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All Journal International remote sensing application journal Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi
Alfisar, Muhammad Farras
Unknown Affiliation
Astronomy Computer Science & IT Earth & Planetary Sciences Education Environmental Science Physics Social Sciences

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THE ROLE OF LOCAL WISDOM "MANOKOK TABUAH" AS AN EARLY WARNING SYSTEM AGAINST FLOODING IN NAGARI SUNGAI LIKU, PESISIR SELATAN REGENCY Nadhilah, Qoori; Alfisar, Muhammad Farras; Sitorus, Sonia Boru; Amelia, Anggi; Danuarta, Arga; Hendria, Viony
International Remote Sensing Applied Journal Vol. 6 No. 1 (2025): International Remote Sensing Application Journal (June Edition 2025)
Publisher : Remote Sensing Technology Study Program

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Abstract

This research seeks to explore the role of the Manokok Tabuah system as a traditional early warning mechanism for flood disasters in Nagari Sungai Liku, assess its effectiveness in enhancing community preparedness, and examine its potential integration with modern technology. A descriptive qualitative approach was employed, utilizing data collection methods such as in-depth interviews, field observations, and documentation. Data were analyzed using the Miles and Huberman model, involving the stages of data reduction, data display, and conclusion drawing. The findings indicate that Manokok Tabuah serves not only as an effective culturally-based early warning tool but also fosters social cohesion within the community in the face of disasters. Although it has been largely replaced by modern sirens, the system retains significant cultural value. Therefore, combining traditional practices with modern technological approaches is considered essential for developing an adaptive and sustainable disaster mitigation system
ANALISIS SPASIO TEMPORAL DAMPAK BANJIR BANDANG BERBASIS CROWDSOURCING DI KECAMATAN PAUH Alfisar, Muhammad Farras; Yulfa, Arie
Jurnal Spasial Vol 13, No 2 (2026)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v13i2.11670

Abstract

Hydrometeorological disasters continue to increase, both in frequency and intensity, thereby necessitating rapid disaster information with high spatial resolution. Official data often requires a lengthy verification process, making it unable to fully capture on-the-ground conditions in detail at the time of the event. This study analyzes the spatiotemporal patterns of flash flood impacts based on Instagram crowdsourced data from the Pauh, Padang City. The method used is quantitative descriptive analysis, utilizing posts during the disaster period. The data was validated based on time, location, and content relevance, then analyzed using a Geographic Information System. The results show that Instagram is capable of recording the distribution of affected areas, the progression of disaster conditions, and community dynamics from the event phase through the post-disaster phase in a rapid, detailed, and contextual manner.
Co-Authors Amelia, Anggi Danuarta, Arga Hendria, Viony Nadhilah, Qoori Sitorus, Sonia Boru Yulfa, Arie