Analisis Sistem Antrian Menggunakan Software Arena Pada Starbucks Coffee Ambarukmo Plaza Yogyakarta

Gilbert, Russel and Yuamita, Ferida (2025) Analisis Sistem Antrian Menggunakan Software Arena Pada Starbucks Coffee Ambarukmo Plaza Yogyakarta. Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

Abstrak Gaya hidup masyarakat Indonesia yang gemar berkumpul menjadikan coffee shop sebagai tempat favorit, terutama di kalangan remaja dan dewasa. Namun, di Starbucks Ambarukmo Plaza Yogyakarta, sering terjadi antrian panjang pada jam sibuk, baik di kasir maupun area pengambilan pesanan, yang menyebabkan pelanggan menunggu hingga 10–20 menit. Penelitian ini bertujuan untuk menganalisis sistem antrian di kasir dan proses pembuatan minuman, serta mengevaluasi usulan perbaikan melalui simulasi. Metode yang digunakan adalah simulasi dengan software Arena dan analisis Welch Confidence Interval (WCI). Hasil simulasi menunjukkan bahwa pada sistem saat ini, rata-rata waktu tunggu di kasir adalah 64,50 menit dan 307,10 menit di barista, dengan tingkat kesibukan masing-masing 84% dan 93%.Tiga skenario perbaikan diuji: Skenario 1: 2 kasir dan 1 barista — waktu tunggu kasir turun, tapi barista meningkat drastis. Skenario 2: 1 kasir dan 2 barista — waktu tunggu di barista menurun, namun kasir tetap tinggi. Skenario 3: 2 kasir dan 2 barista — waktu tunggu di semua titik menurun, dan tingkat kesibukan berada dalam batas optimal (50–70%). Berdasarkan hasil dan diskusi dengan pihak Starbucks, dipilih skenario 3 karena memberikan keseimbangan terbaik antara waktu tunggu dan beban kerja karyawan. Kata Kunci: Starbucks Coffee, Antrian, Simulasi ARENA, Metode Welch Confidence Interval Abstract The Indonesian lifestyle of people who like to gather makes coffee shops a favorite place, especially among teenagers and adults. However, long queues often occur during peak hours at Starbucks Ambarukmo Plaza Yogyakarta both at the cashier and the order pick-up area, causing customers to wait up to 10–20 minutes. This study aims to analyze the queue system at the cashier and the drink-making process, and evaluate proposed improvements through simulations. The method used is simulation with Arena software and Welch Confidence Interval (WCI) analysis. The simulation results show that in the current system, the average waiting time at the cashier is 64.50 minutes and 307.10 minutes at the barista, with a busyness level of 84% and 93%, respectively. Three improvement scenarios were tested: Scenario 1: 2 cashiers and 1 barista — cashier wait time decreases, but barista wait time increases drastically. Scenario 2: 1 cashier and 2 baristas — barista wait time decreases, but cashier wait time remains high. Scenario 3: 2 cashiers and 2 baristas — wait times at all points decreased, and the occupancy level remained within the optimal range (50–70%). Based on the results and discussions with Starbucks, scenario 3 was chosen because it provided the best balance between wait time and employee workload. Keywords: Starbucks Coffee, Queue, ARENA Simulation, Welch Confidence Interval Method

Item Type:	Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects:	T Technology > TS Manufactures
Divisions:	Fakultas Sains dan Teknologi > S1 Teknik Industri
Depositing User:	Kaprodi S1 Teknik Industri UTY
Date Deposited:	18 Dec 2025 04:48
Last Modified:	18 Dec 2025 04:48
URI:	http://eprints.uty.ac.id/id/eprint/19523

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