DIAN SETIAWAN, NPM 2209400159 (2026) PENERAPAN METODE ADDITIVE RATIO ASSESMENT PADA PEMILIHAN JASA KIRIM LOGISTIK PRODUK MAKANAN. Tugas_Akhir(Artikel) : Jurnal TEKINKOM (Teknik Informasi Dan Komputer) Sinta 4, 8 (2). pp. 503-512. ISSN 2621-3079 (e-ISSN) / 2621-1556 (p-ISSN)
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Abstract
PT Perkasa Jaya is a frozen food distribution campany in Riau Province that requires cold chain logistics service to ensure product quality is maintained during the distribution process to varios regions in Sumatra. Selecting the right logistics vendor is a crucial factor in supporting a smooth supply chain, but this process is often complex because it involves many criteria such as timeliness, fleet quality, cost, service capacity, and distribution reach. To assist objective decision making, this decision support system research uses the ARAS (Additive Ration Assesment) method, which assesses alternatives based on a process of normalization, weighting, and calculating utility values (Ki) to determine the level of closeness of each vendor to the ideal condition. The analysis results show that vendor 3 (V3) has the highest utility value of 0,977, making it the main recommendation as a cold chain logistics service provider for PT Perkasa Jaya, followed by V5 with a value of 0,976 in second place, meanwhile, V9 obtainde the lowest utility value of 0.685 and is the least recommended alternative. Keywords : Decission Support, ARAS, MCDM, Logostoc Expedition
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | PT Perkasa Jaya is a frozen food distribution campany in Riau Province that requires cold chain logistics service to ensure product quality is maintained during the distribution process to varios regions in Sumatra. Selecting the right logistics vendor is a crucial factor in supporting a smooth supply chain, but this process is often complex because it involves many criteria such as timeliness, fleet quality, cost, service capacity, and distribution reach. To assist objective decision making, this decision support system research uses the ARAS (Additive Ration Assesment) method, which assesses alternatives based on a process of normalization, weighting, and calculating utility values (Ki) to determine the level of closeness of each vendor to the ideal condition. The analysis results show that vendor 3 (V3) has the highest utility value of 0,977, making it the main recommendation as a cold chain logistics service provider for PT Perkasa Jaya, followed by V5 with a value of 0,976 in second place, meanwhile, V9 obtainde the lowest utility value of 0.685 and is the least recommended alternative. Keywords : Decission Support, ARAS, MCDM, Logostoc Expedition |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > Sistem Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 07 May 2026 09:43 |
| Last Modified: | 07 May 2026 09:44 |
| URI: | http://repository.ulb.ac.id/id/eprint/2243 |
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