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Strategi Pengembangan Agroindustri Pepaya di Kabupaten Boyolali Indreswari, Rysca; Paryanto, Edi; Adi, Raden Kunto; Dewanti, Rizki Puspita; Ningsih, Hardian; Yunindanova, Mercy Bientri; Agustina, Ana; Apriyanto, Dwi
Jurnal Social Economic of Agriculture Vol 13, No 2 (2024): December
Publisher : Agribusiness Department, Agriculture Faculty, Tanjungpura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jsea.v13i2.68931

Abstract

Papaya agribusiness in Boyolali Regency has yet to develop optimally, focusing primarily on production, while the agroindustry (processing) aspect remains underdeveloped. The aim of this research is to formulate a strategy for the development of the papaya agroindustry. This study employs a descriptive qualitative and quantitative approach using a case study method, with data collection techniques including document review, observation, interviews, and focus group discussions (FGD) involving stakeholders at the district level. The collected data were analyzed using SWOT analysis. The research findings indicate that an aggressive agroindustry development strategy is essential. This strategy is highly beneficial as it leverages the strengths and opportunities available to support business growth. Key strategies to be implemented include scaling up the papaya agroindustry, diversifying products, enhancing entrepreneurial mindset and skills, and conducting intensive marketing of quality products by utilizing stakeholder networks. Furthermore, collaboration with modern retailers such as Alfamart, Indomart, Mitra Supermarkets, and Luwes in the Solo Raya area, as well as with the Boyolali Regency Local Brand Forum (FBL), is crucial. Additionally, partnerships with papaya processing technology service providers, such as LPK, the Industry and Trade Service, the MSME and Cooperative Service, relevant Ministries, and Universities, are recommended to support the development of the sector.  
The impacts of the Covid-19 pandemic on food accessibility and food security (a case study in Central Java) Dewanti, Rizki Puspita; Indreswari, Rysca; Adi, Raden Kunto; Paryanto, Edi; Ningsih, Hardian; Suryaningrum, Dyah Ayu; Arifin, Zainal; Rachmadhan, Aditya Arief

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i2.4482

Abstract

Introduction: The COVID-19 pandemic has significantly impacted food security and accessibility in Central Java Province. This study aims to analyze the effects of the pandemic on food accessibility in three dimensions—physical, economic, and social—and on food security. Methods: The study was conducted in five cities and regencies with high COVID-19 case rates. The research method employs Structural Equation Modeling-Partial Least Square (SEM-PLS) to identify relationships between latent and manifest variables. Primary data were collected from 348 respondents, while secondary data were obtained from relevant agencies. Results: The findings reveal that the COVID-19 pandemic situation indirectly positively affects food security through improved physical access to food, supported by government policies such as large-scale social restrictions (PSBB) and community activity restrictions (PPKM), which allowed markets to operate with health protocols. However, economic and social access to food was not significantly impacted by the pandemic. Physical access was shown to have a direct positive impact on food security, while economic access was highly influenced by the respondents’ economic conditions. Conclusion: In conclusion, food accessibility—particularly physical access—plays a crucial role in maintaining food security during the pandemic in Central Java.
The impacts of the Covid-19 pandemic on food accessibility and food security (a case study in Central Java) Dewanti, Rizki Puspita; Indreswari, Rysca; Adi, Raden Kunto; Paryanto, Edi; Ningsih, Hardian; Suryaningrum, Dyah Ayu; Arifin, Zainal; Rachmadhan, Aditya Arief
AGROMIX Vol 15 No 2 (2024)
Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i2.4482

