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Artykuły w czasopismach na temat „Weighted average smoothing”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Seng, Hansun, and Subanar. "Brown's Weighted Exponential Moving Average Implementation in Forex Forecasting." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 3 (2017): 1425–32. https://doi.org/10.12928/TELKOMNIKA.v15i3.5410.

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In 2016, a time series forecasting technique which combined the weighting factor calculation formula found in weighted moving average with Brown’s double exponential smoothing procedures had been introduced. The technique is known as Brown’s weighted exponential moving average (B-WEMA), as a new variant of double exponential smoothing method which does the exponential filter processes twice. In this research, we will try to implement the new method to forecast some foreign exchange, or known as forex data, including EUR/USD, AUD/USD, GBP/USD, USD/JPY, and EUR/JPY data. The time ser

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Simon, Gusman. "Peramalan pendaftar mahasiswa baru dengan menggunakan metode moving average, weighted moving average dan exponential smoothing." Jurnal Teknik Industri Terintegrasi 8, no. 1 (2025): 13–21. https://doi.org/10.31004/jutin.v8i1.36423.

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Forecasting, which is part of planning activities, provides benefits for higher education institutions to prepare for the needs of the selection process. This study aims to predict the number of new student applicants using the moving average, weighted moving average, and exponential smoothing methods. Forecast accuracy testing through signal tracking tests in each period, as well as MAD, MSE, and MAPE values. The forecast results using the exponential smoothing method with α 0.2 provide the smallest MAD results compared to other methods. The forecast results using the 3-period weighted moving

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Aji, Briyan Gifari, Dwi Chandra Aditya Sondawa, Fairuz Aqila Anindika, and Dwi Januarita. "Analisis Peramalan Obat Menggunakan Metode Simple Moving Average, Weighted Moving Average, Dan Exponential Smoothing." JURIKOM (Jurnal Riset Komputer) 9, no. 4 (2022): 959. http://dx.doi.org/10.30865/jurikom.v9i4.4454.

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Forecasting is one of the essential measures in decision making, especially for estimating the number of needs. Some large companies often hire consultants to analyze and advise on forecast product demand. Especially in the health sector, forecasting is needed to meet customer drug demand. In the last two years, the Healthy Prayer Clinic experienced problems in planning the procurement of non-generic drugs due to the COVID-19 pandemic, where the number of drug requests was greater than the number of available drug stocks. This happened because the Healthy Prayer Clinic ordered non-generic drug

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Awanda, Ridho, and Kresna Oktafianto. "PERAMALAN PERMINTAAN PAVING MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE DAN EXPONENTIAL SMOOTHING." MathVision : Jurnal Matematika 3, no. 1 (2021): 14–18. http://dx.doi.org/10.55719/mv.v3i1.252.

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Abstrak– CV. Berlian Abadi adalah perusahaan yang bergerak di bidang jasa kontruksi sipil, perdagangan umum dan supplier produk beton yang menerapkan sistem Make to Stock (MTS). Salah satu produk beton yang diproduksi pada CV. Berlian Abadi adalah paving. Paving merupakan merupakan produk yang paling banyak terjual dibandingkan produk lain namun permintaan produk paving bersifat fluktuatif yang artinya permintaan tidak menentu sehingga sering terjadi masalah pada saat prediksi banyaknya produk yang harus ada pada bulan berikutnya. Tujuan dari penelitian ini adalah untuk meramalkan permintaan p

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Aprilyanta, I. Gede Bawa, Ariesta Lestari, and Sherly Christina. "PERBANDINGAN IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE DAN METODE SINGLE EXPONENTIAL SMOOTHING PADA PENENTUAN PERSEDIAAN OBAT." Jurnal SAINTEKOM 12, no. 2 (2022): 137–45. http://dx.doi.org/10.33020/saintekom.v12i2.317.

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Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the future period based on sales reports and experience. For research purposes, it will provide a solution by developing Forecasting Applications by applying the Weighted Moving Average method with weights 2, 3, 4, 5, 6, 7, 8 and 9 periods and the Single Exponential Smoothing method with constant smoothing or (alpha), namely 0.2, 0.3, 0.4, 0.5, 0.6, 0

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Juniarto, Tuwandi, Yasmin, Budi Santoso, and Ahmad Noor Faiz. "Peramalan Produksi Pupuk NPK Menggunakan Metode Moving Average, Weighted Moving Average Dan Exponential Smoothing Di PT. XYZ." Integrasi: Jurnal Ilmiah Teknik Industri 10, no. 1 (2025): 76–85. https://doi.org/10.32502/integrasi.v10i1.426.

