Implementasi Metode SAW Dan MAUT Dalam Sistem Pendukung Keputusan Menentukan Verietas Nanas Terbaik

  • Rahmad Aditiya * Mail Universitas Al Washliyah Labuhanbatu, Indonesia
  • Angga Putra Juledi Universitas Labuhanbatu, Indonesia
  • Kusmanto Universitas Al Washliyah Labuhanbatu, Indonesia
  • Andi Ernawari Sekolah Tinggi Ilmu Kesehatan As Syifa, Indonesia
  • Muhammad Bobbi Kurniawan Nasution Universitas Al Washliyah Labuhanbatu, Indonesia
DOI: https://doi.org/10.47065/bit.v7i2.2993
Keywords: SAW, MAUT, SPK, Buah Nanas, Agribisnis

Abstract

This research aims to assist farmers and agribusiness practitioners in determining the best pineapple variety in a more objective and systematic manner. Ultimately, this will positively impact the productivity and quality of pineapple yields, providing greater economic benefits to farmers and agribusiness practitioners. To address this issue, a Decision Support System (DSS) was employed using the SAW and MAUT methods. The SAW method is a simple and easily implemented MCDM method. It works by assigning weights to each criterion and then calculating the total score for each alternative based on these weights. On the other hand, the MAUT method is a more comprehensive approach to multi-criteria decision-making. This method is based on utility theory, which considers the decision-maker's preferences regarding various attributes or criteria. By using the SAW and MAUT methods, we can determine the best pineapple variety selection based on the available data. From the previously collected data, this study uses 5 criteria: Size (30%), Taste (25%), Skin Color (20%), Water Content (15%), and Texture (10%). The implementation of the SAW and MAUT methods revealed that the best pineapple variety is A5 (MD2) with a score of 0.9125 using the SAW method and a score of 2.2062 using the MAUT method. The last-ranked alternative, A10, shared the same ranking.

References

L. Azomah, Bambang Budi Santoso, and Uyek Malik Yakop, “Teknik Budidaya Tanaman Nanas (Ananas comosus (L.) Merr.) di Japan Agricultural (JA) Okinawa,” J. Ilm. Mhs. Agrokomplek, vol. 2, no. 2, pp. 247–256, 2023, doi: 10.29303/jima.v2i2.2628.

I. Hartini, “Peranan Penyuluh Pertanian Dalam Mendukung Keberlanjutan Agribisnis Petani Muda Di Kecamatan Tanjung Tebat Kabupaten Lahat,” J. Ilmu Pertan. Kelingi, vol. 1, no. 2, pp. 43–55, 2022, doi: 10.58328/jipk.v1i2.24.

T. Atbm, L. Pasar, and B. Desa, “Inovasi Pemanfaatan Budidaya Nanas , Edu-Agrowisata ,” vol. 5, no. 2, pp. 103–111, 2023.

A. Yusril, T. Y. Hendrawati, and R. A. Nugrahani, “Peningkatan Rendemen Nata de Pina dengan Perlakuan Konsentrasi Starter dan Asam Asetat dari Kulit Nanas Varietas Tangkit,” J. Agroteknologi, vol. 17, no. 01, pp. 16–27, 2023, [Online]. Available: https://doi.org/10.19184/j-agt.v17i01.39099

A. B. Nasution, D. Widyati, and F. H. Ritonga, “Sistem Pendukung Keputusan Pemilihan Buah-Buahan Layak Jual Menggunakan Metode MOORA,” Sist. Pendukung Keputusan dengan Apl., vol. 1, no. 2, pp. 58–67, 2022, doi: 10.55537/spk.v1i2.116.

P. Utomo and D. N. Amadi, “Pemilihan Tanaman Pangan Untuk Ketahanan Pangan Masa Pandemi Dengan Simple Additive Weighting Di Kabupaten Madiun,” Fountain Informatics J., vol. 5, no. 3, p. 12, 2020, doi: 10.21111/fij.v5i3.4924.

