Analysis of Supply Chain Performance Improvement in the Fish Processing Industry

Panji Wira Manggala, Machfud Machfud, Illah Sailah

Abstract


Abstract

This study aims to identify the supply chain condition of the red snapper fish processing industry, assess the supply chain performance, and recommend performance improvements based on the performance measurement results. The study was conducted in Brondong District, Lamongan Regency, East Java, Indonesia. The methods used are the Supply Chain Operations Reference (SCOR) model and the Analytical Hierarchy Process (AHP), which measure effectiveness and efficiency parameters. Data were collected through interviews and field observations with expert respondents representing fishermen, collectors, and the fish processing industry. The results showed that the supply chain performance of the fishermen, collectors, and fish processing industry was 67.52% (poor), 88.11% (average), and 95.09% (excellent). The low performance was mainly in the fish catch composition accuracy and raw material handling practices. Root cause analysis was conducted to identify the leading causes, such as poor raw material quality, high raw material costs, and low cash-to-cash cycle time. Recommendations for improvement include handling raw materials training, using better cooling technology, and accelerating debt payments. Implementing lean supply chain management with the 5S system will improve operational efficiency and final product quality. Support from all stakeholders and government is essential for successfully implementing this strategy. Further study on the impact of lean implementation on environmental and social sustainability and exploration of new technologies for efficient fish handling and processing is needed.

Keywords: AHP, lean supply chain, red snapper, SCOR, supply chain performance

 

Abstrak

Penelitian ini bertujuan untuk mengidentifikasi kondisi rantai pasok industri pengolahan ikan kakap merah, menilai kinerja rantai pasok, dan merekomendasikan perbaikan kinerja berdasarkan hasil pengukuran kinerja. Penelitian dilakukan di Kecamatan Brondong, Kabupaten Lamongan, Jawa Timur, Indonesia. Metode yang digunakan adalah model Supply Chain Operations Reference (SCOR) dan Analytical Hierarchy Process (AHP) yang mengukur parameter efektivitas dan efisiensi. Data dikumpulkan melalui wawancara dan observasi lapangan dengan responden pakar yang mewakili nelayan, pengepul, dan industri pengolahan ikan. Hasil penelitian menunjukkan kinerja rantai nelayan, pengepul dan industri pengolah ikan berturut-turut adalah 67,52% (sangat kurang), 88,11% (sedang), dan 95,09% (sangat baik). Kinerja yang rendah terutama pada ketepatan jenis ikan dan penanganan bahan baku. Analisis akar masalah dilakukan untuk mengidentifikasi penyebab utama, seperti kualitas bahan baku rendah, biaya bahan baku tinggi, dan siklus kas-ke-kas lama. Rekomendasi perbaikan mencakup pelatihan penanganan bahan baku, penggunaan teknologi pendinginan yang lebih baik, dan percepatan pembayaran utang. Implementasi lean supply chain management dengan metode 5R diharapkan meningkatkan efisiensi operasional dan kualitas produk akhir. Dukungan dari semua pemangku kepentingan dan pemerintah sangat penting untuk keberhasilan penerapan strategi ini. Penelitian ini menyarankan kajian lebih lanjut tentang dampak implementasi lean terhadap keberlanjutan lingkungan dan sosial dan eksplorasi teknologi baru untuk efisiensi penanganan dan pengolahan ikan.

Kata kunci: AHP, ikan kakap merah, kinerja rantai pasok, lean supply chain, SCOR


Keywords


Analytical Hierarchy Process, Fish Processing Industry, Lean Supply Chain Management, Red Snapper

Full Text:

PDF

References


Afianto, A. T., . S., & Udin, F. (2019). Performance analysis of the soybean agroindustry supply chain. International Journal of Engineering and Management Research, 9(2), 18–23. https://doi.org/10.31033/ijemr.9.2.2

APICS. (2017). Supply Chain Operations Reference Model SCOR Version 12.0. Association for Supply Chain Management.