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Fluktuasi produksi pupuk NPK di PT XYZ menjadi tantangan dalam memenuhi kebutuhan pasar yang dinamis. Penelitian ini bertujuan untuk menentukan metode peramalan produksi terbaik menggunakan Moving Average, Weighted Moving Average, dan Exponential Smoothing. Data yang digunakan berupa produksi bulanan pupuk NPK dari Januari hingga Agustus 2024. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan analisis time series. Hasil penelitian menunjukkan bahwa Exponential Smoothing menghasilkan nilai akurasi tertinggi berdasarkan indikator MAD, MSE, dan MAPE. Temuan ini menegaskan pent

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7

Huh, Ick, Román Viveros-Aguilera, and Narayanaswamy Balakrishnan. "Differential Smoothing in the Bivariate Exponentially Weighted Moving Average Chart." Journal of Quality Technology 45, no. 4 (2013): 377–93. http://dx.doi.org/10.1080/00224065.2013.11917945.

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Sinatra, Idzanul Iksan, Bambang Pramono, and Statiswaty Statiswaty. "PERBANDINGAN KEEFEKTIFAN METODE WEIGHTED MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTHING UNTUK PERAMALAN JUMLAH PELANGGAN TELKOMSEL." semanTIK 5, no. 2 (2019): 255–62. https://doi.org/10.5281/zenodo.3464228.

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<em>PT. Telkomsel almost controls 90% market share in Indonesia with more than 196 million subscribers in 2017. Grapari Kendari City as a service center for Telkomsel customers in Southeast Sulawesi still does not have a system to predict the number of its customers. This resulted in the loss of potential services that should have been able to be provided such as the construction of branch offices in areas that have the potential to have a high number of customers to provide overall service to customers. To overcome this problem, a system will be created that can assist in managing customer da

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9

Alex, Muhammad Asyrof Hidayatullah, and Nur Rahmawati. "Application of the Single Moving Average, Weighted Moving Average and Exponential Smoothing Methods For Forecasting Demand At Boy Delivery." Tibuana 6, no. 1 (2023): 32–37. http://dx.doi.org/10.36456/tibuana.6.1.6442.32-37.

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Boy Delivery is a delivery service in the city of Lamongan which has been operating for about 4 years. Boy Delivery has an average of 12,000 demand per month. However, the high demand was not accompanied by good demand management, Boy Delivery often piled up and even rejected a number of demand due to the unavailability of drivers at that time, this was due to an incorrect prediction of demand. Therefore this research was conducted to help forecast future demand using the Single Moving Average, Weighted Moving Average, and Exponential Smoothing methods. Of the three methods, the Single Exponen

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Marita, Lita Sari, and Ida Darwati. "Prediksi Persediaan Barang Menggunakan Metode Weighted Moving Average, Exponential Smoothing dan Simple Moving Average." Jurnal Tekno Kompak 16, no. 1 (2022): 56. http://dx.doi.org/10.33365/jtk.v16i1.1484.

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Inventory of goods is one of the very important sales activities, because it indirectly has an impact on customer satisfaction, it is possible that customers will feel disappointed if the goods they are looking for are not available because the stock is out of stock, if this happens it is very possible even until the customer loses. To avoid customer disappointment and maintain stock of goods so that they are always available when needed, it is important necessary to predict the inventory of goods in this case are brown envelopes at photocopy shops and office stationery F2. To be able to predi

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Sundana, Sambas, and Resti Febriani Putri. "USULAN TOTAL BIAYA PERSEDIAAN PEREAKSI PADA LABORATORIUM KIMIA DI PT XYZ." JENIUS : Jurnal Terapan Teknik Industri 2, no. 1 (2021): 13–19. http://dx.doi.org/10.37373/jenius.v2i1.87.

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Masalah yang dihadapi perusahaan selama tahun 2020 terjadi stock out sebanyak tiga kali dengan total empat botol yang mengakibatkan adanya biaya tambahan berupa biaya pemesanan sedangkan tujuan dari penelitian ini yaitu menghitung peramalan pereaksi kalium iodida berdasarkan data historis pemesanan, menghitung persediaan pereaksi kalium iodida menggunakan metode economic order quantity (EOQ), dan menghitung total biaya yang dibutuhkan untuk melakukan pemesanan pereaksi kalium iodida dalam satu tahun. Metode Peramalan yang dipakai yaitu Moving Average (MA, n = 3), Peramalan Moving Average (MA,

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12

Wardana, Wahyu Candra, and Putri Aisyiyah Rakhma Devi. "PERBANDINGAN METODE TIME SERIES UNTUK PREDIKSI PENJUALAN TIKAR LIPAT." JATI (Jurnal Mahasiswa Teknik Informatika) 8, no. 3 (2024): 3726–32. http://dx.doi.org/10.36040/jati.v8i3.9777.

