Sistem Pendukung Keputusan Pemilihan Cafe di Yogyakarta dengan Menggunakan Metode Simple Additive Weighting (SAW)

  • Muhammad Nur Hendra Alvianto Universitas Pembangunan Nasional Veteran Yogyakarta
  • Shoffan Saifullah Universitas Pembangunan Nasional Veteran Yogyakarta
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Abstract

The development of the culinary business in Indonesia is developing very fast, one of which is the business of blending coffee drinks or commonly called café. This business is growing very fast, and there are many variants of concoctions in Indonesia, one of which is located in Yogyakarta. The many cafes that open in Yogyakarta have an impact on students' confusion to choose which recommendations are most comfortable for students to use as a place of discussion or place of study. Besides, usually, newcomers, especially students who have just arrived in Yogyakarta, tour the city in search of places that are comfortable to use to unwind. In this study, conducting interviews with 10 respondents, the results were processed and processed using the Simple Additive Weighting (SAW) method. SAW is one of the methods used in making decisions. This method is used to determine the best café recommendations in Yogyakarta. These café recommendations are expected to be in accordance with what students are looking for by taking into account café facilities, café locations, and the price range offered. The calculation result of the SAW method in the recommended cafe in Yogyakarta is Cafe B, with a yield of 9.4, which is the highest value. Based on the results of these calculations and analysis, the facilities provided by the café are the main attraction for visitors. Besides, the use of the SAW method can also provide the best café recommendations as initial recommendations for new students in Yogyakarta

References

A. Deviona and F. Adhilla, “Pengukuran Kualitas Layanan Terhadap Kepuasan Pelanggan (Studi Pada Rumah Makan Cepat Saji Olive Fried Chicken di Jalan Glagahsari Yogyakarta),” J. Fokus Manaj. Bisnis, vol. 5, no. 2, pp. 133–144, 2020.

A. Hidayat and I. T. Utami, “Decision Support System To Determine the Location New Cafe Suncafe As a Tourist Culinary Tour in District Pringsewu By Using Simple Additive Weighting,” Int. J. Inf. Syst. Comput. Sci., vol. 1, no. 2, pp. 10–21, 2017.

S. Sunarti, “Sistem Pendukung Keputusan Pemilihan Wisata Kuliner Di Wilayah Kota Depok Menggunakan Metode Simple Additive Weighting (SAW),” J. Eksplora Inform., vol. 9, no. 2, pp. 105–110, 2020.

A. Saputra, B. Mulyawan, and T. Sutrisno, “Rekomendasi Lokasi Wisata Kuliner di Jakarta Menggunakan Metode K-means Clustering dan Simple Additive Weighting,” J. Ilmu Komput. dan Sist. Inf., vol. 7, no. 1, pp. 14–21, 2019.

M. G. Resmi and D. Irmayanti, “Metode Simple Additive Weighting Dalam Sistem Pendukung Keputusan Pemilihan Tempat Kuliner Di Kabupaten Purwakarta,” PIKSEL Penelit. Ilmu Komput. Sist. Embed. Log., vol. 7, no. 1, pp. 23–32, 2019.

Y. Setiawan, B. Susilo, A. Erlansari, S. Firdaus, and E. Maryanti, “Design and Implementation of the Culinary Recommendation System Using Sentiment Analysis and Simple Adaptive Weighting in Bengkulu, Indonesia,” Proceeding Electr. Eng. Comput. Sci. Informatics, vol. 5, no. 5, pp. 603–607, 2018.

M. A. Maulana, M. Habib, A. Setyanto, and Oktavia, “Tourism Trend Mapping Based on Social Media Using {SAW} Algorithm,” J. Phys. Conf. Ser., vol. 1140, p. 12041, 2018.

H. D. Ramandita, A. Setyanto, I. B. Sumafta, and others, “Food trend based on social media for big data analysis using K-mean clustering and SAW: A case study on Yogyakarta culinary industry,” in 2018 International Conference on Information and Communications Technology (ICOIACT), 2018, pp. 549–554.

S. Eniyati, “Perancangan Sistem Pendukung Pengambilan Keputusan untuk Penerimaan Beasiswa dengan Metode SAW (Simple Additive Weighting),” J. Teknol. Inf. Din., vol. 16, no. 2, pp. 171–176, 2011.

M. Hidayat and M. A. M. Baihaqi, “Sistem Pendukung Keputusan Untuk Pemilihan Hotel Dengan Simple Additive Weighting (SAW) Berbasis Web,” in Seminar Nasional Teknologi Informasi dan Multimedia, 2016, pp. 61–66.

M. S. D. Utomo, “Penerapan Metode Saw (Simple Additive Weight) Pada Sistem Pendukung Keputusan Untuk Pemberian Beasiswa Pada Sma Negeri 1 Cepu Jawa Tengah,” Fak. Ilmu Komput. Univ. Dian Nuswantoro, Semarang, pp. 1–12, 2015.

R. Helilintar, W. W. Winarno, and H. Al Fatta, “Penerapan Metode SAW dan Fuzzy Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa,” Creat. Inf. Technol. J., vol. 3, no. 2, p. 89, Sep. 2016.

M. Dahria, S. N. Arief, I. Santoso, and R. Kustini, “Sistem Pendukung Keputusan Menentukan Tingkat Kepuasan Customer Terhadap Pelayanan Jasa Kebersihan Di Pt. SASMenggunakanMetode Fuzzy Asosiative Memory,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 3, no. 1, pp. 1–11, 2020.

S. Suparmadi and S. Santoso, “Sistem Pendukung Keputusan Seleksi Penerima Bantuan Sosial Untuk Keluarga Miskin Dengan Metoda Simple Additive Weighting (SAW),” J. Sci. Soc. Res., vol. 2, no. 1, pp. 21–28, 2020.

Y. S. B. Ketaren, “Pemilihan Supplier Bahan Baku CaCO3 pada PT. Pusaka Prima Mandiri dengan Model Fuzzy Multi Attribute Decision Making (FMADM) Menggunakan Metode Simple Additive Weighting (SAW),” 2019.

A. Y. Saputra, “Sistem Pendukung Keputusan Penentuan Nomor Urut Caleg dengan Metode SAW,” Creat. Inf. Technol. J., vol. 2, no. 2, pp. 93–101, 2015.

R. Mujiastuti, “Sistem Penilaian Kinerja Karyawan Menggunakan Metode Simple Additive Weighting (SAW),” JUST IT J. Sist. Informasi, Teknol. Inf. dan Komput., vol. 9, no. 2, pp. 133–141, 2019.

S. Kusumadewi, S. Hartati, A. Harjoko, and R. Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). 2006.

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Published
2022-09-15