Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Bulletin of Informatics and Data Science
Kusuma, Ade Ayunda
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Decision Support System for Determining New Branch Location Applying the MAUT Method with ROC Weighting Mesran, Mesran; Kusuma, Ade Ayunda; Lubis, Ridha Maya Faza
Bulletin of Informatics and Data Science Vol 2, No 2 (2023): November 2023
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v2i2.76

Abstract

The new branch location is close to people's activities with the availability of adequate facilities, making it convenient for consumers to access the services/products they need. The determination of the feasibility of a new branch location by several product or service producers still uses an inaccurate system, which can lead to problems in determining a strategic and targeted new branch location. However, there are some challenges in selecting a new branch location, so the utilization of technology is considered efficient, easy, and flexible, widely used by entrepreneurs, especially in determining new branch locations. This is done by using the assistance of a decision support system, which is expected to help determine an efficient and strategic new branch location. The aid comes in the form of a Decision Support System using the MAUT method with ROC weighting. After calculating each criterion and alternative, the best ranking is obtained for alternative A6 with a value of 0.6847. This way, business groups will not have difficulty in determining a new branch location through alternatives and criteria. The use of the MAUT method with ROC weighting is expected to assist in obtaining the best and valid alternatives up to the ranking stage
Implementasi Metode Multi Attribute Utility Theory (Maut) Pada Sistem Pendukung Keputusan Recruitment Barista Pada Arabica Cafe Kusuma, Ade Ayunda; Ningsih, Trans
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 7, No 1 (2024): Transformasi Komputasi Kuantum Untuk Percepatan Teknologi Baru
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v7i1.7914

Abstract

Arabica Cafe is a coffee shop that provides various types of coffee and drinks which have their own characteristics depending on the coffee maker or barista who makes the coffee. Based on interviews conducted with the owner of Arabica Cafe and several related parties, it was explained that the assessment of prospective baristas who apply is still based on individuals so that lack of accuracy in recruiting prospective baristas is considered to be an ongoing problem for cafe owners. therefore a decision support system (DSS) is needed which is expected to be able to help in resolving these problems. A Decision Support System (SPK) is a computerized system used to assist decision making in a company or organization. The decision support system as a solution in solving problems with the application and application of the Multi Attribute Utility Theory (MAUT) method which is able to provide maximum results to obtain superior barista recruitment is Fanny Sembiring in alternative A9 with a result of 0.80832 as the alternative chosen in the recruitment of baristas after going through the stages application of the method.
Co-Authors Lubis, Ridha Maya Faza Mesran, Mesran Ningsih, Trans