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Journal : building of informatics technology and science

Decision Support System for Determining Signature Menus Using the Integration of BMW, MOORA, and Copeland Scores Meta Ardi Setiawan; Anteng Widodo; Noor Latifah
Building of Informatics, Technology and Science (BITS) Vol 8 No 2 (2026): September 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v8i2.10936

Abstract

Menu optimisation is a crucial yet challenging challenge for business sustainability because the speciality coffee sector is marked by dynamic consumer tastes and a high degree of product diversity. This study tackles a basic operational issue at Inti Coffee, where a subjective, intuition-based method is currently used to identify "signature offerings"the important menu items that ought to be given priority for promotion, inventory, and resource allocation. This current process, which mainly depends on the owner, operational manager, and lead barista's intuition, is intrinsically vulnerable to individual cognitive biases, personal taste preferences, and inconsistent evaluation, which frequently results in less than ideal menu performance and lost revenue opportunities. The main goal of this research is to develop and deploy an online Decision Support System (DSS) that offers a transparent, data-driven, and organised framework for objectively ranking menu items in order to get around these restrictions. A hybrid multi-criteria decision-making (MCDM) technique is included into the suggested system to guarantee group unanimity and robustness. In order to minimise pairwise comparison inconsistencies and capture the knowledge of the three primary decision-makers, the Best-Worst Method (BWM) is first used to systematically extract the relative relevance weights of six different evaluation criteria. Second, a thorough dataset of 500 real sales transactions is used to assess and rank 51 menu alternatives using the MOORA (Multi-Objective Optimisation on the basis of Ratio Analysis) method. Both financial parameters (total items sold, HPP or cost of goods sold, and profit margin) and operational characteristics (uniqueness of taste score, preparation time, and ingredient lifetime) are included in the evaluation criteria. In order to successfully resolve any potential conflicts between decision-makers, the Copeland Score is finally used to combine the individual preference rankings into a single, collective group score. This study makes three main contributions: first, it develops a novel integrated DSS framework that integrates BWM, MOORA, and Copeland Score into a single unified workflow specifically designed for signature menu selection; second, it involves three different stakeholders (owner, operational manager, and head barista) in the group decision-making process, ensuring that the final recommendation reflects a balanced consensus rather than individual bias; and third, it creates a fully functional web-based system with statistical validation tools that empirically verify the accuracy and dependability of the recommendations using Spearman correlation, RMSE, and overlap ratio against actual customer preferences. The creation of a useful, web-based DSS that turns menu curating from an art to a science and offers a reproducible model for other food and beverage businesses is the main contribution of this research. With a MOORA score of 0.249180 and a Copeland Score of 50, the interim results show that the system is able to identify "Kopi Susu Aren" as the best-performing signature item. A poll involving 130 participants