Azhar, M., Suhartoyo, S., Suharso, P., Herawati, V. E., & Trihastuti, N. (2018). Prospect on implementation of national fish logistics system: case in Indonesia. In N. A. Prayogo & A. Amron (Eds.), E3S Web of Conferences (Vol. 47, p. 06009). https://doi.org/10.1051/e3sconf/20184706009

Batubara, S. C., Maarif, M. S., Marimin, ., & Irianto, H. E. (2017). Model manajemen rantai pasok industri perikanan tangkap berkelanjutan di Propinsi Maluku. Marine Fisheries : Jurnal Teknologi Dan Manajemen Perikanan Laut, 8(2), 137–148. https://doi.org/10.29244/jmf.8.2.137-148

Bedane, T. D., Agga, G. E., & Gutema, F. D. (2022). Hygienic assessment of fish handling practices along production and supply chain and its public health implications in Central Oromia, Ethiopia. Scientific Reports, 12(1), 13910. https://doi.org/10.1038/s41598-022-17671-5

Caniato, F., Gelsomino, L. M., Perego, A., & Ronchi, S. (2016). Does finance solve the supply chain financing problem? Supply Chain Management: An International Journal, 21(5), 534–549. https://doi.org/10.1108/SCM-11-2015-0436

CBI. (2020). The European Market Potential for Reef Fish. Centre for the Promotion of Imports (CBI). https://www.cbi.eu/market-information/fish-seafood/reef-fish/market-potential

Celina, J. S., Kusumawardani, D. M., & Fathoni, M. Y. (2022). Evaluasi kinerja rantai pasok Perpustakaan Institut Teknologi Telkom Purwokerto menggunakan supply chain operational reference (scor) model berbasis objective matrix (omax). JURIKOM (Jurnal Riset Komputer), 9(2), 296–304. https://doi.org/10.30865/jurikom.v9i2.4014

Chen, H., Liu, S., & Oderanti, F. (2017). A knowledge network and mobilisation framework for lean supply chain decisions in agri-food industry. International Journal of Decision Support System Technology, 9(4), 37–48. https://doi.org/10.4018/IJDSST.2017100103

Colgan, C., Adam, G., & Topolansky, F. (2013). Why try Lean? A Northumbrian Farm case study. International Journal of Agricultural Management, 2(3), 170–181. https://doi.org/10.5836/ijam/2013-03-06

Deswati, R. H., & Muhadjir. (2015). Dukungan aspek produksi dalam Sistem Logistik Ikan Nasional (SLIN) di Kota Kendari, Sulawesi Tenggara. Jurmal Sosial Ekonomi Kelautan Dan Perikanan, 10(2), 191–202. https://doi.org/10.15578/jsekp.v10i2.1259

Ebrahemzadih, M., H. Halvani, G., Shahmoradi, B., & Giahi, O. (2014). Assessment and risk management of potential hazards by failure modes and effect analysis (fmea) method in Yazd Steel Complex. Open Journal of Safety Science and Technology, 4(3), 127–135. https://doi.org/10.4236/ojsst.2014.43014

FAO. (2020). The State of World Fisheries and Aquaculture 2020. FAO. https://doi.org/10.4060/ca9229en

FAO. (2022). The State of World Fisheries and Aquaculture 2022. FAO. https://doi.org/10.4060/cc0461en

Gelsomino, L. M., Mangiaracina, R., Perego, A., & Tumino, A. (2016). Supply chain finance: Modelling a dynamic discounting programme. Journal of Advanced Management Science, 4(4), 283–291. https://doi.org/10.12720/joams.4.4.283-291

Ginantaka, A. (2017). Pengukuran kinerja rantai pasok komoditas ikan bandeng beku dengan pendekatan SCOR. Jurnal Pertanian, 8(2), 91–97. https://doi.org/10.30997/jp.v8i2.1054

Hayuningtyas, M., Marimin, & Yuliasih, I. (2020). Peningkatan kinerja, mitigasi risiko dan analisis kelembagaan pada rantai pasok cabai merah di Kabupaten Garut. Jurnal Teknologi Industri Pertanian, 3(1), 22–35. https://doi.org/10.24961/j.tek.ind.pert.2020.30.1.22

