Quality Control of Chicken Feed Products Using Statistical Process Control (SPC) and Fault Tree Analyses (FTA)
Pengendalian Kualitas Produk Pakan Ayam Menggunakan Statistical Process Control (SPC) dan Fault Tree Analisys (FTA)
DOI:
https://doi.org/10.21070/ups.4736Keywords:
Quality Control, Defective Products, Statistical Process Control, Fault Tree AnalysisAbstract
PT XYZ is a multinational company in the Pasuruan district. Chicken feed products produced on average around 10,000 tons per month. However, there are still defective products of 690 tons or 0.11%. The quality control of chicken feed production implemented by the company has not been optimized properly, therefore, efforts must be made to analyze quality control measures. The statistical Process Control and Fault Tree Analysis methods are applied to seek to minimize these defective products. SPC is an application of statistical techniques to control various processes and FTA is used to identify the workflow in the production process in the company. The most dominant types of defects in chicken feed products are mixed feed with a result of 266 tons or 36.6%, non-uniform feed particle size with a result of 220 tons or 31.9%, and mismatch of feed with bags with a result of 2604 tons or 29.6%.
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References
W. Maulana, Muhammad Rizqi Fatmawati and D. B. Brav, “Metode Plan , Do , Check , Action ( PDCA ),” J. Logist., vol. VOL.1.NO.1, pp. 30–38, 2022.
P. Wisnubroto, T. I. Oesman, and W. Kusniawan, “Pengendalian Kualitas Terhadap Produk Cacat Menggunakan Metode Seven Tool Guna Meningkatkan Produktivitas di CV. Madani Plast Solo,” IEJST (Industrial Eng. J. Univ. Sarjanawiyata Tamansiswa), vol. 2, no. 2, pp. 82–91, 2018.
A. Dikman, T. Wiliater, and S. Panjaitan, “Analisis Penurunan Tingkat Kecacatan untuk Produk Paper Core di PT . X,” Dikman al., vol. 11, no. 2, pp. 249–256, 2023.
A. Mikhalin and A. Suseno, “Analisis Pengendalian Produk Cacat Dengan Metode Control Chart Pada PT. Kawai Plant 1 Analysis of Defective Products with The Control Chart Method at PT. Kawai Indonesia Plant 1,” 48 Jmemme, vol. 6, no. 1, pp. 48–55, 2022, doi: 10.31289/jmemme.v6i1.6747.
S. Nasution and R. D. Sodikin, “Perbaikan Kualitas Proses Produksi Karton Box Dengan Menggunakan Metode DMAIC Dan Fuzzy FMEA,” J. Sist. Tek. Ind., vol. 20, no. 2, pp. 36–46, 2018, doi: 10.32734/jsti.v20i2.488.
M. Y. Muchsinin and W. Sulistiyowati, “Quality Control Analysis To Reduce Product Defects With The Lean Six Sigma Method And Fault Tree Analysis,” Procedia Eng. Life Sci., vol. 3, 2023, doi: 10.21070/pels.v3i0.1323.
W. Sulistiyo and P. Vitasari, “Pengendalian Kualitas Produk Di Pt Xyz Dengan Menggunakan Peta Kendali I-Mr,” Ind. Inov. J. Tek. Ind., vol. 13, no. 1, pp. 1–5, 2023, doi: 10.36040/industri.v13i1.4268.
O. Barus, B. Sulistiyanto, C. S. Utama, and M. F. Haidar, “Analisis Pengendalian Mutu Pakan Ayam Petelur: Studi Kasus di Peternakan Ayam Petelur di Kecamatan Mijen Kota Semarang,” J. Litbang Provinsi Jawa Teng., vol. 20, no. 1, pp. 9–22, 2022, doi: 10.36762/jurnaljateng.v20i1.901.
I. Saputra, R. Stighfarrinata, and U. Bojonegoro, “Analisis Pengendalian Persediaan Bahan Baku Jagung Untuk Proses Produksi Pakan Ternak di PT.Japfa Comfeed Indonesia Tbk. Unit Gedangan Sidoarjo Dengan Metode EOQ,” J. Teknol. dan Manaj. Sist. Ind. (JTMSI ), vol. 2, no. 1, pp. 9–19, 2023.
