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All Journal Buletin Agrohorti Naturalis : Jurnal Penelitian Pengelolaan Sumberdaya Alam dan Lingkungan AGRIVITA, Journal of Agricultural Science ELINVO (Electronics, Informatics, and Vocational Education) Akta Agrosia Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis
Atra Romeida
University of Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences Other

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Evaluasi Kesesuaian Lahan Sawah Berdasarkan Status Hara Di Kecamatan Seluma Selatan, Kabupaten Seluma Afrisa, Hendrio; Barchia, M. Faiz; Ganefianti, Dwi Wahyuni; Chozin, Mohammad; Romeida, Atra
Naturalis: Jurnal Penelitian Pengelolaan Sumberdaya Alam dan Lingkungan Vol. 14 No. 01 (2025)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP), Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/naturalis.14.01.40996

Abstract

The low productivity of rice in Seluma Selatan District is caused by fertilization actions based on general recommendations and not based on site-specific recommendations. In fact, fertilization should be based on soil nutrient status, especially N, P and K. This study aims to determine the nutrient status and evaluate the suitability class of lowland rice in Seluma Selatan District, Seluma Regency. This study used survey methods, soil sampling, and laboratory analysis, then matched it with the soil fertility level classification system and land suitability classification. The results showed that the nutrient status of paddy fields in Seluma Selatan sub-district in low-medium rice fields was categorized. It is characterized by an acidic pH value and low P2O5 in providing nutrients for lowland rice plants. Evaluation of land suitability in Seluma Selatan sub-district shows that the land suitability classes are S2 and S3.The results of the evaluation of the most suitable land suitability for land unit 2 (Au.1.1.1) were quite suitable for S2n with available nutrient limiting factors at the P2O5 level and marginally suitable for S3n on land unit 4 (Hab.1.1.1) with available nutrient limiting factors at P2O5 and K2O levels. Efforts to improve the suitability class S2 (fairly suitable) can be increased to S1 class (very suitable) and the S3 land suitability class (marginally appropriate) can be increased to S2 (quite suitable).
Analysis of The Implementation of Sustainable Food Agricultural Land Protection Policy in Musi Rawas District Using the Interpretive Structural Modeling Method Indarwanto; Yuwana; Romeida, Atra; Senoaji, Gunggung; Reflis; Yuristia, Rahmi
Jurnal AGRISEP JURNAL AGRISEP VOL 24 NO 02 2025 (SEPTEMBER)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jagrisep.24.02.791-808

Abstract

This study focuses on analyzing the implementation of Musi Rawas Regency Regional Regulation Number 3 of 2018 concerning Sustainable Food Crop Land Protection (LP2B). In the study, interviews were conducted with informants related to the research aimed at developing a strategy for implementing Musi Rawas Regency Regional Regulation Number 3 of 2018, concerning the protection of sustainable food crop land in Musi Rawas Regency. The method used in this study is interpretive structural modelling (ISM). The ISM method is a modeling technique that can summarize expert opinions to provide specific opinions on the hierarchy of sub-elements according to each element contained in the system. The results obtained from this study indicate that the main obstacle is the lack of optimal socialization regarding sustainable food crop land protection policies to the community, and the need for increased farmer training to implement sustainable agricultural practices to protect food crop areas and land sustainably.
Penentuan Karakter Seleksi dan Seleksi Individu F2 Persilangan Tomat Buah Besar dengan Buah Kecil Saputra, Helfi Eka; Ganefianti, Dwi Wahyuni; Romeida, Atra
Buletin Agrohorti Vol. 13 No. 3 (2025): Buletin Agrohorti
Publisher : Departemen Agronomi dan Hortikultura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/

