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The Impact of Terrarium Aesthetics on Purchase Behavior: A Binary Logistic Regression Analysis of The Celebes Plant Lover Community Syahruni Aryanti; Jerry Heikal
Devotion : Journal of Research and Community Service Vol. 7 No. 6 (2026): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v7i6.25726

Abstract

Terrariums have gained popularity as decorative elements that combine aesthetic value with low-maintenance plant care, particularly among urban and hobbyist communities. Understanding the factors that drive purchase decisions in such niche markets is essential for producers and marketers. This research aims to examine the factors influencing terrarium purchase decisions among members of the Celebes Plant Lovers community. The research employs a quantitative approach using binary logistic regression analysis based on data collected from 107 respondents. The independent variables include aesthetic appeal, type of terrarium, type of plant, maintenance, price, and purchasing platform, while the dependent variable is the purchase decision. The results show that the regression model is statistically significant (χ²(6) = 12.87, p = 0.045) and explains 18.2% of the variance in purchase decisions (Nagelkerke R² = 0.182), with an overall classification accuracy of 82.2%. Among the examined variables, only aesthetic appeal has a significant effect on purchase decisions (β = 0.965, p = 0.035), indicating that higher aesthetic value increases the likelihood of purchasing terrarium products. Other variables—such as type of terrarium, type of plant, maintenance, price, and purchasing platform—do not show significant effects. These findings highlight the importance of visual attractiveness in influencing consumer behaviour, particularly in hobby-based communities. The study contributes to the understanding of consumer decision-making by emphasizing the dominant role of aesthetics over functional and economic factors in niche markets.
Perspective Javanese Employee on Pursuing Wealth Finding From an Ethnography Analysis Medysia Novittaqa S; Hana Oktafianna; Seera Safira; Jerry Heikal
Jurnal Indonesia Sosial Sains Vol. 7 No. 6 (2026): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v7i6.2378

Abstract

Problems economy can happen all over society. Both those who have income tall or those who have income low. The Javanese are Indonesia's most populous ethnic group, and the majority have migrated throughout the archipelago. Nevertheless, Javanese culture continues to permeate their daily activities and is transmitted to subsequent generations. A society's culture typically shapes a person's point of view, conduct, morals, and ethics, which may directly or indirectly influence how groups behave in everyday situations. Economic issues can arise in any community, largely because many people lack the ability to manage their finances responsibly. This study explores how Javanese people perceive financial planning and wealth accumulation. An ethnographic qualitative approach was employed, using in-depth interviews to collect data from Javanese employee respondents. The findings reveal that most respondents focus on wealth planning for future life security, with three main themes emerging: wealth accumulation, wealth preservation, and wealth planning. This study contributes to understanding the intersection between cultural values and financial behavior among Indonesia's largest ethnic group.
Menentukan Segmentasi dan Target Konsumen bagi Pembeli Marketplace Fashion Online Menggunakan Metode K-Means Clustering dan Analisis Etnografi Reviani Erlinda; Heru Prabowo; Triesna Ratulina; Jerry Heikal
MAMEN: Jurnal Manajemen Vol. 5 No. 3 (2026): Juli 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/mamen.v5i3.7893

Abstract

This study aims to determine consumer segmentation and targeting strategies for fashion buyers in online marketplaces using the K-Means Clustering method. In the rapidly evolving digital retail landscape, understanding heterogeneous consumer behaviour is essential for designing precise and effective marketing strategies. Using data from 204 respondents, the study incorporates demographic, psychographic, behavioural, and preference-based variables including fashion style orientation, purchasing behaviour, and platform usage to construct meaningful clusters. The analysis produced five distinct consumer segments: Functional Casual Buyers, Trend-Oriented Streetwear Males, Premium Classic Enthusiasts, Trendy Female Shoppers, and Mass-Market Casual–Sporty Consumers. Each segment was examined comprehensively to identify personas, core needs, pain points, and corresponding Online Value Propositions (OVPs). Furthermore, a Maintain–Stop–Start marketing mix strategy based on the 8P framework was developed to guide practical implementation for each cluster. The findings demonstrate that data-driven segmentation enhances targeting accuracy, personalization effectiveness, and strategic alignment in digital fashion commerce. Overall, this research highlights how K-Means Clustering serves as a robust analytical tool for improving competitive positioning and optimizing marketing strategies in increasingly fragmented online fashion markets.
The Influence of Digital Service Quality and Customer Experience on User Satisfaction and Loyalty of Shopee in Indonesia Using SEM–PLS Diva Dinar Fasya; Herdianto Herdianto; Syauqi Ahtisya; Jerry Heikal
Economic Reviews Journal Vol. 4 No. 4 (2025): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mrj.v5i1.983

Abstract

This study aims to analyze the influence of digital service quality and customer experience on user satisfaction and loyalty among Shopee users in Indonesia using the Structural Equation Modeling–Partial Least Squares (SEM–PLS) approach. Digital transformation has reshaped consumer behavior, positioning service quality and customer experience as key success factors in e-commerce. Data were collected through an online survey using a Likert scale from active Shopee users. The results indicate that customer experience has the most dominant influence on satisfaction, while digital service quality acts as a fundamental factor shaping users’ positive perceptions of the platform. Customer satisfaction is proven to be a significant mediating variable linking service quality and customer loyalty. Users who experience positive and consistent interactions tend to be more satisfied and demonstrate stronger long-term loyalty to Shopee. These findings highlight the importance of enhancing digital experiences that are both engaging and personalized to sustain customer loyalty in an increasingly competitive e-commerce environment.
Analysis of the Factors Influencing Willingness to Connect in Sistem Penyediaan Air Minum (Spam)/Drinking Water Supply System (Dwss) Pekanbaru Riau Using Binary Logistic Regression Method Raras Herry K; Sarah Mulyani; Jerry Heikal
Journal Research of Social Science, Economics, and Management Vol. 5 No. 8 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i8.1344

Abstract

To fulfill the needs for clean water in Pekanbaru City and Kampar Regency Riau, Perusahaan Daerah Air Minum(PDAM)/Drinking Water Regional Enterprise (DWRE) in collaboration with an investor company is building piping network infrastructure known as the Pekanbaru – Riau Sistem Penyediaan Air Minum (SPAM)/Drinking Water Supply System (DWSS). This SPAM/DWSS has an important role in fulfilling the needs for clean water in the community. However, its operational sustainability is highly dependent on the ability of potential customers to pay for the services (willingness to connect). This study aims to analyze factors influencing the willingness to connect for prospective customers of SPAM/DWSS Pekanbaru – Kampar by using the binary logistic regression method. The independent variables analyzed include economic, social, and demographic factors, such as age, occupation, household income, education level, and customer perception of water tariffs. The data were collected through a survey conducted by RH Consultants to 2,000 respondents of domestic customers and 1,500 respondents of commercial and industrial customers to determine the most significant factors influencing the willingness to connect. The results showed that household income has a significant influence on the willingness to connect for potential customers. These findings provide insights for SPAM/DWSS managers and local governments in designing more equitable and sustainable tariffs and policies.