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ANALISIS PERUBAHAN PENUTUPAN LAHAN MENGGUNAKAN CITRA LANDSAT DI TAMAN HUTAN RAYA SULTAN ADAM Ahmad Fuady; Ahmad Jauhari; Syam’ani Syam’ani
Jurnal Sylva Scienteae Vol 1, No 2 (2018): Jurnal Sylva Scienteae Vol 1 No 2, Edisi Oktober 2018
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.71 KB) | DOI: 10.20527/jss.v1i2.482

Abstract

Hutan merupakan suatu ekosistem yang memiliki kekayaan alam dengan tersedianya berbagai jasa dan barang yang dapat dimanfaatkan untuk kepentingan ekonomi, sosial-budaya dan perlindungan ekologis. Seiring berjalannya waktu, kondisi kawasan hutan jika dilihat dari penutupan vegetasinya mengalami perubahan yang cepat dan dinamis sesuai dengan adanya perkembangan pembangunan dan gangguan hutan. Perkembangan terhadap perubahan penutupan lahan yang terjadi dapat diketahui dengan menggunakan teknologi penginderaan jauh atau sistem informasi geografis (SIG). Penelitian ini bertujuan untuk menganalisis penutupan lahan pada tahun 2013 dan 2016 serta menganalisis perubahan tutupan lahan pada periode 2013-2016. Berdasarkan tujuan, penelitian ini merupakan penelitian deskriptif. Penelitian ini dilaksanakan di Taman Hutan Raya Sultan Adam, Kabupaten Banjar. Data primer adalah Citra landsat 8 tahun 2013 dan 2016, batas areal TAHURA. Metode analisa data dengan cara Supervisied Analysis menggunakan tools SCP.Pengambilan data pada observasi lapangan dengan cara Insidental sampling. Hasil uji akurasi pada penutupan lahan tahun 2013 secara keseluruhan adalah 99,75% dan uji akurasi pada penutupan lahan tahun 2016 secara keseluruhan adalah 100%. Perubahan yang terjadi pada periode 2013-2016 dominan mengalami reforestasi sebesar 10048.67 Ha setiap satu tahunnya dan penutupan yang mengalami perubahan sebesar -10046 Ha pertahunnya. Sedangkan untuk laju perubahan yang terjadi untuk tiap tahunnya padan kawasan TAHURA yaitu 2,67 Ha.
IKLIM MIKRO HUTAN BERDASARKAN NORMALIZEDDIFFERENCEVEGETATION INDEX (NDVI) DI KAWASAN HUTAN DENGAN TUJUAN KHUSUS(KHDTK) UNIVERSITAS LAMBUNG MANGKURATPROVINSI KALIMANTAN SELATAN Tri Wahyuni; Ahmad Jauhari; Adistina Fitriani
Jurnal Sylva Scienteae Vol 2, No 3 (2019): Jurnal Sylva Scienteae Vol 2 No 3, Edisi Juni 2019
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.19 KB) | DOI: 10.20527/jss.v2i3.1837

Abstract

The purpose in this research to analyze the microclimate using a comfort index based on the canopy density results from NDVI analysis in KHDTKLambungMangkurat University. The research from February-April 2018. The research location was purposive sampling the results of NDVI analysis using QGIS, microclimate parameters (temperature, humidity and light intensity) with a field survey using a circular plot with a radius of 17.84 m. Data analysis based on comfort index (THI) from Setyowati (2008). The percentage of canopy density is very rare at 55.69% with an average light intensity of 3242.20 lux. The percentage of canopy density is rarely as much as 86.99% with an average light intensity of 1222.8 lux. The percentage of medium canopy density was 88.93% with an average light intensity of 1118.3 lux. The comfort index shows that in the morning THI is very rare, rare and moderate density of 26.36; 25.69 and 26.03 fall into the comfortable category. THI is very rare, rare and moderate density of 30.24; 29.67 and 29.68 fall into the uncomfortable category during the day. THI is very rare, rare and moderate density of 28.28; 28.00 and 27.94 fall into the category of partially uncomfortable in the afternoon.Keywords: Micro Climate; Normalized Difference Vegetation Index (NDVI); TemperaturHumadity Index (THI)
ESTIMASI NILAI CADANGAN KARBON MENGGUNAKAN ANALISIS NDVI (NORMALIZED DIFFERENCE VEGETATION INDEX) DI KHDTK UNIVERSITAS LAMBUNG MANGKURAT Dea Karmila; Ahmad Jauhari; Rina Kanti
Jurnal Sylva Scienteae Vol 3, No 3 (2020): Jurnal Sylva Scienteae Vol 3 No 3, Edisi Juni 2020
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1075.831 KB) | DOI: 10.20527/jss.v3i3.2178

