access activities in a computerized auction
conducted by
connecting through the Internet.
2. The use of electronic data storage
media that systematically 3.
Provide alternative information for selecting the contractors decision is in
accordance with the fast, as well as provide information and interaction on
auction at Dinas Cipta Karya.
2. MODEL ANALYSIS, DESIGN
AND IMPLEMENTATION
In the development process of decision support system for selecting the contractor
on the auction Dinas Cipta Karya using data analysis techniques with
methods of software development in a waterfall. For the
system data stream method use structure method that is using Data Flow Diagrams
DFD in depicting functional model and Entity Relationship Diagram ERD to
illustrate data model.
2.1
General Description of System
The identification of this system are as follows users Adminnistrator, Staff Admin,
Leadership, and Partners to log into the system, then the Administrator is available
on page five of them cultivate process master data, see information on auction data,
mengolaha standard assessment criteria, see the information list black, account. On
master data will be no partner data processing, user data, pre-qualification
criteria, criteria for post-, sub. On process of data there are four auction auction auction
process
that information,
ainwijiing information, prequalification information,
information on post-, and the Standard Assessment Calculation menu using AHP
Analytic Hierarchy Process, there are three such processes, the assessment criteria for
prequalification,
post-assessment and
assessment criteria post-subcriteria. On this page the admin staff there are five processes,
including information on master data, data processing
auction, participants
pre- qualification and post-assessment, info
blacklist, account, on valuation calculation method used by participants include MAUT
Multi Attribute Utility Theory. On this page there are five process management
information including a master list, the report data partners, project reports, auction
information, ainwijiing
information, prequalification
information, post-
information, auction
reports, reports
ainwijiing, pre-qualification
statements, reports pascakualiifikasi, pre-qualification
approval, post-approval
2.2 Analysis System
1. Calculation AHP
The calculation of the pre-qualification criteria
and assessment
standards pacakualifikasi
using AHP
Analytic Hierarchy Process, for example case below:
Problem of
selecting the
contractor conducted by the Office of Office of Cipta
Karya Cipta Karya get into trouble choosing one of three contractors that meets the
requirements. Public works has decided to create a hierarchy that can be seen figure 1
SIUJK
Pemenang Lelang
KPK BPP
SK APP
Kontraktor A Kontraktor B
Kontraktor C
Figure 1 Structure of AHP Hierarchy
Proof of Tax Payment CPP, Certificate of Skills SK, Contract Work Experience
KPK, Deed of Establishment and Changes APP, SIUJK
After preparation of the hierarchy is complete then the next step is to make
comparisons between the elements by taking into account the influence of elements on the
levels above comparison is done by a scale of 1 to 9. Can be seen in table 1
Table 1 Matrix comparison
Krit siujk
bpp app
sk kpk
siujk 1
2 3
1 1
bpp 0.5
1 2
2 3
app 0.33
0.5 1
1 1
sk 1
0.5 1
1 1
kpk 1
0.33 1
1 1
∑ 3.83
4.33 8
6 7
Values in Table 1 can be synthesized by adding up the numbers contained in each
column, after that the numbers in each cell divided by the number on the relevant
column. This process will produce a matrix that has been normal
Table 2 Matrix comparison level 2
Krit siujk
bpp app
sk kpk
∑ siujk
0.26 0.46
0.38 0.17
0.14 1.41
bpp 0.13
0.23 0.25
0.33 0.43
1.37 app
0.09 0.12
0.13 0.17
0.14 0.64
sk 0.26
0.12 0.13
0.17 0.14
0.81 kpk
0.26 0.08
0.13 0.17
0.14 0.77
TPV =
∑ row n
Table 3 TPV Value
Kriteria TPV
siujk
0.18
bpp
0.17
app
0.08
sk
0.10
kpk
0.10 The average value of each line indicates that
the level of importance factor for each criterion is: 18, 17, 8, 10, and 10.
After completion of level 2 matrix is filled and calculated the weight of its priorities,
the next step to make comparisons between the matrix element level 3 with respect to its
association with the level. This process has the same steps as the process described
previously. Consistency Calculation AHP
Tabel 4 Normalisasi Matrik
Krit siujk
bpp app
sk kpk
∑ siujk
0.18 0.34
0.24 0.10
0.10 0.96
bpp 0.09
0.17 0.16
0.20 0.29
0.91 app
0.06 0.09
0.08 0.10
0.10 0.42
sk 0.18
0.09 0.08
0.10 0.10
0.54 kpk
0.18 0.06
0.08 0.10
0.10 0.51
Further on the value of each vector multiplication result is divided by the value
of each cell in the priority vectors in order to obtain the results as follows:
5.37 5.43
5.39 5.31
5.43
10 .
10 .
08 .
17 .
0.18
52 .
54 .
42 .
91 .
96 .
λmaks value can be searched with the following calculation:
λmaks = n
n 3
2 1
=
5 37
. 5
43 .
5 39
. 5
31 .
