Aplikasi Pemilihan Tanaman Hias Menggunakan Metode Weight Product Dan Smart Berbasis Web
DOI:
https://doi.org/10.30865/jurikom.v10i1.5635Keywords:
Plants, WP, Ranking, SMART, WebAbstract
Ornamental plants are plants with aesthetic and aesthetic values that are used to beautify and beautify the atmosphere of rooms in homes, gardens, office buildings, courtyards, hotels, and restaurants. This is a popular foliage plant trend, and every follower has a different taste. Ornamental plants that are generally very popular are agronema, anthurium, adansoni, calathea, monstera and sansevieria. A decision support system is needed to help identify and find out which ornamental plants are most needed by the community. The method used in this system is the Weight Product (WP) method and the SMART method. The WP method is an analytical method for multi-criteria decision making (MCDM). While the SMART method is a multi-characteristic dynamic strategy. This strategy uses multi-trait decisions to aid decision making when exploring multiple options. All leaders must make choices as indicated by the stated goals. This study produces a system to determine the selection of the best ornamental plants. The comparison of the two methods is expected to be more helpful in selecting ornamental plants to be more targeted. The WP and SMART methods using 10 alternative data show that both methods get accurate and suitable data when applied as a ranking of ornamental plants. Both of these methods have an elective execution score and the results of the weight values applied to each techniqueReferences
M. Ramli, “Hias Berbasis Web,†2021.
M. Forest and A. Kecamatan, “Tingkat Kepuasan Konsumen terhadap Tanaman Hias di Bursa dan Pelelangan Level of Consumer Satisfaction with Ornamental Plants Stocked and Auction of Menggung Forest Art 2 Tawangmangu,†vol. 1, no. June, pp. 1–9, 2022.
D. Diana and I. Seprina, “Sistem Pendukung Keputusan untuk Menentukan Penerima Bantuan Sosial Menerapkan Weighted Product Method (WPM),†J. Edukasi dan Penelit. Inform., vol. 5, no. 3, p. 370, 2019, doi: 10.26418/jp.v5i3.34971.
H. Di Kesuma, R. Yanto, ul Hamidani, P. Studi Sistem Informasi, and S. Bina Nusantara Jaya Lubuklinggau, “Penerapan Metode SMART dan ISO 9126 dalam Pemilihan Penerima Bantuan Langsung Tunai Application of the SMART Method and ISO 9126 in the Selection of Cash Transfer Beneficiaries,†Cogito Smart J. |, vol. 8, no. 1, pp. 147–160, 2022.
N. Destria, “Sistem Pendukung Keputusan Perusahaan yang Berprestasi dalam Sektor Indutri dengan Metode Weighted Product,†J. Ris. Sist. Inf. dan Teknol. Inf., vol. 3, no. 2, pp. 1–11, 2021, doi: 10.52005/jursistekni.v3i2.88.
I. Ramadhani, “Sistem Pendukung Keputusan Dengan Metode Weighted Product pada Manajemen Bimbingan Konseling SMA Negeri 1 Rejoso berpedoman pada data Pedoman Penilaian Kepribadian Siswa mengenai nilai-nilai pada tiap-tiap poin pelanggaran yang dilakukan oleh siswa . Dari,†vol. 6, no. 1, pp. 105–118, 2021.
R. Nugraha, G. Abdillah, and R. Ilyas, “Kabupaten Cianjur Menggunakan Metode Analytic,†pp. 37–42, 2018.
B. T. Hutagalung, E. T. Siregar, and J. H. Lubis, “Penerapan Metode SMART dalam Seleksi Penerima Bantuan Sosial Warga Masyarakat Terdampak COVID-19,†J. Media Inform. Budidarma, vol. 5, no. 1, p. 170, 2021, doi: 10.30865/mib.v5i1.2618.
