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All Journal JPG (Jurnal Pendidikan Geografi) International remote sensing application journal
Wikan Jaya Prihantarto
Remote Sensing and Geographic Information System, Vocational School, Universitas Negeri Padang
Astronomy Computer Science & IT Earth & Planetary Sciences Education

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Compling a Database of Agricultural Potential of Nagari Air Manggis Selatan Through Crowdsourching-Based Participatory Mapping Muhammad Ismail; Wikan Jaya Prihantarto; Bayu Wijayanto; Sari Nova; Elisa Maiyenti; Hendry Frananda; Yusra Aprila Putri; Mutiara Amelia Putri
JPG (Jurnal Pendidikan Geografi) Vol 13, No 1 (2026)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jpg.v13i1.22149

Abstract

Geospatial data and information can be used for potential of villages. Apart from that, village must have data also on the potential of its main area for sectors that are dominant and support the local economy. Based on these problems, it is very important to pay attention to the provision of a spatial database in the form of the potential of the dominant productive sector. Nagari Air Manggis Selatan, Lubuk Sikaping District, Pasaman Regency has large resource potential, one of which is agriculture. However, until now there is no representative data regarding the spatial distribution and extent of agricultural land in the village. Currently, technology is developing rapidly, everyone to contribute voluntarily. This has the potential to be developed to increase technological independence, information and regional development. The aim of this research is to provide assistance to the community in carrying out data collection, building a database, and publishing agricultural potential data independently based on crowdsourching. The activity began with socialization and a focus group discussion to formulate relevant agricultural potential information. Assistance to the community is provided to map agricultural land in a participatory. Utilization of digital forms to update agricultural potential data is also carried out. The collected data is managed in a cloud database and displayed in Web-GIS
THE MAPPING OF TEA HARVESTING AREA USING PLANETSCOPE IMAGERY Wikan Jaya Prihantarto; Muhammad Ismail; Eva Purnamasari; Kurnia Anggraini; Erisa Ayu Waspadi Putri; Hendry Frananda; Indah Setiawati
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.95

Abstract

The identification of tea harvesting areas is an important part of tea culture. The use of satellite imagery for this application offers effectiveness. PlanetScope imagery has the advantage of high spatial, spectral, and temporal resolution and is widely used in agricultural and plantation studies. The objective of this study was to map tea pruning areas in the Danau Kembar Tea Plantation, Solok Regency, West Sumatra, using PlanetScope imagery. The images underwent radiometric, geometric correction and were then analyzed spectrally using the Normalized Difference Vegetation Index (NDVI) to obtain tea vegetation density classes. The image map resulting from this classification was used to identify the spatial distribution of harvesting and non-harvesting areas. The mapping results were validated by field surveys, and accuracy calculations were performed using the confusion matrix method. The findings showed that 250.50 hectares or 90.37% of the study area, are harvesting areas, with mapping accuracy reaching 84.0%. This study can provide an important reference for monitoring plantation land management, production estimation, and tea harvesting.
Co-Authors Bayu Wijayanto Elisa Maiyenti Erisa Ayu Waspadi Putri Eva Purnamasari Hendry Frananda Hendry Frananda, Hendry Indah Setiawati Kurnia Anggraini Muhammad Ismail Muhammad Ismail Mutiara Amelia Putri Sari Nova Yusra Aprila Putri