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All Journal Jurnal Ilmu Lingkungan Jurnal Neutrino : jurnal fisika dan aplikasinya
Putra, Habibillah Alva
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Environmental Science Physics

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MODEL REKAYASA BANJIR MENGGUNAKAN WEIGHTED PRODUCT DAN SISTEM DINAMIS Gusmira, Eva; Sukmawati, Nissa; Kartika, Reni; Putra, Habibillah Alva
Jurnal Ilmu Lingkungan Vol 23, No 6 (2025): November 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.6.1583-1591

Abstract

Hampir setiap tahun bencana banjir selalu dihadapi oleh Kota Jambi. Banyak faktor yang dapat menjadi pemicu bencana ini, baik dari faktor alam maupun ulah manusia.  Penelitian ini bertujuan untuk mengembangkan model rekayasa banjir untuk meningkatkan kesiapan dan mitigasi di Kota Jambi. Metode penelitian sains terapan dalam pengembangan digunakan dalam penelitian ini dengan teknik pengumpulan data studi literatur, dokumentasi dan survey lapangan. Daerah penelitian dalam pengambilan data adalah Kota Jambi yang terdiri dari 11 Kecamatan. Pengambilan data sampel penelitian dilakukan di satu titik kelurahan di setiap kecamatan yang mempunyai sejarah kejadian banjir. Analisa data menggunakan Metode Weighted Product (WP) dalam menetapkan daerah yang berpotensi terkena banjir dan rekayasa kejadian banjir untuk 10 tahun ke depan menggunakan model sistem dinamis. Analisis metode WP menemukan 4 Kecamatan di Kota Jambi termasuk daerah sangat rawan banjir, 4 daerah rawan, dan 3 daerah aman dari bencana banjir. Hasil rekayasa dalam memitigasi terjadinya banjir dalam 10 tahun ke depan dilihat dari jumlah penduduk terdampak, rasio banjir dan kerugian yang diakibatkan banjir berkurang 0,89%. Hasil ini mengindikasikan bahwa banjir dapat ditanggulangi dengan melakukan perbaikan infrastuktur sistem drainase dan menerapkan kebijakan lingkungan dengan tertib. Daerah terdampak yang dihasilkan dari simulasi dapat menjadi rujukan pemerintah dalam menetapkan prioritas mitigasi bencana.
EFFECTIVENESS OF SPECIES, THICKNESS, AND AGE OF LEAVES ON THE PERFORMANCE OF ORNAMENTAL PALM FIBER AS A CARBON MONOXIDE BIOFILTER IN FOREST FIRE SMOKE Gusmira, Eva; Sukmawati, Nissa; Kartika, Reni; Putra, Habibillah Alva
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 18, No 2 (2026): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v18i2.40085

Abstract

Carbon monoxide (CO) emitted from forest fire smoke requires low-cost and environmentally friendly filtration methods. This study evaluated the effects of palm species, filter thickness, and leaf age on the performance of ornamental palm leaf fiber biofilters for CO reduction. Three palm species Veitchia merrillii, Wodyetia bifurcata, and Cyrtostachys renda were tested using mature and young leaves. Palm leaf fibers were processed into filter sheets with thicknesses of 0.3, 0.5, and 0.7 mm. CO concentrations were measured before and after filtration, and filter effectiveness was calculated as the percentage reduction in CO concentration. Pore-size distribution was analyzed using a trinocular microscope and Examet software. The highest effectiveness for mature leaves was obtained from Wodyetia bifurcata at 0.5 mm thickness, with a CO reduction of 49.11%, whereas the highest effectiveness for young leaves was obtained from Veitchia merrillii at 0.7 mm thickness, with a CO reduction of 57.39%. Increasing filter thickness did not produce a uniform response; the effect varied depending on palm species and leaf age. These findings indicate the preliminary potential of ornamental palm leaf fibers as low-cost, biomass-based filter materials for laboratory-scale CO reduction. The novelty of this study lies in evaluating processed ornamental palm leaf fibers as CO biofilter media by comparing palm species, leaf age, and filter thickness. However, this study was limited by the absence of replicated measurements, adsorption-capacity testing, airflow-resistance measurement, and long-term durability evaluation.
Co-Authors Eva Gusmira Kartika, Reni Sukmawati, Nissa