Aulia, Reza Melvina
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ANALISIS PRODUKSI TEH HITAM DI KEBUN TEH SINUMBRA SELAMA PADEMI COVID-19 Pardian, Pandi; Esperanza, Dhany; Renaldi, Eddy; Budiman, Muhammad Arief; Sari, Medi Atikah; Aulia, Reza Melvina; Yubilanti, Laurensia Sri; Adzkia, Yamandita; Erlangga, Muhamad
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 9, No 2 (2023): Juli 2023
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v9i2.10678

Abstract

One of the largest tea producers in Indonesia is the province of West Java, with a percentage of 69.59% of the total national production of 129 thousand tons in 2019 spread across various garden locations with different conditions. This is interesting to be studied, mainly related to the income from the production process of tea shoots in the tea garden of Sinumbra during the COVID-19 pandemic. This research uses a quantitative descriptive method by using data collection, interpretation, and analysis data to describe and explain the actual situation. The result shows that the average production cost of 14 types of tea is RP14,999 / kg. The type (grade) with the highest production results is the quality I type of Dust tea, while the type with the lowest production results is BOP tea 1 (a quality I). The largest income from the type of PF tea (Pekoe Fanning) is Rp. 5,423,673,094, with the biggest profit being the (quality I) type of BP tea (Broken Pekoe) of Rp. 24,499 / kg, and the biggest loss in (quality III) type of FLUFF tea is -Rp. 4,292 / kg.
Sistem Manajemen Risiko Produksi Teh Hitam Pada Perusahaan Perkebunan Besar Negara Heryanto, Mahra Arari; Pardian, Pandi; Aulia, Reza Melvina
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 10, No 1 (2024): Januari 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v10i1.13178

Abstract

Enterprise risk management system is an integrated approach in managing risks along production chain. Natural and market factors have a huge influence in risk management for agricultural processing production. House of Risk (HoR) method recognize various risk events and sources very well by considering the severity and occurrence of risk sources. However, this method cannot explain the relationships and connections between events and sources of their causes. This paper aims to complement the HoR method with a systems thinking approach so that relationships and connections between events and risk causes can be described in a system structure. The research results showed that various risk events and their causes are interconnected and continue to accumulate in two main sub-systems: the cultivation process sub-system and the processing process sub-system. These two sub-systems are connected by a company management sub-system which has control and influenced by risk events in the production process. Another finding is that financial risk is a systemic risk in the black tea production process.