scholarly journals PEMILIHAN LOKASI BUDI DAYA IKAN, RUMPUT LAUT, DAN TIRAM MUTIARA YANG RAMAH LINGKUNGAN DI KEPULAUAN TOGEAN, SULAWESI TENGAH

2016 ◽  
Vol 2 (3) ◽  
pp. 303 ◽  
Author(s):  
Utojo Utojo ◽  
Abdul Mansyur ◽  
Akhmad Mustafa ◽  
Hasnawi Hasnawi ◽  
Abdul Malik Tangko
Keyword(s):  
Global Positioning System ◽  
Secondary Data ◽  
Scientific Data ◽  
Primary Data ◽  
Survey Method ◽  
Coastal Fisheries ◽  
Total Potential ◽  
Pearl Oysters ◽  
Global Positioning ◽  
Central Sulawesi

Sumber daya lahan perikanan pesisir di Sulawesi Tengah yang potensial untuk pengembangan budi daya laut berada di Teluk Tomini, namun demikian belum diperoleh data secara rinci kelayakannya. Penelitian ini bertujuan untuk menentukan kelayakan lokasi bagi pengembangan budi daya di perairan Kepulauan Togean, Kabupaten Tojo Una-Una, Sulawesi Tengah dan penelitiannya dilaksanakan dengan metode survai. Pengumpulan data sekunder meliputi data iklim, pasang surut, produksi perikanan, peta rupa bumi Indonesia kawasan Tojo Una-Una skala 1:25.000, peta citra landsat7ETM digital, dan peta navigasi (batimetri) skala 1:200.000 yang dilakukan sebelum pelaksanaan survai. Data primer diperoleh melalui pengukuran langsung di lapang yang meliputi topografi pantai, keterlindungan, oseanografi, dan biologi. Seluruh lokasi pengambilan contoh ditentukan posisinya dengan Global Positioning System (GPS) dan data yang diperoleh dianalisis dengan menggunakan Sistem Informasi Geografis (SIG). Dari hasil penelitian ini telah diidentifikasi sumber daya lahan perikanan pesisir yang potensial dikembangkan dan dinilai layak untuk kegiatan budi daya laut yaitu seluas 1.601,3 hektar. Lokasi yang potensial dikembangkan untuk budi daya ikan dalam keramba jaring apung (KJA) terdapat di sekitar Kepulauan Siatu 365,2 hektar; Kepulauan Salaka 385,8 hektar; dan Pulau Kadidiri 270,9 hektar. Sedangkan lokasi yang potensial dikembangkan untuk budi daya rumput laut dan tiram mutiara terdapat di sekitar Pulau Huo dan Bungin 579,4 hektar. Seluruh lokasi tersebut ditampilkan dalam peta prospektif skala 1:50.000.Central Sulawesi had coastal resources which are potential to be developed for mariculture i.e Tomini Bay, however the scientific data support was unavailable. This study was conducted by survey method to find out suitable location to be developed for mariculture in Togean Archipelago, Tojo Una-Una Regency, Central Sulawesi. Secondary data such as wheather, tidal plate, coastal fisheries production, Indonesia earth surface map of scale 1:50,000, citra land sat-7ETM digital product, and navigation map of scale 1:200,000 were collected before the study. The primary data was collected from each study areas and interpreted as mariculture requirement for several domesticated species i.e. fish, seaweed, and mollusca. Tematic map of area, suitability as the main expected out put of the study was made through spatial analysis and GIS as suggested by reference. The total potential areas which were suitable for mariculture development  are 1,601.3 hectares, namely either for fish culture in floating net cage (1,021.9 hectares), seaweed and pearl oysters (579.4 hectares) were distribution in the sea waters of Siatu, Salaka, Kadidiri, Huo, and Bungin island.

scholarly journals EVALUASI KESESUAIAN PERAIRAN UNTUK BUDIDAYA IKAN BETUTU Oxyeleotris marmorata (BLEEKER, 1852) DI DESA RANTAU JAYA MAKMUR SUNGAI WAY PEGADUNGAN KECAMATAN PUTRA RUMBIA KABUPATEN LAMPUNG TENGAH

2018 ◽  
Vol 7 (1) ◽  
pp. 807
Author(s):  
Rara Diantari ◽  
Abdullah Aman Damai ◽  
Leoni Dian Pratiwi
Keyword(s):  
Global Positioning System ◽  
Quantitative Method ◽  
Secondary Data ◽  
Primary Data ◽  
Positioning System ◽  
Scoring Methods ◽  
Suitability Analysis ◽  
Chemical Parameters ◽  
Global Positioning ◽  
Physical And Chemical

