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All Journal Jurnal Lahan Suboptimal Journal of Information Systems and Informatics SRIWIJAYA JOURNAL OF ENVIRONMENT Journal of Smart Agriculture and Environmental Technology
Nearti, Yuwinti
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Energy Environmental Science Public Health Veterinary

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Optimizing rice farming business inputs in shallow freshwater swamp (case study of Sungai Dua Village, Rambutan District, Banyuasin Regency) Nearti, Yuwinti; Zuliansyah, Muhammad Andri; Jayanti, Nirmala
Jurnal Lahan Suboptimal : Journal of Suboptimal Lands Vol. 13 No. 1 (2024): JLSO
Publisher : Research Center for Suboptimal Lands (PUR-PLSO), Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jlso.13.1.1024.660

Abstract

One of the food crops that was widely cultivated by the community was lowland rice. Food security was a superior commodity where lowland rice was the icon. The objectives of this research was to determine the use of production factors in optimizing rice based on output effects through farming inputs and to determine production factors in the economic efficiency of rice farming. The research used production function analysis Cobb Douglas and Marginal Product Value. The production factor data analysis method used multiple regression analysis with software SPSS 25 while Marginal Product Value (NPM) used Stochastic Frontier Analysis (SFA). The results of the research showed that production factors that could influence the input of rice farming consist of fertilizer and seeds, where each time more input was used for the part needed, the farmer's income in planting period 1 was higher than planting period 2. Lowland rice farming in Sungai Dua Village, District Rambutan Banyuasin Regency in shallow swampy areas, after Marginal Product Value analysis was carried out, the planting season for both period 1 and period 2 was declared inefficient. Farming inputs that were not yet optimal in shallow swampy areas consist of fertilizer and seeds. The seeds used by Inpara 2 were suitable for swampy land but were still used excessively, while fertilizer was an increase in nutrients for the soil and plants but the use was still small due to farmers' limited capital. limited. F-hit >F- tab in each stratum with a confidence level of 95% in each stratum, it was stated that the independent variables together have a significant effect on the dependent variable. Intensification of plant maintenance was given more attention by increasing the use of labor to support increased output and maximum income.
Comparing CNN Models for Rice Disease Detection: ResNet50, VGG16, and MobileNetV3-Small Roseno, Muhammad Taufik; Oktarina, Serly; Nearti, Yuwinti; Syaputra, Hadi; Jayanti, Nirmala
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.865

Abstract

The Oryza sativa (rice) plant is an important staple food source, especially in the Asian region. Rice production is often disrupted by diseases such as Brown Spot, Leaf Scald, Rice Blast, Rice Tungro, and Sheath Blight, which can reduce yield and crop quality. This research aims to classify rice plant diseases using a deep learning approach with Convolutional Neural Networks (CNN) architecture, namely ResNet50, VGG16, and MobileNetV3-Small. The dataset used is Rice Leaf Disease Classification which consists of 1305 images with five disease labels. The data is divided into training, validation, and testing sets with proportions of 70%, 15%, and 15%. The results showed that the MobileNetV3-Small model provided the best accuracy on the test data of 79%, while VGG16 achieved the validation accuracy of 78.84%. Based on these results, MobileNetV3-Small is considered the most superior model for rice disease classification. This research shows the great potential of applying deep learning in automatic rice disease detection.
Optimizing Replanting Strategies for Oil Palm Plasma: Financial Patterns and Farmer Concerns in South Sumatra, Indonesia Wildayana, Elisa; Armanto, M Edi; Maryadi; Adriani, Dessy; Nearti, Yuwinti
Journal of Smart Agriculture and Environmental Technology Vol. 3 No. 2 (2025): August 2025, Published 2025-08-19
Publisher : Indonesian Soil Science Society of South Sumatra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2025.3.2.72-79

Abstract

This study examines the financial feasibility of different replanting patterns for oil palm plasma and assesses farmers’ concerns regarding replanting decisions. The research was conducted in three districts of South Sumatra (OKI, Muara Enim, and Musi Banyuasin) with plasma farmers as respondents. Three financing patterns were  analyzed: self-financing through savings, insurance-based financing, and bank loans. The research used a survey method and sampling was determined with a balanced random sampling technique with 90 respondents. The research concluded that the financing pattern of oil palm replanting can be done through savings, insurance, and bank loans. The best financing pattern for replanting is conducted by using their savings because it can produce the highest net B/C value; NPV; and the shortest payback period. Sensitivity analysis showed that Fresh Fruit Bunch (FFB) price reduction is the most sensitive for the financing patterns of their savings and bank loans, however for the financing patterns of insurance, the decrease in FFB production is mentioned as the most sensitive. The government has to maintain stable FFB pricing, and it is advised that they use their funds, which are arranged by KUD, to support the oil palm replanting. Five factors -complexity, compatibility, relative profitability, trialability, and observability - will be used to gauge farmers’ concerns about oil palm replanting. 
Strategy for Strengthening Women's Entrepreneurship in Efforts to Support Women's Knowledge-Based Food Independence through Banyuasin Regency Cooperative Institutions Jayanti, Nirmala; Nearti, Yuwinti; Mulyana, Eka
Sriwijaya Journal of Environment Vol 10, No 2 (2025): ECOLOGY AND ENVIRONMENTAL HEATLH
Publisher : Program Pascasarjana Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to maximize the potential of women's entrepreneurship through cooperative institutions by supporting food independence, creating a targeted strengthening strategy model that can be adopted and applied not only in cooperative and SME institutions but also to all women entrepreneurs. The research was conducted at the BMT Trans Mekar Sari Mandiri Consumer Cooperative in Mulia Sari Village, Tanjung Lago District. The research involved at least 10% of the total population, namely 100 female entrepreneurial respondents using a sampling technique, namely purposive sampling. The method used in this research is a quantitative method. The data obtained in this research consists of primary and secondary data. Primary data was obtained through direct interviews in the field with sample cooperative members (women entrepreneurs) using a list of questions contained in the form of a questionnaire. Secondary data was obtained from agencies related to this research, namely the Banyuasin Regency Cooperative Service as well as literature such as cooperative RAT reports, books, journals, articles, and previous research. To analyze the data was used SWOT analysis. The results of the research conclude that strategies that can be implemented include maximizing women's abundant resources in cooperatives, carrying out cadres according to standardization, formulating rules for the protection of women in entrepreneurship, making it easier for women entrepreneurs to access capital, and collaborating with various parties supporting the development of women's entrepreneurship.
Co-Authors Armanto, M Edi DESSY ADRIANI Eka Mulyana, Eka Elisa Wildayana Jayanti, Nirmala Maryadi Muhammad Andri Zuliansyah Muhammad Taufik Roseno, Muhammad Taufik Oktarina, Serly Syaputra, Hadi