Article Per Year (5 Year)
p-Index From 2021 - 2026
2.495
P-Index
This Author published in this journals
All Journal Indonesian Journal of Geography Jurnal Antropologi: Isu-Isu Sosial budaya Jurnal Geografi Jurnal Sylva Scienteae Jurnal Pengabdian Ilung (Inovasi Lahan Basah Unggul) JURNAL HUTAN TROPIS JOURNAL OF WETLANDS ENVIRONMENTAL MANAGEMENT
Syamani D. Ali
Faculty Of Forestry, Universitas Lambung Mangkurat
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : JURNAL HUTAN TROPIS

 1 
PEMETAAN BIOMASSA TEGAKAN HUTAN HUJAN TROPIS DI BUKIT MANDIANGIN MENGGUNAKAN CITRA SENTINEL-2 MSI Mufidah Asy’ari; Syam’ani Syam’ani; Trisnu Satriadi
Jurnal Hutan Tropis Vol 9, No 3 (2021): JURNAL HUTAN TROPIS VOLUME 9 NOMER 3 EDISI NOVEMBER 2021
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v9i3.12318

Abstract

The preservation of standing biomass is one of the most vital elements for environmental sustainability and the sustainability of the forest itself. One of the actions that can be taken in an effort to maintain the sustainability of forest stand biomass is to map the distribution of biomass, and monitor changes or dynamics of stand biomass from time to time in a sustainable manner. This study aims to build a model based on remote sensing imagery to estimate the total biomass of tropical rainforest stands in Mandiangin Hill, South Kalimantan. The models developed in this study are based on vegetation indices extracted from Sentinel-2 MSI Imagery. A total of ten vegetation indices were tested in this study. For the construction process and validation of stand biomass estimation models, biomass information was measured directly in the field using a number of measuring plots. Stand biomass estimation models were made by correlating stand biomass information from the field with vegetation indices from Sentinel-2 MSI Imagery. The results showed that the most accurate model for estimating the biomass of tropical rainforest stands was 9.5806.exp (0.1454.PSSRa). Where PSSRa is Pigment Specific Simple Ratio. This model has a correlation coefficient (R2) of 0.876, a Mean Absolute Percentage Error (MAPE) of 16.8%, and a Root Mean Square Error (RMSE) of 32.6. The estimation results show that the total biomass of the Bukit Mandiangin tropical rainforest stands is between 11.7 to 998.5 Mg/ha, with an average biomass of 135.8 Mg/ha. Furthermore, the estimation of stand biomass in this study is limited to woody vegetation with a DBH of 10 cm and above. The PSSRa model with various improvements can be used to accurately estimate stand biomass
KORELASI SPASIAL FREKUENSI KEBAKARAN HUTAN DAN LAHAN DENGAN AKTIVITAS MANUSIA: STUDI KASUS DI SUB SUB DAS RIAM KANAN PROVINSI KALIMANTAN SELATAN Susilawati -; Syam’ani -
Jurnal Hutan Tropis Vol 9, No 1 (2021): Jurnal Hutan Tropis Volume 9 No 1 Edisi Maret 2021
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v9i1.10487

Abstract

Forest and land fires are a common phenomenon in several regions of Indonesia. It is assumed that most of the forest and land fires originate from human activities. This study aims to statistically test the spatial correlation between the number of hotspots or the frequency of forest and land fires, to the distance from various types of landuse in the Riam Kanan sub-watershed. The data used in this study are landuse and hotspot data. The spatial correlation analysis in this study was conducted using Euclidean Distance and single regression. Euclidean Distance is used to measure the flat distance between the fire location and the location of human activities. Meanwhile, single regression is used to measure the correlation between the number of fire occurrence points and the flat distance from the location of human activities. The single regression models used are linear, power, exponential, logarithmic, and polynomial. The results showed that the frequency of forest and land fires had a very strong spatial correlation with human activities, especially in the sub-watershed area of Riam Kanan. So it can be stated that the frequency of forest and land fires does have a strong correlation with human activities. The lowest spatial correlation is the distance from the rice fields, and the highest spatial correlation is the distance from the river. However, the number of hotspots increases drastically the more distance it is from the road, and almost approaches zero the farther the road is. Thus, although the spatial correlation with roads is not as high as other land uses, this drastic increase in the number of hotspots indicates that road accessibility has a strong contribution to forest and land fires.
CADANGAN KARBON DI ATAS PERMUKAAN TANAH PADA BERBAGAI SISTEM PENUTUPAN LAHAN DI SUB-SUB DAS AMANDIT Syam’ani Syam’ani; Arfa Agustina Rezekiah; Susilawati Susilawati; Yusanto Nugroho
Jurnal Hutan Tropis Vol 13, No 2 (2012): Jurnal Hutan Tropis Borneo Volume 13 No 2 Edisi September 2012
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v13i2.1531

