Manajemen Monitoring Pemakaian Listrik Berbasis Automatic Meter Reading (AMR) Pada Pelanggan Ulp Sungailiat

Nanda, Sarah Meuthia (2026) Manajemen Monitoring Pemakaian Listrik Berbasis Automatic Meter Reading (AMR) Pada Pelanggan Ulp Sungailiat. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Keandalan sistem pengukuran energi listrik pada pelanggan tegangan menengah berperan penting dalam menjamin akurasi transaksi tenaga listrik dan perlindungan pendapatan perusahaan. Praktik keinsinyuran ini bertujuan mengevaluasi implementasi manajemen monitoring pemakaian listrik berbasis Automatic Meter Reading (AMR) pada pelanggan industri di PT PLN (Persero) ULP Sungailiat, serta merumuskan kerangka pengelolaan risiko yang lebih efektif, melalui studi kasus gangguan pengukuran akibat kegagalan Current Transformer (CT). Kasus terjadi pada pelanggan berdaya kontrak 197.000 VA selama periode 3–17 Desember 2025, ketika kerusakan CT Fasa T menyebabkan sepertiga konsumsi energi tidak tercatat, mengakibatkan energi tidak terukur sebesar 2.459,19 kWh dengan tagihan susulan senilai Rp2.387.872,88. Metode praktik meliputi analisis data digital AMR, pemeriksaan load profile, verifikasi histori rekening, dan inspeksi teknis lapangan. Hasil menunjukkan bahwa sistem AMR mampu mendeteksi anomali pengukuran secara kontinu, namun efektivitasnya belum optimal karena belum adanya mekanisme automated anomaly alert, serta pengelolaan risiko fisik instalasi yang belum terintegrasi dalam kerangka operasional terstruktur. Analisis akar penyebab mengidentifikasi kontribusi faktor manusia, teknis, dan manajerial terhadap kegagalan infrastruktur. Berdasarkan temuan tersebut, dirumuskan kerangka risk-based AMR monitoring management yang mencakup sistem peringatan dini digital, inspeksi fisik berbasis risiko, penguatan proteksi infrastruktur, dan prosedur rekonsiliasi terstandarisasi, sebagai upaya meningkatkan akurasi pengukuran serta memitigasi risiko kehilangan pendapatan PLN di masa mendatang.
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The reliability of electrical energy measurement systems for medium-voltage customers plays a critical role in ensuring accurate energy transactions and protecting company revenue. This engineering practice aims to evaluate the implementation of Automatic Meter Reading (AMR)-based consumption monitoring management for industrial customers at PT PLN (Persero) ULP Sungailiat, and to formulate a more effective risk management framework, through a case study of a measurement disturbance caused by Current Transformer (CT) failure. The case occurred at a customer with a contracted capacity of 197,000 VA during the period of December 3–17, 2025, when damage to the Phase T CT caused one-third of energy consumption to go unrecorded, resulting in 2,459.19 kWh of unmetered energy and a supplementary billing value of Rp2,387,872.88. The evaluation method included analysis of digital AMR data, load profile inspection, billing history verification, and technical field inspection. Results show that the AMR system is capable of continuously detecting measurement anomalies, but its effectiveness remains suboptimal due to the absence of an automated anomaly alert mechanism, as well as physical installation risk management that has not been integrated into a structured operational framework. Root cause analysis identified contributions from human, technical, and managerial factors to the infrastructure failure. Based on these findings, a risk-based AMR monitoring management framework was formulated, encompassing a digital early warning system, risk-based physical inspection, strengthened infrastructure protection, and standardized reconciliation procedures, aimed at improving measurement accuracy and mitigating the risk of revenue loss for PLN going forward.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Automatic Meter Reading, Current Transformer, risk-based monitoring, akurasi penagihan, resiliensi sistem
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6592.A9 Automatic tracking.
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 23902-Engineer Professional Program
Depositing User:	Nanda Sarah Meuthia
Date Deposited:	28 Aug 2026 15:10
Last Modified:	28 Aug 2026 15:10
URI:	http://repository.its.ac.id/id/eprint/144418

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