Analisa Efektivitas Pendekatan Fuzzy dalam Pengambilan Keputusan pada Manajemen Rantai Pasok Industri Jasa

Authors

  • Victoria Elnathan Symphony Universitas Bina Nusantara, Bekasi, Indonesia
  • Achmad Fauzi Universitas Bina Nusantara, Bekasi, Indonesia
  • Syifa Alodia Yahya Universitas Bina Nusantara, Bekasi, Indonesia
  • Nadya Kharisma Arisanti Universitas Bina Nusantara, Bekasi, Indonesia
  • Henny Fince Manufandu Universitas Bina Nusantara, Bekasi, Indonesia
  • Shilva Crusita Universitas Bina Nusantara, Bekasi, Indonesia
  • Gabriel Helena Sumadi Universitas Bina Nusantara, Bekasi, Indonesia

DOI:

https://doi.org/10.38035/jim.v3i2.556

Keywords:

Pendekatan Fuzzy, Pengambilan Keputusan, Manajemen Rantai Pasok, Industri Jasa

Abstract

Penelitian ini bertujuan untuk menginvestigasi dan menganalisa efektivitas pendekatan fuzzy dalam pembuatan keputusan manajemen rantai pasok pada perusahaan jasa. Penggunaan metode kualitatif mempermudah peneliti dalam mengoleksi data penelitian sebelumnya secara sistematis dan membandingkan setiap data untuk mengambil kesimpulan. Fuzzy AHP, fuzzy TOPSIS, fuzzy VIKOR, fuzzy FTA, fuzzy MCDM, fuzzy AHP - grey theory, dan fuzzy Logic - ANN, merupakan pendekatan yang akan dibahas dalam penelitian berikut. Ditemukan bahwa pendekatan fuzzy belum efektif dalam implementasinya di manajemen rantai pasok industri jasa, karena pendekatan fuzzy masih mengandung kompleksitas dan subjektivitas bila penilainya memasukan data yang subjektif. Penelitian ini dapat dijadikan pertimbangan untuk memilih metode fuzzy yang tepat dalam pengambilan keputusan rantai pasok bisnis jasa. 

References

Ambarwati, R., Ayomi, N., Abadi, A. M. (2017). Fuzzy Decision Making dalam Pemilihan Hotel di Kabupaten Klaten. ISBN: 978-602-73403-3-6

Boži?, V. (2023). Fuzzy Approach to Risk Management: Enhancing Decision-Making Under Uncertainty. Generral hospital Koprivnica, Croatia. DOI:10.13140/RG.2.2.13517.82405 .

Chatra, M. A. P., et. al. (2023). Manajemen Rantai Pasok. PT Sonpedia Publishing Indonesia. pg. 3-4.

Fradinata, E. (2022). Pesanan Pembelian Dalam Rantai Pasok. Syiah Kuala University Press. pg. 29.

Hu, J., Chen, C., & Zhu, K. (2021). Application of Data Mining Combined with Fuzzy Multicriteria Decision-Making in Credit Risk Assessment from Legal Service Companies. Mathematical Problems in Engineering, 2021, 1–10. https://doi.org/10.1155/2021/2499948

Indarwati, T. (2021). Teknik Pengambilan Keputusan pada Pemilihan Supplier A Literature Review. Program Studi Teknik Industri, Fakultas Rekayasa Industri dan Desain, Institut Teknologi Telkom Purwokerto. Abstrak, 274-276.

Lu K., Liao H., Zavadskas E. K. (2021). An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications, and Future Directions, 27 (2), 402-458. DOI:10.3846/tede.2021.14433

Kahraman, C., Keshavarz Ghorabaee, M., Zavadskas, E. K., Cevik Onar, S., Yazdani, M., & Oztaysi, B. (2019). Intuitionistic Fuzzy EDAS Method: An Application to Solid Waste Disposal Plant Site Selection.

Kumar, D., Singh, J., Singh, O. P., & Seema, N. (2013). A fuzzy logic based decision support system for evaluation of suppliers in supply chain management practices. Mathematical and Computer Modelling, 57(11–12), 2945–2960. https://doi.org/10.1016/j.mcm.2013.03.002

Litvaj, I., dkk. (2022). Decision-Making Procedures and Their Relation to Knowledge Management and Quality Management. MDPI, 14 (1). Abstract - Introduction. DOI: https://doi.org/10.3390/su14010572 . https://www.mdpi.com/2071-1050/14/1/572

Lu, K., et al. (2021). An Overview of Fuzzy Techniques in Supply Chain Management; Bibliometrics, Methodologies, Applications, and Future Directions. Technological and Economic Development of Economy, 27 (2). pg 408 and 411.

