0,21 0,14 0,21 0,90 0,181
Service
0,14 0,20 0,09 0,08 0,12 0,63 0,126
Analysis of Jig Supplier Selection with Analytical Hierarchy Process Method: Case Study at Purchasing Department at PT Patlite Indonesia
413
is 1.12. The RI value was obtained from the random
consistency index table with the number of n as many
as 5. The calculation of the CR value was as follows:
(11)
If the consistency value of CR <0.1 then it is
declared consistent and the assessment given by the
participants is considered appropriate. Based on the
calculation of the consistency ratio above, it can be
seen that the results of the calculation of the criteria
are declared consistent because the CR value is <0.1
where the CR value of 0.07 is not greater than 0.1 and
the assessment given by the participants is considered
appropriate.
The process of calculating the consistency test
between these criteria is also carried out on the
consistency test between alternative jig suppliers
against each criterion with the same steps.
Table 5: Weight and Order of Ranking Criteria.
(source: data processing, 2021)
Based on Table 4 above, it is clear that the criteria
that are considered the most important and must be
owned by jig suppliers are quality with a weight of
0.546 or 54.6%, the second most important criterion
is the supplier profile with a weight of 0.181 or
18.1%, criteria with the next position is service with
a weight of 0.126 or 12.6%, then followed by price
criteria with a weight of 0.076 or 7.6% and in the last
position is delivery with a weight of 0.071 or 7.1%.
2. Calculation of the Consistency Test for
Alternative Jig Suppliers against the Criteria
Table 6: Consistency Test for Alternative Jig Suppliers
against Quality Criteria.
(source: data processing, 2021)
The value of CR consistency <0.1 is 0.06, then it
is declared consistent.
Table 7: Consistency Test for Alternative Jig Suppliers
against Price Criteria.
(source: data processing, 2021)
The value of CR consistency <0.1 is 0.04, then it
is declared consistent.
Table 8: Consistency Test for Alternative Jig Suppliers
against Delivery Criteria.
(source: data processing, 2021)
The value of CR consistency <0.1 is 0.01, then it
is declared consistent.
Table 9: Consistency Test for Alternative Supplier Jig
against Supplier Profile Criteria.
(source: data processing, 2021)
The value of CR consistency <0.1 is 0.04, then it
is declared consistent.
Table 10: Consistency Test for Alternative Jig Suppliers
against Service Criteria.
(source: data processing, 2021)
Criteria Weight/ Priority Ranking
Quality
0,546 1
Price
0,076 4
Delivery
0,071 5
Supplier Profile
0,181 2
Service
0,126 3
MSS INGRAM BBM Weight/Priority
Ranking
MS S
0,70 0,74 0,57 0,67 1
INGRAM
0,20 0,21 0,35 0,25 2
BBM
0,10 0,05 0,08 0,08 3
λmaks
CR
RI
CI
0,06
0,58
0,03
3,07
MSS INGRAM BBM Weight/Priority
Ranking
MS S
0,73 0,76 0,64 0,71 1
INGRAM
0,17 0,18 0,27 0,21 2
BBM
0,10 0,06 0,09 0,08 3
λmaks
CR
RI
CI
0,04
0,58
0,02
3,04
MSS INGRAM BBM Weight/Priority
Ranking
MS S
0,58 0,59 0,53 0,56 1
INGRAM
0,34 0,34 0,40 0,36 2
BBM
0,09 0,07 0,08 0,08 3
λmaks
CR
RI
CI
0,01
0,58
0,004
3,01
MSS INGRAM BBM Weight/Priority
Ranking
MS S
0,76 0,68 0,81 0,75 1
INGRAM
0,12 0,11 0,07 0,10 3
BBM
0,12 0,21 0,13 0,15 2
λmaks
CR
RI
CI
0,04
0,58
0,03
3,05
MSS INGRAM BBM Weight/Priority
Ranking
MS S
0,69 0,74 0,58 0,67 1
INGRAM
0,20 0,21 0,33 0,24 2
BBM
0,11 0,06 0,09 0,09 3
λmaks
CR
RI
CI
0,05
0,58
0,03
3,06
ICAESS 2021 - The International Conference on Applied Economics and Social Science
414
The value of CR consistency <0.1 is 0.05, then it
is declared consistent.
