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All Journal JURNAL IT: Media Infromasi STMIK Handayani Makassar Jurnal Teknologi Elekterika Jurnal Informatika Progres Gudang Jurnal Pengabdian Masyarakat Journal of Computer Science and Information Technology Advances in Computer System Innovation Journal (ACSI Journal)
Arni, Sitti
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Jurnal Informatika Progres

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ANALISIS PERAMALAN KLAIM TABUNGAN HARI TUA MENGGUNAKAN METODE ARIMA PADA PT. ASABRI CABANG MAKASSAR Issan; Pagasing, Indri Mita; Harmin, Andi; Arni, Sitti
PROGRESS Vol 17 No 1 (2025): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i1.424

Abstract

The Autoregressive Integrated Moving Average (ARIMA) method was used in this study to forecast the number of Old Age Savings (THT) insurance claims at PT ASABRI (Persero) Makassar Branch. The data used consisted of 37 monthly observations of THT claims from May 2022 to May 2025. The model identification results indicate that the ARIMA (1,1,0) model is appropriate, with a p-value <0.05 and residuals similar to white noise. This forecast was made for June to December 2025. According to the Mean Absolute Percentage Error (MAPE) value of 17,7123%, this model has a fairly high level of accuracy. It is hoped that the results of this study will assist businesses in making financial decisions and strategic planning.
Co-Authors Ahamad Rizal Sultan An-Nizha, Nurul Andi Harmin Bachtiar, Muh. Imran Firman Aziz Harry Yulianto, Harry Helmy Syamsuri, Helmy Issan Jalil, Agustamil Merdewiningsi, Andi Pagasing, Indri Mita Sainal Abidin, Sainal Sofyan Sofyan Umar Muhammad Umar, Hendra Yahya, Kurnia