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Dalam dunia bisnis, prediksi penjualan merupakan faktor penting dalam perencanaan dan pengambilan keputusan. Prediksi yang akurat tentang penjualan suatu produk dapat membantu perusahaan mengatur produksi, persediaan, dan strategi pemasaran yang efektif. Dalam penelitian ini, akan dilakukan perbandingan antara tiga metode time series yang populer, yaitu Simple Moving Average (SMA), Weighted Moving Average (WMA), dan Single Exponential Smoothing (SES), untuk memprediksi penjualan tikar lipat. Tujuan dari penelitian ini adalah untuk membandingkan ketiga metode time series tersebut dalam hal kema

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Noviadry Nur Tamtama and Rahmawati Riantisari. "Analisis Peramalan Permintaan Melalui Metode Moving Average, Weighted Moving Average dan Exponential Smoothing (Studi Kasus Pada Exist Auto Detailing)." Primanomics : Jurnal Ekonomi & Bisnis 22, no. 1 (2024): 109–20. http://dx.doi.org/10.31253/pe.v22i1.2685.

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Prediksi permintaan terhadap barang maupun jasa sangat dibutuhkan, karena akan berimbas pada pengelolaan persediaang barang yang dapat mendukung jalannya proses produksi jasa maupun barang. Kajian ini memiliki tujuan, membantu Exist Auto Detailing untuk meramalkan permintaan cuci mobil periode Desember 2023. Observasi ini bersifat kuantitatif dengan menggunakan data primer dan data sekunder. Alat analisis yang digunakan melalui metode moving average, weighted moving average dan exponential smoothings dengan pengujian keakuratan peramalan melalui MAD, MSE dan MAPE. Hasilnya metode moving averag

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14

BALLINI, R., and R. R. YAGER. "LINEAR DECAYING WEIGHTS FOR TIME SERIES SMOOTHING: AN ANALYSIS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 01 (2014): 23–40. http://dx.doi.org/10.1142/s0218488514500020.

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In this paper, we investigate the use of weighted averaging aggregation operators as techniques for time series smoothing. We analyze the moving average, exponential smoothing methods, and a new class of smoothing operators based on linearly decaying weights from the perspective of ordered weights averaging to estimate a constant model. We examine two important features associated with the smoothing processes: the average age of the data and the expected variance, both defined in terms of the associated weights. We show that there exists a fundamental conflict between keeping the variance smal

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15

Wofuru-Nyenke, Ovundah. "Predicting demand in a bottled water supply chain using classical time series forecasting models." Journal of Future Sustainability 2, no. 2 (2022): 65–80. http://dx.doi.org/10.5267/j.jfs.2022.9.006.

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In this paper, various classical time series forecasting methods were compared to determine the forecasting method with the highest accuracy in predicting demand of the 50cl product of a bottled water supply chain. The classical time series forecasting methods compared are the moving average, weighted moving average, exponential smoothing, adjusted exponential smoothing, linear trend line, Holt’s model, and Winter’s model. These methods were evaluated to determine the method with the least Mean Absolute Deviation (MAD) value and hence the highest forecasting accuracy. From the results, the wei

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16

Darwati, Ida, and Ratih Yulia Hayuningtyas. "Prediksi Harga Gabah Kering Panen Menggunakan Exponential Smoothing dan Weighted Moving Average." Swabumi 11, no. 1 (2023): 73–77. http://dx.doi.org/10.31294/swabumi.v11i1.15477.

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SAPUTRA, David, and Nanik HARIYANA. "Comparison of Double Exponential Smoothing Method with Weighted Moving Average in Forecasting UD Sales. Setya Abadi D. M as Financial Literacy." Journal of Entrepreneurial and Business Diversity 1, no. 3 (2023): 190–99. http://dx.doi.org/10.38142/jebd.v1i3.121.

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Purpose: UD. Setya Abadi D. M is a business unit focusing on the food industry, such as making frozen food (Maryam, churros, tortillas). In carrying out its production activities, this company certainly needs a strategy to compete with other competitors, one of which is forecasting. In this research, the data used is past product sales data from July 2021 to June 2023. This research aims to forecast sales in the future period in order to meet customer needs.Methodology:This data processing uses the weighted moving average and double exponential smoothing methods, which are then tested with the

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SAPUTRA, David, and Nanik HARIYANA. "Comparison of Double Exponential Smoothing Method with Weighted Moving Average in Forecasting UD Sales. Setya Abadi D. M as Financial Literacy." Journal of Entrepreneurial and Business Diversity 2, no. 1 (2024): 254–63. http://dx.doi.org/10.38142/jebd.v2i1.121.

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Purpose: UD. Setya Abadi D. M is a business unit focusing on the food industry, such as making frozen food (Maryam, churros, tortillas). In carrying out its production activities, this company certainly needs a strategy to compete with other competitors, one of which is forecasting. In this research, the data used is past product sales data from July 2021 to June 2023. This research aims to forecast sales in the future period in order to meet customer needs.Methodology:This data processing uses the weighted moving average and double exponential smoothing methods, which are then tested with the

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Assiva, Isri, Marliza Noor Hayatie, Maulida Hirdianti Bandi, and Eni Suasri. "PERAMALAN KEBUTUHAN PERSEDIAAN OBAT PADA UPT. PUSKESMAS TANJUNG HABULU." JIIS (Jurnal Ilmiah Ibnu Sina): Ilmu Farmasi dan Kesehatan 10, no. 1 (2025): 12–29. https://doi.org/10.36387/jiis.v10i1.2154.

