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Production Risk Analysis in Maize: Comparative Insights from Major Producing Countries Fadilla Ristya Aminda; Aura Dhamira; Ayu Kumala Sari
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1621

Increasing maize productivity is a strategic step for developing the global agricultural sector. Maize plays an important role as a source of food, feed, industrial raw materials, and energy sources. However, maize production faces internal risks, such as capital availability, management capacity, land ownership, and external risks, such as climate change, pest attacks, and limited agricultural inputs. This study discusses the development of maize production risks in ten major producing countries, including the USA, China, Brazil, Argentina, and Mexico. The study uses secondary data from FAOSTAT from 1961-2021 (61 years). The study uses a qualitative method by analysing maize production trends and risks using the coefficient of variation (CV) analysis. The analysis results show that the USA ranks first as the largest maize producer in the world, followed by China and Brazil, with an increasing trend over the past 61 years. This is related to adopting biotechnology, food production, and precision farming systems. France and the USA have low CV values of 0.36 and 0.40, indicating that the risk of maize production in the two countries is relatively low compared to the other eight countries. Maize stabilization in the USA is supported by implementing irrigation and precision farming models to reduce the impact of drought due to climate variability. On the other hand, Argentina, Ukraine, and Indonesia have high CV values, indicating a high risk of maize production in the three countries. Several factors causing high production risks are climate change in the form of increasing average annual temperatures, attacks of Maize Stunt Disease, political challenges, inaccurate use of fertilizers, low technology adoption, and limited resources.

Penyuluhan dan Pendampingan Kemasan Dan Labelling Produk Olahan Empon-Empon Untuk Peningkatan Daya Saing Produk Anggrasari, Herdiana; Dhamira, Aura; Sari, Ayu Kumala
JAPI (Jurnal Akses Pengabdian Indonesia) Vol 10, No 1 (2025)
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/japi.v10i1.6659

Kemasan yang menarik dengan label yang memberikan informasi lengkap dapat meningkatkan minat konsumen terhadap suatu produk. Kemasan dan labelling dapat memberikan nilai tambah bagi sebuah produk sehingga produk tersebut dapat bersaing. Kegiatan pengabdian kepada masyarakat berfokus pada penyuluhan dan pendampingan kemasan dan labelling pada produk olahan empon-empon yang dilaksanakan di Kelompok Wanita Tani (KWT) Srikandi I, Desa Candibinangun, Kapanewon Pakem, Kabupaten Sleman. Metode pelaksanaan kegiatan meliputi ceramah, diskusi, pelatihan, praktik, dan pendampingan. Hasil kegiatan menunjukkan peningkatan pengetahuan anggota KWT tentang pentingnya kemasan dan label pada produk olahan empon-empon. Pengetahuan tentang manfaat kemasan meningkat dari 80% menjadi 85%, dan pemahaman tentang pentingnya kesesuaian bentuk kemasan dengan jenis produk meningkat dari 55% menjadi 70%. Pengetahuan terkait manfaat label meningkat dari 70% menjadi 95%. Kegiatan ini diharapkan dapat meningkatkan daya saing produk olahan empon-empon yang diproduksi oleh KWT Srikandi I.

Strategi Stabilisasi Harga Bawang Merah di Daerah Istimewa Yogyakarta Dhamira, Aura; Anggrasari, Herdiana; Maheresmi, Handani; Setyaningsih, Arfin; Lumbantobing, Steven Colbert; Rahman, Raihan Khalifah
AGRIFITIA : Journal of Agribusiness Plantation Vol. 5 No. 2 (2025): SEPTEMBER
Publisher : Program Studi Agribisnis INSTIPER Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55180/aft.v5i2.1903

