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Estimating Return to Scale Production of Seaweed Farming in Tarakan City Machmuddin, Nurlela; Anisa, Anisa; Djafar, Rayhana; Situmorang, Sawitania; Khaerunnisa, Khaerunnisa
Jurnal Perikanan dan Kelautan Vol 29, No 2 (2024): June
Publisher : Faculty of Fisheries and Marine, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jpk.29.2.245-250

The development of seaweed cultivation by farmers cannot be separated from production factors such as capital, seeds, labor, and land area, which greatly support the success of seaweed cultivation. This study aims to analyze the factors affecting seaweed production and how to return to scale. The research was conducted in Pantai Amal Village. The number of samples in the study was 59 seaweed farmers using the incidental sampling method. The data analysis technique used multiple linear regression analysis in the form of the Cobb-Douglas function logarithm using the SPSS 26 software. The results showed that simultaneously the capital factors (X1), seeds (X2), labor (X3), and land area (X4) jointly affect the production (sig=0.00). Only the farmer's capital partially showed a significant effect (0.00) smaller than the significance level of = 0.05. The business scale has shown increasing returns to scale with a coefficient value of 1.15, which means that all inputs used in production are increased by 1. The resulting production will be increased by 1, and the resulting production will increase by a more significant proportion, namely 1.15. Thus, seaweed farmers’ use of production factors is efficient

Estimating Return to Scale Production of Seaweed Farming in Tarakan City Machmuddin, Nurlela; Anisa, Anisa; Djafar, Rayhana; Situmorang, Sawitania; Khaerunnisa, Khaerunnisa
Jurnal Perikanan dan Kelautan Vol. 29 No. 2 (2024): June
Publisher : Faculty of Fisheries and Marine, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jpk.29.2.245-250

The development of seaweed cultivation by farmers cannot be separated from production factors such as capital, seeds, labor, and land area, which greatly support the success of seaweed cultivation. This study aims to analyze the factors affecting seaweed production and how to return to scale. The research was conducted in Pantai Amal Village. The number of samples in the study was 59 seaweed farmers using the incidental sampling method. The data analysis technique used multiple linear regression analysis in the form of the Cobb-Douglas function logarithm using the SPSS 26 software. The results showed that simultaneously the capital factors (X1), seeds (X2), labor (X3), and land area (X4) jointly affect the production (sig=0.00). Only the farmer's capital partially showed a significant effect (0.00) smaller than the significance level of = 0.05. The business scale has shown increasing returns to scale with a coefficient value of 1.15, which means that all inputs used in production are increased by 1. The resulting production will be increased by 1, and the resulting production will increase by a more significant proportion, namely 1.15. Thus, seaweed farmers’ use of production factors is efficient.

Estimating Return to Scale Production of Seaweed Farming in Tarakan City Machmuddin, Nurlela; Anisa, Anisa; Djafar, Rayhana; Situmorang, Sawitania; Khaerunnisa, Khaerunnisa
Jurnal Perikanan dan Kelautan Vol. 29 No. 2 (2024): June
Publisher : Fakultas Perikanan dan Kelautan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

The development of seaweed cultivation by farmers cannot be separated from production factors such as capital, seeds, labor, and land area, which greatly support the success of seaweed cultivation. This study aims to analyze the factors affecting seaweed production and how to return to scale. The research was conducted in Pantai Amal Village. The number of samples in the study was 59 seaweed farmers using the incidental sampling method. The data analysis technique used multiple linear regression analysis in the form of the Cobb-Douglas function logarithm using the SPSS 26 software. The results showed that simultaneously the capital factors (X1), seeds (X2), labor (X3), and land area (X4) jointly affect the production (sig=0.00). Only the farmer's capital partially showed a significant effect (0.00) smaller than the significance level of = 0.05. The business scale has shown increasing returns to scale with a coefficient value of 1.15, which means that all inputs used in production are increased by 1. The resulting production will be increased by 1, and the resulting production will increase by a more significant proportion, namely 1.15. Thus, seaweed farmers’ use of production factors is efficient.

Estimating Return to Scale Production of Seaweed Farming in Tarakan City Machmuddin, Nurlela; Anisa, Anisa; Djafar, Rayhana; Situmorang, Sawitania; Khaerunnisa, Khaerunnisa
Jurnal Perikanan dan Kelautan Vol. 29 No. 2 (2024): June
Publisher : Fakultas Perikanan dan Kelautan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

The development of seaweed cultivation by farmers cannot be separated from production factors such as capital, seeds, labor, and land area, which greatly support the success of seaweed cultivation. This study aims to analyze the factors affecting seaweed production and how to return to scale. The research was conducted in Pantai Amal Village. The number of samples in the study was 59 seaweed farmers using the incidental sampling method. The data analysis technique used multiple linear regression analysis in the form of the Cobb-Douglas function logarithm using the SPSS 26 software. The results showed that simultaneously the capital factors (X1), seeds (X2), labor (X3), and land area (X4) jointly affect the production (sig=0.00). Only the farmer's capital partially showed a significant effect (0.00) smaller than the significance level of = 0.05. The business scale has shown increasing returns to scale with a coefficient value of 1.15, which means that all inputs used in production are increased by 1. The resulting production will be increased by 1, and the resulting production will increase by a more significant proportion, namely 1.15. Thus, seaweed farmers’ use of production factors is efficient.

The Impact of Foot and Mouth Disease on Cow Milk Supply Chain in Bogor Tanjung, Dahri; Ristianingrum, Anita; Dewi, Intani; Firhani, Liisa; Sayekti, Ayutyas; Lidya, Leni; Machmuddin, Nurlela; Purnamadewi, Yeti Lis; Sebayang, Veralianta; Kuntari, Wien
Agro Ekonomi Vol 36 (2025): ARTICLE IN PRESS
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar

Foot and Mouth Disease (FMD) outbreak in 2022 reportedly led to a significant decrease in cow milk production, resulting in major changes to supply chain. Therefore, this study aims to determine the current supply chain performance of dairy milk at Bogor Dairy Farm Cooperative (BDFC) using Supply Chain Operation Reference (SCOR) metric. A quantitative descriptive method was used, and data were collected through field observation, interviews, and Focus Group Discussions (FGDs). Furthermore, the data were analyzed using SCOR metric. The results showed that the currentsupply chain performance comprised several entities, including cow milk suppliers (152 dairy farmers),cooperative, 3 manufacturers (milk processing industries), and end consumers. The time required by BDFC to distribute cow milk to processing industries was relatively fast (around 2 hours) due to the perishable nature. The calculation of supply chain performance yielded positive results, with SCOR metric achieving perfect order-fulfillment (POF) value of 86.9% andorder fulfillment cycle time (OFCT) of 2 days.Meanwhile, the cost of goods sold (COGS) value was 42.3%, with cash-to-cash cycle time (CTCCT) of 2 days.

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