Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Bulletin of Artificial Intelligence
Mesran Mesran
Sekolah Tinggi Ilmu Manajemen Sukma Medan
Computer Science & IT Control & Systems Engineering

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

Found 2 Documents
Search

 1 
Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi Menggunakan Metode TOPSIS Dendy Frans Gunawan Hutagalung; Mesran Mesran
Bulletin of Artificial Intelligence Vol 3 No 2 (2024): October 2024
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v3i2.215

Abstract

Public and private universities are institutions where students acquire knowledge according to their interests and talents. To improve student quality, universities implement programs for selecting outstanding students. However, in many public and private universities, the selection of outstanding students is often based solely on the Grade Point Average (GPA). In fact, several other assessment criteria should also be considered, such as the number of scientific papers, TOEFL score, GPA, ethics, and parents’ monthly income. Therefore, a decision support system is required to assist in the selection process of outstanding students. The method applied in this study is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This method is chosen because it can effectively solve decision-making problems by using priority values or weights assigned to each criterion. The results of this study indicate that Alternative A3, namely “Frans,” is the best alternative with a preference value (Vi) of 1
Sistem Pendukung Keputusan Pemilihan Hotel Terbaik dengan Menggunakan Metode Simple Additive Weighting (SAW) Hardi Giat Sofian Manalu; Safrin Zulkarnain Tarigan; Gunawan Batubara; Mesran Mesran; Ridha Maya Faza Lubis
Bulletin of Artificial Intelligence Vol 4 No 1 (2025): April 2025
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v4i1.228

Abstract

The booming tourism sector offers travellers many accommodation options. However, this diversity can make it difficult to find the right hotel. Therefore, to assist travellers in this difficult decision-making process, a Decision Support System (DSS) for Best Hotel Selection was created. This SPK uses a sophisticated algorithm called ‘method in use’, which can analyse hotel data in multiple dimensions. To make the best hotel recommendation, various factors are considered, including price, location, facilities, guest reviews, and travellers' personal preferences. Travellers get many great benefits from the application of this SPK, including, Time efficiency, Right decision and Better experience. This research uses the SAW method in making a decision in determining the best hotel. Based on the results of research using the SAW method, it can be concluded that this method is very helpful in the process of making hotel selection decisions in Dumai. By giving weight to each criterion that is considered important by users, such as price, location, and facilities, SAW produces a final value for each hotel alternative. Through this calculation, users can easily compare and choose the hotel that best suits their needs. In this study, Hotel C obtained the highest score of 0.850, followed by Hotel B and Hotel G with final results of 0.820 and 0.810 respectively
Co-Authors Dendy Frans Gunawan Hutagalung Gunawan Batubara Hardi Giat Sofian Manalu Ridha Maya Faza Lubis Safrin Zulkarnain Tarigan