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KEANEKARAGAMAN VEGETASI HUTAN MANGROVE DI KECAMATAN KURAU KABUPATEN TANAH LAUT Fithria, Abdi; Syam'ani, Syam'ani; Udiansyah, Udiansyah; Ruslan, Muhammad; Rezekiah, Arfa Agustina; Pramudya, Firman; Akbar, Pani; Diva, Achmad Arya; Fahmi, Hilman; Shiba, Yasinta Nur
Jurnal Hutan Tropis Vol 12, No 4 (2024): Jurnal Hutan Tropis Volume 12 Nomer 4 Edisi Desember 2024
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v12i4.21446

Kurau sub-district in Tanah Laut Regency is known to have a fairly extensive mangrove forest with great potential. One of the potentials is the variety of mangrove vegetation that grows in the forest. vegetation that grows in it. Knowing the diversity of mangrove forest species in Kurau sub-district aims to provide a scientific basis for in Kurau sub-district aims to provide a scientific basis for protecting and monitoring the forest. and forest supervision. The method used in the research is the technique of collecting data with purposive sampling and then analyzing with calculation of importance value index and Shannon-Wiener diversity index. Research The research was conducted based on the level of forest density consisting of high, medium and sparse forest density. high, medium, and sparse. The results obtained there are 11 types of vegetation that grow in mangrove forests and are dominated by the type of mangrove (Rhizophora mangle) which grows from seedling to tree level. Then followed by Rambai (Sonneratia caseolaris) and Api-api (Avicennia lanata). The level of species diversity in this mangrove forest is categorized as high with an index value of 5.5. high category with an index value of 5.46 for high forest density, 4.22 for medium forest density. While for sparse forest density included in the medium diversity category with a value of 2.34.

ANALISIS NEKROMASSA BERDASARKAN INDEKS VEGETASI DI KAWASAN HUTAN DENGAN TUJUAN KHUSUS UNIVERSITAS LAMBUNG MANGKURAT Ariansyah, Muhammad Indra; Jauhari, Ahmad; Syam'ani, Syam'ani
Jurnal Sylva Scienteae Vol 7, No 5 (2024): Jurnal Sylva Scienteae Vol 7 No 5 Edisi Oktober 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v7i5.9604

This study aims to calculate the correlation of the potential of restless necromass with vegetation index and estimate restless necromass with greenness index using Landsat 9 imagery in the KHDTK area. The data used in this study is in the form of primary data and secondary data. The primary data used are remote sensing data in the form of the latest Landsat 9 imagery and field observation data. Field conservation data is the bottom carbon (litter necromass) which includes total weight, wet weight, and dry weight in each sampling plot. While secondary data are obtained based on literature studies. Then perform correlation analysis, regression analysis, and accuracy tests. The results of this study showed that based on 35 samples, research data was taken around 28 samples to be a reference in modeling. The results of a single regression correlation between the vegetation index value and the dry weight of the necromass were obtained a correlation value of 0.60 and an RMSE value of 12.56 obtained from the average dry weight of the necromass of 28 samples whose average number of necromass dry weight was 106.59. This means that this modeling value has a slight error difference, so that this correlation modeling can be used as a reference to measure and map the magnitude of the distribution of restless necromass.Penelitian ini bertujuan menghitung korelasi potensi nekromassa seresah dengan indeks vegetasi dan Mengestimasi nekromassa seresah dengan indeks kehijauan menggunakan citra Landsat 9 pada areal KHDTK. Data yang digunakan dalam penelitian ini berupa data primer dan data sekunder. Data primer yang digunakan yaitu data pengindraan jauh berupa Citra Landsat 9 terbaru dan data hasil observasi lapangan. Data obeservasi lapangan yaitu yaitu karbon bawah (nekromassa seresah) yang meliputi berat total, berat basah, dan berat kering dalam setiap plot sampling. Sedangkan data sekunder diperoleh berdasarkan studi kepustakaan. Kemudian malakukan analisis korelasi, analisis regresi, dan uji akurasi. Hasil penelitian ini menunjukan bahwa Berdasarkan 35 jumlah sampel data penelitian diambil sekitar 28 sampel untuk menjadi acuan dalam pemodelan. Adapun hasil korelasi regresi tunggal antara nilai indeks vegetasi dengan berat kering nekromassa seresah yaitu mendapatkan nilai korelasi sebesar 0,60 dan nilai RMSE sebesar 12,56 yang didapatkan dari rata rata Berat Kering nekromassa yang berjumlah 28 sampel yang jumlah rata rata Berat Kering Nekromassa sebesar 106,59. Artinya nilai pemodelan ini memiliki selisih kesalahan yang sedikit, sehingga pemodelan korelasi ini dapat dijadikan acuan untuk mengukur dan memetakan besar sebaran nekromassa seresah.

