Article Per Year (5 Year)
p-Index From 2021 - 2026
1.235
P-Index
This Author published in this journals
All Journal Agrisocionomics: Jurnal Sosial Ekonomi Pertanian AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Jurnal Multidisiplin Dehasen (MUDE) Jurnal Ilmiah Media Agrosains AGRIEKSTENSIA Rona Teknik Pertanian Journal of Fisheries & Marine Journal of Literature Review
Arum Pratiwi
Politeknik Pembangunan Pertanian Malang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Benchmarking Pemuliaan Tanaman Modern melalui Systematic Literature Review dan Meta-analisis: Pengaruh Marker-Assisted Selection (MAS) dan Seleksi Genomik terhadap Percepatan Perakitan Varietas, Kemajuan Genetik, dan Akurasi Seleksi Mukhlis Mukhlis; Afreza Pujianto; Arum Pratiwi
Journal of Literature Review Vol. 2 No. 1 (2026): JANUARI-JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/d0c8h515

Abstract

Penelitian ini membahas percepatan pemuliaan tanaman modern melalui penerapan tiga pendekatan bioteknologi utama, yaitu Marker-Assisted Selection (MAS)/ Genomic Selection (GS), kultur jaringan, dan teknologi CRISPR-Cas. Latar belakang penelitian ini adalah lambatnya siklus pemuliaan konvensional yang menyebabkan keterlambatan dalam menghasilkan varietas unggul tahan cekaman dan penyakit, padahal kebutuhan akan peningkatan produktivitas pertanian semakin mendesak. Melalui pendekatan Systematic Literature Review (SLR) berdasarkan pedoman PRISMA 2020, penelitian ini menganalisis berbagai studi empiris dari tahun 2016–2025 untuk mengevaluasi efektivitas ketiga teknologi tersebut. Hasil kajian menunjukkan bahwa GS mampu mempercepat siklus seleksi dan meningkatkan genetic gain per satuan waktu, sedangkan MAS efektif untuk karakter yang dikendalikan gen mayor. Kultur jaringan terbukti mampu menghasilkan bibit yang seragam, bebas patogen, serta mempercepat perbanyakan tanaman, sementara doubled haploid memungkinkan pembentukan galur homozigot hanya dalam satu hingga dua musim tanam. Selain itu, CRISPR-Cas memberikan peluang besar dalam meningkatkan hasil dan mutu tanaman dengan risiko off-target yang rendah apabila dirancang secara tepat. Integrasi ketiga teknologi ini berpotensi menciptakan sistem pemuliaan tanaman yang lebih cepat, presisi, dan efisien sehingga dapat mendukung pengembangan varietas unggul secara berkelanjutan.
Pengaruh Panjang Tabung Udara Pompa Hidram Terhadap Debit Dan Ketinggian Air Irigasi Kasimirus Kemara Herin; Dwi Purnomo; Arum Pratiwi; Lisa Navitasari
Jurnal Multidisiplin Dehasen (MUDE) Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v5i3.11894

Abstract

The utilization of reservoirs as a source of agricultural irrigation in Randuagung Village, Singosari District, Malang Regency, has not been optimal due to limitations in water distribution systems to agricultural land located at higher elevations. One of the appropriate technologies that can be applied to address this problem is a hydraulic ram pump, which operates without fuel or electrical energy. This study aimed to analyze the effect of air chamber length on the discharge and water lifting performance of a hydraulic ram pump. The research employed an experimental method using a Randomized Complete Block Design (RCBD) consisting of four air chamber length treatments, namely 30 cm (P1), 45 cm (P2), 60 cm (P3), and 75 cm (P4), with five replications for each treatment. The observed parameters included inlet discharge, outlet discharge, and water discharge at various delivery heights. Data were analyzed using Analysis of Variance (ANOVA) followed by the Least Significant Difference (LSD) test at a 95% confidence level. The results showed that air chamber length had no significant effect on inlet discharge, but significantly affected outlet discharge and the pump's ability to lift water. The treatment results obtained at an air tube length of 75 cm (P4) with an outlet discharge of 0.445 L/s. At the delivery height test, only P4 was able to deliver water up to a height of 9 meters with an average discharge of 0.0078 L/s. The findings indicate that increasing the air chamber length improves pressure stability, thereby enhancing the hydraulic ram pump's performance in lifting water.
Digital Readiness and Extension Support in Chili Farmers' Plantix Adoption for Pest Control in Indonesia Putri Aulia Wardani; Gunawan Gunawan; Arum Pratiwi
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 3 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i3.1264

Abstract

Digital transformation in agriculture has encouraged the development of artificial intelligence-based applications such as Plantix, which assists farmers in diagnosing plant pests and diseases through image analysis. Although Plantix has proven technically effective, its adoption rate among Indonesian farmers remains low and is presumably influenced by internal and external factors that have not been widely studied at the local level. This study aims to analyze the factors influencing chili farmers' adoption of the Plantix application in Kayukebek Village, Indonesia. A quantitative approach was used with 58 respondents selected through purposive sampling from a population of 188 chili farmers. Data were analyzed using multiple linear regression with two independent variables: farmer characteristics (age, education, farming experience, smartphone use frequency) and environmental support and interaction (extension support, access to information and training, social influence, internet access). The results show that the regression model explains 45.5% of the variation in Plantix adoption (R² = 0.455) and is significant simultaneously (F = 5.118; p < 0.001). Partially, smartphone use frequency, agricultural extension support, and social and environmental influence significantly affect adoption (p < 0.05), while age, education, farming experience, information/training access, and internet access do not. These findings indicate that adoption is driven more by digital readiness, extension assistance, and peer influence than by farmers' demographic characteristics or the availability of infrastructure alone, and provide a basis for designing more targeted extension strategies. Contribution to Sustainable Development Goals (SDGs): SDG 1: No PovertySDG 2: Zero HungerSDG 8: Decent Work and Economic GrowthSDG 9: Industry, Innovation and InfrastructureSDG 12: Responsible Consumption and Production
Co-Authors Abdul Farid Afreza Pujianto Andi Mi&#039;rajusysyakur Muchlis Andi Nikhlani Aulia Rahmawati Budi Sawitri Dwi Purnomo Dwi Purnomo Fariz Farhan Rizkyawan Gunawan Gunawan Hamyana IGN Mudita Ikko Novia Kasimirus Kemara Herin Latarus Fangohoy Lisa Navitasari Lita Hardyati P Mukhlis Mukhlis Niken Yuni Wulandari Putri Aulia Wardani Seto Sugianto P.R. Seto Sugianto Prabowo Rahardjo Seto Sugianto Prabowo Rahardjo Sovia Sega Tatang Suryadi Veterina Azahra Firdaus Wandansari, Niken Rani Wiracha Charoendee Yunita Maimunah Yustina E.W Lea