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All Journal Jupiter Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Sistemasi: Jurnal Sistem Informasi Journal of Information Systems and Informatics Pelita Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Nasional Ilmu Komputer KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Heri Suroyo
Universitas Bina Darma
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Physics Public Health Social Sciences

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Journal : Jupiter

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Pemrograman Sensor Coin Acceptor Pada Pengembangan Coffe Vending Machine Berbasis Internet Of Things (IoT) Nisa Rara; Heri Suroyo
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 1b (2023): Jupiter Edisi April 2023
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5438/15.jupiter.2023.04

Abstract

This research produces a prototype model of a coffee vending machine (CVM). The sensor used in the development of this machine is a multi-coin acceptor sensor. To drain the liquid from the tank to the coffee cup, a mini electric pump is used which is programmed through a relay connected to the digital pin of the Arduino microcontroller. In microcontroller programming, the Internet of Things (IoT) based multi coin acceptor sensor uses the C language which is uploaded to the Arduino Uno Microcontroller. This research uses R & D (Research and Development) methods. The development of IoT-based CVM used the Prototype method. The multi coin acceptor sensor is used to detect currency coins. This sensor has 3 speed levels in detecting coins, namely medium, slow and fast. In this study also obtained the results of testing the accuracy of the multi coin acceptor sensor as follows: 1) This sensor has an average 97.7% success rate for all types of coins tested. 2) The accuracy of the multi coin acceptor sensor is highest in the medium setting with a 99.2% success rate, while the slow and fast settings have an accuracy rate of 96.8% success. From testing in the program, it is also found that the speed of a mini electric pump to fill a 200 ml glass requires a delay time of 6000 ms.
Pengembangan Aplikasi Mobile Untuk Digital Payment Pada Internet of Thing Coffee Vending Machine Arfiandy; Heri Suroyo
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 1c (2023): Jupiter Edisi April 2023
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5734/15.jupiter.2023.04

Abstract

Research has produced a Coffee Vending Machine (CVM) by developing an Android-based digital payment mobile application for CVM payment transactions. The digital payment transaction feature that has been developed using the Internet of Things (IoT) where users can make payments with CVM using a mobile application that can scan QR codes, After the user scans the QR code the server will process the transaction whether the balance that the user has is sufficient or not, if the balance is sufficient, the server will send a command to the CVM to issue a copy, the user's balance uses the balance that has been designed using a MySQL database. This research will use C, PHP and Java programming languages. This study uses a research method, namely the Research & Development (R&D) method and the development method used is the Unified Process Method.
Co-Authors Ade Kemala Jaya Ahmad Syazili Alek Wijaya Apriadi Arfiandy Darius Antoni Deni Erlansyah Dwi Puji Rahmat Fauzan Azhiman Ferry Kurniawan Mario Hagi Merrieayu Puspita Hannah Nisa Rara Novita Anggraini Nurul Adha Oktarini Saputri Okta Fanny Oktaviana Karunia Ilahi Rahmat Novrianda D Rasmila Rolia Wahasusmiah Savana Salsabilla Taqrim Ibadi Usman Ependi Yukos Pratama Zaid Amin