4.3 Rank Calculation and Determination
of the Best Jig Supplier
Table 11: Overall Weights/Priorities for each criterion and
alternative.
(source: data processing, 2021)
Based on Table 11 the calculation results for the
weights/priorities on the criteria and alternatives are
carried out by multiplying the weights of each
criterion with the weights of each alternative and then
calculating the number, then the total weight of the
alternatives is obtained. The highest total alternative
weight is the MSS supplier (PT Media Sarana Sukses)
with a total weight of 0.681 or 68.1%. This is
supported by the weight of each criterion that most
MSS can dominate with the highest weight of each
criterion and are in the first rank. In line with the
participant's opinion that the MSS Supplier provides
better quality jigs than other suppliers, not only
quality but other criteria such as relatively lower
prices, timely delivery, supplier profile as evidenced
by adequate production capacity, and facilities such
as complete equipment. compared to other suppliers
as well as good service in responding to jig work
problems and updates. Based on the results of this
weight/priority calculation, MSS becomes the most
priority in choosing a jig supplier.
The INGRAM supplier (PT Ingram Indonesia
Jaya) has a total alternative weight of 0.226 or 22.6%
and this means that the INGRAM supplier also meets
all the criteria quite well and is in the second priority
position after the MSS supplier, but the INGRAM
supplier still has to add experience in focus on jig
work because for the supplier profile criteria
INGRAM is ranked third after the fuel supplier with
a weight of 0.10 or 10% and only 5% difference with
the fuel supplier. In line with the participant's opinion
that the INGRAM supplier also provides quality jigs
that are by the requests or drawings provided and
have never caused problems while being a PT Patlite
Indonesia jig supplier, the prices offered are quite
affordable, deliveries that have never passed the due
date and adequate service. both in terms of
communication-related to jig work problems and
providing support if there is a request for a direct visit
by PT Patlite Indonesia.
The alternative Jig Supplier who is in the last
priority order is the BBM supplier (CV. Buana Batam
Mandiri) with a total alternative weight of 0.093 or
9.3%. The BBM supplier is a new supplier
collaborating with PT Patlite Indonesia for special jig
products, so for each criterion, the BBM supplier has
not been able to be superior to other suppliers.
However, BBM suppliers still meet every criterion
for selecting PT Patlite Indonesia suppliers and BBM
suppliers are also companies that focus on making
machines such as jigs and goods for other industrial
production so that BBM suppliers are superior to
INGRAM suppliers with a weight of 0.15 or 15%
against the Supplier Profile criteria.
Determination of the best jig supplier can be
determined based on the results of the calculation of
the ranking and weight/priority of each criterion and
alternative. The best supplier with the highest total
weight is PT Media Sarana Sukses and this shows that
in the selection of suppliers for jig products the main
priority is PT Media Sarana Sukses and the second
priority is PT Ingram Indonesia Jaya, the last priority
with the lowest weight is PT Buana Batam Mandiri.
5 CONCLUSIONS
Based on the results of research regarding the
selection of jig suppliers using the AHP (Analytical
Hierarchy Process) case study at the Purchasing
Department at PT Patlite Indonesia, the following
conclusions were obtained:
1. Important criteria in selecting a jig supplier at PT
Patlite Indonesia are quality criteria, supplier
profile, service, price, and delivery
2. The criterion that has the highest weight and is in
the first rank order based on the results of the
pairwise comparison matrix calculation is the
quality criterion with a weight of 0.546, followed
MS S INGRAM BBM
Quality 0,546 0,67 0,25 0,08
% 54,6% 67% 25% 8%
123
Price 0,076 0,71 0,21 0,08
% 7,6% 71% 21% 8%
123
Delivery 0,071 0,56 0,36 0,08
% 7,1% 56% 36% 8%
123
Supplier Profile 0,181 0,75 0,10 0,15
% 18,1% 75% 10% 15%
132
Service 0,126 0,67 0,24 0,09
% 12,6% 67% 24% 9%
123
0,681 0,226 0,093
IIIIII
Priority
Total Alternative Weight
Rankin g
Rankin g
Kriteria Weight/Priority
Alternative
Rankin g
Rankin g
Rankin g
Analysis of Jig Supplier Selection with Analytical Hierarchy Process Method: Case Study at Purchasing Department at PT Patlite Indonesia
415
by the second rank, namely the supplier profile
criterion of 0.181, the third rank of the service
criterion of 0.126, the fourth rank of the price
criterion of 0.076, and the final ranking of the
delivery criteria with the lowest weight of 0.076.
