Trijana, Karina Ayu (2020) Pengembangan Metode Pemilihan Proyek Pembangkit Tenaga Listrik Berbasis Hesitant Fuzzy Dengan Pertimbangan Benefits, Opportunities, Costs Dan Risks Untuk PT X. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PT X, sebuah perusahaan pembangkitan tenaga listrik di Indonesia, melakukan pengembangan usaha untuk menghadapi kompetisi. Meskipun begitu, PT X belum pernah mencapai target yang ditentukan selama beberapa tahun terakhir. Hal tersebut dikarenakan adanya masalah pada Manajemen Portfolio Proyek PT X, di mana metode pemilihan proyek PT X belum mempertimbangkan ketidakpastian atau ambiguitas informasi dan risiko proyek, serta pandangan seluruh manajemen perusahaan terkait pengembangan usaha PT X. Penelitian ini akan mengembangkan metode pemilihan proyek PT X dengan menggunakan MCDM (multi criteria decision making) dengan Konsep BOCR (benefit, opportunity, cost, risk) untuk dapat mengevaluasi kriteria yang perlu dipertimbangkan oleh perusahaan, terutama kriteria yang saling bertolak belakang seperti manfaat dengan biaya, serta peluang dengan risiko. Selain itu, hesitant fuzzy akan digunakan dikarenakan proyek memiliki banyak informasi yang tidak pasti dan ambigu, sehingga stakeholder mengalami kesulitan dalam menentukan nilai evaluasi dengan optimal. Dengan integrasi dari hal-hal tersebut, diidentifikasi bahwa Manfaat (33.127%) memiliki prioritas paling besar, disusul dengan Peluang (23.930%), Risiko (22.054%), dan Biaya (20.889%) dalam Pemilihan Proyek PT X. Didapatkan pula bahwa berdasarkan nilai negative additive-BOCR, Proyek C (0.039) memberikan hasil optimal, disusul dengan Proyek B (0.032), Proyek A (0.026), Proyek D (0.023), dan Proyek E (0.021).
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In order to improve a decision quality process of project evaluation at a company of PT X, this model is developed. The practices of Project Porto folio Management at the company have not taken yet the ambiguity nature’s project information and risk as well as its opinion judgment regarding the performance business development of the company. Consequently, it was found that the performance of the company over past few years before had not been able to achieve planned target due to incomplete decision factors of project selection regarding of company business development. Project selection process should take into account all its decisive factors in order to have a good decision and best solution, in doing so a qualitative and quantitative criterion as well ambiguity and risk information are important to consider in process decision making. This study aims to develop a project selection model based on MCDM (multi criteria decision making) and BOCR (benefit, opportunity, cost, risk). This model consists of development to conceptualize of evaluating criteria especially conflicting criteria such as benefit with cost and opportunity with risk. To do so, Hesitant Fuzzy concept is proposed to represent many uncertain or ambiguous information regarding projects, in order to facility the stakeholders and decision maker to determine an exact value for their evaluation, this research develop a new model that is an integration of MCDM, BOCR, and hesitant fuzzy. Based on implementation of model to project folio selection at the PT X, it is found that factors preferences are weighted for project selection subsequently Benefit (33.127%) which has the biggest priority, followed by Opportunity (23.930%), Risk (22.054%), and Cost (20.889%). Considering 5 alternative projects to be evaluation, projects selected based on implementation of model developed-negative additive-BOCR subsequently are Project C of 0.039 value as the best optional project for the company, followed by Project B (0.032), Project A (0.026), Project D (0.023), dan Project E (0.021).
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | BOCR, hesitant fuzzy, manajemen portfolio proyek, MCDM, pemilihan proyek, project selection, project portfolio management |
| Subjects: | T Technology > T Technology (General) > T56.8 Project Management |
| Divisions: | 61101-Magister Management Technology |
| Depositing User: | Karina Ayu Trijana |
| Date Deposited: | 04 Aug 2020 06:26 |
| Last Modified: | 21 May 2023 15:31 |
| URI: | http://repository.its.ac.id/id/eprint/76911 |
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