Analisis Deret Waktu Data Perencanaan Tenaga Kerja pada Perusahaan Manufaktur Menggunakan Model ARIMA
Keywords:
ARIMA MODEL, FORECASTING, MAN POWER PLANNING, TARGET PLAN, TIME SERIES ANALYSIS
Abstract
In the industrial world, forecasting is a very important part to be used as a basis for strategic planning, business growth, revenue projections, and decision-making of an organization or company. Manpower planning or workforce planning, is indeed crucial for organizations of all sizes. It involves strategically analyzing and forecasting an organization's current and future workforce needs to ensure that it has the right number of employees with the appropriate skills in the right roles at the right time. One of the analyses that can be used for forecasting is data analysis using the Time Series Method. One aspect that can be analyzed is Man Power Planning in the Manufacturing Company. By knowing the forecasting, workforce planning can be measured in terms of productivity, efficiency, and sustainability of the organization's or company's operations. This data has been analyzed using the ARIMA Model, which can produce comparative data as a data reference to support further decisions for the Manufacturing Company. The results of this analysis provide valuable guidance for company management in making decisions related to human resource planning, including: optimizing productivity, reducing operational costs, and increasing the efficiency of the company's overall operations.
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Wisner, J., Tan, K., & Leong, G. (2014). Principles of supply chain management: A balanced approach. https://books.google.com/books?hl=en&lr=&id=yTN-BAAAQBAJ&oi=fnd&pg=PP1&ots=ZaHaZ346U6&sig=9fhOhXuC-_poZGazy0EmQRv87jE
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Zaky, F. A., Farhana, Yusuf, H., Rambe, K. F., Sufni, N., & Akmalia, R. (2023). Implementasi Pendekatan Ketenagakerjaan Dalam Perencanaan Pendidikan Di Pondok Pesantren (Madrasah Aliyah) Nurul Fadhilah. Ar-Raudah : Jurnal Pendidikan Dan Keagamaan, 2(1), 53–59. https://ojs.staira.ac.id/index.php/raudah
Arifin, N., Saputra, E., Khairil Ahsyar, T., & Muttakin, F. (2023). Audit Keamanan Sistem Informasi Euclid Menggunakan Framework Cobit 5 pada PT. XYZ. Jurnal Informatika Polbeng , 8(1), 2023.
Ariyanto, F., & Tamam, M. B. (2020a). ANALISIS TIME SERIES DENGAN METODE ARIMA DAN APLIKASINYA. Jurnal JATIM, 01(02).
Ariyanto, F., & Tamam, Moh. B. (2020b). ANALISIS TIME SERIES DENGAN METODE ARIMA DAN APLIKASINYA. Jurnal Aplikasi Teknologi Informasi Dan Manajemen (JATIM), 1(2), 26–36. https://doi.org/10.31102/jatim.v1i2.972
Box, G., Jenkins, G., Reinsel, G., & Ljung, G. (2015). Time series analysis: forecasting and control. https://books.google.com/books?hl=en&lr=&id=rNt5CgAAQBAJ&oi=fnd&pg=PR7&ots=DKa2sTmWTx&sig=ZtYxv6pBIUSOFrCvpi6ZkN-Rk0c
Bozarth, C., Handfield, R., & Weiss, H. (2008). Introduction to operations and supply chain management (Third Edision). http://ndl.ethernet.edu.et/bitstream/123456789/23257/1/2%202013.pdf
Brockwell, P., & Davis, R. (2009). Time series: theory and methods. https://books.google.com/books?hl=en&lr=&id=TVIpBgAAQBAJ&oi=fnd&pg=PA1&dq=+Brockwell+PJ,+Davis+RA.+Time+series:+theory+and+method.+Berlin:+Springer-Verlag,+1987.&ots=nl5A8CkiV-&sig=Wi938aKxQhORozQpqn0n8mPMsYg
Buulolo, M., Hawa, R., Sinaga, A., & Partogi, T. (2023). ANALISIS PERENCANAAN DAN PENGAWASAN BIAYA PRODUKSI PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) PERIODE 2019-2021. JURNAL GLOBAL MANAJEMEN, 12(1), 24–28. www.idx.co.id.
