scholarly journals OPTIMALISASI USAHATANI JAGUNG (Zea mays L.) DI KAMPUNG TUMBIT MELAYU KECAMATAN TELUK BAYUR KABUPATEN BERAU

2020 ◽  
Vol 4 (2) ◽  
pp. 129
Author(s):  
Indra Setiawan ◽  
Sri Hartini
Keyword(s):  
Zea Mays ◽  
Sampling Method ◽  
Zea Mays L ◽  
Optimal Level ◽  
Quadratic Regression ◽  
Land Area ◽  
Optimal Production ◽  
Optimal Amount ◽  
The Cost ◽  
Cost Equation

ABSTRAKPenelitian ini bertujuan untuk mengetahui tingkat produksi optimal usahatani jagung(Zea mays L.), besarnya penerimaan optimal, serta keuntungan optimal.Penelitian ini dilakukan di Kampung Tumbit Melayu Kecamatan Teluk Bayur Kabupaten Berau.Metode pengambilan responden yang digunakan dalam penelitian ini adalah Metode Sensus. Pengambilan data dilakukan dengan cara observasi ke lokasi penelitian dan mengadakan wawancara dengan responden. Petani responden ditentukan secara Sensus sebanyak 31 (tiga puluh satu) orang yang sebelumnya dikelompokkan terlebih dahulu dalam strata berdasarkan luas lahan. Analisis data yang digunakan adalah regresi kuadratik untuk persamaan biaya dan regresi linier untuk persamaan penerimaan.    Hasil penelitian menunjukkan bahwa rata-rata produksi yang dicapai responden sebanyak 2.992 kg/ha dengan keuntungan sebesar Rp 5.805.718,-/ha untuk satu kali panen. Dari hasil analisis diketahui persamaan biaya yaitu TC =  dan persamaan penerimaan yaitu TR = . Jumlah produksi pada tingkat penerimaan optimal sebesar 4.057 kg. Besarnya penerimaan Rp 14.195.443,-/ha dan keuntungan optimal Rp 7.006.233,-/ha untuk satu kali musim tanam. Kata kunci : Tingkat Produksi; Penerimaan Optoimal; Keuntungan OptimalABSTRACTThis study aims to determine the optimal level of production of corn farming (Zea mays L.), the optimal amount of acceptance, and optimal profits. This research was conducted in Kampung Tumbit Melayu, Teluk Bayur District, Berau Regency.The sampling method used in this study is the Census method. Data is collected by observation to the research location and conducting interviews with respondents. Respondent farmers were determined by Census as many as 31 (thirty one) people who were previously grouped first in strata based on land area. Analysis of the data used is quadratic regression for the cost equation and linear regression for the revenue equation.The result of the research showed that the averange produc was 2.992 kg per hectare with profit as much Rp 5.805.718,- per hectare for one harvest. Than cost equition was TC =  revenue equition TR = . The quantity of optimal production was 4.057 kg. The revenue was Rp 14.195.443,-and optimal profit was Rp 7.006.233,- per hectare for one harvest.Keywords: Production Level; Optimal Acceptance; Optimal Profit

scholarly journals Economics of Maize (Zea mays L.) production in Nigeria and Maize traditional utilization

2017 ◽  
Vol 5 (2) ◽  
pp. 106
Author(s):  
Monday Sunday Adiaha
Keyword(s):  
Zea Mays ◽  
Herbal Medicine ◽  
Foreign Exchange ◽  
Zea Mays L ◽  
Local People ◽  
Traditional Religion ◽  
Land Area ◽  
Land Utilization

A survey on economics of Maize (Zea mays L.) production in Nigeria and its traditional utilization was conducted. Result of the survey presented maize having the potential of increasing the economy of the nation. Analyzed data presented maize been able to increase the income of the local people and foreign exchange earnings, as observed where price of the crop during 1980 (2500) stands below price at 1989 (14000). Increased in land utilization with increase in years was observed in data analyzed as 1980 (95600 hectares) of land area stands below (211740) in1989. Traditional utilization of maize has been found to include where the crop is been used as herbal medicine, as food, in traditional religion, in-addition to where the crop is been utilized in marital rituals.

