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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Fitopatologi Indonesia Jurnal Tanaman Industri dan Penyegar Jurnal Ilmu-Ilmu Pertanian Indonesia Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Perlindungan Tanaman Indonesia JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA JURNAL AGRONIDA Jurnal Entomologi Indonesia Asean Journal of Science and Engineering (AJSE) Biodiversitas Journal of Biological Diversity
Ali Nurmansyah
Department Of Plant Protection, Faculty Of Agriculture, IPB University. Jl. Kamper IPB University Campus Dramaga, Bogor, West Java, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology

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Application of Gaultheria essential oil attractant to increase abundance zigzag ladybird beetle (Cheilomenes sexmaculata) and other coccinellids SISKA EFENDI; DADANG DADANG; I WAYAN WINASA; ALI NURMANSYAH
Biodiversitas Journal of Biological Diversity Vol. 26 No. 6 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260612

Abstract

Abstract. Efendi S, Dadang, Winasa IW, Nurmansyah A. 2025. Application of Gaultheria essential oil attractant to increase abundance zigzag ladybird beetle (Cheilomenes sexmaculata) and other coccinellids. Biodiversitas 26: 2674-2683. Gaultheria essential Oil (GeO) has the potential to be used as an attractant for Cheilomenes sexmaculata because of its high Methyl Salicylate (MeSA) content. The research aimed to evaluate the effectiveness of GeO attractant against C. sexmaculata and its effect on other coccinellids. The tested GeO attractant doses were 0.25 mL, 0.5 mL, 1 mL, and 2 mL/dispenser. The data was analyzed with the Kruskal-Wallis non-parametric median test, with a Mann-Whitney post-test corrected Holm test. The analysis uses the ggstatsplot package version 0.13.0 in R Studio software version 4.4.2. The causal relationship between attractants, abundance, coccinellid richness, and chili (Capsicum annuum) yield was analyzed using a Structural Equation Model (SEM). The results showed that GeO attractant affects the abundance of C. sexmaculata. The attractant GeO also accelerates the presence of C. sexmaculata in chili crops. In addition, GeO attractants also affect the abundance of other predatory coccinellids, namely Micraspis lineata, Harmonia decussata, Coelophora maculata, Coleophora inaequalis, Scymnus sp., Curinus coeruleus, Coccinella transversalis, and Cryptolaemus montrouzieri. The application of GeO attractants, abundance of C. Sexmaculata and Aphis gossypii are directly and significantly related to chili yield. GeO attractant can be a new component of Integrated Pest Management (IPM) to control A. gossypii in chili cultivation.
Drone-assisted augmentation of the parasitoid Anagyrus lopezi for cassava mealybug control in Indonesia MUHAMMAD ALIMUN WASIK; DEWI SARTIAMI; ALI NURMANSYAH
Biodiversitas Journal of Biological Diversity Vol. 26 No. 12 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d261241

Abstract

Abstract. Wasik MA, Sartiami D, Nurmansyah A. 2025. Drone-assisted augmentation of the parasitoid Anagyrus lopezi for cassava mealybug control in Indonesia. Biodiversitas 26: 6437-6446. The cassava mealybug, Phenacoccus manihoti, is an invasive pest that causes severe damage and economic loss in cassava production in Indonesia. Biological control using the parasitoid Anagyrus lopezi to manage P. manihoti has proven effective; however, its manual releases remain constrained by time, labor, and cost. This study evaluated the effectiveness and operational efficiency of A. lopezi augmentation using drone-assisted and manual release techniques in cassava fields. Effectiveness was measured by the parasitism rate of A. lopezi on P. manihoti, while efficiency was assessed through cost and time analyses. The augmentation treatment significantly increased the parasitism rate (F = 1955.78; df = 2,11; p<0.001). Parasitism rates under both release techniques were 47.18±0.92% for drones and 46.87±1.04% for manual release, compared with 16.11±0.59% in the control plots. The comparable parasitism rates achieved by drone-assisted and manual releases indicate that drone deployment maintains comparable biological effectiveness to manual augmentation. Moreover, drone application requires only 25 minutes per hectare, compared to 200 minutes per hectare manually. Although the initial cost of drone use was higher at small operational scales, economic analysis indicated a break-even point at approximately 25 ha. These findings demonstrate the feasibility of drone-assisted parasitoid deployment as an operationally efficient approach for large-scale biological control of P. manihoti. This contribution strengthens area-wide Integrated Pest Management (IPM) programs by enabling synchronized parasitoid augmentation while also supporting the broader development of smart-agriculture technologies for cassava-based farming systems.
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)
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.
Co-Authors . Giyanto Abdul Munif Akhmad Rizal Akhmad Rizali Allen Okta Kusmita Amanatillah, Niky Elfa Arifah Rahayu Ariffatchur Fauzi Atia Rohmah Auliya Selamet Aunu Rauf Aunu Rauf Aunu Rauf AUNU RAUF BANDUNG SAHARI Bonny Poernomo Soekarno Bonny Purnomo Wahyu Soekarno Bonny Purnomo Wahyu Soekarno Bonny Purnomo Wahyu Sukarno Budi, Ferri Stya Busyairi Latiful Ashar Dadan Hindayana Dadang Dadang DAMAYANTI BUCHORI Darmayanti Buchori Dede Maryana Dewi Sartiami Fanani, Muhammad Zainal Farhan Alfian Nur Gede Suastika Gede Suastika Gede Suastika Giyanto Giyanto Hendrival Hendrival HENNY HENDARJANTI Hermanu Triwidodo I Kadek Wisma Yudha I Nyoman Wijaya I Wayan Eka Karya Utama I Wayan Laba I Wayan Supartha I Wayan Susila I Wayan Winasa Inrianti Sari Handayani Irvan Zidni Ita Fitriana Ketut Ayu Yuliadhi Kikin H Mutaqin Lukvitasari, Luna Magdalena Magdalena Mayasari, Astrid Meity Suradji Sinaga Meliyana Mimi Sutrawati Mimi Sutrawati Mubin, Nadzirum Muhamad Nurhuda Nugraha MUHAMMAD ALIMUN WASIK Muhammad Ikhsan Muhammad Zainal Fanani Muhammad Zainal Fanani Muhammad Zainal Fanani Nina Maryana Nirma Septia Ramlan Anjas Nopriawansyah Nopriawansyah Pudjianto Pudjianto PURNAMA HIDAYAT Putri, Nhyra Kamala Putu Angga Wiradana Raden Mohamad Herdian Bhakti RAUF, AUNU Roedhy Poerwanto Roestamy, Martin Roschon Ubaidillah Saputra, Bubun Afif Hidayat Aziz Setyono, S. SISKA EFENDI Siska Efendi Siti Tri Wahyuni SRI HENDRASTUTI HIDAYAT Sugeng Santoso Sugeng Santoso Supramana Supramana Suryo Wiyono Swastiko Priyambodo Teguh Pratama Utami, Aidha Wasik, Muhammad Alimun Widodo Widodo Widodo Widya Sari YAYI M. KUSUMAH Yeni Herdiyeni Yonny Koesmaryono Zulaika Zulaika