Harun Idham Akbar

Population growth is increasing food demand, while watershed food systems face intense pressure from land-use/land-cover (LULC) change. Therefore, this study aimed to identify the critical threshold for food sufficiency in the Cimanuk Watershed. The methods used include dynamic analysis and prediction of LULC changes in line with four scenarios using Support Vector Machine (SVM)–Markov model, ecosystem service-based food production modeling through Crop Production module in Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, food demand estimation based on population projections, and calculation of Food Sufficiency Index (FSI) to identify the critical threshold at which the food system shifts from surplus to deficit. The results showed that paddy rice production is projected to continue meeting food demand across all scenarios through 2042. However, food demand is expected to increase as the population grows, specifically in the Accelerated Population Growth (APGS) scenario. FSI analysis indicated that the Cimanuk Watershed remained in food surplus (FSI > 1) up to 2042. The watershed may transition to a food-deficit condition after 2062 in the absence of intervention measures. Therefore, this study recommends protecting productive paddy fields, conserving forests, and managing population growth to maintain long-term food sufficiency.

The ocean economy plays a crucial role in driving regional development and sustainable natural resource management, particularly in metropolitan coastal areas such as the Special Region of Jakarta (Daerah Khusus Jakarta, DKJ). Despite the rapid development of the ocean economy in many regions, there is little comprehensive research on the ocean economy at the metropolitan scale.This work applies to an Input-Output approach to assess the ocean economic activity within the DKJ area, relying on a regional IO matrix from 2016. Alongside come figures on Gross Regional Domestic Product (GRDP), employment creation factors, and measures of influence spread across industries. Emphasis emerges where certain fields show notable interdependencies with marine-relatedoutputs, shaping paths for advancement. Through such patterns, attention shifts naturally toward those branches capable of generating wider ripple effects. The results show that 25% of DKJ's total output comes from the ocean economy, accounting for 19.7% of the province’s GRDP in 2016. By 2024, GRDP from the ocean economy reached IDR 721 trillion, with projected output of IDR 1,805 trillion. The two largest contributors are marine construction and marine tourism, followed by the maritime industry and the transportation sectors. Where complex logistics chains are examined, integrated approaches like Blue Urbanism emerge, linking constructed spaces to renewed ecosystems. Within different areas, port networks operate independently yet grow tightly linkedunder this framework. Evidence gathered supports detailed planning methods aimed at shaping coastal urban economies where industry expands steadily alongside ecological care and fairer community outcomes.

The Bekasi River Basin is highly vulnerable to severe and recurrent flooding, as evidenced by significant infrastructure and environmental damage during major events. This study investigates the catastrophic floods of 2016, 2020, 2022, and 2025 by implementing the Rainfall-Runoff-Inundation (RRI) model to simulate key hydrological processes. After validation using historical water level data, the model performed effectively, achieving the highest coefficient of determination (R² = 0.75) and lowest root mean square error (RMSE = 0.66) at Cileungsi Station. In contrast, the lowest R² = 0.02, and the highest RMSE = 3.74 at Pondok Gede Permai (PGP) Station. The results reveal a concerning trend of worsening 5-year flood events, with the 2025 flood reaching a peak inundation depth exceeding 3 m and affecting an area of 2.97 km², caused by a rainfall threshold of more than 180 mm/day. Furthermore, the model shows a rapid hydrological response, with a time lag of approximately 7 h or less between peak rainfall and flood onset across three monitoring stations. Analysis indicates these severe floods were primarily triggered by heavy rainfall combined with significant land cover changes. The findings provide valuable insights for flood prediction and mitigation strategies in this vulnerable region.

Water conservation (WC) is a vital ecosystem service (ES) that plays an essential role in the sustainable management of water resources and ensures ecological security. This research examines the WC capacity of the Citarum watershed in West Java Province, Indonesia, from 2010 to 2020. The specific objectives of this research are as follows: (1) to assess the 10-year temporal and spatial variations of WC using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and topographic index model; (2) to analyze the temporal interchange between WC and its influencing factors through the Spatial Elastic Coefficient Trajectory Model (SECTM); and (3) to determine the driving factors (DFs) affecting WC by applying Multiscale Geographically Weighted Regression (MGWR). Key findings of this study reveal significant trends in WC from 2010 to 2020: the average WC in the Citarum watershed decreased from 513.96 mm/ha to 453.64 mm/ha (11.74%), indicating a concerning decline in ES capacity. This study also noted that regions implementing comprehensive regulations dominated the study area, covering approximately 72.70% of the total area (502,295 hectares). This illustrates that the implementation of rules plays a crucial role in the WC. Lastly, the MGWR analysis found that WC in the Citarum watershed positively correlated with topography, climate, and vegetation while negatively correlating with socioeconomic factors. This indicates that WC levels are generally lower in areas with higher human activity and economic growth, highlighting the impact of anthropogenic pressures on natural resources. This framework helps stakeholders plan to ensure sustainable development in the area, as it provides valuable insights into the interactions between the ecological and socioeconomic factors affecting WC.

Pemantauan karakteristik air laut di Selat Lombok sangat penting karena merupakan jalur pelayaran yang sibuk. Sejak 1 Juli 2020, Indonesia berwenang mengatur alur pelayaran menggunakan Traffic Separation Scheme (TSS). Banyak faktor yang mempengaruhi kondisi iklim di Selat Lombok, diantaranya adalah angin muson yang menyebabkan kecepatan dan arah arus berbeda. Tujuan dari penelitian ini adalah untuk mengidentifikasi karakteristik arus di Selat Lombok, menganalisis data Automatic Identification System (AIS) di kawasan tersebut, dan menganalisis pengaruh arus laut terhadap kecepatan dan arah kapal. Data arus laut yang bersumber dari Marine Copernicus dengan periode satu tahun (Oktober 2020 – September 2021) digunakan untuk menganalisis pola dan karakteristik arus. Data kecepatan dan jenis kapal diperoleh dengan menggunakan data AIS yang bersumber dari vessel finder. Dilakukan analisis overlay data arus dan lalu lintas laut, kemudian geovisualisasi data diimplementasikan dengan menggunakan software ODV. Sedangkan simulasi data kapal dan arus menggunakan Statfit dan Promodel. Hasil penelitian menunjukkan bahwa pergerakan arus sangat dipengaruhi oleh periode monsun, dimana kecepatan arus yang kuat terjadi pada musim barat dengan periode yang lebih singkat dibandingkan musim lainnya. Kecepatan dan arah arus mempunyai peranan dalam mengubah kecepatan kapal, yang kemudian dapat menjadi bahan pertimbangan dalam menentukan jadwal dan rute kapal demi alasan keamanan dan keselamatan transportasi.