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All Journal Jiko (Jurnal Informatika dan komputer) INFOKUM Journal of Technology and Informatics (JoTI) Jurnal Pendidikan dan Pembelajaran Jurnal Sains dan Teknologi JURNAL MUARA PENDIDIKAN JURNAL TUNAS PENDIDIKAN Jurnal Manajemen Riset Inovasi Jurnal Pendidikan Sosial dan Konseling Kohesi: Jurnal Sains dan Teknologi JURNAL ILMIAH PENELITIAN MAHASISWA Blockchain Frontier Technology (BFRONT) Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Cendekia Ilmiah Edumaspul: Jurnal Pendidikan
Palma Juanta
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DATA MINING SYSTEM IMPLEMENTATION BY GROUPING SALES AT PT. GANDATAMA CROWN manullang, sehat saorasi; Palma Juanta
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.324 KB)

Abstract

This research discusses how to classify the data from period to period by implementing the Apriori method. The data used in this research is sales in 2021-2022. Researchers have carried out stem analysis using the a priori data method used in February 2021. This system can classify sales according to the type of goods that consumers are more interested in. So the types of sales items that are included in the best-selling sales pattern are, 40%, 60%, 70%.
Analysis of Satisfaction the fast Food Restaurants using the C.45 Method in Medan Fahri Chairullah; Muhardi saputra; Nahla Naisylla Lubis; Dedi Andika Sihombing; Palma Juanta
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.534 KB)

Abstract

Analysis of customer satisfaction with fast food restaurants at one of the fast food restaurants, namely KFC in the city of Medan, is an interesting thing that the author wants to do. This restaurant has many branches. The city of Medan which consists of 21 sub-districts has at least 1 (one) KFC. With so many restaurants, there are various ratings expressed by the customer. Because there are slight differences between one another. when it comes to taste, there will be one voice for the consumers, but not on the price, facilities and services. However, there are also consumers who state that the taste is not good at one of the branches. Research data taken as many as 100 random consumers from different locations. The method used to analyze customer satisfaction is the c4.5 algorithm. The results obtained are the analysis of customer satisfaction which is the highest in taste at 64%. If it tastes good then the customer will feel very satisfied. If there is a bad taste, then the customer considers other things to make them feel satisfied with the fast food restaurant
Co-Authors Amorita Sarozato Zendrato Ananda Sry Aulia Rizky Andra Hendarto Apriani Sijabat Aulia Khanza Bryan Martin Saragih Jawak Cheria Laurence Dedi Andika Sihombing Devan Wijaya Eddy Tanadi Erick Simson Evita Cristy Warae Faeri Grace Damai Yanti Halawa Fahri Chairullah Ferdy Alfarizi Ferry, Ferry Festiyed Gabriella Halim Grace Kezia E Halawa Hanisa Laili Zahra Indah Permata Sari Br Sembirinng Iren Jayatry Br Brahmana Isabel Patricia Justin Rickie Kerimbekov Toktar Liza Aulia M Luthfi Abdu Rosyid manullang, sehat saorasi Marlince NK Nababan Meidi Sanjaya Mita Yustika Silitonga Muhamad Gus Amix Kusuma Muhammad Arifin Hidayat Muhardi Saputra Musa Agus Saputra Hutagalung Nahla Naisylla Lubis Nasyan Falah Azhari Nesti Anggraini Santoso Nurlaila Rahmadani Orville Lim Patricia Angelin Paula Agusto Jeremy Sihombing Pierre Abrian Naibaho Raihanul Azmi Renaldy Angkasa Ricky Ricky Rizky Duentha Sitepu Ryo Wijaya Sabda Maulana Sartika Jane Caroline Syakirah Ramadhina Theo Parta Valerie Alexia Veronika Andriani Br Manalu Windania Purba Yerimadesi Yohana Simbolon Yohandri