Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis
(1) The Macro approach of agricultural socio-economic as a system which comprehensive and integrated from subsystems up-stream, subsystems on-farm, subsystems down-stream, subsystems support and the impact of their interrelationships with government policy, international economics, agricultural marketing, natural resources, agricultural extension and communication, agricultural sociology, farmer institutions, and community empowerment; (2) The Micro approach includes the study in the development of agribusiness (finance, farm management, functional and technical aspects) and agricultural local institutional.
Articles
10 Documents
Search results for
, issue
"JURNAL AGRISEP VOL 17 No 1 2018"
:
10 Documents
clear
<![CDATA[ANALISIS RISIKO USAHATANI KOPI SPECIALTY JAVA PREANGER ]]>
<![CDATA[Nur Sari]]>;
<![CDATA[Pandi Pardian]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (529.968 KB)
|
DOI: 10.31186/jagrisep.17.1.79-94
<![CDATA[Maju Mekar as a farmers group has productivity. it was only reach 0,01 ton/ha, which indicate risks. The objectives of this research were to identify the causes of risk and how much the risk of coffee farming affect Maju Mekar farmer group. The research used descriptive qualitative and case study research method. Risk causes identification in Maju Mekar farmer group used fish bone diagram by detailing what causes the failure. Risk analysis using FMEA (Failure Mode and Effect Analysis) method to obtain a risk based on the highest value of the RPN (Risk Priority Number) and RSV (Risk Score Value) which has to betaken care of immediately. The research result was 12 priority handling risk of coffee farming in Maju Mekar farmer group. Maju Mekar farmer group has been preveting 4 priority risk sources. An alternative strategy that can be done for the 6 priority risks are to by recording the production and cash flow, raw materials (cherries) received, using a pre order payment system for a limited source of capital risk, cultivation of horticultural crops for lack of persistence of farmers, fertilizers not in accordance with SOP, cooperating with other farmer groups to increase production, cultivation of coffee crops according to SOP for less altitude.]]>
<![CDATA[PROSPEK PENERAPAN SISTEM CORPORATE FARMING ]]>
<![CDATA[Iqbal Musthofa Dalimunthe]]>;
<![CDATA[Ganjar Kurnia]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (323.733 KB)
|
DOI: 10.31186/jagrisep.17.1.11-22
<![CDATA[Corporate farming is a farmland merger activity that is organized together by farmers in an integrated single management. This system could be a solution for many problems facedby farmerstoday, such asbusiness efficiency, quality standardization, and effectivenessas well as input use efficiency.Gerbang Emas Agricultural Cooperative is a farmer’s business organization focusing on the production and marketing of horticultural crops. The cooperative has implemented the collective marketing since 2014, but the production is carried out individually by the farmers. Low level of productivity is the problem the cooperative faced. The farming activities that are currently done by the farmers would be more efficient if managed by implementing the corporate farming system. The purpose of this study is to analyze the prospect for the implementation of corporate farming system and also to determine the factors affecting the likelihood of success or failure in the system implementation at Gerbang Emas Agricultural Cooperative. The research method used is the descriptive method, analyzing the prospect from three perspectives (economic, institutional, and social). The result shows that the corporate farming system has a good prospect to be implemented on the cooperative, viewed from all perspectives. In addition, this study also obtained several factors that affect the likelihood of success or failure in the implementation of the system on the cooperative namely: 1)Integration of corporate farming development with local economic development,2)Availability of capable institutions (government / non-government) of functioning as a facilitator, 3)Emotional and cultural ties between the farmer and his land, 4)Differenceperceptions among farmers, 5)Deferentin the development of agribusiness system.]]>
<![CDATA[ANALISIS KELAYAKAN FINANSIAL JAMBU BIJI (Psidium guajava L.) VARIETAS KRISTAL ]]>
<![CDATA[Carmelita Astrini]]>;
<![CDATA[Endah Djuwendah]]>;
<![CDATA[Tuti Karyani]]>;
<![CDATA[Sulistyodewi Nur Wiyono]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (324.246 KB)
|
DOI: 10.31186/jagrisep.17.1.1-10
