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All Journal West Science Agro Innovation and Applied Education Journal
Rosa Zulfikhar
Politeknik Pembangunan Pertanian Yogyakarta-Magelang Kementerian Pertanian
Agriculture, Biological Sciences & Forestry Computer Science & IT Education Engineering Social Sciences

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Utilization of Smart Agricultural Technology to Improve Resource Efficiency in Agro-industry Rosa Zulfikhar; Ali Zainal Abidin Alaydrus; Sutiharni Sutiharni; Agi Nanjar; Hartati Hartati
West Science Agro Vol. 2 No. 01 (2024): West Science Agro
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsa.v2i01.656

Abstract

This study investigates the utilization of smart agricultural technologies to improve resource efficiency in the agro-industry, using a quantitative approach with a focus on Structural Equation Modeling - Partial Least Squares (SEM-PLS) analysis. A survey of 250 agro-industry stakeholders produced descriptive statistics showing a high mean adoption score (4.2) and a significant frequency of adoption (75%). Resource efficiency indicators, including average water use (32.5 gallons per hectare), average energy consumption (15.8 kWh per hectare), and average crop yield (2,800 kg per hectare), were also assessed. The SEM-PLS results showed strong reliability and validity of the measurement model, with positive path coefficients indicating substantial impacts of smart technology adoption on water use efficiency, energy consumption optimization, and crop yield. The model showed a satisfactory fit, and bootstrapping confirmed the robustness of the relationships. The discussion highlights practical implications for farmers, policymakers, and technology providers, emphasizing the potential for increased efficiency, reduced costs, and improved yields through the adoption of smart technologies. This study contributes valuable insights to the discourse of sustainable agricultural practices.
Analysis of Mangrove Ecosystems and Number of Plants on Air Pollution Reduction by Mangrove Plants Gusti Rusmayadi; Rosa Zulfikhar; Rusdi Angrianto; Sutiharni Sutiharni; Veronica. L. Tuhumena
West Science Agro Vol. 2 No. 01 (2024): West Science Agro
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsa.v2i01.659

Abstract

This research investigates the intricate relationships between Mangrove Ecosystems, the Number of Plants within these ecosystems, and their collective impact on Air Pollution Reduction. Employing a structural equation model, the study explores the quantitative dynamics across diverse mangrove ecosystems globally. The findings reveal a significant positive relationship between Mangrove Ecosystems and Air Pollution Reduction, emphasizing the pivotal role of mangroves as biofilters. Additionally, the study highlights the importance of vegetation density, with a higher Number of Plants correlating with a meaningful reduction in air pollution. The global implications underscore the applicability of mangrove-mediated air pollution reduction across diverse geographical contexts. The results provide valuable insights for policymakers, environmental managers, and conservationists, advocating for the conservation and restoration of mangrove habitats as an effective and sustainable strategy for mitigating the adverse effects of air pollution.
Influence of Sustainable Agricultural Practices on Ecosystem Balance and Land Productivity in Indonesia Muhammad Hazmi; Rosa Zulfikhar; Fitriah Suryani Jamin; Magdalena Sunarty Pareira; Slamet Pamuji
West Science Agro Vol. 2 No. 01 (2024): West Science Agro
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsa.v2i01.660

Abstract

This research investigates the influence of sustainable agricultural practices on ecosystem balance and land productivity in Indonesia through a mixed-methods approach. A sample of 500 farmers across diverse regions participated in surveys and field measurements, contributing to a comprehensive analysis. The study reveals varying adoption rates of sustainable practices, with organic farming and agroforestry emerging as prominent choices. Statistical analysis using Structural Equation Modeling with Partial Least Squares (SEM-PLS) demonstrates significant positive relationships between sustainable practices and ecosystem indicators, including biodiversity, soil health, and crop yields. Regional variations highlight the context-specific nature of these practices. The findings carry implications for policy formulation, extension services, and the promotion of sustainable agriculture in Indonesia.
Analisis Literasi AI Meningkatkan Motivasi dan Hasil Belajar Mahasiswa di Perguruan Tinggi Kota Makassar Rosa Zulfikhar; Murthada; Yudha Nurfaiz; Abd. Majid; Sumarno
Innovation and Applied Education Journal Volume 1, Issue 1, Februari 2024
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/iaej.v1i1.242

Abstract

Dalam situasi ini, setiap orang terutama mahasiswa harus memiliki literasi digital yang memadai. Literasi digital sebagai kemampuan individu dalam menerapkan keterampilan fungsional dalam media digital sehingga dapat menemukan dan memilih informasi yang relevan, mengevaluasi secara kritis, berkreasi, berkolaborasi dengan orang lain. Kecerdasan buatan atau AI (Artificial Intelligence) adalah kecerdasan berbasis teknologi dan pengetahuan yang dapat meniru kecerdasan manusia. Kecerdasan ini dapat menganalisis dan bereaksi dengan cepat. Untuk itu dilakukan sebuah penelitian dengan menggunakan metode penelitian kuantitatif deskriptif yang bertujuan untuk   Literasi AI dalam Meningkatkan Motivasi dan Hasil Belajar Mahasiswa di Perguruan tinggi Makassar yang memperoleh hasil . Hasil dari analisis data juga menunjukkan secara keseluruhan sebanyak 80% lebih responden setuju menggunakan aplikasi AI yang berpengaruh terhadap meningkatkan Motivasi dan Hasil Belajar
Co-Authors Abd. Majid Agi Nanjar Ali Zainal Abidin Alaydrus Fitriah S. Jamin Gusti Rusmayadi Hartati Hartati Hazmi, Muhammad Murthada Murthada Rusdi Angrianto Slamet Pamuji Sumarno Sutiharni Sutiharni Veronica. L. Tuhumena Yudha Nurfaiz