Meilinda, S. Sutapa, I. N. (2019). Analisis Risiko Keamanan Rantai Pasok di Perusahaan Jasa Ekspedisi Sebagai Dasar Penerapan ISO 28000. Jurnal Titra, 7 (2). 201. https://publication.petra.ac.id/index.php/teknik-industri/article/view/8969/8093

Miranda, M. et al (2020). An application of fuzzy analytic hierarchy process in a university teaching hospital. Independent Journal of Management & Production. DOI:10.14807/ijmp.v11i7.1147

Muhamediyeva, D. T. (2022). Building and training a fuzzy neural model of data mining tasks. In Journal of Physics: Conference Series, 2182, (1). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/2182/1/012024/pdf

Mutiarani, R. (2022). Analisis Kegagalan Operasional Sistem Chiller Menggunakan Metode Fault Tree Analysis (FTA). Jurnal Analisis Keandalan dan Resiko. Analisis Kegagalan Operasional Sistem Chiller Menggunakan Metode Fault Tree Analysis (FTA) | rizky mutiarani - Academia.edu

Morteza, Y., Pascale, Z., dkk. (2017). A group decision making support system in logistics and supply chain management. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957417417304840

Paksoy, T., Kochan, C. G., Ali, S. S. (Editor). (2020). Logistics 4.0: Digital Transformation of Supply Chain Management. boca raton: CRC Press.

Parjono Parjono. (2021). Sistem Pendukung Keputusan Penerimaan Karyawan Dengan Metode Fuzzy Mamdani Berbasis WEB (Studi Kasus Pada PT. Time Excelindo Yogyakarta). http://ejournal.lppm-unbaja.ac.id/indexA hybrid multi-criteria decision approach to analyze key factors affecting sustainability in supply chain networks of manufacturing organizations.php/saintek/article/view/1514

Pradana, D. A., Saputra, J. J., & Gunawan, A. A. (2022). Pengaruh Ketidakpastian Permintaan dan Ketersediaan Bahan Baku Terhadap Keputusan Agregat Produksi Pada Industri Makanan Dan Minuman. Jurnal Manajemen dan Kewirausahaan, 24(1), 1-12.

Pontes, F. A., Schukat, M., & Curry, E. (2023). Fuzzy vs. crisp in uncertainty-aware service selection: Enabling sustainability on multimedia event processing. 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1–7. https://doi.org/10.1109/fuzz52849.2023.10309809

Pourjavad, E., & Shahin, A. (2020). A hybrid model for analyzing the risks of green supply chain in a fuzzy environment. Journal of Industrial and Production Engineering, 37(8), 422–433. https://doi.org/10.1080/21681015.2020.1833995

Sharma R. K., dkk. (2020). A Hybrid Multi-Criteria Decision Approach to Analyze Key Factors Affecting Sustainability in Supply Chain Networks of Manufacturing Organizations. Clean Techn Environ Policy 22, 1871–1889. https://doi.org/10.1007/s10098-020-01926-8

Terttiaavini & Ermatita. (2022). Sistem Penilaian Kinerja Dosen menggunakan Decision Maker Respondent Opinion Model. Jurnal Ilmiah Informatika Global, 13 (1). Abstrak. https://ejournal.uigm.ac.id/index.php/IG/article/view/2041/1547

Selçuk Perçin. (2018). Evaluating airline service quality using a combined fuzzy decision-making approach. https://www.sciencedirect.com/science/article/abs/pii/S0969699717300339

Serrano-Guerrero, J., Romero, F. P., & Olivas, J. A. (2021). Fuzzy logic applied to opinion mining: A review. Knowledge-based Systems, 222, 107018. https://doi.org/10.1016/j.knosys.2021.107018

Sutrisno, A., Setyaningsih E. R., Sugiono J. P. (2019). Sistem Pendukung Keputusan Pemilihan Penerima Beasiswa di Madrasah Menggunakan Fuzzy AHP. https://ejournal.itn.ac.id/index.php/mnemonic/article/view/2258/1962

Virdiandry, P. & Dani, L. S. (2020). Penentuan Jasa Logistik Pada Umkm Kota Cimahi Menggunakan Metode Fuzzy Simple Additive Weighting. Available at: https://proceeding.unindra.ac.id/index.php/semnasristek/article/download/2489/244

Yan Liu, Claudia M. Eckert, & Christopher Earl. (2020). A review of fuzzy AHP methods for decision-making with subjective judgements. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957417420305625

Zhou, Y. et al. (2022). Review on Millimeter-Wave Radar and Camera Fusion Technology. MDPI. pg. 22. https://www.mdpi.com/2071-1050/14/9/5114Application of Entropy – TOPSIS Method in Service Quality Assessment

Wang, T.C., Nguyen T. T. (2024) Application of Entropy – TOPSIS Method in Service Quality Assessment. Genetic and Evolutionary Computing, 2. Pg 429 - 437. Application of Entropy – TOPSIS Method in Service Quality Assessment | SpringerLink

Warkim., Sensuse, D. I. (2017). Model Integrasi Sistem dengan Pendekatan Metode Service Oriented Architecture dan Model View Controller pada Pusat Penelitian Perkembangan Iptek Lembaga Ilmu Pengetahuan Indonesia. Jurnal Teknik Informatika dan Sistem Informasi , 3 (1). https://media.neliti.com/media/publications/133802-ID-model-integrasi-sistem-dengan-pendekatan.pdf

Published

2024-07-07

How to Cite

Symphony, V. E., Fauzi, A., Alodia Yahya, S., Kharisma Arisanti, N., Fince Manufandu, H., Crusita, S., & Helena Sumadi, G. (2024). Analisa Efektivitas Pendekatan Fuzzy dalam Pengambilan Keputusan pada Manajemen Rantai Pasok Industri Jasa. Jurnal Ilmu Multidisplin, 3(2), 93–105. https://doi.org/10.38035/jim.v3i2.556

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