Way Pegadungan is a tributary of Way Seputih, has a length of 35.31 km and a river width of 50 to 70 meters. Way Pegadungan is very potential for aquaculture but has not been used optimally. This research was held in March - May 2018 using a descriptive quantitative method aimed at assessing the level of suitability of the waters by knowing the physical and chemical parameters for the cultivation of betutu fish. The data used primary data, namely the parameters of water suitability in the form of water quality values, while the secondary data is in the form of research location maps. Water suitability analysis was carried out using matching and scoring methods. The range of data obtained is depth: 6-7 m, brightness: 37,5-55 cm, temperature: 28-29ºC, pH: 7-8,21, dissolved oxygen: 4,02-6,73 mg / l, current : 0,14-0,16 m / s, nitrate: 0,16-0,21 mg / l, phosphate: 0,01-0,025 mg / l, ammonia: 0,01-0,065 mg / l, organic matter: 6,7-10,76 mg / l. Sampling stations were 4 stations determined by the global positioning system (GPS). At the first and fourth points get moderately sutable  (S2) and at the second and third points get marginal sutable (S3).

scholarly journals PROSES DEKOMPOSISI BATANG KELAPA SAWIT (Elaeis guineensis Jacq.) METODE REPLANTING SISIPAN DAN PENCINCANGAN

2017 ◽  
Vol 2 (2) ◽  
pp. 55
Author(s):  
Nasamsir Nasamsir ◽  
Yuza Defitri ◽  
Heri Suhermanto
Keyword(s):  
Global Positioning System ◽  
Oil Palm ◽  
Elaeis Guineensis ◽  
Survey Methods ◽  
Secondary Data ◽  
Primary Data ◽  
Positioning System ◽  
General Description ◽  
Global Positioning ◽  
Plastic Bag

 This research was carried out in Panca Mulya Village, Sungai Bahar District, Muaro Jambi Regency, Jambi Province since August to September 2017. The material that used was weathering stems of oil palm that already previously replanting by 6 to 7 months, while the tools that used was the Global Positioning System (GPS) with Garmin GPSmap 78s as its brand, plastic bag, holding tool, camera, and stationery. This research was carried out by survey methods applying. Samples was collected from the replanting areas of both underplanting and chipping method, respectively 2 blocks with 3 locations each block had 200 m distance to North direction with 0.2 kg weight. Secondary data was collected from a company and Indonesian Agency for Meteorological, Climatological and Geophysics (Badan Meteorologi, Klimatologi, dan Geofisika or simply BMKG) while primary data was an interviews with farmers using a questionnaire. The collected data were : general description of research location, rainfall, temperature, humidity, soil acidity, C-N ratio of oil palm stem both before and after decomposition, from the replanting of both underplanting and chipping methods. The result of this study showed that C-N ratio of oil palm stem before decomposition was 58.42, C-N ratio of oil palm stem decomposition that replanting with underplanting method was 37.18, and the average C-N ratio of chipping method was 14.24. Be equaling with the compost quality specifications on Indonesian national Standar (Standar Nasional Indonesia (SNI) 19-7030-2004, so C/N value of decomposition process of oil palm stem that replanting by chipping method was already meet this standard with 10 to 20 as a C/N grade. Keywords ; C-N ratio, oil palm, replanting methodPenelitian ini dilaksanakan di desa Panca Mulya, kecamatan Sungai Bahar, kabupaten Muaro Jambi, Jambi pada bulan Agustus sampai September 2017. Bahan yang digunakan adalah hasil pelapukan batang Kelapa sawit yang sudah direplanting 6 sampai 7 bulan sebelumnya, sedangkan alat-alat yang digunakan adalah Global Positioning System (GPS) merek Garmin GPSmap 78s, kantung plastik, alat pengambil bahan, kamera, dan alat tulis. Penelitian ini dilaksanakan dengan metode survey, sampel dikumpulkan dari areal replanting metode sisipan dan matode pencincangan, masing-masing 2 blok pada 3 titik setiap blok jarak 200 m arah utara dengan berat 0.2 kg. Data sekunder dikumpulkan dari perusahaan atau BMKG dan wawancara dengan petani menggunakan kuisioner. Data yang dikumpulkan adalah ; informasi umum lokasi penelitian, curah hujan, suhu, kelembaban, pH tanah, rasio C-N batang Kelapa sawit sebelum dekomposisi, serta rasio C-N hasil dekomposisi.dari replanting metode sisipan dan pencincangan. Hasil penlitian menunjukkan nisbah C-N batang Kelapa sawit di daerah penelitian sebelum dekomposisi 58,42, rasio C-N dekomposisi batang Kelapa sawit replanting dengan metode sisipan rata-rata 37.18, dan metode pencincangan rata-rata 14,24. Bila disetarakan dengan spesifikasi kualitas kompos SNI 19-7030-2004, nilai C/N proses dekomposisi batang Kelapa sawit hasil replanting metode pencincangan sudah memenuhi standar dengan nilai C/N 10 sampai 20.Kata kunci ; rasio C-N, Kelapa sawit, metode replanting

