Dzakwan, Rakha Hanif (2026) Pengembangan Simulator Otomatis untuk Pengujian Modul Switchgear menggunakan PLC dan HMI dengan Metode Decision Tree untuk Evaluasi Proses Quality Control di PT Siemens Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Modul Switchgear merupakan peralatan pada sistem distribusi tenaga listrik yang berfungsi untuk mengendalikan, melindungi, dan mendistribusikan aliran listrik. Sebelum digunakan, setiap modul Switchgear harus melalui proses Factory Routine Test (FRT) untuk memastikan seluruh fungsi dan parameter kelistrikannya bekerja sesuai standar. Pada proses Quality Control, pengujian masih dilakukan menggunakan simulator konvensional yang memerlukan perubahan konfigurasi wiring secara manual sehingga waktu pengujian menjadi lebih lama, berpotensi menimbulkan kesalahan, serta menyulitkan proses dokumentasi. Penelitian ini mengembangkan simulator pengujian menggunakan Programmable Logic Controller (PLC) dan Human Machine Interface (HMI) yang terintegrasi dengan sistem akuisisi data, model klasifikasi Decision Tree, dashboard monitoring, dan Approval Report. Data hasil pengujian diproses secara otomatis untuk menentukan status APPROVED atau Non-Conformance Report (NCR). Hasil penelitian menunjukkan bahwa sistem mampu mengintegrasikan proses konfigurasi, evaluasi, monitoring, dan dokumentasi ke dalam satu alur kerja sehingga tidak lagi memerlukan perubahan wiring untuk setiap variasi modul. Waktu pengujian berkurang sebesar 37,4% dibandingkan metode konvensional, sedangkan model Decision Tree memperoleh akurasi klasifikasi sebesar 97,12%. Integrasi tersebut menghasilkan proses Quality Control yang lebih terstruktur, cepat, dan terdokumentasi sehingga dapat mendukung digitalisasi pengujian modul Switchgear.
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Switchgear modules are essential components in electrical power distribution systems that function to control, protect, and distribute electrical power. Before being deployed, each module must undergo a Factory Routine Test (FRT) to ensure that its electrical characteristics and functional performance comply with the required standards. In the existing Quality Control process, testing is still performed using a conventional simulator that requires manual rewiring for different module configurations. This approach increases testing time, raises the possibility of operator error, and makes test documentation less efficient. This study develops a Switchgear module testing simulator based on a Programmable Logic Controller (PLC) and a Human Machine Interface (HMI), integrated with a data acquisition system, a Decision Tree classification model, a monitoring dashboard, and an Approval Report. The acquired test data are processed automatically to determine whether each I/O pin is classified as APPROVED or Non-Conformance Report (NCR). The developed system integrates configuration, evaluation, monitoring, and documentation into a single workflow, eliminating the need for manual rewiring when testing different module configurations. Experimental results show that the proposed system reduces testing time by 37.4% compared with the conventional method, while the Decision Tree model achieves a classification accuracy of 97.12%. Overall, the developed system provides a more structured, efficient, and well-documented Quality Control process, supporting the digitalization of Switchgear module testing.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Switchgear, Factory Routine Test, Programmable Logic Controller, Decision Tree, Quality Control, Siemens. |
| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T55 Industrial Safety T Technology > T Technology (General) > T58.62 Decision support systems T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control |
| Divisions: | Faculty of Vocational > 36304-Automation Electronic Engineering |
| Depositing User: | Rakha Hanif Dzakwan |
| Date Deposited: | 04 Aug 2026 03:54 |
| Last Modified: | 04 Aug 2026 03:54 |
| URI: | http://repository.its.ac.id/id/eprint/142388 |
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