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All Journal JOIV : International Journal on Informatics Visualization Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Sains dan Informatika Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) IJIES (International Journal of Innovation in Enterprise System) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer IT (INFORMATIC TECHNIQUE) JOURNAL Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) INFOSYS (INFORMATION SYSTEM) JOURNAL Prosiding Konferensi Nasional PKM-CSR Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Journal of Internet and Software Engineering Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) JURNAL HANDAYANI PGSD FIP UNIMED Jurnal Sistem Informasi
Muhardi Saputra
Universitas Telkom
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Other

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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
CREDIT CONGESTION ANALYSIS AT PT. SINARGA GALANG USING THE C4.5. ALGORITHM METHOD Muhardi Saputra; Jenifer, Jenifer; Denisyah Sitorus; Situmorang, Devi Br
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 (456.549 KB)

Abstract

Credit congestion is a serious problem that is often faced by companies engaged in credit services. PT. Sinarga Galang is a company engaged in selling cars with cash or credit payment systems. The author takes data on the company's credit system in the bad category. Because the company can't analyze the credit jams that occur so it doesn't produce the right decisions in terms of filtering consumers who want to do credit. The number of bad loans, the company will go bankrupt but do not use the credit system, it will reduce sales as well and eventually can go bankrupt as well. For this reason, proper analysis is needed in classifying corporate credit bottlenecks. The method that the author uses is the C4.5 algorithm. This method is often used in research in the case of data classification because the results are precise. The results obtained in the study are a decision tree in the form of (1) if the dependents are: stuck (2) the dependents are few: stuck (3) the dependents are large: the salary is high: smooth (4) the dependents are the: moderate salary: stuck (5) the dependents are many : meager salary : smooth. These results are seen from the influence of the criteria that occur in the data, namely the number of dependents, salary / business income, monthly tenor or home ownership status. The data processing used is 100 data
Co-Authors Agisti Dea Savana Agung Setiaman Hulu Alfarrasi, Muhammad Daffa Anderson, Wily Andrian Syahputra Anggi Priatna Anita Anita Ari Yanuar Ridwan Arifudin, Nanang Ayudya, Irish Illenia Martha Berlian Maulidya Izzati Berlianto Parlinggoman Saragih Chaeruddin, Andi Muhammad Fachri Ciam, Handy Wiryanata Christ Boy Damayanti Lumban Gaol Dedi Andika Sihombing Denisyah Sitorus Dennis Nigel Cunong Devi Novitasari, Devi Devi Pratami Dhea Khairani Zahra Dhuhadmya Anggiya Kirana Dhuhadmya Anggiya Kirana Ekky Novriza Alam Erni Weldus Sihombing Evta Indra Fadilah, Rizky Fadlila, Rafa Fadlila Fahri Chairullah Firdaus, Taufiq Maulana Galih Agung Prayogo Ginting, Lindawati Hardiyanti, Margareta Heri Gunawan Ika Arum Puspita Indra, Evta Jacky Lius Jannatul Rahmadiani Jasmine Aurely Salshabillah Jenifer, Jenifer Jhonly Marihot Hasudungan Sinambela Joelio, Gideon Johannes Putra Sidabuke Jones, Jones Juanta, Palma Juanta, Palma Khairunnisa, Nadia Lumbantobing, Gilbert Jonatan M. Hafiz Marlince NK Nababan Matullessya, Steven Michael Mawarni Munte Meizar, Abdul Monika, Cindy Muhamad Ilham Fauzi Muhammad Fauzan Muhammad Syahputra Novelan Nahla Naisylla Lubis Nesya Irianis Nesya Irianis Noprita Elisabeth Sianturi Nugrah, Lucky Ongario, Andre Palma Juanta Palma Juanta Pooja, Netiya Praditya Agung Laksmana Pratama, Devi R. Wahjoe Witjaksono Rahmat Fauzi Reslina Br Tamba Rifqi Ramadhan Tussardi Risma Nur Damayanti Roberto Viali Hutabarat Ryan Pangeranta Sinulingga Sanny Putra Hendarsyah Sanny Putra Hendarsyah Septian Hidayat Shevchenko, Vigho Sinaga, Indah Putri Lestari Sinaga, Wendy Siti Aisyah Siti Aisyah Sitorus, Jesica Elisabeth Situmorang, Devi Br Situmorang, Indah Permata Sari Sri Wahyuni Tarigan Sumita Wardani Taufiq Maulana Firdaus Thaha, Taufik Kemal Tien Fabrianti Kusumasari Umar Yunan Kurnia Septo Hediyanto Warih Puspitasari Wirhan Fahrozi, Wirhan Wydia Tiara Lumban Gaol Yunika Putri Limbong Zahra Maida Fathi