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All Journal Jurnal Pembelajaran Berpikir Matematika Sinkron : Jurnal dan Penelitian Teknik Informatika JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) JURNAL PENDIDIKAN TAMBUSAI Jurnal EK dan BI Lumbung Farmasi : Jurnal Ilmu Kefarmasian Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Kewarganegaraan International Journal of Engineering, Science and Information Technology Jurnal Minfo Polgan (JMP) Innovative: Journal Of Social Science Research Portal Riset dan Inovasi Sistem Perangkat Lunak International Journal of Elementary School JMAEKA: Jurnal Manajemen Ekonomi Akuntansi
Murniyati, Murniyati
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Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Journal : Sinkron : Jurnal dan Penelitian Teknik Informatika

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PENERAPAN DATA MINING PENJUALAN PIZZA DENGAN MENGGUNAKAN METODE APRIORI Rusdiansyah, Rusdiansyah; suharyanti, Nining; Triningsih, Triningsih; Murniyati, Murniyati
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.108 KB) | DOI: 10.33395/sinkron.v4i2.10500

Abstract

Pizza is a processed food originating from Italy and has been spread in various other countries including one of them in Indonesia. Pizza is a processed food that is currently sought after by various groups of people so as to make the pizza business opportunity very profitable, if it is run in a food business. Currently the pizza business has very favorable prospects when compared to other businesses. Moreover, the targeted target can be from all walks of life from children to adults. Pizza sales transactions that produce sales data every day, have not been able to maximize the use of sales data. Sales data is only stored as an archive, so it becomes a pile of data. Therefore the use of data mining is used to solve this problem. A priori algorithm is a data mining method by using minimum support parameters, minimum confidence and will analyze in the period of every month of sales transactions. This study produces data on the results of the process of association rules from the data collection of sales transactions. From the association rules it can be concluded that the pattern of pizza sales, where consumers more often buy Meatzza and Cheese Mania, as evidenced by the results of calculations using Apriori Algorithm and Rapidminer 5.3, with support of 30% and 60% confidence.
Implementation of Apriori Algorithm Data Mining for Increase Sales Alfianzah, Reza; Handayani, Rani Irma; Murniyati, Murniyati
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10587

Abstract

Any company or organization that wants to survive needs to determine the right business strategy. The product sales data carried out by Lakoe Dessert Pondok Kacang will eventually result in a pile of data, so it is unfortunate if it is not re-analyzed. The products offered vary with a wide variety of products as many as 45 products, to find out the products with the most sales and the relationship between one product and another, one of the algorithms is needed in the data mining algorithm, namely the a priori algorithm to find out, and with the help of the Rapidminer 5 application, with a support value 2,4% and a confidence value 50%, products that customers often buy or are interested in can be found. This study used sales data for March 2020, which amounted to 209 transaction data. From the research, it was found that the item with the name Pudding Strawberry and Pudding Vanilla was the product most purchased by consumers. With knowledge of the most sold products and the patterns of purchasing goods by consumers, Lakoe Dessert Pondok Kacang can develop marketing strategies to market other products by analyzing the profits from selling the most sold products and anticipating running out or empty of stock or materials at a later date.
Co-Authors Agus Dwi Ananto, Agus Ajat Sudrajat Alfianzah, Reza Anggita Sari, Wiwin Busnawir Busnawir Chairiyah chairiyah, Chairiyah Darwati Darwati Diana Novita Dwi Septiani, Wisti Eka Putri Handayani Emy Haryatmi Fauzi, Alfharizky Indah Puspitorini Jaafar, Azhar Juliana, Rini Kurniawan, Gilang Messi, Messi Misu, La Musyarofah, Laily Pratiwi, Dwita Priniansyah, Nabilah Tirta Putri Handayani, Eka Radila, Gustina Rani Irma Handayani, Rani Irma Riyadi, Tri Agus Rosdiana Rosdiana Rusdiansyah Rusdiansyah Sri Haryani suharyanti, Nining Sukarnih Putri, Mulyana Supardi Supardi Suryaningsih, Rahmadani Triningsih Triningsih Windah Anugrah Subaidah Wirayudha, Agung Wisti Dwi Septiani Yuni Astuti