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The Tanjung Habulu Community Health Center (UPT Puskesmas Tanjung Habulu), located in Tanjung village, Bajuin District, faces challenges in drug supply, having experienced shortages in the past. Therefore, a study was conducted comparing the weighted moving average method and the single exponential smoothing method to forecast the inventory of Amlodipine 10 mg, Glimipiride 2 mg, and Piroxicam 10 mg capsules for the upcoming period. To assess the accuracy of these methods in forecasting drug inventory on a quarterly basis, the Mean Absolute Percentage Error (MAPE) was utilized. Based on the res

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Sari, Novita, Hasdiana Hasdiana, and Eka Rahayu. "Perbandingan Weight Moving Average dan Single Exponential Smoothing pada Peramalan Persediaan Produk Farmasi." JiTEKH 10, no. 2 (2022): 75–83. http://dx.doi.org/10.35447/jitekh.v10i2.580.

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Satria Pharmacy is a drug product selling business that only sells various kinds of pharmaceutical products. Pharmacies Satria often have difficulty in predicting future product inventories based on previously recorded data. Forecasting is very influential on the decision of the pharmacy owner to determine the number of pharmaceutical products that must be provided by the pharmacy. In developing this forecasting system, the writer uses the Weighted Moving Average (WMA) and Single Exponential Smoothing (SES) forecasting methods. The purpose of this study is to apply the Weight Moving Everage (W

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Rasyidah, Rasyidah, Aldo Erianda, and Putri Huriati. "Inventory Management Based on Moving Average." MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 4, no. 1 (2022): 55–64. http://dx.doi.org/10.46574/motivection.v4i1.110.

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Overstock is a problem that often occurs in inventory management, the factor are the number of sales and expired date. CV.A is a distributor company for goods. In case of inventory control at CV.A, this study compared two kind of sales forecasting system; Weighted Moving Average (WMA) and Exponential Smoothing (ES) methods. Research results showed the forecast sales for SNACK X using WMA method in July 2021 is 1662, while the ES method is 1697. After performed forecasting, the error value of the two methods was calculated. As the results, Mean Absolute Deviation (MAD) and the Mean Squared Erro

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Erlangga, Veto Andhika, and Farida Pulansari. "Analisis dan Peramalan Volume Produksi Semen Bulk Menggunakan Metode Time Series di PT. VT." Industrika : Jurnal Ilmiah Teknik Industri 9, no. 3 (2025): 725–33. https://doi.org/10.37090/indstrk.v9i3.2084.

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PT VT is a company engaged in the cement industry, particularly in the distribution of bulk cement through the Jetty Department. To enhance operational efficiency, PT. VT aims to forecast the volume of bulk cement for the upcoming period and determine the most effective forecasting method to utilize. This study will employ three forecasting methods: Moving Average (MA), Weighted Moving Average (WMA), and Single Exponential Smoothing (SES). Historical data on bulk cement volume over the past 11 months were analyzed, and the accuracy of the forecasts was evaluated using Mean Squared Error (MSE).

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Mohamed, Khalafalla Hassan, H. S. Ariffin Sharifah, Kamilah Syed-Yusof Sharifah, Effiyana Ghazali N., and EA Kanona Mohammed. "Analysis of hybrid non-linear autoregressive neural network and local smoothing technique for bandwidth slice forecast." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 19, no. 4 (2021): 1078–89. https://doi.org/10.12928/telkomnika.v19i4.17024.

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The demand for high steady state network traffic utilization is growing exponentially. Therefore, traffic forecasting has become essential for powering greedy application and services such as the internet of things (IoT) and Big data for 5G networks for better resource planning, allocation, and optimization. The accuracy of forecasting modeling has become crucial for fundamental network operations such as routing management, congestion management, and to guarantee quality of service overall. In this paper, a hybrid network forecast model was analyzed; the model combines a non-linear auto regre

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Mentari, Maharani Sari Mutiara, and Irwan Iftadi. "Selection of the Best Forecasting Method at PT. Indaco Warna Dunia." Teknoin 28, no. 01 (2023): 1–10. http://dx.doi.org/10.20885/teknoin.vol28.iss1.art1.

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PT. Indaco Warna Dunia is a decorative paint company in Indonesia that produces products under the brands Envi, Belazo, and Top Seal. Preliminary observations revealed that the forecasting method used by the company is ineffective and inaccurate. This inaccurate forecast result company’s problem in fulfilling the demand. This study aims to select the best forecasting method to improve forecast effectiveness and accuracy. The research was conducted at the Tarakan depot, and the products understudy were a fast-moving product category, specifically the Envi brand. Several forecasting methods such

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Sarjono, Haryadi, and Irwan Zulkifli. "Prediksi Jumlah Tamu Menginap di Hotel Karlita International, Tegal, Jawa Tengah." Binus Business Review 4, no. 2 (2013): 661–75. http://dx.doi.org/10.21512/bbr.v4i2.1380.