STABILITAS HARGA IKAN DI KOTA AMBON MELALUI PERAN COLD STORAGE, OPTIMASI PRODUKSI DAN EFISIENSI TEKNIS

2018 ◽  
Vol 2 (2) ◽  
pp. 74-84
Author(s):  
Stevanus Marelly Siahainenia ◽  
Dionisius Bawole ◽  
Eygner Gerald Talakua
Keyword(s):  
Cold Storage ◽  
Secondary Data ◽  
Raw Material ◽  
Primary Data ◽  
Survey Method ◽  
Production Factors ◽  
Flying Fish ◽  
Qualitative Descriptive ◽  
Installed Capacity ◽  
Space Capacity

The purpose of this study was to find out the function of cold storage in stabilizing fish prices in Ambon City, analyzing optimal production levels of various types of dominant fish, and analyzing the level of efficiency of utilization of cold storage and auxiliary machinery. This study uses the survey method. Primary data collection through questionnaires is built empirically while secondary data is obtained from several agencies related to this study. The research sample was drawn by exhausting sampling, amounting to 6 cold storage units in Ambon City. The role of cold storage to stabilize fish prices was analyzed using a qualitative descriptive approach, while the quantitative techniques used included analysis of optimization of cold storage production with linear programming and analysis of the efficiency of utilization of cold storage. The results of the study show that cold storage has not played a role properly to stabilize fish prices in Ambon City. To achieve optimal use of production factors, the cold storage management needs to reduce the raw material by 24,915.9 kg / month; 7 HOK / month workforce; cold storage storage space capacity of 2.09 kg / month; and demand for flying fish 1,402.6 kg / month, while the use of production factors efficiently (fully utulized) is the capacity of the freezing machine, demand for tuna, skipjack, and cob. The level of technical efficiency of the utilization of cold storage facilities is reached, the total use of installed capacity must be proportional to the capacity used.

DAYA SAING DAN PERAN PEMERINTAH DALAM MENINGKATKAN DAYA SAING KOMODITI KAKAO DI SULAWESI TENGAH

2017 ◽  
Vol 11 (1) ◽  
pp. 69-96
Author(s):  
Siti Yuliaty Chansa Arfah ◽  
Harianto . ◽  
Suharno .
Keyword(s):  
Policy Analysis ◽  
Government Policy ◽  
Secondary Data ◽  
Research Area ◽  
Primary Data ◽  
Cocoa Beans ◽  
Output Analysis ◽  
The Government ◽  
Central Sulawesi ◽  
Policy Analysis Matrix

