https://repository.unisma.ac.id/handle/123456789/86 Publikasi Ilmiah Dosen Fakultas Pertanian Tue, 14 Jul 2026 19:36:19 GMT 2026-07-14T19:36:19Z https://repository.unisma.ac.id/handle/123456789/8749 Peningkatan Pertumbuhan Dan Hasil Tanaman (Glycine max (L.) Merill) Menggunakan Teknologi Sonic Bloom Pujiwati, Istirochah; Murwani, Indiyah Penelitian bertujuan untuk mempelajari pengaruh gelombang suara frekuensi tinggi dan konsentrasi pupuk organik cair terhadap perlumbuhan dan hasil tanaman kedelai. Penelitian disusun menggunakan rancangan acak kelompok (RAK) faktorial yang terdiri dai 2 faktor. Faktor pertama frekuensi gelombang suara, terdiri atas tiga level yaitu F1: frekuensi 2000 Hz, F2: frekuensi 4000 Hz dan F3: frekuensi 6000 Hz. Faktor kedua yaitu konsentrasi pupuk organik cair, terdiri atas tiga level yaitu K1: konsentrasi 2 cclTiter, K2: konsentrasi 4 cclliter, K3: konsentrasi 6 ccllitr'r dan diulang 3 kali, ditambah satu perlakuan kontrol. Hasil penelitian menunjukkan terdapat interaksi yang nyata pada pengamatan rata-rata luas daun umur 29 HST dimana kombinasi perlakuan FzK: (frekuensi 4000 hertz dan konsentrasi 6 cclliter) memiliki luas daun tertinggi seperti 406,85 cm2. Jumlah daun terbanyak ditemukan pada perlakuan konsentrasi 2 mUliter dan frekuensi 4000 Hz dengan rata-rata jtmlah daun 5,6 helai dan jumlah bunga terbanyak sebesar 69,7 kuntum. Perlakuan dengan frekuensi 6000 Hz memberikan rata-rata jumlah polong terbanyak yailu 4,7 polong. Tue, 13 Aug 2013 00:00:00 GMT https://repository.unisma.ac.id/handle/123456789/8749 2013-08-13T00:00:00Z https://repository.unisma.ac.id/handle/123456789/2580 Consumption and Beef Price Changes on Demand in East Nusa Tenggara, Indonesia Nendissa, Doppy Roy; Anindita, Ratya; Khoiriyah, Nikmatul; Sa’diyah, Ana Arifatus Households consume animal protein after carbohydrate food is fulfilled, moreover animal protein prices are increasing. This study aims to analyze the effect of rising beef prices on demand. The demand system approach uses the Quadratic Almost Ideal Demand System (QUAIDS) model. Estimation of parameters using Iterated non-linear Seemingly Unrelated Regression. The research data use the 2016 National Socio Economic Survey (Susenas, 2016), amounting to 10,751 households. The results of the study concluded that beef is the third most elastic animal food after fresh fish and chicken meat. Fresh fish in the most elastic among all animal foods with a demand elasticity of 3.31%, followed by chicken, beef, milk powder, and eggs with demand elasticities of 1.55%, 1.62%, 1.29%, and 0.80%, respectively. Beef is a luxury item with an income elasticity of 1.59%, as well as fresh fish, chicken meat, and milk powder. While eggs are normal goods. Although fresh fish is more elastic than beef, beef marginal expenditure share (MES) is higher than fresh fish MES, so that in the long run, the increase in household income tends to increase beef consumption more than fresh fish. [ARCHIVES] Copyright Article from : Agris on-line Papers in Economics and Informatics Fri, 01 Jan 2021 00:00:00 GMT https://repository.unisma.ac.id/handle/123456789/2580 2021-01-01T00:00:00Z https://repository.unisma.ac.id/handle/123456789/2468 Forecasting the Basic Conditions of Indonesia's Rice Economy 2019-2045 Arifin, Zainul; Hanani, Nuhfil; Kustiono, Djoko; Syafrial; Asmara, Rosihan By 2045, Indonesia's population is expected to reach 321.4 million, the fifth largest in the world after China, India, Nigeria, and the United States. It is an excellent challenge for Indonesia to provide food in the future as it keeps pace with the rapid population growth. This study aims to analyze forecasting the basic conditions of Indonesia’s rice economy 2019-2045. The research data use time-series data from 1961-2018, including data from the Central Bureau of Statistics (BPS), Ministry of Agriculture/Pusdatin, Food and Agriculture Organization (FAO), International Rice Research (IRR), Department of Commerce, United States Department of Agriculture (USDA), and ASEAN Food Safety Information System (AFSIS). Data analysis using the simultaneous equations model approach. The results show that in 2019-2045 the projection of rice productivity in 2025 is 64,465 quintals per hectare; in 2035, it is 68,797 quintals per hectare, and in 2045 it is 77,462 quintals per hectare. In 2045, the projected land area is 27.64 million hectares. Although Indonesia is forecast to experience a rice surplus of 37.80 million tonnes in 2045, the projected rice production and domestic rice consumption level indicate the potential for rice imports of 15 million tonnes. [ARCHIVES] Copyright Article from : Agricultural Socio-Economics Journal Fri, 30 Apr 2021 00:00:00 GMT https://repository.unisma.ac.id/handle/123456789/2468 2021-04-30T00:00:00Z https://repository.unisma.ac.id/handle/123456789/2464 Does Different Management and Organic Inputs in Agroforesty System Impact the Changes on Soil Respiration and Microbial Biomass Carbon? Prayogo, C.; Kusumawati, I.A.; Qurana, Z.; Kurniawan, S.; Arfarita, N. Agroforestry system is assumed to be an alternative system which reduces the negative impact of the forest conversion to agricultural land in term of maintaining soil quality and its fertility. This study was aimed to explore effects of different management on agroforestry system upon soil microbial biomass, soil respiration, and organic matter dynamic and nutrients. This study was conducted at UB Forest from November 2017 to February 2018 by collecting various parameters and soil samples from eight different types of land use. Biomass were measured using allometric equation by collecting tree diameter at the height of 1.3 m. Litter inputs were collected using a litter trap method, while in-situ litter were determined using destructive methods. Soil carbon was examined using Walkley and Black method and POM C. Biplot and CVA multivariate analyses were adopted to determine the impact of different management and organic matter inputs. The result showed that the conversion from old agroforestry system of Pine Coffee (PK3 and PK4) to agriculture practices PS (Pine 40 years and vegetable (cabbage) reduced the organic matter inputs by 40%, litter input by 80%, and total POM C by 40% The highest soil microbial biomass carbon and soil respiration were detected on PK3 plot (pine 35 years with coffee at 5 to 8 years old) which were to about 55.48 mg kg -1 and 4.03 mg, respectively. The reduction on organic matter inputs highly correlated to the level of soil respiration and microbial biomass C. Multivariate analysis can distinguish and clustered the treatments along X and Y axis to about 90%. The best system to provide the greatest input of soil organic input which then affected the highest soil organic carbon and microorganism. However, the consequency of this was the increasing of soil respiration and releasing carbon to the atmosphere [ARCHIVES] Copyright Article from : IOP Conference Series: Earth and Environmental Science Fri, 01 Jan 2021 00:00:00 GMT https://repository.unisma.ac.id/handle/123456789/2464 2021-01-01T00:00:00Z