It is necessary to know the strategy for developing the copra agroindustry in Mamala Village. Sampling was carried out using the purposive sampling method. The analysis tool us is the SWOT matrix. The results of the research show that the strategy used is to locate the copra industry close to the farmers' location so that there is cooperation between the industry and local farmers and it makes it easier for farmers to sell coconuts to the industry because the distance is quite close. The copra quality is good so it creates demand. there is always copra on the market, the availability of capital to buy coconut raw materials so that there is always coconut raw material to be produced into copra, the industry has a skilled workforce so that the potential for long-term copra products is quite good, even though the equipment technology for processing copra is still simple does not affect the long-term potential of copra products, having a small number of workers does not hinder the copra production process so that there is always a demand for copra in the market, the influence of uncertain market prices does not affect the good quality of copra, the existence of climate change on copra production is minimized because the availability of skilled workers in processing copra, having a small number of workers does not affect market access in selling copra products.

This research is motivated by the fact that the size of lowland rice productivity depends on the production factors used, including land area, seeds, Phonska fertilizer, urea fertilizer, labor, pesticides and irrigation. Therefore, the purpose of this study was to determine the effect of farming production factors on lowland rice productivity in Atula Village, East Kolaka Regency. The analytical method used in this research is multiple linear regression analysis method. The results showed that simultaneously farming production factors consisting of land area, seeds, phonska fertilizer, urea fertilizer, labor, pesticides, and irrigation had a significant effect on lowland rice productivity with a significance value in the F test of 0.000 which means it is smaller from the set significance level that is 0.05 (5%). and partially the production factors that significantly influence the productivity of lowland rice are land area, phonska fertilizer, urea fertilizer, pesticides and irrigation. While the production factors that do not have a significant effect are the use of seeds and labor.

Medicinal plants are plants whose leaves, stems and roots can be used as medicine. Some of these medicinal plants are used in traditional or alternative medicine in local communities. Apart from that, medicinal plants also have the advantage that they do not cause side effects and can be treated by family members themselves. The successful use of medicinal plants is greatly influenced by public knowledge about the benefits of each type of medicinal plant, especially medicinal plants that have been studied empirically. Research with the title Inventory of Medicinal Plants in the Babakan Siliawangi City Forest Area on June 12 2024, with this research method aims to determine the diversity of types of medicinal plants and to determine the potential of these medicinal plants for the surrounding community. The results of this research were 10 types of medicinal plants, including: Binahong, Yellow Bamboo, Jengkol, Matoa, Forest Tea, Forest Betel, Japanese Papaya, Sausage Tree, Butterfly Tree, Simpur Tree. The most widely used medicinal plant organ is the root, bark, flowers and leaves.
 
 

This research aims to analyze the relationship between feed prices and the productivity of broiler chickens in Indonesia, considering that poultry farming is the main source of animal protein needs for the community. One important component that influences production efficiency is feed prices, which often change due to changes in local and international markets. This research uses a quantitative analysis method with regression which is used in this research to find the relationship between the increase in feed prices and the level of productivity of broiler chickens, including body weight gain, feed efficiency and mortality rates. The data used includes feed prices, production costs and harvest yields from various regions in Indonesia during a certain time period. According to research results, the increase in feed prices made a significant contribution to the decline in broiler chicken productivity. These results indicate that to maintain production stability, strategies to manage feed costs and diversify local raw material sources are needed. In conclusion, to keep the poultry farming industry in Indonesia afloat, feed price stability is very important.

This study investigated the effect of genetic quality of local North Sumatra cattle on fattening efficiency. PCR and RFLP-based genetic analyses and fattening efficiency measurements through average daily growth (ADG) and feed conversion (FCR) were used. local cattle from Deli Serdang, Langkat, and Simalungun were used. The study showed that feed management involving the use of concentrate and high-quality forage can improve cattle fattening efficiency, and the IGF-1 gene plays a significant role in cattle growth. A strong correlation between fattening efficiency and genetic quality (r = 0.85) indicates the importance of genetic selection to improve productive local cattle. Based on these findings, it is recommended to implement molecular marker-based genetic selection programmes and improve feed management by diversifying local feed sources. In addition, it is necessary to improve farmer training on more efficient husbandry methods. This research provides policy suggestions that can be implemented to support the curiosity of the livestock industry in North Sumatra and improve the efficiency of local cattle production.