KEANEKARAGAMAN VEGETASI PADA SISTEM AGROFORESTRI DUKUH DI DESA BIIH KABUPATEN BANJAR KALIMANTAN SELATAN Davita, Almira; Kissinger, Kissinger; Syam'ani, Syam'ani
Jurnal Sylva Scienteae Vol 7, No 5 (2024): Jurnal Sylva Scienteae Vol 7 No 5 Edisi Oktober 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v7i5.9383

In order to support the development and management of agroforestry in the hamlet, it is necessary to understand the ecological conditions and vegetation structure through this research. The objective of this study is to analyze the dominance, species diversity, and evenness of vegetation in the agroforestry system of the hamlet in Biih Village. Data collection was conducted using vegetation analysis techniques with a combination of transect and plot methods, employing purposive sampling along transects in agroforestry areas located behind or adjacent to residential areas. Vegetation data were analyzed using the Importance Value Index, Species Diversity Index, and Species Evenness Index. The research findings reveal that the plant species composition in the agroforestry system of the hamlet consists of 27 species from 19 families, with a total of 671 individuals. The dominant species include Teratat, Porang, Pepper, and Lombok at the understory level, Rubber, Coffee, and Jengkol at the seedling stage, Rubber, Langsat, and Cempedak at the pole stage, Langsat, Rubber, Sungkai, and Gamal at the pole stage, and Durian, Cempedak, Rubber, and Langsat at the tree stage. The species diversity and evenness at all growth stages are classified as moderate, indicating a relatively stable ecosystem, with high evenness or nearly equal distribution.Guna mendukung pengembangan dan pengelolaan agroforestri dukuh perlu diketahui kondisi ekologi dan struktur vegetasi melalui penelitian ini. Tujuan dari penelitian ini adalah untuk menganalisis dominansi, keanekaragaman dan kemerataan jenis vegetasi agroforestri dukuh di Desa Biih. Pengambilan data menggunakan teknik analisis vegetasi dengan metode kombinasi jalur berpetak dengan penempatan jalur secara purposive sampling dan lahan agroforestri dukuh yang menjadi objek penelitian dibelakang atau berdekatan dengan kawasan pemukiman. Data vegetasi dianalisis menggunakan Indeks Nilai Penting, Indeks Keanekaragaman Jenis dan Indeks Kemerataan Jenis. Hasil penelitian menunjukkan komposisi jenis tumbuhan yang ditemukan pada kawasan agroforestri dukuh terdiri dari 27 jenis, 19 famili dan 671 individu yang didominasi oleh jenis teratat, porang, lada dan Lombok pada tumbuhan bawah, jenis karet, kopi dan jengkol pada tingkat semai, jenis karet, langsat dan cempedak pada tingkat pancang, jenis langsat, karet, sungkai dan gamal pada tingkat tiang dan jenis durian, cempedak, karet dan langsat pada tingkat pohon. Indeks keanekaragaman dan kemerataan pada semua tingkat pertumbuhan tergolong kedalam tingkat keanekaragaman jenis sedang atau ekosistem yang stabil dengan kemerataan tergolong tinggi atau hampir merata penyebarannya.

Implementation Of Supportive Psychotherapy In The Elderly In Jekan Raya District, Palangka Raya City Syam'ani, Syam'ani; Kasuma , Wijaya A.
Jurnal Karya Nyata Pengabdian Vol. 1 No. 2 (2025): April
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jknp.v1i2.219

The elderly population is a heterogeneous population: Not all individuals in the elderly population require the same form of social services. This is because the elderly population, although overall included in the fragile health/welfare population group, but to varying degrees. This difference is seen not only from the health aspect (some are "healthy", half healthy half sick, acutely ill, chronically ill to terminally ill), but also from the psychological and socio-economic aspects. Social welfare services for the elderly require a link between all areas of welfare, including: health, social, religion, sports, arts, cooperatives and others. Supportive psychotherapy for the elderly is important considering: The "healthy" elderly population: functionally still not dependent on others, daily living activities are still full, although there may be limitations in terms of socio-economics that require several services, such as housing, income increase and other services. The health services needed are mainly in terms of prevention and promotion, one of which is supportive psychotherapy. Examining the description above, special services are needed for the elderly in the fields of health, socio-economic, psychological, welfare and even spiritual needs, so that an increase in the degree of health and quality of life of the elderly is obtained to achieve a happy, prosperous and useful old age for family and community life in accordance with their existence in the midst of society. Based on this, the D III Nursing Study Program of the Palangka Raya Ministry of Health Polytechnic designs a regular and scheduled activity in the form of Community Service activities entitled Implementation of Psychotherapy in the Elderly in Jekan Raya District, Palangka Raya City.

