OPTIMASI PENJADWALAN PRIORITAS PRODUKSI WIP REAL TIME BERBASIS SIMPLE ADDITIVE WEIGHTING DAN QR CODE
Abstract
Work-In-Progress (WIP) management in the pharmaceutical industry requires accurate control because each lot has a holding time limit that affects product stability. Manual processes may cause scheduling delays, incorrect lot retrieval, and storage area congestion. This study aims to develop a web-based WIP management system that generates real-time production priority recommendations. The system development applies Agile, while priority optimization uses Simple Additive Weighting (SAW) with criteria consisting of remaining holding time, urgency level, drum quantity, waiting time, and room occupancy. The system is equipped with QR Code validation during stock-in and stock-out activities to improve data traceability. The simulation results show that Lot 87511XP obtains the highest score of 0.6800 because it has the most critical remaining holding time, is stored in a high-density room, and has a long waiting time. Black box testing indicates that all main functions operate according to the expected scenarios. The proposed system supports more objective scheduling decisions, accelerates WIP monitoring, and helps mitigate overcapacity and holding time violation risks.
Downloads
References
[2] M. Ramadan, B. Salah, M. Othman, and A. A. Ayubali, “Industry 4.0-based real-time scheduling and dispatching in lean manufacturing systems,” Sustainability, vol. 12, no. 6, p. 2272, 2020, doi: 10.3390/su12062272.
[3] O. Rusman, I. K. Sriwarna, and Y. Prambudia, “Real-time WIP shelf-life tracking with barcode technology for defects reduction,” J. Ilm. Tek. Ind., vol. 23, no. 2, pp. 286-296, 2024, doi: 10.23917/jiti.v23i02.3982.
[4] H. Alfarizi, A. H. Anshor, and Edora, “Sistem informasi WIP (Work In Process) berbasis web menggunakan metode Waterfall,” KLIK Kaji. Ilm. Inform. Dan Komput., vol. 4, no. 3, pp. 1483-1492, 2023.
[5] S. Adiansyah and A. Z. Al Faritsy, “Perancangan sistem Kanban untuk mengurangi Work In Process di lantai produksi,” J. Teknol. Dan Manaj. Ind. Terap., vol. 3, no. 2, pp. 151-159, 2024, doi: 10.55826/jtmit.v3i2.324.
[6] M. G. Khan, N. U. Huda, and U. K. U. Zaman, “Smart warehouse management system: architecture, real-time implementation and prototype design,” Machines, vol. 10, no. 2, p. 150, 2022, doi: 10.3390/machines10020150.
[7] M. Khan, A. N. Alshahrani, and J. Jacquemod, “Digital platforms and supply chain traceability for robust information and effective inventory management: the mediating role of transparency,” Logistics, vol. 7, no. 2, p. 25, 2023, doi: 10.3390/logistics7020025.
[8] H. Kurniawan, I. Fadhli, and K. Sevinno, “Penerapan metode Agile dalam perancangan website sistem informasi data poin pelanggaran siswa,” Insand Comtech Inf. Sci. Comput. Technol. J., vol. 10, no. 1, pp. 38-45, 2025, doi: 10.53712/jic.v10i1.2646.
[9] W. Walim, A. B. Pohan, and A. Safrudin, “Implementasi metode Agile Development dalam perancangan sistem informasi pemesanan menu pada restoran,” Profitabilitas, vol. 2, no. 2, pp. 106-117, 2023, doi: 10.31294/profitabilitas.v2i2.1661.
[10] R. A. Fauzi and H. Septanto, “Design of a web-based inventory system at PT. Tainan Enterprises Indonesia,” J. Inform. Dan Tek. Elektro Terap., vol. 12, no. 3, 2024, doi: 10.23960/jitet.v12i3.4955.
[11] R. D. Gunawan, F. Ariany, and N. Novriyadi, “Implementasi metode SAW dalam sistem pendukung keputusan pemilihan plano kertas,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 29-38, 2023, doi: 10.58602/jaiti.v1i1.23.
[12] S. Suprapto, E. Edora, and F. A. Pasaribu, “Sistem pendukung keputusan calon penerima program bantuan sosial menggunakan metode Simple Additive Weighting,” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 4, no. 1, pp. 188-197, 2024, doi: 10.57152/malcom.v4i1.1057.
[13] A. R. Hakim, F. Natsir, and F. R. Asma, “Implementasi sistem pemeringkatan pegawai dengan metode SAW pada instansi Badan Pengawasan Keuangan dan Pembangunan,” J. ZETROEM, vol. 5, no. 2, pp. 127-131, 2023, doi: 10.36526/ztr.v5i2.3068.
[14] P. D. Mardika and A. Fauzi, “Sistem pendukung keputusan pemilihan supplier terbaik dengan metode Simple Additive Weighting (SAW),” J. Inform. Dan Tek. Elektro Terap., vol. 12, no. 1, 2024, doi: 10.23960/jitet.v12i1.3914.
[15] A. R. Ferdian and B. Y. Geni, “Designing a client monitoring system to improve tax consultant services,” J. Inform. Dan Tek. Elektro Terap., vol. 12, no. 3, 2024, doi: 10.23960/jitet.v12i3.4708.
[16] A. Azab and H. Pourvaziri, “Scheduling in Industry 4.0: a digital twin-based approach for scheduling and smart material-handling considerations,” Manuf. Lett., 2025, doi: 10.1016/j.mfglet.2025.06.018.

This work is licensed under a Creative Commons Attribution 4.0 International License.





















.png)
.png)