Penelitian ini bertujuan untuk mengkaji daya saing komoditi kakao di Sulawesi Tengah dan melihat peran pemerintah dalam meningkatkan daya saing komoditi kakao. Data primer berasal dari observasi, wawancara dan kuesioner, sementara data sekunder berasal dari instansi terkait. Metode analisis menggunakan Policy Analysis Matrix (PAM) dan analisis sensitivitas. Penelitian ini menemukan bahwa nilai PCR Kabupaten Parigi Moutong 0,589 dan Kabupaten Sigi 0,396. Sedangkan nilai DRC Kabupaten Parigi Moutong 0,387 dan Kabupaten Sigi 0,319. Hal tersebut mengindikasikan bahwa usahatani komoditi kakao di Sulawesi Tengah memiliki daya saing, namun tidak menguntungkan secara ekonomi karena Sulawesi Tengah menghasilkan biji kakao yang tidak difermentasi akibatnya petani menerima harga rendah. Berdasarkan hasil analisis, pemerintah belum memberikan proteksi terhadap harga biji kakao dalam negeri melalui harga referensi biji kakao sehingga harga biji kakao didaerah penelitian masih tergolong rendah jika dibandingkan dengan harga di pasar internasional. Sementara terhadap input, pemerintah telah memberikan kebijakan subsidi kepada petani, namun implementasinya masih perlu perbaikan terutama terkait penyaluran dan pengelolaan bantuan agar merata. Kajian ini merekomendasikan masih diperlukan kebijakan pemerintah baik terhadap input maupun output untuk meningkatkan produktivitas, menurunkan biaya produksi dan menaikkan harga jual biji kakao, sehingga dapat meningkatkan daya saing biji kakao. The purpose of this study is to assess the competitiveness of cocoa in Central Sulawesi and to investigate the role of government in improving the competitiveness of cocoa. The primary data were generated through observation, interviews and some questionnaires. The secondary data were obtained from the agency or the institution related to the research. This study uses the Policy Analysis Matrix (PAM) and sensitivity analysis. The study found that the PCR value for Parigi Moutong district was 0.589 and Sigi district was 0.396. While, the DRC value for Parigi Moutong district was 0.387 and Sigi district was 0.319. This indicates that cocoa beans farming in Central Sulawesi has competitiveness, but not economically beneficial because Central Sulawesi produces unfermented cocoa beans consequently farmers receive low prices. Based on the results of the government's impact on output analysis, the government did not provide protection for domestic cocoa seed prices through the reference price of cocoa beans, consequently the price of domestic cocoa beans, particularly in the research area, was relatively low compared to the price of cocoa beans at the international market. Seen from the government policy on inputs, the government have provided subsidies to farmers but they need to improve the distribution and management of aid to be evenly distributed. It is necessary to set up good government policy on inputs and outputs in order to increase cocoa seed productivity, decrease production cost and increase the price which simultaneously can improve its competitiveness in the research location.

PENGARUH PENDAPATAN RUMAH TANGGA TERHADAP KONSUMSI DAGING (SAPI, BABI DAN AYAM ) DI DESA SEA I KECAMATAN PINELENG

ZOOTEC ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 10
Author(s):  
Richie A.F. Osak ◽  
V V.J Panelewen ◽  
J. Pandey ◽  
I. D.R Lumenta
Keyword(s):  
Household Income ◽  
Household Head ◽  
Secondary Data ◽  
Meat Consumption ◽  
Research Problem ◽  
Chicken Meat ◽  
Primary Data ◽  
Survey Method ◽  
The Difference ◽  
The Village

ABSTRACT THE EFFECT OF HOUSEHOLD INCOME ON MEAT CONSUMPTION (BEEF, PORK AND CHIKEN) AT THE VILLAGE OF SEA I, PINELENG DISTRICT.This study aims to determine the magnitude of meat consumption (beef, porl and chiken) of household based on income levels in the Village of Sea I, Pineleng district and to determine the effect of household income on meat consumption (beef, porl and chiken) in the Village of Sea I, Pineleng district. Formulation of research problem is how much they purchased meat (beef, porl and chiken) consumption household in the Village of Sea I, Pineleng district. This study was conducted in the Village of Sea I, Pineleng district. Study was conducted using a survey method, and data were obtained through primary data and secondary data. Determination of the location (rural sample) in the study was conducted by purposive sampling method. Number of samples used in this study were 30 people. Data of this study were analyzed by descriptive and mathematical analysis methods. Income indicated the amount of income earned in a month household, whether they were from the household head or sourced from other household members who work and earn income. From the money earned, the highest number of respondents had incomes between 1.000.000 to 3.000.000/month with the percentage of 70 %, while the number of respondents with the smallest income was less than 1.000.000/month with the percentage of 16.67 %. The difference of income held by the respondents in the Village of Sea I, would have an impact on the amount of meat purchases each month. This was in accordance with the opinion Sukirno (2002) stating that most of the disposable income is used to buy food and clothing. Most of the meat consumed by people in the Village of Sea I was pork and chicken meat compared to beef, it was because the price of beef was relatively expensive compared to the price of pork and chicken meat. Based on research results, pork was the most meat consumed by family respondents about 21 families with the percentage of 70 % of respondents, followed by chicken meat about 18 families with the percentage of 60 % of respondents, and beef by 8 families with the percentage of 26 respondents, 67 % of domestic poultry and meat about 6 families with the percentage of 20 % of respondents. Based on the results of research, it can be concluded that household income significantly affect the consumption of meat in the Village of Sea I, Pineleng district and the average consumption of meat in the Village of Sea I, Pineleng district was about 8,9  kg/capita/year, below the national target of 10,3  kg/capita/year.   Key Words : Household income, meat consumption, Sea I Village.

