The 3rd International Conference Community Research and Service Engagements, IC2RSE 2019, 4th December 2019, North Sumatra, Indonesia

Research Article

Logging waste of Eukaliptus ind 61 clone in industrial plantation forest, North Sumatra, Indonesia

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  • @INPROCEEDINGS{10.4108/eai.4-12-2019.2293806,
        author={Muhdi  Muhdi and Diana Sofia Hanafiah and Asmarlaili  Sahar and Anita  Zaitunah and Ridwanti  Batubara and Tommy  Silaen and Tika Yuana Sari},
        title={Logging waste of Eukaliptus ind 61 clone in industrial plantation forest, North Sumatra, Indonesia},
        proceedings={The 3rd International Conference Community Research and Service Engagements, IC2RSE 2019, 4th December  2019, North Sumatra, Indonesia},
        publisher={EAI},
        proceedings_a={IC2RSE},
        year={2020},
        month={4},
        keywords={logging waste industrial forest diameter at breast height},
        doi={10.4108/eai.4-12-2019.2293806}
    }
    
  • Muhdi Muhdi
    Diana Sofia Hanafiah
    Asmarlaili Sahar
    Anita Zaitunah
    Ridwanti Batubara
    Tommy Silaen
    Tika Yuana Sari
    Year: 2020
    Logging waste of Eukaliptus ind 61 clone in industrial plantation forest, North Sumatra, Indonesia
    IC2RSE
    EAI
    DOI: 10.4108/eai.4-12-2019.2293806
Muhdi Muhdi1,*, Diana Sofia Hanafiah2, Asmarlaili Sahar2, Anita Zaitunah1, Ridwanti Batubara1, Tommy Silaen1, Tika Yuana Sari1
  • 1: Faculty of Forestry, Universitas Sumatera Utara, Indonesia
  • 2: Faculty of Agriculture, Universitas Sumatera Utara, Indonesia
*Contact email: muhdi@usu.ac.id

Abstract

The purpose of this study was to obtain the influence of height and diameter at breast height on the volume of logging waste of Eukaliptus clone ind 61. This research was carried out at industrial forests areas of PT. Toba Pulp Lestari, North Sumatra, Indonesia. Data collection consists of primary data and secondary data. Data analysis is to know the relationship of height and diameter at breast height on the volume of logging waste. The factor seen can be analyzed using multiple linear regression analysis, to determine the relationship of variables to the volume of logging waste. This research resulted that the percentage of stump waste and stem waste were 15.38% and 84.62%, respectively. The results showed that regression model was Ŷ = 0.002X1 + 0.0049X2-0.01. The increasing in height and diameter at breast height that occurs in each tree is directly proportional to the addition of logging waste volume.