Selection of the Best Lip Cream According to Consumers Using the Multi-Attribute Utility Theory (MAUT) Method


Authors

  • Suci Rizki Ramadhani Damanik Sekolah Tinggi Ilmu Komputer Tunas Bangsa, Pematangsiantar, Indonesia
  • Indriyani Indriyani Sekolah Tinggi Ilmu Komputer Tunas Bangsa, Pematangsiantar, Indonesia
  • Sabila Putri Adriatasya Sekolah Tinggi Ilmu Komputer Tunas Bangsa, Pematangsiantar, Indonesia
  • Melly Sahaque Sekolah Tinggi Ilmu Komputer Tunas Bangsa, Pematangsiantar, Indonesia
  • Surya Darma Sekolah Tinggi Ilmu Komputer Tunas Bangsa, Pematangsiantar, Indonesia
  • Saifullah Saifullah Sekolah Tinggi Ilmu Komputer Tunas Bangsa, Pematangsiantar, Indonesia
  • Wendi Robiansyah Sekolah Tinggi Ilmu Komputer Tunas Bangsa, Pematangsiantar, Indonesia

Keywords:

Election; Lipcream; Consumer; DSS; MAUT

Abstract

Cosmetics are products applied externally to the human body, including the lips, to enhance appearance, protect, and improve aesthetic value. One of the most widely used cosmetic products is lip cream, which is favored due to its long-lasting properties, even color coverage, comfortable texture, and practicality. However, the selection of lip cream products by consumers is often subjective and not supported by systematic evaluation methods, resulting in less optimal purchasing decisions. Therefore, a structured decision support approach is required to assist consumers in choosing the most suitable lip cream based on multiple criteria. This study aims to apply the Multi-Attribute Utility Theory (MAUT) method as a decision support system to determine the best lip cream according to consumer preferences. The evaluation is based on four main criteria: long-lasting performance, light texture quality, even color coverage, and affordable price. Data were collected through questionnaires distributed to consumers, particularly women who actively use lip cream products. Eight lip cream brands were evaluated as alternatives, namely Hanasui, Wardah, OMG, Pink Flash, Maybelline, Implora, Make Over, and Purbasari. The MAUT method was implemented through several stages, including criteria weighting, normalization, marginal utility calculation, and final utility value determination. The results indicate that the Make Over brand achieved the highest utility value, followed by OMG and Implora, demonstrating that products with a balanced combination of durability, quality, and reasonable price are more preferred by consumers. These findings confirm that the MAUT method is effective in providing objective, accurate, and systematic decision support for cosmetic product selection. This research contributes to helping consumers make rational purchasing decisions and provides valuable insights for manufacturers and sellers to understand market preferences and improve product competitiveness in the cosmetics industry.

References

Agustina, R. (2024). Assessment of Pliek-U Sensory Attributes: A Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method Application. International Journal of Design and Nature and Ecodynamics, 19(1), 61–67. https://doi.org/10.18280/ijdne.190108

Ajay, C. V. (2025). Optimization and prediction of the tribological parameters of biocompatible AZ31/Al2O3/Si3N4 metal matrix composites using CCD-RSM, MOORA and FNN models. International Journal on Interactive Design and Manufacturing, 19(10), 6919–6940. https://doi.org/10.1007/s12008-025-02254-1

Almeida, V. V. A. (2025). Prioritization of investment order in Brazil among renewable energy sources: an analysis using the SWARA-MOORA-3NAG method. Journal of Modelling in Management, 20(2), 620–647. https://doi.org/10.1108/JM2-09-2023-0208

Bansal, G. (2021). Modeling the Impact of Remanufacturing Process in Determining Demand-Cost Trade off Using MAUT. American Journal of Mathematical and Management Sciences, 40(2), 120–133. https://doi.org/10.1080/01966324.2020.1839609

Baraily, A. (2024). Optimizing Drilling Process Parameters: An MCDM-Based Comparative Analysis Using CRITIC, MOORA and CoCoSo. Journal of Physics Conference Series, 2818(1). https://doi.org/10.1088/1742-6596/2818/1/012028

Barik, T. (2023). Optimizing the input parameters setting for least hole defects while drilling CFRP laminates by multi-objective optimization on the basis of ratio analysis (MOORA) method. Journal of Physics Conference Series, 2484(1). https://doi.org/10.1088/1742-6596/2484/1/012007

