Rekomendasi Pemilihan Mobil dengan Algoritma VIKOR

Kristianto, Brian; Suryadibrata, Alethea; Hansun, Seng

doi:10.34128/jsi.v7i1.269

Cited by 8 publications

(9 citation statements)

References 12 publications

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“…This study confirms that NSFDSS-II as a decision-making technique applied in the DMT can successfully be used in helping the proper decision-making process by related stakeholders. However, future studies to compare the prioritization and selection results with other MCDM methods, such as PROMETHEE [31], TOPSIS [37], and VIKOR [38] can be done. The implementation of social capital concept [39] in the decision-making process, especially in more general cases, also can be considered in the future.…”

Section: Discussion Of the Results Of Developing The New Webbased Dec...mentioning

confidence: 99%

Infrastructure project selection automation using non-structural fuzzy decision support system II

Hansen

Suryadibrata

Hansun

2023

EEJET

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In this study, we develop a web-based Decision-Making Tool (DMT) based on a four-year research project in building the proper multiple criteria Decision-Making Framework (DMF) for infrastructure project selection automation. Several challenges in selecting and prioritizing infrastructure projects include poor front-end planning, lack of project funding, improper investment, unsustainable development, regulatory barriers, and poor coordination among stakeholders. The Non-Structural Fuzzy Decision Support System II (NSFDSS-II) is chosen as the main method applied in the proposed DMF since it could resolve complex multi-criteria problems, even without sufficient information provided. When developing the DMT, Agile software development method is used since the development cycle can be run in a light and fast manner with iterative and incremental processes. The DMT is successfully developed by using PHP, HTML, and JavaScript which implement the proposed NSFDSS-II method. We further tested the decision results from the DMT by using eight real past infrastructure projects from relevant infrastructure agencies in Indonesia, such as the Ministry of Public Works and Housing (MPWH), the Ministry of Transportation, and the Local Government. The DMT outcomes were compared with the actual implementation status and evaluated by an independent expert. It was found that the decision results from the developed DMT are in accordance with the real implementation status of evaluated projects. The DMT is recommended to be used for infrastructure project selection automation. However, despite of its fast and accurate result, the DMT should be tested on larger number of infrastructure projects in the future

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Section: Discussion Of the Results Of Developing The New Webbased Dec...mentioning

confidence: 99%

Infrastructure project selection automation using non-structural fuzzy decision support system II

Hansen

Suryadibrata

Hansun

2023

EEJET

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“…VIKOR Score Calculation: For each alternative, VIKOR calculates a composite value reflecting the distance between a positive ideal solution and a negative ideal solution, taking into account the weight of the criterion. This score measures the degree to which each alternative approaches a positive ideal solution and to what extent it is far from a negative ideal solution [8], [9].…”

Section: A Vikormentioning

confidence: 99%

Implementation of the VIKOR Method and Analytical Hierarchy Process (AHP) in Prioritizing the Recipients of Uninhabitable House Assistance Funds (RTLH)”

Armonitha,

Rahmansyah

2024

ijcs

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Uninhabitable House (RTLH) is one of the social problems often faced by the community. Funding programs for RTLH repairs are important to improve the quality of life and housing conditions of the underprivileged. However, with limited resources, prioritizing the receipt of RTLH funds is a challenge. In this study, two effective multi-criteria decision-making methods, VIKOR Method and Analytical Hierarchy Process (AHP), are implemented to prioritize the receipt of RTLH funds. The combination of these two methods is expected to provide more accurate and accountable results. It is hoped that this research can provide a more holistic and objective method in prioritizing the receipt of RTLH assistance funds. The integration of the VIKOR Method and AHP can provide benefits in making similar decisions in other social and humanitarian fields, as well as helping the government and related institutions in allocating resources more efficiently and fairly. The results of this research are expected to help decision makers prioritize the receipt of RTLH funds objectively and fairly, by considering various relevant criteria.

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“…Selanjutnya penelitian SPK dengan memanfaatkan dan menerapkan metode VIKOR antara lain, untuk menentukan penerima dana bantuan rumah [7], untuk menentukan pembelian smartphone [8], untuk rekomendasi pemilihan mobil [9], untuk pemilihan pembelian kelinci [10], dan untuk mendeteksi mahasiswa dapat menyusun tugas akhir [11].…”

Section: Pendahuluanunclassified

Penerapan Metode VIKOR untuk Penilaian Kinerja Karyawan (Studi Kasus : Rumah Sakit Permata Hati Duri)

2022

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Penilaian kinerja karyawan di rumah sakit Permata Hati Duri dilakukan setiap bulan. Kriteria penilaian terdiri dari kompetensi, profesionalisme, komunikasi, manajemen, dan keramahan. Metode yang digunakan adalah metode VIKOR. Adapun data yang digunakan adalah 10 data karyawan sebagai alternatif. Hasil akhir adalah sistem memberikan rekomendasi penilaian karyawan untuk lima orang dengan urutan AJ, AD, AH, AI dan AA.

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Rekomendasi Pemilihan Mobil dengan Algoritma VIKOR

Cited by 8 publications

References 12 publications

Infrastructure project selection automation using non-structural fuzzy decision support system II

Infrastructure project selection automation using non-structural fuzzy decision support system II

Implementation of the VIKOR Method and Analytical Hierarchy Process (AHP) in Prioritizing the Recipients of Uninhabitable House Assistance Funds (RTLH)”

Penerapan Metode VIKOR untuk Penilaian Kinerja Karyawan (Studi Kasus : Rumah Sakit Permata Hati Duri)

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