INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND APPLIED MATHEMATICS. VOL. NO. FEBRUARY 2023 Economic Analysis of Corn Plantation Factors Using Geographic Information System Through Location Quotient and Shift Share Method in East Java Province Koni Dwi Prasetya and Wahyu Fistia Doctorina AbstractAiAgriculture is the largest sector in almost every developing country economy, such as a corn plantation. This sector provides food for the majority of its population, provides employment for almost all of the existing workforce, produces raw materials, or aids for the industry and becomes the largest source of foreign exchange earnings comparison between cities and another. So that agriculture is needed in a region one of them is East Java Province. In the development of the Area, especially in fulfilling the food needs through agriculture and plantation, it needs analysis based on region and its production. One method through Location Quotient (LQ) analysis through this method can be known base sector in a region compared to other regions. After that to know the growth of agricultural production of a sector used Shift Share analysis method. The data used are by BPS on agriculture and plantation category in East Java in 2012 Index TermsAiAgriculture. Gross Regional Domestic Product. Shift Share. Geographic Information System. Location Quotient Analysis. I NTRODUCTION GRICULTURE is the largest sector in almost every developing country economy especially Corn. Corn is one of the most widely-planted crops in the world. It is grown in more than 170 regions globally . This sector provides food for most of its population, provides employment for almost all of the existing workforce, produces raw materials, raw materials or aids for the industry and becomes the largest source of foreign exchange earnings . In the development of the Area, especially in fulfilling the food needs through agriculture and plantation, it needs analysis based on region and its production with Location Quotient analysis (LQ). The location quotient, a ratio of ratios, is a widely used geographic index. It is used to measure and map relative distributions or relative concentrations of a subarea to the area as a whole . After that to know the growth of agricultural production of a sector used Shift Share analysis method. After having the data then required analysis and presentation of information spatially using Geographic Prasetya is an International PhD Program in Environmental Science and Technology (UST). Center for Space and Remote Sensing Research. National Central University, 300. Jhongda Rd. Jhongli. Taoyuan 32001. Taiwan e-mail: konilead@gmail. Doctorina is with the Department of Mathematics. Institut Teknologi Sepuluh Nopember. Kampus ITS Sukolilo-Surabaya 60111. Indonesia e-mail: wahyufd2020@gmail. Manuscript received January 20, 2023. accepted February 8, 2023. Information System (GIS) that serves to collect, store, recall, change and display spatial data from the real world for a particular purpose. Based on this background, this thesis will analyze the corn plantation factors using Location Quotient and Shift Share in East Java Province spatially through GIS. II. L ITERATURE Location Quotient analysis is used to determine the leading subsector or economic base of a regional economy (Billings. Well-developed superior subsectors certainly have a significant influence on regional economic growth that ultimately can increase the regional income optimally (Kuncoro, 2. LQij = Xij /Xi. j /X. LQ is Index Location Quotient agricultural commodity i at city level in East Java Province. Xij is Production of agricultural commodity in city j in East Java Province. is Agricultural and Plantation Products in city j in East Java Province. j is Value of agricultural commodity production i East Java Province. is Production of all Agriculture and Plantation in East Java Province. Shift Share Analysis is an analysis that aims to determine the performance or productivity of regional economic work by comparing it with larger regions . egional or nationa. first created by Daniel Creamer. (Lahr, 2. Y i YO y i Y Ai SS = Oe1 Y O is Economic indicators of the year end of the study. is Reference economic indicator at the beginning of the year. Y A i is Economic indicators of the sector i at the end of the Y i is Economic indicators of the first sector of the year i survey. y A i is the Local . economic indicator sector i at the end of the year. yi is the Regional economic indicator . sector i beginning of year of study. Agricultural Commodity Basis The analysis used in prioritizing the development of agricultural commodity base in East Java Province is a combined analysis of Location Quotient and Shift Share (Growth of Regency Economic. with the following criteria: With the total price of coconut Rp 478,680 / qw can be seen the total production of district/town generated in 2016 INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND APPLIED MATHEMATICS. VOL. NO. FEBRUARY 2023 TABLE I P RIORITY D ETERMINATION M ETHOD Criteria LQ > 1 LQ < 1 SS > 1 SS < 1 Superior Prospective Mainstay Preserved TABLE II T OTAL R ESULT OF C ORN P LANTATION P RODUCTION IN B ILLION Number District Pacitan Ponorogo Trenggalek Tulungagung Blitar Kediri