Factors Affecting Rice Production and Land Usages in Banten Province, Indonesia

Authors

  • Viktor - Siagian Researcher of Assessment Institute for Agricultural Technology of Banten, Indonesia Ministry of Agriculture.

DOI:

https://doi.org/10.14738/assrj.77.8711

Keywords:

Factors production,  efficiency, priority analysis, rice, land usage.

Abstract

Banten Province has a harvested area of paddy fields on the 2017 year of 415,687 ha and production of 2,369,731 tons of unhusked rice. The objectives of this study are: 1) Knowing the priority of resources and agricultural inputs use for  food production, 2) Knowing the factors that influence the productivity of rice in  irrigated land in Banten Province, 3) Knowing the efficiency of the use of production inputs. The sampling method used purposive sampling with 90 respondents. The analytical method used the Analytical Hierarchy Process (AHP) and multiple linear regression of Cobb Douglas production functions. The results of the study are: 1) The priority strategy in increasing food production is to increase the use of irrigated rice fields, so that the goal is achieved by increasing the crop index, this can be done by prioritizing the optimization of agricultural machinery 2) Significant factors that affecting the production of paddy rice in the irrigated wetland paddy field in Rainy Season 2017/2018 are the use of urea fertilizer, the amount of use of solid organic fertilizer, the amount of use of human labor rent, and the arable land area, 3). The cumulative elasticity is  1.45, which is elastic, meaning that the addition of 1% of the production factor will increase production by 1.45% or increasing return to scale. So rice farming in irrigated land is relatively efficient. To increase production, it is necessary to increase rice productivity and  crop index  in irrigated paddy fields.

 

Keywords: Factors production,  efficiency, priority analysis, rice, land usage.

