RESEARCH IN THE FIELD OF COMPUTER SCIENCE AND INFORMATICS EDUCATION V2.I1

RESEARCH IN THE FIELD OF COMPUTER SCIENCE AND INFORMATICS EDUCATION V2.I1

Journal of Edik Informatics Designing

Decision Support System Design for Post-Libraka Selection of Participants Using the Analitycal Hierarchy Process (AHP) Method (Case Study : Department of Youth and Sports Education of West Sumatra Province) Nia Febriyani Lecturer in Information Technology STMIK-AMIK RIAU [email protected]

ABSTRACT Every year, the Youth and Sports Agency will select the Heritage Flag Raising Troops (PASKIBRAKA) to commemorate the anniversary of the Republic of Indonesia’s independence. Students from several schools throughout West Sumatra Province will be called upon to represent their respective schools to participate in the selection of Paskibraka members. AHP in this decision support system produces a selection decision support system application that can be used in Government Agencies. The results of this study are to produce a ranking order of the selected candidate participants and the output of the application can assist decision making in determining participants who meet all the existing criteria.

INTRODUCTION

Data

1.1. Background

forms

Today, the Support System

using applications

integrated

to

a spreadsheet

that

complex

used

up and to

Decision (SPK) in an organization can

accelerate and improve the quality

seen as

a process

critical

to

the activity

and

organization. The use of SPK is not limited to

achieving organizational strategic goals. DSS

at the managerial level, but can be widespread,

can come in various forms, starting

to

support

as

asset

smoothness of

the making

of

the decision

level

positioned

at

an

up

of simple shapes such as processing 102

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Jurnal Edik Informatika

operational, depending on the scope and type of information processed.

In designing this

research

, the system

will try to support one of its decision characteristics

The decision to assist the selection process

can be supported by the SPK, among others, namely

the National level Paskibraka participants in the Office the

decision is structured or semi-structured

Provincial Youth and Sports Education

. Structured in the sense of

Sumatra

to obtain a single decision, there are a

series of selection procedures structured by a

series of procedures that must be followed

and clear, but are not yet supported by

criteria for each procedure a

series of adequate information systems.

The West

which

already

has

a clear and quantitative character, sometimes –

The expected result from the design

is that sometimes the decision maker has

the right to this system is the obtaining of a model that

incorporates

DSS considerations for the selection of

certain postkibraka candidates that are subjective in nature, but are still

able to provide data quickly,

based on reasons derived from

transparent data and help the selection process it

– quantitative data. In the field of

self- management . In addition, the system is also expected to have

human resources, for example, the selection process can be made

into a kind of ‘data bank’

structured source profiles , but when it comes to

human resources, especially prospective participants, the basis for

decisions

which will greatly assist the

final selection process ,

there is a

possibility that the

decision will be taken based on the

next.

by certain considerations, other than quantitative data.

1.2. Problem Formulation

One of the HR management processes.

Based on the

information

that

has the opportunity to be assisted by the SPK

, the selection data processing

is the selection process. Usually, the process

of Paskibraka participants can be formulated a

selection that has been standardized with

several problems:

both will consist of a series of procedures

1. What does the retrieval system look like?

where the prospective participants must go through a

decision on the selection of participants in

several layers of stages and meet certain

Paskibraka criteria

. At the end of the selection, the determinants

are running?

the decision to accept

eligible

national

who

to

2. How to optimize the process of

rejecting

prospective

participant

decision-making for selection

consideration of

the results of

the selection

of participants Paskibraka national level

quantitatively and qualitatively, and

the running order information

based

or

decide

the level

subjective. 103

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journal of Edik Informatics

produced fast, precise, and

capable of

quality?

decision

3. Whether the creation of a new system by adding

a decision

support system

can affect the Youth

Education Office and optimize the decision process so that the resulting decisions will be in a timely manner, in a fast and quality time. 3. The existence of a

Sports program in selecting participants

for the

Paskibraka Decision Support System application ?

For the national participant

selection level Paskibraka with the Visual Basic 6.0 programming language can improve 1.3. Limitation of Agency performance problems. To further direct this writing of Youth and Sports Education to the desired goals as in West Sumatra Province in particular has been described above, it is necessary to limit the decision-making process. the problem so as not to deviate from the original goal, which was in focus

where for

Paskibraka the

author level

prefers national participant

selection only and does not discuss school levels 1.5. Research Objectives The objectives of this study are as follows: 1. To assist other education offices . Youth 1.4. The West Sumatra hypothesis in the participant selection hypothesis as a temporary answer to this problem, namely: National Sports of Paskibraka Province by developing a system application 1. Allegedly decision making for participant selection and decision support. Paskibraka level

2. Analyze the old system, so that

the Department

of Youth

known weaknesses – weaknesses that

Education and Provincial Sports

exist in the system, especially

of West Sumatra is still done

in

terms

manually.

in

the

national selection

at

2. With the existence of a Decision Support System

(SPK)

for the

selection

of Paskibraka participants at the national level, the Youth

Education Office and the decision making of Paskibraka participants

national level which will be the basis for designing the new system. 3. Assisting the Department of Youth and Sports Education, West Sumatra Province

Sports, West Sumatra Province 104

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Edik Informatika Journal

to produce decisions

using the term

quality, fast and transparent Management Decision .

