Curcumin is an active component that is widely contained in turmeric. In addition to protecting the liver from damage, it also works as a powerful antioxidant (capturing free radicals harmful to body cells), able toprevent the doubling of cancer cells, can reduce cholesterol and works as anti-inflammation. Recent research proves that Curcumin can also prevent colon cancer. This curcumin has been widely studied by experts both domestic and foreign as a hepatoprotector (protector of the liver from damage) and accelerate the regeneration of liver cells. The modern medic still entrusted liver therapy using Curcumin, as it is safer than using other unnatural substances. It needs a comprehensive agribusiness, steady and continuous effort to supply raw materials and sources of raw materials to be planted and developed it so its increase the value of exports and foreign exchange of Indonesia.
Pengelolaan tanaman penutup tanah merupakan salah satu merupakan salah satu teknik konservasi tanah dan air di perkebunan kelapa sawit. Penelitian ini bertujuan untuk mempelajari potensi beberapa gulma sebagai tanaman penutup tanah di perkebunan kelapa sawit menghasilkan. Penelitian dilaksanakan di perkebunan kelapa sawit rakyat umur 20 tahun di Desa Namorambe Kecamatan Namorambe, Kabupaten Deli Serdang, Sumatera Utara dari Maret sampai Juni 2017. Penelitian disusun menggunakan rancangan acak kelompok satu faktor. Empat spesies gulma (N. biserrata, A. gangetica, P. conjugatum, dan A. conyzoides) dijadikan sebagai perlakuan, setiap perlakuan diulang tiga kali. Hasil penelitian menunjukkan bahwa N. biserrata, A. gangetica, P. conjugatum, dan A. conyzoides berpotensi digunakan sebagai tanaman penutup tanah di area kelapa sawit menghasilkan. Keempat spesies tersebut mudah diperbanyak, cepat menutup lahan (8-12 minggu setelah tanam), memproduksi daun dan cabang cukup banyak, dan cukup mengandung unsur hara di dalam jaringan tanamannya. Kandungan N, P, K, dan C organik tertinggi berturut-turut terdapat pada N. biserrata (4,02% N), P. conjugatum (0,31% P), A. gangetica (2,41% K), dan A. conyzoides (37,23% C-organik).
Studi jarak tanam dan naungan terhadap pertumbuhan dan potensi Asystasia gangetica (L.) T. Anderson sebagai tanaman penutup tanahStudy of plant distance and shade on growth and potential of Asystasia gangetica (L.) T. Anderson as cover crop Abstract. Cover crop is one of nature-based agricultural practices that can increase the provision of various ecosystem services in agroecosystems. A. gangetica is a weed that is often found in oil palm plantations and has the potential as a cover crop. This study aimed to study the optimum planting distance of growth and potential of A. gangetica as a cover crop on open and shaded land. The study was conducted at the Experimental Field, Faculty of Agriculture, UISU, Medan, from January to April 2018. The study used a Split Plot Design with three replications. The first factor as main plot was shade that consisted of two levels, there were: without shade and 50% shaded. The second factor as subplot was planting distance which consisted of three levels, there were: 10 cm x 10 cm, 20 cm x 20 cm, and 40 cm x 40 cm. The results showed that A. gangetica has the potential as cover crop because it grew fast, cover land rapidly, adapt to the environment, and able to suppress weed with an optimum planting distance of 20 cm x 20 cm.
Shallots are seasonal horticultural crops with high economic value. They are one of the horticultural commodities prioritized by the Director General of Horticulture and the Ministry of Agriculture in their development and handling. Therefore, it is necessary to predict the potential of shallot production in Indonesia so that the government has benchmarks and information in determining the right economic policy so that shallot production can continue to be increased or at least be unstable every year. In this study, the prediction algorithm used is the Resilient algorithm. The research data used are shallot production data obtained from the Indonesian Central Statistics Agency. This research will be analyzed using four network architecture models: 6-5-1, 6-10-1, 6-17-1 and 6-29-1. Based on the analysis of the four models used, the results show that the 6-17-1 model is the best because it has a lower Mean Square Error (MSE) value than the other three models, which is 0.0337792, and the accuracy level is quite good. Of 79% with an error rate of 0.04 used. This architectural model will be used to predict the potential for shallot production in Indonesia. Based on the overall prediction results from each province, the potential for Indonesian shallot production at the end of 2022 tends to decrease compared to 2021. The conclusion can be drawn that the application of the Resilient algorithm to the problem of red onion production data in Indonesia is quite good, but the accuracy is not too high, so a more profound study is needed
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