OPERATIONAL EFFICIENCY OF PALEMBANG CITY TRANSPORTATION USING SAVING MATRIX METHOD
DOI:
https://doi.org/10.11113/aej.v13.19531Keywords:
feeder, Saving Matrix Method, efficient route, outside of peak hoursAbstract
Currently, housing development is actively carried out in Palembang City, especially in sub-districts with vast underutilized land with relatively cheap prices. People’s preferences for private transport for movement may give rise to congestion on the roads leading to the housing estates due to narrow access roads. The Government of Palembang City has laid out a plan for feeder transportation connecting buses and LRTs. Going forward, the procurement and management for this feeder transportation will be handed over to the public (private sector). There needs to be a route plan that is efficient and easy to modify considering the low number of passengers outside of peak hours and the constantly-changing number at every point. The Saving Matrix was studied for its effectiveness in planning fast and efficient routes. The results of the study showed that calculations using the Saving Matrix method are easy to carry out and produces efficient routes.
References
Ikfan, N. & Masudin, I. 2013. Penentuan Rute Transportasi Terpendek untuk Meminimalkan Baya Menggunakan Metode Saving Matriks. Jurnal Ilmiah Teknik Industri, 12(1): 165-178. DOI: https://doi.org/10.23917/jiti.v12i2.643
Ahmad, F. & Muharram,H.F. 2018. Penentuan Jalur Distribusi dengan Metode Saving Matrix. Competitive, 13(1): 45-66. DOI: https://doi.org/10.36618/competitive.v13i1.346
Suparjo. 2019. Use Of The Saving Matrix Method As An Alternative For Distribution Cost Efficiency: An Empirical Study On Log Timber Companies In Central Java. International Journal of Scientific & Technology Research, 8(08): 398-402.
Rizkya, I., Matondang, N., Yahya, M.D. and Ningsih, M.S. 2019. Design of Distribution Routes Using Saving Matrix Method to Minimize Transportation Cost. International Conference on Sustainable Engineering and Creative Computing (ICSECC): 23-26. http://dx.doi.org/10.36055/jiss.v7i1.11378
Lukmandono, Basuki, M., Hidayat, M.J. and Aji, F.B. 2019. Application of Saving Matrix Methods and Cross Entropy for Capacitated Vehicle Routing Problem (CVRP) Resolving. The 1st International Conference on Advanced Engineering and Technology, IOP Conf. Series: Materials Science and Engineering 462(012025):1-6
DOI 10.1088/1757-899X/462/1/012025
Rosanti, A.A., Yuniaristanto, Sutopo, W. and Hisjam, M. 2019. Implementation of saving matrix to determine distribution route of Kalog Express Surakarta. IOP Conference Series: Materials Science and Engineering, Volume 495, 11th Curtin University Technology, Science and Engineering (CUTSE) International Conference 26–28 November 2018, Sarawak, Malaysia: 1-8. DOI 10.1088/1757-899X/495/1/012025
Fitriani, N.A., Pratama, R.A., Zahro, S., Utomo, P.H., Martinie, T.S. 2021. Solving capacitated vehicle routing problem using saving matrix, sequential insertion, and nearest neighbor of product ‘X’ in Grobogan district. AIP Conference Proceedings 2326: 020007.
DOI: 10.1063/5.0039295
Perdana. V.A., Hunusalela, Z.F. & Prasasty, A.T. 2021. Penerapan Metode Saving Matrix Dan Algoritma Nearest Neighbor Dalam Menentukan Rute Distribusi Untuk Meminimalkan Biaya Transportasi Pada PT. XYZ. Jurnal Ilmiah Teknik dan Manajemen Industri Universitas Kadiri 4(2): 91–105. DOI: http://dx.doi.org/10.30737/jatiunik.v4i2.1000
Rizwan, R., Ramdani, W.R., Khobir, M.F. and Fauzi, M. (2021). Implementation of the Saving Matrix Method to Determine Vehicle Routes. Devotion, Journal of Community Service, 3(1): 23-31. https://doi.org/10.36418/dev.v3i1.87
Pattiasina, T.J., Setyoadi, E.T., Wijayanto.D. 2018. Saving Matrix Method for Efficient Distribution Route Based on Google Maps API. Journal of Telecommunication, Electronic and Computer Engineering 10( 2-3): 183-188
Hartien, T.H., Susetyo, J., Asih, E.W. 2021. Optimalisasi Distribusi Tabung Gas Dengan Metode Clarke & Wright Saving Heuristik dan Generalized Assigment. Jurnal Rekayasa Industri, 3(2): 90-98
Kurniawan, D., Destrisa, B. 2023. Saving matrix and nearest neighborhood with permutation for capacitated vehicle routing problem using Google Maps and VBA. AIP Conference Proceedings 2772, 080003 (2023). https://doi.org/10.1063/5.0117019
B. Buluta, M. Gunaya, K. Ozgunb, J. W. Ledet. 2021. Optimizing Bus Lines Using Genetic Algorithim for Public Transportation. The 6th International Conference on Smart City Applications, 27–29 October 2021, Karabuk University, Virtual Safranbolu, Turkey
Mitsuo Gen, Runwei Cheng. 1997. Genetic Algorithms and Engineering Design. Copyright © 2000-2023 by John Wiley & Sons, Inc.
M. A. H. Akhand, P. C. Shill, M. S. Sabuj, Z. Afrin, M. M. Haizur Rahman. 2015. A PSO based Transportation Network Design Optimization of the Mega City Dhaka. 2nd Int'l Conf. on Electrical Engineering and Information & Communication Technology (ICEEICT) Jahangirnagar University, Dhaka-1342, Bangladesh, 21-23 May 2015.
Azmi, A.U., Hidayat, R., Arif, M.Z. 2019. Perbandingan Algoritma Particle Swarm Optimization (PSO) dan Algoritma Glowworm Swarm Optimization (GSO) dalam Penyelesaian Sistem Persamaan Non Linier. Majalah Ilmiah Matematika dan Statistika 19(1): 29 – 38.
https://jurnal.unej.ac.id/index.php/MIMS/index ISSN 1411-6669
Yarmen, M. & Yuda, I. G. 2013. Kualitas Pelayanan Angkutan Kota (ANGKOT) di Jawa Barat. Jurnal Ilmiah, Lembaga Ilmu Pengetahuan Indonesia: 192-200.
Istantiningrum, M. 2010. Penentuan Rute Pengiriman Dan Penjadwalan Dengan Menggunakan Metode Saving Matrix Study Kasus Pada PT. Sukanda Djaya Yogyakarta.Yogyakarta: Program Studi Teknik Industri UIN Sunan Kalijaga, A. 2015. Mini-UAV Based Sensory System for Measuring Environmental Variables in Greenhouses. Sensors. 15(2): 3334-3350.
