Analisa Kondisi Dan Prediksi Umur Transformator Daya Menggunakan Metode Health Index Berbasis Artificial Neural Network (ANN)
DOI:
https://doi.org/10.22441/jte.2026.v17i1.001Kata Kunci:
ANN, health index, prediksi umur trafo, transformator dayaAbstrak
Transformator daya merupakan salah satu komponen utama yang mempunyai peran penting pada sistem transmisi dan distribusi listrik. Untuk beroperasi secara optimal dibutuhkan pemantauan kondisi transformator secara berkala untuk mencegah terjadinya kerusakan dan memperpanjang umur transformator daya. Salah satu metode yang digunakan untuk menilai kondisi transformator daya adalah health index, yaitu metode yang mengintegrasikan berbagai hasil pengujian, seperti dissolved gas analysis (DGA), analisis minyak transformator, dan pengujian furan, guna memberikan gambaran menyeluruh mengenai kondisi kesehatan transformator. Penelitian ini bertujuan untuk menganalisis kesehatan transformator daya berdasarkan hasil uji laboratorium ketiga parameter utama tersebut. Dengan memanfaatkan metode artificial neural network (ANN), penelitian ini juga mengevaluasi kemampuan ANN dalam memprediksi kondisi kesehatan serta umur transformator. Hasil penelitian menunjukkan bahwa metode health index berbasis ANN efektif dalam mengidentifikasi kondisi dan memprediksi umur transformator daya secara komprehensif.Unduhan
Referensi
A. Sapthu, “Listrik Dan Pengaruhnya Terhadap Pertumbuhan Ekonomi Di Provinsi Maluku,” Jurnal Cita Ekonomika, vol. 17, no. 2, hlm. 199–207, Nov 2023, doi: 10.51125/citaekonomika.v17i2.11315.
A. Kurniawan, Y. Rahmawati, dan H. Putranto, “Studi Performa Transformator Daya Menggunakan Metode Health Index di Gardu Induk Waru Sidoarjo,” Seminar Nasional Fortei Regional 7, 2019.
A. Rosyiddin dan B. Baddarudin, “Analisis Prediksi Dan Kondisi Umur Transformator pada BAT GT 2.1 PLTGU Priok Menggunakan Metode Health Index,” Jurnal Teknologi Elektro, vol. 14, no. 2, hlm. 90, Jun 2023, doi: 10.22441/jte.2023.v14i2.006.
T. Ongko Priyono dan Valentina, “Analisa Sisa Umur Pemakaian Transformator Tipe Rectifier Kapasitas 20 kV Berdasarkan Perhitungan Pembebanan Di Chemical Plant Karawang,” Jurnal Elektro Vol 10 No 1, vol. 10, Jan 2022.
B. Bosco Xavier, T. Suheta, dan N. Hananur, “Perkiraan Umur Transformator Distribusi Di Edtl Cai-Coli Dili (Timor-Leste),” SNESTIK Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika, hlm. 285, Mei 2022, doi: 10.31284/p.snestik.2022.2815.
W. Triatmoko dan T. Wati, “Perkiraan Sisa Umur Transformator Distribusi 20 kV di Perusahaan Bumi Waras Group,” SNESTIK Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika, Mar 2023, doi: 10.31284/p.snestik.2023.4119.
W. Pratama, D. Brilliant Samodra, H. Altita Perkasa, A. Hermawan, F. Bhagaskara Ramadhan, dan W. Setyo Pambudi Teknik Elektro, “Pemeliharaan Transformator Distribusi Berbasis Artificial Neural Network,” SNESTIK Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika Prediksi, hlm. 112, Mar 2023, doi: 10.31284/p.snestik.2023.4004.
I. M. Jatmiko, M. Munir, N. Patria, U. Putra, N. H. Rohiem, dan I. Masfufiah, “Analisa Sisa Umur Transformator Berdasarkan Pengaruh Pembebanan Menggunakan Metode Probabilistik Neural Network (PNN),” Seminar Nasional Sains dan Teknologi Terapan X 2022 Institut Teknologi Adhi Tama Surabaya, 2022, Diakses: 18 Juli 2025. [Daring]. Tersedia pada: https://ejurnal.itats.ac.id/sntekpan/article/view/3647/2750
S. Suganda dan A. Muis, “Analisa Kualitas Tahanan Isolasi Transformator Daya,” SINUSOIDA, vol. 23, no. 2, hlm. 1–10, Des 2021, doi: 10.37277/s.v23i2.1114.
B. Sirima, G. Martial.C Mangindaan, dan L. Stiowati Patras, “Analisa Transformator Di Gardu Induk Sawangan Terhadap Pengaruh pembebanan,” Dept. of Electrical Engineering, Sam Ratulangi University Manado, Kampus Bahu St., 95115, Indonesia, 2024.
S. Syah Wibowo, Analisa Sistem Tenaga. Malang: POLINEMA PRESS, Politeknik Negeri Malang, 2018. [Daring]. Tersedia pada: https://www.google.co.id/books/edition/Analisa_Sistem_Tenaga/5uxzDwAAQBAJ?hl=en&gbpv=1
H. Nurcahyanto, J. Maurits Nainggolan, M. Ardita, dan C. Hudaya, “Analysis of Power Transformer’s Lifetime Using Health Index Transformer Method Based on Artificial Neural Network Modeling,” International Conference on Electrical Engineering and Informatics (ICEEI), Jul 2019.
C. P. Maharani, I. M. A. Nrartha, S. I. Nugroho, dan A. Hasibuan, “Pengujian Tegangan Tembus Minyak Trafo Pada Bay Trafo 1 Di GI 150 kV Tanjung,” Jurnal Informatika dan Teknik Elektro Terapan, vol. 12, no. 3, Agu 2024, doi: 10.23960/jitet.v12i3.4347.
R. Aazis, Suwarno, M. Fahmi, dan R. DIanaputri, Identifikasi Gangguan dan Analisis Gas Terlarut untuk Transformator Daya. Yogyakarta: Deepublish Digital, 2024. [Daring]. Tersedia pada: https://books.google.co.id/books?id=sSI3EQAAQBAJ&printsec=frontcover&hl=id&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false
D. Suryani, M. Fadhilla, dan A. Labellapansa, “Indonesian Crude Oil Price (ICP) Prediction Using Multiple Linear Regression Algorithm,” Jurnal RESTI, vol. 6, no. 6, hlm. 1057–1063, Des 2022, doi: 10.29207/resti.v6i6.4590.
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that:
1. This paper has not been published in the same form elsewhere.
2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UMB. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors may reproduce or authorize others to reproduce the Work or derivative works for the authors personal use or for company use, provided that the source and the UMB copyright notice are indicated, the copies are not used in any way that implies UMB endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