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui cadangan karbon pada berbagai sistem penutupan lahan terutama pada sistem penggunaan lahan yang ada di lokasi. Pengukuran cadangan karbon dilakukan pada setiap karakter penggunaan lahan. Berdasarkan hasil identifikasi diperoleh 15 kelas penggunaan lahan. Selanjutnya, cadangan karbon diukur pada masing-masing 15 titik penggunaan lahan tersebut, yang meliputi hutan lahan kering primer, hutan lahan kering sekunder, lahan terbuka, pemukiman, pertambangan, pertanian lahan kering, pertanian lahan kering campur semak, semak belukar, semak belukar rawa.  Hasil penelitian menunjukkan bahwa cadangan karbon pada Hutan Primer sebesar 214.234558 Mg/ha,  Hutan Rawa sebesar 109.5401358 Mg/ha, Hutan Sekunder sebesar 76.398847 Mg/ha, Hutan Tanaman sebesar 52.24720899 Mg/ha, Kebun Campuran sebesar 75.91800164 Mg/ha, Kebun Sawit sebesar 37.09233138 Mg/ha, Permukiman sebesar 39.759732 Mg/ha, Rawa sebesar 2.75091684 Mg/ha, Sawah sebesar 1.539459 Mg/ha, Semak Belukar sebesar 4.352907065 Mg/ha, Semak Belukar Rawa sebesar 9.147026299 Mg/ha, dan Tegalan sebesar 1.15919241 Mg/ha. Dengan demikian, total penyimpanan karbon terbesar terdapat pada penggunaan lahan Hutan Primer, dilanjutkan penggunaan lahan Hutan Rawa dan Hutan Sekunder. Sementara total penyimpanan C terkecil terdapat pada penggunaan lahan Tegalan.Kata Kunci: Cadangan karbon, emisi karbon, biomassa, penggunaan lahan, amandit
KECENDERUNGAN KEBAKARAN HUTAN DAN LAHAN DAN ALTERNATIF PENGENDALIAN BERBASIS KEMITRAAN DI PT. INHUTANI II KOTABARU Trend of Forest and Land Fire and Control Alternative Based on Partnership at PT. Inhutani II Kotabaru Mahrus Aryadi; Trisnu Satriadi; Syam’ani Syam’ani
Jurnal Hutan Tropis Vol 5, No 3 (2017): JURNAL HUTAN TROPIS VOLUME 5 NOMER 3 EDISI NOVEMBER 2017
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v5i3.4789

Abstract

Kebakaran hutan dan lahan di Indonesia telah menyebabkan kerugian yang luar biasa, baik dari aspek ekologi, ekonomi dan sosial budaya. Penelitian ini menggali kecendrungan kebakaran hutan dan lahan dengan pendekatan spasial dan penyebab kebakaran hutan dan secara empiris serta alternatif pengendaliannya. Metode yang digunakan perangkat lunak SIG, yaitu ArcGIS for Desktop 10.3.1 yang disediakan oleh Environmental Systems Research Institute (ESRI), wawancara mendalam dan observasi. Hasil penelitian menunjukkan bahwa hotspot berkorelasi positif, semakin dekat dengan jaringan jalan, intensitas atau jumlah kejadian kebakaran akan semakin besar, dan kecendrungan kebakaran hutan dan lahan berbentuk acak dari waktu ke waktu yang disebabkan oleh adanya pembukaan lahan-lahan baru untuk kepentingan perladangan. Penyebab kebakaran hutan dan lahan adalah aktivitas perladangan, akses jalan dan iklim. Alternatif Pengendalian Kebakaran Hutan berbasis Kemitraan, yaitu membangun kerjasama dengan kelompok masyarakat peladang sistem “Pembukaan Ladang Terkendali”, melibatkan parapihak yakni aparat desa, aparat kecamatan dan aparat kepolisian setempat serta KPHP.Kata kunci: kebakaran; hutan dan lahan; kemitraanForest and land fires in Indonesia have caused tremendous losses, both from the ecological, economic and socio-cultural aspects. This study explores the trend of forest and land fires with spatial approaches and causes of forest fires through empiricall method as well as alternative controls. The method used GIS software, ArcGIS for Desktop 10.3.1 provided by the Environmental Systems Research Institute (ESRI), in-depth interviews and observation. The results show that the hotspots are positively correlated, the closer to the road network, the greater the intensity or number of fires, and the tendency of forest fires and randomly shaped land from time to time due to the opening of new lands for shifting cultivation. Causes of forest and land fires are the activities of cultivation, road access and climate. Alternative Forest Fire Control based on Partnership, which is to build cooperation with community group farmer system “Pembukaan Lahan Terkendali”, involving stakeholders that is village apparatus, subdistrict apparatus and local police apparatus and KPHP.
ESTIMASI BIOMASSA TEGAKAN HUTAN HUJAN TROPIS DI BUKIT MANDIANGIN MENGGUNAKAN METODE INTERPOLASI SPASIAL Mufidah Asy’ari; Syam’ani Syam’ani; Trisnu Satriadi
Jurnal Hutan Tropis Vol 10, No 3 (2022): Jurnal Hutan Tropis Volume 10 Nomer 3 Edisi November 2022
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v10i3.14975

