Distribution System for Urban Agricultural Products Using Genetic Algorithms based on Android

  • Authors

    • Isbat Uzzin Nadhori
    • Ahmad Syauqi Ahsan
    • Ferry Astika Saputra
    • Tony Hendra Prasetya
    2018-12-16
    https://doi.org/10.14419/ijet.v7i4.40.24078
  • VRP, Distributin System, Urban Farming, Genetic Algorithm.
  • Abstract

    Urban agriculture is an agricultural activity (farming and cultivation) inside the city. Urban agriculture generally produces fruits and vegetables that have a short shelf life. Urban agricultural activities include production, distribution and marketing of agricultural products. Efficient distribution's routes are highly needed for better delivery of agricultural products to customers. Failure in route selection could increase shipping and operating costs, and also could reduce the product's quality. Itt is necessary to obtain the right route to distribute products that could reduce operational costs and maintain the quality of product until the destination. This research develops an application to determine the distribution route for urban agricultural products using genetic algorithms. This application can calculate the optimal distribution route so that in the process of distribution of urban agricultural products can be done accurately and efficiently. Route optimization with genetic algorithms successfully optimizes the best route, and can be seen from the fitness value that continues to increase each generation

     

  • References

    1. [1] Douglas Auld, L. N. Christofides, R. Swidinsky Christofides and D. A. Wilton Canadian Journal of Economics, 1979, vol. 12, issue 2, 195-213

      [2] Moolman dan Westhuizen. 2010. “Activity-Based Costing For Vehicle Routing Problemsâ€. South Africa : University of Pretoria.

      [3] Sivanandan, S.N. dan Depa, S.N. 2008. Introduction to Genetic Algorithms. Hlm 131-163. New York : Springer.

      [4] Haupt, R.L. dan Haupt. 2004. “Practical Genetic Algorithmsâ€. New Yersey : John Wiley dan Sons, Inc.

      [5] Zukhri, Zainudin. 2014. “Algoritma Genetika – Metode Komputasi Evolusioner untuk Menyelesaikan Masalah Optimasiâ€. Yogyakarta : Andi

      [6] M. Tsiros and C. M. Heilman, "The effect of expiration dates and perceived risk on purchasing behavior in grocery store perishable categories," Journal of Marketing, vol. 69, no. 2, 2005

      [7] Prajogo, D., & Olhager, J. "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration.", Int. J. Production Economics, 2012

      [8] O. Ahumada and J. R. Vilalobos, "A tactical model for planning the production and distribution of fresh produce," Annals of OperationResearch, vol. 190, no. 1, pp. 339-358, 2011

      [9] S. M. Seyedhosseini and S. M. Ghoreyshi, “Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integrationâ€, Mathematical Problems in Engineering Volume 2014, 2014

      [10] Saputri, M. W., Mahmudy, W. F., & Ratnawati, D. E. (2015). Optimasi Vehicle Routing Problem with Time Window (VRPTW) Menggunakan Algoritma Genetika pada Distribusi Barang. Jurnal Mahasiswa PTIIK Universitas Brawijaya, 5(12), 1-9.

      [11] Rahmat, B., Tjandrarini, A. B., & Budianto, D. (2011). Perbandingan Genetic Algorithm, Multiple Ant Colony System, dan Tabu Search untuk Penyelesaian Vehicle Routing Problem With Time Windows (VRPTW).

      [12] Suprayogi, D. A.& Mahmudy, W. F. (2015). Penerapan algoritma genetika traveling salesman problem with time window: Studi kasus rute antar jemput laundry', Jurnal Buana Informatika, vol. 6, no. 2, pp. 121-130.

      [13] Sulistiono, Noor Saif Muhammad Mussafi (2015). Rancang Bangun Vehicle Routing Problem Menggunakan Algoritma Tabu Search, Jurnal Fourier Oktober 2015, Vol. 4, No. 2, 155–167

      [14] Rayandra Yala Pratama, Wayan Firdaus Mahmudy (2017), Optimization Of Vehicle Routing Problem With Time Window (Vrptw) For Food Product distribution Using Genetics Algorithm, Journal of Information Technology and Computer Science Volume 2, Number 2, 2017, pp. 77- 84

      [15] Dita Sundarningsih, Wayan FirdausMahmudy, Sutrisno, Penerapan Algoritma Genetika untuk OptimasiVehicle Routing Problem with Time Window(VRPTW) Studi Kasus Air Minum Kemasan, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol. 1, No. 2, Februari 2017, page 100-107

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  • How to Cite

    Uzzin Nadhori, I., Syauqi Ahsan, A., Astika Saputra, F., & Hendra Prasetya, T. (2018). Distribution System for Urban Agricultural Products Using Genetic Algorithms based on Android. International Journal of Engineering & Technology, 7(4.40), 70-74. https://doi.org/10.14419/ijet.v7i4.40.24078

    Received date: 2018-12-16

    Accepted date: 2018-12-16

    Published date: 2018-12-16