3. The order of priority for the best jig supplier based
on the total alternative weights is PT Media
Sarana Sukses, followed by the second priority by
PT Ingram Indonesia Jaya, and the last priority by
PT Buana Batam Mandiri
ACKNOWLEDGEMENTS
Acknowledgments are addressed to the Politeknik
Negeri Batam, the academic ranks and staff of the
Business Management Major, as well as The Lecturer
of Applied Business Administration Study Program.
REFERENCES
Ahmadi, H. B., Petrudi, S. H., & Wang, X. (2016).
Integrating Sustainability into Supplier Selection with
Analytical Hierarchy Process and Improved Grey
Relational Analysis: A Case of Telecom Industry.
International Journal Adv Manuf Technol, 15 October
2016, 15.
Arikunto, S. (2010). Prosedur Penelitian Suatu Pendekatan
Prakter . Jakarta: Rineka Cipta.
Arsyad, M. (2019). Perancangan Sistem Pendukung
Keputusan Pemilihan Kepala Sekolah Terbaik Tingkat
Kabupaten Deli Serdang Menggunakan Metode
Analytical Hierarchy Process (AHP). Journal Of
Informatic Pelita Nusantara Volume.4 Nomor. 2, 8.
Arunkumar, N., Karunamoorthy , L., & Muthukumar, S.
(2011). Supplier Evaluation and Selection for A
Manufacturing Industry Using Analytical Hierarchy
Process - A Case Study. International Journal and
Systems Engineering Volume. 8, Nomor. 3 2011, 20.
Asamoah, D., Annan, J., & Nyarko, S. (2012). AHP
Approach for Supplier Evaluation and Selection in a
Pharmaceutical Manufacturing Firm in Ghana.
International Journal of Business and Management
Volume.7 Nomor 10 May 2012, 15.
Astanti, R. D., Mbolla, S. E., & Ai, T. J. (2020). Raw
Material Supplier Selection In A Glove Manufacturing:
Application of AHP and Fuzzy AHP. Decision Science
Letters, 22.
Bruno, G., Esposito, E., Genovese, A., & Passaro, R.
(2012). AHP-Based Approaches for Supplier
Evaluation: Problems and Perspectives. Journal of
Purchasing & Supply Management 18 (2012), 14.
Handayani, R. I., & Darmianti , Y. (2017). Sistem
Pendukung Keputusan Pemilihan Supplier Dengan
Metode Analytical Hierarchy Process pada PT.Cipta
Nuansa Prima Tangerang. Jurnal Techno Nusa Mandiri
Volume. 14, Nomor. 2 September 2017, 8.
Hanum, B., & Asmarani, C. (2015). Analisa Pemilihan
Supplier Sebagai Komponen Pendukung Produksi PT.
XYZ Menggunakan Metode Analytic Hierarchy
Process (AHP). Jurnal PASTI Volume. IX, Nomor.2
2015, 10.
Hati, S. W., & Fitri , N. S. (2017). Analisis Pemilihan
Supplier Pupuk Npk Dengan Metode Analytical
Hierarchy Process (AHP). Jurnal Inovasi Bisnis
Volume 5, Nomor 5, Desember 2017, 11.
Indriantoro, N., & Supono, B. (2013). Metodologi
Penelitian Bisnis untuk Akuntansi dan Manajemen .
Yogyakarta: BPFE Yogyakarta.
Kartawiguna, D., Prayudo, Y. A., Sutiono, M., & Roesly,
H. (2012). Analisis dan Perancangan Sistem
Pendukung Keputusan Pemilihan Pemasok Terbaik dari
Pemasok Tersedia dengan Metode Analytical
Hierarchy Process (AHP). ComTech Computer
Mathematics and Engineering Applications Volume.3
Nomor.2 Desember 2012, 14.