References

Akbar I, K. Budiraharjo. and Mukson. 2017. Analysis of Factors Affecting Rice Productivity in Kesesi
District, Pekalongan Regency. J. Soc. Econ. of Agric., 1(2): 99 -111.
Amanda R., Hadi S. and Yulida R. 2016. Efficiency of Rice Production in Kuala Kampar District, Pelalawan Regency. J. Sorot., 11(2): 111–126.
Asnawi R. 2013. Analysis of Factors Affecting Paddy and Hybrid Rice Production in Lampung Province.
J. SEPA., 10(1): 11-18.
Bachri S, Utaya S., Nurdiansyah P.D, Nurjanah A.E., Ningtyas L.W., Purnama D.S.and Adillah A.A.
2017. Analysis and Optimization of Potential Agricultural Land as a Study of the
Positive Impact of Kelud Volcano Eruption. 2014. Indonesia Geogr.Magazine.,31(2):33-43.
DOI: https://doi.org./10.22146./mgi.25493.
Calantone R.J., Di Benedetto J.A. and Schmidt J.B. 1999. Using the Analytical Hierarchy Process in
New Product Screening. J.Prod. Innov. Manag. 16: 65–76.
Constantin P.D., Martin D.L.,and Rivera E.B.B.R. 2009. Cobb Douglas, Translog Stochastic Frontier
Production Function and Data Envelopment Analysis in Total Factor Productivity in
Brazilian Agribusiness. The Flagship Research J. of Int. Conf. of the Prod. and Oper. Manag.
Society., 2(2): 20-34.
[CBS] Central Bureau of Statistics. 2018. Banten in Figure 2018. Serang (ID): Central Bureau of
Statistic.
[CBS] Central Bureau of Statistics. 2016. Banten in Figure 2016. Serang (ID): Central Bureau of
Statistic.
[CBS] Central Bureau of Statistics. 2015. Banten in Figure 2015. Serang (ID): Central Bureau of
Statistic.
[CBS] Central Bureau of Statistics. 2014. Banten in Figure 2014. Serang (ID): Central Bureau of
Statistic.
Falatehan A.F.and Othman J. 2017. Factors Affecting SRI Rice Production. J.Agribus. Manag., 5(2):
52–58.
Garcia J.L., Alvarado A., Blanco J., Jimenez E., Maldonado A.A.and Cortes G. 2014. Multi-attribute
Evaluation and Selection of Sites for Agricultural Product Warehouses Based on an Analytic
Hierarchy Process. J. Comp. and Electr. in Agric., 100:60-69.
Ho F.H., Rashid S.H.A. and Ghazilla R.A.R.. 2016. Analytic Hierarchy Process-Based Analysis to Determine the Barriers to Implementing a Material Efficiency Strategy: Electrical and
Electronics’ Companies in the Malaysian Context. J. Sustainability.8.1035.
DOI:10.3390/su8101035.
Krismawati N.E.S. 2014. Priority Analysis of Strategic Road Section Handling for Regional
Development in Demak Regency. J. Territory and Environ., 2(2):99–112.
Koutsoyiannis, A. 1978. Theory of Econ.. Great Britain (UK): Harper and Row Publishers, Inc.
Lubis J. 2018 Analysis Factors that Influence Paddy Production Improvement in the Langkat, District
North Sumatra. J. Ecob., 5: 42–49.
Messer KD, Allen II WL. 2010. Applying Optimization and the Analytic Hierarchy Process to Enhance
Agricultural Preservation Strategies in the State of Delaware. Agric. and Resour. Econ. Rev.,
39(3): 442–456.
Marimin. and Maghfiroh N. 2011. Aplikasi Teknik Pengambilan Keputusan dalam Manajemen
Rantai Pasok. Bogor (ID) : Penerbit IPB Press.
Mamondol M.R. and Tambe'o D.R. 2016. Efficiency of Rice Field Farming Input in Tendeadongi Village, North Pamona District. J. Environ., 1(1): 47-54.
Muhajirin, Y.Damayanti.and Elwamendri. 2014. Analysis of Factors that Affect of Wetland Rice
Production in Batang Asai Sub-district, Sarolangun District. J. Socio Econ. of Bus.,17(1): 82 –
91. ISSN:1412-8241.
Nwaobiola C.U.and Adesope OM. 2014. Economic Analysis of Smallholder Rice Production
System in Ebonyi State Southeast Nigeria. J. Agric. and Econ. Sci., 11(23):1–10.
Onibala A.G., Sondakh M.L., Kaunang R.and Mandei J. 2017. Analysis of Factors Affecting Rice Paddy
in Koya Village, South Tondano District. J. Agric-Soc.Econ.,13(2):237-242.
Pecchia L., Melillo P., Marzano A., Delfino R., Vanzanella C., Viggiani V.and Triassi M. 2013. Interactive Management Control via the Analytic Hierarchy Process (AHP). An
Empirical Study in Public University Hospital. 7th IFAC Conference on Manufacturing
Modelling, Management, and Control International Federation of Automatic Control. June 19-
21, 2013. Saint Petersburg, Russia.IFAC. 555-560.
Pertama Y.R., Nofialdi. and Hardiman. 2014. Application of AHP (Analytical Hierarchy Process)
Method in Analyzing Key Performance Indicators in Supply Chain of Oil Palm Fresh Fruit
Bunches of PT. XYZ. J. People's Agribus., 4 (1): 12-24.
Prabandari A.C., M. Sudarma. and P.U.Wijayanti. 2013. Analysis of Factors that Affect Wetland
Paddy Production in the Middle stream and Upstream of Ayung Watershed. E-J. of Agribus.
and Ecotour., 2(3): 89 –98.
Pudaka D.L., Rusdarti.and Prasetyo P.E. 2018. Efficiency Analysis of Rice Production and Farmers'
Income in Sengah Temila District Landak Regency. J. of Econ. Educ., 7(1):31–38.
Rahmawati A., Agustono. and Adi R.K. 2018. White Rice and Black Rice Organic Farming: Income
Approach, Cobb-Douglas Production Function and VPM. J. of Sustain. Agric., 33(1): 8-18.
Sembiring S.A. 2018. Analysis of Rice Policy Based on Presidential Instruction on Household Food
Security: Simultaneous Equation Model. International Conference on Agriculture,
Environment, and Food Security.IOP Conf. Series, Earth and Environmental Science. IOP
Publishing. Page: 1 – 6. DOI:10.1088/1755-1315/122/1/012010.
Schineiderjans M.J., Zorn T.S.and Johnson R.R. 1993. Allocating Total Wealth: A Goal Programming Approach. J. Comp. And Oper.Res., 20(7): 679–685.
Soekartawi. 2002. Basic Principle of Agriculture Economics: Application and Theory. Jakarta (ID):
Publisher PT. Radja Grafindo Persada.
Suhardi B. 2002. Application of Analytical Hierarchy Process and Goal Programming for Planning Economic Development. Performa., 1(1): 14 -19.
Saaty TL. 1983. Decision Making For Leaders: The Analytical Hierarchy Process for Decision in
Complex World. Pittsburgh (ID): RWS Publication.
Saaty TL. 1980. The Analytic Hierarchy Process Planning, Priority Setting, Resource Allocation.New York (ID): Mc Graw-Hill Book Company.
Schineiderjans M.J. and Wilson RL. 1991. Using the Analytical Hierarchy Process and Goal
Programming for Information System project Selection. J. Inf.and Manag., 20: 333–342.
Susanti A., Susatyo N. and Adyan. 2015. Optimization of Tourism Area Development in Semarang
Using the Analytical Hierarchy Process Method, Analysis SWOT, and Multi-Attribute Utility
Theory. J. Indus. Eng., 10(2): 7–84.
Triyanto J. 2006. Rice Production Analysis in Central Java (thesis). Semarang (ID):Diponegoro
University.
Zulkarnain I. 2004. Analysis of Production and Profits on Central Java Paddy Farming (thesis).
Semarang (ID): Diponegoro University.

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Published

2020-08-05

How to Cite

Siagian, V. .-. (2020). Factors Affecting Rice Production and Land Usages in Banten Province, Indonesia. Advances in Social Sciences Research Journal, 7(7), 708–722. https://doi.org/10.14738/assrj.77.8711