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All Journal Journal of Applied Geospatial Information Sumatra Journal of Disaster, Geography and Geography Education Jurnal Geografi JURNAL BUANA Diseminasi : Jurnal Pengabdian kepada Masyarakat International Journal of Tourism, Haritage and Sport Recreation Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat International remote sensing application journal Jurnal Buana JURNAL BUANA
Syahar, fitriana
Universitas Negeri Padang
Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Physics Social Sciences Other

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Journal : International remote sensing application journal

 1 
DETERMINATION OF TH DYNAMICS OF THE FIELD AREA WITH FOOD SUPPORTUSING REMOTE SENSING IN SOLOK DISTRICT Teguh Trivo Maulana; Fitriana Syahar
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.165 KB) | DOI: 10.24036/irsaj.v3i2.34

Abstract

The availability of carrying capacity of food in an area is closely related to the availability of sufficient agricultural rice fields, from both sides they are very mutually supportive, so if the area of agricultural land is in an area, the availability of food in the area will also help reduce this problem. will have an impact on the food-carrying capacity of the people in the region. This study uses a quantitative descriptive approach using a supervised classification method using the SNI 7645 Classification. The data required are Landsat images from 2000, 2010 and 2020 . The data obtained from the results of image data processing is the occurrence of changes in the area of rice fields in Solok Regency in 2000, 2010 and 2020, where in 2000 the area of rice fields was 90,344, in 2010 the area of rice fields again was 80,452Ha, and in 2020 the area of rice fields continues to decrease to 75,750 Ha.
THE ROLE OF REMOTE SENSING AND SIG DATA FOR MAPPING LAND PRICE ESTIMATION IN PAYAKUMBUH CITY Ramanda, Risa; Syahar, Fitriana; Antomi, Yudi; Ramadhan, Risky
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.49

Abstract

Land is a field that has a strategic role in the development of an urban area, land located in a strategic location of economic activity, easy accessibility, and complete infrastructure can be said that the land has a high land price. Factors that influence land prices in urban areas are increasing population, land change, and regional development. Payakumbuh City is a city that is strategically located and close to the city center, has complete public facilities, adequate road access, proximity of land to economic areas, and urban development and buildings affect land prices in Payakumbuh City. The research objectives (1) identify factors that affect land prices in Payakumbuh City (2) analyze the spatial distribution of land price estimates in Payakumbuh City. The research method to determine land price estimation is the overlay and weighting method. The parameters used in this study are land use using Pleiades imagery, land accessibility, and completeness of public facilities. Based on the results of the research, the factors that affect land prices in Payakumbuh City are land use that is closer to the city center will be more expensive, land accessibility that facilitates road access, and completeness of public facilities. Based on the results of data processing, it is found that there are 4 classes of land price estimation in Payakumbuh City, namely the very high class has a price of Rp. 5,000,000.00 - Rp. 10,000,000.00, the high class has a land price of Rp. 2,000,000.00 - Rp. 5,000,000.00, the medium class has a land price of Rp. 1,000,000.00 - Rp. 2,000,000.00, and the low class has a land price of Rp. 200,000.00 - Rp. 500,000.00.
LAND COVER CLASSIFICATION WITH OBIA METHOD (OBJECT BASED IMAGE ANALYSIS) IN PADANGWEST DISTRICT, PADANG CITY Salsabila, Rania; Putri, Sri Kandi; Syahar, Fitriana; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.50

Abstract

High population growth has an impact on the development of a region. Therefore, the need for the latest information regarding land cover obtained through data processing using remote sensing techniques. This land cover monitoring utilizes object-based SPOT 7 satellite imagery data (OBIA) in West Padang District, Padang City. This research was conducted with the aim of knowing the level of accuracy of the OBIA method in land cover classification on SPOT 7 Imagery. The OBIA method consists of two stages, namely segmentation and classification with the Train Maximum Likelihood Classifier algorithm. In this study, there were 10 land cover classifications and resulted in an overall accuracy of 95% and a kappa accuracy of 94%.
MAPPING OF LAND USE CHANGES AND ALIGNMENT OF SPATIAL PATTERN PLANS IN PADANG CITY Delta, Yusran Rizky Ananda; Ismail, Muhammad; Syahar, Fitriana; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.64

Abstract

Changes in land use in accordance with spatial pattern plans are a challenge for the government as the population in an area increases, resulting in increased land requirements. This greatly influences the spatial pattern plans that have been planned previously. These land use changes can be obtained from Remote Sensing data which has the advantage and ease of obtaining land use information. This research uses Sentinel-2A satellite image data for 2017 and 2023. The objectives of this research are (1) To determine the ability of Sentinel-2A imagery to interpret land use (2) To determine changes in land use in 2017 and 2023 (3) To find out the alignment of land use identification with the Padang City spatial pattern plan. The method used in this research is a quantitative method with an approach spatial (spatial approach). The method used for land use classification is the manual digitization method (on screen) and land use area calculation using the Geometry Calculator tool in ArcGIS 10.6.1 software. The research results show the ability of Sentinel-2A imagery to produce 15 land uses, namely highland forest, residential/mixed buildings, rivers, cultivated open land, rice fields, dry land seasonal crops, bushes and thickets, mining, runways, ports, buildings industry and trade, grass, mangrove forests, savannas and stretches of coastal sand. In a period of 5 years there were 13 land uses that experienced changes, namely highland forests, residential/mixed buildings, open cultivated land, bushes and shrubs, mining, industrial/commerce buildings, dry land seasonal crops, rice fields, mangrove forests, stretches of beach sand and grass. The harmony between the land use of Padang City and the Padang City Spatial Pattern Plan is dominated by harmony, but there are also those which are not in harmony, namely highland forests, residential/mixed buildings, rice fields, dry land annual crops and mining.
Co-Authors ahyuni . ahyuni aziz Dedy Fitriawan Dela Oktaviani Chandra Delta, Yusran Rizky Ananda Dewi Ramadhan Dilla Atika Febyani, Tiara Khofifah fendi, Elfi Ef Fikri Hidayatullah Heriani Heriani leviana winarti m roli Melda Latifah Hanum mentari tari Misrida aini Muhammad Ismail nanda elsyana mutia Pasaribu, Maria Rosaria Putri, Sri Kandi Rahmanelli Rahmanelli Ramadhan, Risky Ramanda, Akbar Ramanda, Risa reshy novaria putri Retnaningtyas Susanti Retnaningtyas Susanti Ririn Aurelia N Ririn Aurelia N riska riska afifa rizkamdial aris Robbi Indra Kelana Salsabila, Rania sapriyelni yel sapriyelni sari, rika reskika Sartini Sartini Siti Naila Tassa Ghuba Afti Sri Bening Pratiwi Surtani Surtani Teguh Trivo Maulana Tiofani Setia Yusman Triyatno Triyatno Verliando, Weriza WARDANA, HADIA Widya Rahmawati Yudi Antomi Yulfa, Arie Yurni Suasti