The Comparison of Vikor and Maut Methods in the Selection of Used Cars

Rahmadani, Nurul; Risnawati, Risnawati

doi:10.34288/jri.v3i2.193

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The data generated by the system will then be compared with the decision result data issued by the Social Service of Samarinda City which is then calculated for the suitability and discrepancy of the data between the WASPAS and VIKOR methods. One method will be considered as the appropriate method in determining the recipient of the BPNT program if it has a higher accuracy test value than the other methods [15], [16].…”

Section: Accuracy Testmentioning

confidence: 99%

Comparison of WASPAS and VIKOR methods to determine non-cash food assistance recipients

Ramadiani,

Luthfi Fahrozi,

Labib Jundillah

et al. 2024

IJ-AI

View full text Add to dashboard Cite

Non-cash food assistance or bantuan pangan non-tunai (BPNT) is a government program of the Republic of Indonesia by distributes food assistance in non-cash to beneficiary families. The process of distributing BPNT still needs to be done with the data and criteria set, because the existing BPNT distribution is considered not right on target. We need a method that can help provide an objective decision. One method that can be used in making decisions is the weighted aggregated sum product assessment (WASPAS) and Vlsekriterijumsko Koompromisno Rangiranje (VIKOR) methods. The results of the calculations from the two methods will then be chosen which is the best, by conducting sensitivity tests and accuracy tests. This study uses 100 sample data and 16 criteria. The sensitivity test results are 9.780678997% for the WASPAS method and -0.0759182% for the VIKOR method, while the results of the accuracy test show that both methods have the same level of accuracy, which is 80%. Based on the comparison of the sensitivity test and accuracy test of the two methods, the WASPAS method is considered more accurate in determining the recipients of the BPNT program because the WASPAS method has a higher sensitivity test value than the VIKOR method.

show abstract

Section: Accuracy Testmentioning

confidence: 99%

Comparison of WASPAS and VIKOR methods to determine non-cash food assistance recipients

Ramadiani,

Luthfi Fahrozi,

Labib Jundillah

et al. 2024

IJ-AI

View full text Add to dashboard Cite

show abstract

“…The MAUT method is a quantitative method that is used as a basis for decision-making through systematic procedures that identify and analyze several variables [2]. The MAUT method can help convert some interests into numerical values on a scale of zero to one, to get definite results, so that they can assist decision makers in making a final decision [3].…”

Section: Introductionmentioning

confidence: 99%

Method of Maut in Determining the Rank of Children and Healthy Elderly at Petatal Puskesmas

Hanum,

Siddik,

Maulana

2023

JURTEKSI

View full text Add to dashboard Cite

The current development of information technology has had an impact on all fields, including the health sector. Many activities that were previously carried out conventionally or manually can now be carried out with the help of technology. Computers that were previously only used to process data now provide many services, applications, and programs that can help facilitate human activities. One of them is the Multi-Attribute Utility Theory (MAUT) method, which is a support system method that has been widely used to provide accurate and efficient results. This study aims to build a decision support system for choosing healthy toddlers and elderly at the Petatal Health Center, Talawi District, Asahan Regency. So far, the process of selecting healthy toddlers and elderly is done conventionally, without the help of applications or computer programs. So the time needed is longer and the results are also less objective. The calculation process uses the MAUT method with an alternative of 13 toddlers and 15 elderly. The criteria used are body weight, nutritional status, potassium content, protein content, and carbohydrate content. Assessment weight 1-5. The results are 3 Toddlers with the highest total score Laila (17) Putri Sundar (14.25) and Tiara with a score of 12.25. The three people with the highest scores for healthy elderly are Rini Dewi with a score of 17, Joni with a score of 14.25, and Bejo Asmo with a value of 12.25. Keywords: decision support system; MAUT; multi atribute utility theory; SPK Abstrak: Perkembangan Teknologi informasi saat ini telah berdampak pada semua bidang, termasuk bidang kesehatan. Banyak kegiatan yang awalnya dilakukan secara konvensional atau manual kini dapat dilakukan dengan bantuan teknologi. Komputer yang tadinya hanya digunakan untuk mengolah data kini menyediakan banyak layanan, aplikasi dan program yang dapat membantu mempermudah kegiatan manusia. Salah satunya adalah metode Multi Atribute Utility Theory (MAUT) yang merupakan salah satu metode sistem pendukung yang telah banyak digunakan untuk memberikan hasil yang akurat dan efisien. Penelitian ini bertujuan membangun sistem pendukung keputusan pemilihan Balita dan Lansia Sehat di Puskesmas Petatal Kecamatan Talawi Kabupaten Asahan, selama ini proses pemilihan balita dan lansia sehat dilakukan secara konvensional, tanpa menggunakan bantuan aplikasi atau program computer. Sehingga waktu yang dibutuhkan lebih lama serta hasilnya juga kurang objektif. Proses perhitungan menggunakan Metode MAUT dengan alternative 13 Balita dan 15 lansia .Kriteria yang digunakan Berat Badan, Status Gizi, Kandungan Kalium, Kandungan protein dan kandungan karbohidrat. Bobot penilaian 1-5. Hasil adalah 3 Balita dengan total nilai tertinggi Laila (17) Putri Sundar (14,25) dan Tiara dengan nilai 12,25. Tiga orang dengan nilai tertinggi untuk Lansia sehat adalah Rini dewi dengan nilai 17, Joni dengan nilai 14,25 dan Bejo Asmo dengan nilai 12,25. Kata kunci: multi atribute utility theory; MAUT; sistem pendukung keputusan; SPK

show abstract

Analysis of MAUT methods in determining recipients for the hope family program (PKH)

Rahmadani,

Yuma,

Dahriansah

et al. 2024

PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE OF MATHEMATICS AND MATHEMATICS EDUCATION, 2022: Innovative Research of Mathemat

View full text Add to dashboard Cite

The Comparison of Vikor and Maut Methods in the Selection of Used Cars

Cited by 4 publications

References 6 publications

Comparison of WASPAS and VIKOR methods to determine non-cash food assistance recipients

Comparison of WASPAS and VIKOR methods to determine non-cash food assistance recipients

Method of Maut in Determining the Rank of Children and Healthy Elderly at Petatal Puskesmas

Analysis of MAUT methods in determining recipients for the hope family program (PKH)

Contact Info

Product

Resources

About