Judul: Application of Text Mining in E-Commerce Analytics Tool for Classifying Sales of Illegal Processed Food Products.
Abstrak: E-commerce telah menjadi salah satu sektor ekonomi digital terbesar di Indonesia, dengan kategori makanan dan minuman, termasuk pangan olahan, menempati urutan teratas sebagai barang yang paling banyak dicari pada tahun 2023. Pertumbuhan ini juga meningkatkan risiko peredaran obat dan makanan ilegal secara daring. Badan Pengawas Obat dan Makanan (BPOM) melalui Direktorat Cegah Tangkal, telah mengembangkan E-Commerce Analytics Tool (EAT) guna membantu pencegahan peredaran produk ilegal di situs e-commerce. Penelitian ini bertujuan untuk menemukan metode klasifikasi yang paling tepat dan mengembangkan mesin klasifikasi pada EAT guna mengidentifikasi produk pangan olahan ilegal secara otomatis. Metode klasifikasi yang diuji dalam penelitian ini meliputi Multinomial Na, E-commerce has become one of the largest digital economic sectors in Indonesia. BPS states that food and beverages, including processed food, occupy the top spot in the category of goods most searched for in e-commerce in 2023. This growth can also increase the risk of illegal drug and food distribution online. BPOM developed the E-Commerce Analytics Tool (EAT) to help prevent the circulation of illegal products on e-commerce sites. Analytical tools are needed to identify illegal processed food products. This research aims to find the most appropriate classification method and develop a classification engine in EAT to identify products automatically. Multinomial Naive Bayes, Random Forest, and K-Nearest Neighbors as well as the Bag of Words and TF-IDF feature extraction methods were used as candidate classification methods in this research. Random Forest with TF-IDF outperforms other methods with a precision of 0.860, recall of 0.848, and F1 score of 0.854. This model is then implemented in the form of a model inference workflow to identify illegal processed food products automatically.
Keyword: e-commerce, text mining, pangan olahan, web scraping

Judul: Application of Text Mining in E-Commerce Analytics Tool for Classifying Sales of Illegal Processed Food Products.
Abstrak: E-commerce telah menjadi salah satu sektor ekonomi digital terbesar di Indonesia, dengan kategori makanan dan minuman, termasuk pangan olahan, menempati urutan teratas sebagai barang yang paling banyak dicari pada tahun 2023. Pertumbuhan ini juga meningkatkan risiko peredaran obat dan makanan ilegal secara daring. Badan Pengawas Obat dan Makanan (BPOM) melalui Direktorat Cegah Tangkal, telah mengembangkan E-Commerce Analytics Tool (EAT) guna membantu pencegahan peredaran produk ilegal di situs e-commerce. Penelitian ini bertujuan untuk menemukan metode klasifikasi yang paling tepat dan mengembangkan mesin klasifikasi pada EAT guna mengidentifikasi produk pangan olahan ilegal secara otomatis. Metode klasifikasi yang diuji dalam penelitian ini meliputi Multinomial Na
Keyword: e-commerce, text mining, pangan olahan, web scraping

Judul: Hamiltonian formulation for linear waves motion in two layers fluid
Abstrak: The surface wave could be considered as a wave that separates two fluids, namely water and air. Based on this assumption, it is introduced the interfacial wave, a wave between two layers of fluid with different density. The formulation of interfacial waves motion begins with deriving the base equation of irrotational ideal fluid. Furthermore, according to irrotational fluid assumption, the base equation can be stated in velocity potential. In this derivation, the fluids domain is assumed to be restricted by rigid lid boundary conditions, both at the upper and lower limit. Therefore, the interfacial waves motion can be explained in a hamiltonian formulation. In the hamiltonian formulation, total energy is defined as the sum of kinetic and potential energy. The hamiltonian system is obtained from reduction of kinetic energy by using the Dirichlet Neumann Operator. The resulted kinetic energy equation is nonlinear. Therefore, this form is linearized by first part of the Taylor expansion. This linearization gives a dispersion relation of linear wave. Based on this dispersion relation, the phase speed of the linear wave depends on the density ratio of the two layers fluid.
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