Abstract

Persilangan tomat buah besar dengan buah kecil akan menghasilkan keragaman yang tinggi pada populasi F2. Penentuan karakter seleksi dan seleksi individu pada populasi F2 sangat dibutuhkan untuk mendapatkan genotipe terbaik. Penelitian bertujuan untuk menentukan karakter-karakter yang memberikan kontribusi langsung dan tidak langsung terhadap hasil dan memperoleh individu F₂ unggul yang berpotensi sebagai galur terbaik. Penelitian dilaksanakan di Kelurahan Kandang Limun, Kota Bengkulu dengan ketinggian 10 m dpl (dataran rendah). Populasi yang digunakan adalah F2 hasil persilangan tomat buah besar dengan buah kecil sebanyak 200 tanaman. Hasil penelitian menunjukkan bahwa karakter jumlah buah per tanaman merupakan karakter seleksi utama. Karakter tinggi tanaman, umur berbunga, panjang buah, diameter buah, dan tebal daging buah juga berperan penting sebagai pendukung peningkatan hasil. Dua puluh genotipe F₂ terbaik yang terseleksi adalah TMU-9, TMU-184, TMU-215, TMU-198, TMU-164, TMU-191, TMU-214, TMU-204, TMU-10, TMU-163, TMU-193, TMU-194, TMU-44, TMU-207, TMU-213, TMU-195, TMU-61, TMU-220, TMU-166, dan TMU-201.  Kata kunci: analisis lintas, genotipe, kemajuan genetik, indeks seleksi
Genotypic and Phenotypic Variability and Heritability of Generative Traits, Yield Components, and The Yield in 39 Cayenne Pepper (Capsicum annuum L.) Genotypes Almunawar, Said Agil; Herison, Catur; Handajaningsih, Merakati; Alnopri; Romeida, Atra; Rustikawati; Sukisno
Akta Agrosia Vol 28 No 1 (2025)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP), Fakultas Pertanian, Universitas Bengkkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/aa.28.1.42-50

Abstract

Cayenne pepper is a horticultural crop with high economic value, and its productivity can be improved through plant breeding programs. Genotypic and phenotypic variability, and heritability are important parameters for such programs. This study aimed of obtaining information on genotypic and phenotypic variability as well as heritability of generative traits, yield components, and the yield in 39 cayenne pepper genotypes. The research was conducted from May to October 2024 at the Experimental Farm, the University of Bengkulu. A Randomized Complete Block Design (RCBD) was used, involving 39 genotypes planted in three replications, with 20 plants per replication. The results showed broad genotypic variability was found in days to anthesis, days to first harvest, number of fruits per plant, fruit diameter, fruit length, pedicel length, and average fruit weight. Broad phenotypic variability was observed in all traits. High heritability was found in days to anthesis, fruit diameter, fruit length, and average fruit weight. These findings are highly valuable for determining effective selection strategies in plant breeding and the development of superior cultivars. Keywords: breeding, chili pepper, diversity, genotypic variance, phenotypic variance.  
Implementation of Vision Transformer (ViT) Method in Identifying Orchid Genus Based on Flower Images Vatresia, Arie; Cahyani, Seprina Dwi; Susanto, Agus; Romeida, Atra
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 2 (2025): November 2025 (In-Press)
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i2.90056

Abstract

There are about 15,000 to 20,000 orchid species around the world, spread across more than 900 genera. They come in many different shapes, sizes, and colors. This wide range of species makes it hard to tell them apart, especially for people who aren't experts. Bengkulu is one of the provinces on the island of Sumatra. It is known for its historical and cultural heritage as well as its rich biodiversity, especially its native plants like orchids. However, it is still hard to tell what they are. The identification process can be made better by using the breakthrough in artificial intelligence of the transformer. The goal of this study is to create an Android app that can use the Vision Transformer (ViT) architecture to identify five types of orchids: Bulbophyllum, Cymbidium, Dendrobium, Phalaenopsis, and Vanda. We used open-source libraries to collect data, which included 1,500 images that went through preprocessing steps. The experimental results show that the ViT-Base16 model with 25 epochs did the best job, getting an accuracy of 0.98 on the test dataset. However, it was hard to classify the genus Dendrobium in all trials because it had a lot of different shapes. The application testing gave good results, with scores of 81.13 for ease of use, 82.5 for accuracy, and 83.06 for usefulness. These results indicate that the application successfully aids in the identification of orchid genera, serving as a useful resource for both educational and practical applications
Co-Authors Afrisa, Hendrio Agus Martono Agus Susanto AGUS SUSATYA Almunawar, Said Agil Alnopri Anwar, Guswarni Arie Vatresia Bambang Gonggo Murcitro Bambang Purnomo Barchia, M. Faiz Cahyani, Seprina Dwi Damres Uker Dwi W Ganefianti Dwi Wahyuni Ganefianti, Dwi Wahyuni Eko Suprijono Febriyani, Sustri Gunggung Senoaji Helfi Eka Saputra Herison, Catur Hidayat Hidayat Indarwanto Marwanto Marwanto, Marwanto Meko Gustian Merakati Handajaningsih Mimi Sutrawati Mohammad Chozin, Mohammad Rahayu, Hatari Rahayu, Hatari Rani, Eka Reflis Reny Herawati Rustikawati Rustikawati Saputra, Eko Adi Satria Putra Utama Sukisno Supanjani, Supanjani Surjono H. Sutjahjo Teguh Adiprasetyo Usman Siswanto Wati, Shinta Puspita Yulian, Yulian Yulian, Yulian Yuristia, Rahmi Yuwana