<![CDATA[Guava Crystal variety currently has the high opportunity and potential to be developed in Indonesia. Waaida Farm as a company engaged in crystal guava farming in Sumedang District can only meet 5,71% of its demand every year. Therefore, Waaida Farm needs to expand the cultivation area to optimize the crystal guava potential. The expansion is constrained by lack of capital. Crystal guava farming in Waaida Farm is not bankable yet eventhough the business has run for six years. The objective of this research is to analyze financial feasibility of crystal guava farming at Waaida Farm. The research was conducted using qualitative descriptive design and case study technique. The data collection methods usedwere observation, interview and study literature. From the financial aspect, crystal guava farming at Waaida Farm is feasible to be implemented, based on the investment criteria using interest rate of 18,75%. The NPV is Rp 5.982.165, IRR is over the established interest rate of 28,43%, Net B/C is 1,59, and payback period is 5 years, shorter than the project term analysis of 10 years. The sensitivity analysis showed that decreasing inproduction is more sensitive than increasing inproduction cost. Nevertheless, the 10 percentchange of every variable still make the crystal guava farming feasible.]]>
<![CDATA[GAYA HIDUP KAITANNYA DENGAN KEPUTUSAN KONSUMEN DALAM MEMBELI MINUMAN KOP ]]>
<![CDATA[Yanti Yulianti]]>;
<![CDATA[Yosini Deliana]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (317.018 KB)
|
DOI: 10.31186/jagrisep.17.1.39-50
<![CDATA[This study aims to determine lifestyle ofNoah's Barn’s consumer, the process of consumer purchase decision, and to find out how much influence of lifestyle on consumer decisions in Noah's Barn. The type of study used in this study is quantitative by survey method. The population used in this study is all consumers who visited Noah's Barnand 100 respondents selected usingsystematic random sampling.The analysis technique used is simple linear regression. The results of the study showed that lifestyle variables have positive and significant influence on purchasing decisions in Noah's Barn’s consumer. Lifestyle variable is able to explain the variance of purchasing decision equal to 32,1% and the residue equal to 67,9% is influenced by other variables was not examined in this study.]]>
<![CDATA[DAMPAK KEBERADAAN INFRASTRUKTUR TERHADAP PENINGKATAN PRODUKSI DAN LUAS LAHAN SAWIT ]]>
<![CDATA[Andi Irawan]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (323.687 KB)
|
DOI: 10.31186/jagrisep.17.1.51-62
<![CDATA[ The purpose of this research was analyzing the impact of the existence of infrastructures such as construction, electrical, highway (state, province and regency city road ), Transport and Telecommunication sectors on the production and areal expansion of oil palm plantations in both South Sumatera and Bengkulu. This research was expected to be useful as a scientific empirical guidance for policymakers in determining the infrastructure priority scale which is built based on their contribution to increasing oil palm production and its area. The research empirically identified how the impact of the existence of infrastructure (construction, electricity, highways (state, province, and city districts road), transport and telecommunication on the oil palm’s production and erea, in both its magnitude and sign. In the regression equation which used in this study, production and land area are positioned as dependent variable whereas development variables of construction, electricity, highway (state road, province and regency/city road), transport and telecommunications are positioned as the independent variable. This research used time-series data from BPS publications with quarterly periods from 1996 to 2012. Referring to the parameter of the elasticity value of infrastructure to oil palm production which showed greater than 1, then it can be concluded that the priority infrastructure which built in Bengkulu is the construction and for South Sumatra should be built electricity infrastructure to boost the oil palm production increasing. Meanwhile, electricity infrastructure that should be built for boosting the expansion of oil palm in Bengkulu is Electricity. There was relatively no priority infrastructure in terms of spurring the expansion of palm oil.]]>
<![CDATA[SENSITIVITAS KELAYAKAN FINANSIAL PENGOLAHAN KOPI BUBUK ]]>
<![CDATA[Muhammad Mustopa Romdhon]]>;
<![CDATA[Apri Andani]]>;
<![CDATA[Adinda Merizka Ayu]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (165.92 KB)
|
DOI: 10.31186/jagrisep.17.1.31-38
