Analisa Efisiensi Peralatan Bongkar Muat di Terminal Petikemas Perawang menggunakan Data Envelopment ANALYSIS dan AHP

Nugrahan, Suryawan Udadi (2026) Analisa Efisiensi Peralatan Bongkar Muat di Terminal Petikemas Perawang menggunakan Data Envelopment ANALYSIS dan AHP. Masters thesis, Institut Teknologi Sepuluh Nopember”.

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Abstract

Terminal Petikemas Perawang memiliki peran strategis dalam mendukung kelancaran arus logistik, sehingga efisiensi penggunaan peralatan bongkar muat menjadi faktor penting yang memengaruhi produktivitas, biaya operasional, dan kualitas pelayanan. Penelitian ini bertujuan menganalisis efisiensi penggunaan peralatan bongkar muat di Terminal Petikemas Perawang dengan membandingkannya terhadap Terminal Petikemas Kendari dan Pantoloan menggunakan Data Envelopment Analysis (DEA), serta menentukan prioritas variabel input dan output menggunakan Analytical Hierarchy Process (AHP). Penelitian menggunakan pendekatan kuantitatif deskriptif dengan studi kasus pada tiga terminal peti kemas selama periode Januari–Agustus 2024 yang menghasilkan 24 Decision Making Units (DMUs). Tingkat efisiensi diukur menggunakan model DEA-BCC (Variable Returns to Scale) berorientasi input dengan variabel input berupa biaya pemeliharaan, jumlah peralatan, usia peralatan, konsumsi bahan bakar (BBM), dan variabel operasional pendukung, sedangkan variabel output meliputi throughput (TEUs), produktivitas bongkar muat (BCH/ET dan BSH/BT), availability, dan utilisasi peralatan. Hasil penelitian menunjukkan bahwa 16 DMU (66,7%) berada pada efficient frontier, sedangkan 8 DMU (33,3%) belum efisien. Terminal Pantoloan mencapai kinerja terbaik dengan seluruh DMU efisien, diikuti Kendari dengan 6 DMU efisien, sedangkan Perawang hanya 2 DMU efisien. DMU Perawang Juni memperoleh skor efisiensi terendah (0,442840) dengan potensi pengurangan input secara proporsional sebesar 55,72% sebelum mempertimbangkan slack. Hasil AHP berdasarkan 67 responden menunjukkan bahwa prioritas variabel input adalah biaya pemeliharaan (0,354), jumlah peralatan (0,221), usia peralatan (0,149), dan konsumsi BBM (0,112), sedangkan prioritas output adalah availability (0,526), produktivitas BCH/ET (0,155), throughput (0,117), dan utilisasi peralatan (0,092). Integrasi DEA-BCC dan AHP memberikan kerangka evaluasi yang lebih komprehensif dengan menghubungkan pengukuran efisiensi relatif dan penentuan prioritas perbaikan, sehingga menghasilkan rekomendasi strategis berupa pengendalian biaya pemeliharaan, optimalisasi jumlah dan formasi peralatan, pengelolaan umur peralatan, peningkatan efisiensi konsumsi BBM, serta pemanfaatan terminal yang efisien sebagai benchmark bagi terminal yang belum efisien. ====================================================================================================================================
Perawang Container Terminal plays a strategic role in supporting logistics flows and container handling operations, where the operational efficiency of cargo handling equipment significantly influences terminal productivity, operating costs, and service quality. This study aims to evaluate the operational efficiency of cargo handling equipment at Perawang Container Terminal by benchmarking it against Kendari and Pantoloan Container Terminals using Data Envelopment Analysis (DEA) and to determine the priority of input and output variables using the Analytical Hierarchy Process (AHP). A quantitative descriptive case study was conducted using operational data from three Indonesian container terminals during the January–August 2024 period, resulting in 24 Decision-Making Units (DMUs). Technical efficiency was evaluated using an input-oriented DEA-BCC (Variable Returns to Scale) model with input variables consisting of maintenance cost, number of equipment units, equipment age, fuel consumption, and supporting operational variables, while output variables included throughput (TEUs), cargo handling productivity (BCH/ET and BSH/BT), equipment availability, and equipment utilization. The results indicate that 16 of the 24 DMUs (66.7%) operated on the efficient frontier, whereas 8 DMUs (33.3%) were technically inefficient. Pantoloan Container Terminal demonstrated the highest performance with all eight DMUs achieving full efficiency, followed by Kendari Container Terminal with six efficient DMUs, while Perawang Container Terminal recorded only two efficient DMUs. The lowest efficiency score was observed for Perawang–June (0.442840), indicating the potential to proportionally reduce inputs by 55.72% to reach the efficient frontier before considering slack adjustments. The AHP results, based on responses from 67 experts, identified maintenance cost (0.354), number of equipment units (0.221), equipment age (0.149), and fuel consumption (0.112) as the priority input variables, while equipment availability (0.526), BCH/ET productivity (0.155), throughput (0.117), and equipment utilization (0.092) were identified as the priority output variables. The integration of DEA-BCC and AHP provides a comprehensive decision-support framework by combining relative efficiency measurement with priority weighting of improvement variables, resulting in strategic recommendations focused on maintenance cost control, optimization of equipment quantity and deployment, equipment life-cycle management, fuel consumption efficiency, and the utilization of efficient terminals as benchmarks for improving the performance of inefficient terminals.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Data Envelopment Analysis (DEA-BCC); Analytical Hierarchy Process (AHP); Efisiensi Relatif; Terminal Petikemas; Peralatan Bongkar Muat; Benchmarking
Subjects:	H Social Sciences > HE Transportation and Communications > HE551.W36 Container terminals--Management.
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Suryawan Udadi Nugrahan
Date Deposited:	13 Aug 2026 08:21
Last Modified:	13 Aug 2026 08:21
URI:	http://repository.its.ac.id/id/eprint/144342

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