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All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Pembangunan Berkelanjutan Jurnal Silva Tropika JAS (Jurnal Agri Sains) Jurnal Hutan Tropika Journal of Food Technology and Health Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Karya Abdi Masyarakat Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis
Eva Achmad
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Public Health Social Sciences

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Model Spasial Pendugaan Biomassa Di Atas Permukaan Tanah Di Hutan Nagari Padang Limau Sundai Kabupaten Solok Selatan Provinsi Sumatera Barat Achmad, Eva; Nursanti, Nursanti; Manalu, Joy Halomoan Boang
Jurnal Silva Tropika Vol. 2 No. 2 (2018): Jurnal Silva Tropika
Publisher : Fakultas Kehutanan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jsilvtrop.v2i3.6388

Abstract

Biomass estimation model can be derived from satellite imageries and field measurements. This study built the estimation model using Landsat 8 image. This study was conducted in Hutan Nagari Padang Limau Sundai Sangir Jujuan, South Solok District, West Sumatera Province. This study aimed to build biomass estimation model and to study distribution of biomass over forest area using digital number of bands 4, 5, 6 and Normalized-Difference of Vegetation Indeks (NDVI). Field biomass was estimated using allometric Ketterings (2001). The biomass estimation model were developed using regression analysis by relating field biomass value and digital number of Landsat 8 Imagery. Selection of the best model based on the highest R2adj value, the lowest standard deviation value, the lowest bias value, and the lowest Root Mean Square Error (RMSE). Based on the result of model analysis to estimate biomass, obtained the best biomass estimate model, that is exponential model, Y = e (-27,40707 + 0,00461 X4 -0,00011 X5 - 0,00197 X6 + 50,79023 NDVI). The model selected based on the rating result had R2adj 78,8 %, standart deviation 0,227, bias 1,21 and RMSE 14,89.
KOMUNIKASI PEMBERDAYAAN BERBASIS KEARIFAN LOKAL DALAM PENGELOLAAN SUB DAS BATANG MASUMAI BERKELANJUTAN Muchlis, Fuad; Elwamendri, Elwamendri; Kurniasih, Siti; Sunarti, Sunarti; Fuadi, Najla Anwar; Zuhdi, Mohd.; Achmad, Eva
JAS (Jurnal Agri Sains) Vol 8, No 2: Desember 2024
Publisher : Universitas Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36355/jas.v8i2.1570

Abstract

Paradigma pembangunan selama ini, dimana upaya perbaikan kondisi ekosistem di berbagai DAS dilakukan dengan pendekatan top-down, harus dialihkan pada pelibatan masyarakat agar berperan aktif dalam menjaga kelestarian sungai. Oleh karena itu, komunikasi pemberdayaan berbasis kearifan lokal sebagai upaya meningkatkan pemahaman, keterampilan, dan partisipasi masyarakat terhadap Sub DAS Batang Mesumai harus dilakukan dalam pengelolaan DAS yang berkelanjutan. Penelitian ini bertujuan untuk mendeskripsikan ragam dan fungsi kearifan lokal di sekitar Sub DAS Batang Mesumai, dan merumuskan strategi komunikasi pemberdayaan untuk mendorong keterlibatan masyarakat dalam pengelolaan Sub DAS Batang Mesumai. Penelitian ini menggunakan pendekatan studi kasus dan dianalisis secara kualitatif. Hasil penelitian mendeskripsikan kearifan lokal di wilayah studi yakni, adanya Hutan Adat sebagai penyangga Sub DAS Batang Mesumai, dan Barin. Kearifan lokal tersebut berfungsi dalam menjaga ekosistem sungai, menjaga sumber pangan, dan meningkatkan kesejahteraan ekonomi masyarakat. Strategi Komunikasi Pemberdayaan untuk merestorasi sub DAS Batang Mesumai melalui Perencanaan komunikasi, Menyusun aksi dan strategi, Penggunaan komunikasi yang efektif, dan Penetapan teknik komunikasi secara partisipatif agar masyarakat siap dan berperan aktif dalam menghadapi tantangan degradasi sungai.
Surface Temperature Variations Due to Land Cover Changes in Jambi City: A Comparative Study of 2013 and 2024: Variasi Suhu Permukaan Akibat Perubahan Tutupan Lahan di Kota Jambi: Studi Perbandingan Tahun 2013 dan 2024 Simarmata, Agustina Rida; Achmad, Eva; Harmes; Purnama, Edwine
JURNAL HUTAN TROPIKA Vol 20 No 2 (2025): Volume 20 Nomor 2 Tahun 2025
Publisher : Jurusan Kehutanan, Fakultas Pertanian Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/jht.v20i2.23262

