Naue, Siti Nurmeylisya
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Pemodelan Faktor-Faktor Yang Mempengaruhi Perilaku Konsumen Pia Jagung Dumati menggunakan Structural Equation Modeling-Partial Least Square Abdussamad, Siti Nurmardia; Naue, Siti Nurmeylisya; Hasan, Nadia Kasmin
Research in the Mathematical and Natural Sciences Vol. 4 No. 1 (2025): November 2024-April 2025
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v4i1.192

Abstract

The development of industrial competition requires producers to continue to evaluate and innovate the products they produce. This research aims to analyze consumer behavior by looking at the factors that influence the purchase of Pia Jagung Dumati products in Gorontalo Regency. The method used is Structural Equation Modeling (SEM)-Partial Least Square (PLS) to provide a clearer picture of the influence on consumer behavior. Questionnaires distributed to 100 respondents became the data used in this research. The sampling technique used is purposive sampling. This research uses the variables price, product quality, promotions, and working hours. The results of the analysis are that the price, product quality and promotion variables have a significant influence on consumer behavior, while the working hours variable has no significant influence. This research provides recommendations for manufacturers to focus on flavor innovation, packaging and more creative digital marketing strategies to attract the attention of consumers, especially among the productive age group
Pemodelan Multiple Discriminant Analysis Pada Perilaku Impulsive Buying Pengguna Shopee Pada Tanggal Cantik Naue, Siti Nurmeylisya; Yahya, Lailany; Abdussamad, Siti Nurmardia; Payu, Muhammad Rezky Friesta; Nasib, Salmun K
Griya Journal of Mathematics Education and Application Vol. 5 No. 2 (2025): Juni 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i2.632

Abstract

Impulsive buying is a consumer behavior that makes purchases without prior planning. Impulsive buying is one of the consumer behavior phenomena that is increasingly widespread, especially on e‑commerce platforms such as Shopee during massive promotions on beautiful dates. Multiple Discriminant Analysis (MDA) is a method that has the advantage of classifying individuals into groups based on several predictor variables. The purpose of this study is to classify consumers into groups or categories based on their tendency to make impulse purchases on beautiful dates by analyzing the factors that influence them. The results of this study indicate that the beautiful date can affect the behavior of impulsive buying. The discriminant function model formed is able to distinguish categories of impulsive buying behavior with a good classification accuracy rate of 86.25% and the model shows that price is the most dominant or influential factor in distinguishing the category of impulsive buying of Shopee users on beautiful dates. This means that MDA Modeling is very helpful in classifying respondents into groups or categories based on the factors that influence them.