Hong, S.-J. (2015). Is Cash-to-Cash Cycle Appropriate to Measure Supply Chain Performance? In Toward Sustainable Operations of Supply Chain and Logistics Systems (pp. 21–36). Springer. https://doi.org/10.1007/978-3-319-19006-8_2

Hutapea, R. Y. F., Solihin, I., Nurani, T. W., Rosalia, A. A., & Putri, A. S. (2019). Strategi pengembangan Pelabuhan Perikanan Nizam Zachman dalam mendukung industri perikanan tuna. Jurnal Teknologi Perikanan Dan Kelautan, 10(2), 233–245. https://doi.org/10.24319/jtpk.10.233-245

ITC. (2020). List of Importing Markets for a Product Exported by Indonesia. Product: 03 Fish and Crustaceans, Molluscs and Other Aquatic Invertebrates. International Trade Centre. https://www.trademap.org/Country_SelProduct_TS.aspx?nvpm=1%7C%7C%7C%7C%7C03%7C%7C%7C2%7C1%7C1%7C2%7C2%7C1%7C2%7C1%7C1%7C1

Kang, J., Sun, L., Sun, H., & Wu, C. (2017). Risk assessment of floating offshore wind turbine based on correlation-FMEA. Ocean Engineering, 129, 382–388. https://doi.org/10.1016/j.oceaneng.2016.11.048

Kementerian Kelautan dan Perikanan. (2015). Peraturan Menteri Kelautan dan Perikanan Nomor 2/PERMEN-KP/2015 Tahun 2015 tentang Larangan Penggunaan Alat Penangkapan Ikan Pukat Hela (Trawls) dan Pukat Tarik (Seine Nets) di Wilayah Pengelolaan Perikanan Negara Republik Indonesia. Kementerian Kelautan dan Perikanan.

Kementerian Kelautan dan Perikanan. (2016). Peraturan Menteri Kelautan dan Perikanan Nomor 71/PERMEN-KP/2016 Tahun 2016 tentang Jalur Penangkapan Ikan dan Penempatan Alat Penangkapan Ikan di Wilayah Pengelolaan Perikanan Negara Republik Indonesia. Kementerian Kelautan dan Perikanan.

Kementerian Kelautan dan Perikanan. (2022). Laporan Kinerja Kementerian Kelautan dan Perikanan 2021. Kementerian Kelautan dan Perikanan.

Kutsenko, N. V., Chukhnin, V. A., Naumenko, A. N., & Filipenko, A. A. (2020). Influence of amateur and recreational fishing on the state of the aquatic biological resources in the Tsimlyansk reservoir. Водные Биоресурсы и Среда Обитания, 3(2), 49–55. https://doi.org/10.47921/2619-1024_2020_3_2_49

Ma, S., He, Y., Gu, R., & Li, S. (2021). Sustainable supply chain management considering technology investments and government intervention. Transportation Research Part E: Logistics and Transportation Review, 149, 102290. https://doi.org/10.1016/j.tre.2021.102290

Malik, A. A., Sahabuddin, S., Khairuddin, K., & Adawiyah, R. Al. (2021). Determination of clove extract anesthetic dosage in transportation activities of carp (Cyprinus carpio) supply chain. Industria: Jurnal Teknologi Dan Manajemen Agroindustri, 10(1), 50–58. https://doi.org/10.21776/ub.industria.2021.010.01.6

Mariza, N., Wicaksono, B., & Octavia, J. (2016). Kebijakan Percepatan Pembangun Industri Perikanan Nasional. Center for Public Policy Transformation.

Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2020). Purchasing and Supply Chain. Management (4th ed.). Cengage Learning.

Nimeh, H. A., Abdallah, A. B., & Sweis, R. (2018). Lean supply chain management practices and performance: Empirical evidence from manufacturing companies. International Journal of Supply Chain Management, 7(1), 1–15.