Diqi, M., Sahal, A., & Nur Aini, F. (2023). Multi-Step Vector Output Prediction of Time Series Using EMA LSTM. Jurnal Online Informatika, 8(1), 107–114. https://doi.org/10.15575/join.v8i1.1037
Febriyanti, A. N., & Rifai, N. A. K. (2022). Metode Triple Exponential Smoothing Holt-Winters untuk Peramalan Jumlah Penumpang Kereta Api di Pulau Jawa. Bandung Conference Series: Statistics, 2(2). https://doi.org/10.29313/bcss.v2i2.3560
Hamilton, James. D. (1994). Time Series Analysis. In Princeton University Press (First Edition). https://books.google.co.id/books?hl=en&lr=&id=BeryDwAAQBAJ&oi=fnd&pg=PP1&dq=Hamilton+JD.+Time+series+analysis.+Princeton:+Princeton+University+Press,+1994.&ots=BgFR129Scr&sig=UIWaBt5D3hNVAjAC0Q7zVXKuYhw&redir_esc=y#v=onepage&q=Hamilton%20JD.%20Time%20series%20analysis.%20Princeton%3A%20Princeton%20University%20Press%2C%201994.&f=false
Han, J., Kamber, M., & Pei, J. (2011). Data Mining. Concepts and Techniques, 3rd Edition (The Morgan Kaufmann Series in Data Management Systems).
John, D. R., & Latupeirissa, S. J. (2021). PERAMALAN HARGA EMAS DI INDONESIA TAHUN 2014-2019 DENGAN METODE ARIMA BOX-JENKINS. VARIANCE: Journal of Statistics and Its Applications, 2(2). https://doi.org/10.30598/variancevol2iss2page53-62
Junaedi, H., Budianto, H., Maryati, I., & Melani, Y. (2011). Data Transformation pada Data Mining. Prosiding Konferensi Nasional Inovasi Dalam Desain Dan Teknologi, 7.
Kabul, E. R., & Febrianto, M. N. (2022). Implementasi Metode Full Time Equivalent (FTE) Dalam Analisis Kebutuhan Tenaga Kerja. IKRAITH-EKONOMIKA, 5(1), 162–168.
Kendall, M. G., Box, G. E. P., & Jenkins, G. M. (1971). Time Series Analysis, Forecasting and Control. Journal of the Royal Statistical Society: Series A (General), 134(3), 450–453. https://doi.org/10.2307/2344246
Komara, M. A., Wahyuni, R. S., Ferdiansyah, I., Salim, A. Y., Haerudin, Y. H., Tinggi, S., Wastukancana, T., & Likmi, S. (n.d.). Sistem Informasi Penjualan Pupuk di PT. HURIP UTAMA Berbasis Web Fertilizer Sales Web Base Information System at PT. HURIP UTAMA. 2024(1), 26–36. https://doi.org/10.51132/teknologika.v14i1
Matsumoto, M., & Ikeda, A. (2015). Examination of demand forecasting by time series analysis for auto parts remanufacturing. Journal of Remanufacturing, 5(1). https://doi.org/10.1186/S13243-015-0010-Y
Maulana, H. A. (2018). PEMODELAN DERET WAKTU DAN PERAMALAN CURAH HUJAN PADA DUA BELAS STASIUN DI BOGOR. Jurnal Matematika Statistika Dan Komputasi, 15(1). https://doi.org/10.20956/jmsk.v15i1.4424
Nugroho, K., Wismarini, Th. D., & Murti, H. (2023). Sales Conversion Optimization Analysis Using the Random Forest Method. Sinkron, 8(4). https://doi.org/10.33395/sinkron.v8i4.12943
