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UTILIZATION OF SENTINEL-2 IMAGES FOR MAPPING THE CORAL REEF AREA IN THE CONSERVATION AREA OF PIEH ISLAND WATERS 2022 Amatullah, Ulfi Rahmi; Febriandi, Febriandi; Ernawati, Ernawati; Arif, Dian Adhetya
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.v5i2.63

Abstract

Coral reefs are known as complex and productive shallow tropical marine ecosystems. They serve as a habitat for various species of marine plants, marine animals, and marine microorganisms. The deterioration of coral reefs threatens the survival of this shallow marine ecosystem. Mapping the distribution of coral reefs using remote sensing technology is a crucial instrument in the effort to monitor and protect coral reefs while preserving the marine environment. This research aims to map and measure the extent of coral reefs in the Pieh Islands Marine Conservation Area in 2022. In this study, we used Sentinel-2 imagery from 2022 and applied the Object-Based Image Analysis (OBIA) method to detect the extent of coral reefs. Sentinel-2 imagery was processed using ArcGIS and eCognition software, involving atmospheric correction, image clipping, image compositing, segmentation, image classification, and accuracy testing. The data processing results indicate that coral reefs are distributed around the waters of Pieh Islands, with the highest density located to the south of Pieh Islands's waters. The total extent of detected coral reefs in this study is 15.76 hectares. The use of Sentinel-2 imagery with the OBIA method has proven to be effective in detecting the extent of coral reefs in the Pieh Islands Marine Conservation Area.
USE OF MEDIUM RESOLUTION IMAGERY FOR PREDICTION MAPPING OF LAND COVER CHANGES IN SOLOK DISTRICT Sari, Yolanda Indah Permata; Fitriawan, Dedy; Antomi, Yudi; Arif, Dian Adhetya
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.v5i2.65

Abstract

This research aims to determine changes in land cover from 2017-2022 in Solok Regency, to find out predictions of changes in land cover until 2032 in Solok Regency, to find out the results of land cover accuracy tests in Solok Regency. This research uses the Supervised (Maximum Likelihood) method to identify changes in land cover in Solok Regency in 2017 and 2022. This research was carried out in several stages, namely the preprocessing stage including radiometric and atmospheric correction, image cropping according to the research area. The processing stage uses the Supervised (Maximum Likelihood) method to determine the classification, then creating a land cover change identification matrix, creating sample points in the field, accuracy testing, and finally making predictions using the Cellular Automata model to predict land cover in 2032. Identification results in areas there was a change in land cover from 2012 to 2017 to 2022, land cover that changed, namely primary forest in 2012 to 2017 experienced a change in 2022 to 206,362.04ha, built-up land also experienced an area change of 3,162.37ha, followed by open land experiencing changes 283.98ha, mixed plantation land experienced a change of 78,176.71ha, wetland farming experienced a change of 12,751.07ha and dry land farming experienced a change of 20,707.08ha in 2022. Then the results of land cover predictions in 2032 are forest land area primary area in Solok Regency changed to 207,382.99ha, while the area of ​​water bodies changed to 6,889.05ha, then built-up land experienced a change of 3,288.13ha, then open land cover changed to 77,912.95ha, then mixed plantation cover changed to 13,248.51 , in wetland agriculture it changed to 13,248.51ha and dryland agriculture to 19,164.11ha.
Study on the Development of Livable Settlement Areas in Tsunami Safe Areas in Padang City Azani, Fadli Haikhal; Arif, Dian Adhetya
JURNAL BUANA Vol 9 No 3 (2025)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol9-iss3/3933