Abstract

This study investigates the spatio-temporal changes in land surface temperature (LST) patterns in Jambi  City, Indonesia, between 2013 and 2024 using Landsat 8-9 OLI/TIRS imagery. The research employs thermal band analysis (bands 10 and 11) and geographical information systems to evaluate urban heat  island (UHI) effects across 68 sub-districts. Results demonstrate significant thermal    landscapetransformations, with surface temperatures expanding from 21.5-26.20°C in 2013 to 19.02-27.33°C  in 2024. Highly urbanized areas, particularly in Jambi Selatan, Jelutung, and Paal Merah districts, experienced the most substantial temperature increases (up to 1.13°C), while areas maintaining vegetation cover and proximity to water bodies showed remarkable thermal stability. The study reveals strong correlations between land use changes and temperature variations, with built-up areas exhibiting significantly higher temperatures compared to vegetated regions and water bodies. These findings provide crucial insights for urban planning and climate adaptation strategies, emphasizing the importance of preserving green spaces and water bodies as natural cooling mechanisms in rapidly developing tropical cities.
Contribution of Agroforestry to Farmers' Income and Welfare in Jujun Village Kerinci Regency Achmad, Eva; Ulfa, Maria; Fazriyas; Tamin, Rike Puspitasari
Jurnal AGRISEP JURNAL AGRISEP VOL. 25 NO. 01 2026 (MARCH)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jagrisep.25.01.45-56

Abstract

Jujun Village is located in Kerinci Regency and is one of the Integrated Laboratory Villages fostered by Jambi University. Jujun Village is known to have the largest area in Keliling Danau District, and most of its residents work as farmers and have cultivated land. The agroforestry cropping pattern approach has begun to be carried out by the community, especially since the benefits of agroforestry for the community were explained again from an ecological and economic perspective. In the journey of the agroforestry system in Jujun Village, it is necessary to know what its contribution is to community income. Specifically, this study seeks to analyze the contribution of agroforestry to the income and welfare of farmers in Jujun Village. This study ran for 8 months from April to November 2024 and was carried out in Jujun Village. This study uses quantitative and qualitative descriptive methods with an analysis focused on farmers' income and welfare. The results of the study show that farmers have implemented agroforestry on their land with a combination of various types of agricultural and forestry crops. The analysis carried out provides an overview of the contribution of agroforestry to farmers' income in general with varying levels of contribution. The average contribution of agroforestry to total farmer income is 51.97%. The average contribution of agroforestry to total farmer income is 51.97%. Meanwhile, the level of farmer welfare ranges from almost poor (33.33%), sufficient (26.67%), to decent living (23.33%).
STUDI KERAPATAN MANGROVE DAN PERUBAHAN GARIS PANTAI TAHUN 1989-2018 DI PESISIR PROVINSI JAMBI Achmad, Eva; Nursanti, Nursanti; Marwoto, Marwoto; Fazriyas, Fazriyas; Jayanti, Dwi Putri; Marwoto
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 10 No 2 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.10.2.138-152

Abstract

The density of mangrove cover is one of the factors that influence changes in shoreline both accretion and abrasion. This study aims to determine the effect of changes in density of mangrove cover on shoreline changes in 1989-2018 in the Coastal Province of Jambi. The method used is the interpretation of Landsat satellite images in 1989, 2000 and 2018 using NDVI (Normalized Difference Vegetation Index) and overlaying images to see shoreline changes and DSAS (Digital Shoreline Analysis System) to calculate the area of change. The results showed that there had been a change in shoreline both accretion and abrasion in several locations that had different mangrove densities in the period 1989-2018. The results showed that accretion occured in 6 locations with an average change of Kota Sebrang 771 m, Tungkal Ilir 240.65 m, Kuala Betara 153.73 m, Mendahara 167.78 m, Kuala Jambi 169.35 m and Nipah 57.3 m, while abrasion occurs at 2 locations with an average change in Sabak Timur -41.8 m and Sadu -36.55 m. Where in the 6 locations that had accretion, mangrove density dominantly was in a close-densed and moderate state and only a few are in a low-densed condition. Meanwhile, the 2 locations that had abrasion were in a moderate state and have a low density mangrove forest.
Co-Authors Asrizal Paiman Bambang Irawan /E21207042 Elwamendri Fazriyas Fazriyas Fazriyas Fazriyas Fuad Muchlis Harmes Harmes, Harmes Hutwan Syarifuddin Jauhar Khabibi Jayanti, Dwi Putri Manalu, Joy Halomoan Boang Maria Ulfa Maria Ulfa Marwoto marwoto marwoto Mora, Andita Minda Mursalin . Najla Anwar Fuadi Napitupulu, Richard RP Nursanti Nursanti Pratiwi, Hutari Ladjusa Purnama, Edwine Retno Destiani Riana Anggraini Riana Anggraini, Riana Rike Puspitasari Tamin Simarmata, Agustina Rida Siti Kurniasih Suci Ratna Puri Sunarti Surhaini Surhaini Surhaini Surhaini, Surhaini T, Rike Puspitasari Zuhdi, Mohd.