Articles

Physicochemical Quality of Lamb Se’i Treated with Kusambi (Schleichera oleosa) Liquid Smoke

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This study aimed was to determine the effect kusambi (Schleichera oleosa) wood liquid smoke on the physicochemical quality of Lamb se’i (smoked meat). A Completely Randomized Design (CRD) with a 4 x 4 layout was employed, consisting of four treatments: P0: control/no liquid smoke, P1: 0.5% liquid smoke, P2: 1.0% liquid smoke, and P3 : 1.5% liquid smoke with four replications. The parameters measured were: moisture, protein, fat content, pH and yield. Data were analyzed using Analysis of Variance (ANOVA). The results showed that the use of  kusambi wood liquid smoke at levels of 0.5%–1.5% did not affect yield (P>0.05), however, it increased moisture and protein content while pH and fat content (P<0.01). Yield ranged from 54.30% to 59.41%. The highest moisture and protein contents were observed with the 1.5% liquid smoke treatment (58.59% and 25.65%, respectively), while the lowest pH value and fat content was 5.37 and 4,60% respectively.  In conclusion, the use of kusambi liquid smoke at levels of 0.5%–1.5% increased the moisture and protein content of the se’i and lowered the pH value and fat content, whereas the yield remained unchanged.

Mapping Agricultural, Forestry, And Fisheries Products In Indonesia: The Input-Output Approach

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Economic growth is a goal of economic development. To achieve strong growth, sound planning is essential. Accordingly, product mapping is crucial. Production activities in the agriculture, forestry, and fisheries sectors are part of the economy that produces both food and non-food products needed by humans. Input-output (I-O) analysis is used as a tool for mapping sectors and products. The data used are the 17×17 I-O table for 2020 and the 185×185 I-O table for 2020. The analysis results indicate that the agriculture, forestry, and fisheries sector is not a key sector but rather a sector with weak attractiveness and strong driving power. The sector lacks superior products, possessing only nine products with a strong sensitivity index (SEI).