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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Tekinkom (Teknik Informasi dan Komputer)
Subagja Putra Pratama
Universitas Nusa Mandiri
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Notifikasi Tagihan Pembayaran Berbasis Whatsapp Gateway Untuk Pelanggan Aplikasi Katib ID Menggunakan Metode Mesin Turing Andita Permata Rahmawati; Subagja Putra Pratama; Hafifah Bella Novitasari; Eni Heni Hermaliani; Windu Gata
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 8, No 2 (2021): TEKNOVASI JUNI 2021
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v8i2.573

Abstract

KATIB.id is a business recording tools and management system application that is intended to make it easier for business people to manage and develop their business. Every month, users are required to pay a bill for the use of the application system. However, users often forget to pay if they are not reminded by the developer. There needs to be a notification containing the billing bill that is sent to regular users at the end of every month. The bill notification is currently still being delivered manually via private WhatsApp messages one by one so that this can make it possible for messages not to be spread optimally when the number of application users has been counted. The billing message should be able to spread automatically to each user without any worries caused by the limitations of the developer team. In overcoming these problems, a study was conducted on the WhatsApp Gateway which will be integrated with the automation system in the process. Where in this study the distribution of billing information can be sent through the WA Business application with a broadcast system to each user based on the telephone number recorded in the application. Through WhatsApp Business in delivery because the chat application is closer to customers and can view messages directly and at any time compared to the intensity of users in opening messages via Email. Therefore we need a method, one of which is the Turing Machine Model combined with REST API Technology.
ANALISA DATA MINING ASSOSIASI FP-GROWTH PADA PENJUALAN PRODUK DI TOKO RITEL AGUNG Subagja Putra Pratama
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.744

Abstract

Quick decision-making based on data, facts, and knowledge has become a necessity for companies in implementing strategies to increase competitiveness. To create a fast strategy with measurable analysis, one can use sales data mining techniques from time to time. The research was carried out using the fp-growth association data mining method and the RapidMiner application as a mining tool for processing sales data for a one-year period (June 2021 - May 2022) with a total of 13734 sales transactions and a total of 49360 records. Data mining in this study resulted in 6 rules association with a minimum support value of 0.001 and a minimum confidence value of 0.01 and produced the 42 lowest association rules with a minimum support value of 0.001 and a minimum confidence value of 0.5. The discovery of the association rules can be used as a consideration in making product sales strategy decisions quickly and accurately so that companies can increase sales and competitiveness.
Co-Authors Andita Permata Rahmawati Eni Heni Hermaliani Hafifah Bella Novitasari Windu Gata