Search Results - "Sartono, Bagus"
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1
Model averaging in calibration of near-infrared instruments with correlated high-dimensional data
Published in Journal of applied statistics (25-01-2024)“…Model averaging (MA) is a modelling strategy where the uncertainty in the configuration of selected variables is taken into account by weight-combining each…”
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2
Bias correction and ensemble techniques in statistical downscaling model for rainfall prediction using Tweedie-LASSO in West Java, Indonesia
Published in Journal of agrometeorology (01-09-2024)“…Rainfall is a climate element with high variations in space and time scales, so it is not easy to predict. One way to predict rainfall is statistical…”
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3
The Role of 7P Marketing Mix toward Consumer Satisfaction and Loyalty of XYZ Beauty Clinic
Published in Journal of consumer sciences (Online) (31-01-2024)“…The XYZ Beauty Clinic has many branches throughout Indonesia, including the Metropolitan Mall (MM) Bekasi branch, which has been established since 2011. Over…”
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4
COMPARISON OF LOGISTIC MODEL TREE AND RANDOM FOREST ON CLASSIFICATION FOR POVERTY IN INDONESIA
Published in Media statistika (Online) (22-12-2023)“…Classification methods are commonly employed to ensure homogeneous data within each group, facilitating the prediction of specific categories. The most…”
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Studi bibliometrik tentang trend penelitian restrukturisasi organisasi riset menggunakan VOSviewer
Published in Berkala ilmu perpustakaan dan informasi (20-11-2023)“…Introduction. The development of organizational restructuring has growth rapidly. The research aims to see and find out the development of research trends on…”
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6
Does Subjective Well-Being and Perceived Organizational Can Support Startup Employees’ Performance During Hybrid Workforce Era?
Published in Jurnal Aplikasi Bisnis dan Manajemen (30-09-2023)“…The hybrid workforce is a combined work from an office and remote working implemented by many companies after the pandemic subsided. This study analyzed the…”
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Effect of Product Attributes, Promotions, and Motivation on Subsidized Home Buying Decisions
Published in Jurnal Aplikasi Bisnis dan Manajemen (30-09-2023)“…Subsidized housing is a government program with the aim of meeting the housing needs of low-income peoplewhere subsidies or housing financing assistance are in…”
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Study on the performance of Robust LASSO in determining important variables data with outliers
Published in Jurnal natural (12-03-2023)“…A variable selection method is required to deal with regression models with many variables, and LASSO has been the most widely used methodology. However, as…”
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Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models
Published in Geospatial health (03-10-2024)“…Stunting continues to be a significant health issue, particularly in developing nations, with Indonesia ranking third in prevalence in Southeast Asia. This…”
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Investigating The Asymmetric Effect of Food Commodity Price on The Volatility in Indonesia
Published in Jurnal manajemen & agribisnis (28-11-2023)“…Volatility can be measured, but in fact, there is still frequent debate over the selection of precise measurements in describing volatility. In Indonesia, the…”
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Rainfall modeling with CMIP6-DCPP outputs and local characteristic information using eigenvector spatial filtering varying coefficient (ESF-VC)
Published in Journal of agrometeorology (01-09-2024)“…Estimating rainfall at a point or region is difficult because complex factors affect rainfall. A helpful strategy is to utilize the GCM output information…”
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12
EXTRA TREES METHOD FOR STOCK PRICE FORECASTING WITH ROLLING ORIGIN ACCURACY EVALUATION
Published in Media statistika (Online) (27-07-2022)“…Stock is an investment instrument that has risk in its management. One effort to minimize this risk is to model and make further forecasts of stock price…”
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Technical Analysis of the Indonesian Stock Market with Gated Recurrent Unit and Temporal Convolutional Network
Published in Juita : jurnal informatika (Online) (07-11-2024)“…Big data is essential in the age of 4.0 industry as it becomes the basis of decision making. Deep learning research in the last few years has been proven…”
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14
Implementation of Winsorizing and random oversampling on data containing outliers and unbalanced data with the random forest classification method
Published in Jurnal natural (30-06-2022)“…Many researchers conduct research using the classification method, to find out the best method for predicting the class of an observation. Some of these…”
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A STUDY OF GENERALIZED LINEAR MIXED MODEL FOR COUNT DATA USING HIERARCHICAL BAYES METHOD
Published in Media statistika (Online) (11-01-2022)“…Poisson Log-Normal Model is one of the hierarchical mixed models that can be used for count data. Several estimation methods can be used to estimate the model…”
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16
Pemodelan topik pada dokumen paten terkait pupuk di Indonesia berbasis Latent Dirichlet Allocation
Published in Berkala ilmu perpustakaan dan informasi (19-11-2021)“…Introduction. Fertilizer is one of the most important production factors in the world of agriculture. It is crucial to increase the capacity of technology…”
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A Combination of Generalized Linear Mixed Model and LASSO Methods for Estimating Number of Patients Covid 19 in the Intensive Care Units
Published in Cauchy (12-11-2021)“…Generalized linear mixed models (GLMM) combined with the L1 penalty (Least Absolute Shrinkage and Selection Operator/LASSO) is called LASSO GLMM. LASSO GLMM…”
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Performance of LAD-LASSO and WLAD-LASSO on High Dimensional Regression in Handling Data Containing Outliers
Published in JTAM (Jurnal Teori dan Aplikasi Matematika) (Online) (07-10-2022)“…In several research areas, it is common to have a dataset with more explanatory variables than the number of observations, called high-dimensional data. This…”
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Application of SHAP on CatBoost classification for identification of variabels characterizing food insecurity occurrences in Aceh Province households
Published in Jurnal natural (31-10-2023)“…Classification is the process of building a model that can distinguish between different classes of data. The model aims to predict the class of testing data…”
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A generalized linear mixed model for understanding determinant factors of student's interest in pursuing bachelor's degree at Universitas Syiah Kuala
Published in Jurnal natural (24-06-2021)“…Generalized Linear Mixed Model (GLMM) is a framework that has a response variable, fixed effects, and random effects. The response variable comes from an…”
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