Prasasti Dewi, N. M. I. F., & Wirasuta, I. M. A. G. (2021). STUDI PERENCANAAN PENGADAAN SEDIAAN FARMASI DI APOTEK X BERDASARKAN PERATURAN MENTERI KESEHATAN NOMOR 73 TAHUN 2016. Indonesian Journal of Legal and Forensic Sciences (IJLFS), 11(1). https://doi.org/10.24843/ijlfs.2021.v11.i01.p01
Roh, Y., Heo, G., & Whang, S. E. (2021). A Survey on Data Collection for Machine Learning: A Big Data-AI Integration Perspective. In IEEE Transactions on Knowledge and Data Engineering (Vol. 33, Issue 4, pp. 1328–1347). IEEE Computer Society. https://doi.org/10.1109/TKDE.2019.2946162
Safitri, B. A., Iriany, A., & Wardhani, N. W. S. (2021). Perbandingan Akurasi Peramalan Curah Hujan dengan menggunakan ARIMA, Hybrid ARIMA-NN, dan FFNN di Kabupaten Malang. Seminar Nasional Official Statistics, 2021(1). https://doi.org/10.34123/semnasoffstat.v2021i1.853
Sasikumar, C. S., & Kumaravel, A. (2019). E-learning attributes selection through rough set theory and data mining. International Journal of Innovative Technology and Exploring Engineering, 8(10). https://doi.org/10.35940/ijitee.J9917.0881019
Sidqi, F., & Sumitra, I. D. (2019). PERAMALAN PENJUALAN BARANG SINGLE VARIANT MENGGUNAKAN METODE ARIMA, TREND ANALYSIS, DAN SINGLE EXPONENTIAL SMOOTHING (STUDI KASUS : TOKO SWALAYAN XYZ). Jurnal Tata Kelola Dan Kerangka Kerja Teknologi Informasi .
Syahtana Rizqi, D., & Raudita Andra Nabila. (2022). DETERMINASI KINERJA KARYAWAN: SUMBER DAYA MANUSIA, KOMITMEN DAN MOTIVASI KERJA (LITERATUR REVIEW MSDM). JURNAL MANAJEMEN PENDIDIKAN DAN ILMU SOSIAL, 3(2). https://doi.org/10.38035/jmpis.v3i2.1113
Togatorop, A. R. M., Bahari, A. I. L., & Choiruddin, A. (2023). Neural Networks-Based Forecasting Platform for EV Battery Commodity Price Prediction. INTENSIF: Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 7(2), 243–261. https://doi.org/10.29407/intensif.v7i2.19999
Utami, R., Ananda, V., & Sari, A. M. (2023). Peramalan Harga Minyak Mentah Dunia dengan Metode ARIMA dan Regresi Linier. Prosiding Seminar Pendidikan Matematika Dan Matematika, 7. https://doi.org/10.21831/pspmm.v7i1.269
Wisner, J., Tan, K., & Leong, G. (2014). Principles of supply chain management: A balanced approach. https://books.google.com/books?hl=en&lr=&id=yTN-BAAAQBAJ&oi=fnd&pg=PP1&ots=ZaHaZ346U6&sig=9fhOhXuC-_poZGazy0EmQRv87jE
Wold, H. (1938). A study in the analysis of stationary time series. https://www.diva-portal.org/smash/record.jsf?pid=diva2:492042
Zaky, F. A., Farhana, Yusuf, H., Rambe, K. F., Sufni, N., & Akmalia, R. (2023). Implementasi Pendekatan Ketenagakerjaan Dalam Perencanaan Pendidikan Di Pondok Pesantren (Madrasah Aliyah) Nurul Fadhilah. Ar-Raudah : Jurnal Pendidikan Dan Keagamaan, 2(1), 53–59. https://ojs.staira.ac.id/index.php/raudah
Published
2024-12-01
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