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All Journal Jurnal Lahan Suboptimal Journal of Information Systems and Informatics SRIWIJAYA JOURNAL OF ENVIRONMENT Jurnal Ilmiah Pertanian dan Peternakan
Jayanti, Nirmala
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Agriculture, Biological Sciences & Forestry Computer Science & IT Energy Environmental Science Public Health

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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.
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

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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.
Strategi Peningkatan Pendapatan Petani Karet (Hevea Brasilinsies) yang dipengaruhi Fluktuasi Harga di Desa Lubuk Rengas Kecamatan Rantau Bayur Kabupaten Banyuasin Apriyani, Septi; Jayanti, Nirmala; Nearti, Yuwinti
Jurnal Ilmiah Pertanian dan Peternakan Vol. 2 No. 2 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jipper.v2i2.5366

Abstract

Purpose: This study examines the impact of rubber price fluctuations on the income and welfare of rubber farmers in Lubuk Rengas Village, Rantau Bayur Subdistrict, Banyuasin Regency, and identifies strategies to increase income amid market uncertainties. Methodology/approach: Using a mixed methods approach, qualitative and quantitative data were collected from 35 farmers through questionnaires. Spearman correlation was applied to assess the relationship between price fluctuations and income, while SWOT analysis identified strategic options. Results/findings: The results show a strong, significant correlation between price fluctuations and farmers’ income (r = 0.831, p < 0.001). Key strategies include adopting pest-resistant clones, rejuvenating old plants, diversifying with intercropping and livestock, and enhancing farmer skills. Institutional support—through better financing access and private sector partnerships—is essential, while SWOT analysis highlights the need to maximize strengths and opportunities and mitigate weaknesses and threats like price volatility and climate change. Conclutions: Price fluctuations significantly affect farmers’ income, requiring sustainable, integrated strategies supported by institutional collaboration to safeguard and improve welfare. Limitations: The small sample size and single-location focus may limit generalizability; the cross-sectional design does not capture long-term trends. Contribution: This study provides empirical evidence on the link between commodity price volatility and farmers’ income, offering practical strategies and policy recommendations for resilience in volatile markets
Pengaruh Fluktuasi Harga Cabai Keriting (Capsicum Annum L) terhadap Pendapatan Petani di Desa Lubuk Saung Kecamatan Banyuasin III Kabupaten Banyuasin Junistia, Een; Nearti, Yuwinti; Jayanti, Nirmala
Jurnal Ilmiah Pertanian dan Peternakan Vol. 3 No. 1 (2025): Juli
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jipper.v3i1.5409

Abstract

Purpose: This study aims to analyze the effect of price fluctuations in curly chili on farmers’ income in Lubuk Saung Village, Banyuasin III District, Banyuasin Regency, and to identify the key factors causing such fluctuations. Curly chili is recognized as a strategic horticultural commodity that is prone to high price volatility due to seasonal conditions, market demand, and distribution constraints. Methodology/approach: Quantitative research with a descriptive approach, using a census of 31 curly chili farmers. Data were analyzed using Exploratory Factor Analysis (EFA) to determine factors causing price fluctuations and Spearman correlation to assess the effect on income. Results/findings: Key factors influencing price fluctuations are season and weather, production costs, infrastructure, planting patterns, government policies, middlemen, pest and disease attacks, seasonal demand, and community consumption trends. Price fluctuations have a significant effect on farmers’ income. Conclusions: Curly chili price volatility in Lubuk Saung Village is influenced by environmental, market, and structural factors, and directly impacts farmer livelihoods. Addressing these challenges requires integrated strategies involving government, market actors, and farmers. Limitations: The study’s scope is limited to one village with a small sample size, potentially reducing generalizability to other regions or commodities. Contribution: This research contributes empirical evidence on the link between horticultural commodity price volatility and farmer income, offering practical insights for policy design and market stabilization strategies to protect farmer welfare.
Co-Authors Apriyani, Septi Eka Mulyana, Eka Junistia, Een Muhammad Andri Zuliansyah Muhammad Taufik Roseno, Muhammad Taufik Nearti, Yuwinti Oktarina, Serly Syaputra, Hadi