PENGEMBANGAN APLIKASI POINT OF SALES MENGGUNAKAN METODE AGILE DENGAN POLA SCRUM
Abstract
Banyak pelaku usaha yang masih menjalankan proses bisnisnya dengan cara manual yang mana memiliki banyak keterbatasan dalam pengerjaannya. Dimana proses transaksi serta perhitungan keuangan dan laba-ruginya masih harus dilakukan secara manual yang membutuhkan waktu yang panjang. Hal ini pun belum terlepas dari factor human error yang dimiliki setiap orang. Dengan adanya hal-hal tersebut maka sudah sepantasnya jika pelaku usaha mencari solusi atas masalahnya itu. Salah satu solusi yang dapat dilakukan adalah dengan merancang aplikasi Point Of Sales. Dimana Point Of Sales adalah sebuah aplikasi yang digunakan untuk mengelola sebuah transaksi agar proses transaksi bisa berjalan dengan cepat, mudah dan akurat. Dengan aplikasi ini, pemilik usaha bisa dengan mudah melihat dan juga memonitoring transaksi yang terjadi pada usahanya sehingga akan sangat membantu dalam pengambilan kebijakan dari sebuah perusahaan. Dengan menambahkan penggunaan motode Agile dan pola Scrum pada Point Of Sales akan membuat aplikasi menjadi lebih baik lagi dalam performanya.
References
Andipradana, A. ,. (2021). Rancang Bangun Aplikasi Penjualan Online Berbasis Web Menggunakan Metode. Jurnal Algoritma.
Aryanata Andipradana, K. D. (2021). Rancang Bangun Aplikasi Penjualan Online Berbasis Web Menggunakan Metode. Jurnal Algoritma.
D. Fernando, A. a. (2018). RANCANG BANGUN APLIKASI E-PORTOFOLIO HASIL KARYA. Jurnal Sistem Informasi.
Fridayanthie, E. W. (2016). RANCANG BANGUN SISTEM INFORMASI PERMINTAAN ATK BERBASIS INTRANET (STUDI KASUS: KEJAKSAAN NEGERI RANGKASBITUNG). JURNAL KHATULISTIWA INFORMATIKA, IV.
Hardani, S. (2019). Pengembangan Sistem Informasi KPR Syariah Dengan Metode Scrum. J. Imu Pengetah.
Jogiyanto, H. (2008). Analisis dan Desain Sistem Informasi Pendekatan Terstruktr teori dan praktek Aplikasi.
Nurcholish, A. (2018). Membangun Database Arsip Persuratan Menggunakan Pemrograman PHP dan MySQL. Jawa Barat: CV jejak.
Pressman, R. (2010). Software Engineering : a practitioner’s approach. New York: McGraw - Hill.
Rabbani, I. ,. (2020). E – COMMERCE PERLENGKAPAN HAJI DAN UMROH BERBASIS WEB MENGGUNAKAN METODE AGILE SOFTWARE DEVELOPMENT. Senamika.
Rubin, K. S. (2013 ). Essential Scrum. Pearson Education Inc.
Sani, I. K. (2019). Pemodelan SCRUM dalam Pengembangan Sistem Informasi Kesehatan. JOINS.
Simarmata, J. (2010). Perancangan Basis. Yogyakarta: CV. Andi Ofsset.
Sommerville, I. (2011). Software Engineering (Rekayasa Perangkat Lunak). Jakarta: Erlangga.
Sutherland, K. S. (2020 ). Scrum-opas. Marraskuu .
Yuarita, T. G. (2017). PERANCANGAN APLIKASI POINT OF SALES (POS) BERBASIS WEB MENGGUNAKAN METODE SIKLUS HIDUP PENGEMBANGAN SISTEM
Copyright (c) 2023 JIKA (Jurnal Informatika)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Advances in Intelligent Informatics agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.Â
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
International Journal of Advances in Intelligent Informatics use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
Creative Commons CC-Zero Waiver, http://creativecommons.org/publicdomain/zero/1.0/
Open Data Commons Public Domain Dedication and Licence, http://www.opendatacommons.org/licenses/pddl/1-0/
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.