. Freezing is a widely used preservation method to extend the shelf life of food, yet conventional freezing often produces large ice crystals that damage tissue structures and reduce product quality. This study aims to evaluate the effectiveness of ultrasound-assisted freezing technology in improving the quality of frozen food. A literature review method was employed, focusing on scientific publications from 2015 to 2025. The results show that ultrasound application, particularly High-Intensity Ultrasound (HIUS), can accelerate the freezing rate by enhancing ice nucleation and improving heat transfer efficiency. The formation of smaller and more uniformly distributed ice crystals helps preserve the structural integrity of food and reduces water loss during thawing. The effectiveness of this technology varies depending on the type of food material, temperature, duration, and ultrasound intensity. In animal-based products, it helps maintain texture and color, while in plant-based materials, it preserves moisture content and firmness. However, excessively high intensity may pose a risk of protein denaturation, especially in sensitive materials such as fish. These findings suggest that ultrasound-assisted freezing is a promising innovative solution to improve both the quality and efficiency of the food freezing process.

The growth of Indonesia's cattle population and productivity, and the factors contributing to these changes. Government policies, livestock health conditions and a shortage of quality feed have transformed Indonesia's cattle sector in recent years. Although the Special Effort for Mandatory Breeding Cattle (Upsus Siwab) programme has resulted in an increase in the cattle population, the implementation of this programme is still uneven across the country. In contrast, Foot and Mouth Disease (FMD) outbreaks and feed limitation issues are major constraints to increasing productivity. As the results show, regions that have better access to artificial insemination technology and high-quality feed have better results compared to other regions. To achieve sustainable cattle growth in Indonesia, more equitable policies, strengthened animal health systems, and improved feed distribution and quality are needed.

This study is intended to examine the marketing strategies implemented by horticultural farmers in Serang City by utilizing the Facebook platform, and to find out whether the number of posts and comments can affect sales volume. This study applies a quantitative approach with multiple regression analysis techniques. Data was collected by purposive sampling method through interviews, questionnaires and observations by horticultural farmers in the Facebook community “Petani Serang Banten”, with the number of samples used as many as 9 horticultural farmers. The results of this study show that there is an influence between the independent variables (number of posts and number of comments) on the dependent variable (the level of sales of horticultural commodities). In this study, horticultural farmers are advised to be able to utilize Facebook social media in marketing their agricultural products.

The Ritel business in Indonesia is growing and increasing every year because it is considered a promising investment with great potential for significant profits. This study aims to understand and evaluate the layout of Retail Lestari's business. The method used in analyzing the data is the Activity Relationship Chart (ARC) and Total Closeness Rating (TCR) method. Based on the results of the Activity Relationship Chart (ARC) analysis of Ritel Lestari, the facility prioritized for first construction is the cashier, as the cashier has the highest Total Closeness Rating (TCR) value of 76. Therefore, to facilitate the operational process, the placement of other facilities is prioritized based on their highest relationship values to the warehouse to be in close proximity.

Oil palm (Elaeis guineensis Jacq.) is one of the world's important commodities as a producer of vegetable oil needed by various industries. Leaf area index is one of the indicators of plant growth seen from the size of the leaf surface area that carries out the photosynthesis process. This study aims to determine the interaction of NPK Phonska fertilizer dose treatment and its application method on the Leaf Area Index of oil palm seedlings at the pre-nursery stage. The study was designed using factorial RAK consisting of 2 factors, namely the dose of NPK Phonska fertilizer (K) and its application method (A), and 3 replications. The K factor consists of 5 levels, namely K0 = 0 g/seedling; K1 = 0.5 g/seedling, K2 = 1 g/seedling, K3 = 1.5 g/seedling, and K4 = 2 g/seedling. Factor A consists of 3 levels, namely A1 = watering, A2 = spreading, and A3 = bag. The observation results were analyzed using analysis of variance and further DMRT test at 5% level if significantly different. The results of the study showed that the dose of NPK Phonska fertilizer 1 g/seedling (K2) gave the highest results on the Leaf Area Index, which was 2.90. The interaction treatment of NPK Phonska fertilizer dose 1 g/seedling and the pocket application method (K2A3) gave the highest results on the parameters of seedling height (12.99 cm) and tuber diameter (1.31 cm). The Leaf Area Index weakened positively on the growth of oil palm seedlings as seen from the height of the seedlings, tuber diameter, and leaf sheath length.