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      •   UMY Repository
      • 03. DISSERTATIONS AND THESIS
      • Students
      • Undergraduate Thesis
      • Faculty of Engineering
      • Department of Civil Engineering
      • View Item
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      MODEL STRATEGI HARGA PENAWARAN UNTUK PROYEK KONSTRUKSI DI INDONESIA Studi Kasus : Layanan Pengadaan Secara Elektronik (LPSE), Kota Belitung

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      HALAMAN JUDUL (290.8Kb)
      HALAMAN PENGESAHAN (71.11Kb)
      ABSTRACT (88.26Kb)
      BAB I (102.4Kb)
      BAB II (257.1Kb)
      BAB III (518.1Kb)
      BAB IV (111.3Kb)
      BAB V (675.4Kb)
      BAB VI (89.45Kb)
      DAFTAR PUSTAKA (82.72Kb)
      NASKAH PUBLIKASI (722.7Kb)
      Date
      2016-04-10
      Author
      HARYUSAPUTRI, OLGANIZA
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      Abstract
      In the construction industries, tendering process is one of activities that must be done by contractor to get new project. Development of construction project is becoming more and more; therefore, contractors are making a hard effort to get tender. This process is very important for contractor, because survive of contractor is depend on successful or failure of this process. Determination of tender bid price is determined by variety of considerations and sometimes just based on business sense. This is a crucial one to get big or small profit that still obtained contractor and the percentage of winning projects. The aim of this research is to calculate the value of mark-up using offering strategy approach and to determine which one is the best offer strategy to win a tender by the optimum mark-up value and the optimum profits. This research used data in the form of auctions data that has been completed since 2012-2015 in LPSE, Belitung using statistic approach namely discrete multi distribution, normal multi distribution, and single normal distribution. The model of offering strategy that used is Friedman Methods, Gates Methods, and Ackoff & Sasieni Methods. The Friedman Methods can generates the optimum mark-up of-10% for discrete multi-distribution with expected profit of -0,4167, 0% for multi-normal distribution with expected profit of 0,0000 and 18% for single normal distribution with expected profit -0,0159. The gates Methods can produce the optimum mark up of 20% for discrete multi distribution with expected profit of 20,0000, 18% for multi-normal distribution with expected profit 16,3531 and 18% for single normal distribution with expected profit 14,2380. While the Ackoff & Sasieni Methods can generates the optimum mark-up of 8% for discrete multi distribution with expected profit 8,0000, -4% for multi and single normal distribution with expected profit for -3,9992.
      URI
      http://repository.umy.ac.id/handle/123456789/7233
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      • Department of Civil Engineering

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