Sistem Pendukung Keputusan Penentuan Biji Kopi Berkualitas Menggunakan Metode Weighted Product

  • Ade Syahputra Universitas Trilogi
  • Budi Arifitama universitas trilogi

Abstract

Coffee beans are one of the largest commodities in Indonesia, the level of consumption of coffee is increasingly in demand as time goes by the processing of coffee products consumed by the people of Indonesia. However, in determining quality coffee beans, it must comply with predetermined criteria. The different types of coffee used in the roasting and brewing process provide a different taste for each coffee produced. The purpose of this study was to determine which types of coffee beans are of high quality by using a Decision Support System approach regarding the quality of coffee beans using the Weighted Product (WP) Method. The weighted product method is used in this study because it is suitable to be applied by comparing coffee beans with the criteria they have by multiplying them to get the ranking results. The criteria in this study consisted of 5 criteria, namely, Aroma, Taste, Price, Roasting and Body. The final result of the ranking using the Weighted Product method is Sumatra coffee (0.2089), Ubud coffee (0.2082) and Kenya coffee (0.2005).

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References

D. A. Nugraha and A. S. Wiguna, “SELEKSI FITUR WARNA CITRA DIGITAL BIJI KOPI MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS,” Res. Comput. Inf. Syst. Technol. Manag., 2020, doi: 10.25273/research.v3i1.5352.

R. R. Maulani, “Peningkatan Kapasitas Wirausaha Petani Kopi Gunung Geulis Dalam Rangka Meningkatkan Pendapatan Dengan Menerapkan Konsep Green Bussiness Kopi,” Semin. Nas. Pengabdi. Kpd. Masy. UNDIP 2020, 2020.

G. P. Sanyoto, R. I. Handayani, and E. Widanengsih, “Sistem Pendukung Keputusan Pemilihan Laptop Untuk Kebutuhan Operasional Dengan Metode Ahp ( Studi Kasus :,” J. Pilar Nusa Mandiri Vol.13, No. 2., 2017.

J. Fitriana, E. F. Ripanti, and T. Tursina, “Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Profile Matching,” J. Sist. dan Teknol. Inf., 2018, doi: 10.26418/justin.v6i4.27113.

R. T. W. Nugraha, B. Arifitama, and Y. Yaddarabullah, “Decision Support System for Rewarding Courier Employees in North Jakarta Using Profile Matching,” J. Integr., 2021, doi: 10.30871/ji.v13i1.2535.

I. J. Sasongko and M. Rivai, “Mesin Pemanggang Biji Kopi dengan Suhu Terkendali Menggunakan Arduino Due,” J. Tek. ITS, 2018, doi: 10.12962/j23373539.v7i2.31205.

M. R. Noviansyah, W. Suharso, D. R. Chandranegara, M. S. Azmi, and M. Hermawan, “Sistem Pendukung Keputusan Pemilihan Laptop Pada E-Commerce Menggunakan Metode Weighted Product,” Pros. SENTRA (Seminar Teknol. dan Rekayasa), 2019.

N. A. Syafitri, Sutradi, and A. P. Dewi, “Penerapan Metode Weighted Product Dalam Sistem Pendukung Keputusan Pemilihan Laptop Berbasis Web,” semanTIK, 2019.

D. Zidifaldi, “SISTEM PENDUKUNG KEPUTUSAN DALAM MEMILIH LAPTOP GAMING DAN CONTENT CREATOR SESUAI KEBUTUHAN DENGAN MENGGUNAKAN METODE WEIGHTED PRODUCT,” J. Digit. Teknol. Inf., 2020, doi: 10.32502/digital.v3i2.2636.

M. Abidin, R. Tamin, and U. Khairat, “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN BIJI KOPI BERKUALITAS DENGAN METODE ANALITYCAL HIERARCHY PROCESS (AHP),” J. Peqguruang Conf. Ser., 2020, doi: 10.35329/jp.v2i1.1390.

A. Djoko Rachmato and J. Andini Risanti, “Sistem Pendukung Keputusan Kualitas Biji Kopi Dengan Metode Ahp (Analytical Hierarchy Process) Studi Kasus Cafe Kaki Bukit Lembang,” J. FIKI, 2019.

M. Rani, R. Ardiansyah, and D. Christina, “Sistem pendukung keputusan pemilihan supplier cosmetic dengan metode weighted product,” JRTI (Jurnal Ris. Tindakan Indones., 2021, doi: 10.29210/3003848000.

S. N. Ambo, R. Mujiastuti, and E. Susilowati, “Analisis Pemilihan Tenaga Kependidikan Terbaik Menggunakan Metode Weighted Product,” JISA(Jurnal Inform. dan Sains), vol. 2, no. 2, 2019, doi: https://doi.org/10.31326/jisa.v2i2.491.

Published
2023-04-30