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AGRIMOR
Published by Universitas Timor
ISSN : 25021710     EISSN : -     DOI : -
Core Subject : Economy, Agriculture,
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance
AGRIMOR is a open access journal. All article published trough peer review process. It’s published four times a year, in January, April, July and October. Each time published at least five articles. International Standard Serial Number (ISSN) of AGRIMOR is 2502-1710.
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Articles 5 Documents
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Search results for , issue "Vol 4 No 3 (2019): AGRIMOR - July 2019" : 5 Documents clear
Tingkat Penerapan Teknologi Pertanian dan Strategi Pengembangan Budidaya Bawang Merah (Allium cepa. L) di Desa Tes Kecamatan Bikomi Utara Kabupaten Timor Tengah Utara Adrianus Seran; Werenfridus Taena
AGRIMOR Vol 4 No 3 (2019): AGRIMOR - July 2019
Publisher : Fakultas Pertanian, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.04 KB) | DOI: 10.32938/ag.v4i3.671

Abstract

This study aims to: (1) determine the level of application of shallot cultivation technology in the Tes Village of North Bikomi Subdistrict of North Central Timor Regency, (2) analyze internal and external factors and formulate a strategy for developing shallots farming in the Tes Village of North Bikomi Sub-District in North Central Timor Regency. This research was conducted in the Tes Village in September to October 2018. Data collection used the survey method. Determination of the sample was done by purposive sampling with the consideration of farmers who had cultivated shallots for 3 years in the Tes Village as many as 22 respondents. The analytical tool used in this study is Likert scale analysis and SWOT analysis. The results of the study suggest that the agricultural technology used includes equipment (tractors, cultivators, water motors), and management of onion farming. Likert scale analysis suggests that the percentage of technology use in shallot farming as recommended is 76.38% and 23.38% which is not recommended, so it is categorized as recommended. According to the SWOT analysis, onion farming is grouped in quadrant I, with alternative strategies including first a strategy to increase business capital supported by the government obtains a score (score 5.78), the second strategy for accumulating venture capital from farmers to anticipate increased seed prices (score 5.76). The three training and counseling strategies from field agriculture instructors to improve the quality of human resources farmers (score 3.48).
Analisis Pemasaran Pinang Mentah Di PT. Timor Mitra Niaga Desa Wederok Kecamatan Weliman Kabupaten Malaka Maria Sarice Nahak; Agustinus Nubatonis
AGRIMOR Vol 4 No 3 (2019): AGRIMOR - July 2019
Publisher : Fakultas Pertanian, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (304.516 KB) | DOI: 10.32938/ag.v4i3.677

Abstract

Marketing is one of the conditions for progressive agriculture development. weakness in the agricultural development system in developing countries including Indonesia is the lack of attention in the field of marketing. The objectives of this study are: 1) to find out the marketing of raw areca nut, 2) to determine the marketing functions, 3) to determine the margin of raw areca marketing in Timor Mitra Niaga Wederok Village, Weliman District, Malacca District. This research was conducted in April-May 2018 in Timor Mitra Niaga Wederok Village, Weliman District, Malacca District. Sampling using the Snowball Sampling method. The data used are primary data and secondary data. Data analysis methods are descriptive analysis and marketing margin analysis. The research results obtained that the marketing channel of raw areca nuts from producers directly to consumers and producers also market raw areca nuts through the retailer's sword. The marketing functions performed by retailers are the purchasing function, sales function, transportation function, storage function, standardization, and grading function, capital function, risk management function and market information function, while raw areca producers perform sales function, standardization and grading function, and risk management functions. Raw areca marketing margin of Rp 5,000 / kg or 50% of the price paid by consumers.
Faktor yang Mempengaruhi Usahatani Bawang Putih di Desa Saenam Kecamatan Miomaffo Barat Kabupaten Timor Tengah Utara (Studi Kasus Kelompok Tani Cahaya Baru) Stefanus C.M. Djoka; Simon Juan Kune
AGRIMOR Vol 4 No 3 (2019): AGRIMOR - July 2019
Publisher : Fakultas Pertanian, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.288 KB) | DOI: 10.32938/ag.v4i3.761

Abstract

This study aims to analize factor that affecting farming of garlic in Saenam Village on West Miomaffo District of North Central Timor. The sampling technique is done using a sampling census technique. This study was conducted in November 2017 until October 2018. The method used in the Cobb-Douglas analysis uses multiple linear regression. The results of the analysis showed the factors that affect garlic production significantly are the area of ​​land, the number of workers, experience in farming, and education. All of independent variable affect positively to farming of garlic. The other of independent variable don’t have affect significantly over to production farming of garlic.
Sikap Petani Terhadap Keberadaan Irigasi dalam Peningkatan Produktivitas Padi Sawah di Desa Tualene Kecamatan Biboki Utara Kabupaten Timor Tengah Utara Yohanes Lapy Taman; Umbu Joka
AGRIMOR Vol 4 No 3 (2019): AGRIMOR - July 2019
Publisher : Fakultas Pertanian, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.452 KB) | DOI: 10.32938/ag.v4i3.793

Abstract

This study aims to determine the attitudes of farmers towards the existence of irrigation in increasing the productivity of lowland rice in Tualene Village, North Biboki District, North Central Timor Regency. The method of collecting data sampling is done from the whole object under study and is considered to represent the entire population data collection methods using primary data and secondary data. Data analysis methods in the study include qualitative analysis, Likert scale. The results of the study concluded that 1.) The attitude of farmers to the existence of irrigation in the village of Tualene with a number of respondents 35 people with a percentage of 70 percent expressed strongly agree with the existence of irrigation because irrigation can help expedite, speed up the irrigation process. The existence of irrigation is very helpful in increasing productivity 2.) In conducting paddy farming the farmers have problems in the process of water distribution in irrigation so that it is sought for farmers to work together in water use so as to increase the productivity of wetland rice farming.
Analisis Respon dan Faktor-Faktor yang Mempengaruhi Permintaan Beras Indonesia Dudi Septiadi; Umbu Joka
AGRIMOR Vol 4 No 3 (2019): AGRIMOR - July 2019
Publisher : Fakultas Pertanian, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.553 KB) | DOI: 10.32938/ag.v4i3.843

Abstract

This study aims to 1) analyze the factors that influence the demand for Indonesian rice, and 2) analyzing the response to rice demand from the factors that influence it. The data in this study use time series data for the period 1988-2017. Data analysis using linear regression analysis method. The results showed that Indonesian rice demand was influenced by retail rice prices, per capita income, population, rice production and Indonesian rice demand lag at α level of 5 percent with an R-Squared value of 91.3 percent. Based on the analysis of responses, the population number variable is the only independent variable that has elastic elasticity (E> 1) both in the short and long term analysis. Variable retail rice prices, per capita income and rice production, have elasticity values ​​that are inelastic (E <1) in both the short and long term analysis.

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