System. Decision Support System (DSS) is a system that is meant for

1.6. Methods In conducting this research, the method of

supporting

the

decision

-making

which is used in collecting

managerial data in semi-decision situations

are:

structured. decision support systems

1. Research Field (Field research)

is intended to be a tool for

research

that is

carried out

to

the decision makers to broaden

obtain primary data in the Office of

their capabilities, but not for

education

replace their assessment. The

Youth System

of

Sumatra Province

and West

Sports

,

with

observation and interview techniques. 2. Research

library

decisions

decisions

(Library

research)

aimed that

to

require

judgment or the decisions that simply can not be supported by

research obtained

that

do

to

the data

secondary,

through

literature

that

relates

to the theme of the thesis, to seek information, generate theories relating to

support

to

the case

discussion

fusion

algorithms. 2.2 Method of Analitycal Hierarchy Process (AHP) The steps taken in the AHP method are as follows:

a

1. Define the problem and determine the

complexes with each other.

the desired solution, then compile

3. Laboratory research Research

hierarchies

of the

problems

at

hand. Preparation of hierarchy is

performed

by

using hardware and software.

to

set

a

target

goal system

that is

overall on a limited level. THEORY BASIS 2.1 Basic Concepts of Decision Support Systems The concept of decision support systems was first introduced by Michael S. Scott in the early 1970s with 105

Figure 2.1. AHP Hierarchical Structure

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Journal of Informatics

2. Determining Priority Elements

get all priorities . Matters

a. The first step in determining the priority

elements of

comparison comparing pairs

is

made a

pair,

which

elements

are

appropriate

criteria

are

given.

which is done in this step are: a. Add up the values ​​from each column on the matrix. b. Divide

each

value

of the

column

with the total column concerned to obtain a normalized matrix.

b. The pairwise comparison matrix is ​​filled using the

number

c. Adding the values ​​of each

for the

row and dividing by the number

represents the relative importance of the

element to get the average value

of an element against the

average element .

other. Table 2.1. Comparison Scale

4. Measuring Consistency In making decisions, it is important in

pairs

to find out how good the consistency

is, because we don’t want

information

decisions based on consideration of the

interests of one

second element is just as important

a consistent

three

elements that one a little bit more

to do in this step is:

important daripad element

5

7

9

2,4,6,8

are

low.

a. Multiply each value of

Things in

the

other

first column by the relative priority of the

elements. One element is more important

first, the value in the second column

than the other elements

by the relative priority of the second element,

One element is clearly more absolute

and so on.

important than other elements

b. Add up each row.

One absolutely essential element

c. The result of the sum of the rows divided by

the other

elements by the element of relative priority is the

values ​​between the two

corresponding values .

adjacent considerations

d. Add the quotient above with the number of elements present, the result is called λ max. 5. Calculate the Consistency Index (CI), with

3. Synthesis Considerations

of the

formula:

CI = (λ max-n) / n

pairwise comparison is synthesized for 106

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Journal of Informatics

Where n = the number of elements

DISCUSSION

6. Calculate the Consistency Ratio (CR) with the formula:

3.1 System Analysis System analysis is the decomposition of a complete system into the

CR = CI / IR

section

where: CR = Consistency Ratio the

components

identify

with

and the

intent to

evaluate

CI = Consistency Index

shortcomings, problems and obstacles

IR = Random Consistency Index

that occurs and the expected needs

7. Checking Consistency of Hierarchy. If

so that it

can be

proposed for

improvement – the

value is more than 10%, then the

correction assessment or replacing it with a

data judgment system must be corrected. But

a new one.

if the consistency ratio (CI / CR) is less or equal to 0.1, then the calculation result

can be

declared

correct.

The steps that must be taken by the

Index Random Consistency (IR) list

to determine the participants who pass using the AHP method are:

Table 2.2. IR List

2.3

3.2 AHP Process Design

1. Calculating the Priority Criteria for the

Size of the

IR Value Matrix

1,2

0.00

Calculating the value of this priority is carried out

3

0.58

for all criteria that have been previously determined

4

0.90

.

