Mean Absolute Percentage Error untuk Evaluasi Hasil Prediksi Komoditas Laut

Nabillah, Ida; Ranggadara, Indra

doi:10.33633/joins.v5i2.3900

Cited by 41 publications

(38 citation statements)

References 4 publications

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“…The evaluation of this model used the Mean Absolute Percentage Error (MAPE). After obtaining the model, it is necessary to evaluate the forecasting results [12]. It can be calculated using the equation to test the model's accuracy.…”

Section: Reseach Methodsmentioning

confidence: 99%

Comparison of Forecasting Violence Cases Number Against Women and Children Using Double Exponential Smoothing (Des) and Auto Regressive Integrated Moving Average (Arima) Methods

Fadilah

Intan

Utami

2022

BAREKENG: J. Il. Mat. & Ter.

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Violence is something that is being widely discussed. It is due to the increasing number of victims of violence in a scope where victims should feel safe. Therefore, the researchers took this case intending to predict the number of violence cases against women and children in Jakarta so that the government can anticipate the spike in cases and evaluate the policies that will be issued in this case. The data used was from the Office for the Empowerment of Child Protection and Population Control (DPPAPP) of DKI Jakarta Province from January 2018 to October 2021 to predict the number of cases in 2022. Based on the analysis results, it is known that the number of cases of violence against women and children has decreased throughout 2022. In addition, the accuracy of the model using the Double Exponential Smoothing (DES) method is 44.91%, and the Auto-Regressive Integrated Moving Average (ARIMA) is 39.03%.

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Section: Reseach Methodsmentioning

confidence: 99%

Comparison of Forecasting Violence Cases Number Against Women and Children Using Double Exponential Smoothing (Des) and Auto Regressive Integrated Moving Average (Arima) Methods

Fadilah

Intan

Utami

2022

BAREKENG: J. Il. Mat. & Ter.

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“…Adalah Nilai average dari differensiasi Absolut diantara nilai peramalan dan nilai riil yang menghasilkan nilai prosentase dari nilai rill [14] dan dapat dirumuskan sebagai berikut [15] :…”

Section: Mean Absolute Precentage Error (Mape)unclassified

Peramalan Permintaan Produk Cepat Rusak Dengan Metode Moving Average dan Single Exponential Smoothing

Anshori

Widyaningrum

2022

JSE

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Perishable product adalah suatu produk yang sangat rentan mengalami kerusakan salah satunya adalah cabai rawit. UD Sayur Gresik adalah salah satu usaha yang bergerak di bidang sayur yang salah satu produk nya yaitu cabai rawit berdasarkan dari plot data penjualan cabai selama dua bulan adalah pola data stasioner berdasarkan dari pola data tersebut maka peneliti memilih menggunakan metode moving average dan single exponential smoothing karena metode tersebut dapat dipertimbangkan untuk meramalkan permintaan cabai di UD Sayur Gresik serta perbandingan untuk menilai keakurasian dari kedua metode tersebut menggunakan Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), Mean Square Error (MSE) dengan bantuan software minitab untuk mendapatkan hasil secara akurat. Hasil pengolahan data menunjukkan bahwa metode single exponential smoothing lebih baik daripada moving average karena memiliki nilai error lebih kecil sebagai berikut MAPE sebesar 25,621 ; MAD sebesar 23,257 ; MSE sebesar 875,685 Metode tersebut meramalkan bahwa pembelian cabai pada 15 periode berikutnya sebanyak 66,2 kg cabai. Kata Kunci: Cabai rawit, Moving average, Single exponential smoothing, Peramalan, Stasioner.

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“…Semakin rendah nilai MAPE, kemampuan dari model peramalan yang digunakan dapat dikatakan baik [19]. Nilai MAPE dapat dihitung dengan menggunakan persamaan berikut [20].…”

Section: Pengujianunclassified

Analysis of the AHP-WP Method in the Decision Support System for the Assessment of Outstanding Students at ITEKES Bali

2022

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Purpose: This study aims to analyze and determine the effectiveness of the combination of decision-making methods in the selection of outstanding students using the Analytical Hierarchy Process (AHP) and Weighted Product (WP) methods.Design/methodology/approach: A quantitative approach is used to analyze the combination of AHP and WP methods in determining outstanding students. The ranking results were analyzed using Mean Absolute Percentage Error (MAPE).Findings/result: This research produces a combination analysis of the AHP and WP decision-making methods, so that it can be used for implementation into information systems.Originality/value/state of the art: The difference between this study and previous studies is the combination of methods used in this study. An analysis of the effect of several variables in increasing accuracy is also produced.

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Mean Absolute Percentage Error untuk Evaluasi Hasil Prediksi Komoditas Laut

Cited by 41 publications

References 4 publications

Comparison of Forecasting Violence Cases Number Against Women and Children Using Double Exponential Smoothing (Des) and Auto Regressive Integrated Moving Average (Arima) Methods

Comparison of Forecasting Violence Cases Number Against Women and Children Using Double Exponential Smoothing (Des) and Auto Regressive Integrated Moving Average (Arima) Methods

Peramalan Permintaan Produk Cepat Rusak Dengan Metode Moving Average dan Single Exponential Smoothing

Analysis of the AHP-WP Method in the Decision Support System for the Assessment of Outstanding Students at ITEKES Bali

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