Usulan Pemilihan Supplier Bahan Baku Dengan Penggabungan Metode TOPSIS Dan AHP (Studi Kasus Pada Perusahaan Kayu CV. 88 Samarinda)

Utomo, Dutho Suh (2005) Usulan Pemilihan Supplier Bahan Baku Dengan Penggabungan Metode TOPSIS Dan AHP (Studi Kasus Pada Perusahaan Kayu CV. 88 Samarinda). Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

Pemilihan supplier perlu dilakukan untuk mendapatkan supplier yang benar-benar mampu memenuhi kebutuhan perusahaan secara konsisten. Proses pemilihan supplier dilakukan melalui evaluasi dan perbandingan terhadap supplier dengan menggunakan ukuran dan kriteria yang sesuai. Metode TOPSIS merupakan metode pengambilan keputusan multikriteria yang menentukan solusi berdasarkan jarak terdekat dari titik ideal positif dan jarak terjauh dari titik ideal negatif. Namun, metode TOPSIS memiliki kelemahan, yaitu memerlukan bobot awal dalam proses pengolahan data. Oleh karena itu, diperlukan penggabungan dengan metode Multi-Criteria Decision Making (MCDM) lainnya untuk menentukan bobot awal, yaitu Analytical Hierarchy Process (AHP). Kombinasi metode AHP dan TOPSIS diterapkan pada studi kasus CV. 88, yang merupakan perusahaan yang bergerak dalam produksi kayu. Berdasarkan hasil perhitungan menggunakan AHP, diperoleh bahwa kriteria kualitas memiliki bobot sebesar 0,295. Nilai tersebut merupakan bobot tertinggi dibandingkan dengan kriteria lainnya. Hal ini menunjukkan bahwa pihak perusahaan (CV. 88) memandang kualitas sebagai kriteria utama dalam pemilihan supplier. Sementara itu, berdasarkan hasil perhitungan menggunakan TOPSIS, Supplier 4 merupakan supplier dengan nilai terbaik untuk dipilih. Hasil penelitian ini dapat menjadi bahan pertimbangan bagi perusahaan dalam proses pemilihan supplier.
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Supplier selection is necessary to identify suppliers that are capable of consistently fulfilling the company's requirements. The supplier selection process is conducted by evaluating and comparing suppliers using appropriate measures and criteria. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision-making method that determines a solution based on the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution. However, TOPSIS has a limitation in that it requires initial weights for further data processing. Therefore, it needs to be combined with another Multi-Criteria Decision Making (MCDM) method, namely the Analytical Hierarchy Process (AHP), to determine the initial weights. The combination of AHP and TOPSIS is applied to a case study at CV. 88, a company engaged in wood production. Based on the AHP calculation, the quality criterion obtained a weight of 0.295, which was the highest weight among all criteria. This indicates that the company (CV. 88) considers quality to be the most important criterion in supplier selection. Meanwhile, based on the TOPSIS calculation, Supplier 4 was identified as the supplier with the highest preference value and therefore the selected supplier. These results can provide useful input for the company in its supplier selection process.

Item Type:	Thesis (Masters)
Additional Information:	RTI 658.72 Uto u
Uncontrolled Keywords:	Supplier, Multi-Criteria Decision Making (MCDM), Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	magang .
Date Deposited:	28 Sep 2026 01:47
Last Modified:	28 Sep 2026 01:47
URI:	http://repository.its.ac.id/id/eprint/144922

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