A progressive muscle relaxation therapy to reduce stress levels in diabetic patients Syam'ani, Syam'ani
GHMJ (Global Health Management Journal) Vol. 5 No. 2 (2022)
Publisher : Yayasan Aliansi Cendekiawan Indonesia Thailand (Indonesian Scholars' Alliance)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35898/ghmj-52938

Type 2 diabetes is one of the major public health problems in both developing and developed countries in the Asia Pacific region. It cannot be denied that the psychological impact of diabetes mellitus has been felt by sufferers since the doctor's diagnosis. Patients begin to experience psychological disorders including stress on themselves related to treatment and medication that must be undertaken. This photo essay pictures our effort in providing a progressive muscle relaxation to the diabetic patients as a therapy to reduce tension and anxiety. This technique focuses on the contraction and relaxation of the muscles of the body. the instructor demonstrate the steps of progressive muscle relaxation therapy to the participants. The results of this study indicate that after being given progressive muscle relaxation therapy, there was a decrease in the number of diabetics who experienced stress, where before the intervention, there were 25 people with moderate stress (92.6%) and 2 people with severe stress (7,4%), while after the intervention decreased to 9 people (33.3%) had no stress, and 18 people (66.7%) had moderate stress.

Estimasi Penyerapan Karbon di Kawasan Hutan dengan Tujuan Khusus ULM Menggunakan Metode Klasifikasi NDVI Dengan Citra Sentinel-2 MSI Ramadhan, Aditya; Syam'ani, Syam'ani; Jauhari, Ahmad
Jurnal Sylva Scienteae Vol 9, No 1 (2026): Jurnal Sylva Scienteae Vol 9 No 1 Edisi Februari 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v9i1.11428

ABSTRACT, Greenhouse gases such as carbon dioxide are significant contributors to global warming, threatening the global climate. Carbon in forest biomass has the potential to reduce GHG emissions. This research aims to develop a biomass model based on NDVI values and field data to estimate carbon sequestration in the ULM Forest Carbon Stock Area. The research utilizes two methods: NDVI and field measurements. Pre-field data management involves image management, image correction, and image clipping for NDVI analysis on the research area map. Sample point determination uses stratified and purposive sampling with a plot size of 20 m × 20 m, totaling 45 sample points. Field observation data collection at tree, pole, pile, understory vegetation, seedlings, and litter levels to assess the forest biomass potential. The research results, based on 38 samples, establish a linear regression model correlation of 715.62x-187.29 with an R2 of 0.701 and an RMSE measurement error rate of 41.72 kg/pixel, indicating an average field carbon potential of 217.11 kg/pixel. This shows the highest carbon potential in 2018 at 0.39 ton/pixel and 0.42 ton/pixel in 2022. The developed linear regression model indicates a carbon sequestration of 2585.07 tons or 1.63 tons/ha over a four-year period in the ULM Forest Carbon Stock Area.Keywords : Biomass, NDVI, Correlation, Carbon SequestrationABSTRAK. Gas rumah Kaca (GRK) seperti karbon dioksida menjadi kontributor utama pemanasan global yang mengancam iklim global. Karbon hutan dalam bentuk biomassa memiliki potensi menurukan emisi GRK. Penelitian ini bertujuan mengembangkan model biomassa antara nilai NDVI dan data lapangan sehingga mengestimasikan serapan karbon KHDTK ULM. Metode penelitian menggunakan dua metode NDVI dan pengukuran lapangan. Pengelolaan data pralapangan meliputi pengelolaan citra, koreksi citra, pemotongan citra untuk analisis NDVI pada peta wilayah penelitian. Teknik penentuan titik sampel menggunakan stratified sampling dan purposive sampling dengan ukuran plot 20 m × 20 m berjumlah 45 titik sampel. Pengambilan data hasil observasi lapangan pada tingkat pohon, tiang, pancang tumbuhan bawah, semai dan seresah untuk mengetahui potensi biomassa hutan. Hasil penelitian menunjukkan dari 38 sampel yang digunakan membangun korelasi model regresi linier yaitu 715,62x-187,29 dengan R2 (0,701) dengan RMSE tingkat eror pengukuran potensi karbon sebesar 41,72 kg/pixel, dengan rata-rata potensi karbon lapangan 217,11 kg/pixel. Menunjukkan potensi karbon terbesar tahun 2018 yaitu 0,39 ton/pixel dan tahun 2022 sebesar 0,42 ton/pixel. Model regresi linier yang dikembangkan menunjukkan penyerapan karbon KHDTK ULM sebesar 2585,07 ton atau 1,63 ton/ha dalam kurun waktu empat tahun.Kata Kunci: Biomassa, NDVI, Korelasi, Penyerapan Karbon