scholarly journals Penerapan Model Multivariat Analisis of Variance dalam Mengukur Persepsi Destinasi Wisata

2012 ◽  
Vol 3 (1) ◽  
pp. 461
Author(s):  
Robert Tang Herman
Keyword(s):  
Classification System ◽  
Business Performance ◽  
Secondary Data ◽  
Primary Data ◽  
Survey Method ◽  
Market Growth ◽  
Potential Market ◽  
Mapping System ◽  
Market Responsiveness ◽  
Market Needs

The purpose of this research is to provide conceptual and infrastructure tools for Dinas Pariwisata DKI Jakarta to improve their capabilities for evaluating business performance based on market responsiveness. Capturing market responsiveness is the initial research to make industry mapping. Research steps started with secondary research to build data classification system. The second is primary research by collecting the data from market research. Data sources for secondary data were collected from Dinas Pariwisata DKI, while the primary data were collected from survey method using quetionaires addressed to the whole market. Then, analyze the data colleted with multivariate analysis of variance to develop the mapping. The result of cluster analysis distinguishes the potential market based on their responses to the industry classification, make the classification system, find the gaps and how important are they, and the another issue related to the role of the mapping system. So, this mapping system will help Dinas Pariwisata DKI to improve capabilities and the business performance based on the market responsiveness and, which is the potential market for each specific classification, know what their needs, wants and demand from that classification. This research contribution can be used to give the recommendation to Dinas Pariwisata DKI to deliver what market needs and wants to all the tourism place based on this classification resulting, to develop the market growth estimation; and for the long term is to improve the economic and market growth.

scholarly journals Eel (Anguilla spp.) fishing activity in Poso Area Central Sulawesi, Indonesia

2021 ◽  
Vol 869 (1) ◽  
pp. 012022
Author(s):  
L Lukman ◽  
T Triyanto ◽  
G S Haryani ◽  
O Samir ◽  
L Gogali ◽  
...  
Keyword(s):  
Secondary Data ◽  
Downstream Migration ◽  
Primary Data ◽  
Shallow Waters ◽  
Fishing Gear ◽  
Fishing Activity ◽  
Central Sulawesi

Abstract Poso in Sulawesi, primarily the Lake Poso and Poso River, is known as eel (Anguilla spp.) fishing areas. Therefore, research of eel fishing is required as base information for evaluating and determining policies for its activities. The eel fishing research in the Poso area was conducted through primary data observations, secondary data traces, and interviews from April to June 2021. The fishing activities take place in the Lake Poso and Poso River shore and the rivers of the lake inlets. The fishing gear that contributed greatly to the catch was fence traps and spears. The local community’s fence trap called waya is a unique gear only found in this area, and it is installed in Poso River around the lake outlets. The gears block the rivers to catch downstream migration eels. The spear is fishing gear (including for eels) operated at night in shallow waters, especially in the outlets of Lake Poso. The eel production recorded from the Poso areas for the last four years has been 6.7–15.5 tons per year, and the highest production was in Pamona Puselemba.

scholarly journals PROSPEK PENGEMBANGAN PALA RAKYAT DI PROVINSI LAMPUNG

2019 ◽  
Vol 7 (1) ◽  
pp. 14
Author(s):  
Fitri Yuni Lestari ◽  
Raden Hanung Ismono ◽  
Fembriarti Erry Prasmatiwi
Keyword(s):  
Arima Model ◽  
Secondary Data ◽  
Simple Random Sampling ◽  
Development Prospect ◽  
Primary Data ◽  
Survey Method ◽  
The Past ◽  
Interview Technique ◽  
Financial Feasibility ◽  
Good Potential

