Analisa Harga Penawaran Kontraktor pada Tender dengan Pemodelan friedman, Ackoff and Sasieni dan Gates (Studi Kasus: Layanan Pengadaan Secara Elektronik (LPSE) Kota Batam)

Rosvita, Tresni Ayu (2019) Analisa Harga Penawaran Kontraktor pada Tender dengan Pemodelan friedman, Ackoff and Sasieni dan Gates (Studi Kasus: Layanan Pengadaan Secara Elektronik (LPSE) Kota Batam). Undergraduate thesis, Universitas Internasional Batam.

[img] Text
s-1411024-abstract-en.pdf

Download (147kB)
[img] Text
s-1411024-abstract-id.pdf

Download (359kB)
[img] Text
s-1411024-bibliography.pdf

Download (156kB)
[img] Text
s-1411024-chapter1.pdf

Download (731kB)
[img] Text
s-1411024-chapter2.pdf

Download (2MB)
[img] Text
s-1411024-chapter5.pdf

Download (338kB)
[img] Text
s-1411024-cover-id.pdf

Download (21kB)

Abstract

Dalam proses pelelangan, tahap penawaran sangat penting untuk itu butuhnya strategi penawaran yang berperan dalam membuat keputusan yang kompetitif, untuk mendapatkan sebuah proyek lebih tinggi dibandingkan dengan bidang lain. Data yang di pergunakan merupakan data yang telah terdaftar dan proyeknya telah dinyatakan telah selesai melakukan pelelangan yaitu dari tahun 2017 sampai 2018. Pelelangan ini memiliki begitu banyak perusahaan yang mengikuti pelelangan, maka dari itu penulis meminimalisir jumlah perusahaan yang diikut sertakan dalam penelitian ini yaitu sebanyak 3 perusahaan di masing masing proyek dengan ketentuan minimal harga penawaran perusahaan sebesar Rp. 300,000,000 dengan pendekatan statistik, yaitu Multi Distribution Discrete, Multi Distribution Normal dan Single Distribution Normal. Model strategi penawaran yang digunakan yaitu Friedman Method, Gates Method dan Ackoff & Sasieni Method. Model Friedman menghasilkan mark up optimum sebesar - 11% untuk multi discrete Distribution dengan expected profit sebesar -3,1687, 11 % untuk multi normal Distribution dengan expected profit 10,90, dan 11% untuk single normal Distribution dengan expected profit sebesar 10,99. Dengan menggunakan model Gates menghasilkan mark up optimum sebesar 11 % untuk multi discrete Distributiondengan expected profit 11,00. untuk multi normal Distribution -11% dengan expected profit -83,608 . dan 11 % untuk single normal Distribution dengan expected profit sebesar 3,128. Dengan menggunakan model Ackoff & Sasieni menghasilkan mark up optimum sebesar -11 % untuk multi discrete Distributiondengan expected profit -6,11, 11% untuk multi normal Distributiondengan expected profit 10,998 dan 11 % untuk single normal Distribution dengan expected profit 10,998. ********************************************************************** In the bidding process, the bidding stage is very important for that the supply strategy needs to play a role in making competitive decisions, to get a higher project than other fields. The data used is the data that has been registered and the project has been declared to have completed the auction, from 2017 to 2018. This auction has so many companies participating in the auction, therefore the authors minimize the number of companies included in this study, namely as many as 3 company in each project with a minimum provision of the company's bid price of Rp. 300,000,000 with a statistical approach, namely Multi Distribution Discrete, Multi Distribution Normal and Single Distribution Normal. The bidding strategy model used is Friedman Method, Gates Method and Ackoff & Sasieni Method. Friedman's model produces an optimum mark up of - 11% for multi discrete distributions with expected profit of -3.1687, 11% for multi-normal distributions with expected profit 10.90, and 11% for normal single distributions with expected profit of 10.99 . Using the Gates model produces an optimum mark up of 11% for multi discrete Distribution with expected profit 11.00. for multi normal Distribution -11% with expected profit -83,608. and 11% for normal singles. Distribution with expected profit of 3.128. Using the Ackoff & Sasieni model yielded an optimum mark-up of -11% for multi discrete Distribution with expected profit of -6.11, 11% for multi-normal Distribution with expected profit of 10.998 and 11% for singles normal Distribution with expected profit 10.998.

Item Type: Thesis (Undergraduate)
Additional Information: Similarity: 18
Uncontrolled Keywords: Bidding strategy, mark up, winning probability, expected profit
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
Divisions: School of Civil Engineering and Planning > Civil Engineering
SWORD Depositor: Admin Repository Universitas Internasional Batam
Depositing User: Admin Repository Universitas Internasional Batam
Date Deposited: 17 Oct 2019 07:22
Last Modified: 17 Oct 2019 07:23
URI: http://repository.uib.ac.id/id/eprint/1527

Actions (login required)

View Item View Item