Work place: Politeknik Sinar Mas Berau Coal, 77315, Indonesia
E-mail: dewisafitriani@polteksimasberau.ac.id
Website:
Research Interests:
Biography
Dewi Safitriani is a logistics and supply chain management professional who currently serves as a lecturer in the D4 Logistics Engineering Technology program at Politeknik Sinar Mas Berau Coal. She began her academic journey in 2002, earning a Bachelor’s degree in Industrial Engineering from the Islamic University of Bandung. After completing her undergraduate studies, she pursued postgraduate education at IPB University, where she specialized in Natural Resources and Environmental Management, graduating in 2008. In 2023, Dewi further advanced her professional qualifications by completing an Engineering Profession program via Recognition of Prior Learning (RPL) in Industrial Engineering at the Indonesia Institute of Technology. Since joining Politeknik Sinar Mas Berau Coal, Dewi has authored several articles including “Facing Vocational Education Curricula in the Industry 4.0 Era” and written books such as Supply Chain Performance in the Mining Industry and Digitalization in Supply Chain Management. Her research has earned her the “Beginner Lecturer Research Grant” in both 2020 and 2024, and she has conducted numerous studies on supply chain, logistics, and appropriate technology applications. Committed to continuous professional development, Dewi holds the Certified Supply Chain Analyst (CSCA) credential and serves as a Competency Assessor at the Industrial Management Engineering Certification Institute. She has also participated in a variety of teaching and training workshops to enhance her instructional skills.
By Anik Hanifatul Azizah Heny Pratiwi Reza Andrea Achmad Afandi Sri Rakhmawati Dewi Safitriani Nurhasanah Nurhasanah
DOI: https://doi.org/10.5815/ijitcs.2025.05.03, Pub. Date: 8 Oct. 2025
This study addresses the challenge faced by tourists, companies, travel agents, and tourism agencies in selecting the ideal hotel in Samarinda, given the variety of available options. The city boasts numerous hotels with differing facilities, room types, rates, and locations, which can complicate decision-making without adequate information. To provide a solution, this research introduces a Decision Support System (DSS) that employs the Multi-Attribute Utility Theory (MAUT) method for hotel assessment. By evaluating hotels based on key attributes like price, amenities, service quality, and location, the system offers a comprehensive, objective approach to determining the best affordable hotels. The study contributes significantly to the hospitality sector by presenting a practical tool that simplifies the hotel selection process and ensures that choices align with the preferences of the visitors.
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