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Understanding Shoppers’ Decision-Making Process in Traditional Markets in Indonesia Widiyani; Ciadi, Yoke Mulyono; Putra, Bramana Ajasmara
Journal of Regional and City Planning Vol. 36 No. 1 (2025)
Publisher : The Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jpwk.2025.36.1.4

Abstract

Every country has its own traditional place for trading fresh food known as the “marketplace.” In Indonesia, people refer to the marketplace as “traditional market.” Traditional markets encompass a variety of activities, such as buying and selling as well as social interactions and cultural features in rural and urban areas. Traditional markets are important for providing fresh produce to the local community and are mostly located close to residential areas. However, Indonesian traditional markets have experienced a decline due to the growth of modern markets, prompting the government to focus on attracting tourists to the traditional markets. Unfortunately, there are limited studies to determine if tourists represent an appropriate target market. The goal of this research was to enhance the understanding of traditional markets’ functions and factors that impact shoppers’ decisions to shop at traditional markets in Indonesia. Data from 506 respondents was collected through an online survey and a quantitative analysis was conducted. The results showed that regular customers are attracted to traditional markets by low prices and that they do not prioritize cleanliness, as these individuals are primarily interested in buying fresh produce. The study further suggests that customers in Indonesian traditional markets tend to display utilitarian behavior. As a result, stakeholders should consider traditional markets’ primary function as a place to purchase essential food items. While traditional markets can attract tourists, it is crucial to prioritize the preferences of the local community.
Narrative-Driven Optimization for Sustainable Museum Networks: Integrating Freytag’s Pyramid and Hybrid PSO-Machine Learning Framework Luki Safriana; Nurhayati; Widiyani; Didik Suharjito
Advance Sustainable Science Engineering and Technology Vol. 7 No. 4 (2025): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i4.1954

Abstract

This study addresses sustainable urban heritage management needs through an AI-optimized methodology for Government-Museum networks. Integrating dramaturgical storytelling with computational intelligence, we develop a framework combining Freytag's Pyramid narrative framework with a hybrid Particle Swarm Optimization (PSO)-Machine Learning (ML) model. This sustainability-driven design aligns spatial routing with low-carbon objectives and thematic continuity, enhancing tourist itineraries while reducing environmental impact. Our model integrates GIS analysis of museum connectivity, accessibility criteria, and emissions indicators. Validated via Orange ML, the PSO-ML model achieves route optimization by minimizing distance, time, and CO₂ emissions. Results demonstrate significantly reduced travel distances/emissions and improved narrative coherence. The paradigm advances geographical justice, operational efficiency, and AI-mobility systems in promoting urban sustainability.
Pengembangan dan Validasi Metode Pengukuran Preferensi dan Pola Aktivitas Ruang Terbuka Sebelum dan Setelah Pandemi di Kampus ITB Ganesha Firmansyah; Kusuma, Bintang Nidia; Allo, Ira Prayuni Rante; Triningsih, Endang; Widiyani
Jurnal Lanskap Indonesia Vol. 17 No. 2 (2025): Jurnal Lanskap Indonesia
Publisher : http://arl-faperta.ipb.ac.id/

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jli.v17i2.61884

Abstract

Campus open spaces play an important role in supporting social interaction and creating an integrated campus environment. Their provision is adjusted to the function and needs of students for outdoor spaces. This study aims to develop a method used to measure student preferences and activity patterns in utilizing campus open spaces. This study focuses on the development and validation of methods for measuring student preferences and activity patterns in campus open spaces through the design of a questionnaire as a measurement instrument, in order to obtain results that can represent the overall pattern of campus open space utilization. The data used in the design and preparation of this questionnaire are the factors and indicators that form campus open spaces, which have been identified in previous studies. Data were collected through the distribution of questionnaires, to be analyzed using statistical tests in the next stage. Statistical tests were conducted to test the correlation between the function of open spaces, factors, and indicators of campus open spaces with the landscape elements that form them. Through this statistical test, elements that have a significant correlation in creating campus open spaces that are in accordance with student preferences can be identified. The results of this study include the methods used for data collection that can later be used in statistical tests, in order to gain further insight into the preferences and patterns of campus open space utilization by students.