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All Journal HAYATI Journal of Biosciences Jurnal Fitopatologi Indonesia Cropsaver : Journal of Plant Protection AGRIVITA, Journal of Agricultural Science Journal of ICT Research and Applications JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) Jurnal Agroteknos JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA Journal TABARO Agriculture Science PROSIDING SEMINAR NASIONAL AGRIBISNIS Jurnal Agrotek Tropika Agrokompleks
Asmar Hasan
Department Of Plant Protection, Faculty Of Agriculture, Halu Oleo University, Jalan HEA Mokodompit, Kendari 93231, Southeast Sulawesi, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Medicine & Pharmacology Veterinary

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PENILAIAN KEPARAHAN GEJALA VIRUS PADA Capsicum frutescens BERBASIS INDEKS VEGETASI DAN PENGAMATAN VISUAL DI LAPANGAN Muhammad Taufik; Asmar Hasan; Sri Hendrastuti Hidayat; Ayu Kartini Parawansa; Arifin Tasrif
Jurnal Agrotek Tropika Vol 11, No 1 (2023): JURNAL AGROTEK TROPIKA VOL 11, FEBRUARI 2023
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v11i1.6063

Abstract

Infeksi virus dapat menyebabkan gejala yang bervariasi pada tanaman. Penilaian tingkat keparahan gejala virus tanaman di lapangan umumnya menggunakan metode konvensional berbasis pengamatan visual. Seiring dengan perkembangan teknologi digital saat ini, telah dikembangkan pula metode penilaian terkini berbasis analisis citra digital. Namun informasi terkait kepresisian dan keakurasian kedua metode penilaian tersebut masih sangat terbatas khususnya penilaian keparahan gejala yang disebabkan oleh virus. Penelitian ini bertujuan untuk mengevaluasi hasil penilaian keparahan penyakit berdasarkan metode konvensional dan analisis citra digital berbasis NDVI (Normalized Difference Vegetation Index) serta membandingkan akurasi kedua metode penilaian tersebut dalam mengestimasi variabel produksi tanaman. Survei lapangan dilakukan dengan melakukan perekaman citra dan pengamatan secara visual terhadap gejala serangan virus pada tajuk tanaman cabai. Dilanjutkan dengan pengukuran bobot buah sampel tanaman, dan analisis citra digital tanaman. Hasil penelitian menunjukkan bahwa penilaian keparahan gejala virus menggunakan metode analisis citra digital berbasis indeks vegetasi NDVI lebih presisi (standar deviasi < 0,04) dibandingkan metode pengamatan visual (standar deviasi > 4,00), khususnya pada fase generatif. Selain itu, metode indeks vegetasi NDVI juga lebih akurat dalam mengestimasi bobot buah cabai karena koefisien regresi bertanda positif dengan nilai R2 > 0,90.
Evaluation of Lantana camara Leaf Extract as Biopesticide for Lifecycle Disruption in Spodoptera litura Mallarangeng, Rahayu; Syamsinar; Hasan, Asmar; Hisein, Waode Siti Anima; Taufik, Muhammad; Nuriadi; Johan, Eko Aprianto
HAYATI Journal of Biosciences Vol. 32 No. 4 (2025): July 2025
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.32.4.1053-1061

