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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) STI Policy and Management Journal Tropical Aquatic and Soil Pollution Buitenzorg: Journal of Tropical Science
Riska Ayu Purnamasari
Department of Soil Science, Faculty of Agriculture, Universitas Gadjah Mada, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Education Engineering Environmental Science Health Professions Materials Science & Nanotechnology Physics

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Analysis of Obstacles For Mangosteen Agro-Industry Revitalization In Karacak Agropolitan Area, Indonesia: An Interpretive Structural Modeling Approach Oryzanti, Parwa; Wardah, Wardah; Setiawan, Marwan; Purnamasari, Riska Ayu; Kusumawaty, Rini; Purwaningsih, Ratna; Rustiadi, Ernan
STI Policy and Management Journal Vol 9, No 1 (2024): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2024.381

Abstract

This study aims to identify and propose solutions to the obstacles faced in the study of Karacak Agropolitan Revitalization based on Mangosteen agroindustry in Bogor Regency as outlined in a structural model. The revitalization of agro-industry-based agropolitan areas is studied through science, technology, and innovation which are then formulated and analyzed with the Interpretive Structural Modeling Method. Primary data were collected through expert-based surveys and questionnaires from seven relevant and representative government agencies to formulate policy studies. This research resulted in a study of 9 sub-elements of constraints and found 1 key sub-element, arrange hierarchically based on its importance. At the most critical level, we identified the government's political will towards agro-industrial development incentives and disincentive programs in agropolitan areas. This study recommends the government start an integrated agropolitan area revitalization program by utilizing local biological resources. The systems model approach will facilitate sustainable development at the village level, promoting inclusive economic growth and resilience. Keywords: Agropolitan, Barriers, Interpretive Structure Modeling, Mangosteen Agroindustry.
Utilization of Endemic Fruits in Efforts to Conserve Genetic Resources in Jayapura District Mariana Ondikeleuw; Bau Mene; Merlin K. Rumbarar; M. Nikmatulah; Klementin Fairyo; Sonya M. Kawer; Edoward Krisson Raunsay; Fenky Marsandi; Riska Ayu Purnamasari
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.9143

Abstract

Papua is known as an island rich in plant diversity and potential fauna. The problems encountered are that not all types of genetic resources have been explored and identified, limited guidance on the characterization of local plants and some of them are also starting to be difficult to find, especially species that experience rarity and lead to extinction. This study aims to explore and introduce the potential of typical Papuan fruit plants so that it is useful for policymakers for the development of typical fruit plants in the future as a food reserve source of vitamins, and minerals. The location was determined based on where typical fruit plants grow in Papua Province. Data collected include socio-cultural data (local wisdom), its contribution to the economy of farmer households, and growing environment data. The research method used was descriptive exploration, to be able to document community knowledge about the management of typical fruit germplasm requires appropriate information gathering and careful and in-depth study. Information was taken in the yard and land outside the yard/farmer's garden. Activities were carried out from March to December 2019 in Jayapura district. Local plants include fruit plants endemic to the local community, which have been used for generations by the local community.
Evaluasi kesesuaian lahan untuk budidaya tebu berdasarkan sistem zonasi agroekologi di Jawa Timur, Indonesia Riska Ayu Purnamasari
Buitenzorg: Journal of Tropical Science Vol 1 No 2 (2024): Buitenzorg: Journal of Tropical Science
Publisher : Innovation Centre for Tropical Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70158/buitenzorg.v1i2.12

Abstract

Agroecological zoning system is essential to accelerate the production of plantation crops such as sugarcane. This is a tool that helps to identify the most suitable areas for growing specific crops based on the physical and biological characteristics of the land. The ideal conditions for sugarcane growth can be achieved from optimal planting land conditions and adequate climate and fertilization. Land use planning is key to the sustainability of plantation crops in Indonesia. In this study, we used land suitability evaluation for sugarcane cultivation using an agroecological zoning system. Multisource of suitability criteria was used from the thematic map that included the land use/land cover map, slope map, rainfall map, and soil type map as physical and biological characteristics of the land. On the land suitability map for sugarcane cultivation, the results are in the form of land area that was adjusted to the Food and Agriculture Organization indicators regarding land suitability class. We found that 23.20% of the area (11,149.49 km2) was very suitable for sugarcane cultivation, 30.18% (14,499.67 km2) was moderately suitable, 36.05% (17,321.71 km2) was marginally suitable, and 10.55% (5,068.25 km2) was not suitable for sugarcane plantation. In this study, it was found that around 1,114,949 ha of land in East Java had the potential to become sugarcane plantations based on the agroecological zoning system. This research recommended that the integrated approach of Geographic Information Systems (GIS) with satellite remote sensing vegetation datasets utilization might help to develop the site-specific management of sugarcane plantations.   Keywords: agroecological zone, land suitability, mapping, remote sensing, sugarcane.
Land Degradation Detection in Urban Areas Using Spatial Modelling and Semi-Automatic Classification of Satellite Imagery Data Purnamasari, Riska Ayu; Setiawan, Marwan; Wardah, Wardah
Tropical Aquatic and Soil Pollution Volume 5 - Issue 2 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/tasp.v5i2.775

Abstract

Urban land degradation poses a growing challenge in rapidly developing countries like Indonesia, where population growth and limited space drive uncontrolled land cover changes. This study aims to detect land degradation in urban areas through spatial modelling and semi-automatic classification of multi-temporal remote sensing imagery. Landsat-5 Thematic Mapper (TM) image from year 2011 and Landsat-9 Operational Land Imager collection 2 (OLI-2) image from year 2023 data were acquired from the The United States Geological Survey (USGS). Image pre-processing included band stacking, subsetting, and enhancement to improve visual interpretation. Semi-automatic supervised classification was applied to map seven land cover classes: agricultural dry land, rice field, forest, plantation, non-agricultural land, water body, and settlement. Training data and validation were supported by Google Earth Pro, official sources, and field surveys using random sampling. Change detection analysis revealed a 1664.65 ha increase in industrial areas, accompanied by significant reductions in rice fields (−1726.92 ha) and dry farmland (−1644.57 ha). The classification accuracy reached 80.24% and 75.11%, with kappa coefficients of 0.76 and 0.65, respectively. Results indicate that urban expansion is a key driver of land degradation, particularly through the loss of productive agricultural land. This research demonstrates the effectiveness of remote sensing-based spatial modelling and classification techniques for monitoring urban land degradation and informing sustainable land use planning.
Co-Authors Bau Mene Edoward Krisson Raunsay Ernan Rustiadi Fenky Marsandi Klementin Fairyo Kusumawaty, Rini M. Nikmatulah Mariana Ondikeleuw Merlin K. Rumbarar Oryzanti, Parwa Ratna Purwaningsih Setiawan, Marwan Sonya M. Kawer Wardah Wardah