Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Wasian Jurnal Penelitian Kehutanan FALOAK Jurnal Wasian
Freddy Jontara Hutapea
Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Timber Volume Estimation Model for Commercial Tree Species in the Logging Area Concession of PT. Tunas Timber Lestari in Boven Digul, Papua Freddy Jontara Hutapea; Relawan Kuswandi
Jurnal Wasian Vol 6, No 1 (2019): Jurnal Wasian
Publisher : Balai Penerapan Standar Instrumen Lingkungan Hidup dan Kehutanan (BPPLHK)Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jwas.v6i1.4714

Abstract

The volume estimation model is one of the most important components in developing sustainable forest management. Nowadays, various models for various types of forests in Indonesia have developed. Nevertheless, these models do not represent the type of forest ecosystem in Papua. Therefore,  numerous studies are still needed to develop volume estimation model for various types of forests in Papua. This study was aimed to develop timber volume estimation model for commercial tree species in logging concession of PT. Tunas Timber Lestari in Sesnukt District, Boven Digul Regency, Papua Province. A total of 164 trees were chosen to develop the model and 50 trees for model validation. The result showed that diameter did not have a strong correlation with tree height. Therefore, the model should be developed using the combination of diameter and tree height. The best model in the development stage was selected based on the value of coefficient of determination (R2), standard error of the estimate (SEE), and Ftest. The best model in the validation stage was selected based on the value of bias (e), root mean square errors (RMSE), average deviation (SR), aggregative deviation (SA), and χ2test.. The best model for timber volume estimation in PT. Tunas Timber Lestari are V = 0.00007594 D1.978 H0.923. Keywords: commercial tree species, diameter, timber volume estimation, tree height, volume
POTENSI DAN SEBARAN MASOI (Cryptocarya massoy) DI PAPUA BARAT Freddy Jontara Hutapea
Journal Penelitian Kehutanan FALOAK Vol 4, No 1 (2020): Jurnal Penelitian Kehutanan Faloak
Publisher : Balai Penelitian Dan Pengembangan Teknologi Hasil Hutan Bukan Kayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jpkf.2020.4.1.57-70

Abstract

Masoi (Cryptocarya massoy) merupakan salah satu jenis tumbuhan penghasil HHBK unggulan Papua. Tumbuhan ini mengandung senyawa masoilakton yang dapat digunakan sebagai bahan baku untuk industri makanan, kosmetik, dan obat-obatan. Sampai saat ini, permintaan terhadap masoi masih sangat tinggi. Sementara itu, pasokan masoi pada pasar internasional masih didominasi oleh masoi dari Papua. Hal ini mengakibatkan terjadinya eksploitasi berlebih terhadap masoi di alam. Bila kondisi ini terus berlanjut, masoi dikhawatirkan akan punah dimasa depan. Sampai saat ini, informasi mengenai potensi masoi di hutan alam belum tersedia dengan baik. Oleh sebab itu, berbagai studi yang dapat menggambarkan keberadaan masoi di hutan alam Papua masih sangat diperlukan. Studi ini diperlukan dalam upaya mendorong perbaikan pengelolaan masoi di Papua. Penelitian ini bertujuan untuk mengetahui potensi dan sebaran masoi di Papua. Survei potensi masoi dilaksanakan di PT. Yotefa Sarana Timber di Kabupaten Teluk Bintuni dan PT. Wanakayu Hasilindo di Kabupaten Kaimana, menggunakan metode line plot sampling. Hasil penelitian menunjukkan bahwa potensi masoi di Kabupaten Teluk Bintuni lebih tinggi daripada Kabupaten Kaimana. Potensi masoi di Kabupaten Teluk Bintuni adalah 1.593 individu/ha, yang terdiri dari semai (1.500 individu/ha) dan pancang (93 individu/ha). Potensi masoi di Kabupaten Kaimana hanya sekitar 871 individu/ha, yang terdiri dari semai (750 individu/ha), pancang (120 individu/ha), dan pohon (1 individu/ha). Keberadaan masoi pada tingkat tiang dan pohon sudah sangat mengkhawatirkan karena aktivitas pemanenan yang dilakukan oleh masyarakat lokal. Hasil penelitian juga menunjukkan bahwa masoi tumbuh tersebar dan jarang mengelompok. Masoi tumbuh pada ketinggian 50-500 mdpl (Kabupaten Teluk Bintuni) dan 50-1.100 mdpl (Kabupaten Kaimana).
Timber Volume Estimation Model for Commercial Tree Species in the Logging Area Concession of PT. Tunas Timber Lestari in Boven Digul, Papua Freddy Jontara Hutapea; Relawan Kuswandi
Jurnal Wasian Vol 6, No 1 (2019): Jurnal Wasian
Publisher : Balai Penerapan Standar Instrumen Lingkungan Hidup dan Kehutanan (BPPLHK)Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.618 KB) | DOI: 10.20886/jwas.v6i1.4714

Abstract

The volume estimation model is one of the most important components in developing sustainable forest management. Nowadays, various models for various types of forests in Indonesia have developed. Nevertheless, these models do not represent the type of forest ecosystem in Papua. Therefore,  numerous studies are still needed to develop volume estimation model for various types of forests in Papua. This study was aimed to develop timber volume estimation model for commercial tree species in logging concession of PT. Tunas Timber Lestari in Sesnukt District, Boven Digul Regency, Papua Province. A total of 164 trees were chosen to develop the model and 50 trees for model validation. The result showed that diameter did not have a strong correlation with tree height. Therefore, the model should be developed using the combination of diameter and tree height. The best model in the development stage was selected based on the value of coefficient of determination (R2), standard error of the estimate (SEE), and Ftest. The best model in the validation stage was selected based on the value of bias (e), root mean square errors (RMSE), average deviation (SR), aggregative deviation (SA), and χ2test.. The best model for timber volume estimation in PT. Tunas Timber Lestari are V = 0.00007594 D1.978 H0.923. Keywords: commercial tree species, diameter, timber volume estimation, tree height, volume
Co-Authors Relawan Kuswandi