Abstract

Spodoptera litura is a destructive agricultural pest whose management is hindered by synthetic pesticides' ecological and health risks. Plant-based biopesticides, such as Lantana camara leaf extract, provide a sustainable alternative due to the presence of bioactive phytochemicals with pesticidal properties. Therefore, this study aimed to evaluate the efficacy of L. camara extract in disrupting the lifecycle of S. litura. A completely randomized design was adopted, and six treatment concentrations of L. camara extract, namely 0%, 6.25%, 12.5%, 25%, 50%, and 100%, were applied to second-instar larvae. Observations included larval development time, leaf consumption, pupation rate, pupal weight, moth emergence, and fecundity. Data were analyzed using ANOVA, and the result showed that the extract had strong dose-dependent effects on all variables. Pupation, moth development, and fecundity were inhibited by concentrations greater than 25%. Feeding activity was significantly reduced at higher concentrations, with a 100% concentration achieving a 3.67% leaf consumption rate after 48 hours. Larval development was delayed or halted entirely at critical thresholds. In conclusion, L. camara extract effectively disrupted the lifecycle of S. litura, providing immediate suppression and long-term population control. The dual-action potential, biodegradability, and natural origin made extract a sustainable alternative to synthetic pesticides. Future studies are recommended to validate these results under field conditions and evaluate impacts on non-target species.
Visual observation and image analysis method of blight disease severity for resistance assessment of two rice varieties HS, Gusnawaty; Hasan, Asmar; Rahmadani; Khaeruni, Andi; Bande, La Ode Santiaji; Taufik, Muhammad; Satrah, Vit Neru
Jurnal Hama dan Penyakit Tumbuhan Tropika Vol. 25 No. 2 (2025): SEPTEMBER, JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA: JOURNAL OF TROPICAL PLAN
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jhptt.225275-286

Abstract

Bacterial Leaf Blight (BLB), caused by Xanthomonas oryzae pv. oryzae, is a major threat to global rice production, causing yield losses of up to 80%. Accurate assessment of disease severity is essential for developing resistant rice varieties and implementing effective management strategies. However, traditional visual observation methods, while widely used, are prone to subjectivity and reduced accuracy. This study evaluates the accuracy of image analysis for assessing rice plant resistance to BLB. Disease severity was assessed using both visual observation and image analysis, with results quantified through the Area Under the Disease Progress Curve (AUDPC) and infection rate calculations. Image analysis outperformed visual observation, achieving an accuracy rate above 96%, compared to less than 90% for the latter. The Ciherang variety demonstrated greater resistance to BLB, with lower AUDPC and infection rates when assessed using image analysis. Conversely, visual observation produced contradictory results, highlighting its limitations. This study concludes that image analysis provides a more objective, reproducible, and accurate approach to assessing disease severity, with implications for breeding programs and integrated disease management systems. Further research is recommended to validate these methods across a broader range of rice genotypes and environmental conditions.
Relationship Between whitefly (Bemisia tabaci) Population and Pepper Yellow Leaf Curl Disease on Chili Plant Yield in The Field Taufik, Muhammad; Hasan, Asmar; Mallarangeng, Rahayu; HS, Gusnawaty; Khaeruni, Andi; Botek, Muhammad; Syair, Syair
CROPSAVER Vol 6, No 1 (2023)
Publisher : Departemen Hama dan Penyakit Tumbuhan Fakultas Pertanian Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/cropsaver.v6i1.44927

Abstract

Whitefly vector insects can spread the Pepper yellow leaf curl Indonesia virus (PYLCIV)  that causes Begomovirus disease. One whitefly can transmit the virus, which belongs to the Begomovirus genus. It is suspected that the more whitefly, the higher the incidence and severity of Begomovirus disease. The increased severity of Begomovirus disease can affect chili yields. This study aimed to assess the relationship between the whitefly population level, the Begomovirus disease's intensity, and the production of chili peppers. The research method used was a survey of the farmers' chili plantations. Observations of the whitefly population and disease intensity were carried out on a scheduled basis. The results showed that the whitefly population affected the incidence and severity of the disease Begomovirus. Each addition of one whitefly/leaf will increase the incidence of disease by 25.981%, the severity by 15.269%, and reduce the yield of chili plants by 40.044 kg/ha. Meanwhile, every 1% increase in the severity of Begomovirus disease will reduce the production of chili plants by 2.867 kg/ha.
Metode Infrared Thermography (IRT) untuk deteksi cepat lubang aktif tikus sawah Hasan, Asmar; Taufik, Muhammad; Khaeruni, Andi; Mallarangeng, Rahayu; Syair, Syair; Bande, La Ode Santiaji; HS, Gusnawaty; Botek, Muhammad
Agrokompleks Vol 23 No 2 (2023): Agrokompleks Edisi Juli
Publisher : Politeknik Pertanian Negeri Pangkajene Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51978/japp.v23i2.559

