PRATAMA, I GUSTI NGURAH AGUS TINA (2024) OPTIMALISASI PERSEDIAAN BAHAN BAKU KEMASAN GALON MENGGUNAKAN METODE FORECASTING (STUDI KASUS PERUMDA AIR MINUM TIRTA SANJIWANI KABUPATEN GIANYAR). Diploma thesis, POLITEKNIK TRANSPORTASI DARAT BALI.
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Abstract
Tirta Sanjiwani Drinking Water Company of Gianyar Regency is a company that manages bottled drinking water (AMDK) by creating a product called Be Gianyar. The high demand for drinking water creates an obstacle, namely the shortage of raw material supply due to poor procurement planning. The purpose of this study is to predict the amount of raw material requirements for gallon packaging so that there is no shortage of raw material supply. Forecasting is done with a quantitative approach using a single moving average and single exponential smoothing method to analyze data on the number of gallons demanded in 2023. The results of the analysis based on the measurement of the lowest error rate show that the single exponential smoothing method with an alpha value of 0.1 is a more optimal method.
Keywords: Inventory, Demand, Forecasting, Single Moving Average, Single Exponantial Smoothing.
| Item Type: | Thesis (Diploma) |
|---|---|
| Contributors: | Contribution Name Email Thesis advisor NAVIANTI, S.Si., M.Si, DYNES RIZKY UNSPECIFIED Thesis advisor SADRI, M. Sc., PUTU DIVA ARIESTHANA UNSPECIFIED |
| Uncontrolled Keywords: | Perusahaan Umum Daerah Air Minum Tirta Sanjiwani Kabupaten Gianyar merupakan perusahaan yang mengelola AMDK (Air Minum Dalam Kemasan) dengan menciptakan produk yang diberi nama Be Gianyar. Tingginya permintaan air minum menimbulkan suatu kendala yaitu kekurangan pasokan bahan baku akibat perencanaan pengadaan yang kurang baik. Tujuan penelitian ini adalah memprediksi jumlah kebutuhan bahan baku kemasan galon agar tidak terjadi kekurangan pasokan bahan baku. Peramalan dilakukan dengan pendekatan kuantitatif menggunakan metode single moving average dan single exponential smoothing untuk menganalisis data jumlah permintaan galon di tahun 2023. Hasil analisis berdasarkan pengukuran tingkat kesalahan yang paling rendah menunjukkan bahwa metode single exponential smoothing dengan besaran alpha sebesar 0,1 merupakan metode yang lebih optimal. Kata Kunci: Persediaan, Permintaan, Peramalan, Single Moving Average, Single Exponential Smoothing. |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Depositing User: | - Poltrada Bali Kemenhub |
| Date Deposited: | 04 Dec 2024 03:23 |
| Last Modified: | 04 Dec 2024 03:23 |
| URI: | https://digilib.poltradabali.ac.id/id/eprint/245 |
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