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Web-Based Geographic Information System to Find Viral Culinary Tourist Spots Supiyandi, Supiyandi; Binti Mailok, Ramlah
International Journal of Advances in Data and Information Systems Vol. 5 No. 2 (2024): October 2024 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v5i2.1343

Abstract

The development and implementation of a Web-Based Geographic Information System (GIS) designed to help users discover viral culinary tourist spots, focusing on promoting local food culture. The system is built using the PHP programming language, leveraging its robust server-side scripting capabilities for dynamic web development. The GIS platform integrates various functionalities, including real-time mapping, geolocation services, and user-generated content, to offer an interactive experience for tourists. The platform allows users to search for culinary hotspots, view their locations on an interactive map, get directions, and read reviews from other users. Business owners can register and update information about their culinary spots, contributing to an up-to-date, community-driven database. The system employs a MySQL database to store location data, user profiles, and reviews, while Google Maps API is used for map visualization and geolocation services. The backend structure is built to handle high-traffic environments, using PHP's object-oriented features for efficient and scalable code management. Administrators can moderate content, ensuring the reliability and quality of the information provided. Implementing this system in PHP highlights the language’s flexibility in creating web-based GIS platforms, demonstrating how culinary tourism can be enhanced through modern web technologies. This paper discusses the technical aspects of the system’s architecture, database management, and frontend-backend integration, offering insights into the benefits of using PHP for developing similar GIS applications.
Data Analysis Utilization of Land Use Land Cover Investigates Spatiotemporal Trends and Their Effects on Ecosystems Supiyandi, Supiyandi; Binti Mailok, Ramlah
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.13

Abstract

Land use and land cover (LULC) have become a principal catalyst of ecological transformation, significantly affecting biodiversity, ecosystem services, and climate systems. Since 1960, anthropogenic activities such as urbanization, deforestation, and agricultural expansion have transformed more than 32% of the Earth’s surface, threatening ecological stability. In Batubara District, North Sumatra Province, Indonesia, rapid land-use transformations have raised concerns about environmental sustainability. This study aims to analyze the spatiotemporal patterns of LULC and evaluate their impacts on ecosystems in Batubara District, providing insights for sustainable land management and policy formulation. A quantitative approach was employed, utilizing remote sensing data from Landsat and Sentinel satellites, and integrated with GIS tools. Regression and sensitivity analyses were conducted to identify drivers of land use change and assess potential policy scenarios. A stratified random sample ensured representation across various land use types. The findings reveal significant land conversion driven by population growth and resource extraction, resulting in habitat fragmentation, reduced carbon sequestration capacity, and disruption of hydrological cycles. Urban expansion and deforestation were identified as major contributors to declining ecological connectivity and biodiversity loss. Sensitivity analysis further highlighted that inconsistent land management policies and climate variability hinder effective environmental planning and predictive modeling. This study highlights the pressing necessity for integration and adaptive land-use planning that incorporates spatiotemporal data and policy frameworks. The results provide actionable knowledge to support biodiversity conservation, enhance climate resilience, and promote sustainable development in rapidly transforming landscapes, such as Batubara District.