Abstract

Tikus sawah (Rattus-rattus argentiventer) dapat menyebabkan kerusakan yang parah pada tanaman padi sawah. Pengendalian dengan fumigasi (pengasapan) berbahan aktif sulfur dapat membunuh tikus dalam lubang pematang. Fumigasi akan efektif bila lubang aktif tikus diketahui, namun mengenali lubang aktif tikus tidaklah mudah. Tujuan penelitian ini adalah mengevaluasi potensi metode Infrared Thermography (IRT) dalam mendeteksi lubang aktif tikus sawah melalui visualisasi citra termal. Beberapa lubang tikus yang ditemukan di areal persawahan milik petani di Desa Lebo Jaya, Kecamatan Konda, Kabupaten Konawe Selatan, Provinsi Sulawesi Tenggara direkam citra termalnya menggunakan FLIR C2 Compact Thermal Imager. Selanjutnya, citra termal dan RGB (red green blue) diolah menggunakan aplikasi FLIR Tools versi 6.4.18039.1003 (FLIR® Systems, USA) dan dilanjutkan dengan analisis suhu rata-rata lubang tikus menggunakan Microsoft Excel. Hasil pengolahan citra termal menunjukkan bahwa area tanah galian lubang tikus yaitu area sisi dalam lubang berwarna lebih gelap yang menandakan bahwa suhu tanah di area tersebut lebih rendah sampai berkisar pada suhu 28 °C, sebaliknya area sisi luar lubang berwarna lebih terang yang menandakan bahwa suhu tanah yang lebih tinggi sampai berkisar pada suhu 32 °C. Metode IRT ini sangat potensial untuk dimanfaatkan sebagai metode deteksi cepat lubang aktif tikus sawah. Implementasinya bersama teknologi drone (UAV) akan mengefisienkan waktu petani saat menandai lubang aktif tikus sawah pada areal persawahan yang luas. Selain itu, pengendalian tikus dengan teknik fumigasi juga akan menjadi lebih efektif dan ekonomis.
Co-Authors Abdul Rahman Abdul Rahman ANDI KHAERUNI Andi Khaeruni Arifin Tasrif Arini, Rian Asniah Asniah Ayu Kartini Parawansa Ayu, Sukma Botek, Muhammad Eka Fatmawati Tihurua Eko Aprianto Johan Fachry Abda El Rahman Firihu, Muhammad Zamrun GUSNAWATY HS, GUSNAWATY hasdiana, hasdiana HEMI, WA Hijria Hijria Hijria, Hijria Hisein, Siti Anima Hisein, Waode Siti Anima HUTTNI, LITA OKTAFIANA Kiki Amelia, Kiki Kikin H Mutaqin KIKIN HAMZAH MUTAQIN La Ode Santiaji Bande M, Rahayu M, Rahayu MUHAMMAD TAUFIK Muhammad Taufik Muhammad Taufik Niken Nur Kasim Nuriadi Nurmini, Nurmini QAEFA YUHAJIRIN RAHAYU M, RAHAYU Rahayu Mallarangeng Rahayu Mallarangeng, Rahayu Rahmadani SABARIA, WA ODE SARAWA -, SARAWA SARAWA MAMMA, SARAWA Sarawa, Sarawa Satrah, Vit Neru SEDYO HARTONO SRI HENDRASTUTI HIDAYAT SUSLINGSIH, SRI ELSA Syair Syair, Syair Syamsuddin Syamsuddin TAKDIR SAILI TERRY PAKKI TERRY PAKKI, TERRY Ulfa, Nur Isnaini Viska Inda Variani Widodo Widodo Widodo Widodo Widodo Widodo, Catur Joko Wulansari, Tri Yuni Indah Yuswana, Agung