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Article is forecasting comparative analysis of number of guess room occupancy at Karlita International Hotel, Tegal, Central Java using 11 forecasting methods: linear regression, moving average, weighted moving average, exponential smoothing, exponential smoothing with trend, naïve method, trend analysis, additive decomposition – CMA, additive decomposition – average all, multiplicative decomposition – CMA, multiplicative decomposition – average All. Article used 17 data from January 2012 to Mei 2013, and results after using those 11 methods were the smallest MAD is 101.69 and the smallest MSE

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Herdiani, Erna Tri, and Mustabsyirah Mustabsyirah. "COMPARISON OF EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART WITH HOMOGENEOUSLY WEIGHTED MOVING AVERAGE CONTROL CHARTS AND ITS APPLICATION." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 3 (2025): 2243–62. https://doi.org/10.30598/barekengvol19iss3pp2243-2262.

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The Exponentially Weighted Moving Average (EWMA) control chart is a widely used memory-type control chart known for detecting small shifts in process means. The recently developed Homogeneously Weighted Moving Average (HWMA) control chart modifies the weighting scheme of EWMA, giving more weight to the latest data and distributing smaller weights evenly to past data to further improve sensitivity. This paper compares the performance of EWMA and HWMA control charts on an iron pipe production process dataset. The methodology involves a two-phase analysis: Phase I for establishing in-control proc

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Adeoti, Olatunde A. "On control chart for monitoring exponentially distributed quality characteristic." Transactions of the Institute of Measurement and Control 42, no. 2 (2019): 295–305. http://dx.doi.org/10.1177/0142331219868595.

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The double exponentially weighted moving average (DEWMA) control chart has been observed to be more sensitive than the exponentially weighted moving average (EWMA) control chart for process monitoring assuming that the quality characteristic follows the normal distribution. In this paper, the DEWMA control chart is proposed for monitoring quality characteristics that follow the exponential distribution using variable transformation technique. The in-control and out-of-control average run lengths (ARLs) of the proposed control chart is obtained for equal and unequal smoothing constants. The per

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Wofuru-Nyenke, Ovundah King. "Forecasting Model Accuracy Assessment in a Bottled Water Supply Chain." International Journal of Engineering and Modern Technology 8, no. 5 (2023): 101–8. http://dx.doi.org/10.56201/ijemt.v8.no5.2022.pg101.108.

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This study presents an accuracy assessment of various classical time series forecasting methods to determine the most accurate forecasting method for predicting demand of the 50cl product of a bottled water supply chain. The classical time series forecasting methods compared are the moving average, weighted moving average, exponential smoothing, adjusted exponential smoothing, linear trend line, Holt’s model, and Winter’s model. The Mean Absolute Percent Deviation (MAPD) value was determined for the various forecasting methods to find the forecasting method with the least MAPD and hence the hi

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Owadally, M. Iqbal, and Steven Haberman. "The Treatment of Assets in Pension Funding." ASTIN Bulletin 34, no. 02 (2004): 425–33. http://dx.doi.org/10.2143/ast.34.2.505151.

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A recent survey of actuarial practitioners in North America shows that smoothed-market actuarial asset values are commonly used in funding valuations of defined benefit pension plans. Four methods of calculating such values are reported in the actuarial literature but only qualitative descriptions of the methods are given. This paper provides mathematical descriptions of the “average of market”, “weighted average”, “deferred recognition” and “write-up” actuarial values. They are shown to be based on either arithmetic or exponential smoothing. Provided the same form of smoothing is used, the fo

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Sarika, Thanapon. "การเปรียบเทียบแบบจำลองพยากรณ์ความต้องการในธุรกิจค้าปลีกหลายช่องทาง (Omni -Channel) : กรณีศึกษาผลิตภัณฑ์เครื่องใช้ไฟฟ้าและอุปกรณ์อิเล็กทรอนิกส์ในประเทศไทย". Journal of Logistics and Supply Chain Operations (JLSCO) 10, № 2 (2024): 159–82. http://dx.doi.org/10.53848/jlsco.v10i2.269977.

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งานวิจัยนี้มีวัตถุประสงค์เพื่อพัฒนาแบบจำลองการคาดการณ์ความต้องการที่แม่นยำสำหรับบริษัทผู้ประกอบการธุรกิจค้าปลีกแห่งหนึ่ง ซึ่งมีรายการสินค้ากว่า 4,000 รายการ ด้วยความท้าทายของการจัดการสินค้าคงคลัง บริษัทจึงมีการโอนย้ายสินค้าระหว่างสาขาบ่อยครั้ง ส่งผลให้ต้นทุนเพิ่มสูงขึ้นและประสิทธิภาพการดำเนินงานลดลง โดยมีขั้นตอนการวิจัยเริ่มต้นด้วยการรวบรวมข้อมูลรายละเอียดที่เกี่ยวข้อง ได้แก่ ยอดขาย หมายเลขคำสั่งซื้อ หมายเลข SKU และวันที่ขาย โดยใช้วิธีการ ABC Analysis เพื่อระบุ SKU ที่สำคัญและมีผลกระทบต่อภาคธุรกิจมากที่สุด โดยพิจารณาจากปัจจัยต่างๆ เช่น ปริมาณการขายและราคา หลังจากนั้นนำไปพยากรณ์ด้วยวิธีที่กำหนด

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Owadally, M. Iqbal, and Steven Haberman. "The Treatment of Assets in Pension Funding." ASTIN Bulletin 34, no. 2 (2004): 425–33. http://dx.doi.org/10.1017/s0515036100013763.