The research aimed to analyze financial feasibility and development prospect of nutmeg farming in Lampung Province.  This research was conducted in Gisting Subdistrict of Tanggamus Regency in which data was collected in September 2017 until October 2017 by survey method.  This research used primary and secondary data.  Primary data was used to answer financial feasibility analyze purpose and obtained by interview technique using questionnaires.  Secondary data in the past seven to night years was used to answer the purpose of prospect development of nutmeg farming.  The samples size of this research was 30 nutmeg farmers using simple random sampling.  The data was analyzed by financial feasibility and time series linier with ARIMA model.  The results of the study showed that the nutmeg farming was feasible, and development prospect of nutmeg farming based on production and nutmeg seeds export had a good potential for the future. Key words: ARIMA, development, financial, nutmeg, prospect

scholarly journals The Strategy Of The Homeless Survival In Surakarta

2004 ◽  
Vol 16 (1) ◽  
Author(s):  
Retno Woro Kaeksi ◽  
Umrotun Umrotun ◽  
Susanto Susanto ◽  
Triana Nur Handayani ◽  
Satriyo Nugroho
Keyword(s):  
Elementary School ◽  
Secondary School ◽  
Secondary Data ◽  
Economic Factor ◽  
Primary Data ◽  
Survey Method ◽  
Lower Secondary School ◽  
Primary Activity

The research is carried out in Surakarta. The goal of the study is to know: the characteristic of the homeless, the factors that cause them to he the homeless and the strategis of the homeless to survive in Surakarta. The research uses survey method, while its area is chosen purposively. The research also uses primary and secondary data. The primary data is obtained by interviewing the respondents with questionnaire, while secondary data is based on the information got from the relevant institution.The resjoondents are taken 10 % randomly from all the population. The results of the rsearch show that the homeless are 11-8 years old (96.66%), most of them are boys (91.11%). The majority of the respondents did graduate from the Lower Secondary School (55.56%); most of them come from outside of Surakarta (62%). Their primary activity is as singing beggars (62,22 %) and their daily income is about RP 10. 000 RP 14. 000 (60.00%). Their parents are uneducated people. They are only graduated from Elementary School (7S.56%).The factors that cause them to he homeless are the economic factor 77.78%, lack of family attention (13.33%) and the willingness to he independent (80.89%). Based on the  result this research, we know that the poverty has made the children become homeless. The strategis to survive are: they are thrif (40%), add their time to work (13.13%), move to other place (11.11%) and save their money (15.56%).

scholarly journals KELAYAKAN FINANSIAL USATANI KEDELAI

2019 ◽  
Vol 5 (2) ◽  
pp. 293
Author(s):  
Dedi Djuliansah ◽  
Trisna Insan Noor ◽  
Yosini Deliana ◽  
Meddy Rachmadi
Keyword(s):  
Secondary Data ◽  
Paddy Fields ◽  
Primary Data ◽  
Survey Method ◽  
Production Volume ◽  
Land Area ◽  
C Value ◽  
Break Even Point ◽  
The Cost ◽  
Planting Season

This study aims to identify the cost, revenue, and income of soybean farming, identify the feasibility of soybean farming, identify the breakeven point and change the break-even point due to changes in selling prices in Jatiwaras District, Tasikmalaya Regency. The method used in this study is a survey method, while the data used consists of primary data and secondary data. Determination of sample farmers using the Two Stage Cluster Random Sampling method, with a sample size of 65 people with a proportion of 27 farmers in paddy fields and 38 farmers in land, from a population of soybean farmers as many as 185 people.            The results of this study indicate that the cost of soybean farming per hectare in paddy fields is Rp. 5,896,896.90 with receipts of Rp 8,478,139.53 and income of Rp. 2,581,242.63, while the cost of soybean farming per hectare on land is Rp. 4,163,487.48 with receipts of 8,342,774.57 and income of Rp. 4,179,287.09. Soybean farming in land is more feasible to be cultivated with an R / C value of 2.01 while the R / C value in paddy fields is 1.45. Minimum acceptance received by farmers from soybean farming so as not to lose in one planting season of Rp. 63,911.14 in paddy fields and Rp. 668,378.02 in land, the minimum production volume received by farmers from soybean farming so as not to lose in one planting season is 10.65 Kg in paddy fields and 111.40 Kg in land and minimum land area that must be processed by farmers so that no loss in one planting season of 0.01 ha in paddy fields and 0.08 ha on land. Decrease in output price of Rp. 1,000.00 (16.67%) causes the minimum acceptance received by farmers from soybean farming so as not to lose in one planting season of Rp. 100,196.38 in paddy fields and Rp. 767,384.61 on land. The margin value of safety on soybean farming is 90.53 in wetland and 82.40 in land area

Sign in / Sign up

Export Citation Format

Share Document