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INDONESIA
Jurnal Perlindungan Tanaman Indonesia
Published by Universitas Gadjah Mada
ISSN : 14101637     EISSN : 25484788     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Arjuna Subject : -
Articles 522 Documents
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Applying Small Area Estimation to Optimize Sample Size for Brown Planthopper (Nilaparvata lugens Stal.) Density Farhan Alfian Nur; Ali Nurmansyah; I Wayan Winasa; Yeni Herdiyeni
Jurnal Perlindungan Tanaman Indonesia Vol 30, No 1 (2026): In Progress
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpti.108155

Abstract

The brown planthopper (BPH), Nilaparvata lugens Stål, is an important rice pest requiring consistent monitoring to prevent population outbreaks. However, conventional monitoring relying on large sample sizes is labor-intensive and susceptible to non-sampling errors. This study aimed to evaluate the estimation precision of the Kernel-based Small Area Estimation (SAE) method for BPH population density under significantly reduced sample size conditions. The research utilized observation data from 81 paddy fields in Subang Regency, combined with synthetic data generated via Monte Carlo simulation and variance estimation using Taylor’s Power Law. Altitude was selected as the auxiliary variable for the Kernel-based SAE model based on Spearman’s correlation analysis. The estimation quality was evaluated by comparing Relative Efficiency (RE) and Coefficient of Variation (CV) against the direct estimation method. The results showed that the Kernel-based SAE method with a 20% sample size produced reliable estimates with an RE value of less than one. Statistical tests confirmed no significant difference between the SAE method at 20% sampling and direct estimation at 100% sampling, yet the SAE method demonstrated significantly higher precision with a lower average CV (3.03%) compared to direct estimation (12.72%). In conclusion, the Kernel-based SAE method allows for an 80% reduction in sample size while delivering unbiased and more precise BPH density estimates than conventional methods.
Diurnal Predatory Insect Communities of Spodoptera frugiperda in Corn Productions across Kulon Progo Regency, Yogyakarta Nadhira Tufahati; Ichsan Luqmana Indra Putra
Jurnal Perlindungan Tanaman Indonesia Vol 30, No 1 (2026): In Progress
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpti.112107

Abstract

Spodoptera frugiperda in agroecosystems are challenged by predatory insects. There are reports of predatory insects attacking S. frugiperda on maize plants in various parts of Indonesia. The purpose of this study was to identify most abundant predators, diversity, and dominance of diurnal predatory insects fo S. frugiperda on corn plants in Kulon Progo Regency. The research was conducted from April to October 2025 in maize fields from 12 sub-districts in Kulon Progo Regency. Each sub-district sampling was done in on maize field in on village. The determination of villages as sampling locations used the multistage method, while maize fields were determined using the purposive method. The data analysis used was a correlation test between the abundance of diurnal predators and abiotic factors measured at the sampling sites, and PCA was used to detect major environmental variables associated with diurnal predators abundance. Biodiversity data were analysed using the Shannon–Wiener index, while species dominance was analysed using the Simpson index. Results showed that there were 18 species of diurnal S. frugiperda predatory insects, with the most abundant species belonging to the Coccinellidae family. Correlation analysis between species abundance and abiotic factors showed no significant relationship. The level of predator species diversity was moderate (H′ = 2.214), while the level of species dominance was low (D = 0.163).

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