Malang Lumajang Jember Banyuwangi Bondowoso Situbondo Probolinggo Pasuruan Sidoarjo Mojokerto Jombang Nganjuk Madiun Magetan Ngawi Bojonegoro Tuban Lamongan Gresik Bangkalan Sampang Pamekasan Sumenep Surabaya Batu East Java through corn production amounting to Rp26,770,517,696. with the largest production amount is Tuban Regency with total Rp2,245,059,960. With a total price of Rp 4,264/kg of Corn produced in 2014 through corn production amounting to Rp24,464,196,848,000. with the largest production amount is Tuban Regency with a total of Rp 2,050,225,008,000. Through the analysis of 2012 to 2016 growth in agricultural commodities from each city / district for the corn plantation sub-sector in East Java province are as follows: . Corn plantation sub-sector in East Java province that experienced constant growth from 2011 until 2016 amounting to eten districts / cities . Corn plantation sector in East Java province that expe- Fig. Location Quotient Corn Plantation in East Java. rienced growth from 2011 to 2014 but decreased when 2014 to 2016 a number of four regencies / cities . Corn plantation sub-sector in East Java province which decreased from 2011 until 2014 but increased when 2014 to 2016 a number of 11 regencies / cities . In contrast. Corn plantation sub-sector in East Java Province has 6 districts / cities decreasing from 2011 . Banyuwangi experienced the highest growth in the corn plantation sub sector with a total of Rp327,807,792,000. from Rp584,300,184,000. - up to Rp912,107,976,000. While Batu Regency experienced a significant decrease in the corn plantation sub-sector with a number of Rp1,974,232,000. - from Rp6,050,616. - to Rp4,076,384,000. Total growth of con sub sector in East Java province in 2014 to 2016 is Rp2,306,448,768,000. Location Quotient Coconut Plantations in East Java Analysis of Corn Location Quotient in East Java can be seen in the following analysis can be seen on Fig. 1 on the below. Through the analysis based on location quotient method of 2011 to 2016 on agricultural commodities each city / district for the coconut sub sector in East Java province are as follows: The corn sub-sector in East Java province consistently becomes the base sector (LQ > . are 10 districts / . Corn sub-sector in East Java province consistent to nonbase sector (LQ < . are four districts / cities. Analysis Shift Share Corn Plantations in East Java Through analysis based on the Shift Share method . an be seen on Fig. on agricultural commodities each city / district for the coconut sub sector in East Java province are as follows: The corn plantation sub-sector in East Java province has a national growth coefficient (KPN) of 0. The corn plantation sub-sector in East Java province has a Propositional Growth Coefficient (KPP) of 0. The corn plantation sub-sector in East Java province with regency / city economic growth (P EK > . of 25 districts / cities. INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND APPLIED MATHEMATICS. VOL. NO. FEBRUARY 2023 TABLE i C LASSIFICATION OF C ORN P LANTATIONS IN E AST JAVA Corn Plantation Criteria Fig. Analysis of Shift Share Corn Plantation in East Java. SS > 1 Fig. Classification of Corn Plantations in East Java. Corn plantation sub-sector in East Java province experiencing degradation of regency / city economy (P EK < . of 6 regencies / cities. The corn plantation sub-sector in East Java province has the highest economic growth is Sidoarjo of 2. Classification of Corn Plantations in East Java Through analysis based on location quotient and Shift Share can be seen on Fig. 3 on the below. On agricultural commodities each city / district for coconut sub sector in East Java province are as follows: The corn plantation sub-sector in East Java province that includes the leading sector of ten districts / cities. Corn plantation sub-sector in East Java province including prospective sector of zero regencies / cities. Corn plantation sub-sector in East Java province which includes mainstay sector of 17 regencies / cities. Corn plantation sub-sector in East Java province which includes lagging sector of six districts / cities. C ONCLUSIONS Total growth of corn plantation sub sector in East Java province in 2014 to 2016 is Rp2,306,448,768,000. The corn plantation sub-sector in East Java province which includes the leading sector of ten districts / cities. There is no prospective sector of Corn plantation subsector in East Java province including . Corn plantation sub-sector in East Java province which includes mainstay sector of 17 regencies / cities. Corn sub-sector in East Java province which includes lagging sector of six districts / cities. SS < 1 LQ > 1 LQ < 1 *Leading Pamekasan Tulungagung Blitar Kediri Malang Sumenep Jember Situbondo Probolinggo Jombang *Mainstay Pacitan Ponorogo Trenggalek Banyuwangi Pasuruan Gresik Pamekasan Sidoarjo Mojokerto Madiun Magetan Bangkalan Ngawi Sumenep Bojonegoro Tuban Lamongan *Prospective *Preserved Lumajang Bondowoso Nganjuk Sampang Surabaya Batu R EFERENCES Wang and X. Hu. AuResearch on corn production efficiency and influencing factors of typical farms: Based on data from 12 corn-producing countries from 2012 to 2019,Ay Plos one, vol. 16, no. 7, p. Amang. 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