CONTRACTOR SELECTION DECISION SUPPORT SYSTEM PROJECT ON AUCTION DINAS CIPTA KARYA KABUPATEN INDRAMAYU USING METHOD AHP (Analytic Hierarchy Process)

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CONTRACTOR SELECTION DECISION SUPPORT SYSTEM PROJECT

ON AUCTION DINAS CIPTA KARYA KABUPATEN INDRAMAYU

USING METHOD AHP (Analytic Hierarchy Process)

Giana

Department of Informatics, Faculty of Engineering and Computer Science University Computer Indonesia

Jl. Dipati Ukur No. 112-116 Bandung E-mail : giana.gie@gmail.com

ABSTRACT

Dinas Cipta Karya in local government areas of Indramayu district has the authority to perform duties under Regulation (Perda) No. 1 of 2001 and the Regional Regulation No. 7 of 2001. One of the tasks undertaken Dinas Cipta Karya is building the infrastructure and public facilities and infrastructure of governance in local government areas of Indramayu district. Contractor selection process conducted DGCK Office takes a long time. Besides presenting information on the procurement of goods / services are still done conventionally, so that the missing information about the procurement of goods and services led to the participation of the contractors (participants partners) in the auction held by the Office of public works has become less and less proportionally, so it is necessary a decision support system.

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 DFD (Data Flow Diagram) in depicting functional model and ERD (Entity Relationship Diagram) to depict the standard data.Untuk model assessment criteria using AHP (Analytic Hierarchy Process) and MAUT (Multi Attribute Utility Theory) with pre-qualification and past- qualification.

The results of this study inform the auction data, data ainwijiing, and bidders who pass the prequalification stage and post-stage. The test system consists of alpha testing where this test using black box testing method that focuses on functional requirements and software beta test is test of field by giving questionnaires to the users in the Technical Section of Survey and Planning Office Building Notices of Work with a question referring to the final destination. After alpha and beta testing, can be deduced that the functionality of the system is to produce the output as expected and the user can use it with ease.

Keywords: Contractors, Auctions, Decision Support Systems, DFD, ERD, waterfall method, AHP, MAUT.

1. INTRODUCTION

Identify the problem of how to build and implement the Decision Support System for Selection of Contractor for the Project on Auction Dinas Cipta Karya Kabupaten Indramayu

Purpose and Objectives

The purpose of this research is to Build Decision Support System for Selection of

Contractor for the Project on Auction Dinas Cipta Karya Kabupaten Indramayu. The purpose of this study include :

1. Analyze, design, implement and test the contractor selection decision support system at the Department of public works has Indramayu district, which features a rapid assessment of contractors and accurately by using the method of AHP and MAUT, and

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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 contractor's 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 APP SK

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

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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 . 0 10 . 0 08 . 0 17 . 0 0.18 52 . 0 54 . 0 42 . 0 91 . 0 96 . 0

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

=

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 0 2 bpp a. Match 80 b. Not Suitable 0 3 App a. Match 80

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b. Not Suitable 0 4 Sk a. Match 80 b. Not Suitable 0 5 kpk a. Match 80 b. Not Suitable 0

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 0.17 0 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 0 67.2 TR K B 80 80 80 80 0 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 DFD(Data 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 L og in a d m in is tr ato r v a lid L og in S ta ff A d m in V a lid L og in p im p in a n p a n itia le la n g 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 In fo d a ta re k an a n 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 D a ta j oin le la n g pra k ua lf ik a

si Info join lelang prakualifikasi Info kriteria

prakualifikasi Info kriteria pascakualifikasi

Info rekanan D a ta n ila i le la n g pra k ua lifi k as i

Info nilai lelang prakualifikasi

Data nilai lelang prakualifikasi Info nilai lelang pascakualifikasi Data join lelang pascakualfikasi Info join lelang pascakualifikasi D a ta p e ng g un a In fo L og in D a ta l og in In fo id _ pe n gg u n a, p as s w ord i nv a lid In fo d a ft ar h it am D a ta jo in l e la n g p ra ku a lifik a si D a ta jo in l e la n g p a sc ak u ali fik as i In fo jo in le la n g p ra ku a lifi ka s i In fo j oin le la n g p a s ca ku a lifi ka si 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 a ta n ila i le la n g p ra k ua lifi k as i Lelang Proyek Data lelang proyek

