Herdiansyah, Aditya Tri
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Journal : Jurnal Informatika Universitas Pamulang

Perancangan Sistem Informasi Point of Sale Berbasis Website pada Toko Azam Grosir dengan Metode Waterfall Herdiansyah, Aditya Tri; Pratama, Arnold Agusti; Octavia, Indriyani; Baehaqi, Reza Anwar Sidiq; Saifudin, Aries; Desyani, Teti
Jurnal Informatika Universitas Pamulang Vol 6, No 2 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i2.11773

Abstract

The sales process at the Azam Wholesale Store is still done conventionally with manual recording. The manual recording system is less efficient because it requires a lot of books and orders that must be recorded into the books manually. This condition also causes errors in entering/recording sales data. Making reports takes a long time because they have to find and collect the necessary data from the notes in the book. In this study, we proposed to develop a POS (Point of Sale) application to solve existing problems so that store work activities can run smoothly. The method used in this POS system is the Waterfall method. The Waterfall method is a method used to develop software sequentially (such as a waterfall) that goes through several stages, namely planning, design, implementation, and testing. The application developed shows that the Point of Sale (POS) system can facilitate Toko Azam Grosir in recording, calculating, making documents and sales information to manage and recapitulate sales reports.
Penerapan Sistem Kecerdasan Buatan pada Otomatisasi Pendeteksian Plat Nomor Ganjil Genap Kendaraan Herdiansyah, Aditya Tri; Pratama, Arnold Agusti; Octavia, Indriyani; Baehaqi, Reza Anwar Sidiq; Saifudin, Aries; Yulianti, Yulianti
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.11680

Abstract

The odd-even rule is a rule for categorizing odd and even vehicle number plates based on date. This rule is useful for reducing congestion on the highway. However, in applying this rule, human error still often occurs, namely the lack of accuracy of officers in supervising the number plates of passing vehicles. The more technology develops, the more applications of artificial intelligence on a device. One of them is the technology of detecting vehicle number plates automatically using the OCR (Optical Character Recognition) method. Optical character recognition is a technology that is able to convert text in an image into text that can be read by a computer. The results of the study show that this artificial intelligence system can help officers improve the accuracy of monitoring vehicle number plates.