Sistem Pendukung Keputusan Rekomendasi Penempatan Lokasi ATM Berbasis Bot-Chat Telegram Menggunakan Metode FUZZY-ELECTRE

Mahendra, Rizqi Yahya (2022) Sistem Pendukung Keputusan Rekomendasi Penempatan Lokasi ATM Berbasis Bot-Chat Telegram Menggunakan Metode FUZZY-ELECTRE. Undergraduate thesis, Universitas Pembangunan Nasional "Veteran" Jawa Timur.

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Abstract

The digital banking process or e-banking has been widely implemented by many banking companies to improve the efficiency of their customers transactions without having to go to the nearest bank office. One of the Indonesian government owned banks has an E-Channel Operation department which is responsible for the management and maintenance of e-banking components. One of the e-banking components that is handled by the department is ATM (Automated Teller Machine). There are problems faced by the department such as the slow process at searching data and documents of ATM, fines caused by delays in ATM location lease and the accuracy of the ATM location recommendations has not been tested yet. The absence of a system that can handle this problem is the purpose of this research. This research is focused on building an information system of ATM data with decision support features for ATM location placement recommendations based on telegram chat bots. The method that will be used for the ATM location recommendation feature is Fuzzy ELECTRE. It is believed that this method is effective to create a ranking based on outranking relationships using the fit and discrepancy index to analyze the dependency between alternatives. From the results of the comparison of the method used with the existing method (AHP-WASPAS), the comparison accuracy is 100% obtained from the similarity of cluster results with 10 recommended data and 10 not recommended data. The attempt to change the TFN value also doesn’t affect the ranking results. With the creation of this system, the development of business process for e-banking components management by e-channel operation department can run optimally.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorNugroho, BudiNIDN0707098003budinugroho.if@upnjatim.ac.id
Thesis advisorMustika, Agung MustikaNIDN0025079302agung.mustika.if@upnjatim.ac.id
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.6 Computer Programming
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: Rizqi Yahya Mahendra
Date Deposited: 24 Jan 2022 01:46
Last Modified: 24 Jan 2022 01:46
URI: http://repository.upnjatim.ac.id/id/eprint/4665

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