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Retno Tri Vulandari
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Journal : Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat

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Prediksi Penjualan Produk Promo PT. Unilever, Tbk Menggunakan Metode Fuzzy Time Series Yehoshua Yehoshua; Kustanto Kustanto; Retno Tri Vulandari
Jurnal Informa : Jurnal Penelitian dan Pengabdian Masyarakat Vol 6 No 2 (2020): Desember
Publisher : Politeknik Indonusa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46808/informa.v6i2.184

Abstract

PT. Unilever is a multinational company headquartered in Rotterdam, the Netherlands (under the name Unilever N.V.), London, England (under the name Unilever pic.) And in Indonesia has a subsidiary, PT. Unilever, Tbk was established on December 5, 1933. Unilever produces food, drinks, cleaners, and also body care. Unilever is the third largest producer of household goods in the world, if based on the amount of revenue in 2012, behind P & G and Nestle. In forecasting products, it is often influenced by the sale of these products because there are also changes in sales for each period. Usually there is an increase in sales of these products which, among other things, is caused by price discounts, new products, one free one to buy promo, or a saving package from Unilever or from a rival company. Data collection method used by the author is a method of observation or directly observing the process of transmission, interview methods and literature study methods. While the method for processing data uses fuzzy time series algorithms, context diagrams, data flow diagrams, HIPO, relational diagram entities, data dictionary design, input design, output design, relation diagrams between tables, system implementation and testing. The method for implementation uses vb.net and Mysql. The results of this thesis are a system for calculating the forecasting amount of sales or sales of promo products for the following year. From this system, information on store data, item data, sales year history data, and forecasting data from fuzzy time series data will be displayed.. From rinso goods promotion data which have been calculated using fuzzy time series method which get MAPE value equal to 3,2%, so sales data for category of goods will experience increase based on calculation equal to 3,2%.
Co-Authors Afan Lathofy Ahmad Samawi Al Fiyan Nizaela F Andriani Kusumaningrum Bayu Tristanto Bebas Widada Bebas Widada Bebas Widada Bebas Widada Bentar Putra Pamungkas Danar Wijaya Aditama Dhian Dwi Hermawan Dhian Dwi Hermawan Didik Nugroho Dorestin, Nacita Agnes Dwi Handoko Dwi Handoko Dwi Rema wati Dwi Remawati Dwi Tri Laksono Eny Nur Aisyah Erinsyah Aditya Nugroho Putro Fadel Thoriq Nur Muhammad Febrianto, R Arie Febriyanti, Renita Hakam Febtadianrano Putro Hendro Wijayanto Hendro Wijayanto Heri Setyawan Hermawan, Dhian Dwi I Made Seken Kumaratih Sandradewi Kustanto Kustanto Kusumaningrum, Andriani Kusumawijaya, Andriani Kusumaningrum Lathofy, Afan Lestari, Zannuba Anugrah Indah Mita Purwati MUHAMMAD HASBI Muhammad Hasbi Muhammad Yusuf Mujirahayu Meyliana, Nirma Nacita Agnes Dorestin Nacita Agnes Dorestin Nugraheni, Ria Pertiwi Nugroho, Zulkifly Setyo Nur Fitrina Parwitasari, Tika Andarasni paulus harsadi Pravitasari, Suryanti Galuh Putri Pertiwi, Ina Ragil Prasojo Raharja, Bayu Dwi Remawati, Dwi Restu Utami, Widya Restyanto, Dika Ria Pertiwi Nugraheni Rimawati, Elistya Sakti, Dicky Cahyono Sandradewi, Kumaratih Saptomo, Wawan Laksito Yuly Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Sri Hariyati Fitriasih Sri Harjanto Sri Harjanto Sri Harjanto Sri Siswanti Sumanto Suryadi Suryadi Sutrima Sutrima Teguh Susyanto Teguh Susyanto Tika Andarasni Parwitasari Tri Irawati, Tri Tristanto, Bayu Usep Kustiawan W, Yustina Retno Waskitho, Anggit Widhi wati, Dwi Rema Wawan Laksito YS Wawan Laksito Yuly Saptomo Widada, Bebas Wijayanto, Hendro Wuri Astuti Yehoshua Yehoshua Yustina Retno W Yustina Retno Wahyu Utami