Prediksi Jumlah Penduduk Miskin Indonesia menggunakan Metode Single Moving Average dan Double Moving Average

Kusuma, Febrian Indar Surya; Ahsan, Moh.; Syahminan, Syahminan

doi:10.36499/jinrpl.v3i2.4594

Cited by 7 publications

(7 citation statements)

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“…ArcGIS 10.3.1 software was employed in quantitative analysis to analyze coastline changes and spatially map them. The subsequent steps involved calculating forecasts for future occurrences in 2050 using historical data through Single Moving Average (SMA) and Double Moving Average (DMA) techniques (Mustapa et al, 2019;Kusuma et al, 2021;Lukman and Tanan, 2021).…”

Section: Data Collection and Analysis Techniquesmentioning

confidence: 99%

Study of coastal land change in sand mining activities in Bandar Batauga Village, South Buton Regency, Indonesia

Mappasomba,

Suleman

2024

J. Degrade. Min. Land Manage.

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This research focused on land changes in Bandar Batauga Village, South Buton Regency, Indonesia, related to environmentally damaging sand mining activities. The primary objective of this research was to analyze land evolution in coastal settlement areas vulnerable to disasters, with an emphasis on the impact of sand mining until the year 2050. The research methods encompassed quantitative and qualitative approaches, including coastal change analysis using ArcGIS, in-depth interviews, and statistical methods. The research findings highlighted a significant increase in coastline changes, reaching an erosion area of 511.3 m² in 2022. Projections until 2050 indicate a potential maximum erosion of 1,157.22 m². This research employed the analytic hierarchy process, focusing on social, economic, physical, and biotic environmental aspects to formulate disaster mitigation strategies. However, implementing environmental management policies faces challenges, such as a lack of competence in relevant departments and low awareness among mining permit owners. Therefore, strategic recommendations involve enhancing human resource capacity, strengthening oversight, and providing economic support as critical steps to reduce mining activities.

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Section: Data Collection and Analysis Techniquesmentioning

confidence: 99%

Study of coastal land change in sand mining activities in Bandar Batauga Village, South Buton Regency, Indonesia

Mappasomba,

Suleman

2024

J. Degrade. Min. Land Manage.

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“…Sedangkan untuk metode Double Moving Average adalah suatu teknik untuk menghitung suatu trend [23]. Double Moving Average merupakan suatu metode untuk memprediksi dengan deret waktu yang menggunakan nilai rata-rata dari lebih satu nilai deret waktu secara berurutan [24]. Metode ini diperoleh setelah melakukan perhitungan yang pertama dan dilakukan perhitungan kembali dengan memberikan nilai konstanta dan slope b. Oleh karena itu penelitian ini diharapkan dapat membantu perusahaan untuk meramalkan hasil produksi kernel kelapa sawit dimasa yang akan datang.…”

Section: Pendahuluanunclassified

Implementasi Triple Exponential Smoothing dan Double Moving Average Untuk Peramalan Produksi Kernel Kelapa Sawit

Sandika,

Gusti,

Handayani

et al. 2023

josh

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The production of palm kernel is a significant product for the company and plays a crucial role. Nevertheless, the stability of kernel production is not always consistent, and the quality of the kernel can be detrimental to the company. As consumer demands change over time, companies must anticipate every fluctuation in palm kernel production. Hence it is vital to figure the long run with a settlement prepare utilizing information mining utilizing information within the past. The Triple Exponential Smoothing and Double Moving Average methods, which are data mining methods for future forecasting, were used in this study. The aim of this research is to predict the yield of future oil palm kernel production using the Triple Exponential Smoothing and Double Moving Average methods and to determine the level of forecasting errors using the Mean Absolute Percentage Error (MAPE) method. The data for the last ten years, from January 2013 to December 2022, were used in this study. After testing the Triple Exponential Smoothing method with parameters α=0.2,β=0.γ=0.2, the error rate using MAPE was 9.48%, and the Double Moving Average method had an error rate of 11.2%. The MAPE results of the Triple Exponential Smoothing method are considered very good, while the MAPE results of the Double Moving Average method are categorized as good based on the range of MAPE values. This research is expected to provide information to related companies as a supporting reference in anticipating palm oil kernel production. The conclusion of the research is that the Triple Exponential Smoothing method with the test parameters is the best method for forecasting.

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“…3) MAPE (Mean Absolute Percent Error) MAPE is the average of the absolute difference (absolute) between the forecast and actual values, then displayed as a percentage of the actual values [20]. The formula for calculating MAPE is:…”

Section: Descriptionmentioning

confidence: 99%

Implementation of The Moving Average Method for Forecasting Inventory in CV. Tre Jaya Perkasa

Huriati

Erianda²,

Alanda³

et al. 2022

ijasce

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The supply chain is an organization's place to distribute production goods and services to customers. This chain is a network of various organizations that are interrelated and have the aim of carrying out the procurement or supply of goods. Inventory is storing goods in the form of raw materials, semi-finished goods or finished goods that will be used in the production or distribution process. CV. Tre Jaya Perkasa is a company engaged in the distribution of goods such as snacks, drinks and daily necessities. CV. Tre Jaya Perkasa is located in Solok, West Sumatra, Indonesia. From January 2020 to June 2021, CV. Tre Jaya Perkasa has made more than 10 thousand transactions. Based on the sales data, each period (month) of sales transactions can increase and decrease, and the company must plan product sales in the coming period. To maximize profits and minimize losses, a strategy is needed to maintain the availability of goods that are often purchased by customers. From historical transaction data, the company can predict how much stock should be provided for transactions in the coming period. The method used is the moving average method, to measure the error rate of forecasting, MAD, MSE and MAPE are used. Based on the research that has been done, then carried out on the product Trick Potato Biscuit BBQ 24 BOX X 10X18 forecasting comparison between using 3 periods and 5 periods, using 5 product data that are most often purchased by buyers, it was found that the average value of MAD, MSE and MAPE closer to 0 is to use 3-period forecasting.

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Prediksi Jumlah Penduduk Miskin Indonesia menggunakan Metode Single Moving Average dan Double Moving Average

Cited by 7 publications

References 0 publications

Study of coastal land change in sand mining activities in Bandar Batauga Village, South Buton Regency, Indonesia

Study of coastal land change in sand mining activities in Bandar Batauga Village, South Buton Regency, Indonesia

Implementasi Triple Exponential Smoothing dan Double Moving Average Untuk Peramalan Produksi Kernel Kelapa Sawit

Implementation of The Moving Average Method for Forecasting Inventory in CV. Tre Jaya Perkasa

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