Wahana Forestra Jurnal Kehutanan
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Published By Universitas Lancang Kuning

2548-608x, 1858-4209

2021 ◽  
Vol 16 (2) ◽  
pp. 193-207
Author(s):  
Suryanaji ◽  
Purwanto Purwanto ◽  
Arga Pramudita

Pinus merkusii is a main species for produce pine resin in Indonesia. Clone of Pinus merkusii on progeny trial establishing by Perhutani has identified can produce high yielderresin up to 100 gr/tree/3 days. Clonal forestry needs applied propagation method that easy dan economically on operational level. One of propagation method selected was by air layering. This research work were to obtained genetic materials and to get information number of live percent of seedling from air layering from high yielder resin Pinus merkusii subline when the mother trees reach 12 years old. The research was conducted in Perum Perhutani KPH Banyumas Barat, RPH Samudra on year 2020 with Completely Randomized Design (CRD). The result of this research showed that rooting ability on  Pinus merkusii 12 years old mother trees have signifiant differences between subline. Rooting ability of seedling generated by air layering method were 29% (subline SG2), 24% (subline JB2), 18% (subline SL2) and 11% (subline SM2) with an average of 18% and heritability of rooting ability by air layering was 0,44.  


2021 ◽  
Vol 16 (2) ◽  
pp. 181-192
Author(s):  
Zuhratus Saleh ◽  
Rike Puspitasari Tamin ◽  
Maria Ulfa

Tahura Orang Kayo Hitam is one of the locations that was severely damaged due to forest fires that occurred in the peat area of Jambi Province. Natural regeneration is a possible option in restoration activities and requires the presence of a mother tree and seed dispersing agents . This study aims to identify seed dispersing agents in the Orang Kayo HitamTahura and has been carried out for 3 months from June to August 2020. These tree species were obtained by a sampling method with a plot size of 20x20 m determined by a 500 m long transect from outside the forest to inside the forest.  All trees with a diameter above 10 cm were measured and their species identified. Seed dispersing agents were identified by literature study, photo analysis and discussion with locals. The results of field data indicated that the species found in the study area were spread by wind and wildlife. From the 32 tree species were found, 10 species (32%) were spread by the wind and 22 species (68%) were spread by wild animals. The preliminary conclusion of this study is that wind and wildlife are very important in the distribution of tree seeds in burned areas.    


2021 ◽  
Vol 16 (2) ◽  
pp. 128-152
Author(s):  
Arifin Budi Siswanto ◽  
Hadinoto Hadinoto ◽  
Azwin Azwin

Underground plants have an important role in soil and air conservation efforts, namely as a source of organic matter, preventing erosion, a source of germplasm and increasing air infiltration into the soil. This study aims to identify the types, diversity and use of understorey under stands of meranti, gaharu and mixed stands in the arboretum of the Kuok Forest Plant Fiber Technology Research and Development Institute (BP2TSTH). The data collection method used systematic sampling with a random start, with a sampling intensity of 5%. The number of plots observed for meranti, gaharu and mixed stands were 50, 25 and 25, respectively, with a plot size of 2 x 2 (m). In the stands were found 17 families of undergrowth consisting of 23 species and 10,338 individuals. In the agarwood stands there are 10 families of undergrowth consisting of 13 species and 9,696 individuals. In the agarwood stands there are 11 families with a diversity of 13 species and 10,328 individuals. Diversity Index and Evenness Index in meranti, gaharu and mixed stands respectively; 1.25 and 0.4; 0.72 and 0.28; 0.72 and 0.28. Paspalum conjugatum is a understorey species with the highest Importance Value Index (IVI) in the three stands.


2021 ◽  
Vol 16 (2) ◽  
pp. 170-180
Author(s):  
Widia Istiani ◽  
Evi Sribudiani ◽  
Sonia Somadona

Utilization of biomass as biopellet is a solution for the creation of renewable alternative energy. So that a research was conducted on the manufacture of biopellets from waste shells of candlenut (Aleurites moluccana) with a mixture of waste biomass from sago stems (Metroxylon sago) and sawdust. This study aims to determine the quality and determine the composition of the best raw materials in biopellets. This study used a completely randomized design (CRD) method with four treatments and five replications. The raw materials are dried for 3 days, then mashed and filtered, then the raw materials are mixed with adhesive and printed, the last parameter is tested. The results showed that the water content, calorific value, and volatile matter content of the biopellet met the SNI standard. 8021:2014. However, in the density and ash content test, the biopellet did not meet the SNI 8021:2014 standard. The best biopellet composition was obtained in treatment P2 with the addition of 10% of the total weight of biomass with a moisture content of 9.96%, density 0.31g/cm3, calorific value 4.232 cal/g, and ash content 11.3%, and volatile matter content of 73 ,69%


2021 ◽  
Vol 16 (2) ◽  
pp. 153-169
Author(s):  
Ika Lestari Hutasuhut ◽  
Emy Sadjati ◽  
Ambar Tri Ratnaningsih

Using chainsaws in logging activities, operators need to ensure that the chainsaws used are fit for use and comply with predetermined standards, particularly in accordance with operational standards that ensure safety and health while working. Modifying the chainsaw is not justified, because it will make the operator unsafe situation. PT. PSPI is one of industrial plantation forest companies in Riau Province which currently produces timber forest products for pulp and paper raw materials. Logging activies in PT. PSPI is still using chainsaw for cutting tree. In logging activities using chainsaws, companies and operators need to ensure that the chainsaws to be used are in proper condition in accordance with predetermined operational standards, the aim to ensure operator stay safety and health while working. The result of this research in identifying chainsaw machines in logging activities carried out at PT. PSPI used 4 indicators, specification of machine chainsaw, the condition of chainsaw, the modification and the age of the chainsaw. Chainsaw is using  operators at PT. PSPI is categorized as feasibility enough for use in logging activities with a score of 70.    