Koc, E., & Burhan, H. A. (2014). An Analytic Hierarchy
Process (AHP) Approach to a Real World Supplier
Selection Problem: A Case Study of Carglass Turkey.
Global Business and Management Research: An
International Journal Volume. 6 Nomor. 1 (2014), 14.
Malik, A. Y., & Haryanti, T. (2018). Penerapan Metode
Analytical Hierarchy Process (AHP) Untuk Sistem
Pendukung Keputusan Pemilihan Program Keahlian
Pada SMK Daarul Ulum Jakarta. Jurnal PILAR Nusa
Mandiri Volume. 14 Nomor. 1, 8.
Munir, M. (2016). Pemilihan Supplier Sodium Hiroxide
Liquid Integrasi dengan Metode AHP - Topsis. Jurnal
Teknik Industri Volume. 17, Nomor. 2 Agustus 2016,
10.
Noviandri , M. R., Tama, I. P., & Yuniarti, R. (2015).
Analysis Pemilihan Supplier Metallic Box
Menggunakan Fuzzy Analytic Hierarchy Process
(AHP). Jurnal Rekayasa dan Manajemen Sistem
Industri Volume.3 No.3 2015, 10.
Pratiwi, I., MZ , H., & Aprilyanti, S. (2018). Pemilihan
Supplier Terbaik Penyedia Barang Consumable
Menggunakan Metode Analytical Hierarchy Process
(Studi kasus di Departemen Pengadaan Barang
PT.PUSRI). Jurnal Manajemen Industri dan Logistik
Volume. 2 Nomor. 2 November 2018, 12.
Purnomo, E. N., Sihwi S.Kom., MTI, S. W., &
Anggrainingsih, R. (2013). Analisis Perbandingan
Menggunakan Metode AHP, TOPSIS, dan AHP-
TOPSIS dalam Studi Kasus Sistem Pendukung
Keputusan Penerimaan Siswa Program Akselerasi.
Jurnal ITSMART Volume. 2 Nomor. 1, 8.
Rakasiswi, L. S., & Badrul, M. (2020). Penerapan Metode
Analytical Hierarchy Process Untuk Pemilihan Siswa
Terbaik. Jurnal PROSISKO Volume. 7 Nomor. 1, 7.
Rimantho, D., Fathurohman, Cahyadi, B., & Sodikun.
(2017). Pemilihan Supplier Rubber Parts Dengan
Metode Analytical Hierarchy Process Di PT.XYZ.
Jurnal Rekayasa Sistem Industri Volume 6 Nomor 2
Oktober 2017, 12.
ICAESS 2021 - The International Conference on Applied Economics and Social Science
416
Rouyendegh, B. D., & Erkan, T. E. (2012). Selecting the
Best Supplier Using Analytic Hierarchy Process (AHP)
Method. African Journal of Business Management
Volume. 6 Nomor. 4, 1 February 2012, 8.
Saaty, T. (1994). How to Make a Decision: The Analytic
Hierarchy Process. Interfaces. University of Pittsburgh:
RWS publication.
Saaty, T., & Vargas, L. (2012). Models, Methods, Concept
& Applications of The Analytic Process. New York:
2nd edition. Springer.
Sugiyono. (2013). Metode Penelitian Pendidikan
Pendekatan Kuantitatif, Kualitatif, dan R&D. Bandung:
Alfabeta.
Sugiyono. (2015). Metode Penelitian Pendidikan (
Pendekatan Kuantitatif, Kualitatif, dan R&D ).
Bandung: Alfabeta.
V, M., Agrawal, R., & Sharma, V. (2014). Supplier
Selection Using Social Sustainability: AHP Based
Approach in India. International Strategic Management
Review 2 November 2014, 15.
Zaman, M. (2020). Supplier Selection Using AHP-VIKOR
and AHP-TOPSIS Method: A Case Study for
Bangladeshi Jute Mill of Khulna Region. International
Journal of Industrial Engineering Volume 7 Issue 1
January - April 2020, 11.
Analysis of Jig Supplier Selection with Analytical Hierarchy Process Method: Case Study at Purchasing Department at PT Patlite Indonesia
417