Journal of Global Sustainable Agriculture
Vol 6, No 2 (Agustus 2026)

Evaluation of Heterogeneity and Sampling Precision in the Black Bunch Census: a Study of Six Oil Palm Blocks in Banyuasin

Stenia Ruski Yusticia (Program Studi Teknologi Produksi Tanaman Perkebunan, Jurusan Rekayasa Teknologi dan Bisnis Pertanian, Politeknik Negeri Sriwijaya, Palembang, Sumatera Selatan, Indonesia)
Abbi Maulana (Program Studi Teknologi Produksi Tanaman Perkebunan, Jurusan Rekayasa Teknologi dan Bisnis Pertanian, Politeknik Negeri Sriwijaya, Palembang, Sumatera Selatan, Indonesia)
Junainah Junainah (Program Studi Teknologi Produksi Tanaman Perkebunan, Jurusan Rekayasa Teknologi dan Bisnis Pertanian, Politeknik Negeri Sriwijaya, Palembang, Sumatera Selatan, Indonesia)
Siti Rakhmi Afriani (Program Studi Teknologi Produksi Tanaman Perkebunan, Jurusan Rekayasa Teknologi dan Bisnis Pertanian, Politeknik Negeri Sriwijaya, Palembang, Sumatera Selatan, Indonesia)
M. Rezky Galang (Program Studi Teknologi Produksi Tanaman Perkebunan, Jurusan Rekayasa Teknologi dan Bisnis Pertanian, Politeknik Negeri Sriwijaya, Palembang, Sumatera Selatan, Indonesia)
Bagas Saputra (Program Studi Teknologi Produksi Tanaman Perkebunan, Jurusan Rekayasa Teknologi dan Bisnis Pertanian, Politeknik Negeri Sriwijaya, Palembang, Sumatera Selatan, Indonesia)



Article Info

Publish Date
24 Aug 2026

Abstract

The reliability of the Black Bunch Census (BBC) for production estimation is influenced by sampling-unit distribution and between-row variability. Precision information is needed to assess stability when census-row composition changes. This study evaluated between-block heterogeneity, between-row variability, mean precision, and census-row adequacy in six mature oil palm blocks in Banyuasin. A total of 1,010 numeric observations from 1,082 palm records were analyzed. Actual zeros were retained, whereas abnormal and dead-palm codes were excluded. The primary inferential units were 34 census rows. Analyses included a row-level Kruskal-Wallis test, Dunn-Holm comparisons, variance decomposition, a 20,000-replicate cluster bootstrap, stability assessment across all observed-row combinations, and age-stratum post-stratification for Block 41B. Between-block differences remained significant at the row level (H(5)=19.440; p=0.0016), although only Blocks 41B and 42B differed after Holm adjustment (p=0.019). Within-row palm variation accounted for 81.47% of total variability, compared with 11.71% between blocks and 6.82% between rows within blocks. The within-block palm-level standard deviation ranged from 1.786 to 2.682 bunches per palm. The relative confidence-interval half-width for Block 41B was 12.65%, while Block 41C was represented by only two rows. Unequal age-stratum sampling in Block 41B reduced the population-weighted mean to 5.895 bunches per palm, 4.67% below the unweighted sample mean. Within these six blocks and one observation period, BBC representativeness depended on row distribution and stratum composition rather than sampled-palm count.

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Journal Info

Abbrev

JGSA

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Environmental Science

Description

The Journal of Global Sustainable Agriculture is a journal on research and or a report and or review on the results of general agricultural research. This journal is managed and published by the Faculty of Agriculture, Muhammadiyah University of Palembang. Journal of Global Sustainable Agriculture ...