Binh, V. D. (2025). Determination of Best Dressing Factors in Surface Grinding Hardox 500 using MAUT Method. International Journal of Mechanics, 19, 1–5. https://doi.org/10.46300/9104.2025.19.1

Chen, L. (2022). A semi-automatic image-based object recognition system for constructing as-is IFC BIM objects based on fuzzy-MAUT. International Journal of Construction Management, 22(1), 51–65. https://doi.org/10.1080/15623599.2019.1615754

Chivukula, K. (2023). PRIORITIZING LEAN TOOLS FOR INTEGRATION WITH INDUSTRY 4.0 TECHNOLOGIES USING A HYBRID FUZZY MOORA APPROACH. International Journal of Industrial Engineering Theory Applications and Practice, 30(5), 1133–1149. https://doi.org/10.23055/ijietap.2023.30.5.8883

Das, S. (2025). Optimization of CNC turning parameters of copper–nickel (Cu–Ni) alloy using VIKOR, MOORA and GRA techniques. International Journal on Interactive Design and Manufacturing, 19(1), 291–300. https://doi.org/10.1007/s12008-023-01698-7

Dhanalakshmi, G. (2025). AN UNBIASED COMPARISON OF THE MOORA TOPSIS AND WASPAS METHODS WITHIN THE MATLAB PROGRAMMING ENVIRONMENT, UTILIZING A FUZZY HYPERSOFT SETS FRAMEWORK. Palestine Journal of Mathematics, 14, 79–93.

Ghoushchi, S. J. (2023). Prioritizing and evaluating risks of ordering and prescribing in the chemotherapy process using an extended swara and moora under fuzzy z-numbers. Journal of Operations Intelligence, 1(1), 44–66. https://doi.org/10.31181/jopi1120238

Handrizal. (2024). MULTI-OBJECTIVE METHOD COMBINATION ANALYSIS OPTIMIZATION ON THE BASIS ON RATION ANALYSIS (MOORA) AND BEST FIRST SEARCH ALGORITHM IN THE SELECTION OF OBSTETRICIAN AND GYNECOLOGY PRACTICES. Journal of Theoretical and Applied Information Technology, 102(6), 2442–2450.

Ikasari, D. (2023). Implementation of Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) in a Decision Support System to Determine the Choice of Schools, Case Study of SMAN Depok Region. International Journal of Engineering Trends and Technology, 71(1), 178–188. https://doi.org/10.14445/22315381/IJETT-V71I1P216

Jati, N. C. T. (2024). Developing a Multi-Criteria Restaurant Recommendation System with MOORA: A Case Study in Gading Serpong. Journal of Logistics Informatics and Service Science, 11(11), 519–534. https://doi.org/10.33168/JLISS.2024.1128

Khelfaoui, F. (2024). Assessment of performance parameters in intermittent turning and multi-response optimization of machining conditions using DF, MOORA, VIKOR, and coupled NSGAII-VIKOR methods. International Journal of Advanced Manufacturing Technology, 130(11), 5665–5691. https://doi.org/10.1007/s00170-024-12979-0

Khorshidi, M. (2022). Solar power plant location selection using integrated fuzzy DEMATEL and fuzzy MOORA method. International Journal of Ambient Energy, 43(1), 7400–7409. https://doi.org/10.1080/01430750.2022.2068067

Maharani, S. (2021). Comparison of topsis and maut methods for recipient determination home surgery. Iaes International Journal of Artificial Intelligence, 10(4), 930–937. https://doi.org/10.11591/IJAI.V10.I4.PP930-937

Nwankiti, U. S. (2024). ANALYSIS OF THE THERMAL FRICTION DRILLING PROCESS FOR EFFECTIVE PARAMETRIC CHOICE ON THE DRILLING OF AISI 304 STAINLESS STEEL USING THE FUZZY AHP-MOORA METHOD. Kufa Journal of Engineering, 15(4), 157–185. https://doi.org/10.30572/2018/KJE/150411

Prabhu, M. (2025). Experimental exploration and assessment of failure analysis on wire electrical discharge machining processing of Inconel 686 by integrated MOORA-PCA approach. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. https://doi.org/10.1177/09544089251338965

Prabiantissa, C. N. (2024). Mutual information-MOORA based feature weighting on naive bayes classifier for stunting data. Indonesian Journal of Electrical Engineering and Computer Science, 36(2), 972–982. https://doi.org/10.11591/ijeecs.v36.i2.pp972-982

