Pencarian Rute Terpendek Dalam Pendistribusian Darah di Palang Merah Indonesia (PMI) dengan Algoritma Dijkstra


  • Catur Hidayatullah * Mail Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
  • Rakhmat Kurniawan R Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
  • Armansyah Armansyah Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Indonesian Red Cross; Dijkstra's Algorithm; Artificial Intelligence; Blood; Graph

Abstract

The Indonesian Red Cross (PMI) is an independent and neutral organization in Indonesia engaged in humanitarian activities. One of the departments within the Indonesian Red Cross is the blood donor unit. The Blood Donor Unit (UDD) of PMI Deli Serdang is one of the Indonesian Red Cross offices in the Deli Serdang district, which deals with social humanitarian activities such as blood donation, volunteer recruitment, emergency response, and others. One common issue in blood distribution is the numerous routes that need to be taken, resulting in wasted time and delayed blood deliveries. Due to this issue, the implementation of artificial intelligence is needed to determine the shortest route for optimal and fast blood delivery. The application of artificial intelligence in problem-solving in the field of computer science has seen rapid development over the years in line with the advancement of artificial intelligence itself. In determining the shortest route, several algorithms can be used, one of which is the Dijkstra algorithm. It is used to solve problems in a graph to determine the shortest route. In the process, the Dijkstra algorithm determines the points that will become the distance weights connected from one point to another, resulting in the desired nodes. Therefore, an application is needed to find the nearest route to make blood delivery more time-efficient. In manual calculations using the algorithm, it was found that the shortest route from UDD (PMI Deli Serdang Blood Donation Unit) to GM (Grand Medistra Hospital) is through the route UDD → A → B → C → D → GM = 0 + 300 m + 250 m + 1,500 m + 35 m + 90 m with a total distance of 2,175 meters or 2.1 kilometers in 5 minutes. Thus, the use of the Dijkstra algorithm can assist in determining the fastest and optimal route for blood distribution, saving time and improving delivery efficiency.

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Author Biography

Armansyah Armansyah, Universitas Islam Negeri Sumatera Utara, Medan

The Indonesian Red Cross (PMI) is an independent and neutral organization in Indonesia engaged in humanitarian activities. One of the departments within the Indonesian Red Cross is the blood donor unit. The Blood Donor Unit (UDD) of PMI Deli Serdang is one of the Indonesian Red Cross offices in the Deli Serdang district, which deals with social humanitarian activities such as blood donation, volunteer recruitment, emergency response, and others. One common issue in blood distribution is the numerous routes that need to be taken, resulting in wasted time and delayed blood deliveries. Due to this issue, the implementation of artificial intelligence is needed to determine the shortest route for optimal and fast blood delivery. The application of artificial intelligence in problem-solving in the field of computer science has seen rapid development over the years in line with the advancement of artificial intelligence itself. In determining the shortest route, several algorithms can be used, one of which is the Dijkstra algorithm. It is used to solve problems in a graph to determine the shortest route. In the process, the Dijkstra algorithm determines the points that will become the distance weights connected from one point to another, resulting in the desired nodes. Therefore, an application is needed to find the nearest route to make blood delivery more time-efficient. In manual calculations using the algorithm, it was found that the shortest route from UDD (PMI Deli Serdang Blood Donation Unit) to GM (Grand Medistra Hospital) is through the route UDD → A → B → C → D → GM = 0 + 300 m + 250 m + 1,500 m + 35 m + 90 m with a total distance of 2,175 meters or 2.1 kilometers in 5 minutes. Thus, the use of the Dijkstra algorithm can assist in determining the fastest and optimal route for blood distribution, saving time and improving delivery efficiency.

References

Asmawati S, S.Kom., M.Pd., Nazaruddin Ahmad, M.T., Rika Ismayanti, S.Kom., M.Kom, Welda, S.Kom., M.T.I., Dr. Muhammad Ramdhan Olii, S.T., M.Eng., Nurfaizah, M.Kom., Rifaldo Pido, S.T., M.T., Andi Yulia Muniar, S.Si., M.T., Nur Syamsiyah, S.T., M.T.I., Fah, M. K. (2022). Sistem Pendukung Keputusan (M. K. Dudih Gustian, S.T. (ed.)). Media Sains Indonesia. https://www.google.co.id/books/edition/Sistem_Pendukung_Keputusan/DB9ZEAAAQBAJ?hl=id&gbpv=0

Budihartono, E. (2016). Penerapan Algoritma Dijkstra Untuk Sistem Pendukung Keputusan Bagi Penentuan Jalur Terpendek Pengiriman Paket Barang Pada Travel. Senit, 69–78. https://ejournal.poltektegal.ac.id/index.php/prosiding/article/viewFile/360/344

Buleleng, A. (2021). Kenali Manfaat Rutin Donor Darah bagi Kesehatan. Buleleng.Bulelengkab.Go.Id. https://buleleng.bulelengkab.go.id/informasi/detail/artikel/35-kenali-manfaat-rutin-donor-darah-bagi-kesehatan

Dewi, L. J. E. (2010). Pencarian Rute Terpendek Tempat Wisata Di Bali Dengan Menggunakan Algoritma Dijkstra. Seminar Nasional Aplikasi Teknologi Informasi 2010 (SNATI 2010), 2010(Snati), 46–49.

Furqan, M., Nasution, Y. R., & Nurdianti, T. S. (2021). Penerapan Algoritma Greedy Untuk Menentukan Rute Terpendek Antar Klinik Gigi. CSRID (Computer Science Research and Its Development Journal), 12(3), 170. https://doi.org/10.22303/csrid.12.3.2020.170-178

Girsang, A. S. (2017). Algoritma Dijkstra. https://mti.binus.ac.id/2017/11/28/algoritma-dijkstra/

Harahap, M. K., & Khairina, N. (2017). Pencarian Jalur Terpendek dengan Algoritma Dijkstra. SinkrOn, 2(2), 18. https://doi.org/10.33395/sinkron.v2i2.61

Harsadi, P., & Nugroho, D. (2020). Implementasi Algoritma Dijkstra Dan Metode Haversine Pada Penentuan Jalur Terpendek Pendakian Gunung Merapi Jalur Selo Berbasis Android. Jurnal Teknologi Informasi Dan Komunikasi (TIKomSiN), 8(1), 61–67. https://doi.org/10.30646/tikomsin.v8i1.483

Haviluddin. (2011). Memahami Penggunaan UML ( Unified Modelling Language ). Memahami Penggunaan UML (Unified Modelling Language), 6(1), 1–15. https://informatikamulawarman.files.wordpress.com/2011/10/01-jurnal-informatika-mulawarman-feb-2011.pdf

Hidayat, F. (2020). Konsep Dasar Sistem Informasi Kesehatan. Deepublish. https://books.google.co.id/books?id=dJfwDwAAQBAJ&dq=konsep+dasar+sistem&lr=&hl=id&source=gbs_navlinks_s

Mahendra, Y. D., Nuryanto, N., & Burhanuddin, A. (2019). Sistem Penentuan Jarak Terdekat Dalam Pengiriman Darah Di Pmi Kota Semarang Dengan Metode Algoritma Greedy. Jurnal Komtika, 2(2), 136–142. https://doi.org/10.31603/komtika.v2i2.2601

R, W. E. Y., Istiadi, D., & Roqib, A. (2015). Pencarian Spbu Terdekat Dan Penentuan Jarak Terpendek Menggunakan Algoritma Dijkstra. Jurnal Nasional Teknik Elektro, 4(1), 89–93.

Rafi, F. M. (2020). Aplikasi Informed dan Uninformed Search Dalam Penentuan Rute Liburan Keluarga. Sekolah Teknik Elektro Dan Informatika Institut Teknologi Bandung.

Ramadhan, A. W. R., & Udjulawa, D. (2020). Perbandingan Algoritma Dijkstra dan Algoritma A Star pada permainan Pac-Man. Jurnal Algoritme, 1(1), 12–20. https://doi.org/10.35957/algoritme.v1i1.411

Ratnasari, A., Ardiani, F., & A, F. N. (2013). Penentuan Jarak Terpendek dan Jarak Terpendek Alternatif Menggunakan Algoritma Dijkstra Serta Estimasi Waktu Tempuh. Semantik 2013, 3(1), 29–34.

Ruddell, B. L., & Kumar, P. (2005). Unified modeling language. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling, 10, 9–20. https://doi.org/10.4018/jdm.2001010103

yogi ardhi, F. carolio. (2021). In Picture: Kebutuhan Kantong Darah PMI Medan di Masa PPKM Menurun. Republika.Co.Id. https://www.republika.co.id/berita/qz2kzs314/kebutuhan-kantong-darah-pmi-medan-di-masa-ppkm-menurun#:~:text=Kebutuhan stok darah di kota Medan sebanyak 5.500-6.000 kantong,7%2F9%2F2021).

Yulita Molliq Rangkuti, Said Iskandar Al Idrus, D. D. T. (2021). Pengantar Pemrograman Python. Media Sains Indonesia. https://www.google.co.id/books/edition/Pengantar_Pemrograman_Python/2ftLEAAAQBAJ?hl=id&gbpv=0


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Published: 2024-04-30
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