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A recent survey of actuarial practitioners in North America shows that smoothed-market actuarial asset values are commonly used in funding valuations of defined benefit pension plans. Four methods of calculating such values are reported in the actuarial literature but only qualitative descriptions of the methods are given. This paper provides mathematical descriptions of the “average of market”, “weighted average”, “deferred recognition” and “write-up” actuarial values. They are shown to be based on either arithmetic or exponential smoothing. Provided the same form of smoothing is used, the fo

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Shi, Xun, Eric Duell, Eugene Demidenko, Tracy Onega, Benjamin Wilson, and David Hoftiezer. "A Polygon-Based Locally-Weighted-Average Method for Smoothing Disease Rates of Small Units." Epidemiology 18, no. 5 (2007): 523–28. http://dx.doi.org/10.1097/ede.0b013e3181271ac8.

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Sadewa, Bima, Safwandi Safwandi, and Fajriana Fajriana. "Implementation of Simple Exponential Smoothing and Weighted Moving Average in Predicting Netflix Stock Prices." International Journal of Engineering, Science and Information Technology 5, no. 1 (2025): 264–71. https://doi.org/10.52088/ijesty.v5i1.708.

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This study aims to develop a stock price prediction system for Netflix using the Simple Exponential Smoothing and Weighted Moving Average methods and evaluate the accuracy of both methods. The system provides future stock price estimates based on historical data and includes evaluation metrics such as Mean Absolute Error and Mean Absolute Percentage Error. The implementation results show that SES achieved an MAE of 4.40 and a MAPE of 1.08%, while WMA resulted in an MAE of 8.65 and a MAPE of 2.11%. These findings indicate that SES is more effective in predicting stock prices with lower error ra

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PARANYTSIA, N.V., and L.O. POPOVYCH. "Statistical analysis, prognosis of capital expenditure on higher education in Ukraine." Market Relations Development in Ukraine №10 (209) 2018 136 (November 29, 2018): 16–22. https://doi.org/10.5281/zenodo.1689879.

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In today’s conditions of Ukraine’s economic development, the necessary prerequisite is the achievement of a balanced multi–dimensional development of higher education in Ukraine. This study is due to the fact that the totality of knowledge, skills and skills obtained in the educational process and subsequently bring income, represent human capital – one of the most important internal factors of the economic potential of the country. The state, trends of development and the forecast of the main indicators of higher education in Ukraine are analyzed with the help of econo

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Gunarti, Triana Sri, Baibul Tujni, and Imam Solikin. "DETERMINE THE MATERIAL INVENTORY FORECASTING METHOD BASED ON THE SMALLEST ERROR." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 9, no. 4 (2023): 691–98. http://dx.doi.org/10.33330/jurteksi.v9i4.2650.

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Abstract: The research was conducted at TB Bina Karya which is engaged in the sale and purchase of building materials. This research was conducted to predict building materials for the next period. The forecasting methods used in this study are single moving average (SMA), weighted moving average (WMA), and single exponential smoothing (SES). This study also discusses the error calculation of the forecasting method, the forecasting method which produces the smallest error value is used for making decisions in purchasing materials. The purpose of this research is to speed up the decision making

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Sarjono, Haryadi. "PREDIKSI JUMLAH PENERIMAAN SISWA SMK SWASTA TAHUN AJARAN 2011/2012." Binus Business Review 3, no. 2 (2012): 923. http://dx.doi.org/10.21512/bbr.v3i2.1274.

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This study aims to determine prediction number of modern private Vocational High School (SMK) students in a province in Borneo with the approach of six forecasting methods: Linear Regression, Exponential Smoothing with Trend, Exponential Smoothing, Weighted Moving Average, Moving Average, and the Naive Method, besides using Manual calculation, the approach of QM for windows is used as a comparison. The result will be determined by the six forecasting methods which is used as a proper basis for the next calculating based on the smallest MAD (Mean Absolute Deviation) and MSE (Mean Squared Error)

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Eka, Ilham, and Roban Roban. "PERAMALAN KEBUTUHAN KCl PADA GUDANG BAHAN BAKU PT. PUPUK KUJANG CIKAMPEK DENGAN PERBANDINGAN METODE SINGLE EXPONENTIAL SMOOTING DAN WEIGHTED MOVING AVERAGE." Jurnal Media Teknologi 11, no. 1 (2024): 53–62. http://dx.doi.org/10.25157/jmt.v11i1.4215.