Abstract

The city of Padang is one of the areas that has a high level of vulnerability to tsunami disasters. People can anticipate tsunamis, one of which is by building houses in a tsunami safe zone, but before many people do this anticipation, it is best to test the habitability of the settlement. The aim of this research is to find out habitable settlements in the tsunami safe zone of Padang City. This research uses a quantitative descriptive method by utilizing the Geographic Information System through a weighting and scoring method for each indicator. The results of the analysis show that there are 5 classes of vulnerability with a very low level of vulnerability dominating 43,089 Ha or 64.62%, in settlements in accordance with the Padang City Regional Spatial Plan, counting 11 sub-districts with livable settlements in accordance with the results obtained through weight calculations and scoring in each indicator is 2,635 Ha or around 23.87% of the total settlements in the Padang City Regional Spatial Planning Plan.
Pembuatan Peta Timbul Sebagai Media Pembelajaran Geografi: Making Embossed Maps as Learning Media for Geography Chandra, Deded; Wilis, Ratna; Frananda, Hendry; Rahmi, Lailatur; Arif, Dian Adhetya; Wijayanto, Bayu; Putra, Aprizon
Pedagogia : Jurnal Pendidikan Vol. 8 No. 2 (2019): August
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pedagogia.v8i2.2139

Abstract

This article aims to improve the ability of teachers and students to make media maps arise and improve teacher understanding and ability in terms of understanding pedagogical aspects that can be seen from the process of designing a Learning Implementation Plan (LIP) especially in terms of choosing a model or learning method. This activity was held at SMAN 2 using training methods, question and answer, and practice. In accordance with the objectives of the implementation of the activity, it is expected that teachers and students have an increased ability in terms of mastery to make map media arise. Then the teacher can also improve the teacher's understanding/ability in terms of understanding pedagogical aspects that can be seen from the process of designing the LIP especially in terms of choosing a learning model. By carrying out training to improve teacher skills in developing learning media, Geography Teachers are expected to have sufficient competence in terms of designing and utilizing media so that quality learning is created.
UTILIZING GOOGLE EARTH ENGINE FOR FLOOD-PRONE AREAS USING THE THRESHOLD METHOD IN PASAMAN REGENCY, WEST SUMATRA PROVINCE: English Q-to Paguno, Ananda; Arif, Dian Adhetya; Edial, Helfia; Purnamasari, Eva
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.v6i2.84

Abstract

This study aims to utilize Google Earth Engine and Sentinel-1 image data to map flood areas using the Threshold method, which is expected to provide accurate information to support flood mitigation and management in the Pasaman region. This study also aims to determine the results of the area affected by disaster-prone areas. Based on the results of the study, researchers have obtained a flood hazard map in 2024 in Pasaman Regency by processing Sentinel-1 image data using the Threshold algorithm which has produced an area in the Vulnerable classification with an area of ​​4,225 Ha, a Moderately Vulnerable classification with an area of ​​9,102 Ha and a Safe classification of 3,818 Ha for Pasaman Regency. From the results of data processing for the flood hazard map in Pasaman Regency, it can be concluded that in 2024 Pasaman Regency experienced quite vulnerable floods.
Spatial models of rice fields change and sustainable agriculture in Solok District, West Sumatra Province Umar, Iswandi; Arif, Dian Adhetya
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.4875

Abstract

Indonesia is an agricultural country and one of the world's rice-producing countries. However, the increase in population has pushed for the conversion of agricultural land to non-agricultural purposes. Solok is a district with the largest paddy field area in West Sumatra. Yet, the increase in population has resulted in a decrease in paddy fields every year. This study aimed to determine the model for changing the area of paddy fields for the 2000-2020 period and determine the direction of sustainable agricultural policies. In defining the paddy field change model, this research uses the input data from the interpretation of 2000 Landsat 5 imagery, 2010 Landsat 7 imagery, and 2020 Landsat Oli 8 imagery. The data were analyzed using a geographic information system (GIS). This research employed the Powersim Software with a system dynamics approach in projecting rice production and demand. This research used Interpretative Structural Modeling (ISM) analysis to determine the direction of sustainable food policy. The results showed that there had been a conversion of 13,801.6 hectares of paddy agricultural land into a built-up area in the 2000-2020 period in Solok District. In 2020, Solok District supplied 2,838 thousand tons of rice, while the demand for rice was 446.3 thousand tons. In the direction of the sustainable agriculture policy, there are three key sub-elements; tightening land use permits, establishing and implementing spatial planning regulations, and consistency in enforcing spatial planning violation laws.