Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRAKMaraknya perkembangan e-commerce di Indonesia menjadi sebuah pintu strategis bagi para pelaku usaha untuk memperdagangkan produk-produk impor. Namun, hal ini menjadi sebuah pemicu timbulnya persaingan yang tidak sehat dengan Industri Dalam Negeri dan dapat berpengaruh secara langsung terhadap eksistensi dan performa dari Industri dalam Negeri. Penelitian ini bertujuan untuk menganalisis mengenai kebijakan penurunan ambang batas pembebasan bea masuk impor barang kiriman melalui e-commerce yang ditetapkan pemerintah sebagai sebuah solusi dari isu tersebut. Penelitian ini berfokus pada analisis kebijakan penurunan ambang batas pembebasan bea masuk impor barang kiriman melalui e-commerce yang membahas mengenai urgensi dikeluarkannya kebijakan dan kerjasama pemerintah dengan e-commerce dalam penerapan kebiajkan ini. Selain itu, penelitian ini juga membahas mengenai hambatan-hambatan yang muncul dari dikeluarkannya kebijakan ini. Penelitian ini adalah penelitian kualitatif dengan jenis penelitian deskriptif. Hasil penelitian ini menunjukan urgensi dikeluarkannya kebijakan tersebut adalah untuk penekanan jumlah impor barang kiriman, perlindungan Industri Dalam Negeri dan menciptakan perlakuan perpajakan yang adil serta penghindaran praktik modus Barang Kiriman. Hambatan yang muncul sebelum dikeluarkannya kebijakan adalah mengenai ketersediaan data, sedangkan hambatan saat dikeluarkannya kebijakan adalah mengenai Keluhan Publik, Dampak Pandemi, dan Peningkatan Jumlah Dokumen Pembayaran.

---

ABSTRACT

The development of e-commerce in Indonesia has become a strategic door for businesses to trade imported products. However, this has become a trigger for unfair competition with domestic industries and can directly affect the existence and performance of domestic industries. This study aims to analyze the policy of Decreasing De Minimis Value of Import Duties for Imported Shipping Goods via E-Commerce determined by the government as a solution to the issue. This research focuses on analyzing the policy of decreasing de minimis value of import duties on imported shipments via e-commerce which discusses the urgency of issuing policies and the cooperation of the government with e-commerce in the application of this policy. In addition, this study also discusses the obstacles that arise from the issuance of this policy. This research is a qualitative research with descriptive research type. The results of this study indicate the urgency of the issuance of the policy is to reduce the number of imported shipments, protection of the Domestic Industry and create equal tax treatment and the effort to avoid the Shipment mode practice. The obstacles before the issuance of the policy were the availability of data, while the obstacles during the issuance of the policy are about Public Complaints, the Impact of the Pandemic, and the Increase in the Amount of Payment Documents."

"Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. Its goal is to demystify neural networks, putting them firmly in a statistical context rather than treating them as a black box. This approach is in contrast to existing books, which tend to treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model.

The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and methods to deal with this issue, exploring a number of ideas from statistics and machine learning. A detailed discussion on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, Bayesian Nonparametrics via Neural Networks will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.

To illustrate the major mathematical concepts, the author uses two examples throughout the book: one on ozone pollution and the other on credit applications. The methodology demonstrated is relevant for regression and classification-type problems and is of interest because of the widespread potential applications of the methodologies described in the book."