Publication Search

As a business develops, the volume of data generated also increases. With the amount of data that continues to grow, it is necessary to process data that can support the improvement of the quality of business processes. Data processing on Wish can be done by implementing the Extract, Transform, Load process in the data warehouse using Pentaho and visualizing business intelligence with a dashboard using Metabase. The data used in this research is Wish transaction data for the period 2020-2023. The results of this study are a data warehouse using a PostgreSQL database and a dashboard to display Wish's sales performance. The results of the analysis of Wish's sales performance show that during 2020-2023 sales have increased, but most of these sales only come from one country, namely the United States. Therefore, Wish needs to make new innovations to attract customers from other countries.

The development of information and communication technology in Indonesia has grown significantly over the past few years. Thus, there are many opportunities to digitize the business process of a business or business ecosystem. One of them is in the field of digital economy by adapting business processes into a digital platform, such as designing an e-commerce platform in a village that has commodities in it so that related commodities can increase the visibility of their products. This research uses Belega Village as a case study location considering that this village has a commodity in the form of bamboo crafts. Research was conducted to build a web-based bamboo handicraft e-commerce application that would be expected to increase product visibility. The application itself is built using the Agile Development method using the sprint model. This application is built with a microservice architecture with Express.js technology as a backend service and Next.js to create client applications and PostgreSQL as a DBMS. The result of this research is a web-based e-commerce application that is expected to increase the visibility of products from bamboo crafts from Belega Village.

Berdasarkan hasil penelitian yang telah dilakukan CV Marecayasa Media diperoleh data bahwa yang menjadi masalah yaitu dalam proses melakukan presensi yang masih menggunakan cara manual seperti karyawan harus mengisi google form yang di buat terlebih dahulu menyebabkan seringnya terjadi manipulasi data seolah olah karyawan tersebut masuk dikarenakan sulit untuk mengenali karyawan hanya dalam bentuk namanya saja pada saat melakukan presensi.   Dari permasalahan tersebut di atas maka penulis membangun Aplikasi Presensi Berbasis Mobile Dengan Face Recognition dengan tujuan Aplikasi ini agar memudahkan karyawan dalam melakukan presensi masuk, presensi keluar, izin sakit dan izin cuti, serta membantu meminimalisir manipulasi data.   Metode penelitian yang digunakan adalah metode pengembangan perangkat lunak (Scrum) yaitu dari Analisis Kebutuhan, Product Backlog, Sprint Planning, Sprint Backlog, Sprint, Sprint Review  dan Pengujian (Testing). Untuk peracangannya pada aplikasi presensi berbasis mobile dengan face recognition  ini di bangun menggunakan Bahasa pemrorgraman Dart, dengan framework Flutter, serta untuk databasenya menggunakan Postgresql dan Backend API menggunakan baha pemrograman Golang dengan framework GO-Fiber.   Berdasarkan uji coba yang telah di lakukan menggunakan pengujian system black box rancang bangun aplikasi presensi berbasis mobile dengan face recognition berhasil di bangun dan menggunakan uat testing (User Acceptance Testing) mendapatkan presentase sekitar 95% dari aplikasi tersebut.