Raj, P. (2024). Optimizing the machining conditions in turning hybrid aluminium nanocomposites adopting teaching–learning based optimization and MOORA technique. International Journal on Interactive Design and Manufacturing, 18(5), 3089–3101. https://doi.org/10.1007/s12008-023-01450-1

Raj, R. (2024). Practices and strategies for global sourcing and supply chain management: a Pareto analysis and MOORA a mixed method approach. Journal of Global Operations and Strategic Sourcing. https://doi.org/10.1108/JGOSS-06-2023-0064

Raju, S. (2024). A hybrid AHP-TOPSIS, MOORA technique for multi-objective optimization of thermal, mechanical, and water absorption behavior of epoxy/hemp, pine apple, and palm fiber composites. Journal of the Chinese Institute of Engineers Transactions of the Chinese Institute of Engineers Series A, 47(1), 23–36. https://doi.org/10.1080/02533839.2023.2274092

Ranjith, R. (2022). Integrated MOORA-ELECTRE approach for solving multi-criteria decision problem. World Journal of Engineering, 19(4), 510–521. https://doi.org/10.1108/WJE-12-2020-0656

Riahi, S. (2023). Application of data-driven multi-index overlay and BWM-MOORA MCDM methods in mineral prospectivity mapping of porphyry Cu mineralization. Journal of Applied Geophysics, 213. https://doi.org/10.1016/j.jappgeo.2023.105025

Safi, K. (2022). Tool wear, 3D surface topography, and comparative analysis of GRA, MOORA, DEAR, and WASPAS optimization techniques in turning of cold work tool steel. International Journal of Advanced Manufacturing Technology, 121(1), 701–721. https://doi.org/10.1007/s00170-022-09326-6

Sampath, V. K. (2024). Assessment and Prioritization of Sub-Watersheds Vulnerable to Soil Erosion in an Ungauged River Basin Using MOORA, COPRAS, MARCOS and MABAC Methods. Journal of the Indian Society of Remote Sensing, 52(10), 2143–2163. https://doi.org/10.1007/s12524-024-01942-x

Sevim, F. (2024). Evaluation of Health Systems Performance of OECD Countries Using MOORA Method. Journal of Health Management, 26(1), 172–183. https://doi.org/10.1177/09720634231215131

Shafiq, A. (2025). MAGDM for Evaluating the Role of Computer Science in Education with PLq-ROF Heronian Mean Operators and Maximizing Deviation-MOORA Methodology. International Journal of Computational Intelligence Systems, 18(1). https://doi.org/10.1007/s44196-025-00925-1

Singh, R. (2025). Ranking of factors affecting performance of manufacturing industry using fuzzy MAUT technique. International Journal of Industrial and Systems Engineering, 50(3), 303–321. https://doi.org/10.1504/IJISE.2025.147678

Soetjipto, J. W. (2023). AN APPROACH FOR IRRIGATION NETWORK REHABILITATION PRIORITY BASED ON HYBRID AHP-TOPSIS, WASPAS, MOORA. International Journal of Geomate, 25(110), 49–58. https://doi.org/10.21660/2023.110.3943

Vellingiri, S. K. K. (2025). Comparative evaluation and ranking of physicochemical properties of bodybuilding supplements in India using AHP and MOORA methods. Journal of Food Composition and Analysis, 148. https://doi.org/10.1016/j.jfca.2025.108562

Wankhede, S. V. (2022). MOORA and TOPSIS based selection of input parameter in solar powered absorption refrigeration system. International Journal of Ambient Energy, 43(1), 3396–3401. https://doi.org/10.1080/01430750.2020.1831600

Yontar, E. (2024). ASSESSMENT OF SUSTAINABILITY CRITERIA WITH DEMATEL AND MOORA METHODS: A CASE STUDY IN TEXTILE SECTOR. Environmental Engineering and Management Journal, 23(1), 11–28. https://doi.org/10.30638/eemj.2024.002


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Published: 2026-01-24

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How to Cite

Damanik, S. R. R., Indriyani, I., Adriatasya, S. P., Sahaque, M., Darma, S., Saifullah, S., & Robiansyah, W. (2026). Selection of the Best Lip Cream According to Consumers Using the Multi-Attribute Utility Theory (MAUT) Method. Proceeding of International Conference Technology, Economics, and Social Science, 1(1), 509-518. Retrieved from https://journals.adaresearch.or.id/ictess/article/view/323

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