Abstract

This research aims to determine the value of carbon stock based on the NDVI and make a connection between the value of NDVI and the value of carbon stock. This research was conducted at KHDTK Lambung Mangkurat University, South Borneo. The time needed to carry out this research for four months, from january to April, which includes research preparation, data collection and preparation of research reports.  Estimation of carbon stock calculated from 47% of biomass value with trees >10 cm in diameter on three types of vegetation density. Vegetation density was predicted using the NDVI value processed using QGIS software and based on field observations. The value of NDVI at very rare densities  with the range of value (0.52-0.59),at rare densities with the range of value (0.69-0.77), and at medium densities with the range of value (0.81-0.85). The value of carbon stock in three types of vegetation density each are 3.34 (ton/ha) at very rare densities, 11.61 (ton/ha) at rare densities to medium, and 32.04 (ton/ha) at medium densities. The relationship between the value of NDVI and the value of carbon stock uses the exponential regression equation model y = 0.0304e8.2416x and determination coefficient R2=0.909. determination coefficient R2>0.40 show strong relationships, thus the greater the value of R2 between NDVI and stock carbon are better.
POTENSI KARBON TERSIMPAN DALAM TEGAKAN DI KECAMATAN BANJARBARU UTARA KOTA BANJARBARU Saifullah Saifullah; Suyanto Suyanto; Ahmad Jauhari
Jurnal Sylva Scienteae Vol 4, No 4 (2021): Jurnal Sylva Scienteae Volume 4 No 4 Edisi Agustus 2021
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.592 KB) | DOI: 10.20527/jss.v4i4.3944

Abstract

Measurement carbon potential is needed because it enters the era of carbon trading. The carbon market is believed to be able to provide incentives to reduce emissions which are very efficient and effective to do. This incentive is given to provide financing and technology assistance to reduce carbon emissions. The purpose of research was to analyze the potential for biomass and carbon uptake in the North Banjarbaru sub-district, Banjarbaru City. The method used to analyze the potential for biomass and carbon uptake was using NDVI analysis (Normalized Difference Vegetation Index) and field observations. Field observations were carried out by means of positive sampling by considering the NDVI value with the actual conditions in the field. Data processing was carried out by measuring the diameter of the tree stands, then converting the diameter value to biomass and carbon uptake using allometric analysis. The results of biomass potential’s 160.99 tons and carbon absorption potential is 277.69 tons. The difference in the yield of biomass potential and carbon sequestration is influenced by the use of the allometric formulaPengukuran potensi karbon sangat diperlukan karena telah memasuki era perdagangan karbon. Pasar karbon mampu menyediakan insentif untuk menurunkan emisi yang sangat efisien dan efektif untuk dilakukan. Insentif ini diberikan untuk memberikan bantuan pembiayaan dan teknologi untuk mengurangi emisi karbon. Penelitian ini bertujuan untuk menganalisis potensi biomassa dan serapan karbon di kecamatan Banjarbaru Utara Kota Banjarbaru. Metode yang digunakan untuk menganalisis potensi biomassa dan serapan karbon, yaitu menggunakan analisis NDVI (Normalized Difference Vegetation Indeks) dan Observasi lapangan. Observasi lapangan dilakukan secara Puposive Sampling dengan mempertimbangkan nilai NDVI dengan Keadaan Sebenarnya dilapangan. Pengolahan data dilakukan dengan mengukur diameter tegakan pohon, kemudian konversi nilai diameter ke biomassa dan serapan karbon menggunakan analisis alometrik. Hasil potensi biomassa sebesar 160,99 ton dan potensi serapan karbon sebesar 277,69 ton. Perbedaan hasil potensi biomassa dan serapan karbon dipengaruhi oleh penggunaan rumus alometrik.
PEMANFAATAN LUMPUR AKTIF DALAM MEREDUKSI FENOL Ahmad Jauhari; Gt. A. R. Thamrin
Jurnal Hutan Tropis Vol 13, No 1 (2012): Jurnal Hutan Tropis Borneo Volume 13 No 1 Edisi Maret 2012
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (136.144 KB) | DOI: 10.20527/jht.v13i1.1491