5

1.12

6

1.24

7

1.32

Table 3.1. Comparison Matrix

Couples

Criteria

Selection of

Candidates

a.

a. Proficiency line-line (BB) b. Value of General Knowledge (PU)

Comparison of

BB

PU

BI

Seni

BB

1

2

2

3

PU

0.50

1

2

2

BI

0.50

0.50

1

2

Art

0.33

0.50

0.50

1

Total 2.33

4.00

5.50

8.00

Members are

taken 4 criteria

to be assessed, namely: Paskibraka Paired

Matrix In this study Making c. English (BI) d. Art Skills (Art) 107 Published by the Informatics Education Study Program STKIP PGRI West Sumatra ISSN: 2407-0491 E-ISSN: 2541-3716 Research in the Field of Computer Science and Informatics Education V2.i1 (102-112) Journal Edik Informatics b. Creating a Value Criteria Matrix This matrix is obtained

d. Consistency Ratio Calculation

with

this calculation is used to

use the formula:

ensure that consistency ratio (CR) ≤

New column row value = Column row value

0.1, if it turns out that the CR value is greater than the

old / the number of each old column is

0.1, then the comparison matrix is ​​based

it will get a new value for each

column,

subsequently

summed, to

the value of

each

line

priority

to

be fixed. Table 3.4. Ratio Calculation The consistency of

each criterion is obtained from the number of each-

Qty / row

Prio

Results

each column divided by the number of criteria

BB

1.67

0.41

2.08,

namely 4 criteria

PU

1.08

0.26

1.34

BI

0.76

0.19

0.95

Art

0.48

0.12

0.60

Table 3.2. Matrix Value Criteria BB

PU

BI

Art

Number of

Prio

BB

0.43

0.50

0.37

0.37

1.67

0.41

PU

0.21

0.25

0.36

0.25

1.07

0.26

BI

0.21

0.13

0.18

0.25

0.77

0.19

Known: Amount: 4.97

Art

0.14

0.13

0.09

0.12

0.48

0.12

n (number of criteria): 4

Total

4.97

λ max (sum / 4): 4.97 / 4 = 1.24 c. Creating a

Matrix for the

Addition of

Each Row Matrix

CI ((λ max-n) / n): (1.24-4) / 4 = -2.76 / 4 = 0.69

This is

made

with

CR (CI / IR (see table): -0.69 / 0.9 = -0.76

multiplies the previously obtained priority value by the comparison matrix

By the

initial pair.The

consistency of the calculation is biased

because

CR

0.1,

then

accepted ratio . Table 3.3. Matrix Number of Lines

BB

PU

BI

Art Number

2. Calculating

BB Sub-Criteria Priority

0.41 0.52 0.38 0.36 1.67

In calculating the

PU sub-criteria priority

0.20 0.26 0.38 0.24 1.08

using the ratio of values: good, sufficient and

BI

0.20 0.13 0.19 0.24 0.76

less and calculated for each

Art 0.14 0.13 0.09 0.12 0.48

criteria. Which is to calculate the sub-criteria

for the same steps as

1

criterion with the

steps for

calculating the priority of the criteria. 108

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3. Calculating Results

Table 3.7. Results

After the value of the criteria and sub-criteria value

Nis

BB

PU

Bi

Art

Total

calculated, it can be served matrix

001

0:42

0:27

0:19

0:12

1

as follows:

002

0:19

0:27

0:19

0:12

0.77

003

0:09

0:15

0:08

0:12

0:44

Table 3.5. Result Matrix

Values of 0.42 in column marching line

BB

PU

BI

Art

001 students obtained value for row-

12:41

0:26

0:19

0:12

march, that is, either with priority 1,

Good

Good

Good

Good

multiplied by priority drill

1

1

1

1

Quite

Enough

Enough

Enough

0.46

0.56

0.41

0.33 the

sum of each line.

Less Less

Less

Less

Less

This total value is used as the basis for

0.21

0.30

0.17

0.10

to rank each achievement.

Next, enter the value data of

0.42. The

total column is

obtained

from the

participants. The greater the value, the more likely the student is to pass

all the participants who will be counted.

selection to participate in Paskibraka level

Example:

national and will be assigned to the Center.

Table 3.6. Participants’ scores for BB

PU

BI

Seni

Where to send later are 1

001 Good

good

Good

Good

male with the highest score and

002 Fairly

good

Good

Good

girl with the highest score.

