Browse Items (9465 total)

The Office of Communication and Informatics (DISKOMINFO) is an agency engaged in the fields of communication,
informatics, coding and statistics. Based on the results of interviews with the Head of Application and Informatics DISKOMINFO
Tasikmalaya…

— The Warehouse Management System (WMS) is software designed to assist in managing and monitoring warehouse processes.
The purpose of this research is to improve warehouse operational management by developing a WMS using the Extreme…

The growth of internet users is fantastic, before the pandemic the figure was only 175 million. While the latest data from the
Asosiasi Penyelenggaraan Jasa Internet Indonesia (APJII), in 2022 internet users in Indonesia will reach around 210…

— Currently, the success and continuity of a company or organization is very much based on IT, in terms of speed and results
that can help increase the effectiveness and efficiency of business processes to achieve goals. In its implementation, the…

Contemporary empirical applications frequently require flexible regression models for
complex response types and large tabular or non-tabular, including image or text, data.
Classical regression models either break down under the computational load…

The parameters of a statistical model can sometimes be difficult to interpret substantively, especially when that model includes nonlinear components, interactions, or
transformations. Analysts who fit such complex models often seek to transform raw…

The R package innsight offers a general toolbox for revealing variable-wise interpretations of deep neural networks’ predictions with so-called feature attribution methods.
Aside from the unified and user-friendly framework, the package stands out…

Spatial and spatiotemporal machine-learning models require a suitable framework for
their model assessment, model selection, and hyperparameter tuning, in order to avoid
error estimation bias and over-fitting. This contribution provides an overview…

Shape-constrained nonparametric regression is a growing area in econometrics, statistics, operations research, machine learning, and related fields. In the field of productivity
and efficiency analysis, recent developments in multivariate convex…

Birth-and-death processes (BDPs) form a class of continuous-time Markov chains that
are particularly suited to describing the changes in the size of a population over time.
Population-size-dependent BDPs (PSDBDPs) allow the rate at which a…