TY - GEN
T1 - The Use of Geographic Information Systems to Support Corn Supply Chains (Case Study: Tuban District)
AU - Sukojo, Bangun Muljo
AU - Angelina, Shinta
AU - Sumargana, Lena
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Corn is a food crop commodity that has become a national economic sector; one of the largest corn producers is Tuban Regency. The growth phase of corn is divided into three phases: germination phase, vegetative phase, and generative phase. Parts of corn can be utilized in the vegetative phase and generative phase with utilization values such as young stems and leaves for animal feed, old leaf stems for green fertilizer or compost, and so on. Accordingly, a supply chain concept through the best route is needed to determine the distribution channel of corn so as to obtain distribution efficiency. This research identifies the growth phase of corn using the NDVI vegetation index as producer data. The sub-district chosen as the spatial data producer is the Palang sub-district. After obtaining the growth phase of corn, the data was overlayed with end consumer data consisting of cattle farms, markets/supermarkets, and chicken farms and analyzed through network analyst tools. The results showed that the growth phase of corn in Palang Subdistrict in May 2022 was mainly late generative, June 2022 was mostly germination or early vegetative, July 2022 mainly was late vegetative, August 2022 was primarily early generative, September 2022 mainly was early generative and late vegetative. Based on the corn growth phase data, a route analysis was conducted. For the late vegetative phase, the best route is UD. Shiranda Farm, with 14.41 km. In the early generative phase, for the best route, Karangagung Market, 5.49 km located in Palang Sub-district. In the final generative phase for the shortest distance with broiler farm 1 located in Gesing Village, Semanding District with 5.51 km.
AB - Corn is a food crop commodity that has become a national economic sector; one of the largest corn producers is Tuban Regency. The growth phase of corn is divided into three phases: germination phase, vegetative phase, and generative phase. Parts of corn can be utilized in the vegetative phase and generative phase with utilization values such as young stems and leaves for animal feed, old leaf stems for green fertilizer or compost, and so on. Accordingly, a supply chain concept through the best route is needed to determine the distribution channel of corn so as to obtain distribution efficiency. This research identifies the growth phase of corn using the NDVI vegetation index as producer data. The sub-district chosen as the spatial data producer is the Palang sub-district. After obtaining the growth phase of corn, the data was overlayed with end consumer data consisting of cattle farms, markets/supermarkets, and chicken farms and analyzed through network analyst tools. The results showed that the growth phase of corn in Palang Subdistrict in May 2022 was mainly late generative, June 2022 was mostly germination or early vegetative, July 2022 mainly was late vegetative, August 2022 was primarily early generative, September 2022 mainly was early generative and late vegetative. Based on the corn growth phase data, a route analysis was conducted. For the late vegetative phase, the best route is UD. Shiranda Farm, with 14.41 km. In the early generative phase, for the best route, Karangagung Market, 5.49 km located in Palang Sub-district. In the final generative phase for the shortest distance with broiler farm 1 located in Gesing Village, Semanding District with 5.51 km.
KW - Corn Phase
KW - Landsat-8
KW - NDVI
KW - Network Analyst
UR - http://www.scopus.com/inward/record.url?scp=85180543413&partnerID=8YFLogxK
U2 - 10.1109/ICARES60489.2023.10329803
DO - 10.1109/ICARES60489.2023.10329803
M3 - Conference contribution
AN - SCOPUS:85180543413
T3 - 2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023
BT - 2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023
Y2 - 26 October 2023 through 27 October 2023
ER -