Application of The Fuzzy Tsukamoto Method in Determining Household Industry Products

Authors

  • Nadra Savira Pasaribu STIKOM Tunas Bangsa Pematangsiantar, North Sumatra
  • Jata Tata Hardinata STIKOM Tunas Bangsa Pematangsiantar, North Sumatra
  • Hendry Qurniawan STIKOM Tunas Bangsa Pematangsiantar, North Sumatra

Keywords:

Production, Home industry, fuzzy tsukamoto, decision support system

Abstract

Production system at UD. Mie Akwang is a home industry that provides raw materials for noodle production. Uncertain consumer demand and supplies that are not in accordance with demand make it difficult for this industry to determine the amount of production that will be produced. Previously, this home industry did not have a valid rule to determine the amount of production that must be achieved. Therefore, a decision support system was developed using the Fuzzy Tsukamoto method. This method is the right method in making decisions that use several criteria to produce decisions on the amount of production. In this study, the data used is in the form of data on the amount of production in April 2021. From the calculation process that has been carried out, it can be concluded that if the demand is 28,950 portions and the supply is 30,000 portions, the total production produced is 31,207 portions. The results of these calculations are implemented in the form of a production system and the results obtained are the same, namely 31,207 portions.

References

S. Suseno and S. H. Wibowo, “Penentuan Kapasitas Produksi Menggunakan Metode Fuzzy Inference System-Tsukamoto,” J. Rekayasa Ind., vol. 1, no. 1, 2019, doi: 10.37631/jri.v1i1.59.

L. L. Van FC, F. Fajrizal, and Y. Darmayunata, “Analisis Pengaruh Media Sosial Pada Masa Pandemi Covid-19 Terhadap Pembelajaran Mahasiswa Menggunakan Metode Fuzzy Logic,” INOVTEK Polbeng - Seri Inform., vol. 6, no. 1, p. 155, 2021, doi: 10.35314/isi.v6i1.1838.

W. Priatna and R. Purnomo, “Implementasi Fuzzy Inference System Metode Sugeno Pada Aplikasi Penilaian Kinerja Dosen,” Techno.Com, vol. 19, no. 3, pp. 245–261, 2020, doi: 10.33633/tc.v19i3.3638.

T. Sinta, J. Nugroho, L. Linawati, and T. Mahatma, “International Journal of Active Learning Analysis of Lecturers Competency Performance Evaluation using Fuzzy Modeling,” vol. 4, no. 2, pp. 99–113, 2019.

H. Hasanzadeh and J. Majidpour, “Application of fuzzy logic in order to plan and create software for converting sound to text,” Bull. Electr. Eng. Informatics, vol. 9, no. 3, pp. 1127–1136, 2020, doi: 10.11591/eei.v9i3.1723.

A. M. H. Pardede et al., “Decision Support System for Deciding Eligible Journals to be Published in Majalah Kedokteran Nusantara Using the Fuzzy Logic Method,” in Journal of Physics: Conference Series, 2019, vol. 1363, no. 1, doi: 10.1088/1742-6596/1363/1/012081.

R. Dulmin and V. Mininno, A Fuzzy Logic Approach to Improve Manufacturing Effectiveness. 2003.

A. Bahroini, A. Farmadi, and R. Nugroho, “PREDIKSI PERMINTAAN PRODUK MIE INSTAN DENGAN METODE FUZZY TAKAGI-SUGENO,” KLIK - Kumpul. J. ILMU Komput., vol. 3, p. 220, Oct. 2016, doi: 10.20527/klik.v3i2.62.

S. Batubara, “Analisis Perbandingan Metode Fuzzy Mamdani Dan Fuzzy Sugeno Untuk Penentuan Kualitas Cor Beton Instan,” It J. Res. Dev., vol. 2, no. 1, pp. 1–11, 2017, doi: 10.25299/itjrd.2017.vol2(1).644.

S. Sitohang and R. Denson Napitupulu, “Fuzzy Logic Untuk Menentukan Penjualan Rumah Dengan Metode Mamdani (Studi Kasus: Pt Gracia Herald),” J. ISD, vol. 2, no. 2, pp. 91–101, 2017.

F. Ariani and R. Y. Endra, “Implementation of Fuzzy Inference System with Tsukamoto Method for Study Progamme Selection,” 2nd Int. Conf. Eng. Technol. Dev., no. Icetd, pp. 189–200, 2013.

A. Primanita and F. Muliawan, “Fuzzy Logic Implementation on Enemy Speed Control to Raise Player Engagement,” pp. 119–123, 2014.

T. Komputer, S. Dian, C. Cendikia, J. Negara, and K. Lampung, “Perbandingan Metode Fuzzy Inferensi Tsukamoto Dan,” vol. 12, no. 2, pp. 45–50, 2018.

D. R. Setiawan, K. Kustanto, and Y. R. W. Utami, “Penentuan Jumlah Produksi Baju Batik Di Batik Merak Manis Dengan Metode Fuzzy Mamdani,” J. Teknol. Inf. dan Komun., vol. 7, no. 1, pp. 42–48, 2019, doi: 10.30646/tikomsin.v7i1.417.

D. A. N. Wulandari and A. Prasetyo, “Sistem Penunjang Keputusan Untuk Menentukan Status Gizi Balita Menggunakan Metode Fuzzy Tsukamoto,” J. Inform., vol. 5, no. 1, pp. 22–33, 2018, doi: 10.31311/ji.v5i1.2440.

“IMPLEMENTASI PENGENDALIAN LAMPU OTOMATIS BERBASIS ARDUINO MENGGUNAKAN METODE FUZZY LOGIC,” J. Penelit. Tek. Inform. Univ. Malikussaleh, 2017.

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Published

2021-10-14

How to Cite

Pasaribu, N. S. ., Hardinata, J. T. ., & Qurniawan, H. . (2021). Application of The Fuzzy Tsukamoto Method in Determining Household Industry Products. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 1(1), 71–75. Retrieved from https://ioinformatic.org/index.php/JAIEA/article/view/57