ESTIMASI BIOMASSA DAN CADANGAN KARBON POPULASI RAMBAI LAUT (Sonneratia caseolaris) MENGGUNAKAN CITRA UAV Arman, Yudiarto; Fithria, Abdi; Syam'ani, Syam'ani
Jurnal Sylva Scienteae Vol 8, No 3 (2025): Jurnal Sylva Scienteae Vol 8 No 3 Edisi Juni 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v8i3.10854

Climate change has become a global issue with the commitment of all countries through the Paris Agreement in 2015 which aims to hold air temperatures below 1.5˚C. The Indonesian government, in an effort to reduce greenhouse gas (GHG) emissions, has established a national program called Indonesia's Folu Net Sink 2030. Folu Net Sink is a condition to be achieved by reducing greenhouse gas emissions from the forestry and land use sectors provided that absorption levels are greater. of emission level. Forests provide indirect benefits such as carbon sinks, so it is necessary to calculate carbon reserves easily and effectively to determine stored carbon reserves. This research aims to analyze the correlation of carbon stock values from direct field measurements with estimates of rambai laut vegetation carbon using drone remote sensing methods in the Bakut Island natural tourism park. Data collection was carried out by direct measurements in the field and tree canopy measurements. Data analysis was carried out using regression to estimate data linkage. The research results show that the estimation of the carbon value of canopy area is more accurate than the diameter of the tree crown. The linear regression model was used with the formula y = 0.2903x + 1.354 with an R2 value of 0.82 and the RMSE value of crown area and trunk diameter obtained from the results of model validation using 17 sample trees of 6.71 cm. The estimated carbon content from direct field measurements was 18,164.31 kg, while the estimated carbon content from the canopy area was 14,456.30 kg, meaning the estimated results were smaller than the results from field carbon measurements with an RMSE value of 3,708.01 kg, meaning the average bias value per tree is 44.67 kg.Perubahan iklim menjadi isu global dengan adanya komitmen dari seluruh negara melalui Paris Agreement pada tahun 2015 yang bertujuan untuk menahan suhu udara dibawah 1,5˚C. Pemerintah indonesia dalam upaya menurunkan emisi gas rumah kaca (GRK) telah menetapkan program nasional yang dinamakan Indonesia’s Folu Net Sink 2030. Folu Net Sink adalah kondisi yang ingin dicapai dengan mengurangi emisi gas rumah kaca dari sektor kehutanan dan penggunaan lahan dengan syarat tingkat serapan lebih besar dari tingkat emisi. Hutan memberikan manfaat tidak langsung seperti penyerap karbon maka perlunya perhitungan cadangan karbon yang mudah dan efektif untuk mengetahui cadangan karbon yang tersimpan. Penelitian ini bertujuan untuk menganalis korelasi nilai cadangan karbon pengukuran langsung lapangan dengan estimasi karbon vegetasi rambai laut menggunakan metode penginderaan jauh drone di taman wisata alam pulau bakut. Pengumpulan data dilakukan dengan cara pengukuran langsung di lapangan dan pengukuran tajuk pohon. Analisis data dilakukan dengan menggunakan regresi untuk memperkirakan keterkaitan data. Hasil penelitian menunjukkan estimasi nilai karbon luasan tajuk lebih akurat dibanding diameter tajuk pohon. Model regresi linear digunakan dengan rumus y = 0,2903x + 1,354 dengan nilai R2 sebesar 0,82 dan Nilai RMSE luas tajuk dan Diameter batang di yang didapatkan dari hasil validasi model menggunakan 17 pohon sampel sebesar 6,71 cm. Hasil estimasi kandungan karbon dari pengukuran langsung lapangan didapatkan sebesar 18.164,31 kg sedangkan hasil estimasi karbon dari luasan tajuk sebesar 14.456,30 kg berarti hasil estimasi lebih kecil dibanding hasil pengukuran karbon lapang dengan nilai RMSE sebesar 3.708,01 kg artinya rata-rata nilai bias perpohon sebesar 44,67 kg.

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