Nis

003 Less enough Good enough 3.3 Draft Application Visual Basic From the calculation of participant data, in

order to implement the program

to a total value of each participant

applications

will

be required

to use

as a

basis

for

which

has

a

designed tool

to help

it form

getting reports of students who will

computer, which to operate is

recommended as participants who pass the

computer require three components of

selection

supporters such as hardware, software, and /

or

recommendations

from

their

respective schools . Then the results are obtained as

brainware.

follows:

1. Main Menu Menu

principal

is

an

advance

(interface) is used as a form parent / main form. This main form will be

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ISSN: 2407-0491 E-ISSN: 2541-3716 Research in the Field of Computer Science and Informatics Education V2.i1 (102-112)

The Edik Informatics Journal is

always displayed when the program is run

. 3.1. Main Menu Form The main menu consists of

three parts

menus namely: 1. Data Input Menu

Figure 3.1. Participant Input Form

The data input menu consists of three sub menus, namely: a. Sub menu data input of potential participants Displays the data input form of potential participants where the data will be input and stored in the program database. b. Sub menu data input value of prospective participants

Figure 3.2. Participant Value Input Form 2. AHP Process Menu

Displays the value data input form

The AHP process menu consists of two sub-

candidate participants where the

menu value data is:

will be input and

a. The sub menu determines the priority

stored in

the program database. c.

Criteria assessment sub menu Displays

for

priority

criteria

Displays the assessment form where

looking for

data on the value of potential participants will be

used using the AHP process.

input and program.

stored in the database

of

forms-forms

b. The sub menu determines the sub-priority sub

– criteria. Displays the forms

to

find the sub-priority sub-criteria using the AHP process.

110

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Edik Informatics Journal of

Education and Sports, West Sumatra Province

Figure 3.3. Criteria Input Form

Figure 3.5. Report on Selection Results Conclusions and Suggestions 4.1 Conclusion Figure 3.4. Sub-Criteria Input Form 3. Report Menu

As a closing discussion in writing the final project, the author takes the

report menu consisting of three sub-menu

conclusions of the

report, namely:

giving suggestions to readers who

a. Sub menu data reports of prospective participants

use the application in selecting

conclusions.

Members

of the Paskibraka level of

conclusions and suggestions can be taken

at the National Education Service and

conclusions:

West Sumatra Province Sports

1. Data processing for the selection of

prospective new students Showing

Paskibraka.

at once

Displays the entire data report

b. Sub menu of decision reports for all

Paskibraka participants

reports on

decisions

at

the

national level

and decisions are taken manually

all candidate candidates for Paskibaraka,

only

the national level of Sumatra Province as

decision makers.

based on

consideration

2. Decisions to determine participants

c. Sub menu decision report participants who passed the selection Showing

By

not utilizing computer systems

West

111

report

Paskibraka

level

National

who

receives will determine the performance of the Office of decisions

of Education and Sports as the

participants who passed the selection in the Office

appointed as selectors for

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The Edik Informatika Journal has qualified

Paskibraka participants.

REFERENCES

.

Asri, Renita. 2003,

3. The method

used in the system

in the Business Technology Trend and

decision support is basically

industrial, in the UPI Scientific Magazine.

is a method that accumulates

YPTK Vol.4 No. 1, (March), Padang

decision

on

the basis of

compliance with

various

criteria

specified.

assessment is

made

quantitative

4. Support system

Kadarsah Suryadi M, Ali Ramdani, 2000, Supporting

Criteria System to facilitate calculations. Decision, PT Remaja Rosdakarya, Bandung. Turban, E., Aronson, Je, Liang, T., Sharda, R. decisions for 2007 : “Decission Support and selection of prospective participants Paskibraka level

Business Intelligence Systems ”. Eight

National

Edition. It

is

hoped that Upper Saddle River, New

will

support a higher quality,

transparent,

fast selection process

and

Jersey: Pearson Pentice Hall. Ibnu, the

availability of human resource databases for the Education and

Syamsi Office ,

SU,

1989,

Decision

Making, PT Bina Aksara, Jakarta, Kurniadi, Adi. 2003. “Programming Microsoft Visual Basic 6.0” Jakarta:

West Sumatra Province Sports.

Elexmedia

4.2 Advice

Komputindo

PT. Gramedia

Group

.

As for suggestions that can be bonded authors include: 1.

Decision Support Systems

Team

Research

and

Development

MADCOMS. 2003. Database Applications &

Required for application users to first understand the basics of

Crystal Report in Visual Basic 6.0. Yogyakarta: Andi Offset.

computer use. 2.

There is a replacement of the old system to the new system and it takes time

for

adjustments

to

implement changes that occur in the old system. The system change is carried out gradually. 3. This

application still has weaknesses, therefore it is recommended for

the

reader

to develop it,

in order to

be

well

out of

view or methods. 112

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