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh mikroba dari lumpur aktif dalam mereduksi senyawa fenol yang terdapat dalam limbah cair industri kayu lapis. Mengingat industri kayu lapis yang menggunakan resin Phenol Formaldehyde (PF) sebagai campuran utama perekat, menghasilkan limbah cair yang mengandung senyawa fenol yang bersifat toksin (racun) bagi lingkungan.Hasil penelitian dengan tingkat kepercayaan 95% menunjukkan jumlah mikroba memberikan pengaruh yang signifikan terhadap reduksi fenol dari 62,25 mg/L menjadi 4,09 mg/L, dengan persamaan y = -0,606x + 14,76 dan nilai r sebesar 0,967. Yang berarti 96,7% penurunan fenol dipengaruhi oleh mikroba.Hasil pengujian fenol dalam limbah cair industri kayu lapis menunjukkan efisiensi proses penanganan limbah mencapai 93,43 %. Pada pengamatan fenol kondisi awal (tanpa perlakuan), kadar fenol dalam limbah cair industri kayu lapis sebesar 62,25 mg/L. Setelah dicampur dengan lumpur aktif, terjadi penurunan kadar fenol sebagai berikut : pada 15 menit kadar fenol 9,58 mg/L, pada 30 menit kadar fenol 9,25 mg/L, pada 60 menit kadar fenol 7,46 mg/L, pada 120 menit kadar fenol 6,50 mg/L, pada 240 menit kadar fenol 6,08 mg/L, pada 480 menit kadar fenol 4,09 mg/L.Kata kunci : lumpur aktif, mikroba, fenol.
ANALISIS TAPAK BUKIT KATUNUN Rinakanti Rinakanti; Ahmad Jauhari; Siti Erdian
Jurnal Hutan Tropis Vol 9, No 2 (2021): JURNAL HUTAN TROPIS VOLUME 9 NOMER 2 EDISI JULI 2021
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v9i2.11282

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The purpose of this site analysis is to determine business space and public space in accordance with Regulation of the Director General of Sustainable Production Forest Management Number P.06 / PDASHL / SET / KUM.1 / 11/2016 concerning Guidelines for Designing a Site Design for Management of Natural Tourism in Protected Forests. The analysis method of identifying satellite imagery in 2018 with the use of Quantum software can create slope class maps and land cover maps. These results are then checked randomly in the field. This site analysis was prepared by referring to the provisions of the Minister of Environment and Forestry Regulation Number P.22 / Menhut-II / 2012 concerning Guidelines for Business Activities Utilizing Natural Tourism Environmental Services in Protected Forests, Regulation of the Director General of Sustainable Production Forest Management Number P.06 / PDASHL /SET/KUM.1/11/2016 concerning Guidelines for Designing a Site for Management of Nature Tourism in Protected Forests. Site Analysis is a dynamic reference for planners to divide Bukit Katunun natural tourism area into business space and public space. Business space will be built restaurant / café, lodging, paid camping ground, swimming pool and agrotourism area. While public spaces will be built gates (2 pieces) and security posts, information and health centers, parking areas, gathering areas + toilets, parks + fountains, free camping ground, halls / meeting rooms, research centers, viewing towers and shelters ( 4 pieces), and a trail (jungle tracking) ± 2000 m.
KAJIAN POTENSI DAN PENGEMBANGAN PENGUSAHAAN ARANG KAYU DI DESA RANGGANG LUAR KECAMATAN TAKISUNG KABUPATEN TANAH LAUT PROVINSI KALIMANTAN SELATAN Zainal Abidin; Ahmad Jauhari; Muhammad Hafizh Afriza
Jurnal Hutan Tropis Vol 6, No 2 (2018): Jurnal Hutan Tropis Volume 6 Nomer 2 Edisi Juli 2018
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v6i2.5398