Abstract

.  Biomassa atau cadangan karbon merupakan salah satu indikator kelestarian tegakan hutan. Kuantitas biomassa yang stabil dan proporsional mengindikasikan kelestarian hutan berada dalam kondisi yang baik. Dalam rangka menjaga kelestarian hutan, pihak-pihak terkait dituntut untuk selalu aktif di dalam pemantauan hutan, salah satunya adalah kondisi biomassa tegakan. Penelitian ini bertujuan untuk menguji sejumlah metode interpolasi spasial untuk mengestimasi distribusi biomassa tegakan hutan hujan tropis di Bukit Mandiangin, Kalimantan Selatan. Interpolasi spasial bertujuan untuk mengatasi keterbatasan data sampel di lapangan pada wilayah hutan yang luas. Beberapa metode interpolasi spasial diimplementasikan didalam penelitian ini, yaitu IDW, GPI, RBF, LPI, dan Kriging. Sebanyak 50 plot sampel dibuat di lapangan untuk mengukur biomassa tegakan hutan. Meskipun ketika dianalisis semivariogram, hanya 40 titik sampel diantaranya yang dapat diikutsertakan didalam analisis, sebanyak 30 titik dijadikan sebagai training samples untuk input interpolasi spasial dan 10 titik dijadikan sebagai testing samples untuk validasi hasil interpolasi. Validasi hasil interpolasi spasial dilakukan menggunakan MAPE dan RMSE. Hasil riset menunjukkan bahwa IDW dengan nilai power 2 merupakan metode interpolasi spasial yang paling optimal untuk estimasi biomassa tegakan hutan. Disamping memiliki MAPE dan RMSE yang cukup kecil, IDW juga lebih praktis dibandingkan dengan metode-metode interpolas spasial lainnya. Metode lainnya yang dapat dijadikan sebagai alternatif selain IDW untuk biomassa tegakan hutan adalah RBF dengan fungsi inti Completely Regularized Spline dan Empirical Bayesian Kriging dengan fungsi inti Linear. Lebih jauh, untuk mendapatkan hasil interpolasi spasial yang lebih akurat, titik-titik sampel harus dibuat lebih banyak dan tersebar lebih merata di dalam wilayah yang akan diestimasi.
Co-Authors Abd Rahman Abdi Fithria Abdi Fithria Afryanda Eka Bagaskara Ahmad Fuady Ahmad Jauhari Ahmad Rizal Arfa Agustina Rezekiah Ari Susanti Arseno Satrio Utomo Astinana Yuliarti Ayu Yunita Lolo Damaris Payung Dicky Ganesa Erlis Saputra Eva Prihatiningtyas Hartono Hartono Jany Tri Raharjo Karmila Karmila Karnanto Hendra Murliawan Khairun Nisa Kissinger Kissinger Mahrus Aryadi Mochamad Arief Soendjoto Mufidah Asy’ari Muhammad Angga Prabowo Muhammad Indera Wijaya Muhammad Muchtar Effendy Muhammad Naufal Muza Muhammad Noor Isnaini Muhammad Rizkiansyah Naparin, Muhammad Ogie Elian Aziz Arief Projo Danoedoro Puput Wahyu Budiman R. Rijanta Rahmad Effendi Rina Kanti Rina Muhayah Noor Pitri Rizky Nurita Anggraini Rizky Nurita Anggraini Rosalina Kumalawati Sahrul Rinaldi Siti Fatimah Evayanti Susilawati Susilawati Susilawati Susilawati Susilawati Susilawati Suyanto - Trisnu Satriadi Widya Nurhasanah Yuniarti Yuniarti Yusanto Nugroho