The potential of the agricultural sector in Cirebon Regency, Indonesia: Application of LQ, DLQ, and Klassen Typology Methods for the 2020–2024 Period

This study aims to analyze the role and development of the agricultural sector in Cirebon Regency for the 2020–2024 period using the Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology methods. The data used are the sectoral GRDP of Cirebon Regency (2020–2024) from BPS, as well as comparative data on the GRDP of West Java Province. The LQ method is used to identify the basic (leading) sector by comparing the contribution of the agricultural sector to local and provincial GRDP. The DLQ method takes into account the growth rate of each sector compared to the province. The Klassen Typology groups sectors based on their growth rate and GRDP contribution relative to the provincial average. The results show that the agricultural sector in Cirebon is a basic sector (LQ=1.77) but its growth is slower than the average (DLQ<1), so based on the LQ-DLQ analysis it is classified as basic but not prospective (Quadrant III). However, in the Klassen Typology, the agricultural sector falls into Quadrant I (developed and growing rapidly) because the sector's growth (5.9%) exceeds the provincial rate (5.56%), and its contribution (15.28%) exceeds the provincial rate (8.64%). This finding indicates that despite agriculture's substantial contribution and potential (Quadrant I), its economic growth is relatively weak. Therefore, policies are needed to strengthen the agricultural sector in Cirebon so that it can play a more optimal role in regional development.

Keywords: Location Quotient (LQ); Dynamic Location Quotient (DLQ); Klassen Typology; Cirebon Regency; Contribution of the Agricultural SectorThis study aims to analyze the role and development of the agricultural sector in Cirebon Regency for the 2020–2024 period using the Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology methods. The data used are the sectoral GRDP of Cirebon Regency (2020–2024) from BPS, as well as comparative data on the GRDP of West Java Province. The LQ method is used to identify the basic (leading) sector by comparing the contribution of the agricultural sector to local and provincial GRDP. The DLQ method takes into account the growth rate of each sector compared to the province. The Klassen Typology groups sectors based on their growth rate and GRDP contribution relative to the provincial average. The results show that the agricultural sector in Cirebon is a basic sector (LQ=1.77) but its growth is slower than the average (DLQ<1), so based on the LQ-DLQ analysis it is classified as basic but not prospective (Quadrant III). However, in the Klassen Typology, the agricultural sector falls into Quadrant I (developed and growing rapidly) because the sector's growth (5.9%) exceeds the provincial rate (5.56%), and its contribution (15.28%) exceeds the provincial rate (8.64%). This finding indicates that despite agriculture's substantial contribution and potential (Quadrant I), its economic growth is relatively weak. Therefore, policies are needed to strengthen the agricultural sector in Cirebon so that it can play a more optimal role in regional development.