Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO)

Ahmar, Ansari Saleh; Guritno, Suryo; Abdurakhman, Abdurakhman; Rahman, Abdul Aziz Abdul; Alimuddin, Alimuddin; Minggi, Ilham; Tiro, Muhammad Arif; Aidid, Muhammad Kasim; Annas, Suwardi; Sutiksno, Dian Utami; Ahmar, Dewi Satria; Ahmar, Kurniawan H; Ahmar, A Abqary; Zaki, Ahmad; Abdullah, Dahlan; Rahim, Robbi; Nurdiyanto, Heri; Park, Hyunjoo; Napitupulu, Darmawan; Simarmata, Janner; Kurniasih, Nuning; Abdillah, Leon Andretti; Pranolo, Andri; Haviluddin, .; Albra, W; Arifin, Andi Nurani Mangkawani

doi:10.1088/1742-6596/954/1/012010

Cited by 26 publications

(22 citation statements)

References 7 publications

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“…Backpropagation is a method used in the artificial neural network to calculate the contribution of each neurons error after a batch of data is processed. The input vectors and the corresponding target vector are used to train a network till it can approximate a certain target [15], [11][12]. Using Feed Forward NN (FFNN), the Artificial Neural Network-Back Propagation (ANN-BP) is shown in Figure 2.…”

Section: Experimental Detailmentioning

confidence: 99%

Minimum wage prediction based on K-Mean clustering using neural based optimized Minkowski Distance Weighting

Hiswati¹,

Gaffar²,

Rihartanto³

et al. 2018

IJET

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Minimum Wage is a minimum standard used by employers to provide wages to workers in their business environment. The national minimum wage is the average of the provincial minimum wage. There are many factors need to be considered to set a minimum wage. The aim of this study is to predict the minimum wage based on K-Mean clustering concept. The Minkowski Distance Weighting (MDW) then used to estimate a value at the observation point in a cluster by using a linear combination of values of all cluster members around observation point mapped in 3-dimensional Cartesian coordinates. The prediction result by MDW then optimized by Artificial Neural Network Back Propagation (ANN-BP) to obtain a smaller Mean Absolute Percentage Error (MAPE). The net structure which already trained then used to predict the minimum wage for next year.

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Section: Experimental Detailmentioning

confidence: 99%

Minimum wage prediction based on K-Mean clustering using neural based optimized Minkowski Distance Weighting

Hiswati¹,

Gaffar²,

Rihartanto³

et al. 2018

IJET

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“…Indicator [4][5] , ARIMA-AO [6] , α-Sutte Indicator [7][8], Artificial Neural Network [9][10] and HoltWinters [3]. In this research, ARIMA and α-Sutte Indicator predicting method will be used.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of α-Sutte Indicator and ARIMA Methods in Renewable Energy Forecasting in Indonesia

Ahmar¹

2018

IJET

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Humans in this world are very dependent on petroleum and energy. Petroleum and other energies are a major source in supporting human life. Regarding the reduced petroleum availability, a new energy is needed to replace the role of petroleum. Nowadays, there is much renewable energy that have been discovered and used. The purpose of this research is to predict the total primary energy supply in Indonesia by using α-Sutte Indicator and ARIMA method, and comparing those four methods which are effective in predicting data. Data from the research is renewable energy (total primary energy supply) which is obtained from OECD from . From the research, it is found that the α-Sutte Indicator method is more suitable to predict renewable energy (total primary energy supply) data in Indonesia compared to ARIMA (0,1,0).

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“…It is believed that every form of architecture created is always born out of the need for space to accommodate specific activities [4], [5]. Human as user, will always gave meaning to relation between activities [6], [7] with created space. Humans also always gave meaning to the relation of space with the enclosure elements [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Interpretation of the Meaning of Mosque Architecture : A Case Study Mosque 99 Cahaya in Lampung, Sumatera Island, Indonesia

Salura¹,

Clarissa²

2018

IJET

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This research traced the relationship that exists between the expressions of mosque architecture with the meaning created. The method used for this research is: Firstly, recording building which is based on the theory about the scope of the building. Secondly, described the entire composition and building properties. Thirdly, interpreted the meaning that is created both on the outside and in the view of the space inside. Based on the results of the analysis, it can be concluded that the outside architectural form of the mosque tends to be interpreted as an abstract monument. While it's inner space interpreted as a shelter that has nothing to do with its function as a religious building. This research is expected to give theoretical contribution to the knowledge of architecture that is by formulating new method to interpret expression of architectural form in general and specifically on the mosque architecture. While in practice, this research could be used as a reference in designing mosque architecture. In addition to scientific and architectural practices, this research could be used as a source of knowledge and offered an alternative perspective for the wider community in appreciating the work of architecture

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Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO)

Cited by 26 publications

References 7 publications

Minimum wage prediction based on K-Mean clustering using neural based optimized Minkowski Distance Weighting

Minimum wage prediction based on K-Mean clustering using neural based optimized Minkowski Distance Weighting

A Comparison of α-Sutte Indicator and ARIMA Methods in Renewable Energy Forecasting in Indonesia

Interpretation of the Meaning of Mosque Architecture : A Case Study Mosque 99 Cahaya in Lampung, Sumatera Island, Indonesia

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