<![CDATA[Kepahiang district is one of the Robusta’s coffee production centre in Bengkulu Province. With total area size of Robusta coffee about 454.073 hectares, the production was about 1, 2 million ton in a year. The production is available for more than 30 local coffee processor at Kabupaten Kepahiang. A great contribution to an economy, robusta coffee processors were providing jobs, market guarantees and added value. Today, the ninety percent of production was delivered to outside processors while only ten percent was for local processors. The business, its self-facing fluctuation of output and input prices, highest risk, interest rate, and etc. How was the sensitivity level of the financial feasibility of coffee processor at Kepahiang district? Financial feasibility sensitivity level was assessed by the three changing indicators namely input availability, interest rate and input cost. The results show that business of coffee processor at Kepahiang district is still profitable and feasible under the three changing indicators.]]>
<![CDATA[PENDAPATAN BERDASARKAN STATUS PENGUASAAN LAHAN USAHATANI TEMBAKAU DAN PEMASARANNYA ]]>
<![CDATA[Arta Santrina Manalu]]>;
<![CDATA[Bambang Sumantri]]>;
<![CDATA[Basuki Sigit Priyono]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (924.497 KB)
|
DOI: 10.31186/jagrisep.17.1.63-78
<![CDATA[This study aimed to know the income to the tobocco farming and marketing channels, distribution and to determine the marketing marjin in Doloksaribu village Pagaran districts North Tapanuli district. This study uses descriptive and do purposive method location. Determination of farmer respondents is done by Stratified Random Sampling technique as much as 50 farmers, while to know the marketing channels used snowball sampling method. Types of data collected included primary data and secondary data. This study uses data were analyzed the farm income of tobacco farmers, analyze marketing channels and marketing margins.The results showed the average income of cash tenant farmers in the Doloksaribu village of Pagaran District is Rp.23.994.011,58 per hectare in one growing season is greater than the share tenant farmers on average earnings of Rp.21.051.624,77per hectare per cropping season and owner operatorRp.17.708.316,37per hectare per cropping season. The main marketing channel in the study area is from tobacco farmers (producers) to the consumer (the tobacco company). Tobacco marketing margin in the village Doloksaribu is very low (0) in the absence of marketing institutions that play a role in these activities so that the channel marketing is also short]]>
<![CDATA[ANALISIS KELAYAKAN FINANSIAL PEMBIBITAN SAPI PERANAKAN ONGOLE POLA GADUHAN ]]>
<![CDATA[Ridha Rizki Novanda]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (374.526 KB)
|
DOI: 10.31186/jagrisep.17.1.107-118
<![CDATA[Gaduhan is one of agribusiness pattern committed by farmers for assistance in his business capital. Andini Muyo livestock group has received government assistance in the form of funds to implement PSBP and PPBB. Cattle breeders were given to members’ group by profit-sharing system. This research was aimed at analysing the financial feasibility of cattle breeder bussiness on “penggaduh” system after receiving two types of PSBP assistances and its sensitivity. Data dari fourty seven respondents censused were analysed descriptive and quantitively using NPV, IRR, PP, Net B/C, and Gross B/C indicators. The results showed that the gaduhan system was unfeasible financially. ]]>
<![CDATA[FAKTOR-FAKTOR YANG MEMPENGARUHI PENGAMBILAN KEPUTUSAN PETANI SALAK DALAM MEMILIH SALURAN PEMASARAN ]]>
<![CDATA[Juraidah Harahap]]>;
<![CDATA[Sriyoto Sriyoto]]>;
<![CDATA[Ellys Yuliarti]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (197.752 KB)
|
DOI: 10.31186/jagrisep.17.1.95-106
<![CDATA[The purpose of this study was to determine the pattern of the decision of farmers about salak in choosing the marketing channel and what factors influence what is done by salak farmers in choosing the marketing channel in Parsalakan village, West Angkola District, South Tapanuli District. North Sumatra. Based on the results of research, decision-making pattern of salak farmers in choosing marketing channel is dominated by husband and wife team roles are equal. While the results of statistical analysis of farming experience provide a significant effect on the decision of farmers. While age, cash requirement, length of formal education, distance, the number of dependents of the family and the area of land partially do not give a significant effect on the decision of farmers in choosing marketing channels.]]>
<![CDATA[PENDUGAAN MODEL PERAMALAN HARGA BERAS PADA TINGKAT GROSIR ]]>
<![CDATA[Ketut Sukiyono]]>;
<![CDATA[Rosdiana Rosdiana]]>
<![CDATA[ Jurnal AGRISEP JURNAL AGRISEP VOL 17 No 1 2018 ]]>
Publisher : <![CDATA[Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (382.061 KB)
|
DOI: 10.31186/jagrisep.17.1.23-30
<![CDATA[This research is aimed at examining the best forecasting model for riceprice at wholesaler price. Monthly data of ricefrom 2010:1 –2017:12 are used for this research and three trend model, i.e.,MA, Decomposition and Single Exponential Smoothing are applied in which the selection of the best model is based on the lowest value of MAPE, MAD, and MSE or MSD. This research finds that the best forecasting model is MA(2).]]>