5 43
. 5
=
5 93
. 26
= 5.33
Value of Consistency Index CI can be found by calculation as follows:
CI
=
1 n
n maks
=
1 5
5 33
. 5
=
0.08 Based on the Random Index RI for the
number of element 5 is 1:12 then the value of consistency ratio CI is :
CR
=
IR CI
=
12 .
1 08
.
=
0.07 A value of 0.07 states that the ratio of the
consistency of the results of comparative studies above have a constellation of 7.
This value causes the valuation is acceptable as it has been suggested by Saaty
2.
Calculation MAUT
Calculation of the total weight of the criteria to obtain a global priority globally is a
global priority with a combination of AHP and MAUT methods can be done by
following
these steps:
The first step determines an alternative to determine the value of Xij can be seen in
table 5
Table 5 Classification Rating
No Kriteria
Classification Rating Xij
1 siujk
a. Match 80
b. Not Suitable 2
bpp a. Match
80 b. Not Suitable
3 App
a. Match 80
b. Not Suitable 4
Sk a. Match
80 b. Not Suitable
5 kpk
a. Match 80
b. Not Suitable
The second step provides an alternative value is shown in table 5 with the weight of
the criteria shown in Table 3 by multiplying the value of each alternative and sum
weighting criteria and the process can be seen in table 6
Tabel 6 V value calculation
Kriteria Penilaian
Nilai Xij
Bobot wj
Jumlah siujk
Match 80
0.18
11.2 bpp
Not Suitable
0.17
app Match
80
0.08
11.2 sk
Match 80
0.10
11.2 kpk
Cocok 80
0.10
11.2 Vi =
∑ xij wij 67.2
Tabel 7 Calculation of Final Score
Krit siujk
bpp app
sk kpk
PG Ket
0.18 0.17
0.08 0.10
0.10 K A
80 80
80 80
67.2 TR
K B 80
80 80
80 67.2
TR K C
80 80
80 80
80 80.5
R
Keterangan : Krit = Criteria
K = Contraktor PG = Global Priority
TR = Not Recommended R = Recommended
2.3 DFDData Flow Diagram
administrator Kontraktor
Pimpinan panitia
Staff admin panitia 1.0
Login
3.0 Pengolahan Data Master
5.0 Lelang
pengguna
Kriteria pascakualifikasi
Kriteria prakualifikasi
Nilai prakualifikasi Nilai Pascakualifikasi
Join lelang prakualifkasi
Join lelang pascakualifikasi
Login admini
s trator
v al
id Login
Sta ff
Admin V alid
Login pimpin
an p anit
ia l elang
Data login Info id_pengguna, password invalid
Info id_pengguna, password invalid Data kriteria prakulifikasi
Info data kriteria prakualifikasi
Data kriteria pascakuailifikasi Info data kriteria
pascakualifikasi Rekanan
Data kriteria prakulifikasi Data bobot kriteria
prakualifikasi Data kriteria pascakuailifikasi
Data pengguna Data rekanan
Data biodata proyek Info kriteria prakulifikasi
Info kriteria pascakuailifikasi Info pengguna
Info rekanan Info biodata proyek
Info daftar hitam Info ainwijiing
Daftar hitam
Info dat
a rek anan
Data login Info user, password invalid
Data rekanan Info rekanan
Login staff admin valid Login peserta valid
Data Lelang proyek Data Join lelang prakualfikai
Data nilai kriteria prakualfikas Data Ainwijiing
Data join lelang pascakualifikasi Data nilai kriteria pascakualfikasi
Info lelang proyek Info join lelang prakualfikai
Info nilai kriteria prakualfikasi Info ainwijiing
Info Rekaanan Info nilai pascakuualifikasi
Info join lelang pascakualifikasi 6.0
Pengolahan Laporan
Data rekanan
Data joi
n le lang
prak ual
fik as
i
Info join lelang prakualifikasi
Info kriteria prakualifikasi
Info kriteria pascakualifikasi Info rekanan
Data nilai
lel ang
prak uali
fik as
i
Info nilai lelang prakualifikasi
Data nilai lelang prakualifikasi Info nilai lelang
pascakualifikasi Data join lelang
pascakualfikasi Info join lelang
pascakualifikasi
Data pen
gguna In
fo Login
Dat a lo
gin Info
id _
peng guna
, pas
s word
inv alid
In fo
da fta
r hi
ta m
Dat a jo
in l elang
prak uali
fik as
i Dat
a jo in l
elang pasc
a k
ual ifik
asi In
fo join
lel ang
prak ualif
ik a
s i
In fo
join lelan
g pa s
c ak
u alif
ik asi
2.0 Registrasi
penyedia jasa Data rekanan
Info rekanan
Ainwijiing Info
ainwijiing Data
ainwijiing
info Join lelang prakualfikai info nilai kriteria prakualfikasi
Info Ainwijiing Info nilai pascakuualifikasi
info join lelang pascakualifikasi Info rekanan
Data rekanan Info rekanan
Data pengguna yang dirubah Info pengguna yang dirubah
