Implementation Of The Waterfall Model In Online Laundry Service Ordering Information Systems
Abstract
Laundry Service is a laundry business that is engaged in services, laundry also offers a variety of services such as dry cleaning only, and ironing or ironing clothes only. The process of managing data for laundry facilities can be seen from the results of the analysis carried out. It still cannot be maximized and has several obstacles, including the accumulation of archives, reports, slow flow of information, slow processing and summary of data retrieval in transaction reports. To overcome this problem, a design and development of data management applications and laundry services was made. Applications made with the Waterfall system developer model include the steps of analysis, design, implementation, and system testing. The design is done using Unified Modeling Language (UML) data modeling which consists of Activity diagrams, Use Case Diagrams, Sequence Diagrams and Class Diagrams.
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References
[2] R. S. Hidayat, A. Winarno, and M. Kom, “Perancangan Sistem Informasi Pelayanan Jasa Laundry Pada Hello Laundry,” Univ. Dian Nuswantoro, Semarang, 2014.
[3] R. S. Pressman, Software engineering: a practitioner’s approach. Palgrave macmillan, 2005.
[4] M. A. Setiawan, “Implementasi Sistem Manajemen Dalam Pengolahan Data Laundry Berbasis Web (Studi Kasus Lira Laundry).” Universitas Muhammadiyah Sidoarjo, 2018.
[5] A. Hendini, “Pemodelan UML sistem informasi monitoring penjualan dan stok barang (studi kasus: distro zhezha pontianak),” J. Khatulistiwa Inform., vol. 4, no. 2, 2016.
[6] David W. Embley, Bernhard Thalheim (Eds.), 2011, Conceptual Modeling Handles. ISBN 978-3-642-15864-3.
[7] Yasin, Verdi 2012, Rekayasa Perangkat Lunak Berorientasi Objek, Mitra Wana Media, Jakarta – Indonesia
[8] Abraham Silberschatz and Henry F. Korth and S. Sudarshan, 2011, Database System Concepts, sixth edition, McGraw-Hill Companies, Inc., ISBN 978-0-07-352332-3
[9] David L. Olson and Dursun Delen, 2008, Advanced Data Mining Techniques, Springer-Verlag Berlin Heidelberg, ISBN: 978-3-540-76916-3 e-ISBN: 978-3-540-76917-0
[10] David L. Olsen, 2007, Big Data, http://www.gartner.com/it-glossary/big-data (access 10 June 2018)
[11] Djoni Setiawan K., and Hendra Bunyamin, 2018, Utilization of inverted index in the process of tracing the contents of pdf document documents of students' final assignments, National Seminar on Information and Communication Technology 2018 (SENTIKA 2018) ISSN: 2089-9815, Yogyakarta, March 23 2018 page 356 -365

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