WOKAS, MEISY ELISABETH (2026) SISTEM PERINGATAN DINI BERBASIS IoT DENGAN TINDAKAN PENGENDALIAN OTOMATIS DAN PENGURANGAN BEBAN UNTUK MENCEGAH KERUSAKAN TRANSFORMATOR BERBASIS e-DMCR. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
This research aims to design and analyze an Internet of Things (IoT)-based early warning system integrated with the e-DMCR (Detection, Measurement, Control, Relay) concept to prevent transformer damage through automatic control and load decrease. The variables studied include transformer oil temperature, tank pressure, and insulating oil level, which represent the operational condition of distribution transformers. The research sample consists of a distribution transformer system model tested through simulations under several operating conditions, namely normal, warning, and critical states. The sampling technique used is purposive sampling by selecting parameters that have the most significant impact on transformer failure based on IEC standards. The data analysis method applied is quantitative descriptive analysis by comparing sensor measurement results with threshold values defined in IEC 60076 and IEC 60255 standards and evaluating the system response to operational changes. The results show that the IoT-based eDMCR system is capable of monitoring transformer conditions in real time, classifying operational status into normal, warning, and critical categories, and executing automatic control actions such as load decrease and relay tripping when parameters exceed safe limits. The system is also able to perform protection functions locally even when the internet connection is unavailable. In conclusion, the integration of IoT with e-DMCR is effective as a preventive protection system for distribution transformers, enhances operational reliability, and can serve as an additional protection layer in electric power systems Keywords: Internet of Things, e-DMCR, transformer, early warning system, automatic control Isi Penelitian ini bertujuan untuk merancang dan menganalisis sistem peringatan dini berbasis Internet of Things (IoT) yang terintegrasi dengan konsep e-DMCR (Detection, Measurement, Control, Relay) sebagai upaya pencegahan kerusakan transformator melalui pengendalian otomatis dan penurunan beban. Variabel yang diteliti meliputi suhu minyak transformator, tekanan tangki, dan level minyak isolasi yang merepresentasikan kondisi operasional transformator distribusi. Sampel penelitian berupa satu model sistem transformator distribusi yang diuji melalui simulasi pada beberapa kondisi operasi, yaitu normal, waspada, dan kritis. Teknik pengambilan sampel dilakukan menggunakan purposive sampling dengan mempertimbangkan parameter yang paling berpengaruh terhadap potensi kegagalan transformator berdasarkan standar IEC. Metode analisis data yang digunakan adalah analisis kuantitatif deskriptif dengan membandingkan hasil pengukuran sensor terhadap nilai ambang batas yang ditetapkan dalam standar IEC 60076 dan IEC 60255, serta mengevaluasi respons sistem terhadap setiap perubahan kondisi. Hasil penelitian menunjukkan bahwa sistem e-DMCR berbasis IoT mampu melakukan pemantauan kondisi transformator secara real-time, mengklasifikasikan status operasi menjadi normal, waspada, dan kritis, serta menjalankan tindakan pengendalian otomatis berupa penurunan beban dan pemutusan (trip) relay ketika parameter melampaui batas aman. Sistem ini juga tetap mampu menjalankan fungsi proteksi secara lokal meskipun koneksi internet terputus. Kesimpulan dari penelitian ini menunjukkan bahwa integrasi IoT dengan e-DMCR efektif sebagai sistem proteksi preventif pada transformator distribusi, meningkatkan keandalan operasi, serta dapat digunakan sebagai lapisan proteksi tambahan pada sistem tenaga listrik. Kata Kunci : Internet of Things, e-DMCR, transformator, sistem peringatan dini, pengendalian otomatis
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