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All Journal Jurnal Simantec JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL EDUCATION AND DEVELOPMENT IJISTECH (International Journal Of Information System & Technology) JUTEKIN (Jurnal Manajemen Informatika) METIK JURNAL Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] IJISTECH Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) JAMINFOKOM Multica Science and Technology Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Jurnal Manajemen Informatika & Teknologi JUPADAI : Jurnal Pengabdian Kepada Masyarakat LOFIAN: Jurnal Teknologi Informasi dan Komunikasi
Nariza Wanti Wulan Sari
Universitas Mulia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Journal : Multica Science and Technology

 1 
MARKET BASKET ANALYSIS METHOD ON SALES DATA USING FP-GROWTH ALGORITHM Kenny Marcelino Irawan; Tina Tri Wulansari; Nariza Wanti Wulan Sari
Multica Science and Technology Vol 1 No 2 (2021): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v1i2.239

Abstract

Product promotion is a way for business owners to increase sales of existing goods. Business owners could use association rules as a consideration of product promotion policies. Determination of association rules can be determined using the market basket analysis method with the fp-growth algorithm. From the research, there are 248 association rules for goods that are often purchased simultaneously with minimum support of 0.01 and minimum confidence of 0.1. Of the 248 rules, there are seven rules that have a confidence value of more than 0.5. Of the seven rules, flour appeared five times, and the cake mat and cake box had the highest confidence value of 0.62 and a lift of 5.54. Therefore, we recommend shop owners to place wheat flour on the main display close to items often purchased together, such as sweetened condensed milk, sugar, powdered margarine, and margarine. In addition, shop owners can also promote bundling cake boxes and cake mats.
APPLICATION OF WEB-BASED APRIORI ALGORITHM FOR DRUG INVENTORY AT KHAIRI FARMA PHARMACY Muhamad Nur Zidan ZIDAN; Rika Ismayanti; Nariza Wanti Wulan Sari
Multica Science and Technology Vol 2 No 2 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i2.365

Abstract

Inventory has a very important role in increasing sales and service to consumers. The purpose of this study was to determine the information and sales patterns in the form of association rules at a certain period that can provide advice to the pharmacy in managing drug inventory. The algorithm used in this study is a priori to determine the results of sales patterns in the form of association rules. Association rules are obtained by implementing an apriori data mining algorithm to a website-based system using laravel and the resulting calculation results are in the form of Drug Association rules purchased simultaneously. With a minimum support value of 2, there are 214 items in 1 – the itemset that passes the minimum support and 9 association rules formed from all transactions of 519 data with a confidence value of more than 30%. From the resulting Association rules, there are Association rules with the highest confidence value of 66.67% in the form of ketotifen and cupanol pairs purchased simultaneously.
Co-Authors Abdul Rahim Abdurahman Achmad Asdori Agung Ranggono Aisyiyah Maulisa Nuur Anam, M Khairul Arief Hidayat Dedy Mirwansyah Dedy Mirwansyah Dody Novandi Dody Prasetia Purnama Eva Yumami Fahrullah Fahrullah Fahrullah, Fahrullah Faldi Fanny Pratiwi Fardiansyah Ibrahim Faza Alameka Gubtha Mahendra Putra Hairah, Ummul Heri Yansah Ika Purnamasari Indah Ayu Maharani Indra Dwi Pangestu Ivan Leonard Tandi Kenny Marcelino Irawan Maulidin Akbari Muhammad Muhamad Nur Zidan ZIDAN Muhammad Adryan Pratama Muhammad Bambang Firdaus Muhammad Ferdiansyah Muhammad Rayda Bazhrullah Muhammad Wisdan Pratama Putra Muhammad Yani Muhyiddin Muhyiddin Natanael Dewanto Dewanto Putriani Putriani Rika Ismayanti Riyayatsyah Riyayatsyah Riyayatsyah Rizal Putra Aditya Sigit Pangestu Sry Tualeka Sulfikar Rakita Dewa Tejawati, Andi Thami Rusdi Agus Tina Tri Wulansari Wahyu Yanuartha Wiji Prima Fitriyanto