scholarly journals ANALISIS PENGGUNAAN FAKTOR-FAKTOR PRODUKSI PADA USAHATANI JANGGELAN DI KECAMATAN KARANGTENGAH KABUPATEN WONOGIRI

2018 ◽  
Vol 31 (2) ◽  
pp. 86
Author(s):  
Jesica Theresia ◽  
Erlyna Wida Riptanti ◽  
Susi Wuri Ani
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Secondary Data ◽  
Land Area ◽  
Urea Fertilizer ◽  
The Real ◽  
Production Factors ◽  
The Cost ◽  
The Village ◽  
Number Of Seeds

<div class="WordSection1"><p><em>This research was aimed to analyze the amount of the costs, the revenue and the income of black grass jelly farming, and analyze the use of factors which influence the production of black grass jelly in Karangtengah Sub-District, Wonogiri District. The location of the research was determined by purposive sampling method. The Village that used on this research was selected bypurposive sampling method. The samples in this research were 40 respondents selected by using proportional random sampling method. The data used in this research was primary and secondary data. The data analysis that usedon this research were:(1) the analysis of the costs, the reception and the income of the farming, (2) the analysis of production function by Cobb-Douglas.The reseach result, based on the analysis of the black grass jelly farming with the land area of 0,37 Ha explained the cost of establishing the farming was Rp 4.425.482,50/PT , the reception of the farming was Rp19.930.000,00/PT and the  income of the farming was Rp 15.504.517,50/PT. The equation function by Cobb-Douglas was : Ln</em><em> = 7,224 + 0,767 ln X1 – 0,162 ln X2 + 0,107 ln X3 + 0,001 ln X4+ 0,317 ln X5 + 0,007 ln X6. The result of regression showed that production factors such as; land area, the number of seeds, urea fertilizer, phonska fertilizer, manure, and the labors had the real impact toward the production of black grass jelly<span style="text-decoration: underline;">.</span>Individually, the production factors such as; urea fertilizer, phonska fertilizer, and the labors did not have the real impact on production of black grass jelly.</em></p></div>

scholarly journals ANALISIS RISIKO PRODUKSI DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA PADA USAHATANI JAGUNG (Zea mays L.) DI KECAMATAN MEMPAWAH HULU KABUPATEN LANDAK

2014 ◽  
Vol 1 (3) ◽  
Author(s):  
Dewi Kurniati
Keyword(s):  
Zea Mays ◽  
Regression Analysis ◽  
Zea Mays L ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Survey Method ◽  
Land Area ◽  
Maize Production ◽  
Production Risk ◽  
Additional Labor

Abstract This study aims to analyze the production risk of maize farming and also find effect of using maize farming input toward the production risk. The method used in this study is a survey method . The location is determined by purposive. Data obtained through interviews with 60 randomly simple maize farmers. The method used is coefficient of variation (CV) analysis and multiple linear regression analysis with heteroscedastic method. The results showed that the production risk of maize farming with land area < 1 ha higher than maize farming with land area ??1 ha. The production risk is influenced by labor , with coefficient value is -0.027 ??and probability value is 0.09 . The number of labor significantly influence the variation of maize production, so that means additional labor affect production risk of maize farming. Key words: risk, production, maize farming

scholarly journals Production analysis of corn farming (Zea mays L) in the Bumi Beringin Village, North Luwuk District, Banggai Regency

2021 ◽  
Vol 2 (1) ◽  
pp. 59-64
Author(s):  
Femiyanti Djamaludin ◽  
Yuni Rustiawati ◽  
Ruslan Zaenuddin
Keyword(s):  
Zea Mays ◽  
Zea Mays L ◽  
Strong Relationship ◽  
Multiple Correlation Coefficient ◽  
Land Area ◽  
Corn Production ◽  
Maize Production ◽  
Production Factors ◽  
Food Commodity ◽  
Number Of Seeds

