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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Manajemen Teori dan Terapan JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) CARADDE: Jurnal Pengabdian Kepada Masyarakat AkMen JURNAL ILMIAH EDUKATIF : JURNAL ILMU PENDIDIKAN Celebes Computer Science Journal Al-Khidmat : Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Sains Manajemen dan Bisnis Indonesia Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Journal of Applied Science, Engineering, Technology, and Education LOSARI: Jurnal Pengabdian Kepada Masyarakat Jurnal Visi Pengabdian Kepada Masyarakat Jurnal Ilmiah Bongaya (JIB)
Astuti, Niken Probondani
STIEM Bongaya Makassar
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Journal : Jurnal Manajemen Teori dan Terapan

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Sistem Informasi Strategi Pemasaran Produk dengan Metode Market Basket Analysis dan Sales Forecasting: Swalayan Kota Makassar Rizal Bakri; Ardiansyah Halim; Niken Probondani Astuti
Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management Vol. 11 No. 2 (2018)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1156.319 KB) | DOI: 10.20473/jmtt.v11i2.9769

Abstract

One of the large real time data storage sectors is in the marketing sector in the form of sales transactions, prices, and availability of goods stored in databases in certain supermarkets.The amount of supermarkets with the digital cash register system allow storing sales transaction data. Therefore this research aims to designed an application that contains two statistical analysis methods, namely Market Basket Analysis and Sales Forecasting using shiny dashboard package in Market Basket Analysis Menu shows various features that can facilitate businessactors in optimizing product layout in a store shelves i.e. summary products, rules table, scatter plot, graph, matrix and grouphed, and Parallel coordinats. While the sales forecasting menu shows various features i.e. a description of the number of stock items, the number of items sold, capital, profit, the highest frequency of goods sold, and the value of parameter predictions for the next periods.
Co-Authors Ahmar, Ansari Saleh Amin, Asbi Anggraeni, Iluh Riang Ardiansyah Halim Asbi Amin Basir, Asri Rahmat Data, Umar Djaharuddin, Dharmawaty Hadji, Alimuddin Hartoto Hartoto Hasbiyadi, Hasbiyadi Hasyim Mochtar Heslina, Heslina Iluh Riang Anggraeni Muhammad Ilham Bakhtiar Nabila Putri Fiamanila Razak, Nurlaely Riswan Riswan Rizal Bakri Rusdi, Pertiwi Sandi, Esti Singh, Pawan Kumar Sjahruddin, Herman Sobirov, Bobur Subandi, Tiara Suprianto, Satria SYAMSU ALAM Tafsir, Muhammad Wiyana, Anim Yusuf, Marwah