Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Buletin Poltanesa

Community Vulnerability to Lake Drought in Muara Enggelam Village Anwar, Yaskinul; Muhammad, Irmawati; Nurlita, Aulia; Mislan, Mislan
Poltanesa Vol 25 No 1 (2024): June 2024
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v25i1.3015

Abstract

Drought vulnerability epitomizes a community's capacity to cope with drought-related calamities. In Muara Enggelam Village, the susceptibility to lake drought stems from diminished rainfall and lake water levels plummeting below 4.5 meters, as documented by the Mahakam River observation station in Kota Bangun. Consequently, the study focuses on the manifestation of lake drought vulnerability within Muara Enggelam Village. The research methodology encompasses a multifaceted approach involving observation, documentation, interviews, and questionnaires to gauge vulnerability levels. These assessments were based on key indicators of exposure, sensitivity, and adaptive capacity. Employing a cluster random sampling technique, 75 respondents were selected to represent the village population. Data analysis entailed the application of scoring and weighting methodologies. The outcomes of the study reveal that Muara Enggelam Village falls within Zone D, denoting high sensitivity as the primary component of vulnerability. Specifically, the indicators yield values of 0.41 for exposure intensity (EI), 0.81 for sensitivity intensity (SI), and 0.49 for adaptive capacity intensity (CI). The highest sensitivity observed in the village can be attributed to factors such as low-income levels and a significant proportion of the population engaged in fishing activities. In conclusion, this research sheds light on the intricate dynamics of drought vulnerability in Muara Enggelam Village, emphasizing the urgent need for targeted interventions to bolster the community's resilience against future drought events.
Geomatics Technology Spatio-Temporal Dynamics of Flooding in Samarinda City Based on Instagram Posts M. Firzy Handika Saputra; Yaskinul Anwar; Yulian Widya Saputra; Iya Setyasih; H. Rahmadi
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Flooding is a frequent disaster in Samarinda City, Indonesia that causes significant disruptions and losses. This study aimed to analyze the spatial and temporal patterns of flooding in Samarinda using Instagram posts as a data source. A total of 987 public posts related to flooding were collected and used to map the affected areas and identify temporal dynamics. A spatial analysis was conducted using GIS software, and the results were validated using field observations, official flood-prone area maps, and daily rainfall data. The findings showed that most flooding points were concentrated in low-lying residential areas adjacent to rivers, with increasing severity during intense rainfall. Spatial-temporal analysis revealed that high rainfall, overflow of the Karang Mumus River, and overflow of the Mahakam River were the leading causes of flooding. Over the five years, there was a significant temporal decline in the flood frequency, primarily driven by a reduction in rainfall-related events. The spatial patterns also shifted, with the Mahakam River becoming a more significant threat to the riparian areas. Instagram has emerged as a valuable dynamic geospatial data source for flood monitoring, providing timely updates and enabling the visualization of flood events. This study highlights the potential of integrating social media data into official monitoring systems to improve spatial resolution and response speed in flood management. These findings contribute to the development of social media-based flood monitoring methods and provide insights for strengthening flood mitigation planning and disaster risk reduction strategies in Samarinda City.