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Sistem Pendukung Keputusan dengan Aplikasi
Article . 2023 . Peer-reviewed
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Sistem Pendukung Keputusan Menentukan Strategi Pemasaran Produk Menggunakan Metode MABAC

Authors: Adi Widarma; Naila Umniati; Nurkosrina Aisah;

Sistem Pendukung Keputusan Menentukan Strategi Pemasaran Produk Menggunakan Metode MABAC

Abstract

Tujuan dari penelitian ini adalah untuk membantu meningkatkan penjualan produk dengan mengetahui jenis strategi pemasaran yang paling tepat. Proses yang dilakukan dalam penelitian ini adalah pengumpulan data meliputi wawancara dengan salah satu pekerja Alfamidi Tuntungan. Kemudian data tersebut dimasukkan ke dalam sistem untuk dihitung menggunakan metode MABAC. Metode MABAC untuk membandingkan pendekatan batas multi-atribut merupakan metode pendukung keputusan dengan jenis keputusan pilihan ganda. Metode ini dipilih karena menjamin stabilitas, konsistensi solusi, dan keandalan untuk mengambil keputusan yang tepat. Kemudian data tersebut disimpan dalam database untuk pengambilan keputusan. Hasil penelitian menunjukkan proses membangun strategi pemasaran melalui perhitungan dan usulan dua strategi pemasaran yang efektif. Lebih tepatnya, Account Based Marketing (ABM) dan Influencer memiliki nilai yang sama, yaitu 1,6788. Strategi ketiga adalah pemanfaatan jejaring sosial dengan nilai 1,6413. Sementara itu, dua strategi yang dianggap paling tidak efektif adalah remarketing dengan nilai 1,1976 dan pembakaran uang dengan nilai 1,2289

Keywords

Strategi Pemasaran, Produk, Information technology, T58.5-58.64, MABAC

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold