FUZZY MAMDANI FORECASTING OF BLOOD BAG SUPPLY AT INDONESIAN RED CROSS BLOOD IN DELI SERDANG REGENCY UNIT
Keywords:
Forecasting, Supply Demand Production, Fuzzy Mamdani
Abstract
An increase in population will cause an increase in the amount of processed blood reserves. Therefore, it is necessary to forecast the amount of production within a certain period of time to see the number of blood bags that may be needed in order to meet demand correctly and in the appropriate amount. The method used is Mamdani fuzzy with data sourced from the Indonesian Red Cross Blood Unit Deli Serdang Regency from January 2019 to January 2020. This study shows that the Mamdani District fuzzy method can be implemented for forecasting the production of blood bags in January and February 2020.
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[2] K. K. RI, "Situasi Donor Darah di Indonesia," 2014. [Online]. Available: http://www.depkes.go.id .[Accessed 16 Februari 2020].
[3] B. P. Statistik, "Data Sosial dan Kependudukan," 2011. [Online]. Available: http:/deliserdangkab.bps.go.id. [Accessed 16 Februari 2020].
[4] R. I. d. R. Pranoto, Manajemen Produksi, Jakarta: PT Gramedia Widiasarana Indonesia, 2003.
[5] S. Assauri, Manajemen Produksi dan Operasi, Jakarta: Fakultas Ekonomi Universitas Indonesia, 1999.
[6] D. P. D. I. I.P. Hariati, "Peramalan Permintaan Produk Keripik Tempe CV Aneka Rasa dengan Metode Jaringan Syaraf Tiruan," Industria, pp. 10-21, 2012.
[7] d. R. A. R. Munadi Amsar, "Seleksi Beasiswa untuk Perguruan Tinggi berdasarkan Pendekatan Keputusan Berkeadilan dengan Fuzzy Mamdani," J. Inotera, vol. 2, pp. 1-8, 2017.
[8] A. A. S. d. Mohammad Saeid Akbari, "Fuzy Mamdani-based Model Predictive Load Frequency Control," Auckland University of Technology, p. 10, 2020.
[9] M. a. P. G. I.M M.M. Cruz-Cunha, "Handbook of research on ICT'S and Management System for Improving Efficiency in Healthcare and Socialcare (2 volume)," IGI Global, Hershey, pp. 1-1531, 2013.
[10] C. J. S. L. a. L. J. Liu Y., "Sampled Data State Feedback Stabilization of Boolean Control Networks," Neural Comput, vol. 28, pp. 778-799, 2016.
[11] H. P. a. R. Rahim, "Comparative Analysis of Membership Function on Mamdani Fuzzy Inference System for Decision Making," Journal of Physics:Conference Series, vol. 930, 2017.
[12] F. R. d. Y. L. D.L. Rahakbauw, "Penerapan Metode Fuzzy Mamdani untuk Memprediksi Jumlah Produksi Karet (Studi Kasus: Data Persediaan dan Permintaan Produksi Karet pada PTP Nusantara XIV (Persero) Kebun Awaya, Teluk Elpaputih, Maluku-Indonesia)," Jurnal Ilmiah Matematika dan Terapan, vol. 16, pp. 119-127, 2019.
[13] A. R. a. R. Adrian, "Penerapan Metode K-Means untuk Clustering Mahasiswa berdasarkan Nilai Akademik dengan Weka Interface Studi Kasus pada Jurusan Teknik Informatika UMM Magelang," vol. 18, pp. 76-82, 2015.
[14] F. Susilo, Himpunan dan Logika Kabur serta Aplikasi nya, Yogyakarta: Graha Ilmu, 2006.
[15] A. S., "Evolutionary fuzzification of RIPPER for Regression: Case Study of Stock Prediction," Neurocomputing, vol. 331, pp. 121-137, 2019.
[16] E. Nugroho, "Sistem Pengendali Lampu Lalu Lintas Berbasis logika Fuzzy," J. Simetris, vol. 8, pp. 75-84, 2017.
[17] S. Hartanto, "Impelementasi Fuzzy Rule Based untuk Klasifikasi Buah Mangga," Techsi-Jurnal Tek. Inform, vol. 9, pp. 103-122, 2017.
[18] T. P. A. P. a. N. M. D.A.N. Wulandari, "A Comparison Tsukamoto and Mamdani Methods in Fuzzy Inference System for Determining Nutritional Toddlers," International Conference on Cyber and IT Service Management, pp. 1-7, 2018.
[19] I. P. H. A. R. Eka Mala Sari Rochman, "Implementation of Fuzy Mamdani for Recommended Tourist Locations in Madura-Indonesia," Journal of Physics:Conference Series, 2020.
[20] W. D., "Fuzzy Risk Assesment in the Life Cycle of Building Object-Selection of the right Defuzzification Method," AIP Conf. Proc, vol. 1978, 2018.
[21] M. S. D. W. a. A. S. R. Khosravanian, "Weight on drill bit prediction models; Sugeno-type and Mamdani-type fuzzy nference system compared," J. Nat. Gas Sci.Eng, vol. 36, 2016.
[22] S. Batubara, "Analisis Perbandingan Metode Fuzzy Mamdani dan Fuzzy Sugeno untuk Penentuan Kualitas Cor Beton Instan," It J. Res Dev, vol. 2, pp. 1-11, 2017.
[23] F. Silikin, "Aplikasi Logika Fuzzy dalam Optmisasi Produsi menggunakan Metode Mamdani dan Metode Sugeno," 2011.
[24] H. P. a. U. Sutisna, "Implementation of Fuzzy Logic Algorithm for Traffic Lights Control Systm Using," Techno, vol. 15, pp. 1-8, 2014.
[25] S. N. a. I. Immanudin, "Penerapan Logika Fuzy Mamdani untuk Prediksi Pengadaan Peralatan Rumah Tangga Rumah Sakit Application of Fuzzy Mamdani Logic for Procurement Predictions Hospital Household Appliances," Komputika, vol. 8, 2019.
[26] H. Cipta, “The Ranking Of The Best Educators By Applying Fuzzy Logic Sugeno Based On Performance Assessment,” INFOKUM, vol. 10, no. 1, pp. 34–42, 2021.
Published
2022-12-31
How to Cite
Ika Silvia Ramadani, Rina Filia Sari, & Hendra Cipta. (2022). FUZZY MAMDANI FORECASTING OF BLOOD BAG SUPPLY AT INDONESIAN RED CROSS BLOOD IN DELI SERDANG REGENCY UNIT. INFOKUM, 10(5), 361-367. Retrieved from https://infor.seaninstitute.org/index.php/infokum/article/view/3016
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Articles
