This study aims to determine the composition effect of several growing media on the growth and production of cayenne pepper (Capsicum frutescens L). This research was carried out on the Labuhanbatu STIPER trial field, Jln. Manunggal AMD, Bakaran Batu Village, Rantau Selatan District, Labuhanbatu Regency, North Sumatra Province which began from December 2018 to March 2019. The experimental design used was Non Factorial Randomized Block Design (RBD) and each treatment was repeated 3 (three) times. Treatment consists of: P0 = Land (control), P1 = Solid + Land (1: 3), P2 = Cow Manure + Soil (1: 3), P3 = Sand + Soil (1: 3), P4 = Land + Solid + Cow Manure (2: 1: 1), P5 = Land + Solid + Sand (2: 1: 1), P6 = Soil + Cow Manure + Sand (2: 1: 1), P7 = Land + Solid + Cow + Sand Manure (1: 1: 1: 1). The results showed that the composition of solid + soil planting media with a ratio of 1: 3 (P1) can increase plant height, number of leaves and stem diameter of cayenne pepper plants. In the composition of soil + solid planting media + cow manure with a ratio of 2: 1: 1 (P4) can increase the weight of fruit crops and the number of fruit crops in cayenne pepper plants.Keywords: composition of planting media, cayenne pepper (Capsicum frutescens L).
One of the important pests attacking coconut palm is Ulat Pemakan Daun Kelapa Sawit (UPDKS) like the Caterpillar. The management of habitat can be done with clean cultivation practices or cultivation use nuts cover soil (cover crop) to increase natural enemies. The research was carried out in April until July 2017. The purpose of this study was to know the abundance of natural enemies population Caterpillar fire contained in research. The location of the research consists of a private plantation with a cover crop and land communities without a cover crop. Observations of the Caterpillar's fire done every week, from first week to third week. The observation is done by swiping pitfall trap method and net. Each block palm oil taken 5 plot used to sweep net and each plot placed 2 pitfall trap. The abundance of natural enemies population level Caterpillar fires on plantation with a cover crop of 137 individuals. The community's land without a cover crop of 107 individuals. Natural enemies was found in the predator type of land cover crop as much as 88% and natural enemies of type parasitoid as much as 12%. Predator type natural enemies present on the land without a cover crop as much as 99% and parasitoid type of natural enemies as much as 1%. Keywords: caterpillar, natural enemies, palm oil, parasitoid, predator
Some communities or farmers in North Rantau Sub-district who do not know how to use land or use land for something of higher economic value. A post-rice field land is the most appropriate idea or mindset in the field, by utilizing agricultural land it becomes more useful by providing knowledge about the chemical properties of paddy fields and providing insight that paddy fields require maximum handling, restoration and improvement so that land is productive in agriculture. chili cultivation, so that it can have a good influence on the economy of the surrounding community. This study aims to determine the chemical properties of the soil to utilize red chili plants in Aek Paing Village, Rantau Utara District, Labuhanbatu Regency. This research was carried out in post-rice fields located in Aek Paing Village, Rantau Utara District, Labuhanbatu Regency. The research was carried out on October 18, 2021 until it was completed. The method used in this research is using the free grid survey method. The results of this study found that post-rice fields located in the District of North Rantau, Labuhanbatu Regency, were not well used as red chili farming land. The results of this study indicate that the pH value is low, C-Organic is low, N-total is low, P-Bray II is high, Ca is low, Mg is low, K is high, Na is low, CEC is high.
The objective of the research was to analyze the condition of seagrass ecosystem in the waters of Natal coastal area. The research was conducted from April until July, 2017. The research location was divided into four areas: Pantai Galon, Pantai Sikara-kara, Pantai Buburan, and Pantai Bintuas. The observation on the seagrass was done by using transect quadrate 1m × 1 m with 5 repetitions. The measurement of density and the percentage of the cover was done in each transect. The result of the research showed that there were four seagrass species which grew along the coastline of Natal: Enhalus acoroides, Halophila ovalis, Cymodocea rotundata, and Halodule pinifolia. E. acoroides was a type of seagrass with the highest density. The highest percentage of seagrass cover in the Buburan coastline area was 89% and the lowest one was in Galon coastal area (51.2%). In general, the condition of seagrass in the waters along the coastal area of Natal is in good/health category. The intensity of light and the velocity of current are the most influencing factor which influences the density and the percentage of seagrass cover along the Natal coastal area.
