Rekomendasi Kualitas Getah Karet Terbaik Berbasiskan Sistem Pendukung Keputusan dengan Metode MAUT
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Dasril Aldo
*
Institut Teknologi Telkom Purwokerto, Banyumas,
Indonesia
(*) Corresponding Author
Abstract
Rubber latex is a raw material that is widely used as the main ingredient in the manufacture of various kinds of tools, so that the quality of the rubber latex must be paid close attention. In connection with this quality, there are several things that must be considered including the age of the tree, tapping time, dry rubber content, color and texture. The problem in determining the best quality of rubber latex is that it is not paid enough attention to by farmers and most farmers tap rubber tree sap only based on feeling or hunch. If this continues to happen, it will cause the production of tools that use rubber latex to become of less quality. In addition, the production department will also need a long time to select quality raw materials. Decision support systems can be used as an alternative to help with these problems. The Multi-Attribute Utility Theory (MAUT) method is used as a method for analyzing sample data from rubber latex based on the value of each existing criterion. The stages of the MAUT method have seven processes, namely the starting stage, determining alternatives and also criteria, displaying inputted data and alternatives, determining the weights for each criterion, creating a normalization matrix and decision matrix, then doing the sum of the results of normalization with criterion weights. After obtaining the decision value, the system will display the results of recommendations or decisions from each available alternative. From testing 30 rubber latex data, it was found that 17 data showed good quality with a value of 0.56 to 1.00 and 13 data showed bad quality with a value of 0.20 to 0.55. After a comparison between manual calculations and the system built did not show any difference in results, so that the decision support system built can be a tool to assist in making decisions regarding the quality of rubber latex
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References
J. S. Gunadi Widi Nurcahyo, Dasril Aldo, “Identifikasi Sanitasi Rumah Sehat dengan Metode Multifactor Evaluation Process,” SITEKIN, vol. 16, pp. 122–127.
R. Ardianto, A. Herliana, A. R. S. K. Wardhani, T. D. Fuady, and D. Aldo, “Pemberian Kredit Telepon Seluler Menggunakan Metode Topsis Pada Mars Phone Cell Tasikmalaya,” JURSIMA (Jurnal Sist. Inf. dan Manajemen), vol. 10, no. 1, pp. 248–260, 2022.
R. D. Kurniawati and I. Ahmad, “PROFILE MATCHING PADA UPTD PLUT KUMKM PROVINSI LAMPUNG,” J. Teknol. dan Sist. Inf., vol. 2, no. 1, pp. 74–79, 2021.
D. P. Tarigan and A. Wantoro, “SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT MOBIL DENGAN FUZZY TSUKAMOTO ( STUDI KASUS : PT CLIPAN FINANCE ),” TELEFORTECH, vol. 1, no. 1, pp. 32–37, 2020.
S. K. Simanullang and A. G. Simorangkir, “Sistem Pendukung Keputusan Penerimaan Calon Karyawan Menggunakan Metode Simple Additive Weighting,” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 472–478, 2021.
D. Wira, T. Putra, S. Noviasanti, G. Y. Swara, and E. Yulianti, “Metode topsis dalam sistem pendukung keputusan pemilihan objek wisata,” vol. 8, no. 1, pp. 1–6, 2020, doi: 10.21063/JTIF.2020.V8.1.
G. S. Mahendra and I. P. Y. Indrawan, “METODE AHP-TOPSIS PADA SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENEMPATAN AUTOMATED TELLER MACHINE,” vol. 9, no. 2, 2020.
I. Syafrinal and D. Aldo, “PENENTUAN PERWAKILAN OLIMPIADE MATEMATIKA DENGAN METODE SIMPLE ADDITIVE WEIGHTING ( SAW ),” JURSIMA (Jurnal Sist. Inf. dan Manajemen), vol. 8, no. 1, 2020.
D. ALDO, N. PUTRA, and Z. MUNIR, “Sistem Pendukung Keputusan Penilaian Kinerja Dosen Dengan Menggunakan Metode Multi Attribute Utility Theory ( Maut ),” JURSIMA, vol. 7, no. 2, pp. 16–22, 2019.
F. El Khair, S. Defit, and Y. Yunus, “Sistem Keputusan Dengan Metode Multi Attribute Utility Theory Dalam Penilaian Kinerja Pegawai,” J. Inf. dan Teknol. Vol., vol. 3, no. 4, pp. 215–220, 2021, doi: 10.37034/jidt.v3i4.155.
M. M. Boangmanalu, B. Purba, and Mesran, “Implementasi Metode MAUT Dalam Seleksi Calon Marketing Retail dengan menerapkan pembobotan ROC,” vol. 16, no. 2, pp. 81–91, 2022.
S. Rihastuti, “Penerapan Metode Multi Attribute Utility Theory dalam Pemilihan Karyawan Terbaik di STMIK Amikom Surakarta,” vol. 5, no. 2, pp. 1–11, 2019.
J. H. Lubis, S. Esabella, Mesran, Desyanti, and D. M. Simanjuntak, “Penerapan Metode Multi Attribute Utility Theory ( MAUT ) Dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi,” J. Media Inform. Bididarma, vol. 6, no. April, pp. 969–978, 2022, doi: 10.30865/mib.v6i2.3909.
Y. Setiawan and S. Budilaksono, “Sistem Pendukung Keputusan Pemilihan Mahasiswa Lulusan Terbaik Dengan Menggunakan Metode Multi Attribute Utility Theory ( Maut ) Di Stmik Antar Bangsa,” vol. 6, no. 2, pp. 12–20.
R. T. Aldisa, D. M. Simanjuntak, and S. Laia, “Penerapan Metode Metode Multy Attribute Utility Theory ( MAUT ) dalam Pemilihan Asisten Laboratorium Komputer,” vol. 6, pp. 1782–1788, 2023, doi: 10.30865/mib.v6i3.4171.
A. Triayudi and J. D. Rajagukguk, “Implementasi Metode MAUT Dalam Menentukan Prioritas Produk Unggulan Daerah Dengan Menerapkan Pembobotan ROC,” vol. 3, no. 4, 2022, doi: 10.47065/josyc.v3i4.2216.
S. Darmansyah, “Sistem Penentuan Rumah Kost Menggunakan Metode Multi Attribute Utility Theory,” Cyberarea, vol. 2, no. 7, pp. 1–10, 2022.
I. T. Silitonga, M. Syahril, and A. Calam, “Penerapan Metode MAUT Untuk Menentukan Kader Partai Terbaik,” vol. 1, pp. 332–339, 2022.
I. Syafrinal and D. Aldo, “Implementasi Metode Analytical Hierarchy Process ( AHP ) Untuk Penilaian Rumah Huni,” J. INOVTEK POLBENG - SERI Inform., vol. 5, no. 1, pp. 205–217, 2020.
J. M. Harahap, “SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PEMILIHAN POSISI KEPALA UNIT ( KANIT ) PPA DENGAN,” JUST IT, vol. 11, no. 1, pp. 37–44, 2020.
R. Puspita, “Metode Multi Attribute Utility Theory ( MAUT ) Dalam Keputusan Pengendalian Persediaan Obat dan Alat Kesehatan,” J. Inf. dan Teknol., vol. 4, no. 3, pp. 5–9, 2022, doi: 10.37034/infeb.v4i3.148.
R. N. Sari and R. S. Hayati, “Penerapan Metode Multi Attribute Utility Theory ( MAUT ) Dalam Pemilihan Rumah Kost,” vol. 3, no. September, pp. 243–251, 2019.
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