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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Rekayasa elektrika
Suhada, Muhammad Giri
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Implementation of IoT-based SCADA in MPS Processing Station Integrated with CtrlX Automation Maulana, Gun Gun; Mada, Ridwan; Rokhim, Ismail; Rudiansyah, Hendy; Suhada, Muhammad Giri
Jurnal Rekayasa Elektrika Vol 21, No 2 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i2.40848

Abstract

The increasing complexity of industrial automation technology today requires industries to upgrade their existing systems, such as IoT-based SCADA, which allows for real-time production monitoring from anywhere. However, to achieve this, a system is needed that does not affect or halt the production process and does not require replacing the existing system during the upgrade process. Therefore, a system that can adapt to the existing one is necessary. This research aims to implement an IoT-based SCADA system in an existing plant by integrating the system with ctrlX Automation to address this issue. The implementation is carried out in several stages. The first stage involves integrating the plant controlled by the Omron CP1L PLC with ctrlX Automation. The second stage is creating tags for the SCADA system using tools installed on ctrlX Automation. The third stage involves developing the user interface. The fourth stage is the remote access communication process for the IoT system using the OpenVPN Cloud tool. The test results show that the integration between the Omron CP1L PLC and ctrlX Automation was successful, with a 100% tag retrieval rate from the Omron CP1L PLC, and the data could be visualized. The user interface can be accessed, and remote access can be performed on different networks and locations using the OpenVPN Cloud tool. During testing, the average data transfer write-read delay with one address/tag during remote access was 61.3ms, and for the write-read test with three addresses simultaneously, the average was 78.1ms. Based on these results, the data transfer process using ctrlX Automation integrated with the Omron CP1L PLC can be categorized as very good.
Decision Support System Untuk Mengukur Kinerja Mesin Stamping Berbasis Key Performance Indicator Maulana, Gun Gun; Suhada, Muhammad Giri; Purnomo , Wahyudi
CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 2 (2025): Juli 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v10i2.67836

Abstract

Dalam industri manufaktur, mesin stamping memegang peran penting dalam menentukan kualitas dan kapasitas produksi. Namun, penilaian kinerja mesin yang masih dilakukan secara manual seringkali menimbulkan keterlambatan informasi dan kurang akurat, sehingga menghambat proses pengambilan keputusan. Penelitian ini bertujuan merancang dan mengembangkan Decision Support System (DSS) untuk mengukur kinerja mesin stamping berbasis Key Performance Indicator (KPI). Sistem ini dirancang untuk mengintegrasikan data operasional mesin secara otomatis melalui sensor dan perangkat monitoring yang terhubung ke basis data terpusat. KPI yang digunakan mencakup efektivitas waktu operasi, frekuensi downtime, rasio produk cacat, serta volume produksi harian. Data yang terkumpul dianalisis dan divisualisasikan dalam bentuk laporan grafik dan dashboard interaktif, sehingga memudahkan manajer produksi dalam memantau performa mesin secara real-time. Selain itu, DSS ini dilengkapi modul peringatan dini (early warning system) untuk mendeteksi potensi penurunan kinerja mesin. Hasil pengujian menunjukkan bahwa aplikasi memiliki tingkat akurasi yang sangat tinggi. Pada parameter Real-time dan Raw Material KPIs, rata-rata error tercatat 0%, menunjukkan kesesuaian penuh antara server dan perhitungan manual. Parameter Percentage Time memiliki rata-rata error sebesar 0,297%, sedangkan Real Cycle Time sebesar 1,977%, yang disebabkan oleh tampilan antarmuka yang hanya menampilkan angka tanpa desimal meskipun data backend menyimpan angka lebih detail. Pada parameter Energy KPIs, rata-rata error tercatat sebesar 7,57%, disebabkan oleh pembulatan angka desimal yang memengaruhi hasil perhitungan biaya ketika data awal (KWH) relatif kecil. Meskipun demikian, aplikasi tetap mampu menampilkan data secara real-time dan historis dengan tingkat keandalan yang memadai. Secara keseluruhan, aplikasi DSS yang dikembangkan berhasil mendukung pengambilan keputusan dengan menyediakan data kinerja mesin yang akurat dan informatif, serta membantu memantau penggunaan energi dan biaya bahan baku secara lebih efektif.
Co-Authors Gun Gun Maulana, Gun Gun Hendy Rudiansyah Ismail Rokhim, Ismail Mada, Ridwan Purnomo , Wahyudi