Corn is a food commodity that is widely cultivated in Bumi Beringin Village. To get high corn production, it is necessary to utilize optimal production factors. This study aims to determine the effect of land area, the number of seeds, amount of fertilizer, and number of workers on maize production (Zea mays L), and the correlation between maize farming in Bumi Beringin Village, North Luwuk District. This research was carried out from March to May 2021. The respondents' determination was carried out using a saturated sampling method or census where 22 farmers did corn farming. The analysis used is the Cobb-Douglas production function with variables of land area (X1), the number of seeds (X2), amount of fertilizer (X3), and number of workers (X4), and corn production (Y). The analysis results obtained multiple correlation coefficient values of 0.99%, indicating that corn production with production factors (land area, seeds, fertilizers and workers) has a very strong relationship with a relationship level of 99%.

scholarly journals Suitability of Rubber Plantation Land Intercropped with Corn (Zea mays L) Plants in Betung Village of Banyuasin District

2020 ◽  
Vol 9 (1) ◽  
pp. 73-79
Author(s):  
Yuana Juwita ◽  
Joni Karman ◽  
Yanter Hutapea ◽  
Suparwoto Suparwoto
Keyword(s):  
Zea Mays ◽  
Sampling Method ◽  
Zea Mays L ◽  
Nutrient Retention ◽  
Limiting Factors ◽  
Survey Method ◽  
Rubber Plantation ◽  
Corn Production ◽  
Corn Plants ◽  
Soil Fertility Status

Juwita Y, Karman J, Hutapea Y, Suparwoto S. 2020. Suitability of rubber plantation land intercropped with corn (Zea mays L) plants in Kelurahan Betung. Jurnal Lahan Suboptimal: Journal of Suboptimal Lands 9(1): 73-79.Rubber is one of the leading commodities of plantations in South Sumatra, especially in Banyuasin District. The opportunity for unused footpath land is a big potential in increasing farmers' income. In Betung Village, besides rubber, the community also raises livestock such as cows. This study aimed to provide information on the actual soil fertility status and see the suitability of the land in the study area when planted with corn plants, as well as the recommendations for the needed technology. The study used a survey method and the soil samples were taken using purposive random sampling method by determining the point diagonally and analyzed in the laboratory. The results of the study showed that the land suitability class at the location was according to the marginal with the limiting factors of water availability (rainfall) and nutrient retention (KB and pH). To obtain optimal corn production results, it is recommended to prepare a rainwater collection area and the addition of lime and organic matter.

The Cost of Being Too Patient

2020 ◽  
Vol 110 ◽  
pp. 314-318
Author(s):  
Paola Giuliano ◽  
Paola Sapienza
Keyword(s):  
Negative Impact ◽  
Well Being ◽  
Optimal Level ◽  
Subjective Well Being ◽  
Optimal Amount ◽  
The Cost ◽  
The Relationship

We study the cost of being too patient on happiness. We find that the relationship between patience and various measures of subjective well-being is hump-shaped: there exists an optimal amount of patience that maximizes happiness. Beyond this optimal level, higher levels of patience have a negative impact on well-being.

scholarly journals BENEFITS OF MAIZE FARMING (Zea mays L) IN AT BANGKAL'S SUB-DISTRICT DISTRICT CEMPAKA BANJARBARU'S CITY SOUTH KALIMANTAN PROVINCE

2019 ◽  
Vol 44 (1) ◽  
pp. 44
Author(s):  
Bahrun Bahrun
Keyword(s):  
Zea Mays ◽  
Production Process ◽  
Random Sampling ◽  
Zea Mays L ◽  
Simple Random Sampling ◽  
Cultivated Land ◽  
Land Area ◽  
Total Cost ◽  
Average Revenue ◽  
Planting Season

