Penerapan Interpretive Structural Modeling untuk Perancangan Kebijakan Persediaan (Studi Kasus Material Polysulfide Sealant pada PT Dirgantara Indonesia (Persero))

Fhirra Adinda; Iphov Kumala Sriwana

doi:10.47134/aero.v1i2.2483

Authors

Fhirra Adinda Universitas Telkom
Iphov Kumala Sriwana Universitas Telkom

DOI:

https://doi.org/10.47134/aero.v1i2.2483

Keywords:

Kebijakan Persediaan, Polysulfide Sealant, PT Dirgantara Indonesia, Interpretive Structural Modeling (ISM)

Abstract

Penelitian ini bertujuan untuk analisis perancangan kebijakan persediaan material polysulfide sealant di PT Dirgantara Indonesia (Persero) menggunakan metode Interpretive Structural Modeling (ISM). Masalah utama yang dihadapi perusahaan adalah ketidaksesuaian antara target dan stok aktual yang menyebabkan peningkatan biaya penyimpanan dan risiko kadaluwarsa material. Penelitian ini mengidentifikasi faktor-faktor yang mempengaruhi kebijakan persediaan, termasuk material kadaluwarsa, komunikasi antar divisi, sistem pemantau persediaan, tingkat persediaan dan pola pemesanan, serta permintaan. Data dikumpulkan melalui wawancara dengan pegawai divisi material planner. Hasil analisis ISM menunjukkan struktur hubungan antar faktor yang membantu dalam perancangan kebijakan persediaan yang lebih efisien. Implementasi ISM diharapkan dapat meningkatkan efisiensi manajemen persediaan dan mengurangi biaya operasional.

References

Agrawal, P. (2023). Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach. International Journal of Productivity and Performance Management, 72(2), 410–439. https://doi.org/10.1108/IJPPM-09-2020-0481 DOI: https://doi.org/10.1108/IJPPM-09-2020-0481

Ali, S. M. (2022). Reducing plastic pollutants through catalyzing consumer roles: A novel application of fuzzy total interpretive structural modeling. Journal of Cleaner Production, 335. https://doi.org/10.1016/j.jclepro.2021.130327 DOI: https://doi.org/10.1016/j.jclepro.2021.130327

Attiany, M. S. (2023). Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling. Uncertain Supply Chain Management, 11(1), 299–306. https://doi.org/10.5267/j.uscm.2022.9.013 DOI: https://doi.org/10.5267/j.uscm.2022.9.013

Anggelina, M., Rosyidah, U., & Setyawati, A. (2023). Analisis Kemampuan Siswa Menyelesaikan Soal Matematika dalam Bentuk Soal Cerita pada Siswa Kelas X SMK Negeri 1 Pekalongan. Jurnal Ilmiah Matematika Realistik, 4(1), 89–95.

Arsiwi, Pramudi., Wahyu Adi, Prajanto. (2020). Interpretive Structural Modelling Untuk Meningkatkan Daya Saing Rantai Pasok UKM Mina Indo Sejahtera. Jurnal Penelitian dan Aplikasi Sistem & Teknik Industri (PASTI), Vol. XIV, No. 1. DOI: https://doi.org/10.22441/pasti.2020.v14i1.003

Chen, T. (2022). Analysis of the barriers to implementing building integrated photovoltaics in Singapore using an interpretive structural modelling approach. Journal of Cleaner Production, 365. https://doi.org/10.1016/j.jclepro.2022.132652 DOI: https://doi.org/10.1016/j.jclepro.2022.132652

Kumar, R. (2022). Exploring the Domain of Interpretive Structural Modelling (ISM) for Sustainable Future Panorama: A Bibliometric and Content Analysis. Archives of Computational Methods in Engineering, 29(5), 2781–2810. https://doi.org/10.1007/s11831-021-09675-7 DOI: https://doi.org/10.1007/s11831-021-09675-7

Karamoy, W. Y. R., Jan, A. B. H., & Karuntu, M. M. (2022). Analisis Persediaan Bahan Baku Pada Moy Restaurant Tonsaru Tondano di Era Pandemi Covid-19. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 10(1), 510–517.

Kumar, Dinesh. (2015). Modelling Hospital Inventory Management Using Interpretive Structural Modelling Approach. Int. J. Logistics Systems and Management, Vol. 21, No.3. DOI: https://doi.org/10.1504/IJLSM.2015.069730

Limantoro, C., Andi, A., & Rahardjo, J. (2023). Analisa Faktor Cost Overruns dengan Metode Interpretive Structural Modelling pada Beberapa Proyek Konstruksi di Indonesia. Dimensi Utama Teknik Sipil, 10(1), 20–37. DOI: https://doi.org/10.9744/duts.10.1.20-37

Nadirah, S. P., Pramana, A. D. R., & Zari, N. (2022). metodologi penelitian kualitatif, kuantitatif, mix method (mengelola Penelitian Dengan Mendeley dan Nvivo). CV. Azka Pustaka.

