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INFORMATION SYSTEM DESIGN SELECTION OF LOCATION-BASEDLANDSCAPE PLANTS IN BADUNG REGENCY, BALI, INDONESIA

Authors: I. Made Agus Dharmadiatmika, Naniek Kohdrata and Keswari Krisnandika;

INFORMATION SYSTEM DESIGN SELECTION OF LOCATION-BASEDLANDSCAPE PLANTS IN BADUNG REGENCY, BALI, INDONESIA

Abstract

Plants have an important role, especially at this time where people cannot do normal activities due to the Covid situation. Plants can reduce stress caused by this pandemic. Demand for plants, especially landscape plants has increased in the midst of the Covid-19 pandemic situation in Denpasar by 80%. However, not all people understand the selection of plants that are appropriate with the conditions of their yard/planting area. The conditions referred to plant ecology, plant habitus, plant characters and functions to be achieved by the user. Therefore, to facilitate the selection of plants based on the conditions, a site-specific database was compiled to be inputted into applications that can be accessed by the general public. The preparation of this database is carried out gradually starting with Badung Regency. The results obtained parameters for landscape plant growth, including land type and topography, land slope level, rainfall and plant water requirements, light needs, land use and landscape plant functions. The types of landscape plants that were processed amounted to 50 species in Petang District and 60 species in South Kuta District. The system design that is made begins with the preparation of data flow designs, data preparation in the form of plant types and plant parameters, data grouping, data implementation and lay-outing, and system testing. The system design uses two ways of searching for data, namely by searching for data based on geographic/location that the user wants to choose and searching for data based on keywords (plant names, plant characters, and plant functions in the landscape).

Keywords

Web Application GIS Mobile Landscape Plant Badung Regency

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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