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All Journal Jurnal Lahan Suboptimal Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Pembangunan Berkelanjutan Journal of Smart Agriculture and Environmental Technology Jurnal Riset Kajian Teknologi dan Lingkungan
Zuhdi, Mohd
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Mapping and Analyzing Spatial Variability of Peat Depths by Using Geostatistics Armanto, M Edi; Setiabudidaya, Dedi; Ngudiantoro; Wildayana, Elisa; Zuhdi, Mohd
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 3 (2024): December 2024, Published, 2024-12-07
Publisher : Indonesian Soil Science Society of South Sumatra in Collaboration With Soil Science Department, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.3.100-106

Abstract

Determining peat depths can be done by intensive surveys which are expensive, inefficient, and ineffective, therefore, it is essential to find simple alternative methods for measuring peat depths. The research objective was to estimate and make maps of peat depths by applying Geostatistics analysis. This research was conducted on Muaro Jambi District, Jambi (Seponjen Village, Kumpeh) peatlands. The primary data was analyzed by ArcGIS 10.3 and Geostatistics programs. The spatial variability of peat depths on Site A (peat depth of 8.10–15.00 m) and Site B (3.10–8.00 m) showed maximum values at 271 and 242 m distances, respectively. On-Site C (0.00–3.00 m), maximum variability was found at the distance of 63 m. Peat depths variability may be interpolated at a maximum of 271 m (for Site A) and 242 m (for Site B). More than the above distances, peat depths cannot be interpolated. Site A must be conserved because of peat depths of > 3 m, only Site C can be cultivated for agriculture and plantations. Unfortunately, all areas have been cultivated for the oil palm plantation because the government has granted concession permits to plantations before knowing how deep the permissible peatlands are for the whole area.
Pemanfaatan Data Digital Terrain Model dan Metode Topographic Wetness Index untuk Pembuatan Peta Rawan Banjir Daerah Aliran Sungai (DAS) Kenali Besar Kota Jambi Laswanto, Laswanto; Sunarti, Sunarti; Zuhdi, Mohd
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.5544

Abstract

The aim of this research is to produce a map of flood-prone areas in the Kenali Besar watershed area by utilizing Digital Terrain Model (DTM) data using the Topographic Wetness Index method which is processed using Quantum GIS (QGIS) software. The results of this study revealed that 92.10% of the flood areas identified in this study were consistent with flood events that occurred in the field. Topographic Wetness Index analysis indicates that there are 347.0612 hectares (9.74% of the total area of the Kenali Besar watershed) that have the potential to experience flooding. This area is divided into three categories of vulnerability: 47.54 hectares with high vulnerability, 92.5 hectares with medium vulnerability, and 207.02 hectares with low vulnerability.
Using the kriging method to establish a spatially reliable interpolator for peat depth variability Armanto, M Edi; Zuhdi, Mohd; Setiabudidaya, D; Ngudiantoro, Ngudiantoro; Wildayana, Elisa
Jurnal Lahan Suboptimal : Journal of Suboptimal Lands Vol. 14 No. 1 (2025): JLSO
Publisher : Research Center for Suboptimal Lands (PUR-PLSO), Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jlso.14.1.2025.708

Abstract

Peatlands (according to the Governmental Regulation nr 71/2014) can be utilized for agriculture and plantation if the peat depths are less than 3 m or more than 3 m, peatlands have to be conserved or restored. Determining peat depths can be conducted in the fields by intensive surveys which were so expensive, inefficient, and ineffective, therefore it was essential to find our simple alternative methods how to measure peat depths easily. The research aimed to establish a spatially reliable interpolator for peat depth variability by utilizing the kriging method. The research was conducted in Seponjen Village, Kumpeh, Muaro Jambi, Jambi Indonesia. Primary data were processed by applying ArcGIS 10.3 software. The interpolated dataset of peat depths validated their actual dataset and performed an excellent relationship (indicated by a positive correlation coefficient, r = 0.920) and a coefficient of determination (R2 = 0.847). It indicated that the interpolated dataset could be utilized to make maps by kriging. The very deep peat (Site A) and the deep peat (Site B) showed a tendency for a strong autocorrelation of the data distribution of peat depths. Autocorrelation tended to be anisotropic towards the river on the shallow peat (Site C). A good interpolator of peat depth variability can be generated using the kriging method.
Pemetaan Wilayah Rawan Banjir di DAS Kenali Besar Kota Jambi dengan Metode Topographic Wetness Index laswanto; Sunarti; Zuhdi, Mohd
Jurnal Pembangunan Berkelanjutan Vol. 8 No. 1 (2025): Jurnal Pembangunan Berkelanjutan
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpb.v8i1.45915