Nur, A. L. P. (2022). Analisis Kebutuhan Air Bersih pada Masyarakat Pulau Barrang Caddi Kota Makassar Menggunakan Metode Interpretive Structural Modelling. Universitas Hasanuddin.

Oluleye, B. I. (2022). Barriers to circular economy adoption and concomitant implementation strategies in building construction and demolition waste management: A PRISMA and interpretive structural modeling approach. Habitat International, 126. https://doi.org/10.1016/j.habitatint.2022.102615 DOI: https://doi.org/10.1016/j.habitatint.2022.102615

Onososen, A. (2022). Barriers to BIM-Based Life Cycle Sustainability Assessment for Buildings: An Interpretive Structural Modelling Approach. Buildings, 12(3). https://doi.org/10.3390/buildings12030324 DOI: https://doi.org/10.3390/buildings12030324

Palit, T. (2022). An integrated Principal Component Analysis and Interpretive Structural Modeling approach for electric vehicle adoption decisions in sustainable transportation systems. Decision Analytics Journal, 4. https://doi.org/10.1016/j.dajour.2022.100119 DOI: https://doi.org/10.1016/j.dajour.2022.100119

Pfohl, Hans-Christian., Gallus, Philipp., Thomas, David. (2011). Interpretive Structural Modeling of Supply Chain Risks. International Journal of Physical Distribution & Logistics Management, Vol. 41, No.9. DOI: https://doi.org/10.1108/09600031111175816

Purba, J. J. (2023). Analisis Dampak Kebijakan Pemerintah dalam Penetapan Harga Minyak Goreng Curah Terhadap Pelaku Usaha Mikro Kecil dan Menengah Kota Medan pada Masa Pandemi Covid-19.

Rana, N. P. (2022). Analysis of challenges for blockchain adoption within the Indian public sector: an interpretive structural modelling approach. Information Technology and People, 35(2), 548–576. https://doi.org/10.1108/ITP-07-2020-0460 DOI: https://doi.org/10.1108/ITP-07-2020-0460

Restantiano, N., Karimah, A.-N. Y., & Firmansyah, A. (2020). Penerapan Kebijakan Persediaan pada Perusahaan Yang Melakukan Perdagangan Barang Impor di Indonesia. Bisnis-Net Jurnal Ekonomi Dan Bisnis, 3(2), 135–147. DOI: https://doi.org/10.46576/bn.v3i2.1003

Riswanto, A., Joko, J., Boari, Y., Taufik, M. Z., Irianto, I., Farid, A., Yusuf, A., Hina, H. B., Kurniati, Y., & Karuru, P. (2023). Metodologi Penelitian Ilmiah: Panduan Praktis Untuk Penelitian Berkualitas. PT. Sonpedia Publishing Indonesia.

Shrivas, A. (2022). Analysis of interaction among the factors affecting delay in construction projects using interpretive structural modelling approach. International Journal of Construction Management, 22(8), 1455–1463. https://doi.org/10.1080/15623599.2020.1728486 DOI: https://doi.org/10.1080/15623599.2020.1728486

Singh, S. (2022). Modified total interpretive structural modelling of innovation implementation antecedents. International Journal of Productivity and Performance Management, 71(4), 1515–1536. https://doi.org/10.1108/IJPPM-05-2020-0239 DOI: https://doi.org/10.1108/IJPPM-05-2020-0239

Syamil, A., Subawa, S., Budaya, I., Munizu, M., Darmayanti, N. L., Fahmi, M. A., Wanda, S. S., Murwani, I. A., Utami, F. N., & Dulame, I. M. (2023). Manajemen Rantai Pasok. PT. Sonpedia Publishing Indonesia.

Slamet Rusydiana, Aam. (2018). Aplikasi Interpretive Structural Modeling Untuk Strategi Pengembangan Wakaf Tunai di Indonesia. Jurnal Ekonomi dan Bisnis Islam, Vol. 4, No.1. DOI: https://doi.org/10.20473/jebis.v4i1.9771

Ulfatin, N. (2022). Metode penelitian kualitatif di bidang pendidikan: Teori dan Aplikasinya. Media Nusa Creative (MNC Publishing).