Alya Syifa Fadilah, - and Dian Permata Sari, - (2025) PERANCANGAN SISTEM ERP (ENTERPRISE RESOURCE PLANNING) UNTUK TEACHING FACTORY DI SMK BERBASIS CLOUD COMPUTING. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Penelitian ini bertujuan untuk merancang sistem Enterprise Resource Planning (ERP) berbasis cloud computing yang dapat diterapkan pada Teaching Factory di SMK menggunakan Odoo Community. Latar belakang penelitian berawal dari proses operasional Teaching Factory di SMKN 1 Purwakarta yang masih dilakukan secara manual menggunakan buku catatan dan Microsoft Excel, sehingga berpotensi menimbulkan kesalahan pencatatan, duplikasi data, keterlambatan pembuatan laporan, serta tidak adanya integrasi data secara real-time. Metode pengembangan yang digunakan adalah Rapid Application Development (RAD) dengan empat tahap utama, yaitu perencanaan kebutuhan, desain sistem, pengembangan, dan implementasi prototipe. Sistem dirancang dengan memanfaatkan modul standar Odoo Community, khususnya modul Sales dan Invoicing tanpa memodifikasi kode, serta menggunakan model layanan Infrastructure-as-a-Service (IaaS) yang dijalankan secara localhost sebagai simulasi. Proses desain melibatkan pemodelan UML (use case diagram, activity diagram, sequence diagram, dan class diagram) serta pembuatan prototype untuk divalidasi bersama pengguna. Pengujian dilakukan menggunakan metode blackbox testing yang berfokus pada pengujian fungsionalitas sistem sesuai kebutuhan pengguna. Hasil pengujian menunjukkan bahwa sistem berjalan stabil, mampu mencatat transaksi penjualan, membuat faktur secara otomatis, serta menampilkan laporan penjualan real-time. Kesimpulannya, sistem ERP berbasis cloud computing ini telah memenuhi kebutuhan operasional Teaching Factory dan dapat menjadi solusi efektif untuk meningkatkan efisiensi, akurasi, dan integrasi proses bisnis di SMK. ----- This study aims to design a cloud computing-based Enterprise Resource Planning (ERP) system that can be applied to Teaching Factories in vocational schools using Odoo Community. The background of this research stems from the operational processes of the Teaching Factory at SMKN 1 Purwakarta, which are still conducted manually using notebooks and Microsoft Excel, thereby potentially leading to recording errors, data duplication, delayed report generation, and the absence of real-time data integration. The development method used is Rapid Application Development (RAD) with four main stages: requirements planning, system design, development, and prototype implementation. The system is designed using standard Odoo Community modules, specifically the Sales and Invoicing modules without modifying the code, and employs an Infrastructure-as-a-Service (IaaS) model running on a localhost as a simulation. The design process involved UML modeling (use case diagram, activity diagram, sequence diagram, and class diagram) and the creation of a prototype for validation with users. Testing was conducted using the blackbox testing method, which focused on testing the functionality of the system according to user needs. The test results showed that the system ran stably, was able to record sales transactions, automatically generate invoices, and display real-time sales reports. In conclusion, this cloud-based ERP system has met the operational needs of the Teaching Factory and can serve as an effective solution to enhance efficiency, accuracy, and business process integration at vocational schools.
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| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?hl=en&user=5m_Ftu8AAAAJ ID Sinta Dosen Pembimbing: Dian Permata Sari :6160445 |
| Uncontrolled Keywords: | ERP, cloud computing, Odoo Community, Teaching Factory, RAD ERP, cloud computing, Odoo Community, Teaching Factory, RAD |
| Subjects: | L Education > L Education (General) T Technology > T Technology (General) |
| Divisions: | UPI Kampus Purwakarta > S1 Pendidikan Sistem Teknologi dan Informasi |
| Depositing User: | Alya Syifa Fadilah |
| Date Deposited: | 02 Sep 2025 03:36 |
| Last Modified: | 02 Sep 2025 03:36 |
| URI: | http://repository.upi.edu/id/eprint/137193 |
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