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All Journal Jurnal Agribisnis dan Ekonomi Pertanian Jurnal Manajemen dan Agribisnis Jurnal Agribisnis Indonesia (Journal of Indonesian Agribusiness) Forum Agribisnis Habitat Journal of Consumer Science Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Journal of Consumer Sciences JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) JASc (Journal of Agribusiness Sciences) Jurnal Pertanian Agros Agrisocionomics: Jurnal Sosial Ekonomi Pertanian AGROMIX Jurnal Samudra Ekonomi dan Bisnis Agro Bali: Agricultural Journal International Journal of Agriculture System Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis AGRARIS: Journal of Agribusiness and Rural Development Research
Yanti Nuraeni Muflikh
Department Of Agribusiness, Faculty Of Economic And Management, IPB University, Bogor, Indonesia
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Social Sciences Other

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Journal : Forum Agribisnis

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ANALISIS HUBUNGAN KINERJA PARTISIPASI DAN MANFAAT BAGI ANGGOTA KOPERASI (STUDI KASUS: KUD PUSPA MEKAR, KABUPATEN BANDUNG BARAT) Fatmala, Emil; Muflikh, Yanti Nuraeni
Forum Agribisnis Vol 3, No 1 (2013): FA Vol 3 No 1 Maret 2013
Publisher : Forum Agribisnis

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Abstract

KUD Puspa Mekar is cooperation which has core business development specifically for dairy cow farm. Aim of this study wasto determine the general of KUD Puspa Mekar, identifying some factors which affected performance of cooperation, participation of members, and benefits for members also analyzing the relation among each factors toward performance of cooperation, participation of members, and benefits for members of KUD Puspa Mekar. Method of the research was Path Analysis, with these following exogen variables: vision (X1), capacity (X2), networking (X3), and resources (X4) of cooperation. Endogen variables which were measured such as performance of cooperation (Y1), participation of members (Y2), social (Y3) and economic (Y4) benefits. Factors affected the performance of cooperatives in order are vision, resources, participation, networking and capacity. Factors affected the participation of members was social benefits. The economic benefits less influance the participation of members. Performance of coopertives influance the social and economic benefits. KUD Puspa Mekar should keep more capital from internal rather than external. KUD Puspa Mekar should increase stimulus incentives to members through increase membership benefits. Increase the participation of members in terms of economic benefits can be enhanced by building the business unit in accordance with the expectations of members and build the business unit independently. KUD Puspa Mekar should improve and maintain the performance of cooperatives to social and economic benefits received by members will increase. Keyword(s): cooperation, performance, participation, benefit.
ANALISIS HUBUNGAN KINERJA PARTISIPASI DAN MANFAAT BAGI ANGGOTA KOPERASI (STUDI KASUS: KUD PUSPA MEKAR, KABUPATEN BANDUNG BARAT) Emil Fatmala; Yanti Nuraeni Muflikh
Forum Agribisnis Vol 3 No 1 (2013): FA Vol 3 No 1 Maret 2013
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.3.1.17-32

Abstract

KUD Puspa Mekar is cooperation which has core business development specifically for dairy cow farm. Aim of this study wasto determine the general of KUD Puspa Mekar, identifying some factors which affected performance of cooperation, participation of members, and benefits for members also analyzing the relation among each factors toward performance of cooperation, participation of members, and benefits for members of KUD Puspa Mekar. Method of the research was Path Analysis, with these following exogen variables: vision (X1), capacity (X2), networking (X3), and resources (X4) of cooperation. Endogen variables which were measured such as performance of cooperation (Y1), participation of members (Y2), social (Y3) and economic (Y4) benefits. Factors affected the performance of cooperatives in order are vision, resources, participation, networking and capacity. Factors affected the participation of members was social benefits. The economic benefits less influance the participation of members. Performance of coopertives influance the social and economic benefits. KUD Puspa Mekar should keep more capital from internal rather than external. KUD Puspa Mekar should increase stimulus incentives to members through increase membership benefits. Increase the participation of members in terms of economic benefits can be enhanced by building the business unit in accordance with the expectations of members and build the business unit independently. KUD Puspa Mekar should improve and maintain the performance of cooperatives to social and economic benefits received by members will increase. Keyword(s): cooperation, performance, participation, benefit.
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.
Co-Authors Adnyana, Wayan Ardi Andriani, Nindi Silvia Ashar, Nurul Magfirah Astrima, Alif Hasna Burhani, Al-May Abyan Izzy Dewiyanti, Dewiyanti Eko Ruddy Cahyadi Emil Fatmala Emil Fatmala Fariyanti, Anna Gumay, Wim Zembladimi Hardja, Adiva Fitri Khalishah Tjiptara Harmini Harmini, Harmini Herawati Hifziah, Hilyatul Ismawati Ismawati Juniar Atmakusuma Lona, Nia Jessica Lumban Toruan, Juli Winando Maharani, Mutiara Ria Despita Miranda , Vanesha Muhammad, Anindito Nabilasari, Melysa Nabilla, Nur Afra Nainggolan, Stepani Nesia, Khairina Aswita Netti Tinaprilla Nia Rosiana Nurzakiah, Sitty Permata, Kurnia Intan PUTRA - IRWANDI Rahadiarta, I Komang Pradnyananda S. Rahma, Lailatul Ratna Winandi Asmarantaka Rita Nurmalina Roma Intan Nainggolan, Stepani A. K. Rosiana, Nia Salma Salma Sarah Febrianti Sirait Sholihah, Nadya Ash Suprehatin Suprehatin Suprehatin Triana Gita Dewi Utami, Anisa Dwi Wirda, Bunga Yanamisra, Alfira Yanuar, Rahmat Zamborita, Depicha Zambustya