Penentuan Prioritas Proyek Unggulan Guna Mengoptimalkan Profit dengan Metode AHP-TOPSIS dan AHP-Weighted Goal Programming

Erianti, Wulandari Widya Triana (2024) Penentuan Prioritas Proyek Unggulan Guna Mengoptimalkan Profit dengan Metode AHP-TOPSIS dan AHP-Weighted Goal Programming. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Seiring dengan pertumbuhan bisnis yang terus berkembang, perusahaan harus menghadapi tekanan yang semakin meningkat untuk meningkatkan kinerja mereka. Salah satu strategi yang umum digunakan adalah mengoptimalkan profit untuk tetap bersaing dalam pasar bisnis yang kompetitif. Optimasi profit melibatkan identifikasi kombinasi variabel yang dapat menghasilkan profit maksimal dengan mempertimbangkan keterbatasan yang ada. Penurunan profit terjadi pada salah satu perusahaan yang merupakan salah satu anak perusahaan Badan Usaha Milik Negara (BUMN) yang bergerak di bidang industri pracetak produk beton. Profit perusahaan pada tahun 2023 turun sebanyak 66,9% dibandingkan tahun sebelumnya. Masalah penurunan profit juga terjadi di unit Perusahaan yang berada di Jawa Timur. Unit yang merupakan cost center dan profit center ini gagal mencapai target profit dari kuartal I sampai kuartal II, menyebabkan financial distress pada kuartal III dan IV tahun 2023. Penelitian ini mengoptimalkan profit perusahaan dengan menentukan prioritas proyek unggulan agar perusahaan dapat memprioritaskan proyek pilihan di masa mendatang menggunakan metode AHP-TOPSIS dan AHP-Weighted Goal Programming. Metode AHP-TOPSIS dapat menginterpretasikan pemilihan keputusan dari berbagai alternatif model secara feasible dan efektif, sehingga penelitian ini menggunakan metode AHP-TOPSIS untuk membobotkan dan menyusun prioritas proyek unggulan. Optimasi beberapa tujuan juga dilakukan dengan memperhatikan batasan yang ada menggunakan metode Weighted Goal Programming. Metode AHP-Weighted Goal Programming dapat saling menutupi kekurangan, sehingga metode tersebut direkomendasikan dalam menyelesaikan optimasi. Hasil prioritas proyek yang didapatkan dari penelitian ini berdasarkan AHP-TOPSIS adalah proyek B (biaya tinggi, profit tinggi), proyek C (biaya tinggi, profit tinggi), proyek C (biaya rendah, profit tinggi), proyek A (biaya rendah, profit tinggi), proyek A (biaya rendah, profit rendah), dan proyek A (biaya tinggi, profit rendah). Hasil AHP-Weighted Goal Programming untuk optimasi didapatkan pemilihan proyek yang optimal yaitu 3 proyek B (biaya tinggi, profit tinggi), 2 proyek C (biaya tinggi, profit tinggi), 2 proyek C (biaya rendah, profit tinggi), dan 3 proyek A (biaya rendah, profit tinggi). Sehingga hasil penelitian ini yaitu keputusan prioritas proyek unggulan yang optimal berdasarkan AHP-TOPSIS dan AHP-Weighted Goal Programming adalah 3 Proyek B, 4 Proyek C, dan 3 Proyek A yang dapat meningkatkan profit sebesar 81% dari tahun 2023.
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As business growth continues to expand, companies must face increasing pressure to improve their performance. One commonly used strategy is to optimize profits to stay competitive in a competitive business market. Profit optimization involves identifying a combination of variables that can generate maximum profit considering the existing limitations. A decline in profit occurred in a company that is a subsidiary of a State-Owned Enterprise (SOE) engaged in the precast concrete products industry. The company's profit in 2023 decreased by 66.9% compared to the previous year. The problem of declining profits also occurred in the company's unit in East Java. This unit, which is both a cost center and a profit center, failed to achieve the profit target from the first quarter to the second quarter, causing financial distress in the third and fourth quarters of 2023. This research optimizes the company's profit by determining the priority of superior projects so that the company can prioritize selected projects in the future using the AHP-TOPSIS and AHP-Weighted Goal Programming methods. The AHP-TOPSIS method can interpret the selection of decisions from various alternative models in a feasible and effective manner, so this research uses the AHP�TOPSIS method to weight and prioritize superior projects. Optimization of several objectives is also carried out by taking into account the existing constraints using the Weighted Goal Programming method. The AHP-Weighted Goal Programming method can cover each other's shortcomings, so the method is recommended in completing optimization. The project priority results obtained from this research based on AHP-TOPSIS are project B (high cost, high profit), project C (high cost, high profit), project C (low cost, high profit), project A (low cost, high profit). high), project A (low cost, low profit), and project A (high cost, low profit). The results of AHP-Weighted Goal Programming for optimization showed optimal project selection, is 3 projects B (high costs, high profits), 2 projects C (high costs, high profits), 2 projects C (low costs, high profits), and 3 projects A (low costs, high profits). So, the results of this research are that the optimal priority decisions for superior projects based on AHP-TOPSIS and AHP�Weighted Goal Programming are 3 Projects B, 4 Projects C, and 3 Projects A which can increase profits by 81% from 2023.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	AHP, Optimize, Profit, TOPSIS, Weighted Goal Programming, AHP, Optimasi, Profit, TOPSIS, Weighted Goal Programming
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD30.23 Decision making. Business requirements analysis. Q Science > QA Mathematics > QA141 Numeracy--Problems, exercises, etc. Q Science > QA Mathematics > QA184 Algebra, Linear Q Science > QA Mathematics > QA401 Mathematical models.
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Actuaria > 94203-(S1) Undergraduate Thesis
Depositing User:	Wulandari Widya Triana Erianti
Date Deposited:	31 Jul 2024 12:53
Last Modified:	24 Sep 2024 06:06
URI:	http://repository.its.ac.id/id/eprint/109442

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