Palm oil has become the most widely used vegetable oil in the world. The first physical task of the planting area is the preparation of the oil palm plantation field. Oil palm plantations necessitate land suitability research to assess if the land is appropriate and profitable. Crop production more competitive when a future land potential is assessed. Farmers’ lack of understanding of the nature of the field and the varieties of fruit to be planted renders determining their land’s suitability difficult. This study aims to develop a decision-support system for oil palm land suitability based on multicriteria analysis using the Preference Rating Organization Method for Enrichment Assessment (PROMETHEE) method. This method works by performing calculations based on the properties of each criterion. Based on seven metrics, alternative eight was determined to be the best location, with a net flow of 0.2143, accompanied by alternatives 1 and 6. Alternative seven, with a net flow of - 0.1786, was the least suggested.
The total production of Indonesian palm oil (CPO) in 2018 reached 43.9 million tons, with a land area of 12.3 million hectares.However, every month there are still many companies that have problems in predicting palm oil production. Problems in predicting thisproduction can be solved by calculation methods in the field of artificial neural networks, namely the Extreme Learning Machine (ELM)method. This method can solve linear and non-linear data problems and provide better average computation compared to other methods inpredicting oil palm production. The data used is palm oil production data at PT Indo Palm Oil Labuhan Batu with a total of 297 in the period2017-2018. While the parameters used are planting age, land area, number of trees, and yields. The results of the best-hidden neuron testare 13 with 2 technical data features and the training data pattern is pattern 1. The average MAPE value is 20.1% with the fastestcomputing time is the use of the number of hidden neurons 2. So based on the test results, the method ELM has a predictive model withquite good performance because the MAPE value is in the range of 20% -50%.
This study aims to explain about exploring the potential of the Labuhanbatu Regency area in coastal areas as an improvement and development of the results of coastal areas to be empowered and marketed in the labuhanbatu area itself and at the national level conducted by several academics, namely lecturers of the Faculty of economics to the village government and the community of SEI Pegantungan Village Panai Hilir district. Where in this study also explains the impact of the potential empowerment of coastal areas on the income of village communities, as well as other supporting factors. The method is qualitative descriptive research that is by collecting data through observation, interviews, and documentation of the object of research. Data analysis technique is to use descriptive analysis. The results of this research in Sei Pegantungan village show that first, the increase and development of rice crops as a staple food of the community itself and can also be marketed to other regions as input of local revenue to the government conducted by a lecturer at the Faculty of Economics and Business, University of Labuhanbatu through the establishment of a farming group . Second, the increase in the income of people who participate in farming groups. Third, internal and external factors that support the development carried out by lecturers of the Faculty of Economics and Business, University of Labuhanbatu, village government, and also the SEI Pegantungan Village Community, Panai Hilir district in Labuhanbatu Regency.
Karet adalah suatu komoditi perkebunan utama di dunia yang memiliki potensi yang cukup besar. Daerah Kabupaten Labuhanbatu Selatan memiliki begitu banyak perusahaan-perusahaan karet yang telah berkembang, salah satunya yaitu pada PT. PP. London Sumatra (LONSUM) Indonesia, Tbk Sei Rumbia Labuhanbatu Selatan. Perusahaan ini membudidayakan tanaman karet dengan output berupa pada lump serta dry lateks. Lateks inilah yang kemudian diolah di pabrik dan menjadikan suatu lembaran-lembaran karet (rubber sheet). Penelitian ini bertujuan untuk mengetahui kelayakan manajemen sistem pengolahan lateks di PT. PP. London Sumatra (LONSUM) Indonesia, Tbk Sei Rumbia Rubber Factory, Kecamatan Kotapinang, Kabupaten Labuhanbatu Selatan. Penelitian ini dilakukan mulai Januari hingga Maret 2021. Data penelitian yang digunakan adalah data primer yang diperoleh melalui wawancara langsung dengan staf serta menggunakan metode analisis deskriptif. Berdasarkan hasil penelitian, usaha pengolahan lateks karet pada PT. PP. London Sumatra (LONSUM) Indonesia, Tbk Sei Rumbia Labuhanbatu Selatan sudah layak diusahakan dan memberi keuntungan pada faktor lingkungan, serta menunjukkan prospek positif dalam pengembangan industri kedepan.
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