Abstract

Bencana banjir sering terjadi di Kota Jambi terutama di sepanjang saluran sungai, namun sampai saat ini belum ada data spasial yang menggambarkan area genangan terutama di DAS Kenali Besar. Deliniasi wilayah banjir akan sangat berhubungan dengan topografi wilayah sehingga data DEM memegang peranan penting. Seiring dengan makin berkembangnya Sistem Informasi Geografis yang digunakan untuk analisa spasial dengan memanfaatkan data DTM, maka deliniasi kawasan banjir terutama di DAS Kenali Besar bisa diperoleh salah satunya dengan menggunakan metode Topographic Wetness Indeks. Penelitian ini dilakukan pada DAS Kenali Besar di Kota Jambi pada bulan Juni 2023 sampai dengan Juni 2024, dengan tujuan penelitian adalah menganalisis morfometri dan mendapatkan data kawasan dan tingkat kerawanan banjir di DAS Kenali Besar. Morfometri DAS Kenali Besar dianalisis secara spasial dan batas kawasan banjir dihasilkan dengan menggunakan metode Topographic Wetness Indeks, sedangkan untuk tingkat kerawanan banjir dianalisa berdasarkan data kejadian banjir yang dikumpulkan dari 38 lokasi di DAS Kenali Besar. Berdasarkan hasil penelitian, secara morfometri DAS Kenali Besar diklasifikasikan sebagai DAS sangat kecil, berbentuk memanjang dengan kerapatan jaringan sungai masuk dalam kategori sedang, pola aliran Sungai Kenali Besar mengikuti pola dendritik yang menyerupai cabang-cabang pohon dengan nilai relief sungai yang rendah. Kawasan banjir di DAS Kenali Besar terbagi ke dalam 3 kelas resiko yaitu resiko ringan seluas 207,0194 Ha, resiko sedang seluas 92,4986 Ha, dan resiko berat seluas 47,5432 Ha.
PENGARUH KOMPOS CAMPURAN SOLID DECANTER DENGAN ABU BOILER TERHADAP pH, Aldd, P-TERSEDIA ULTISOL DAN PRODUKSI KEDELAI (Glycine max L.) Simarmata, Ruth Angelia; Farni, Yulfita; Zuhdi, Mohd
Jurnal Riset Kajian Teknologi dan Lingkungan Vol. 8 No. 1 (2025): Jurnal Riset Kajian Teknologi dan Lingkungan
Publisher : LPPM Universitas Samawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58406/jrktl.v8i1.2029

Abstract

Tanah Ultisol merupakan salah satu tanah yang memiliki tingkat kesuburan tanah yang rendah. Hal ini disebabkan oleh banyak faktor, antara lain pH masam, Al-dd tinggi, kadar P-tersedia pada tanah Ultisol rendah karena ion P dalam tanah terikat oleh oksida Al dan Fe serta Kapasitas Tukar Kation (KTK) pada tanah Ultisol relatif rendah. Tujuan penelitian adalah untuk mengetahui pengaruh pemberian kompos padat dekanter campuran abu ketel dalam memperbaiki beberapa sifat kimia tanah Ultisol yaitu pH, Al-dd dan P-tersedia serta meningkatkan hasil produksi tanaman kedelai dan mendapatkan dosis terbaik dalam meningkatkan pH, P-tersedia dan menurunkan Al-dd serta meningkatkan produksi kedelai. Penelitian dilakukan dengan menggunakan rancangan acak kelompok dengan 6 kali percobaan dan 4 kali ulangan sehingga terdapat 24 petak percobaan. Ukuran petak 3 m x 2 m dengan jarak tanam 40 cm x 20 cm sehingga diperoleh 75 tanaman dalam satu petak. Perlakuan yang digunakan dalam penelitian ini adalah P0 (tanpa pemberian kompos padat dekanter - abu ketel), P1 (15 ton/ha kompos padat dekanter - abu ketel), P2 (20 ton/ha kompos padat dekanter - abu ketel), P3 (25 ton/ha kompos padat dekanter - abu ketel), P4 (30 ton/ha kompos padat dekanter - abu ketel), P5 (35 ton/ha kompos padat dekanter - abu ketel). Hasil penelitian ini menunjukkan bahwa pemberian kompos padat dekanter campur abu ketel dosis 25 ton/ha, mampu meningkatkan pH tanah dan ketersediaan fosfor (P-tersedia), serta menurunkan kadar Al-dd.
Analisis Emisi Karbon di Kesatuan Hidrologi Gambut Sungai Mendahara - Sungai Batanghari Firdaus, M. Ismi; Syarifuddin, Hutwan; Zuhdi, Mohd
Jurnal Ilmiah Universitas Batanghari Jambi Vol 24, No 1 (2024): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v24i1.5056

Abstract

Global Warming Due to Carbon Emissions is a threat to life on earth. According to the World Meteorological Organization, the earth's temperature rose by 1.06 °C to 1.26 °C above pre-industrial levels (1850–1900). According to the IPCC report (2021), the impacts of climate change will reach all regions in the world without exception. Indonesia's commitment to reduce carbon emissions by 29% with its efforts and 41% with international cooperation until 2030. Analysis of land cover uses the Unsupervised Classification, the method for calculating carbon emissions above the surface uses the IPCC method, namely the stock differential and the method for analyzing emissions of peat decomposition uses the Hooijer formula et al. (2006, 2010) with estimated water level from the TMAT BRGM data regression equation with NDWI Landsat 8 values then total carbon emissions by adding emissions from above and below the surface. Based on the results of the analysis of land cover at the research location, the area was dominated by plantations at 37.8%, while the forest area was only 7.9%. Ground carbon emissions average 0.23 Mt CO2-eq per year, below Ground carbon emissions are 9.94 Mt CO2-eq and total carbon emissions are 10.17 Mt CO2-eq with total emissions from 2013 - 2022 of 91.6 Mt CO2-eq Carbon emissions in KHG Sungai Mendahara - Batanghari graphically fluctuate, there is an increase and decrease but tends to increase until 2022 this is due to land conversion and massive land clearing in forest areas and the biggest contributor to carbon emissions from decomposition peatlands.
Co-Authors Armanto, M Edi Dedi Setiabudidaya Elisa Wildayana Firdaus, M. Ismi Hutwan Syarifuddin laswanto Laswanto, Laswanto Ngudiantoro . Setiabudidaya, D Simarmata, Ruth Angelia Sunarti Sunarti Sunarti Yulfita Farni