ABSTRACT The uncertain price changes of shallots in the Special Region of Yogyakarta will affect many parties, including farmers/producers, shallot traders, household consumers, and business actors processing this commodity. Therefore, this study formulates a strategy for shallot price stability in the Special Region of Yogyakarta. The study was conducted in 5 regencies (Yogyakarta City, Sleman Regency, Bantul Regency, Kulon Progo Regency, and Gunungkidul Regency) in the Special Region of Yogyakarta. This study used primary data with a survey method. Primary data was obtained from interviews with 30 key persons. Based on the results of the study, several strategies that can be used to stabilize shallot prices are by applying appropriate technology to shallot cultivation in DIY and establishing partnerships with the food processing industry. Keywords: fluctuation; price; shallots; strategy ABSTRAK Perubahan harga bawang merah yang tidak menentu di Daerah Istimewa Yogyakarta akan berpengaruh pada banyak pihak, diantaranya petani/produsen, pedagang bawang merah, konsumen rumah tangga, serta para pelaku usaha pengolahan komoditas ini. Oleh karena itu pada kajian ini disusun strategi stabilitas harga bawang merah di Daerah Istimewa Yogyakarta. Penelitian dilakukan di 5 Kabupaten (Kota Yogyakarta, Kabupaten Sleman, Kabupaten Bantul, Kabupaten Kulon Progo, dan Kabupaten Gunungkidul) di Daerah Istimewa Yogyakarta. Penelitian ini menggunakan data primer dengan metode survei. Data primer diperoleh dari wawancara dengan 30 orang informan kunci. Berdasarkan hasil penelitian, beberapa strategi yang dapat digunakan untuk stabilisasi harga bawang merah adalah dengan cara menerapkan teknologi tepat guna pada budidaya bawang merah di DIY dan menjalin kemitraan dengan industri pengolahan makanan. Kata Kunci: bawang merah; fluktuasi; harga; strategi

Indonesian Climatic Factors and Its Effect on Cocoa Productivity Dhamira, Aura; Anggrasari, Herdiana
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.873

One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.

Production Risk Analysis in Maize: Comparative Insights from Major Producing Countries Aminda, Fadilla Ristya; Dhamira, Aura; Sari, Ayu Kumala
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1621

Increasing maize productivity is a strategic step for developing the global agricultural sector. Maize plays an important role as a source of food, feed, industrial raw materials, and energy sources. However, maize production faces internal risks, such as capital availability, management capacity, land ownership, and external risks, such as climate change, pest attacks, and limited agricultural inputs. This study discusses the development of maize production risks in ten major producing countries, including the USA, China, Brazil, Argentina, and Mexico. The study uses secondary data from FAOSTAT from 1961-2021 (61 years). The study uses a qualitative method by analysing maize production trends and risks using the coefficient of variation (CV) analysis. The analysis results show that the USA ranks first as the largest maize producer in the world, followed by China and Brazil, with an increasing trend over the past 61 years. This is related to adopting biotechnology, food production, and precision farming systems. France and the USA have low CV values of 0.36 and 0.40, indicating that the risk of maize production in the two countries is relatively low compared to the other eight countries. Maize stabilization in the USA is supported by implementing irrigation and precision farming models to reduce the impact of drought due to climate variability. On the other hand, Argentina, Ukraine, and Indonesia have high CV values, indicating a high risk of maize production in the three countries. Several factors causing high production risks are climate change in the form of increasing average annual temperatures, attacks of Maize Stunt Disease, political challenges, inaccurate use of fertilizers, low technology adoption, and limited resources.

Indonesian Climatic Factors and Its Effect on Cocoa Productivity Dhamira, Aura; Anggrasari, Herdiana
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.873

One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.

Production Risk Analysis in Maize: Comparative Insights from Major Producing Countries Aminda, Fadilla Ristya; Dhamira, Aura; Sari, Ayu Kumala
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1621

Increasing maize productivity is a strategic step for developing the global agricultural sector. Maize plays an important role as a source of food, feed, industrial raw materials, and energy sources. However, maize production faces internal risks, such as capital availability, management capacity, land ownership, and external risks, such as climate change, pest attacks, and limited agricultural inputs. This study discusses the development of maize production risks in ten major producing countries, including the USA, China, Brazil, Argentina, and Mexico. The study uses secondary data from FAOSTAT from 1961-2021 (61 years). The study uses a qualitative method by analysing maize production trends and risks using the coefficient of variation (CV) analysis. The analysis results show that the USA ranks first as the largest maize producer in the world, followed by China and Brazil, with an increasing trend over the past 61 years. This is related to adopting biotechnology, food production, and precision farming systems. France and the USA have low CV values of 0.36 and 0.40, indicating that the risk of maize production in the two countries is relatively low compared to the other eight countries. Maize stabilization in the USA is supported by implementing irrigation and precision farming models to reduce the impact of drought due to climate variability. On the other hand, Argentina, Ukraine, and Indonesia have high CV values, indicating a high risk of maize production in the three countries. Several factors causing high production risks are climate change in the form of increasing average annual temperatures, attacks of Maize Stunt Disease, political challenges, inaccurate use of fertilizers, low technology adoption, and limited resources.

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