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All Journal G-Tech : Jurnal Teknologi Terapan
M. Khalil Gibran
Universitas Islam Negeri Sumatera Utara, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Discrete Event Simulation Implementation for Service Throughput Optimization at Cafe King Kuphi Dodyk Fahlome; M. Khalil Gibran; Akmal Baihaqi; Ikhwan Prananta Hasugian
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.9015

Abstract

King Kuphi Cafe has seen an increase in customers, especially during peak hours. As a result, long queues, long waiting times, and poor service have become problems. The purpose of this study is to evaluate and improve the performance of the ordering and serving process using the Discrete Event Simulation (DES) approach. This method is used to model a service system that includes customer arrival, ordering, preparation, and product serving. The data collected includes customer arrival time, service time at the cashier, beverage and food preparation time, and the number of available resources. According to the baseline simulation model, there were constraints in the ordering and preparation processes. This resulted in low throughput and long customer wait times. Subsequently, improvement scenarios such as adding staff, dividing service tasks, and adjusting workflows were tested. The simulation results showed that the optimal scenario could reduce wait times and increase service throughput compared to the baseline. Discrete Event Simulation has proven to help King Kuphi Cafe assess and improve its operational process performance. This research can be used as a basis for strategic decisions regarding resource management and service improvement in the culinary industry.
Implementation of the Monte Carlo Method in Random Walk Models for Analyzing Gambling Bankruptcy Problems Kaka Davi Dharmawan; M. Khalil Gibran; Cici Melisma; Dedek Nurlina; Muhammad Nafis Riziq; Alfin Mubarkah Tanjung
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.9016

Abstract

Gambler's Ruin Problem (GRP) is a basic stochastic model used to analyze the probability of a player reaching a target wealth versus losing all capital through sequential random games. This study has two main objectives: to validate the Monte Carlo simulation model against established theoretical results and to conduct a comprehensive sensitivity analysis of the probability of bankruptcy and game duration relative to the probability of winning , initial capital , and target capital . The simulation model was developed in Python as a one-dimensional random walk model, using  replications for initial validation. The results show a high degree of conformity, with an empirical simulation probability of 0.5004 compared to a theoretical value of 0.5000, in accordance with the Law of Large Numbers. Sensitivity analysis shows that a small deviation in  (e.g.,  drastically increases the probability of bankruptcy to over 88%. Furthermore, the average game duration peaks in the fair scenario  at 2,502 steps and decreases significantly under biased conditions. This study confirms the effectiveness of the Monte Carlo method in measuring the impact of the “house advantage” and provides counterintuitive insights into the dynamics of stochastic games.
Co-Authors Akmal Baihaqi Alfin Mubarkah Tanjung Cici Melisma Dedek Nurlina Dodyk Fahlome Ikhwan Prananta Hasugian Kaka Davi Dharmawan Muhammad Nafis Riziq