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All Journal Jupiter Kompak : Jurnal Ilmiah Komputerisasi Akuntansi Pixel : Jurnal Ilmiah Komputer Grafis Among Makarti Jurnal Sains Dan Teknologi (SAINTEKBU) JSiI (Jurnal Sistem Informasi) Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknologi Informasi dan Komunikasi Teknik: Jurnal Ilmu Teknik dan Informatika INFORMATIKA Journal of Computer Science and Technology (JCS-TECH) Jurnal Manajemen Informatika & Teknologi Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Jurnal Publikasi Manajemen Informatika (JUPUMI) Community: Jurnal Pengabdian Pada Masyarakat Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Ilmiah Sistem Informasi
Teguh Setiadi
Universitas Sains Dan Teknlogi Komputer
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences

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Journal : Jurnal Publikasi Manajemen Informatika (JUPUMI)

 1 
SISTEM INFORMASIPENDUKUNG KEPUTUSAN PEMILIHAN PELANGGAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA MINIMARKET UTAMA KENDAL Teguh Setiadi; Hendri Rasminto; Siti Ulfatur Rohmah
Jurnal Publikasi Manajemen Informatika Vol 1 No 2 (2022): MEI : JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2196.506 KB) | DOI: 10.55606/jupumi.v1i2.372

Abstract

The Kendal Main Minimarket, which is located at Sendang Kulon Village, RT 02/02, Kangkung District, Kendal Regency, is an alternative place to shop and look for daily needs. The obstacle faced by the company is the selection of active customers who are given an annual bonus at random, therefore there are still many customers who complain because they feel they often shop but do not get the annual bonus. Based on this research, the authors designed and made the application of the best customer selection decision support system using the Simple Additive Weighting method with the aim of making recording and selecting customers easier and more effective. This application uses notepad++ software as a text editor and MySQL database.
Co-Authors Abdul Syukur Alfi Hasan Prasetyo Ayyub Hamdanu Budi Nurmana MS Benny Setyo Hartomo Edy Siswanto Febriyanti Darnis Hendri Rasminto Hendri Rasminto Heri Mahfudin Laksaman Haidar Laksamana Rajendra Laksamana Rajendra Haidar Laksamana Rajendra Haidar Laksamana Rajendra Haidar Azani Fajri Laksamana Rajendra Haidar Azani Fajri Laksamana Rajendra Haidar Azani Fajri Laksamana Rajendra Haidar Azani Fajri Laksmana Rajendra Haidar Moh. Muthohir Muhamad Arif Darmawan Muhamad Fadlan Navira Mayda Filosova Nopiah Widaningsih Nur Hidayah Puji Hermawan Septu Rismayani Sigit Wijayanto Siswanto, Edy Siti Ulfatur Rohmah Susanti Dwi Ilhami Tegar Adi Putra Wiwid Wahyudi