R. Mesra et al., “Tantangan Petani Cabai Dalam Mencari Buruh Panen Di Desa Parepei, Kabupaten Minahasa,” J. Paradig. J. Sociol. Res. Educ., vol. 3, no. 2, pp. 133–141, 2022, doi: 10.53682/jpjsre.v3i2.5471.

S. F. Pantatu and I. C. R. Drajana, “Sistem Pendukung Keputusan Penerima Bantuan UMKM Menggunakan Metode MAUT,” J. Nas. Komputasi dan Teknol. Inf., vol. 5, no. 2, pp. 317–325, 2022, doi: 10.32672/jnkti.v5i2.4207.

I. Metode, M. Dan, and S. A. W. Dalam, “TEMPAT WISATA DI KABUPATEN KARAWANG yang paling baik sesuai dengan ketentuan Attribute Utility Theory ( MAUT ) dan Simple Additive Weighting ( SAW ) dengan ( MAUT ) merupakan suatu metode ( SAW ) sering juga dikenal dengan istilah dasar metode Simple Addi,” vol. 17, pp. 71–80, 2022.

E. Y. Dewasasmita and H. Hendry, “Perbandingan Metode SAW, MAUT, ORESTE, TOPSIS dalam Pendukung Keputusan Pembangunan Supermarket di Kabupaten Pati,” J-SAKTI (Jurnal Sains …, vol. 7, no. September, pp. 555–569, 2023, [Online]. Available: http://ejurnal.tunasbangsa.ac.id/index.php/jsakti/article/view/666%0Ahttp://ejurnal.tunasbangsa.ac.id/index.php/jsakti/article/download/666/641

B. Sehat, “JU-KOMI JU-KOMI,” vol. 1, no. 2, pp. 19–29, 2023.

J. Hutahaean, Z. Azhar, N. Mulyani, I. S. P. Sihite, and ..., “Penerapan Sistem Pendukung Keputusan Dalam Penerimaan Sales Internet Provider Dengan Menggunakan Metode WASPAS dan Pembobotan ROC,” … Ilm. Inform. dan …, vol. 4, no. 3, pp. 1362–1368, 2023, doi: 10.30865/klik.v4i3.1355.

I. A. Setyani and Y. R. Sipayung, “Sistem Pendukung Keputusan Menentukan Siswa Berprestasi dengan Metode SAW (Simple Addtive Weighting),” J. Sist. Komput. dan Inform., vol. 4, no. 4, p. 632, 2023, doi: 10.30865/json.v4i4.6179.

A. Fitrul Hadi, R. Permana, and H. Syafwan, “Decision Support System in Determining Structural Position Mutations Using Simple Additive Weighting (SAW) Method,” J. Phys. Conf. Ser., vol. 1339, no. 1, 2019, doi: 10.1088/1742-6596/1339/1/012015.

I. Taufik, C. N. Alam, Z. Mustofa, A. Rusdiana, and W. Uriawan, “Implementation of Multi-Attribute Utility Theory (MAUT) method for selecting diplomats,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1098, no. 3, p. 032055, 2021, doi: 10.1088/1757-899x/1098/3/032055.

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Published
2026-06-27
How to Cite
Aditiya, R., Putra Juledi, A., Kusmanto, Ernawari, A., & Bobbi Kurniawan Nasution, M. (2026). Implementasi Metode SAW Dan MAUT Dalam Sistem Pendukung Keputusan Menentukan Verietas Nanas Terbaik. Bulletin of Information Technology (BIT), 7(2), 178 - 288. https://doi.org/10.47065/bit.v7i2.2993
Issue
Vol 7 No 2 (2026)
Section
Articles

Copyright (c) 2026 Rahmad Aditiya, Angga Putra Juledi, Kusmanto, Andi Ernawari, Muhammad Bobbi Kurniawan Nasution

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