M. Sayuti, “Analisis Pengendalian Kualitas Produk Pakan Ternak Dengan Metode Statistical Quality Control (Sqc) Pada Perusahaan Pakan Ternak Di Karawang,” Ind. Xplore, vol. 3, no. 1, 2018, doi: 10.36805/teknikindustri.v3i1.358.
D. Mahendra, A. M. Subagyo, and D. Almahdi, “Usulan Penerapan Metode Statistical Process Control pada Pengendalian Kualitas Produk Cacat Benang Combed 30s,” J. Serambi Eng., vol. 8, no. 2, 2023, doi: 10.32672/jse.v8i2.5506.
W. Ridwan, R. Widiastuti, and E. Nurhayati, “Analisis Pengendalian Kualitas Bibit Sawit Dengan Menggunakan Metode Fault Tree Analysis (FTA) dan Metode Failutre Mode Effect Analysis (FMEA) di PT. Kapuas Sawit Sejahtera,” Reslaj Relig. Educ. Soc. Laa Roiba J., vol. 5, no. 6, pp. 3730–3738, 2023, doi: 10.47467/reslaj.v5i6.2741.
W. Sulistiyowati, “Control of Outsole Products With Statistical Process Control ( SPC ) And Fault Tree Analysis ( FTA ) [ Pengendalian Produk Outsole Dengan Metode Statistical Process Control ( SPC ) dan Fault Tree Analysis ( FTA )],” pp. 1–12.
M. T. Edi Supriyadi, S.T., “ANALISIS KUALITAS PRODUKSI DENGAN STATISTICAL PROSESS CONTROL (SPC),” in ANALISIS KUALITAS PRODUKSI DENGAN STATISTICAL PROSESS CONTROL (SPC), 2021, p. 134.
Nofirza, R. Susanti, D. S. Ramadhan, P. P. Arwi, and M. Siregar, “Analisis Oil Losses Pada Stasiun Perebusan Produksi Crude Palm Oil (CPO) Menggunakan Metode Statistical Process Control (SPC),” J. Teknol. dan Manaj. Ind. Terap., vol. 2, no. 2, pp. 98–110, 2023, doi: 10.55826/tmit.v2i2.67.
M. A. Faiz, W. Winarno, and A. Suseno, “Analisis Pengendalian Kualitas Produk Celana pada UMKM KMStoreid Menggunakan Metode Statistical Process Control,” J. Serambi Eng., vol. 7, no. 4, 2022, doi: 10.32672/jse.v7i4.4915.
A. Saputra and S. Sarijal, “Condenser Damage Analysis using FTA And FMEA Methods at PLTU Nagan Raya,” J. Inotera, vol. 7, no. 2, pp. 103–108, 2022, doi: 10.31572/inotera.vol7.iss2.2022.id180.
H. Hardiansah, Y. Sukmono, and W. W. E. Saptaningtyas, “Analisis Risiko Kecelakaan Kerja dengan Metode Failure Mode and Effect Analysis (FMEA) dan Fault Tree Analysis (FTA),” J. Tek. Ind., vol. 1, no. 1, pp. 1–9, 2023, doi: 10.30872/jatri.v1i1.493.
R. E. Wulansari, A. F. Khasanah, M. Djunaidi, J. T. Industri, F. Teknik, and U. M. Surakarta, “Prosiding IENACO 2020 Teknik Industri UMS (18 Maret 2020) 185,” pp. 185–193, 2020.
E. M. Ratri, E. B. G, and M. Singgih, “Peningkatan Kualitas Produk Roti Manis pada PT Indoroti Prima Cemerlang Jember Berdasarkan Metode Statistical Process Control (SPC) dan Failure Mode and Effect Analysis (FMEA),” e-Journal Ekon. Bisnis dan Akunt., vol. 5, no. 2, p. 200, 2018, doi: 10.19184/ejeba.v5i2.8686.
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