This study aimed to determine the volume of felling waste, the waste utilization prospects and the factors that influence the amount of felling waste in community forests. This study was conducted in December 2017 through February 2018 in the community forests in Pinang village, Cendana District of Enrekang Region. The method used in this research was descriptive and quantitative analysis. The descriptive analysis aimed to describe and explain teak logging activities while quantitative analysis carried was undertaken for the diameter measurement and calculate of waste volume generally observed in this study are community forest enforce be felled within the study site. The results of this study showed that the total volume of waste was 0.128 m3 with the percentage of 18.492% derived from stump waste, waste of main stem, branch and above the bole waste. Prospects of utilization of felling waste especially waste branch at Bangka Trading Business can be created as a furniture raw material and firewood. Factors that influence the amount of felling waste were labor and industrial demand factor.
This research purpose to understand the technique of forest honey bee harvesting and income of local community who harvest the honey of forest honey bee in District of Mallawa, Regency of Maros. Data was obtained through observation, intervieuw and discussion method to the related stakeholders and collected by using purpossive sampling method. The number of respondents involved in this research were 30 persons. Data that have been collected then calculated, tabulated and descriptively analyzed according to research objective. The result of research shows that technique of forest honeybee harvesting consists of several steps. The first step was preparation of harvesting tools such as amung used for smoking the honey comb, kondre for putting the honey comb in container and stain for climbing the tree. The next steps were climbing the tree, taking and sorting the honey comb from the tree, putting down the honey comb, compressing the honey comb and packing the honey. Harvest yield of honey was 1,601,25 kg/year or Rp 28,200,000/year or the average was Rp. 940,000/year. Key words: Technique harvesting, honey bee, local community around the forest area, income
Forest destruction has been found to be the cause of natural disasters in the form of floods, landslides in the rainy season, droughts in the dry season, climate change, and global warming. The high rate of forest destruction is caused by various factors, including weak law enforcement efforts against forestry crimes, such as illegal logging events. However, in Indonesia, illegal logging is only discovered when the perpetrator has distributed the wood products. The lack of monitoring of the overall condition of the forest has an impact on the current high level of forest destruction. Through this research, the problems related to environmental damage due to illegal logging will be described through remote sensing technology, which is currently mainly developed on the basis of artificial intelligence and machine learning, namely Google Earth Engine (GEE). Monitoring of illegal logging events will be analysed using Sentinel 1 and 2 data. Obtaining satellite imagery with relatively small cloud cover for tropical regions, such as Indonesia, is remarkably difficult. This difficulty is due to the presence of a radar sensor on Sentinel 1 images that can penetrate clouds, allowing for observation of the forest condition even in the presence of clouds. Using the random forest classification algorithm of the GEE platform, data on forest conditions in 2021 were obtained, covering an area of 2,843,938.87 ha or 63% of the total area of Sulawesi Selatan Province. An analysis using a map of the function of forest areas revealed that of the current forest area, 38.46% was non-forest estates and 61.54% was forest areas. The continued identification of illegal logging events also found 1971 spots of forest change events in the vulnerable time of the first period (January–April) with the second period (April–August), and 1680 spots of forest change events in the vulnerable period of the second period (April–August) with the third period (September–December), revealing a total incident area of 7599.28 ha.
This study aims to explain how a peasant community makes decisions in response to recurring crises in order to maintain their farms, and the extent to which vulnerability contexts and (external) institutions influence peasants’ decision-making regarding their livelihoods. In doing so, we present a case study of the Village of Ranga, in the South Sulawesi Province, Indonesia, where data collected through semi-structured interviews, observation, and Focus Group Discussion (FGD). Data regarding farmers' livelihood strategies in responding to the crises, in the form of commodity booms and busts, is analyzed by employing a sustainable rural livelihoods framework, while a Chayanovian “balance” approach is used to understand peasants’ decision making and the extent to which they retain operations as ‘peasant farms’. We found that the most critical vulnerability that directly contributes to changes in the peasants' livelihood trajectories is successive shocks in the form of physical disturbances to plants and land. In making decisions regarding changes in livelihood strategies when facing crises, farmers seem to be pushed to abandon various balances they previously upheld, except to some extent the labor-consumption balance. This change potentially deepens the vulnerability of the Ranga Village peasants by adding more exposure to volatile markets and environmental pressure (such climate-induced hazards, pests, disease, and water crisis). This research can help us to understand the nature of the peasant responses in times of crises, and therefore help to inform the scanning of potential strategic measures for rural agricultural development in order to increase agricultural resilience.
This study aims to analyze the efficiency of types of chainsaws in logging activities and find out the needs of chainsaws in logging activities at PT. Inhutani 1 Gowa Regency. This research was carried out in December 2018 in industrial plantations in Parangloe District, Gowa Regency using quantitative analysis using tree volume calculation formula, log base area, volume sortimen log formula, logging productivity, estimation of chain saw needs, analysis of logging costs, and analyze the logging efficiency of the chainsaw type. Based on the results of the study, it is known that the production plan for each logging group is 256.69 m3/ month/chainsaw while the average production of the three logging groups is 171,308 m3/month/chainsaw. The average logging productivity of these three logging groups is 0.607 m3/hour/unit. The estimation of the need for an efficient chain saw for logging group A is 1 chainsaw unit type MS-STIHL 070 and 1 unit MS-STIHL 381 while in the logging group B is 1 chainsaw unit type MS-STIHL 381 and for logging group C requires 1 unit chainsaw type Ms-STIHL 070 and 1 unit Ms-STIHL 381. The logging activity in this plantation has a chainsaw efficiency of 44.2% for type MS-STIHL 070 and for Ms-STIHL 381 has an efficiency of 45.7% meaning that the use of the number and type of chainsaws is less efficient because the number of chainsaws is used excessively so that the amount of timber production is more than the production plan which results in waste of costs on the chainsaw used.
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