Abstract

Introduction: The COVID-19 pandemic has significantly impacted food security and accessibility in Central Java Province. This study aims to analyze the effects of the pandemic on food accessibility in three dimensions—physical, economic, and social—and on food security. Methods: The study was conducted in five cities and regencies with high COVID-19 case rates. The research method employs Structural Equation Modeling-Partial Least Square (SEM-PLS) to identify relationships between latent and manifest variables. Primary data were collected from 348 respondents, while secondary data were obtained from relevant agencies. Results: The findings reveal that the COVID-19 pandemic situation indirectly positively affects food security through improved physical access to food, supported by government policies such as large-scale social restrictions (PSBB) and community activity restrictions (PPKM), which allowed markets to operate with health protocols. However, economic and social access to food was not significantly impacted by the pandemic. Physical access was shown to have a direct positive impact on food security, while economic access was highly influenced by the respondents’ economic conditions. Conclusion: In conclusion, food accessibility—particularly physical access—plays a crucial role in maintaining food security during the pandemic in Central Java.
ANALISIS PERMINTAAN DAN PERSAINGAN MINYAK KELAPA (CRUDE COCONUT OIL) INDONESIA DI PASAR INTERNASIONAL Dewanti, Rizki Puspita; Harianto, Harianto; Nurmalina, Rita
Jurnal Agribisnis Indonesia Vol. 8 No. 1 (2020): Juni 2020 (Jurnal Agribisnis Indonesia)
Publisher : Departmen of Agribusiness, Economics and Management Faculty, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jai.2020.8.1.69-82

Abstract

Sebagai negara produsen terbesar kelapa dunia, memberikan kesempatan Indonesia untuk menjadi eksportir utama produk olahan kelapa. Minyak kelapa merupakan salah satu produk unggulan olahan kelapa yang saat ini permintaanya semakin meningkat. Dalam ekspor minyak kelapa ke pasar internasional, Indonesia mendapat persaingan yang ketat dengan eksportir minyak kelapa lainnya. Tujuan penelitian ini adalah untuk menganalisis tingkat persaingan minyak kelapa Indonesia dengan eksportir minyak kelapa lainnya di pasar internasional. Metode analisis yang digunakan adalah Almost Ideal Demand System (AIDS). Hasil penelitian menunjukkan bahwa faktor-faktor yang memengaruhi permintaan minyak kelapa Indonesia di pasar internasional berbeda-bedad dan minyak kelapa Indonesia bersaing dengan minyak kelapa Filipina di pasar Amerika Serikat dan Jerman. Hal ini dibuktikan dengan nilai elastisitas harga silang yang positif (substitusi). Penurunan harga minyak kelapa Filipina, maka akan menurunkan pangsa pasar Indonesia. Oleh sebab itu, Indonesia perlu meningkatkan produksi dan stategi pemasaran minyak kelapa untuk meningkatkan ekspor minyak kelapa Indonesia di pasar internasional.
Utilizing ChatGPT as a Large Language Model for Qualitative Decision Tree Modeling: A Proof-of-Concept for Strengthening Food Security in Indonesia Rachmadhan, Aditya Arief; Wijayati, Prasmita Dian; Widayanti, Annisa Vira; Hariputra, Akbar; Dewanti, Rizki Puspita
Jurnal Riset Multidisiplin Agrisosco Vol 4, No 1 (2026): Vol 4 No 1 April 2026
Publisher : Lembaga Penelitian, Pengembangan, Pemberdayaan Potensi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61316/jrma.v4i1.229

Abstract

This study explores the use of Artificial Intelligence, specifically ChatGPT as a large language model, in constructing a qualitative decision tree to support food security analysis in Indonesia. Framed within the FAO’s four-pillar approach—availability, access, utilization, and stability—the research adopts a methodological proof-of-concept design and does not rely on primary or secondary empirical datasets. Instead, the analysis is based on AI-generated reasoning derived from structured prompts, which are systematically organized into a conceptual decision tree framework. Validation is conducted through interpretative comparison with established theoretical frameworks and national policy documents, rather than empirical testing or expert elicitation. The resulting model provides a structured representation of strategic pathways and potential policy options, highlighting the advantages of AI-assisted modeling in terms of speed, scalability, and integrative synthesis of knowledge. However, the model remains qualitative and exploratory, with limitations related to contextual specificity, potential bias, and the absence of real-time data. The findings suggest that AI can function as a complementary analytical tool for structuring policy-relevant insights, although its application requires careful validation and should not be interpreted as evidence of policy effectiveness.