Penerapan Metode Fuzzy Logic dalam Estimasi Waktu Produksi Konveksi Kaos Massal
Keywords:
Estimasi Waktu Produksi, Fuzzy Logic Mamdani, Konveksi, Sistem Informasi, WebsiteAbstract
The process of estimating production time in the garment manufacturing industry is generally performed manually and relies on experience, making it subjective and often causing discrepancies between estimated and actual completion times. This study aims to design and develop a web-based production time estimation system by applying the Fuzzy Logic Mamdani method to provide more objective and measurable estimates. The system processes production variables such as the number of products, design complexity, number of workers, and number of design sides using the Mamdani fuzzy inference mechanism to obtain estimated production times. System testing was conducted using Black Box Testing to ensure all features function according to specifications, and accuracy evaluation was performed using Mean Absolute Percentage Error (MAPE). The results show that the system can provide production time estimates with an average MAPE of 6.73%, categorizing it as highly accurate and suitable for supporting decision-making. Therefore, this web-based system proves to assist garment manufacturers in calculating production time quickly, objectively, and accurately.
References
[1] A. Muzamil and M. Nuruddin, “ANALISIS PENJADWALAN PRODUKSI KAOS DENGAN MENGGUNAKAN METODE PDCA (STUDI KASUS : AL GHANI KONVEKSI),” Jurnal Sistem Dan Teknik Industri, vol. 4, no. 2, 2023.
[2] L. A. Rahmananda and A. R. Putera, “Rancang Bangun Sistem Pengadaan Produksi Berbasis Website Pada Mitra Anda Konveksi,” in Seminar Nasional Teknologi Informasi dan Komunikasi-2021, 2021, pp. 429–435.
[3] F. N. Bimantoro, R. T. Subagio, and Muh. A. Sulhan, “PROTOTYPE SMART STREET LIGHT SYSTEM BERBASIS ARDUINO MENGGUNAKAN METODE FUZZY LOGIC,” JIKA (Jurnal Informatika), vol. 7, no. 3, p. 281, Aug. 2023, doi: 10.31000/jika.v7i3.7651.
[4] T. J. . Ross, Fuzzy logic with engineering applications. John Wiley, 2010.
[5] Azis Aditama, Faiz Fajar Ramadhan, Fitri Robiah Al Adawiyah, J. E. Maulana, Komala Dewi, and Annisa Kartinawati, “Implementasi Logika Fuzzy dan Aplikasi POM-QM dalam Perencanaan Produksi Bengkel Sepatu Wolloe,” Jurnal Riset Teknik Industri, pp. 155–168, Dec. 2024, doi: 10.29313/jrti.v4i2.5441.
[6] R. N. Al-Faruq and H. Hindarto, “Prediksi Produksi Rokok Klobot Menggunakan Metode Logika Fuzzy Mamdani,” Indonesian Journal of Applied Technology, vol. 1, no. 2, p. 14, Jul. 2024, doi: 10.47134/ijat.v1i2.3052.
[7] I. Karima and A. Rahman, “Implementasi Metode Fuzzy Mamdani dalam Pengambilan Keputusan Rekomendasi Jumlah Produksi,” Jurnal Inovasi Komputer (INOKOM), vol. 1, no. 1, 2024, [Online]. Available: https://jurnal.citanusantara.id/index.php/inokom
[8] Y. E. Kj, H. P. Caesarie, R. J. Sakuntala, and T. Anwar, “Penerapan Fuzzy Logic dalam Memprediksi Persediaan Bahan Baku Franchise Teh Nusantara Di Purwokerto,” in Conference on Electrical Engineering, Informatics, Industrial Technology, and Creative Media 2024, 2024, pp. 1046–1056.
[9] R. Fahmi, Imilda, and A. Salam, “Rancang Bangun Platform Penjualan Domain Dan Hosting Berbantuan Whmcs Berbasis Web,” Jurnal Sistem Komputer (SISKOM), vol. 3, no. 1, pp. 49–55, Feb. 2023, doi: 10.35870/siskom.v3i1.793.
[10] A. F. Zulkarnain, A. T. E. Suryo, and Mahrudin, “Perancangan Sistem Monitoring Budidaya Ikan Patin Berbasis Protokol Lora Menggunakan Metode Fuzzy Logic,” Buletin Profesi Insinyur 7, vol. 1, pp. 13–22, Feb. 2024, doi: http://dx.doi.org/10.20527/bpi.v7i1.230.
[11] R. P. W. Zahirah, M. N. Adiningtias, F. Millennianita, R. B. Sulistiaputri, and U. Athiyah, “SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN JUMLAH PRODUKSI BARANG METODE FUZZY TSUKAMOTO,” Jurnal Informatika & Rekayasa Elektronika, vol. 5, pp. 181–190, Nov. 2022.
[12] L. A. Zadeh, Fuzzy Sets*, vol. 8. 1965.
[13] E. H. Mamdani and S. Assilian, An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller, vol. 7. 1975.
[14] B. Davvaz, I. Mukhlash, and S. Soleha, “Himpunan Fuzzy dan Rough Sets,” Limits: Journal of Mathematics and Its Applications, vol. 18, no. 1, p. 79, May 2021, doi: 10.12962/limits.v18i1.7705.
[15] Earl. Cox, The fuzzy systems handbook : a practitioner’s guide to building and maintaining fuzzy systems. AP Professional, 1994.
[16] I. Wahyuni and M. Pd, LOGIKA FUZZY TAHANI (Teori dan Implementasi).
[17] S. H. Nova, A. P. Widodo, and B. Warsito, “Analisis Metode Agile pada Pengembangan Sistem Informasi Berbasis Website: Systematic Literature Review,” Techno.Com, vol. 21, no. 1, pp. 139–148, Feb. 2022, doi: 10.33633/tc.v21i1.5659.