Info daftar hitam Info lelang proyek

Info join lelang prakualifikasi

In fo jo in l e la n g p a sc a ku a lifik a si

Data join lelang prakualifikasi Data join lelang pascakualifikasi Persetujuan Prakualifikasi Persetujuan Pascakualifikasi Info join lelang prakualifikasi Info join lelang pascakualifikasi Info Prakualifikasi Info Pascakualifikasi L o g in r e ka na n

Info lelang proyek Data login Info rekanan In fo p en g gu n a D ata P en g g un a Info Rekanan Data Rekanan In fo L o g in Data rekanan In fo p en g gu n a Biodata Proyek D ata P ro ye k In fo P ro ye k Data Proyek Info Proyek 4.0 Penilaian AHP

Info nilai kriteria prakualifikasi Info nilai kriteria pascakualifikasiData nilai kriteria

pascakualifikasi D a ta n ila i su b krit eria p as ca k ua lifi k as i In fo n ila i s u bk rite ria p a sc ak u ali fik as i D a ta n ila i k rit eria pr ak ua li fik as i

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 In fo u s e ron li ne D a ta D a ft 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

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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 0 0 2 Agree 8 80 3 Simply Agree 2 20 4 Less Agree 0 0 5 Disagree 0 0

2. Do you agree this auction system can help you in the process of information flow auction?

3. Do you agree to the auction conducted on a system built with computer?

4. Do you agree the process of submission of tender documents on this system using electronic media (the Internet) ?

( jaringan internet ) ?

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 0 0 2 Agree 6 60 3 Simply Agree 4 40

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4 Less Agree 0 0

5 Disagree 0 0

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 0 0 2 Setuju 6 60 3 Cukup Setuju 4 40 4 Kurang Sertuju 0 0 5 Tidak Setuju 0 0

7. CONCLUSIONS AND

SUGGESTIONS

7.1 Conclusion

Based on the results of discussions during the research, it can be concluded that have been analyzed, designed, implemented and tested against the contractor selection decision support system project on auction Dinas Cipta Karya kabupaten Indramayu, including:

1. Contractor selection decision support system on the auction Dinas Cipta Karya kabupaten Indramayu contractor to perform the assessment process quickly and accurately by using the method of AHP and MAUT.

2. Contractor selection decision support system on the auction Dinas Cipta Karya kabupaten Indramayu has been computerized and can be accessed through the Internet network.

3. The use of storage media auction data requirements on the contractor selection decision support system on the auction Dinas Cipta Karya kabupaten Indramayu can be done electronically and systematically.

4. Contractor selection decision support system on the auction Dinas Cipta Karya kabupaten Indramayu to provide alternative information on contractor selection decisions quickly and accurately, and can provide information and interaction on auction on Dinas Cipta Karya kabupaten Indramayu

7.2 Suggestions

Based on the above conclusions, the suggestions are expected to be a decision support system development contractor selection at auction Dinas Cipta Karya Kabupaten Indaramayu

1. Adding data security facilities, such as Public Key Infrastructure registration facility (KPI).

2. Adding a news update function work 3. Add a client software for contractors. 4. Integrating employment data that will

be auctioned with other agencies in the District Indramayu.

8. REFERENCES

1. Abdul, Kadir. (1998),Konsep dan

tuntunan praktis Basis data, Andi,

Yogyakarta.

2. Jogianto HM., MBA., Akt., Ph.D., (2005), Analisisdan Desain Sistem

Informasi, Andi, Yogyakarta.

3. Kusrini,M.Kom,(2007), Konsep dan Aplikasi Sistem Pendukung Keoutusan, Andi, Yogyakarta.

4. Prasetyo, Didik, Dwi. (2003),

Administrasi Database Server

MySQL, Elex Media Komputindo,

Jakarta.

5. Teguh Wahyono, (2004), Sistem

Informasi: Konsep Dasar, Analisis Desain dan Implementasi, Graha

Ilmu, Yogyakarta.

6. www.ebisnis.wordpress.com/materi

/e-procurement/,Electronic

Procurement ( Jum’at 25