was carried out to verify the system's output against human judgement in the actual world. In addition to a low Root Mean Square Error (RMSE) of 5.5734 and an overlap ratio of 66.7%, the results show a strong positive correlation (Spearman's rho = 0.9238) between the system's ranks and participant feedback, proving the system's high accuracy and practical applicability. In order to provide scalability and usability for continuous operational choices, the DSS is implemented using a combination of PHP Native, Python, MySQL, and a testing dashboard based on Streamlit.
Co-Authors - Supriyono Achmad Fauzi Adzani Ghani Ilmannafian Agus Tiyo, Muhammad Savra Ahyudiya, Higan Nanda Ainur, Ghefira Akhmad Zidni Hudaya Al Maududi, Abul A'la Al-Maududi, Abul Ala Andi Agus Setyawan Andriawan, Yogi Andriawan, Yogi Andy Prasetyo Utomo Anggraeny, Wahyu Kartika Anisa Handayani Annas Fatia, Imelda Anteng Widodo Anwar Mallongi Aprilia, Tyas Ardila, Septiyani Arfiyan, Farel Dani Ari Adaninggar Arif Setiawan Arina Fawaida Arinda, Yosi Duwita Asih, Erny Asti Devi Mutiara Khoirun Nisa Astriana Putri Kumala Dewi Atik Rokhayani Azizah Zen Baiti Rahman Berliana Adya Wulandari Budi Cahyo Wibowo Dayu Swasti Kharisma Dewi Masitoh Dian Aditya Diana Laily Fithri Diana Laily Fithri Diana Laily Fithri Dihartawan, Dihartawan Diyas Aditya Adi Saputra DWI RAHMAWATI Eko Darmanto Elsya Vera Indraswari Erlina Nofianti Ernyasih, Ernyasih Fadina Salwa Aulia Putri Fajar Nugraha Fajrini, Fini fatia, imelda annas Fatmala, Indah Fauzi, Sa'ad Fauzia, Ghina Zahrotul Fawwaz, Muhammad Taufiq Febrina Larasati Ferry Ferdiansyah, Ferry Ghefira Ainur Ghufriyyah, Shinta Gilang Anugerah Munggaran Gudnanto Hakim, Chaerul Wisnu Handayani, Rosmawati Herdiansyah, Dadang Herlina Sari, Nurya Hidayat, Hilmi Bayu Higan Nanda Ahyudiya Ida Ayu Putu Sri Widnyani Ika Friscila, Ika Imam Abdul Rozaq Iman, Hadad Karsa Nur Indriani Zabrina Putri Irawati, Diana Izzatul Wahyuningsih Jaksa, Suherman Januar Ariyanto Jarir Bafadlol Albayhaqi Juhazty, Meti Brendha Kristiana, Isha Desty Kurniasari, Nita Kurniawan, Rizky Dwi Kusumawardhana, Muhammad Anton Laily Fithri, Diana Lina Anjelina Lisa Rachmawati Lubis, Anwar Lukito, Aji Lusida, Nurmalia Madiana, Tiara Septya Mariatul Kiptiah Marlina Oktaviani Maulidiawati, Chyntia Melviani, Melviani Meta Ardi Setiawan Mochammad Imron Awalludin Mubarrizi, Nor Muhammad Muhammad Muhammad Arifin Muhammad Indra Darmawan Muhammad Maulana Abdurrohman Muhammad Rizky muhammad rizky, muhammad Muhammad Shofiyuddin Muhammad Sukron Ma'mun Munaya Fauziah Nada Kusumawardani Nadiva Naifa Najla Nafar Ja’far Ashidiqi Nafi’ Inayati Zahro Nastiti, Kunti Natashia, Dhea Nishwatul Khofifah Noor Yulita Dwi Setyaningsih Nova Briyan Haidar Nujulla, Puspa Odang, Maulidina Salsabilla Pawestri, Hasna Pratomo Setiaji Purwanto, Ari Joko Putri Handayani Putri Kurnia Handayani Putri, Vivinda Trisnowati R Rhoedy Setiawan Rahman, Nisa Aulia Rayhana, Rayhana Restu Prayoga, Hendrika Ricko Muhammad Firdaus Rike Syahniar Rina Fiati Rina Saputri Riyan Ulil Amri Rohama, Rohama Romadhon, Zainur Romdhona, Nur Sa'dan, Ahmad Setyawan, Andi Agus SG, Hardiman Shofiani Dwi Natalia Slamet Rahayu Slametiningsih, Slametiningsih Sofian, Ahmad Soni Adiyono Suherman, Suherman Sulistina Rini Supriyono Supriyono Supriyono Suryaalamsah, Inne Indraaryani Sutono Sutono Sutono Syafiul Muzid Tiara Septya Madiana Triana Srisantyorini Triya Adzani Maulidina Tutik Khotimah Viki Muliawati Wulandari Wahdah, Rabia Wiwit Agus Triyanto Wulandari, Berliana Adya Yudie Irawan Zakaria Mubarok, Adhi Zulfa Himmatul Ulya Zuyyina Syarifa Yahya