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Forum Agribisnis
Published by Institut Pertanian Bogor
ISSN : 22525491     EISSN : 26564599     DOI : https://doi.org/10.29244/fagb.11.2.101-108
Core Subject : Economy, Agriculture,
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance
Forum Agribisnis adalah jurnal ilmiah sebagai forum komunikasi antar peneliti, akademisi, dan penentu kebijakan dan praktisi dalam bidang agribisnis dan bidang terkait lainnya. Tulisan bersifat asli berisi analisis empirik atau tinjauan teoritis dan review buku terbaru. Forum Agribisnis dikelola oleh Magister Sains Agribisnis Departemen Agribisnis FEM IPB. Jurnal diterbitkan pada bulan Maret dan September.
Arjuna Subject : -
Articles 273 Documents
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Partnership Model of PT. Pabrik Gula Candi Baru Sidoarjo with Sugarcane Farmers (TRK) Fredella, Femy Atha; Soedarto, Teguh; Atasa, Dita
Forum Agribisnis Vol. 15 No. 2 (2025): FA Vol `15 No 2 September 2025
Publisher : Magister Science of Agribusiness, Department of Agribusiness, FEM-IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/fagb.15.2.332-345

Abstract

  Sugar factories operating in Sidoarjo Regency began to decline, this was due to land function experts to machine parts damage. PT. Pabrik Gula Candi Baru Sidoarjo is a sugar-based agroindustry that has remained operational near the center of Sidoarjo Regency. The company's land sugarcane harvest in the procurement of sugarcane raw materials has not met the grinding target. So it needs a fixed partner to meet the grinding target and so that the company continues to operate. The research was conducted to analyze 1) the partnership pattern of PT. Pabrik Gula Candi Baru Sidoarjo with sugar cane farmers partnership (TRK), 2) The motivational level of partnership sugarcane farmers (TRK) maintains cooperative relationships with companies and 3) analyzes farmers' income earned once the planting season. Research was conducted in May–November 2024 in Candi District, Sidoarjo Regency. The population of the study respondents was 363 partnership sugarcane farmers (TRK) through a Slovine calculation and a 15% error rate, a study sample of 40 respondents obtained. Research uses descriptive analysis to determine partnership patterns, motivational levels using the likert scale and cost of farming, receiving, and income of farmers with income analysis. The research results state that the partnership pattern of PT. Pabrik Gula Candi Baru Sidoarjo with sugarcane farmers partnership (TRK) is in the form of a plasma core. As well as the level of motivation for partnership sugarcane farmers (TRK) in partnership with companies is classified as a strong category with an 80% percentage that farmers expect consistent profits. The sugarcane cultivation business of partnership sugarcane farmers (TRK) costs Rp32. 093.349/ha, revenue of Rp52.879.420/ha and revenue of Rp20.786.071/ha. Thus, the conclusion of this study was that partnerships could convince farmers of the potential of the agricultural business and maintain sugarcane farming businesses by providing proper income.
PEMANFAATAN ARTIFICIAL INTELLIGENCE DALAM MANAJEMEN RANTAI PASOK PRODUK PERTANIAN TINJAUAN LITERATUR SISTEMATIK Maharani, Mutiara Ria Despita; Hifziah, Hilyatul; Muflikh, Yanti Nuraeni; Suprehatin; Rahadiarta, I Komang Pradnyananda S.
Forum Agribisnis Vol. 15 No. 2 (2025): FA Vol `15 No 2 September 2025
Publisher : Magister Science of Agribusiness, Department of Agribusiness, FEM-IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/fagb.15.2.227-242

Abstract

The agricultural product supply chain frequently faces challenges, including fluctuations in demand, climate change, and the perishable nature of products, which can result in inefficiencies and losses. These issues require technology to optimize supply chain performance, one of which is through the use of Artificial Intelligence (AI). This study aims to identify the types of AI commonly used, their applications across various stages of the supply chain, their role in enhancing efficiency, and the challenges associated with their implementation. The method used is a Systematic Literature Review (SLR) based on 21 scientific articles from 2015 to 2025 sourced from the Scopus database. Articles were selected based on criteria including journals and proceedings, open access, and relevance to AI applications in agricultural product supply chains. The research results indicate that machine learning and deep learning are the most widely used types of AI, particularly for crop yield prediction, plant disease detection, product quality classification, and logistics management. AI has been applied across various stages of the supply chain, from cultivation, processing, to distribution. AI has proven to enhance efficiency, real-time monitoring, and decision-making. However, its implementation still faces challenges such as limited quality data, inadequate infrastructure, high implementation costs, and low human resource capacity. Therefore, the utilization of AI in the agricultural product supply chain requires collaboration between the government, academia, industry, and farmers. On the other hand, regulations and policies supporting AI adoption also need further review to ensure this technology can be widely and sustainably implemented.
KETAHANAN PANGAN DI TENGAH KETERGANTUNGAN IMPOR BERAS: ANALISIS TREN DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA Risnanda, Arsita Wahyu; Soedarto, Teguh; Rozci, Fatchur
Forum Agribisnis Vol. 15 No. 2 (2025): FA Vol `15 No 2 September 2025
Publisher : Magister Science of Agribusiness, Department of Agribusiness, FEM-IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/fagb.15.2.346-360

Abstract

Ketahanan pangan merupakan aspek strategis dalam pembangunan nasional, khususnya dalam konteks dinamika pertumbuhan penduduk dan ketergantungan terhadap impor beras. Penelitian ini bertujuan untuk mengevaluasi tren historis impor beras Indonesia selama 10 tahun periode 2015–2024 serta menganalisis pengaruh variabel jumlah penduduk, produksi padi, luas panen, dan nilai tukar petani (NTP) terhadap ketahanan pangan nasional. Penelitian ini berdasar pada data sekunder dengan pendekatan kuantitatif mengaplikasikan metode yang digunakan meliputi analisis tren impor beras dan forecasting 10 tahun mendatang, serta analisis regresi linier berganda guna mengidentifikasi determinan utama ketahanan pangan. Hasil analisis menunjukkan bahwa tren impor beras mengalami peningkatan secara fluktuatif, yang merefleksikan ketidakseimbangan antara kapasitas produksi dalam negeri dan pertumbuhan konsumsi. Selanjutnya, variabel jumlah penduduk, produksi, luas panen dan NTP terbukti berpengaruh signifikan terhadap ketahanan pangan nasional dengan nilai Adjusted R2 = 0,889. Hasil penelitian ini memberikan kontribusi penting dalam penyusunan kebijakan ketahanan pangan yang berbasis pada bukti empiris dan perencanaan jangka menengah hingga panjang.

Page 28 of 28 | Total Record : 273

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