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All Journal JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI TheJournalish: Social and Government
Ramayanti, Suci
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Humanities Earth & Planetary Sciences Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Physics Social Sciences

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Forecasting Ketahanan Pangan Nasional Melalui Produktivitas Hasil Pertanian Di Provinsi Sumatera Selatan (Studi Kasus Rice Estate) Khotimah, Nur; Ramayanti, Suci; Aprilianto, Prayogi
TheJournalish: Social and Government Vol. 4 No. 5 (2023): Special Issue
Publisher : CV The Journal Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55314/tsg.v4i5.613

Abstract

Provinsi Sumatera Selatan merupakan salah satu kontributor utama dalam produksi beras di Indonesia. Pada tahun 2021, proyek pertanian yang dikenal dengan sebutan "food estate" diresmikan di lima kabupaten di Sumatera Selatan, yaitu Ogan Ilir, Ogan Komering Ilir, Banyuasin, Ogan Komering Selatan, dan Ogan Komering Ulu Timur (OKU Timur). Namun, rencana ini menimbulkan masalah mulai dari peraturan, modal, hingga masalah lingkungan. Penelitian ini menerapkan model ARIMA, yang singkatan dari Auto Regressive Integrated Moving Average Model, sebagai metode peramalan. Hasil peramalan menunjukkan bahwa peningkatan dari tahun 2023 hingga 2030 mengalami peningkatan signifikan. Beberapa strategi utama melibatkan teknologi pertanian modern, pelatihan petani, pengelolaan udara yang efisien, pemupukan yang tepat, pengendalian hama dan penyakit, investasi infrastruktur, diversifikasi produk pertanian, pengembangan tambah nilai, dan pentingnya pemantauan dan evaluasi. Rekomendasi dalam penelitian ini berupa partisipasi modal dalam program, bantuan dan pemantauan dari pemerintah, peraturan yang jelas, ketersediaan input tepat waktu, jumlah, dan harga yang sesuai, penanaman terjadwal, dan penyimpanan untuk stabilitas produk.
Mapping Active Lava Flows from the 2022 Mauna Loa Eruption Using NOAA-20 and S-NPP Satellite Data Ramayanti, Suci; Lee, Chang-Wook; Iryanti, Mimin; Indrasari, Widyaningrum; Hamidah, Ida; Hasanah, Lilik
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 14 No 1 (2025): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v14i1.26753

Abstract

The development of satellite data has played an important role in monitoring natural disasters on the Earth's surface. Providing an overview of the current conditions of a volcanic crisis, including information on lava flow extension, is a challenge in observing volcanoes. Various methods were used to map lava flows, such as identifying lava on optical satellite images and detecting thermal anomalies emitted by hot lava. This study aimed to generate a preliminary map of active lava flow caused by the 2022 Mauna Loa eruption in near real-time by analyzing fire radiative power (FRP) data acquired from Suomi National Polar-orbiting Partnership (S-NPP) and National Oceanic and Atmospheric Administration-20 (NOAA-20) satellites. FRP data was filtered to identify lava flow using statistically determined thresholds from its value distribution, including the 5th percentile, 3rd quartile, mean, and 95th percentile. The obtained active lava flow map is evaluated using confusion matrix analysis by comparing the estimated map with the reference map. The maps generated using various thresholds were compared, and the best result was provided by the threshold of the 3rd quartile, with S-NPP and NOAA-20 FRP threshold values of 27.2 and 27.9 MW/pixel, respectively, with overall accuracy reaching 97%. The higher threshold reduced the overestimated lava location represented by a false positive (FP) value. The results show that the active lava originated from the summit caldera, and the eruptive fissure on the northeast flank extended to the northeastern area with an estimated daily distance reaching about 18 km from a certain reference point. This preliminary lava flow map can provide general information regarding areas prone to lava flows, especially around Mauna Loa, and support related parties in updating hazard zones rapidly. The findings should help make immediate decisions for evacuation routes and public warnings when an eruption occurs without visiting the volcanic area directly.
Co-Authors Aprilianto, Prayogi Ida Hamidah Khotimah, Nur Lee, Chang-Wook Lilik Hasanah Mimin Iryanti Widyaningrum Indrasari