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Analisis Potensi Bahaya Alkalinitas dan Salinitas pada Mata Air untuk Kebutuhan Air Irigasi di Kota Batu Pranantya, Vanadani; Kartikasari, Adelia Nur Isna; Ardiansyah, Ahmad Farid; Kaffa, Niswah Selmi
Jurnal Kridatama Sains dan Teknologi Vol 6 No 02 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v6i02.1359

Abstract

Batu City is an area with abundant water spring potential. Springs are an essential part of the air supply for human domestic needs, industrial activities, and agricultural irrigation activities. Springs in Batu City are mostly used as irrigation water sources, where 15 springs spread across three sub-districts that cover Bumiaji District, Batu District, Junrejo District in Batu City use springs as irrigation water sources. The use of springs as a source of irrigation water, in addition to being considered based on quantity, also needs to be considered for its quality. The quality of water irrigation can be reviewed based on the potential alkalinity hazard (SAR) and potential salinity hazard (EC) values. The values of SAR and EC are explained using the Wilcox Graph. There are 15 springs in Batu City that have EC values in the range of 297.2 µS/cm – 748.3 µS/cm and are classified into Class C2 or moderate salinity hazard potential and SAR in the range of 0.0068 – 0.0294 included in the Class S1 classification or low alkalinity hazard potential. The results of the Wilcox Graph analysis show that the water quality of the 15 springs is in Class C2 – S1 with low alkalinity hazard potential and moderate salinity hazard potential. The results of the Wilcox Graph show that the 15 springs in Batu City that are used as irrigation sources are suitable for use as sources of water irrigation
Flood Disaster Mitigation Strategy due to Land Cover Change in Kalijompo Sub-watershed Kartikasari, Adelia Nur Isna; Muttaqin, Dai Agus; Derka, Icha Tatrisya; Pranantya, Vanadani; Robbani, Hilma Wasilah
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.01.4

Abstract

Kalijompo sub-watershed is included in the Bedadung watershed of Jember Regency. Bedadung watershed is the largest watershed in Jember, and it has a land cover change. One of the factors influencing land cover change is forest fires, which cause a significant reduction in forest area. The significantly reduced forest area will impact increasing river discharge and result in flooding downstream. The downstream of Kalijompo is located in the city center of Jember, which has a dense residential area. Therefore, it is necessary to conduct a flood mitigation strategy. This research aims to assess flood risk and ideal land cover management so that this research can be used as a basis for designing flood disaster mitigation strategies due to land use change. The Soil Water Assessment Tool application models the flood response to land cover and determines sub-watersheds that contribute highly to watershed damage. The flood response model was used as the basis for simulation by creating several land cover scenarios to find the appropriate and optimal land use. Flood risk assessment was obtained by combining the components of flood hazard and vulnerability. Flood mitigation strategies were derived from the land use scenarios complemented by Strengths, Weaknesses, Opportunities, and Threats analysis to identify various factors. The results showed that Kalijompo contributed significantly to watershed damage, and 21.93% of the Kalijompo area was at a high flood risk level. One of the mitigation strategies is managing forest land use, which should be 30% of the total Bedadung watershed area.
Land Cover Projection of Jember Irrigation Area Using MOLUSCE QGIS Kartikasari, Adelia Nur Isna; Prasojo, Sri Irawan Laras; Robbani, Hilma Wasilah; Kaffa, Niswah Selmi
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.8071

Abstract

Jember Regency has the third largest agricultural area in East Java Province. However, the agricultural area has decreased due to the expansion of built-up areas in line with population growth. This indicates the need for special attention to controlling the expansion of built-up land in Jember Regency. This study focuses on predicting agricultural land loss and the increase in built-up land in Jember Regency. It examines land cover changes in the regency from 2017 to 2021. Sentinel-2 imagery was used to obtain land cover data for Jember Regency in 2017 and 2021. The 2017 and 2021 land cover maps will serve as reference maps to determine the 2025 land cover using the MOLUSCE plugin in QGIS. The obtained 2025 land cover map will be used to validate the model's accuracy by comparing it with the actual 2025 land cover using Kappa Accuracy. This model's Kappa Accuracy is 91%. The validated model will then be used to predict land cover for 2045. The analysis indicates a predicted reduction in agricultural area of 5.675 hectares and a predicted increase in built-up area in irrigated areas of 6.348 hectares during the 2025–2045 period. Over the next 20 years, irrigation areas under the authority of the regency are predicted to experience the highest growth in built-up land, at 46.1%. This is followed by areas under provincial authority, which are predicted to grow by 34.6%, and areas under central authority, which are predicted to grow by 110% of the total agricultural area in Jember Regency. These findings are important for local governments and stakeholders in land management and urban planning. They also contribute to the monitoring of agricultural land use and the development of effective policy strategies.
Simulation of Tidal Inundation along the Northern Coast of Central Java (Pantura) Using GIS-Based Analysis Robbani, Hilma; Kartikasari, Adelia Nur Isna; Pranantya, Vanadani; Kaffa, Niswah Selmi
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.7807

Abstract

The northern coast of Java Island (locally known as Pantura), is a strategically important area, particularly in the distribution sector. However, its topographical characteristics and proximity to the Java Sea make it vulnerable to the threat of tidal inundation. Moreover, environmental factors such as sea level rise, land subsidence, and coastal abrasion—which causes shoreline retreat—further exacerbate the region’s susceptibility to flooding. The rob phenomenon significantly impacts the socio-economic conditions of coastal communities, disrupting daily activities and damaging critical infrastructure such as residential housing and road networks. This study aims to simulate the impact of tidal flooding in terms of inundation depth and spatial extent, using the assumption of the Highest High Water Level (HHWL). The simulation results are intended to serve as an initial reference for the development of coastal flood mitigation strategies. The methodology follows the Technical Guidelines for Disaster Risk Assessment issued by Indonesia’s National Disaster Management Agency (BNPB) and integrates various spatial datasets, including land cover data from Sentinel Land Cover by ESRI, topographic data from the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM), and maximum tidal height data processed using the Admiralty method. The analysis shows that, assuming a Highest High Water Level of 1.2 meters, Kendal Regency, Brebes Regency, and Semarang City are the most affected areas in terms of both flood depth and extent. The inundated areas are estimated at 3,744.91 hectares in Kendal Regency, 2,880.58 hectares in Brebes Regency, and 513.17 hectares in Semarang City. This situation could become more severe in the event of storm surge, extreme weather, or climate anomalies if timely and effective mitigation measures are not implemented. These findings are expected to provide a strong foundation for policymakers to formulate targeted, data-driven, and sustainable mitigation strategies to protect communities and infrastructure along Java’s northern coastal region.