Optimization of Goods Tracking and Inventory Systems at PT Integrasi Data Nusantara Using Genetic Algorithms and Functional Testing

Tubagus Adhitya Permana; Fadillah Said; Sri Lestari; Kiki Setyawan

doi:10.55227/ijhet.v4i3.354

Authors

Tubagus Adhitya Permana Cipta Karya Informatika College of Computer Science
Fadillah Said Cipta Karya Informatika College of Computer Science
Sri Lestari Cipta Karya Informatika College of Computer Science
Kiki Setyawan Cipta Karya Informatika College of Computer Science

DOI:

https://doi.org/10.55227/ijhet.v4i3.354

Keywords:

Genetic Algorithm, Optimization, Inventory Management, Reorder Point, Reorder Quantity

Abstract

Inventory management is a critical aspect of business operations, but at PT Integrasi Data Nusantara, the process of determining optimal stock levels and reorder points is still done manually, leading to risks of overstocking or stockouts. This results in high operational costs and potential dissatisfaction among training participants due to a mismatch between supply and dynamic demand. This study aims to optimize the goods tracking and inventory system by using a Genetic Algorithm to address these inefficiencies. The research was conducted at PT Integrasi Data Nusantara using historical training demand data and associated inventory cost data. The methodology includes designing an optimization system, implementing a genetic algorithm with a chromosome structure (ROP, ROQ), a fitness function that minimizes total costs, and evolutionary operators (selection, crossover, mutation). The research results show that the developed system is effective in recommending optimal inventory policies, successfully eliminating all stockout incidents, and significantly improving cost efficiency compared to manual methods. The conclusion of this study is that the implementation of a Genetic Algorithm can be an adaptive and functional solution to support more accurate, efficient, and automated inventory decision-making.

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References

Anasta, N., Kesuma, I., & Wardana, A. (2024). Optimalisasi Sistem Distribusi Tenaga Listrik Menggunakan Algoritma Genetika. Jurnal Elektronika Listrik Dan Teknologi Informasi Terapan, 6(2), 73–77. https://doi.org/10.37338/elti.v6i2.389

Ardi, A. (2025). Model Optimasi Pengelolaan Inventaris Aset Berbasis Web Menggunakan Pendekatan Design Thinking. Jurnal Ilmiah Manajemen Aset, 19, 50–58.

Azaria, D. P. (2025). Penerapan Algoritma Genetika Mutual Selection Untk Penjadwalan Shift Kerja Karyawan Pada PT. Mifa Bersaudara. Jurnal Multidisiplin Saintek, 7(9). https://doi.org/10.8734/Kohesi.v1i2.365

Diasti, A. K., Nugraha, R., Putra, T. E. M., Kusej, I. S., Pratama, R. M., Andaru, A. R., & Septiani, N. W. P. (2025). Aplikasi Inventarisasi Dan Pengelolaan Stok Real-Time Berbasis Mobile dan Web Database. Seminar Nasional Riset dan Inovasi Teknologi, 9(1), 325–331. https://doi.org/10.30998/semnasristek.v9i1.7830

Fajar, M., Azhar, R., Anshori, Y., Laila, R., Rinianty, & Lapatta, N. T. (2025). Optimization of Inventory Management with QR Code Integration and Sequential Search Algorithm: A Case Study in a Regional Revenue Office. Journal of Applied Informatics and Computing, 9(2), 412–420. https://doi.org/10.30871/jaic.v9i2.8919

Fitriyani, A., Lubis, H., Hendharsetiawan, A. A., & Hutahaean, J. A. L. (2025). Sistem Penjadwalan Mata Pelajaran Menggunakan Algoritma Genetika SMK PGRI Rawalumbu. Jurnal Manajamen Informatika Jayakarta, 5(2), 205–219. https://doi.org/10.52362/jmijayakarta.v5i2.1881

Iwasokun, G. B., & Alimi, S. A. (2022). Genetic Algorithm Model for Stock Management and Control. International Journal of Strategic Decision Sciences, 13(1), 1–20. https://doi.org/10.4018/ijsds.309119

Ja’a, W. A. T., Katili, M. R., Wungguli, D., & Yahya, N. I. (2022). Critical Path Method Dan Algoritma Genetika Untuk Optimasi Durasi Dan Biaya Pembangunan. Euler : Jurnal Ilmiah Matematika, Sains Dan Teknologi, 10(2), 292–302. https://doi.org/10.34312/euler.v10i2.14488

Mayyani, H., Nurbaiti, M., Supriyo, P. T., Aman, A., & Silalahi, B. P. (2023). Penerapan Algoritma Genetika Dengan Metode Roulette Wheel Dan Replacement Pada Masalah Memaksimumkan Omzet. MILANG Journal of Mathematics and Its Applications, 19(2), 153–172. https://doi.org/10.29244/milang.19.2.153-172

Mulyo, H. (2018). Penerapan Algoritma Genetika Dalam Efisiensi Persediaan Bahan Baku Mebel Di UD. Mebel Jati. Jurnal Rekognisi Akuntansi, 2(2), 155–165.

Nuradi, F., Tundo, T., Mulyana, D. I., & Lestari, S. (2024). Optimisasi Penjadwalan Kegiatan Guru Pada SMK IDN Boarding School Jonggol Dengan Penerapan Algoritma Genetika. Jurnal Teknologi dan Rekayasa Sistem Komputer (TEKNOKOM), 7(2), 283–290. https://doi.org/10.31943/teknokom.v7i2.223

Parnadi, M. A., Cahyono, B., & Syafrizal, A. (2025). Aplikasi Mobile untuk Optimalisasi Manajemen Pada Usaha Katering K'' Parnadi. Jurnal Media Akademik, 3(6). https://doi.org/10.62281

Rupilele, F. G. J., & Lahallo, F. F. (2024). Optimisasi Pengelolaan Barang Di Universitas Victory Sorong Melalui Perancangan Sistem Inventory Terpadu. Jurnal Jendela Ilmu, 5(1), 30–35. https://doi.org/10.34124/ji.v5i1.183

Sari, A. N., Ilhamsah, H. A., & Mu’alim. (2020). Perencanaan Persediaan Bahan Baku Dengan Metode Economic Order Quantity (EOQ) Menggunakan Algoritma Genetika (AG) (Studi Kasus: PT. XYZ). Jurnal Teknologi Penerbangan, 4(1), 1–10.

Saskia, L., Satrio, I. C., & Widodo, B. (2025). Penerapan Algoritma Genetika Untuk Pencarian Rute Terbaik Antar Jemput Laundry. Jurnal Informatika Teknologi Dan Sains (JINTEKS), 7(1), 266–271.

Simanjorang, R. M., Simangunsong, A., Arifin, M., & Tampubolon, S. D. (2024). Implementasi Algoritma Genetika Dalam Pengembangan Sistem Pakar Untuk Pemilihan Karier. Jurnal Media Informatika, 6(1), 33–40.

Syam, N., Aksara, L. M. F., & Tajidun, L. M. (2023). Sistem Informasi Penjadwalan Persediaan Barang Menggunakan Algoritma Genetika. ANIMATOR, 1(4), 1–5.