Jurnal Online Pertanian Tropik

The Relationship between Climate and Productivity of Tea Plants (Camellia sinensis L.) in Bah-Butong Gardens PT. Perkebunan Nusantara IV, North Sumatra Province in 2005-2009.

2024-08-03T18:12:15+07:00

Fluctuations in tea plant productivity are influenced by several climate factors, such as rainfall, number of rainy days, sunlight intensity, temperature and humidity. This research aims to evaluate the impact of climate factors on the productivity of Tea plants in the Bah-butong Plantation of PT. Perkebunan Nusantara IV, Simalungun Regency, North Sumatra. The hypothesis of this research is that rainfall, number of rainy days, sunlight intensity, temperature and humidity partially or simultaneously have a significant influence on the productivity of tea plants at the location. The research was conducted from September 2023 – Desember 2023, with data collection through field surveys and secondary data collection from related agencies. The data collected includes rainfall, number of rainy days, sunlight intensity, temperature, humidity and tea. The analysis method used is multiple linear regression and correlation analysis using statistical software SPSS.v.22 for Windows. The results of the regression analysis show that rainy days and temperature do not have a partially significant effect on increasing tea production. However, rainfall, amount of sunlight, humidity have a significant effect on increasing tea production. The results of the regression analysis show that rainfall, number of rainy days, sunlight intensity, temperature and humidity do not have a significant influence on increasing tea production.

Smart Agriculture Application in Rice Cultivation

2024-08-06T13:39:28+07:00

Rice is a staple food crop that feeds a significant portion of the world's population. Ensuring sustainable and efficient rice production is crucial for global food security. In recent years, the integration of smart agriculture technologies has shown promise in improving various aspects of rice cultivation. This paper provides an overview of the key smart agriculture applications that can enhance rice cultivation practices. The review discusses the use of precision farming techniques, such as GPS-guided tractors and drones for site-specific management of inputs like fertilizers and pesticides. It also examines how sensor networks and Internet of Things (IoT) devices can monitor environmental conditions, soil fertility, and plant health to enable data-driven decision-making. Smart irrigation systems leveraging soil moisture sensors and weather forecasts are highlighted as a means to optimize water usage. Furthermore, the paper explores the role of automation and robotics in automating labor-intensive tasks like transplanting, weeding, and harvesting. It also discusses the potential of machine learning and predictive analytics to improve crop yield forecasting, pest and disease management, and supply chain logistics. The adoption of these smart agriculture technologies in rice farming has demonstrated improvements in productivity, resource efficiency, and environmental sustainability. However, challenges remain in scaling up these solutions and ensuring their accessibility to smallholder farmers. The paper concludes by outlining future research directions and policy considerations to further advance smart agriculture in the rice cultivation sector.

Purple Sweet Potato Flour Substitution And Fermentation Time In White Bread Modification

2024-03-18T15:24:52+07:00

The rapid development of noodle consumption in Indonesia provides this lesson that noodles are a type of food by needs or favorite Indonesian consumers, it could even be said that noodles have become an alternative food main after rice. The management of purple sweet potatoes is another alternative to consuming carbohydrates so that they can be processed into food products such as bread, pasta, noodles instant, etc. Utilization of sweet potatoes purple can also be substituted with wheat flour and is the first step in reducing the consumption of wheat flour, remembering that Indonesia is not a wheat-producing country which is the raw material for wheat flour, so it is an advantage because No need to import flour wheat. This research aims to find the best substitution for purple sweet potato with wheat flour and the best drying temperature in producing modified dry noodles. The design model used in this research was a completely randomized design (RAL) factorial consisting of two factors that is: Factor I (U = Substitution of purple sweet potato with wheat flour) consisted of 4 treatments namely: U1 (20%:80%), U2 (30%:70%), U3 (40%:60%), and U4 (50%:50%). Factor II (S = Drying Temperature) consists of 4 treatments, namely: S1 (65° C), S2 (70° C), S3 (75° C) and S4 (80° C). The parameter observed consists of rate water, rate ash, rate fat, organoleptic texture, taste, and color. The results of the research show that the substitution of purple sweet potato with wheat flour is influential and very significant (P>0.01) to rate water, rate ash, organoleptic texture, taste, and color but the effect is not significant (P<0.05) to rate fat. Temperature drying influences different very significantly (P>0.01) to rate water and rate ash. However influential no significant (P<0.05) on fat content, organoleptic texture, taste, and color. Interaction treatment is influential with no significance (P<0.05) for all parameters analyzed. To obtain noodles dry sweet potato purple which is quality good recommended for use 20% sweet potato purple, 80% flour wheat, and temperature drying 80° C.