ANALISIS PENERAPAN METODE ANALYTICAL NETWORK PROCESS (ANP) PADA PEMILIHAN SUPPLIER AYAM POTONG TERBAIK PADA RUMAH MAKAN PADANG UPIK KM 10 KOTA BALIKPAPAN

Supplier selection is a strategic decision in supply chain management that significantly influences the development of competitive advantage, especially in sourcing raw materials. This study aims to identify the most influential criteria in the selection of chicken suppliers and to evaluate the best supplier alternatives, providing guidance for Rumah Makan Padang Upik KM 10 Balikpapan in their decision-making process. The method used is the Analytical Network Process (ANP), which considers the interrelationships between criteria and sub-criteria in determining the best alternatives. This study utilizes Super Decision software for analysis and to obtain a ranking of the chicken suppliers. Four criteria were used, namely product quality, price, location, and delivery. Each criterion has associated sub-criteria, such as chicken condition, taste, size, payment methods, discounts, price, supplier location, infrastructure condition, and delivery process and time. Based on the analysis, the top three suppliers identified were Ayam Potong Abu Firas, Ayam Potong Madinah, and Ayam Potong Kampung Timur. Product quality had the highest weight (0.092059), and among the sub-criteria, the discount on chicken price had the highest weight (0.123772). Ayam Potong Abu Firas ranked first with the highest ideal value (1.000000), Ayam Potong Madinah ranked second with an ideal value of (0.505683), and Ayam Potong Kampung Timur ranked third with an ideal value of (0.316273). The results of this study provide valuable insights for Rumah Makan Padang Upik KM 10 in selecting the most suitable supplier to meet their needs.

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Publication Details

Journal
Prosiding SNAST
Published
2024-11-23
DOI
https://doi.org/10.34151/prosidingsnast.v1i1.4882
Primary Topic
Management and Optimization Techniques
Type
article
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article

ANALISIS PENERAPAN METODE ANALYTICAL NETWORK PROCESS (ANP) PADA PEMILIHAN SUPPLIER AYAM POTONG TERBAIK PADA RUMAH MAKAN PADANG UPIK KM 10 KOTA BALIKPAPAN

Dewa Gede Satria Dharma
Prosiding SNAST
Management and Optimization Techniques
article

ANALISIS PENERAPAN METODE ANALYTICAL NETWORK PROCESS (ANP) PADA PEMILIHAN SUPPLIER AYAM POTONG TERBAIK PADA RUMAH MAKAN PADANG UPIK KM 10 KOTA BALIKPAPAN

Dewa Gede Satria Dharma
article en

Abstract

Supplier selection is a strategic decision in supply chain management that significantly influences the development of competitive advantage, especially in sourcing raw materials. This study aims to identify the most influential criteria in the selection of chicken suppliers and to evaluate the best supplier alternatives, providing guidance for Rumah Makan Padang Upik KM 10 Balikpapan in their decision-making process. The method used is the Analytical Network Process (ANP), which considers the interrelationships between criteria and sub-criteria in determining the best alternatives. This study utilizes Super Decision software for analysis and to obtain a ranking of the chicken suppliers. Four criteria were used, namely product quality, price, location, and delivery. Each criterion has associated sub-criteria, such as chicken condition, taste, size, payment methods, discounts, price, supplier location, infrastructure condition, and delivery process and time. Based on the analysis, the top three suppliers identified were Ayam Potong Abu Firas, Ayam Potong Madinah, and Ayam Potong Kampung Timur. Product quality had the highest weight (0.092059), and among the sub-criteria, the discount on chicken price had the highest weight (0.123772). Ayam Potong Abu Firas ranked first with the highest ideal value (1.000000), Ayam Potong Madinah ranked second with an ideal value of (0.505683), and Ayam Potong Kampung Timur ranked third with an ideal value of (0.316273). The results of this study provide valuable insights for Rumah Makan Padang Upik KM 10 in selecting the most suitable supplier to meet their needs.

Prosiding SNAST
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Management and Optimization Techniques
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