Penerapan Data Envelopment Analysis Dalam Pengukuran Efisiensi Kantor Cabang PT XYZ

Shubhi, Muhammad Miftahus (2026) Penerapan Data Envelopment Analysis Dalam Pengukuran Efisiensi Kantor Cabang PT XYZ. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6032242128-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (3MB) | Request a copy

Abstract

Penelitian ini mengukur efisiensi relatif 20 kantor cabang PT XYZ selama periode 2020-2025 menggunakan Data Envelopment Analysis (DEA) model Banker, Charnes, dan Cooper dengan asumsi Variable Returns to Scale (BCC/VRS) dan orientasi input. Model VRS dipilih karena kantor cabang memiliki perbedaan kapasitas, cakupan pasar, kematangan, dan skala sumber daya. Variabel input meliputi beban operasional, jumlah manpower, dan total aset, sedangkan output meliputi total penjualan, laba kotor, dan laba operasional. Setiap kantor cabang diperlakukan sebagai Decision Making Unit (DMU), sedangkan tahun merupakan periode pengamatan. Sebelum pengolahan, jumlah manpower dibulatkan ke satuan orang terdekat. Target manpower hasil proyeksi disajikan sebagai bilangan bulat dengan pembulatan ke bawah agar tidak melampaui batas input efisien. Hasil BCC/VRS menunjukkan 5 cabang efisien relatif pada 2020, 4 cabang pada 2021, 5 cabang pada 2022, 4 cabang pada 2023, 4 cabang pada 2024, dan 6 cabang pada 2025. Lampung dan Samarinda konsisten memperoleh skor 100% selama enam tahun. Skor tersebut menunjukkan posisi terbaik secara relatif pada skala pembanding, bukan efisiensi absolut. Rata-rata skor tahunan berturut-turut sebesar 78,32%, 83,24%, 80,21%, 77,65%, 75,84%, dan 75,24%. Target perbaikan disusun dari kombinasi benchmark, kontraksi radial, dan slack input untuk mendukung pengendalian biaya, produktivitas manpower, dan optimalisasi aset tanpa menurunkan output.
=======================================================================================================================================
This study measures the relative efficiency of 20 PT XYZ branch offices during 2020-2025 using an input-oriented Banker, Charnes, and Cooper Data Envelopment Analysis model under the Variable Returns to Scale assumption (BCC/VRS). VRS is selected because branch offices differ in capacity, market coverage, maturity, and resource scale. The inputs are operating expenses, manpower, and total assets, while the outputs are total sales, gross profit, and operating profit. Each branch office is treated as a Decision Making Unit (DMU), while years represent observation periods. Before estimation, manpower values are rounded to the nearest whole person. Projected manpower targets are reported as integers and rounded downward so that they do not exceed the efficient input boundary. The BCC/VRS results identify 5 relatively efficient branches in 2020, 4 in 2021, 5 in 2022, 4 in 2023, 4 in 2024, and 6 in 2025. Lampung and Samarinda consistently achieve a score of 100% throughout the six-year period. This score indicates the best relative position among comparable branches at a similar scale and does not imply absolute efficiency. The annual average scores are 78.32%, 83.24%, 80.21%, 77.65%, 75.84%, and 75.24%, respectively. Improvement targets combine benchmark projections, radial contraction, and input slacks to support cost control, manpower productivity, and asset optimization without reducing outputs.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	BCC/VRS, branch office, Data Envelopment Analysis, manpower, relative efficiency.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD108 Classification (Theory. Method. Relation to other subjects ) H Social Sciences > HJ Public Finance > HJ9103 Local finance. Municipal finance Including the revenue, budget, expenditure, etc. of counties, boroughs, communes, municipalities, etc.
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Muhammad Miftahus Shubhi
Date Deposited:	27 Jul 2026 15:55
Last Modified:	27 Jul 2026 15:55
URI:	http://repository.its.ac.id/id/eprint/138481

Actions (login required)

View Item