Sistem Optimasi Penjadwalan Mesin Produksi Menggunakan Metode GUPTA Berbasis Android

*Chamdan Mashuri scopus  -  Hasyim Asy’ari University, Indonesia
Ahmad Heru Mujianto  -  Hasyim Asy’ari University, Indonesia
Hadi Sucipto  -  Hasyim Asy’ari University, Indonesia
Rinaldo Yudianto Arsam  -  Hasyim Asy’ari University, Indonesia
Received: 16 Nov 2019; Revised: 11 Mar 2020; Accepted: 12 Mar 2020; Published: 27 May 2020; Available online: 27 May 2020.
DOI: https://doi.org/10.21456/vol10iss1pp20-27 View
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Abstract

Research has been carried out by developing an optimization information system for scheduling production machines by applying the Android-based GUPTA method. This android-based application is able to optimize production time, because in the android application it implements the GUPTA algorithm which uses the calculation of the comparative processing time on every machine in the company by prioritizing the smallest processing time for scheduling which aims to optimize production scheduling time, by paying attention to the value of makespan to produce product size 12 griddle, size 14 griddle, 16 size griddle, 18 size griddle and 20 size griddle so that an optimal makespan value is obtained. The GUPTA method can be used in problems with more than two machines, because this method combines the time of each process on the first and subsequent machines to find the minimum value and can only be used in pure flow shop scheduling. The advantage of this method is that it determines scheduling only on one machine group. This research resulted in an Android-based application that can schedule products to be produced by machines automatically. From the results of testing with a total of 12 pieces of production in each product with a total of 5 different sizes, the minimum value of makespan is obtained, namely 2054569 minutes with the sequence of product processing with work order 12 griddle, griddle 18, griddle 20, griddle 16, and griddle 14 The accuracy of the application test results shows 98.87% for the first time and 98.84% for the second time when compared with manual calculations.

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Keywords: Optimization; Scheduling; GUPTA; Information Systems; Android
Funding: PDP Rsitek Dikti

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  1. Bouzidi and Riffi, M.E., 2014. Cat swarm optimization to solve job shop scheduling problem, IEEE, vol. 2, pp. 4799-5979
  2. C.W. Moreno. 2006. Optimization in production operations optimal “lean operations” in manufacturing," Advanced Process Management, vol. 513, pp. 469-8629, (2006)
  3. Darmawan, L.F., & Pramestari, D., 2018. Analisis penjadwalan produksi produk oxygen sensor dengan metode heuristic gupta dan campbell, dudek and smith di PT. Denso Indonesia. IKRA-ITH Teknologi, 23-33
  4. Juansyah, A., 2015. Pembangunan aplikasi child tracker berbasis assisted – global positioning system (A-GPS) dengan platform android. Jurnal Ilmiah Komputer dan Informatika (KOMPUTA), 1-8
  5. J. Yao and Z. Deng, 2015. Scheduling optimization in the mass customization of global producer services, IEEE Transactions On Engineering Management, pp. 0018-9391 , (2015)
  6. Kuswandi, I., 2010. Minimasi makespan dengan penjadwalan produksi pada tipe produksi berulang. Teknik Industri, 84-93
  7. Cesari, L.W., 2016. Optimasi waktu produksi dan analisis kepriodikan pada graf sistem produksi ber-loop dengan menggunakan sistem persamaan linier aljanar MAX-PLUS," Perpustakaan Yogyakarta, Yogyakarta
  8. Mahaseptiviana, A., Tjandrarini, A. dan Sudarmaningtyas, P., 2013. Analisis dan perancangan sistem informasi penjualan air minum pada CV. Air Putih. JSIKA, 1-7
  9. Mashuri, C., Mujianto, A.H., Sucipto, H., Arsam, Y. R., & Permadi, G.S., 2019. Production Time Optimization using Campbell Dudek Smith (CDS) Algorithm for Production Scheduling. The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019). Semarang - Indonesia: EDP Sciences
  10. Nadia, V., Dewi, D.R., & Sianto, M.E., 2010. Penjadwalan produksi dan perencanaan persediaan bahan baku di PT. Wahana Lentera Raya. Widya Teknik, 179-192
  11. Nuryasin, 2016. Aplikasi sistem informasi pendaftaran wisuda berbasis online studi kasus Fst Uin Syarif Hidayatullah Jakarta, Jurnal Sistem Informasi, vol. 9, pp. 99-112, 2016
  12. Sugino, W., & Abdullah, H., 2013. Penjadwalan produksi menggunakan metode Fcfs, Cds dan Gupta. Jurnal Ilmu Komputer dan Sistem Informasi, 225-230
  13. Wati, D.A., & Rochman, Y.A., 2013. Model penjadwalan matakuliah secara otomatis berbasis Algoritma Particle Swarm Optimization. Jurnal Rekayasa Sistem Industri, 22-31

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