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Pupuk Kujang Cikampek adalah perusahaan yang bergerak dibidang pembuatan pupuk. Diperusahaan ini terdiri dari beberapa bidang pekerjaan. Petugas PPM adalah petugas yang berfungsi untuk merencanakan dan mengendalikan setiap kebutuhan yang ada diperusahaan PT. Pupuk Kujang Cikampek. Maka dari itu perencanaan dangan pengendalian kebutuhan material sangat dibutuhkan guna menjaga ketersediaan barang untuk menunjang kelancaran proses produksi di PT. Pupuk Kujang Cikampek. Dalam penelitian ini penulis mengembangkan Sistem Informasi Stok Barang yang dapat meramalkan kebutuahan dalam 1 periode/ 1 tahun

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Flores, Anibal, Hugo Tito-Chura, Osmar Cuentas-Toledo, Victor Yana-Mamani, and Deymor Centty-Villafuerte. "PM2.5 Time Series Imputation with Moving Averages, Smoothing, and Linear Interpolation." Computers 13, no. 12 (2024): 312. http://dx.doi.org/10.3390/computers13120312.

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In this work, a novel model for hourly PM2.5 time series imputation is proposed for the estimation of missing values in different gap sizes, including 1, 3, 6, 12, and 24 h. The proposed model is based on statistical techniques such as moving averages, linear interpolation smoothing, and linear interpolation. For the experimentation stage, two datasets were selected in Ilo City in southern Peru. Also, five benchmark models were implemented to compare the proposed model results; the benchmark models include exponential weighted moving average (EWMA), autoregressive integrated moving average (AR

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Damayanti, Rizka Fernanda Rumai. "PERAMALAN PENJUALAN AIR MINUM ISI ULANG 19 LITER PADA USAHA DEPOT TIRTA ASRI UNTUK MENINGKATKAN VOLUME PENJUALAN TAHUN 2016 DI DAERAH TAJUR HALANG BOGOR DENGAN METODE FORECASTING." JEBI | Jurnal Ekonomi Bisnis Indonesia 12, no. 02 (2018): 60–72. http://dx.doi.org/10.36310/jebi.v12i02.37.

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Tujuan penelitian ini untuk mengetahui perkembangan usaha dengan melakukan peramalan penjualan pada depot air minum isi ulang Tirta Asri di Tajur Halang Bogor. Metode yang digunakan dalam penelitian ini adalah pendekatan enam metode forecasting. Penelitian ini menunjukkan hasil peramalan untuk exponential smoothing dengan MAD = 186,9520 dan MSE = 44017,0091, weighted moving average dengan MAD = 192 dan MSE = 52418,2866, moving average dengan MAD = 182,8886 dan MSE = 50966,1063, linear regression dengan MAD =134,2571 dan MSE = 22649,1809, naive method dengan MAD =246,4 dan MSE = 73564,8, expone

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Agustina, Yuliany Sylvia, and Haryadi Sarjono. "Analisis Peramalan Penjualan pada PT. Multi Megah Mandiri untuk Tahun 2009." Jurnal Riset Manajemen dan Bisnis 5, no. 1 (2010): 1. http://dx.doi.org/10.21460/jrmb.2010.51.219.

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PT. Mthi Megah Merdrri is a compary that runs a mantfacturebusiness. The entire manufacfuring processes oe done in the compoty. The writer also mafue.s which netlrod is the best mtong thefwe methods based an the result of the smallest etrors of the l,$E and the MAD. The'metlnds usedhere are Moving Average, Double Mwing Average, Weighted Moving overage, Expanenfi.al smoothing" ond uponantial smoothing with trerrd. This resesch uses descrptive meihod. The obiective is to study the sales of PT Mutti Mega lfierdiri in details to get valid dota to predict the sales performance af the comp*ty for th

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Reba, Felix, Alvian Sroyer, Sara Yokhu, and Agustinus Langowuyo. "Perbandingan Metode Weighted Moving Average dan Single Exponential Smoothing Angka Partisipasi Sekolah Wilayah Adat, Papua." Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam 18, no. 2 (2021): 161. http://dx.doi.org/10.31851/sainmatika.v18i2.6617.

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SATO, Masakazu, Katsuya TANlFUJl, and Kenjiro GODA. "1101 Application of smoothing with sine weighted moving average to wear prediction of wheel profile." Proceedings of Conference of Hokuriku-Shinetsu Branch 2011.48 (2011): 339–40. http://dx.doi.org/10.1299/jsmehs.2011.48.339.

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Mongkoltawat, Phunsa, Yupaporn Areepong, and Saowanit Sukparungsee. "Average Run Length Computations of Autoregressive and Moving Average Process using the Extended EWMA Procedure." WSEAS TRANSACTIONS ON MATHEMATICS 23 (May 20, 2024): 371–84. http://dx.doi.org/10.37394/23206.2024.23.40.

