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All Journal Jurnal Teknik Indonesia Jurnal Multidisiplin Indonesia
Dhany Harmeidy Barus
Institut Teknologi PLN
Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Veterinary

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Analisis Pengaruh Parameter Operasi terhadap Partial Discharge pada Generator Sinkron PT PLN MCTN Menggunakan Metode Regresi Struktural Berbasis SmartPLS Hendrik Tanjung; Dhany Harmeidy Barus
Jurnal Multidisiplin Indonesia Vol. 5 No. 9 (2026): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jmi.v5i9.2959

Abstract

nan kualitas isolasi pada generator sinkron dapat diindikasikan oleh munculnya partial discharge (PD), yang berpotensi berkembang menjadi kegagalan isolasi serius jika tidak terdeteksi sejak dini. Penelitian ini bertujuan menganalisis pengaruh Parameter Operasi terhadap PD pada generator sinkron PT PLN MCTN serta mengevaluasi hubungan struktural antarvariabel menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) berbasis SmartPLS. Sebagai pembanding, digunakan regresi linier berganda dengan SPSS untuk menguji konsistensi temuan. Penelitian menggunakan pendekatan kuantitatif dengan data historis operasi generator dan data pemantauan online PD dari sistem IRIS Power. Analisis mencakup evaluasi model pengukuran (outer model) dan model struktural (inner model). Hasil menunjukkan bahwa model pengukuran memenuhi kriteria validitas dan reliabilitas. Parameter Operasi berpengaruh positif dan signifikan terhadap PD dengan koefisien jalur 0,345, t-statistik 2,472, dan p-value 0,013. Nilai R² sebesar 0,119 menunjukkan bahwa Parameter Operasi menjelaskan 11,9% variasi PD. Sebaliknya, regresi linier berganda menunjukkan hubungan positif namun tidak signifikan secara statistik. Perbedaan ini disebabkan oleh karakteristik metode, di mana PLS-SEM menganalisis hubungan antar konstruk laten, sedangkan regresi linier berganda menganalisis hubungan langsung antarvariabel observasi. Dengan demikian, PLS-SEM lebih sesuai untuk memodelkan hubungan Parameter Operasi terhadap PD, terutama pada sampel terbatas, sedangkan regresi linier berganda berfungsi sebagai analisis pembanding yang memperkuat temuan penelitian.
Health Index Evaluation of Power Transformers Based on Electrical and Insulation Diagnostic Parameters Akhmad Rizal Jiwo Prakoso; Ridha Yasser; Dhany Harmeidy Barus
Jurnal Teknik Indonesia Vol. 5 No. 4 (2026): Jurnal Teknik Indonesia
Publisher : Publica Scientific Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/jti.v5i4.906

Abstract

Power transformers are essential components of electrical power transmission systems, where insulation deterioration and operational aging can compromise reliability and increase the risk of failure. Comprehensive condition assessment is therefore necessary to support effective maintenance planning and enhance transformer asset management. This study aims to assess the condition of power transformers using a Health Index (HI) approach that integrates electrical and insulation diagnostic parameters. The study was conducted on 14 power transformers installed at 150-kV transmission substations. The assessment incorporated several diagnostic parameters, including dissolved gas analysis (DGA), moisture content, acidity, interfacial tension, breakdown voltage, insulation resistance, dielectric dissipation factor (tan ?), winding resistance, and sweep frequency response analysis (SFRA). These parameters were integrated into five assessment factors: internal fault indicators, paper insulation condition, insulating oil quality, electrical insulation condition, and winding condition. The results indicated that four transformers were classified as Very Good, four as Good, three as Fair, and three as Poor. Furthermore, the analysis revealed a negative relationship between transformer service age and HI values, with a coefficient of determination (R²) of 0.7793, suggesting a strong association between aging and transformer condition. Field verification confirmed that the HI classifications were consistent with the transformers' actual operating conditions and diagnostic findings. This study demonstrates that the proposed HI method provides a comprehensive and practical framework for assessing transformer condition, supporting more effective condition monitoring, preventive maintenance planning, and informed decision-making in power system asset management.
Co-Authors Akhmad Rizal Jiwo Prakoso Hendrik Tanjung Ridha Yasser