Fradiska, Flesensius Agam (2026) Pemanfaatan Advanced Metering Infrastructure (AMI) Dalam Percepatan Cash-In di PT. PLN (Persero) UP3 Medan Utara. Masters thesis, Institut Teknologi Sepuluh Nopember.
|
Text
6022241024-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (7MB) | Request a copy |
Abstract
Advanced Metering Infrastructure (AMI) pertama kali diperkenalkan di Indonesia pada tahun 2021 untuk menyediakan layanan pengukuran energi listrik kepada pelanggan. Implementasinya membutuhkan investasi yang lebih besar dibandingkan dengan sistem metering konvensional. Analisis biaya-manfaat telah dilakukan dengan membandingkan implementasi yang dikelola sendiri oleh perusahaan listrik dan implementasi yang ditangani oleh pihak ketiga di bawah kontrak layanan terkelola. Implementasi AMI merupakan langkah fundamental menuju ekosistem Smart Grid yang lebih efisien dan transparan. Salah satu manfaat signifikan dari implementasi sistem ini adalah kemampuannya untuk mempercepat proses penerimaan kas melalui optimalisasi manajemen pendapatan dan pengurangan kehilangan energi.
Melalui fitur komunikasi dua arah real-time, AMI memungkinkan perusahaan listrik untuk memantau konsumsi energi secara tepat, mendeteksi upaya manipulasi meter (deteksi gangguan), dan mengidentifikasi kehilangan energi non-teknis lebih cepat daripada metode konvensional. Makalah ini membahas penggunaan AMI dalam mempercepat penerimaan kas dengan melihat periode pengembalian investasi (Payback Period/PBP), tingkat pengembalian internal (Internal Rate of Return/IRR), dan nilai sekarang bersih (Net Present Value/NPV). Metodologi yang digunakan adalah mengevaluasi kelayakan kontrak AMI yang telah berjalan sejauh ini menggunakan pendekatan tekno-ekonomi. Hasil penelitian menunjukkan bahwa implementasi AMI layak dilakukan karena nilai IRR sebesar 10,31% yang lebih besar dari biaya modal rata-rata dan nilai sekarang bersih sebesar 2,28 miliar rupiah, serta nilai periode pengembalian sebesar 6,15 tahun. Dari indikator ekonomi tersebut dapat disimpulkan bahwa AMI layak diimplementasikan dan memberikan manfaat yang signifikan di masa mendatang.
=================================================================================================================================================
Advanced Metering Infrastructure (AMI) was first introduced in Indonesia in 2021 to provide services to customers. Its implementation requires greater investment compared to conventional metering systems. A cost-benefit analysis has been conducted comparing self-managed deployment by the electricity utility and implementation handled by a third party under a managed service contract. The implementation of AMI is a fundamental step towards a more efficient and transparent Smart Grid ecosystem. One of the significant benefits of implementing this system is its ability to speed up the cash-in process through optimizing revenue management and reducing energy losses. Through its real-time two-way communication feature, AMI enables electricity companies to monitor energy consumption precisely, detect meter manipulation attempts (tamper detection), and identify non-technical energy losses more quickly than conventional methods. This paper discusses the use of AMI in accelerating cash-in by looking at the payback period (PBP), Internal Rate of Return (IRR), and Net Present Value (NPV). The methodology used is to evaluate the feasibility of an existing AMI contract that has been running so far using a techno-economic approach. The results show that the implementation of AMI is feasible to be implemented due to the IRR value is 10,31% which is greater than the average cost of capital and the net present value is 2.28 billion rupiah, and the payback period value is 6.15 years. It can be concluded from the economic indicators that AMI is feasible to implement and provides significant benefits in the future.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | AMI, NPV, PBP, IRR, PLN UP3 Medan Utara, AMI, NPV, PBP, IRR, Electricity |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3030 Electric power distribution systems T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements. |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Flesensius Agam Fradiska |
| Date Deposited: | 31 Jul 2026 06:39 |
| Last Modified: | 31 Jul 2026 06:39 |
| URI: | http://repository.its.ac.id/id/eprint/141043 |
Actions (login required)
![]() |
View Item |
