Decision Support System in Determining The Route of Delivery of Goods With The Maut and WP Methods at The Kasiyah Shop

Nendy Akbar Rozaq Rais, Tino Feri Efendi, Moch Bagoes Pakarti

Abstract


The rapid development of information technology has encouraged many companies to switch to digital platforms, including in the retail and trade sectors. Decision Support System (DSS) is one solution that can be used to help the route selection process. An effective and efficient goods delivery process is essential to support the success of logistics operations. An effective and efficient shipping process is essential to support the success of logistics operations. However, this process is often complicated and time-consuming, especially when companies receive many orders from different locations.. To overcome this challenge, the use of a Decision Support System (DSS) can be the right solution. There are various methods that can be used in DSS to support the delivery route selection process, researchers conducted research using the MAUT (Multi-Attribute Utility Theory) and WP (Weighted Points) methods. The results of this study are expected to help improve the effectiveness and efficiency of the selection process, as well as ensure that the selected route has the necessary mileage to support the operational success of logistics companies.

Full Text:

PDF

References


Kusrini, (2007), Konsep dan Aplikasi Sistem Pendukung Keputusan, Yogyakarta: Andi.

Schaefer, 2012, Multi Attribute Utility Theory, diakses pada 04 desember 2017

Anwardi, Anwardi, Anggi Ramadona, Misra Hartati, Tengku Nurainun, and Ekie Gilang Permata. 2020. “Analisis PIECES Dan Pengaruh Perancangan Website Fikri Karya Gemilang Terhadap Sistem Promosi Menggunakan Model Waterfall.” JRSI (Jurnal Rekayasa Sistem Dan Industri) 7(01):56–65.

Lubis, Ahmadi Irmansyah, Poltak Sihombing, and Erna Budhiarti Nababan. 2020. “Comparison SAW and MOORA Methods with Attribute Weighting Using Rank Order Centroid in Decision Making.” Pp. 127–31 in 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT). IEEE

Ladjamudin, Al-bahra. 2013. Analisis dan Desain Sistem Informasi.Yogyakarta: Graha Ilmu.

W. Richert, L. P. Coelho, “Building Machine Learning Systems with Python”, Packt Publishing Ltd., ISBN 978-1-78216-140-0

M. Bkassiny, Y. Li, and S. K. Jayaweera, “A survey on machine learning techniques in cognitive radios,” IEEE Communications Surveys & Tutorials, vol. 15, no. 3, pp. 1136–1159, Oct. 2012.

P. Harrington, “Machine Learning in action”, Manning Publications Co., Shelter Island, New York, 2012




DOI: https://doi.org/10.29040/ijcis.v5i4.221

Article Metrics

Abstract view : 5 times
PDF - 4 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License