Evaluasi Kinerja Rantai Pasok Pada PLN UP3 Sanggau Menggunakan SCOR Model

Amrullah, Aam (2026) Evaluasi Kinerja Rantai Pasok Pada PLN UP3 Sanggau Menggunakan SCOR Model. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini bertujuan mengevaluasi kinerja rantai pasok layanan Pasang Baru (PB) dan Perubahan Daya (PD) berinvestasi di PLN UP3 Sanggau menggunakan SCOR Model. Permasalahan utama penelitian berangkat dari masih adanya keterlambatan penyelesaian pekerjaan, backlog permohonan, daya tertunda, dan potensi opportunity loss energi. Penelitian menggunakan pendekatan deskriptif kuantitatif dengan pengukuran kinerja dan kepentingan pada indikator proses yang dikelompokkan ke dalam pilar Plan, Source, Make, Deliver, Return, dan Enable. Data diperoleh dari 35 responden internal yang terlibat langsung dalam proses PB/PD berinvestasi, kemudian dianalisis menggunakan uji validitas, reliabilitas, analisis gap, Importance Performance Analysis (IPA), wawancara mendalam, dan Root Cause Analysis (RCA) berbasis 5M+1E. Hasil penelitian menunjukkan bahwa pilar Source memiliki kinerja terendah dan gap tertinggi dibanding pilar lainnya. Indikator prioritas perbaikan berdasarkan IPA adalah SRC2 terkait ketersediaan material kritikal, SRC1 terkait proses pengadaan/pemenuhan material, dan DLV3 terkait ketepatan serta kelengkapan distribusi material ke titik kerja. Hasil RCA menunjukkan bahwa keterlambatan dipengaruhi oleh belum optimalnya pengendalian stok material, panjangnya lead time pemenuhan material, ketergantungan pada pasokan eksternal, keterbatasan armada, serta belum optimalnya monitoring distribusi. Rekomendasi perbaikan diarahkan pada penguatan pengendalian material kritikal, monitoring pengadaan, koordinasi distribusi, dan peningkatan visibilitas rantai pasok guna mendukung ketepatan waktu penyelesaian pekerjaan PB/PD berinvestasi.
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This study aims to evaluate the supply chain performance of investment-based New Connection (PB) and Power Change (PD) services at PLN UP3 Sanggau using the Supply Chain Operations Reference (SCOR) Model. The study was motivated by persistent delays in project completion, service backlogs, deferred power capacity, and potential energy opportunity losses. A descriptive quantitative approach was applied by assessing performance and importance indicators categorized into six SCOR processes: Plan, Source, Make, Deliver, Return, and Enable. Data were collected from 35 internal respondents directly involved in investment-based PB/PD processes and analysed using validity and reliability tests, gap analysis, Importance Performance Analysis (IPA), in-depth interviews, and 5M+1E-based Root Cause Analysis (RCA). The results indicate that the Source process had the lowest performance level and the largest gap compared with other SCOR processes. Based on IPA, the priority improvement indicators were SRC2 related to critical material availability, SRC1 related to material procurement and fulfilment processes, and DLV3 related to the timeliness and completeness of material distribution to work sites. The RCA results identified that delays were mainly influenced by suboptimal material inventory control, extended material fulfilment lead times, dependency on external suppliers, limited transportation resources, and inadequate distribution monitoring. Improvement recommendations are directed toward strengthening critical material control, enhancing procurement monitoring, improving distribution coordination, and increasing supply chain visibility to support timely completion of investment-based PB/PD services.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	SCOR, rantai pasok, IPA, RCA, PB/PD berinvestasi, PLN
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD31 Management--Evaluation H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Aam Amrullah
Date Deposited:	25 Sep 2026 05:34
Last Modified:	25 Sep 2026 05:34
URI:	http://repository.its.ac.id/id/eprint/144745

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