Abstract

The objectives of this study were to inventory the number of charcoal kiln and the people who work on it. Knowing the factors of production business of making charcoal contained in Ranggang Luar Village, which included: raw materials, technology, manufacturing and yield, and provide a policy direction to the sustainability of wood charcoal business. Determination of the sample interviews to obtain a detailed profile related to utilization of wood charcoal is purposive sampling which was chosen first on a charcoal maker community. Sample of the respondents for interviews taken from the relevant authorities, village’s chief and purposively of the number of households (families) in the village of charcoal maker in every RT.Ranggang Luar Community who has the business of wood charcoal is numbered 98 people. Charcoal kilns spread almost evenly on Ranggang Luar Village, the number of furnace reached 478 pieces. The size of kiln in Ranggang Luar Village is 4.5 m in circumferenceand 2.5 m in high. The capacity of kilnand production of charcoalwere 15 tonnesand 3.05 tonnes, respectivelywith the average of yield was20.3%.Penelitian ini bertujuan untuk menginventarisir jumlah dapur arang serta masyarakat yang mengusahakannya. Mengetahui faktor produksi usaha pembuatan arang kayu yang terdapat di Desa Ranggang Luar, yang meliputi: bahan baku, teknologi, pembuatan dan rendemen dan memberikan suatu arah kebijakan untuk keberlanjutan usaha arang kayu.Penentuan sampel wawancara untuk mendapatkan profil detail terkait pengusahaan arang kayu dilakukan secara purposive sampling dimana dipilih terlebih dahulu pada masyarakat pembuat arang kayu. Sampel responden untuk wawancara diambil dari instansi terkait, kepala desa dan secara purposive dari jumlah kepala keluarga (KK) pembuat arang di desa pada setiap RT. Masyarakat Desa Ranggang Luar yang menjadi pengusaha arang kayu adalah berjumlah 98 orang. Terlihat tungku arang menyebar hampir merata pada Desa Ranggang Luar, banyaknya tungku mencapai 478 buah. Ukuran keliling tobong yang digunakan pada Desa Ranggang Luar 4,5 m dengan tinggi 2,5 m. Kapasitas muat kayu (bahan baku) untuk tobong yang digunakan dan rata – rata akan menghasilkan arang secara berurutansebanyak 15 ton dan 3,05 ton arang, dengan rata – rata rendemen dari satu dapur arang sebanyak 20,3 %.
ANALISIS KORELASI NILAI NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) DENGAN SUHU PERMUKAAN TANAH DI KHDTK UNIVERSITAS LAMBUNG MANGKURAT Wilda Hatipah Yasmine; Ahmad Jauhari; Rina Muhayah Noor Pitri
Jurnal Sylva Scienteae Vol 5, No 5 (2022): Jurnal Sylva Scienteae Vol 5 No 5 Edisi Oktober 2022
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v5i5.6701

