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ANALISIS EFISIENSI PRODUKSI USAHATANI CABAI MERAH DI PROVINSI LAMPUNG Lona, Nia Jessica; Rosanti, Novi; Saleh, Yuliana
Jurnal Ilmu Ilmu Agribisnis: Journal of Agribusiness Science Vol. 13 No. 2 (2025)
Publisher : Lampung University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jiia.v13i2.9666

Abstract

The aim  of this research is to analyze technical efficiency and technical inefficiency, profitability and income of red chili  cultivation businesses in Lampung province. This research was carried out in South Lampung and Pesawaran Regencies. Respondents were identified using a simple random sampling method from a total of 67 chili producers. Survey data was collected from October to December 2023. Technical efficiency and inefficiency were analyzed using the stochastic frontier method, efficiency was analyzed using the dual marginal cost function method, and agricultural productivity was calculated using agricultural income analysis. The research results show that red chili producers in Lampung Province are  technically efficient, with an efficiency score 94.10%. Factors that influence the technical inefficiency of red chili  cultivation are age, number of family members and farming experience. The profitability of growing chilies is less than  10%. The monetary income from cultivating red chilies in Lampung Province is IDR 29,595,410/0.28 ha and the R/C value of monetary costs is 3.3. Total income from red chili  cultivation is IDR 26,203,341/0.28 ha with an R/C value of 2.5.  It means that planting red chilies in Lampung Province is profitable.  Keywords: Efficiency, farming, red chili
Peran Inovasi dan Teknologi dalam Manajemen Rantai Pasok Berkelanjutan pada Industri Agrifood: Tinjauan Literatur Astrima, Alif Hasna; Lona, Nia Jessica; Adnyana, Wayan Ardi; Muflikh, Yanti Nuraeni; Suprehatin, Suprehatin
Jurnal Agribisnis Indonesia Vol. 13 No. 2 (2025): Desember 2025 (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.2025.13.2.258-291

Abstract

The agrifood industry faces complex challenges in creating a sustainable supply chain. Sustainable Supply Chain Management (SSCM) serves as a strategic approach that integrates economic, environmental, and social aspects in supply chain governance. This study analyze the contribution of innovation and digital technologies to the sustainability dimensions of SSCM within the agrifood industry using a Systematic Literature Review (SLR) of 67 recent scientific publications (2020–2025) from the Scopus and ScienceDirect databases. The findings show that sustainability-oriented innovations such as precision farming, green technologies, and collaborative approaches play a crucial role in transforming conventional supply chains into more efficient, inclusive, and adaptive systems. Technologies such as blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) have proven effective in enhancing operational efficiency, traceability, resource management, and food safety. Innovation strengthens collaboration among supply chain actors and accelerates the adoption of environmentally friendly practices. However, challenges remain regarding infrastructure readiness, resistance to technology adoption, and collaboration. Therefore, the strategic utilization of innovation and technology holds potential to accelerate digital transformation and enhance the resilience and sustainability of the agrifood system. This study highlights that the utilization of technology and innovation in supply chain management drives sustainability transformation in the agrifood industry. However, the success requires improved human resource capacity, adequate infrastructure, and strong synergy among actors. Supportive policies, increased investment in infrastructure—particularly in rural areas—and strengthened collaboration are essential to ensure an inclusive and sustainable digital transformation within SSCM.