Yu, Joevindo (2024) Perancangan sistem pendukung keputusan dalam menentukan pemilihan pelanggan terbaik pada Cv Mandiri Express Mart dengan metode saw. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
CV Mandiri Express Mart merupakan badan usaha yang bergerak di bidang
penjualan kebutuhan sehari-hari dan ingin meningkatkan kepuasan pelanggan
dengan memberikan voucher diskon kepada pelanggan terbaik sebagai strategi
loyalitas. Proses pemilihan pelanggan terbaik saat ini dilakukan secara manual,
yang kurang efisien dan rentan terhadap ketidakakuratan akibat perhitungan secara
manual. Penelitian ini bertujuan untuk merancang sistem pendukung keputusan
(SPK) menggunakan metode simple additive weighting (SAW) untuk membantu
CV Mandiri Express Mart dalam mengidentifikasi pelanggan terbaik secara akurat
dan efisien, sehingga dapat menghemat waktu dan mengurangi kesalahan manusia.
Metode SAW dipilih karena kemampuannya dalam mengevaluasi alternatif
berdasarkan kriteria tertentu, menjadikannya cocok untuk sistem pengambilan
keputusan dengan banyak atribut. Kriteria yang dipertimbangkan meliputi jumlah
undangan member terbanyak, jumlah total pembelian, jumlah transaksi, dan poin
member. SPK ini diimplementasikan dalam sistem penjualan berbasis web yang
tidak hanya memudahkan proses seleksi pelanggan terbaik, tetapi juga
menghasilkan laporan penjualan yang efektif dan efisien. Melalui sistem ini, CV
Mandiri Express Mart mendapatkan hasil yang sesuai dengan hasil pengujian. / CV Mandiri Express Mart is a business entity engaged in the sale of daily
necessities and wants to increase customer satisfaction by providing discount
vouchers to the best customers as a loyalty strategy. The process of selecting the
best customers is currently done manually, which is less efficient and prone to
inaccuracy due to manual calculations. This study aims to design a decision support
system (DSS) using the simple additive weighting (SAW) method to help CV Mandiri
Express Mart in identifying best customers accurately and efficiently, so it can save
time and reduce human error. The SAW method was chosen because of its ability to
evaluate alternatives based on certain criteria, making it suitable for decisionmaking systems with many attributes. The criteria considered include the largest
number of member invitations, total number of purchases, number of transactions,
and member points. This DSS is implemented in a web-based sales system that not
only facilitates the process of selecting the best customers, but also produces
effective and efficient sales reports. Through this system, CV Mandiri Express Mart
obtained results consistent with the testing outcomes.
Item Type: | Thesis (Bachelor) |
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Creators: | Creators NIM Email ORCID Yu, Joevindo NIM03082210002 joevindoyu2303@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Chandra, Wenripin NIDN0116088001 wenripin@lecturer.uph.edu |
Uncontrolled Keywords: | Sistem pendukung keputusan ; simple additive weighting (SAW) ; loyalitas pelanggan |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Depositing User: | Joevindo Yu |
Date Deposited: | 25 Feb 2025 03:37 |
Last Modified: | 25 Feb 2025 03:37 |
URI: | http://repository.uph.edu/id/eprint/67239 |