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All Journal Rekayasa Mesin CESS (Journal of Computer Engineering, System and Science)
Purnomo , Wahyudi
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Computer Science & IT Mechanical Engineering

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SMART ANDON SYSTEM BASED ON INDUSTRIAL INTERNET OF THINGS (IIOT) Purnomo , Wahyudi; Maulana, Gun Gun; Suryatini, Fitria; Sunarya, Adhitya Sumardi
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1532

Abstract

In many industrial settings, there are several problems that can arise during the production process. These include machine breakdowns, quality issues, and unexpected delays, which can impact productivity, reduce overall efficiency, and result in lower quality output. In addition, without an effective monitoring system, it can be difficult to identify the root causes of these problems and take appropriate corrective actions.To address these challenges, the implementation of a smart andon system can be highly beneficial. This system enables real-time monitoring of the production process, allowing operators and management to quickly identify and respond to any issues as they arise. By providing instant notifications and alerts, the smart andon system can help reduce downtime, increase productivity, and improve product quality. It also enables more accurate and comprehensive data collection, facilitating better analysis and decision-making by management. Overall, the smart andon system can play a critical role in improving operational efficiency, reducing costs, and enhancing overall competitiveness in today's highly competitive industrial landscape.the implementation of a smart andon system has been shown to improve production efficiency, reduce downtime, and increase overall equipment effectiveness (OEE). The system allows for real-time monitoring of the production process, early detection of problems, and quick resolution of issues through timely alerts and notifications. This can result in significant cost savings for the industry, improved product quality, and increased customer satisfaction.
SMART ANDON SYSTEM BASED ON INDUSTRIAL INTERNET OF THINGS (IIOT) Purnomo , Wahyudi; Maulana, Gun Gun; Suryatini, Fitria; Sunarya, Adhitya Sumardi
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1532

Abstract

In many industrial settings, there are several problems that can arise during the production process. These include machine breakdowns, quality issues, and unexpected delays, which can impact productivity, reduce overall efficiency, and result in lower quality output. In addition, without an effective monitoring system, it can be difficult to identify the root causes of these problems and take appropriate corrective actions.To address these challenges, the implementation of a smart andon system can be highly beneficial. This system enables real-time monitoring of the production process, allowing operators and management to quickly identify and respond to any issues as they arise. By providing instant notifications and alerts, the smart andon system can help reduce downtime, increase productivity, and improve product quality. It also enables more accurate and comprehensive data collection, facilitating better analysis and decision-making by management. Overall, the smart andon system can play a critical role in improving operational efficiency, reducing costs, and enhancing overall competitiveness in today's highly competitive industrial landscape.the implementation of a smart andon system has been shown to improve production efficiency, reduce downtime, and increase overall equipment effectiveness (OEE). The system allows for real-time monitoring of the production process, early detection of problems, and quick resolution of issues through timely alerts and notifications. This can result in significant cost savings for the industry, improved product quality, and increased customer satisfaction.
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 Fitria Suryatini Gun Gun Maulana, Gun Gun Suhada, Muhammad Giri Sunarya, Adhitya Sumardi