Z. Azhar, “Penentuan Penempatan Karyawan Baru Di Pdam Kisaran Dengan Metode SMART,†JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. 4, no. 2, pp. 179–184, 2018, [Online]. Available: https://jurnal.stmikroyal.ac.id/index.php/jurteksi/article/view/46.
A. A. Muin, “Perbandingan Metode Saw Dan Metode Smart Dalam Pemilihan Kuliner Khas Kalimantan Selatan Terbaik,†Technol. J. Ilm., vol. 11, no. 4, p. 206, 2020, doi: 10.31602/tji.v11i4.3641.
Faizal, F. A. Styaningsih, and M. Diponegoro, “Implementasi Sistem Pendukung Keputusan dengan Metode SMART untuk Merangking Kemiskinan dalam Proses Penentuan Penerima Bantuan PKH,†J. Coding Sist. Komput. Untan, vol. 05, no. 2, pp. 13–24, 2017.
E. B. Sambani and F. Nugraha, “Sistem Pendukung Keputusan Untuk Menentukan Status Karyawan Kontrak Menjadi Karyawan Tetap Menggunakan Metode SMART keputusan yaitu metode Simple Multi Attribut Rating Tachnique ( SMART ) yang Metode System Development Life Cycle ( SDLC ). Sistem penujnan,†J. Sist. Inf. Dan Teknol. Inf., vol. 7, no. 2, pp. 116–123, 2018.
H. Priatna, J. Mulyana, and Dedih, “Perbandingan Metode Smart Dan Simple Additive Weighting (Saw) Dalam Menentukan Karyawan Tetap Berbasis Web,†UNSIKA Syntax J. Inform., vol. 5, no. 1, pp. 53–85, 2016.
Y. Yusuf and L. Bachtiar, “Analisis Perbandingan Sistem Pendukung Keputusan Menggunakan Metode SAW dan WP Dalam Penilaian Kinerja Tenaga Kontrak,†J. Sist. Komput. dan Inform., vol. 4, no. 1, p. 37, 2022, doi: 10.30865/json.v4i1.4421.
M. Rasyid, M. S. Martaleli Bettiza S.Si, and S. S. S.kom, “Analisa Perbandingan Metode Simple Additive Weighting (SAW) Dan Metode Simple Multi Atribute Rating Technique (SMART) Dalam Pemberian Beasiswa (Studi Kasus Pemerintah Kota Batam),†pp. 1–14, 2017.
S. Wijayanti, “Weighted Product ( Wp ) Berbasis Web,†vol. 6, no. 2, pp. 70–77, 2020.
E. Ningsih, Dedih, and Supriyadi, “Usaha Makanan Yang Tepat Menggunakan Weighted Product (WP) Berbasis Web,†Ilk. J. Ilm., vol. 9, no. 3, pp. 244–254, 2017.
R. Setiadi, C. Suhery, and R. Hidayati, “Sistem Pendukung Keputusan Evaluasi PemilihanPemenang Dalam Pelelangan Pengadaan AsetJalan Dan Jembatan Menggunakan MetodeWeighted Product (Wp) Berbasis Web,†Portal J. Ilm. Univ. Tanjungpura, vol. 07, no. 3, pp. 144–154, 2019.
J. F. Eka and D. Priharsari, “Sistem Pendukung Keputusan Pemilihan Persediaan Bahan Produksi dengan menggunakan Metode Weighted Product berbasis Android ( Studi Kasus : Burger Moe ),†vol. 6, no. 8, pp. 4017–4024, 2022.
Gunawan and A. P. Nugroho, “Perbandingan Sistem Pendukung Keputusan Metode Weighted Product dan Simple Additive Weighting (Studi Kasus : Pemilihan Media Cetak sebagai Sarana Promosi di Balikpapan),†Semin. Nas. Teknol. Inf. dan Multimed., pp. 19–24, 2018, [Online]. Available: http://ojs.amikom.ac.id/index.php/semnasteknomedia/article/download/1972/1781.
