Sistem Pendukung Keputusan untuk Menentukan Hasil Bisnis Pujasera Terbaik dimasa Pandemi Covid 19 dengan Metode Fuzzy Tahani dan Simple Additive Weighting (SAW) berbasis Website (Studi Kasus: Pujasera Hangout Salihara)

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Mohammad Aldinugroho Abdullah
Iskandar Fitri
Novi Dian Nathasia

Abstract

Pujasera Hangout Salihara is a company engaged in the business of serving food and beverages for the public. During the Covid 19 pandemic, there were many impacts, one of which was in the restaurant business sector. With the Fuzzy database method Tahani model and Simple Additive Weighting are used in determining the destination of the favorite food menu at the food court according to customer desires accurately, quickly, and easily understandable, helping the food court owner and tenant of the food court at the salihara hangout food court in providing food menu recommendations, the most popular drink menu and the highest and lowest rating of each food court in a week or a month. The method of Fuzzy database model Tahani and Simple Additive Weighting are applied in making a decision support system with stages determined by the researcher. The result of the Decision Support System is a system that can assist in making decisions that are carried out accurately and according to the desired goals. In applications that have been built, the results are based on the value of the degree of membership and the truth value of the calculation process in the application. Testing is done by means of the BlackBox testing.

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How to Cite
Abdullah, M. A., Fitri, I., & Nathasia, N. D. (2021). Sistem Pendukung Keputusan untuk Menentukan Hasil Bisnis Pujasera Terbaik dimasa Pandemi Covid 19 dengan Metode Fuzzy Tahani dan Simple Additive Weighting (SAW) berbasis Website (Studi Kasus: Pujasera Hangout Salihara). Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 5(1), 97–102. https://doi.org/10.35870/jtik.v5i1.202
Section
Computer & Communication Science

References

Nasir, J., 2018. Pemodelan Fuzzy Tahani untuk Menentukan Kelayakan Sertifikasi Guru (Studi Kasus di SMA Negeri 1 Batam). InfoTekJar: Jurnal Nasional Informatika dan Teknologi Jaringan, 3(1), pp.32-42.

Akbar, R., 2018. Perancangan Aplikasi Perangkingan Perguruan Tinggi Menggunakan Fuzzy Simple Additive Weighting (SAW)(Studi Kasus: 25 PT Wilayah Kopertis XIII Provinsi Aceh). Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 2(1), pp.1-10.

Hasugian, H., Mursyidin, I.H. and Handayani, M.D., 2018. Sistem Penunjang Keputusan Pemberian Kredit Dengan Metode Simple Additive Weighting (Saw) Studi Kasus: Koperasi Karyawan Gatera PT PLN (Persero) Area Kebayoran.

Kusumadewi, S.H., Hartatik, S., Harjoko, A. and Wardoyo, R., 2006. Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Graha Ilmu Yogyakarta.

Laudon, K.C. and Laudon, J.P., 2007. Sistem informasi manajemen. Edisi ke-10. Terjemahan Chriswan Sungkono dan Machmudin Eka P. Jakarta: Salemba Empat.

Notoatmodjo, 2010. Teknik pengambilan sampel purposive sampling dalam menentukan pengambilan sampel. Jakarta: Rineka Cipta

Roger S. Pressman, P. D. 2012. Rekayasa Perangkat Lunak (Pendekatan Praktisi) Edisi ke-7: Buku 1. Yogyakarta

GrahaIlmu, Laudon Yogyakarta, K, & J.P. Laudon. 2008: Sistem Pendukung Keputusan, edisi ke-11. Jersey Baru: Prentice Hall.

Rian, 2017, Merancang Sistem Pendukung Keputusan Penentuan Tempat Makan Berbasis Android Menggunakan Metode WP' Diakses Universitas Kristen Satya Wacana.

Triayudi, A., Sumiati, S., Nurhadiyan, T. and Rosalina, V., 2020. Data Mining Implementation to Predict Sales Using Time Series Method. Proceeding of the Electrical Engineering Computer Science and Informatics, 7(2), pp.1-6.

Nugroho, J., Linawati, L. and Mahatma, T., 2019. Analysis of Lecturers Competency Performance Evaluation using Fuzzy Modeling. International Journal of Active Learning, 4(2), pp.99-113.

Sahir, S.H., Rosmawati, R. and Rahim, R., 2018. Fuzzy model tahani as a decision support system for selection computer tablet. Int. J. Eng. Technol, 7(2.9), pp.61-65.

Fishburn, PC 1967. A Problem Based Selection of Multi-Attribute Decision Making Methods. New Jersey: Blackwell Publishing.

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