@phdthesis{digilib72909,
           month = {August},
           title = {PEMILIHAN SUPPLIER BAHAN BAKU BAJA MENGGUNAKAN METODE ANALYTIC NETWORK PROCESS (ANP)  (STUDI KASUS: PT. SINAR SEMESTA)},
          school = {UIN SUNAN KALIJAGA YOGYAKARTA},
          author = {NIM.: 20106060055 Anfriska Ayu Maharani},
            year = {2025},
            note = {Ir. Syaeful Arief, S.T., M.T.},
        keywords = {Pengambilan Keputusan, Pemilihan Supplier, Bahan Baku Baja, Analytic Network Process (ANP), Multi-Kriteria},
             url = {https://digilib.uin-suka.ac.id/id/eprint/72909/},
        abstract = {In the era of globalization, business competition is becoming increasingly intense, requiring companies to make precise strategic decisions, particularly in supply chain management. One crucial aspect of this process is the selection of raw material suppliers, which directly affects production efficiency, product quality, and customer satisfaction. PT Sinar Semesta, a manufacturing company that applies a Make to Order (MTO) production system, faces challenges in selecting steel suppliers that can meet quality standards and delivery timeliness in line with production requirements.This study applies the Analytic Network Process (ANP) method to support decision-making in supplier selection. ANP is a Multi-Criteria Decision Making (MCDM) approach that enables a comprehensive evaluation of alternatives by considering interrelationships among criteria. Five main criteria were identified: price, quality, service, delivery, and payment, each consisting of several sub-criteria. The results indicate that quality has the highest weight (0.263657), confirming that raw material quality is the top priority in supplier selection. Other criteria, in order of importance, are price (0.171612), delivery (0.113252), service (0.103742), and payment (0.055274). Among the four supplier alternatives, CV. Pandawa achieved the highest ideal score, although CV. Dwi Putra led in the sub-criterion of offering price. This research provides strategic recommendations for PT Sinar Semesta in selecting the optimal steel supplier and demonstrates that the ANP method can serve as an effective decision support tool in the manufacturing industry, particularly in the metal casting sector.}
}