Implementation of Fuzzy Sugeno in the Analysis of the Availability of Split Stone

Ari Anshari Yuliansyah Siregar; Sriani Sriani

doi:10.47065/josh.v6i1.5982

Ari Anshari Yuliansyah Siregar * State Islamic University of North Sumatra, Deli Serdang, Indonesia
Sriani Sriani State Islamic University of North Sumatra, Deli Serdang, Indonesia

(*) Corresponding Author

DOI: https://doi.org/10.47065/josh.v6i1.5982

Keywords: Fuzzy Logic; Sugeno; Split Stone; Availability

Abstract

The development of companies in the industrial sector continues to grow every where. So the level of competition is competitive more increasing. But due to consumer demand that changes, making it a problem serious at the company PT Dexton Mulia Wisesa. especially the demand for split stone. To overcome this problem, a optimization in production quantities so that this does not happen production shortages or excess goods available causing the company to lose. Optimization is possible done by implementing Sugeno fuzzy logic. Sugeno's selection of fuzzy logic is for produce a capable system model estimate the amount of crushed stone inventory. Results from research conducted in July 2023 until June 2024 obtain mape value amounting to 28% and is included in the reasonable category. So it is hoped that in the future, this company can optimize the need for split stone in production.

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References

H. Rudiawan, K. Kunci, and M. Produksi, “Peranan Manajemen Produksi dalam Menyelaraskan Kinerja Perusahaan,” J. Manaj. FE-UB, vol. 9, no. 2, p. 66, 2021.

F. Firnawaty, H. Ashad, and A. Karim Hadi, “Penentuan Pemenang Kontrak Kontruksi dengan Metode Penugasan (Assignment Model) pada Proyek Konstruksi Jalan,” J. Flyover, vol. 01, no. 02, pp. 28–37, 2021.

K. Anuar, H. Herisiswanto, and A. Fahrizqa, “Study of Vibrating Screen Machine Damage in Stone Crusher and Its Effect on Production Loss in Cement Factory,” Motiv. J. Mech. Electr. Ind. Eng., vol. 5, no. 1, pp. 75–84, 2022, doi: 10.46574/motivection.v5i1.133.

N. K. Budiartami and I. W. K. Wijaya, “Analisis Pengendalian Proses Produksi Untuk Meningkatkan Kualitas Produk Pada CV. Cok Konveksi di Denpasar,” J. Manaj. dan Bisnis Equilib., vol. 5, no. 2, pp. 161–166, 2019, doi: 10.47329/jurnal_mbe.v5i2.340.

M. A. Hafiz and Sriani, “Penerapan Logika Fuzzy Sugeno Untuk Optimasi Stok Biji Kopi Pada Kafe Rooster,” J. FASILKOM, vol. 13, no. 02, pp. 165–172, 2023, doi: 10.37859/jf.v13i02.5460.

B. Davvaz, I. Mukhlash, and S. Soleha, “Himpunan Fuzzy dan Rough Sets,” Limits J. Math. Its Appl., vol. 18, no. 1, p. 79, 2021, doi: 10.12962/limits.v18i1.7705.

A. K. Nisa, M. Abdy, and A. Zaki, “Penerapan Fuzzy Logic untuk Menentukan Minuman Susu Kemasan Terbaik dalam Pengoptimalan Gizi,” J. Math. Comput. Stat., vol. 3, no. 1, p. 51, 2020, doi: 10.35580/jmathcos.v3i1.19902.

U. Athiyah, A. P. Handayani, M. Y. Aldean, N. P. Putra, and R. Ramadhani, “Sistem Inferensi Fuzzy: Pengertian, Penerapan, dan Manfaatnya,” J. Dinda Data Sci. Inf. Technol. Data Anal., vol. 1, no. 2, pp. 73–76, 2021, doi: 10.20895/dinda.v1i2.201.

R. Rahmawati, N. Nurjannah, A. N. Rahma, and Z. Zukrianto, “Penerapan Fuzzy Inference System Sugeno Dalam Menentukan Penyaluran Pembiayaan Rahn,” Math Educ. J., vol. 5, no. 2, pp. 175–182, 2021, doi: 10.15548/mej.v5i2.2547.

M. M. F. Fatori, “Aplikasi IoT Pada Sistem Kontrol dan Monitoring Tanaman Hidroponik,” J. Pendidik. Sains dan Komput., vol. 2, no. 02, pp. 350–356, 2022, doi: 10.47709/jpsk.v2i02.1746.

A. Atina, “Aplikasi Matlab pada Teknologi Pencitraan Medis,” J. Penelit. Fis. dan Ter., vol. 1, no. 1, p. 28, 2019, doi: 10.31851/jupiter.v1i1.3123.

R. Rizky et al., “Penerapa Metode Fuzzy Sugeno Untuk pengukuran Keakuratan Jarak Pada Pintu Otomatis di CV Bejo Perkasa,” J. Tek. Inform. Unika St. Thomas, vol. 05 Nomor 0, no. ISSN: 2548-1916, e-ISSN: 2657-1501, pp. 33–42, 2020.

M. Al Amin and D. Juniati, “Math Unesa,” J. Ilm. Mat., vol. 9, no. 2, pp. 437–446, 2021.

S. Hansen, “Investigasi Teknik Wawancara dalam Penelitian Kualitatif Manajemen Konstruksi,” J. Tek. Sipil, vol. 27, no. 3, p. 283, 2020, doi: 10.5614/jts.2020.27.3.10.

A. Burhanuddin, “Analisis Komparatif Inferensi Fuzzy Tsukamoto, Mamdani dan Sugeno Terhadap Produktivitas Padi di Indonesia,” LEDGER J. Inform. Inf. Technol., vol. 2, no. 1, pp. 48–57, 2023.

M. M. Mardhalena and N. D. Nathasia, “Parking Sensor System Untuk Mendeteksi Jarak Aman Kendaraan Menggunakan Sensor Ultrasonic Berbasis Arduino Uno Atmega328,” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 7, no. 4, pp. 1391–1400, 2022, doi: 10.29100/jipi.v7i4.3888.

D. P. P. Astuti and Mashuri, “Penerapan Metode Fuzzy Tsukamoto dan Fuzzy Sugeno Dalam Penentuan Harga Jual Sepeda Motor,” UNNES J. Math., vol. 1, no. 2252, pp. 75–84, 2020.

I. Muhandhis, A. S. Ritonga, and M. H. Murdani, “Implementasi Metode Inferensi Fuzzy Tsukamoto Untuk Memprediksi Curah Hujan Dasarian Di Sumenep,” J. Ilm. Edutic Pendidik. dan Inform., vol. 8, no. 1, pp. 01–10, 2021, doi: 10.21107/edutic.v8i1.8907.

R. P. Nugroho, B. D. Setiawan, and M. T. Furqon, “Penerapan Metode Fuzzy Tsukamoto untuk Menentukan Harga Sewa Hotel ( Studi Kasus : Gili Amor Boutique Resort , Dusun Gili Trawangan , Nusa Tenggara Barat ),” J. Pengemb. Teknol. lnformasi dan llmu Komput., vol. 3, no. 3, pp. 2581–2588, 2019.

R. Bakri, A. N. Rahma, I. Suryani, and Y. Sari, “Penerapan Logika Fuzzy Dalam Menentukan Jumlah Peserta Bpjs Kesehatan Menggunakan Fuzzy Inference System Sugeno,” J. Lebesgue J. Ilm. Pendidik. Mat. Mat. dan Stat., vol. 1, no. 3, pp. 182–192, 2020, doi: 10.46306/lb.v1i3.38.

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