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Agropolitan Tourism Village Strategies Based on SWOT Analysis Ida Nuraida; Bambang Sugiharto; Yuwana Marjuka
Petra International Journal of Business Studies Vol. 6 No. 2 (2023): DECEMBER 2023
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.6.2.226-236

Abstract

Despite its rich potentials, agritourism in West Bandung regency has been stuck in the status quo and needs new ideas. The farmers are struggling on their own with minimal support from the government, the uniqueness of their local culture has never been exposed, and the infrastructure is poor. The concept of ‘agropolitan’ is one of the best possibilities to implement. The aim of this research is to create an agropolitan strategy that that is workable based on the analysis of strengths, weaknesses, opportunities, and threats (SWOT analysis). The research objects were 15 micro-scale community-based agritourism farmers and 5 agritourism MSMEs. This research used qualitative methodology with in-depth interviews and field observations. The research came up with a strategy that requires the materialization of the following items: Agropolitan promotion centers will prepare a central tourism information system, one stop shopping packages, parking lots, and tour transportation. Agropolitan stakeholders will need to improve service quality, increase collaboration and provide employment. Whereas the local governments will have to provide support for facilities, infrastructure, regulations, signage and gates. All this will be able to increase promotion and empower MSMEs. If implemented, this will be able to revitalize agritourism much better.
Visual Repetition and Quantitative Descriptive Analysis of Visual Discourse in Environmental Activism Posters: The Work of Nobodycorp.org in the Bali Rejects Benoa Bay Reclamation I Gusti Ngurah Tri Marutama; Bambang Sunarto; Bambang Sugiharto
INJECT (Interdisciplinary Journal of Communication) Vol. 11 No. 1 (2026)
Publisher : FAKULTAS DAKWAH UIN SALATIGA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/inject.v11i1.6513

Abstract

This article examines twelve environmental activism posters from the "Bali Rejects Benoa Bay Reclamation" campaign (2014–2018) produced by Nobodycorp.org as a limited visual corpus within the communication system of the ForBALI movement. This study establishes the corpus as an object of analysis through scope limitation to maintain analytical rigor. This analysis integrates descriptive-quantitative mapping with critical discourse analysis through the tracking of visual relations, thereby structurally identifying ideological meanings. This procedure applies quantitative visual discourse methods through frequency distribution and co-occurrence networks, systematically detecting dominant elements. These findings indicate the red color system, the black color system, and the excavator image as the main elements, with the excavator appearing in 91.7% of the data. This analysis shows a relational intensity between the excavator and the red color of 0.92, and between the excavator and the black color of 0.74, thus forming a stable pattern of visual interconnection. These results demonstrate the stabilization of visual meaning through repeated relational grouping, so that signification does not depend on isolated symbolic units. This research formulates an operational model of visual meaning based on measurable relations through limited generalization, allowing visual communication studies to obtain replicable analytical instruments. This analysis shows the formation of ideological coherence through systematic visual organization, thereby articulating the framework of ecological conflict consistently. This analysis shows peripheral elements as low-connectivity components through relational measurement, thereby forming a structured asymmetry in the representation system. This research limits the analysis to a single producer corpus through data delimitation, so broad generalizations and reception dynamics are not covered.