This study aims to know technically corn farming, know economically about the costs, revenues and profits of corn farming in Bangkal VillageThe number of farmers who tried corn farming for F1 Bisi-2 superior varieties was 60 people, then Simple Random Sampling was 35% (21 people) of the entire population.Corn farming activities in Bangkal Village with an cultivated land area of an average of 0.81 hectares / farmer. The total cost incurred for corn farming in one production process is 5,028,858.48 / farmer or Rp. 6,208,467.25 / ha. The production obtained is 54,827.05 kg / farmer or an average of 5,959.32 kg / ha (5.96 tons / ha), with prices prevailing at that time, namely Rp.4,000 / kg. Average revenue of Rp. 19.308,190.48 / farmer / planting season or an average of Rp. 23,837,272.19 / ha. Average profit of Rp. 14,279,332.00 / farmer or an average of Rp. 17,628,804.94 / ha 

Influence de l'âge sur les caractéristiques photosynthétiques de la feuille de maïs, Zea mays L

Agronomie ◽  
1982 ◽  
Vol 2 (2) ◽  
pp. 159-166 ◽  
Author(s):  
Olivier BETHENOD ◽  
Christine JACOB ◽  
Jean-Claude RODE ◽  
Jean-François MOROT-GAUDRY
Keyword(s):  
Zea Mays ◽  
Zea Mays L

PRODUKTIVITAS PUPUK ORGANIK TERHADAP HASIL TANAMAN JAGUNG (Zea mays L) DI TANAH MINERAL

1970 ◽  
Vol 3 (2) ◽  
pp. 318-326
Author(s):  
Yoyon Riono.
Keyword(s):  
Zea Mays ◽  
Zea Mays L

Penelitian tentang pengaruh pemberian produktivitas pupuk organik terhadap hasil Tanaman Jagung (Zea mays L) di tanah mineral penelitian ini di laksanakan pada bulan Februari sampai Mei, yang bertempat di Sungai Salak Kecsmstsn Tempuling Kabupaten Indragiri Hilir Provinsi Riau. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) yang disusun secara faktorial yang terdiri dari 2 faktor dan 3 ulangan. Faktor B adalah bokashi pupuk kandang yang terdiri dari 4 taraf yaitu B0 (tanpa pemberianpupuk kandang), B1 (5 ton/ha) dan B2 (10 tom/ ha), serta B3 (15 ton/ha) Parameter yang di amati adalah tinggi tanaman, panjang daun ke tujuh, berat brangkasan basah, berat berangkasan kering, berat tongkol pertanaman sampel, diameter tongkol , produksi per plot, dan berat 100 biji. Selanjutnya data yang di peroleh di olah secara statistik, apabila F hitung lebih besar dari F tabel di lanjutkan dengan uji lanjut Tukey HSD pada taraf 5%. Hasil penelitian menunjukan bahwa interaksi bokashi pupuk kandang dan varietas berpengaruh nyata terhadap berat tongkol dan produksi dan produksi per plot, akan tetapi tidak berpengaruh nyata terhadap tinggi tanaman, panjang daun ke tujuh, berat brangkasan basah, berat brangkasan kering , diameter tongkol dan berat 1000 biji. Untuk perlakuan bokashi pupuk kandang secara tunggal berpengaruh nyata terhadap terhadap diameter tongkol , akan tetapi tidak berpengaruh nyata terhadap tinggi tanaman, panjang daun ke tujuh, berat brangkasan basah, berat brangkasan kering, berat tongkol, produksi per plot, dan berat 1000 biji, perlakuan bokashi terbaik terdapat pada pemberian 15 ton/ha. Sedangkan perlakuan varietas secara tunggal berpengaruh nyata terhadap berat brangkasan basah, berat tongkol, dan produksi per plot seta berat 1000 biji, akan tetapi tidak berbeda nyata dengan tinggi tanaman, panjang daun ke tujuh, berat brangkasan kering, dan diameter tongkol. Varietass terbaik adalah NT 10

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