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All Journal Intelmatics
Binti Sholihah
Fakultas Teknologi Industri, Universitas Trisakti
Computer Science & IT

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Prediction of Inefficiency in Health Insurance Administration Institutions in Indonesia using Light Gradient Boosting Machine Kevin Valerian Ninia; Binti Sholihah; Abdul Rochman
Intelmatics Vol. 3 No. 1 (2023): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v3i1.15985

Abstract

Everyone understands that health is something that must be considered and should not be ignored. Therefore, the government seeks to form institutions that can organize health social security for the community. However, in practice it is not often found that there are cases of waste in the services provided (inefficiency). So that research was carried out using the Light Gradient Boosting Machine (LightGBM) to provide solutions for solving cases of waste (inefficiency) in health social security administering institutions.
Paper Visualisasi Data Pembelian Barang dan Jasa Pada PT. Transcoal Pacific Menggunakan Exploratory Data Analysis: Visualization of Goods and Services Purchase Data at PT. Transcoal Pacific Using Exploratory Data Analysis Chandra Ganda Manuel Malau; Binti Sholihah; Agus Salim
Intelmatics Vol. 3 No. 1 (2023): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v3i1.16302

Abstract

The comfort and safety of the ship's crew in carrying out the voyage relies on the goods facilities and ship maintenance in carrying out shipping operations. In this case PT. Transcoal Pacific as a company engaged in logistics delivery services monitors with vendors engaged in the supply of goods in providing services in the form of ship crews and ship crews. However, in the implementation of business processes, there is no visual data that can provide information for companies regarding the purchase of goods and comparisons from 2 other branches. In this study, the preprocessing stage was carried out to eliminate inaccurate parts of the dataset and tables to create data visualization. After that, Exploration Data Analysis was carried out to obtain graphs to strengthen the analysis carried out. The expected result of this research is to form a dashboard as a place to visually process information to make the right decisions to improve business performance more effectively.
Co-Authors Abdul Rochman Agus Salim Chandra Ganda Manuel Malau Kevin Valerian Ninia