subkriteria pascakualifikasi
Data subkriteria Info Data subkriteria
Info nilai lelang prakualifikasi
D at
a n ilai
lela ng p
rak u
alifi k
asi
Lelang Proyek Data lelang
proyek Info daftar hitam
Info lelang proyek
Info join lelang prakualifikasi
Info join
lel ang
pas c
akualif ik
as i
Data join lelang prakualifikasi Data join lelang pascakualifikasi
Persetujuan Prakualifikasi Persetujuan Pascakualifikasi
Info join lelang prakualifikasi Info join lelang pascakualifikasi
Info Prakualifikasi Info Pascakualifikasi
Log in re
k an
an
Info lelang proyek Data login
Info rekanan
Inf o p
enggu na
Data Pengg
una
Info Rekanan Data Rekanan
In fo
Login
Data rekanan
Inf o pe
nggun a
Biodata Proyek
Dat a Pro
y ek
Info Proy
ek
Data Proyek Info Proyek
4.0 Penilaian AHP
Info nilai kriteria prakualifikasi Info nilai kriteria
pascakualifikasi Data nilai
kriteria pascakualifikasi
Data nil
ai s ubk
rite ria
pas c
a k
ua lifi
k asi
Inf o ni
lai s ubk
rit eria
pas c
akuali fik
as i
Dat a ni
lai k
rit eria
pra k
ua lifi
k asi
Data nilai kriteria prakualifikasi Data nilai kriteria pascakualifikasi
Info nilai kriteria prakualifikasi Info nilai kriteria pascakualifikasi
Data nilai subkriteria pascakualifikasi Info nilai subkriteria pascakualifikasi
Data login useronline
Info us
eronl ine
D ata
D aft
ar h
ita m
Figure 2 DFD Level 0
2.4
Menu Structure Design
MENU UTAMA DATA MASTER
DATA LELANG STANDAR NILAI
HOME LOGIN
Daftar Rekanan Pengguna
Kriteria Prakualifikasi Kriteria
PAscakualifikasi Subkriteria
Pascakualifikasi Info Ainwijiing
Info Lelang Proyek
Info Pascakualifkasi Info Prakualifiaksi
Penilaian Pascakualifiakasi
Penilaain Prakualifikasi
DAFTAR HITAM Logout
Ganti Password MY ACCOUNT
Figure 3 Menu Structure
2.5 Design Interface
Figure 4 Interface
2.6 Implementation
Implementation phase is done after doing the analysis stage of design in the system.
In the implementation process of making applications require identification of this
word is the author of hardware equipment hardware and software software in
completing this research.
1. Processor Dual Core 2.20GHZ 2. RAM 1 GB
3. VGA 256 MB 4.
Monitor 15 “with resolution 1024 x 768 Specification of software software used to
make the application identification of this word is:
1. Operating System Windows XP Profesional
2. MySQL as database
3. PhpMyadmin as interface 4.
Macromedia Dreamweaver 8 code dan design interface
5. Mozilla Firefox,Operah, Google Chrome for web browser
3. RESULTS
Results of identification of this research can be seen in the tables below:
1. Do you agree that the auction system is
built easily learned and used? A. Strongly Agree
D. Less Agree B. Agree
E. Disagree C. Simply Agree
No Keterangan
Responden 1
Strongly Agree 2
Agree 8
80 3
Simply Agree 2
20 4
Less Agree 5
Disagree
2. Do you agree this auction system can help you in the process of information
flow auction? A. Strongly Agree
D. Less Agree B. Agree
E. Disagree C. Simply Agree
No Keterangan
Responden 1
Strongly Agree 7
80 2
Agree 2
20 3
Simply Agree 1
10 4
Less Agree 5
Disagree
3. Do you agree to the auction conducted on a system built with computer?
A. Strongly Agree D. Less Agree
B. Agree E. Disagree
C. Simply Agree
No Keterangan
Responden 1
Strongly Agree 2
Agree 6
60 3
Simply Agree 4
40 4
Less Agree 5
Disagree
4. Do you agree the process of submission of tender documents on this system using
electronic media the Internet ? jaringan internet ?
A. Strongly Agree D. Less Agree
B. Agree E. Disagree
C. Simply Agree
No Keterangan
Responden 1
Strongly Agree 2
Agree
6 60
3 Simply Agree
4 40
4 Less Agree
5 Disagree
5. Do you agree that this system will be more easier for you in conducting the
auction? A. Strongly Agree
D. Less Agree B. Agree
E. Disagree C. Simply Agree
No Keterangan
Responden 1
Strongly Agree 2
Agree
6 60
3 Simply Agree
4 40
4 Less Agree
5 Disagree
6. Does your partner agree on a system pendaftaraan
process is
done electronically online?
A. Strongly Agree D. Less Agree
B. Agree E. Disagree
C. Simply Agree
No Keterangan
Responden 1
Sangat Seuju 2
Setuju
6 60
3 Cukup Setuju
4 40
4 Kurang Sertuju
5 Tidak Setuju
7. CONCLUSIONS AND