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In the past, the control chart served as a statistical tool for detecting process changes. The Exponentially Weighted Moving Average (EWMA) control chart is highly effective for detecting small changes. This research introduces the Extended Exponentially Weighted Moving Average (Extended EWMA) control chart for the Autoregressive and Moving average process with order p = 1 and q = 1 (ARMA(1,1)) The Extended EWMA control chart incorporates two smoothing parameters ( λ1 and λ2 ) derived from the EWMA control chart. A comparative analysis of the performance of the EWMA control chart. The Average

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Shvaiba, D. "Forecasting of socio-economic security indicators by means of exponential smoothing." Bulletin of Science and Practice 5, no. 3 (2019): 241–49. http://dx.doi.org/10.33619/2414-2948/40/30.

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The method of exponential smoothing is widely used in the forecasting of financial and economic characteristics in different sectors of the economy, departments, etc. In the construction of a forecast model by exponential smoothing time series of characteristics of socio–economic security is smoothed with the support of a weighted moving average, in which the weights obey the exponential law. In this case, the following levels of the series are given significant values in comparison with the past, because they carry more important information to determine the predicted values at the level of s

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Shvaiba, D. "Forecasting of socio-economic security indicators by means of exponential smoothing." Bulletin of Science and Practice 5, no. 3 (2019): 241–49. https://doi.org/10.33619/2414-2948/40/30.

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The method of exponential smoothing is widely used in the forecasting of financial and economic characteristics in different sectors of the economy, departments, etc. In the construction of a forecast model by exponential smoothing time series of characteristics of socio–economic security is smoothed with the support of a weighted moving average, in which the weights obey the exponential law. In this case, the following levels of the series are given significant values in comparison with the past, because they carry more important information to determine the predicted values a

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46

Maratos, George, Tiberiu Sosea, and Cornelia Caragea. "Label Smoothing for Emotion Detection (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (2023): 16282–83. http://dx.doi.org/10.1609/aaai.v37i13.27001.

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Automatically detecting emotions from text has countless applications, ranging from large scale opinion mining to social robots in healthcare and education. However, emotions are subjective in nature and are often expressed in ambiguous ways. At the same time, detecting emotions can also require implicit reasoning, which may not be available as surface- level, lexical information. In this work, we conjecture that the overconfidence of pre-trained language models such as BERT is a critical problem in emotion detection and show that alleviating this problem can considerably improve the generaliz

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Zeng, Rongda, Zihao Wu, Shengbang Deng, Jian Zhu, and Xiaoyu Chi. "Adaptive smoothing length method based on weighted average of neighboring particle density for SPH fluid simulation." Virtual Reality & Intelligent Hardware 3, no. 2 (2021): 129–41. http://dx.doi.org/10.1016/j.vrih.2018.12.001.

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Ajiono, Ajiono. "Comparison of Three Time Series Forecasting Methods on Linear Regression, Exponential Smoothing and Weighted Moving Average." IJIIS: International Journal of Informatics and Information Systems 6, no. 2 (2023): 89–102. http://dx.doi.org/10.47738/ijiis.v6i2.165.

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Kelvin, Kelvin, Immanuel Zai, Rizni Aulia Qadri, et al. "Feasibility Analysis of ERP Implementation and Demand Forecasting at RM Pondok Ciung Tanjungpinang." inovator 12, no. 2 (2023): 216–22. https://doi.org/10.32832/inovator.v12i2.17628.

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This study aims to analyze the feasibility of implementing ERP in Supply Chain Management with a qualitative approach and measuring demand forecasting quantitatively in UMKM RM Pondok Ciung Tanjungpinang. Data was obtained by the author through direct interviews. Data is managed using the Weighted Moving Average and Exponential Smoothing formulas which will then be tested for error rates. The findings of this study are that RM Pondok Ciung uses Majoo as a Point of Sales (POS) system and the method that is suitable for demand forecasting is the exponential smoothing method which is tested with

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Saputra, Yustian Dwi, Di Asih I. Maruddani, and Abdul Hoyyi. "ANALISIS TEKNIKAL SAHAM DENGAN INDIKATOR GABUNGAN WEIGHTED MOVING AVERAGE DAN STOCHASTIC OSCILLATOR." Jurnal Gaussian 8, no. 1 (2019): 1–11. http://dx.doi.org/10.14710/j.gauss.v8i1.26617.

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The Stochastic Oscillator which is one of the leading indicators has the disadvantage of opening the gap for false signals. To minimize false signals, the smoothing process is carried out using the Moving Average. Stochastic Oscillator is usually combined with SMA (Simple Moving Average). But SMA has the disadvantage of giving the same weight to all data, even though in reality the data that best reflects the next value is the last data. This makes the basis of weighting the WMA (Weighted Moving Average) method.This study aims to test the combination of Stochastic Oscillator with SMA and WMA a

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