Abstract

This study means to examine the correlation of the Normalized Difference Vegetation Index (NDVI) with the land surface temperature at KHDTK of Lambung Mangkurat University using a combination of remote sensing, GIS, and field observations. The results showed that in the KHDTK area, the NDVI values ranged from 0.07 to 0.88. The estimation of land surface temperature based on the validation between the temperature of the image analysis results and the results of field observations ranged from 25.60°C to 31.90°C. The results of the geostatistical correlation analysis obtained the equation y = 35.5551 – 8.86213x with a coefficient of determination (R2) of 0,3623 and a correlation coefficient (r) of 0.6019. From this equation, it can be interpreted that NDVI and land surface temperature have a negative correlation or are inversely proportional to the level of a strong correlationPenelitian ini bertujuan menganalisis korelasi nilai Normalized Difference Vegetation Index (NDVI) dengan suhu permukaan tanah di KHDTK Universitas Lambung Mangkurat menggunakan teknik kombinasi antara penginderaan jauh, SIG dan observasi lapangan. Hasil penelitian menunjukkan pada area KHDTK nilai NDVI berkisar antara 0,07 sampai 0,88. Estimasi suhu permukaan tanah berdasarkan validasi antara suhu hasil analisis citra dengan hasil observasi lapangan berkisar antara 25,60°C sampai dengan 31,90°C. Hasil analisis korelasi geostatistik didapatkan persamaan y = 35,5551 – 8,86213x dengan nilai koefisien determinasi (R2) sebesar 0,3623 dan koefisien korelasi (r) sebesar 0,6019. Dari persamaan tersebut dapat diartikan antara NDVI dengan suhu permukaan tanah memiliki korelasi negatif atau berbanding terbalik dengan tingkat hubungan korelasi kuat
KERAGAMAN DAN KEMIRIPAN TUMBUHAN BAWAH DI AREA REKLAMASI PT ADARO INDONESIA Sederi Sederi; Ahmad Jauhari; Badaruddin Badaruddin
Jurnal Sylva Scienteae Vol 5, No 4 (2022): Jurnal Sylva Scienteae Vol 5 No 4 Edisi Agustus 2022
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v5i4.6148

Abstract

Natural succession is an important process in the development of vegetation, especially on land that has been damaged, such as former coal mines. After mining coal as a raw material for making fuel, the ex-mining land has the characteristics of a site without top soil, high density, poor in nutrients, high pH and low soil microbial population. The condition of the ex-coal mining site that does not support colonization of natural plants has led to the introduction Cover crops, especially legume cover crops, are needed to improve site quality. Legume crops play a significant role as facilitators, especially in natural succession by enriching the nitrogen (N) content in the soil (Gosling, 2005). The method used is vegetation analysis including community similarity index, species richness index, dominance index and important value index. The results obtained from this study are that there are 18 species of understorey identified with two families, namely Cyperaceae (3 species) and Poaceae (15 species). The dominant plant species is Panicum repens. This species was found in L-3 and L-4 with a high number of individuals so that the dominance was also high with values of 0.60 and 0.51 respectively with an INP of 128.13%. The highest IS value of undergrowth is 57.14% at locations 1 and 2 and there is no similarity because the IS value is <75%. The R1 value at the four research sites as a whole can be said to be low because it is less than <3.5. The highest species richness index (R1) was obtained at the second location (L-2) of 1.96, although this value was still low because it was less than <3.5.Suksesi alami penting dalam perkembangan vegetasi, terutama pada lahan yang mengalami kerusakan seperti bekas tambang batu bara. Penambangan batu bara sebagai bahan baku pembuatan bahan bakar, lahan bekas tambangnya mempunyai karakteristik tapak tanpa top soil, tingkat kepadatan tinggi, miskin hara, pH tinggi dan populasi mikorba tanah rendah.Tanaman legum memainkan peran signifikan sebagai fasilitor, terutama memperkaya kandungan nitrogen (N) tanah (Gosling, 2005). Metode yang digunakan yaitu analisis vegetasi meliputi indeks kemiripan komunitas, indeks kekayaan jenis, indeks dominansi dan indeks nilai penting. Hasil yang diperoleh dari penelitian ini yaitu jenis tumbuhan bawah yang teridentifikasi ada 18 jenis dengan dua famili yaitu Cyperaceae (3 jenis) dan Poaceae (15 jenis). Jenis tumbuhan yang mendominasi yaitu jenis Panicum repens. Jenis ini ditemukan pada L-3 dan L-4 dengan jumlah individu yang tinggi sehingga dominansinya juga tinggi dengan masing-masing nilai 0,60 dan 0,51 dengan INP 128,13%. Nilai IS tumbuhan bawah  tertinggi yaitu 57,14% pada lokasi 1 dan 2 dan  tidak ada kemiripan karena nilai IS  <75%. Nilai R1 pada keempat lokasi penelitian secara keseluruhan dapat dikatakan rendah karena kurang dari < 3,5. Indeks kekayaan jenis (R1) tertinggi diperoleh pada lokasi kedua (L-2) sebesar 1,96 meskipun demikian nilai tersebut masih rendah karena dari kurang dari < 3,5.
KOMPOSISI DAN STRUKTUR VEGETASI HUTAN RIPARIAN SEMPADAN SUNGAI KIRAM KABUPATEN BANJAR Anggi Nur Priosejati; Ahmad Jauhari; Kissinger Kissinger
Jurnal Sylva Scienteae Vol 6, No 1 (2023): Jurnal Sylva Scienteae Vol 6 No 1 Edisi Februari 2023
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v6i1.8192

