https://ejurnal.setiabudi.ac.id/ojs/index.php/tekinfo/issue/feed 2026-04-07T02:45:58+00:00 Ida Giyanti [email protected] Open Journal Systems <p style="text-align: justify;"><span lang="en"><strong>Tekinfo ( Jurnal Ilmiah Teknik Industri dan Informasi )</strong> merupakan jurnal yang dikelola oleh program studi S1 Teknik Industri, Fakultas Teknik, Universitas Setia Budi yang terbit setiap enam bulan sekali yaitu Bulan Mei dan Bulan November pada setiap tahunnya. Naskah yang kami terbitkan mencakup bidang ilmu Teknik Industri dan Teknologi Informasi. Kami terbuka bagi para pembaca dan peneliti untuk berkontribusi mengirimkan naskah penelitian yang mencakup bidang ilmu tersebut.<br></span></p> https://ejurnal.setiabudi.ac.id/ojs/index.php/tekinfo/article/view/2643 2026-04-07T02:43:26+00:00 Fana Fitriah [email protected] Bayu Jatnika [email protected] Nor Alvia Hidayati [email protected] Dinar Mahar Ghany [email protected] Peri Indrawan [email protected] Angga Wira Rizki [email protected] Sido Dea Auvia [email protected]

<p>The high volume of queues in public health services directly threatens service quality and patient satisfaction. At the Dental Clinic of Puskesmas Gamping 1, the surge of patients, especially on busy days such as Saturday, causes the ratio of waiting time to service time to increase significantly, indicating serious inefficiencies in the system. The urgency of this research is to design an optimal and sustainable queuing system to break the cycle of long queues and patient complaints. This study aims to analyze, evaluate, and optimize the efficiency of the queuing system of the Dental Clinic of Puskesmas Gamping 1. The research method used is computer-based discrete simulation (Discrete Event Simulation). Queuing data and service time were collected through direct observation and processed using the distribution test. Valid data is then modeled in Arena software. The simulation model was validated and verified to reflect real conditions. Next, two improvement scenarios were developed: (1) adding one registration officer and (2) adding one service officer. The simulation results show that the existing system has an average waiting time of 35.4 minutes. The best improvement scenario was Scenario 2 with the addition of one service officer, which significantly reduced patient waiting time by 60% to 14.2 minutes. In conclusion, Arena simulation is an effective tool for Puskesmas queuing system optimization. Recommendations for the implementation of the best scenario are expected to improve the efficiency and quality of services at the Dental Clinic of Puskesmas Gamping 1.</p>

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