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 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.
The existence of forest management institutions based on the site level is the philosophy of the birth of an FMU. The purpose of this study is directed to provide an overview related to the performance of FMU development carried out by the Government (central and regional) in Indonesia. This research was conducted during the period of February 2015 to February 2019 in eight FMU areas in seven provinces in Indonesia. Technical data and information through stakeholder interviews result from verification workshops and secondary supporting data collection. The data and information collected are then processed into a working paper on the FMU Development Performance Assessment tool using FWI 1.0 and FWI 2.0 Criteria and Indicators, compiled by Forest Watch Indonesia (FWI). The results are presented in the form of an index by calculating the total value of all data units then divided by the number of data units. The FMU development performance evaluation index can be categorized into three classes, namely high, medium, and low. The results of studies in eight FMU areas illustrate that FMU development at the site level still faces various challenges and problems. The main problems faced are focused on three main aspects namely; Regional Stability which includes clarity of boundaries and tenure conflicts; Institutional Aspects concerning political support and institutional capacity in supporting the operation of FMUs; and the planning aspect which concerns the bureaucratic chain and the stability of the FMU development platform at the site level. Comprehensive efforts from stakeholders are needed to encourage the optimization of FMU functions and roles at the site level.
Through this research, we tried to examine the social and economic characteristics of harvesting non-timber forest products during the pandemic. On the other hand, this research tries to describe the socio-economic characteristics of Pinus merkusii sap tappers and the effects on their income in Cenrana Baru Village, Cenrana District, Maros Regency. Data collection process was carried out directly using interview techniques to 30 respondents who were selected by purposive sampling. Data from the interviews then processed and analyzed using descriptive analysis methods and quantitative analysis. The results of the research that have been conducted show that the socio-economic characteristics of tappers based on the results of the study are the average age of tappers is around 41-48 years which is included in the productive age, the level of education is still low with a percentage of 50% are elementary school graduates, the amount of the average family dependents included in the category of small family with the number of dependents 1-2 people, the main livelihood is as farmers, the tappers have an average 1-2 ha of tapping area, the number of tapped pine trees is at intervals of 20-32 trees with a percentage of 27%, the average age of pine is 40 years, the production of sap produced by tappers are average 176-367 kg per month with a percentage of 53% and the average income of tappers is IDR 2.523.661,27 per month where the income of tappers is still below minimum wage (City or Regency Minimum Wage/UMK) of Maros Regency 2019 that is IDR 3.100.000,00. The socio-economic characteristics are thought to have an effect on tappers’ income are age, family dependence, type of work, land ownership, working hours, number of trees, age of pine and sap production. Pine sap production has a significant positive effect at the 99% confidence level and land area has a significant effect on total household income at the 95% confidence level.
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