Abstract

This riparian vegetation can affect the development of river ecosystems. The role of riparian vegetation in the ecosystem, among others, is to control erosion, prevent flooding, absorb pollutants carried by water and improve the quality of river water and soil around the river. This study aims to make an inventory of vegetation types in riparian forests in order to analyze the composition and structure of vegetation. The method used in data collection is purposive sampling and plot lines. While the calculation and data analysis using the J curve and INP. This research was conducted at the river border of Kiram Village, Banjar Regency. The results of the J curve with the number of types of seedlings as many as 252 species and yields as many as 630,000 species per hectare, saplings as many as 145 species and yields as many as 58,000 species per hectare, poles as many as 74 species and yields as many as 7400 species per hectare, trees as many as 51 the number of species has a yield of 1275 the number of species per hectare. The research showed that the species that were inventoried were categorized starting from 19 species/4m2 seedlings with a total of 252 stems/4m2, 25 types/25m2 saplings with 167/25m2 stems, 19 species/100m2 poles with a total of 74 stems/100m2 and trees as many as 25 species/400m2 with a total of 51 stems/400m2. The highest Importance Value Index (INP) was at the seedling level, namely Petindis Plant Types at 44.44 percent, at the sapling level, namely Sari Departure Plants at 11.03%, at the pole level, namely Alaban Plant Types at 103.59% and at the tree level. Namely the Madang Puspa plant species by 165.85%.Vegetasi riparian ini dapat mempengaruhi perkembangan ekosistem sungai. Peran vegetasi riparian dalam ekosistem antara lain sebagai pengontrol erosi, mencegah terjadinya banjir, menyerap zat pencemar yang terbawa air serta memperbaiki kualitas air sungai dan tanah di sekitar sungai. Penelitian ini bertujuan untuk Mengiventarisasi jenis vegetasi pada hutan riparian guna menganalisis komposisi dan struktur vegetasi. Adapun metode yang digunakan dalam pengambilan data adalah purposive sampling dan plot berjalur. Sedangkan perhitungan dan analisa data menggunakan kurva J dan INP. Penelitian ini dilaksanakan di sempadan sungai Desa Kiram Kabupaten Banjar. Hasil kurva J dengan jumlah jenis semai sebanyak 252 jumlah jenis dan memiliki hasil sebanyak 630.000 jumlah jenis perhektar, pancang sebanyak 145 jumlah jenis dan memiliki hasil sebanyak 58.000 jumlah jenis perhektar,  tiang sebanyak 74 jumlah jenis dan memiliki hasil sebanyak 7400 jumlah jenis perhektar,  pohon sebanyak 51 jumlah jenis memiliki hasil sebanyak 1275 jumlah jenis perhektar. penelitian menunjukkan jenis-jenis yang terinventarisasi pada pengkategorian mulai dari semai sebanyak 19 jenis/4m2 dengan jumlah 252 batang/4m2, pancang sebanyak 25 jenis/25m2 dengan jumlah 167/25m2 batang,  tiang sebanyak 19 jenis/100m2 dengan jumlah 74 batang/100m2 dan pohon sebanyak 25 jenis/400m2 dengan jumlah 51 batang/400m2 . Indeks Nilai Penting (INP) tertinggi pada tingkat semai yaitu Jenis Tumbuhan Petindis sebesar 44,44%, pada tingkat pancang yaitu Jenis Tumbuhan Sari Berangkat sebesar 11,03%, pada tingkat tiang yaitu Jenis Tumbuhan Alaban sebesar 103,59% dan pada tingkat pohon yaitu Jenis Tumbuhan Madang Puspa sebesar 165,85%.