2021 ◽  
Vol 16 (2) ◽  
pp. 102-112
Author(s):  
Arip Wijayanto ◽  
Nurmadina Nurmadina

Pine resin production is influenced by several factors, including altitudes and the different classes of age . In addition, the productivity of pine resin is also influenced by weather and climate. The aim of  study that entitled oductivity of Resin Pinus Merkusii Jungh Et De Vriese in Several Class Ages and Altitudes, was to investigate pine resin productivity in Forest Management Resort Guyangan, Perum Perhutani, based on variation of altitudes and class ages classified by Perum Perhutani. This study used resin production data that taped by quare methode from Forest Management Resort Guyangan, and then data were analysed with microsoft office excel. The result of this study showed that the highest pine resin productivity is 0.22 kg/tree/month for  class age (KU) V and IV,  and the lowest pine resin productivity, i.e. 0,19 kg/tree/month is for KU VII. Based on altitudes, resin productivities for 500-799 (mdpl) and 800-999 (mdpl) were 0,22 kg/tree/month and 0,20 kg/tree/month respectively. Based on this study, it can be concluded that the higher altitudes the lower pine resin productivity. Meanwile basedon the age class, the productivity of pine resin in different age class shows different values.


2021 ◽  
Vol 16 (2) ◽  
pp. 113-127
Author(s):  
Hanifah Ikhsani ◽  
Azwin Azwin ◽  
Muhammad Ikhwan

Forest Area with Special Purposes (KHDTK) Buluh Cina requires a land suitability analysis so that the development of plant species can be carried out optimally. This study aims to map land units and determine land suitability classes. This study uses aerial photography to classify land cover and take soil samples. Furthermore, overlay analysis and species matching were carried out for 7 types of plants including durian, rambutan, sengon, mango, cacao, pineapple, and corn. The land suitability class is divided into 4 levels namely, very suitable (S1), suitable (S2), marginally suitable (S3), and not suitable (N). Based on the results, the actual land suitability class at KHDTK Buluh Cina class S1 was rambutan at SPL I and III. Land suitability class S2 is rambutan at SPL II and IV. S3 land suitability classes are durian, sengon, mango, cocoa, pineapple, and corn in SPL I, II, III, and IV. The potential land suitability class at KHDTK Buluh Cina class S1 is rambutan at SPL I, II, III and IV. Land suitability class S2 is durian, sengon, and cocoa at SPL I, II, III, and IV. S3 land suitability class is mango, pineapple, and corn in SPL I, II, III, and IV.


2021 ◽  
Vol 16 (1) ◽  
pp. 37-46
Author(s):  
Kevin Ewaldo Kahimpong

Lampung is one of the provinces that has various tourist objects, one of which is the Deer Breeding in Wan Abdul Rachman (WAR) Grand Forest Park (Tahura). Its use as a tourist attracts visitors to come and have recreation. As one of the efforts for sustainable use, it is necessary to carry out an economic valuation. The purpose of this study was to calculate the willingness to pay visitors to the Deer Breeding in Tahura WAR using the willingness to pay method and to estimate the revenue received from the tourist attraction of Tahura WAR Deer Captivity. The method used in this research is the willingness to pay method with the contingent valuation method (CVM) and the total revenue method. The research was conducted from February to March 2020. The respondents selected regarding the purposive sampling method that was 100 people. The results showed that the average value of the willingness to pay visitors in Tahura WAR Deer Breeding was Rp. 12.900,-/person/visit, and acceptance of the Tahura WAR Deer Breeding was Rp. 27.552.00.000,-/year the value obtained from the willingness to pay visitors to a hypothetical market in the form of making deer conservation education packages.


2021 ◽  
Vol 16 (1) ◽  
pp. 14-24
Author(s):  
Enny Insusanty ◽  
Eno Suwarno

The research objective was to determine the level of farmer participation in forestry business development and the factors that influence farmer participation in forestry business development. This study used survey method with 32 respondents using the census of the farmers who were members of the Belutu Village farmer group. The analysis was carried out by qualitative descriptive analysis and multiple linear regression. The participation rate of forest farmers in Belutu Village was moderate, namely 46.25%, low 21.87%, 30.63% high and only 1.25% very high. The factors that influence farmer participation in forestry business in the form of pepper and honey bee cultivation were age, education, farming experience, number of family members and there was  a main / part job that have very significant effect simultaneously, while all of these factors have a very significant effect. partial is the main / part job.


2021 ◽  
Vol 16 (1) ◽  
pp. 25-36
Author(s):  
Hanifah Ikhsani

TWA Sungai Dumai is a tourist forest area and ensuring the preservation of natural potential. However, there are problems that can disrupt the sustainability of it, including forest and land fires and conversion of land use to agriculture and oil palm plantations. Until now, there is no vegetation analysis using satellite imagery in TWA Sungai Dumai, so it is important to do so that can be managed sustainably. This study  classification of vegetation density classes which are presented in the form of a vegetation density class map in it. This research uses Landsat-8 OLI / TIRS images from October 2017 and October 2020 which are processed to determine density class using Normalized Difference Vegetation Index algorithm. The vegetation density class with the highest area in 2017 was the vegetation density class (2380,832 ha or 66,819% of the total area), while the lowest area was the non-vegetation class (75,737 ha or 2,126% of the total area). The vegetation density class with the highest area in 2020 in TWA Sungai Dumai is dense vegetation density class (3205,039 ha or 89,950% of the total area), while the lowest area is non-vegetation class (1,637 ha or 0.046% of the total area)


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