The Use of Geographic Information Systems to Support Corn Supply Chains (Case Study: Tuban District)

Bangun Muljo Sukojo*, Shinta Angelina, Lena Sumargana

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350344004
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023 - Hybrid, Bali, Indonesia
Duration: 26 Oct 202327 Oct 2023

Publication series

Name2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023

Conference

Conference2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023
Country/TerritoryIndonesia
CityHybrid, Bali
Period26/10/2327/10/23

Keywords

  • Corn Phase
  • Landsat-8
  • NDVI
  • Network Analyst

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