PREDIKSI PENJUALAN DISTRIBUTOR CV. LESTARI MANDIRI JAYA MENGGUNAKAN METODE FUZZY MAMDANI
DOI:
https://doi.org/10.33884/comasiejournal.v11i2.9029Kata Kunci:
sales prediction; distribution; fuzzy logic; method mamdani; MATLAB.Abstrak
Distribution firms frequently encounter difficulties in forecasting distributor sales due to the absence of a well-organized and precise prediction system. Inaccurate sales forecasts can result in issues that disturb business operations. The objective of this study is to identify sales data variables through fuzzy Mamdani calculations to forecast distributor sales for the company. To solve the sales prediction challenge, this research utilizes MATLAB software. Numerical data is vital in data processing as the fuzzy Mamdani logic method necessitates numerical data for processing in MATLAB. Once the data conversion process is finished, the subsequent step is to implement it in MATLAB to derive research findings that involve input and output variables. Tests were performed using two approaches: manual calculations and MATLAB. In every test, both manual and MATLAB methods were employed for defuzzification. The findings from both methods showed a sales increase with the same value of 85, indicating consistency between the methods and validating the accuracy of the implemented fuzzy model. Utilizing the fuzzy Mamdani method and MATLAB implementation allows companies to forecast distributor sales with greater precision. This analysis assists companies in recognizing sales trends and developing effective strategies to boost distributor sales.
Referensi
Azizah, F., Hindarto, H., Indahyanti, U., Informatika, P. T., & Sidoarjo, U. M. (2023). PREDIKSI LOBSTER SEBAGAI STANDART KUALITAS SIAP JUAL. 5(2), 73–85.
Chaniago, D. S. (2021). Aplikasi Kesehatan Menentukan Jenis Penyakit Lambung Dengan Mengambil Beberapa Gejala Menggunakan Metode Fuzzy - Mamdani. J-SISKO TECH (Jurnal Teknologi Sistem Informasi Dan Sistem Komputer TGD), 4(1), 32. https://doi.org/10.53513/jsk.v4i1.2604
Deni, I., & Handoko, K. (2023). Implementasi Fuzzy Logic Dalam Menentukan Harga Perbaikan Alternator Menggunakan Metode Mamdani. Computer and Science Industrial Engineering (COMASIE), 8(1), 139–148. https://doi.org/10.33884/comasiejournal.v8i1.6744
Friska Narulita, L., & Ahmad, I. (2024). Penerapan Metode Fuzzy Mamdani Dalam Rancang Bangun Sistem Informasi Prediksi Produksi Barang. Luvia Friska Narulita Dan Ququh Imanuddin Ahmad MULTIPLE: Journal of Global and Multidisciplinary, 2(1), 1016–1026. https://journal.institercom-edu.org/index.php/multipleINSTITERCOMPUBLISHERhttps://journal.institercom-edu.org/index.php/multiple
Hanafi, M. R., Adjhi, D. P., & Adiwilaga, A. (2024). Prototype Implementation of Exhaust Fan Control Using Mamdani Fuzzy Logic to Minimize LPG Concentration. 1(9), 293–300.
Juliana, E., Kurniawan, R., Komputer, F. I., Studi, P., Informasi, S., & Ali, U. D. (2021). Implementasi Metode Fuzzy Tsukamoto Dalam Memprediksi Jumlah Produksi TMG. 4(1), 9–15.
Juwita, R. E. (2022). MENENTUKAN VOLUME PRODUKSI AYAM DENGAN MEMILIH PAKAN AYAM MENGGUNAKAN METODE SUGENO. 2(3), 31–38.
Napitupulu, R. L., & Handoko, K. (2022). Jurnal Comasie. 05.
Saragih, S. P. (2024). Desain Sistem Informasi Penyaluran Tenaga Kerja (studi kasus: PT. xyz Penyalur Asisten Rumah Tangga). Jurnal Desain Dan Analisis Teknologi, 3(2), 163–168. https://doi.org/10.58520/jddat.v3i2.65Saragih, S. P. (2018). Implementasi Platform Media Sosial Sebagai Business Support oleh Pelaku Usaha Wisata di Kota Batam. Journal of Applied Informatics and Computing, 2(2), 15–23. https://doi.org/10.30871/jaic.v2i2.1016
Setiawan, D. R., Kustanto, K., & Utami, Y. R. W. (2019). Penentuan Jumlah Produksi Baju Batik Di Batik Merak Manis Dengan Metode Fuzzy Mamdani. Jurnal Teknologi Informasi Dan Komunikasi (TIKomSiN), 7(1), 42–48. https://doi.org/10.30646/tikomsin.v7i1.417
Sriyanti, A., & Yetri, M. (2024). Sistem Pendukung Keputusan Menentukan Stock BBM Berdasarkan Hasil Penjualan Menggunakan Metode Fuzzy Mamdani. 3, 46–53.
