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Utilization of Google Earth Engine and DSAS to Monitor Coastal Change in the Banyuasin Estuary Surbakti, Heron; Salsabilah, Raisyah; Aryawati, Riris; Isnaini; Sitepu, Robinson
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.10922

Abstract

This study examines shoreline dynamics in the Banyuasin Estuary, South Sumatra, Indonesia, by integrating multi-decadal satellite imagery (1989-2019) with field-based sedimentation measurements. The research employs Google Earth Engine (GEE) for satellite data processing, FES 2014 tidal corrections to address tidal variations, and the Digital Shoreline Analysis System (DSAS) for precise shoreline change analysis. The primary objective is to comprehensively understand coastline shifts and sediment deposition in stabilising coastal zones. The findings reveal significant shoreline accretion, with net accretion of 2,012 hectares and prominent shoreline advancements at Anakan Island (2,012.33 meters, 118.98 meters/year), while regions such as Sembilang National Park and southern Payung Island exhibited notable erosion (322.71 meters, 10.8 meters/year). The Banyuasin River estuary shifted from notable to extreme accretion phases, contrasting with the more stable shoreline dynamics in the Musi River estuary, where accretion remained stable to intense. The integrated methodology, combining GEE, tidal corrections, and DSAS, offers an innovative approach to monitoring shoreline changes. These findings provide valuable insights for developing sustainable coastal management strategies, particularly in areas facing the dual challenges of climate change and human-induced pressures.
Coastline Change in the Banyuasin Estuary Over the Last Three Decades Surbakti, Heron; Nurjaya, I Wayan; Bengen, Detriech G; Prartono, Tri; Agussalim, Andi; Aryawati, Riris; Sitepu, Robinson; Salsabilah, Raisyah
Jurnal Ilmu Lingkungan Vol 23, No 4 (2025): July 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.4.1056-1065

Abstract

Coasts or shorelines are sites of dynamic activity, and phenomena such as wave and tidal action, sediment supply rate, sea level changes, and the morphological characteristics of the area play a critical role in shaping coastal ecosystems. This study examines coastal changes along the Banyuasin Estuary in South Sumatra, Indonesia, over 30 years (1989–2019). We use remote sensing data, machine learning, and the DSAS tool to analyze historical changes (1989-2019). Landsat images obtained from the United States Geological Survey (USGS) via the Google Earth Engine API are analysed using ArcGIS and DSAS 6.0 software. The largest rate of change occurred at Anakan Island, with the most significant accretion rate being 118.98 m/year, causing a shoreline change of 2012.33 m over 30 years. The smallest shoreline changes were in the Telang and Payung Island areas, which are located in the Musi River Estuary. The magnitude of maximum shoreline change in both locations was 62.72 m and 92.34 m, respectively, with maximum rates of change ranging from 2.09 - 3.08 m/year. The results show that the general pattern of accretion-abrasion in the Banyuasin Estuary is divided into three stages: rapid accretion stage (1989-1994), accretion-erosion adjustment stage (1994-2009), and slow erosion stage (2009-2019).
Fair DSL-LTE Dynamic Spectrum Design Based-Utility Functions on Multiple Quality of Service Network Puspita, Fitri Maya; Rahmadia, Putri; Yuliza, Evi; Indrawati, Indrawati; Sitepu, Robinson; Octarina, Sisca; Yunita, Yunita
Journal of Applied Science, Engineering, Technology, and Education Vol. 5 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci2042

Abstract

The purpose of this research is to formulate a C-RAN(Cloud-Radio Access Network) model based on a fair network combined with an isoelastic utility function and a modified cobb-douglas utility function and then optimize the consumer problem on bandwidth consumption by dividing the financing scheme into three, namely flat-fee, usage-based, and two-part tariff. This research uses traffic data containing inbound and outbound data with two split time which are in off-peak and on-peak hours. The data is obtained through one of the local server in Palembang. Previous research informed that the C-RAN model get optimal benefit if Internet Service Provider (ISP) applies it. The improvement of the model is to be conducted using two utility function to seek for improved solutions. The new proposed model has best solution that has been improved using an isoelastic utility function of flat-fee financing type with an objective value obtained of 1.83333 with 17 iterations. It can be concluded that new designed model can achieve better results rather than old version involving C-RAN model