Nurulludin, Amri, K., & Lestari, P. (2019). Parameter populasi ikan kakap merah (Lutjanus malabaricus) di Perairan Laut Cina Selatan. Jurnal Kelautan Dan Perikanan Terapan (JKPT), 2(1), 41–47. https://doi.org/10.15578/jkpt.v2i1.7407

Omogbai, O., & Salonitis, K. (2017). The implementation of 5s lean tool using system dynamics approach. Procedia CIRP, 60, 380–385. https://doi.org/10.1016/j.procir.2017.01.057

Powell, F., Levine, A., & Ordonez-Gauger, L. (2022). Fishermen’s perceptions of constraints on adaptive capacity in the California market squid and California spiny lobster fisheries. Frontiers in Marine Science, 9, 1–17. https://doi.org/10.3389/fmars.2022.1028280

Prayoga, M. Y., Iskandar, B. H., & Wisudo, S. H. (2017). Peningkatan kinerja manajemen rantai pasok tuna segar di PPS Nizam Zachman Jakarta (PPSNZJ). Albacore : Jurnal Penelitian Perikanan Laut, 1(1), 77–88. https://doi.org/10.29244/core.1.1.77-88

Pujawan, I. N., & Mahendrawathi. (2017). Supply Chain Management (3rd ed.). Andi.

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98. https://doi.org/10.1504/IJSSCI.2008.017590

Sanjaya, Y. P. A., & Akhyar, M. A. (2022). Blockchain and smart contract applications can be a support for msme supply chain finance based on sharia crowdfunding. Blockchain Frontier Technology, 2(1), 44–49. https://doi.org/10.34306/bfront.v2i1.108

Sarjono, H., Suprapto, A. T., & Megasari, L. (2017). Supply chain performance measurement using SCOR model in the distribution company in Indonesia. 2017 3rd International Conference on Information Management (ICIM), 186–189. https://doi.org/10.1109/INFOMAN.2017.7950372

Shou, W., Wang, J., Wu, P., & Wang, X. (2020). Value adding and non-value adding activities in turnaround maintenance process: classification, validation, and benefits. Production Planning & Control, 31(1), 60–77. https://doi.org/10.1080/09537287.2019.1629038

Shrivastava, P., Verma, D. M. K., Murmu, D. M., & Ahmad, D. I. (2019). Applicability of the analytical hierarchy process (ahp) in decision making for integrated urban water system in a city. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 1317–1322. https://doi.org/10.35940/ijrte.B1945.078219

Statistik Kementerian Kelautan dan Perikanan. (2022). Jumlah Produksi Perikanan (Ikan Kakap). https://statistik.kkp.go.id/home.php?m=prod_ikan_prov&i=2#panel-footer

Stevenson, W. J. (2020). Operations Management (14th ed.). McGraw-Hill Education.

Suryana, A. A. H., Nurhayati, A., Dewanti, L. P., Andhikawati, A., & Dewi, R. R. (2021). Pemetaan daya saing subsektor perikanan tangkap di Provinsi Jawa Barat. Buletin Ilmiah Marina : Sosial Ekonomi Kelautan Dan Perikanan, 7(2), 115–124. https://doi.org/10.15578/marina.v7i2.8881

Veres, C., Marian, L., Moica, S., & Al-Akel, K. (2018). Case study concerning 5S method impact in an automotive company. Procedia Manufacturing, 22, 900–905. https://doi.org/10.1016/j.promfg.2018.03.127

Waaly, A. N., Ridwan, A. Y., & Akbar, M. D. (2018). Supply chain operation reference (SCOR) model dan analytical hierarchy process (AHP) untuk mendukung green procurement pada industri penyamakan kulit. Journal Industrial Servicess, 4(1), 1–6. https://doi.org/10.36055/jiss.v4i1.4081

Wahid, N. I., Noviyanti, R., & Riani, E. (2019). Pengelolaan perikanan pelagis besar dengan pendekatan ekosistem di Kabupaten Mamuju Utara Sulawesi Barat. Jurnal Matematika Sains Dan Teknologi, 2(1), 30–44. https://doi.org/10.33830/jmst.v20i1.86.2019

Yasir, M., Majid, A., & Yousaf, Z. (2014). Cash conversion cycle and its impact upon firm performance: An evidence from cement industry of Pakistan. Global Business and Management Research: An International Journal, 6(2), 139–149.




https://doi.org/10.21776/ub.industria.2024.013.01.4

Refbacks

  • There are currently no refbacks.