Claim Missing Document
Check
Articles

Found 2 Documents
Search

Penerapan Perangkap Lampu LED Sebagai Upaya Pengendalian Hama Ramah Lingkungan di Lahan Sawah Desa Tawengan Anditya Gilang Rizky Pradana; Cahyaningtyas Putri Suhita; Desy Setyaningrum; Dewi Nawang Suprihatin; Didik Suryadi; Dimar Hantari; Edi Paryanto; Febry Nurhidayati; Hardian Ningsih; Zainal Arifin
Kreasi: Jurnal Inovasi dan Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Juli
Publisher : BALE LITERASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kreasi.v6i2.4011

Abstract

Tawengan Village, Sambi District, Boyolali Regency, is an agricultural area where the majority of the population earns their livelihood from rice farming. Rice farmers in Tawengan Village, particularly members of the Amrih Tentrem Farmer Group, face various cultivation challenges, one of the most significant being severe insect pest infestations that reduce rice production. Stem borers, green leafhoppers, rice bugs (Leptocorisa spp.), and other insect pests have caused an estimated 31% decline in rice productivity, as well as deterioration in grain quality. This community service program aimed to address these challenges through the implementation of LED light trap technology as an environmentally friendly pest management method in rice cultivation. The technology utilizes LED light to attract and capture insect pests, thereby suppressing pest populations and reducing pest-related damage without leaving harmful chemical residues. The program was conducted in Tawengan Village, Sambi District, Boyolali Regency. Its implementation consisted of two main activities: educational outreach and apllying the installation of LED light traps. The educational outreach was delivered through interactive presentations, group discussions, and question-and-answer sessions to enhance farmers' understanding of environmentally friendly pest management. Subsequently, the LED light traps were installed using a participatory and demonstrative approach, actively involving farmers in demonstration plots managed by the Amrih Tentrem Farmer Group. This program also contributes to the achievement of the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) by enhancing farmers' knowledge and technical competencies in implementing environmentally friendly pest management technologies, and SDG 17 (Partnerships for the Goals) by fostering collaboration among universities, the village government, farmer groups, and local farmers in the implementation and dissemination of sustainable pest control technology.
Biocontrol of Beauveria bassiana Against Leptocorisa acuta in Rice (Oryza sativa) Gen Adi Wisanggeni; Febry Nurhidayati
Jurnal Biologi Tropis Vol. 26 No. 2 (2026): April - Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i2.11658

Abstract

The rice bug (Leptocorisa acuta) is a major pest during the grain filling stage of rice (Oryza sativa L.), causing significant yield losses. The use of entomopathogenic fungi such as Beauveria bassiana offers an environmentally friendly alternative for pest control. This study aimed to evaluate the effectiveness of B. bassiana against rice bug under screen house conditions. The experiment was conducted by applying a suspension of B. bassiana (100 g formulation per liter of water) through direct spraying on rice plants infested with 11 adult rice bugs. Observations were conducted for seven days after application. Results showed that mortality began on the third day after treatment and reached 45.45% by the sixth day. Infected insects exhibited reduced movement, decreased feeding activity, body discoloration, and external white mycelial growth. Laboratory confirmation showed typical morphological characteristics of B. bassiana. These results indicate that B. bassiana has potential as a biological control agent against rice bug, although further studies with larger sample sizes and statistical analysis are required to optimize its field application.