Analisa Perbandingan  Metode Topsis, Saw Dan Wp Melalui Uji Sensitifitas Untuk Menentukan Pemilihan Supplier

Yusnaeni, Wina; Ningsih, Rahayu

doi:10.31294/ji.v6i1.4399

Cited by 9 publications

(9 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Changes in the point of each criterion are made by increasing or decreasing the point and then assessing the change in the preference value ranking based on the point change results. Yusnaeni & Ningsih [15] explains how to perform a sensitivity test, which includes first determining all attribute points, then increasing points on one attribute while the others remain, then continuing the calculation using the SAW and TOPSIS method procedures, and finally calculating the percentage of total changes in the first alternative value when the points are replaced with the original points. Sudipa & Puspitayani [13] explains how to perform a sensitivity test, which includes first determining all attribute points, then increasing points on one attribute while the others remain, then continuing the calculation using the SAW and TOPSIS method procedures, and finally calculating the percentage of total changes in the first alternative value when the points are replaced with the original points.…”

Section: Sensitivity Testmentioning

confidence: 99%

Decision-Making System for KIP IAIN Bukittinggi Scholarship Recipients Using the SAW and TOPSIS Methods

Wizsa

Yuspita

Rahayu

2022

Knowbase : International Journal of Knowledge in Database

View full text Add to dashboard Cite

<p class="Abstract">The KIP scholarship is one of the scholarships available at IAIN Bukittinggi, and prospective recipients will be chosen based on the number of quotas available. Thus far, the selection process has been carried out by calculating the total value based on the sum of the percentages of each criterion arranged according to the level of importance. The procedure does not include a decision-making system for determining whether or not to accept the KIP scholarship. As a result, a decision support system is required to quickly and accurately determine which students are eligible for scholarships. In this research, the decision-making system compares the SAW and TOPSIS methods, with the latter using normalized weights in calculating the preference value as a determining value for alternative scholarship recipients to be selected. The SAW method was found to be more sensitive than the TOPSIS method in the data for the KIP scholarship 2020 recipients at IAIN Bukittinggi, with a sensitivity value of 96.87 compared to 81.96 for the TOPSIS method. Based on these findings, the SAW method can be recommended as a decision return system for KIP scholarship recipients to study at IAIN Bukittinggi the following year.</p>

show abstract

Section: Sensitivity Testmentioning

confidence: 99%

Decision-Making System for KIP IAIN Bukittinggi Scholarship Recipients Using the SAW and TOPSIS Methods

Wizsa

Yuspita

Rahayu

2022

Knowbase : International Journal of Knowledge in Database

View full text Add to dashboard Cite

show abstract

“…The TOPSIS method is also widely used because the method is simple, easy 2 to understand, computationally efficient and has the ability to measure the performance of decision alternatives in a simple mathematical form (Nuris, 2017). The Topsis method is widely used for some research that requires which solution is the best of several options such as robusta coffee bean selection decision support system that is worth export quality (Borman et al, 2020), employee recruitment decision making (et al, 2020), bonsai plant selection (Vista et al, 2020), best supplier (Yusnaeni & Ningsih, 2019)and many other researchers that can be used with Topsis method.…”

Section: Literature Reviewmentioning

confidence: 99%

TOPSIS Method Application in Choosing The Most-Sale POS Cashier Machine Stuffs and Tools in PT. Mahadana Wikasita

Handayani

Normah

Wironoto

2021

SinkrOn

View full text Add to dashboard Cite

PT. Mahadana Wikasita is a company engaged in the sale of machine goods and pos cashier tools. In order to face business competition there are some problems that often arise regarding the sale of goods. PT. Mahadana Wikasita is lacking in monitoring the goods sold, what items consumers need and the storage of data is less effective, so the company can not determine exactly which goods to buy. Therefore, a decision support system is needed that can help solve this problem. In this research, the decision support system used is by Techinique for Order Reference by Similarity to Ideal Solution (TOPSIS) which consists of seven stages using several criteria such as price, type, quality and customer interest. In the test results calculated using the Method For Order Preference bySimiliarity to Ideal Solution (TOPSIS) it can be concluded that the highest value is kios Pakmo mobile cashier application package with a value of 0.920, can be interpreted as the best selling item for one year.

show abstract

“…Matriks solusi ideal diperoleh dari normalisasi terbobot dan atribut kriteria yaitu cost atau benefit. Solusi ideal terdapat dua yaitu solusi ideal positif dimana nilai maksimal dari normalisasi terbobot pada atribut benefit dan nilai minimal dari atribut cost [15]. Sedangkan solusi ideal negatif adalah kebalikannya.…”

Section: Perhitungan Alternatif Dengan Metode Topsisunclassified

Selection of Fish Raw Material Suppliers by Integrating ANP and Topsis Methods in CV. Riki Utama Mandiri

Sakti¹,

Sulistiyowati

2021

PELS

View full text Add to dashboard Cite

CV. Riki Utama Mandiri is a company in distributing an economic fish frozen product. This company distributed any kind of retail and wholesaler, both domestic and export. They distributing many frozen fish products variant such as Patin Fillet and Shark Fin. The all raw materials of those frozen seafood was obtained by three different suppliers. The common problems found in CV. Riki Utama Mandiri mostly about raw patin fish supplier which often committed delivery delays. The purpose of this research is to fixing the supply chain management in deciding the more accurate selections of raw materials supplier. To overcome the common problems that happen. Analytical network process (ANP) will simplify the criteria weight values and sub criteria of each supplier. Meanwhile, technique for others reference by similarity to ideal solution (TOPSIS) method is used for giving a rank order of the alternative supplier. This research is expected for being a consideration for the company in obtaining a good and more effective kind of raw supplier. We also expecting the company for tighten supplier selection more effective way so that it can fullfilled the existing standard. Also to overcome the common problems such as delivery delays, competing raw materials with uncertain quality, and difficulty in sort out the raw materials due to size issues.

show abstract

Analisa Perbandingan Metode Topsis, Saw Dan Wp Melalui Uji Sensitifitas Untuk Menentukan Pemilihan Supplier

Cited by 9 publications

References 2 publications

Decision-Making System for KIP IAIN Bukittinggi Scholarship Recipients Using the SAW and TOPSIS Methods

Decision-Making System for KIP IAIN Bukittinggi Scholarship Recipients Using the SAW and TOPSIS Methods

TOPSIS Method Application in Choosing The Most-Sale POS Cashier Machine Stuffs and Tools in PT. Mahadana Wikasita

Selection of Fish Raw Material Suppliers by Integrating ANP and Topsis Methods in CV. Riki Utama Mandiri

Contact Info

Product

Resources

About