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All Journal Media Statistika International Journal of Multidisciplinary Sciences and Arts
Jerry Dwi Trijoyo Purnomo
Institut Teknologi Sepuluh Nopember (ITS)
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Analysis Of Consumer Preferences Towards The Decision To Purchase Isotonic Drinks Using The Conjoint Analysis Method Oktaneldanora, Yudit; Purnomo, Jerry Dwi Trijoyo; Noer, Bustanul Arifin
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6560

Abstract

Exercise is an important activity for maintaining physical and mental health. One of the factors supporting sports performance is the consumption of isotonic drinks, which help replace lost fluids and electrolytes. This study aims to analyze consumer preferences for isotonic drinks based on the attributes of sugar content, package size, price, and taste. The method used is conjoint analysis by distributing questionnaires to 185 respondents (athletes and sports fans) in Malang, Surabaya, and Kediri. The results showed that the most preferred combination of attributes is isotonic drinks with low sugar content, 500ml packaging, a price of Rp 3,000–Rp 4,000, and original flavor. The most influential attributes in purchasing decisions were taste (33%) and price (32%), followed by sugar content (19%) and package size (16%). Correlation analysis showed a strong relationship between actual and predicted preferences (Pearson's R = 0.787; Kendall's tau = 0.611), with a significance of <0.05, indicating the accuracy of the model. The managerial implications of this study are recommendations for isotonic drink manufacturers to focus product development on low-sugar variants with original flavors, affordable prices, and large packaging (500ml) to meet the preferences of sports consumers.
Project Prioritization Using Fuzzy AHP (FAHP) And 4c Diamond Marketing Model In Digital Wallet Application Development Alfianto, Tomy Aulia; Noer, Bustanul Arifin; Purnomo, Jerry Dwi Trijoyo
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6592

Abstract

The rapid growth of digital wallet applications in the financial technology sector has created increasing complexity in strategic decision-making for development project prioritization. This research addresses the challenge of systematically evaluating and prioritizing multiple development projects by implementing the Fuzzy Analytic Hierarchy Process (FAHP) method combined with the 4C diamond model framework. The study focuses on a digital wallet application development case, where ten projects were evaluated against four main criteria: Customer, Company, Competitor, and Change, along with their respective sub-criteria. The methodology employs triangular fuzzy numbers to handle uncertainty and subjectivity inherent in expert judgments, while the 4C diamond model provides a comprehensive framework for strategic analysis. Data collection was conducted through structured interviews with industry experts and stakeholders involved in digital wallet development. The FAHP method was applied to calculate criteria weights and project scores, followed by comprehensive sensitivity analysis to validate the prioritization model's robustness. Results demonstrate that customer-centric factors dominate the decision-making process with the highest weight of 0.425, followed by company considerations (0.323), change adaptability (0.206), and competitive factors (0.046). The final prioritization identified five top-priority projects based on their strategic alignment and value potential. Sensitivity analysis confirmed the model's stability, with ±10% weight variations showing minimal impact on ranking consistency. The research contributes to technology project management by providing a structured, quantitative approach to strategic decision-making in digital financial services. The proposed framework demonstrates applicability beyond digital wallet development, serving as a replicable model for multi-criteria decision-making in technology project prioritization.
PER CAPITA CONSUMPTION ESTIMATION IN SURABAYA USING ENSEMBLE MODEL APPROACH Sutikno, Sutikno; Purnomo, Jerry Dwi Trijoyo; Harfianto, Unggul; Irfandi, Yoga Prastya; Anisa, Kartika Nur; Cahyoko, Fajar Dwi
MEDIA STATISTIKA Vol 16, No 2 (2023): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.16.2.170-181

Abstract

The categorization of the Low-Income Community category is based on the poverty indicators in the Multidimensional Poverty Index, including the dimensions of health, education, and living standards. The Proxy Means Test (PMT) can estimate household income or consumption by taking into account household conditions that are readily observable and cannot be manipulated. This method offers the advantage of being capable of determining both the poverty level of a household and the household's characteristics based on asset ownership and socio-demographic conditions. This study aims to estimate per capita consumption using OLS, Robust, Quantile, LASSO, and Ensemble methods. The application of these methods is intended to address various issues, including the presence of outlier data, multicollinearity, and uncertainties. The results indicate that none of the four methods used achieved the highest accuracy based on the MSE, MAE, and sMAPE criteria. Consequently, employing an ensemble model becomes essential to accommodate the element of uncertainty present in these four models. The application of the ensemble method is not only as a comparison between the models, but also as a means to capture the uncertainty contained in each model
Co-Authors Alfianto, Tomy Aulia Cahyoko, Fajar Dwi Harfianto, Unggul Irfandi, Yoga Prastya Kartika Nur Anisa Noer, Bustanul Arifin Oktaneldanora, Yudit Sutikno Sutikno