OPTIMASI WAKTU TUNGGU PASIEN DI PUSKESMAS WILAYAH KAMPAR MELALUI PENDEKATAN MODEL ANTREAN

This study aims to analyze and optimize patient waiting times at health centers in the Kampar region using a queueing system model. The analysis focuses on identifying bottlenecks in the patient service process and simulating the existing queue structure using appropriate models such as M/M/1 and M/M/2 [1][2]. The findings reveal that long waiting times are mainly caused by limited service counters, uneven staff distribution, and high patient arrival rates during peak hours. Optimization strategies, including increasing the number of service channels and adjusting staff schedules based on patient flow patterns, are proposed. The implementation of these strategies is expected to significantly reduce patient waiting times and enhance overall service efficiency at health centers in the Kampar region [3][4]. Penelitian ini bertujuan untuk menganalisis dan mengoptimalkan waktu tunggu pasien di puskesmas wilayah Kampar melalui pendekatan model sistem antrian. Analisis difokuskan pada identifikasi hambatan dalam proses pelayanan pasien serta melakukan simulasi terhadap struktur antrian yang ada dengan menggunakan model yang sesuai seperti M/M/1 dan M/M/2 [1][2]. Hasil penelitian menunjukan bahwa lamanya waktu tunggu pasien disebabkan oleh keterbatasan loket layanan, distribusi tenaga medis yang tidak merata, dan tingginya tingkat kedatangan pasien pada jam-jam sibuk. Strategi optimasi yang diusulkan meliputi penambahan jumlah saluran pelayanan serta menyesuaikan jadwal petugas berdasarkan pola kedatangan pasien. Implementasi strategi ini diharapkan dapat secara signifikan mengurangi waktu tunggu pasien dan meningkatkan efisiensi pelayanan di puskesmas wilayah Kampar [3][4].

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15775077
Primary Topic
Management and Optimization Techniques
Type
article
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article

OPTIMASI WAKTU TUNGGU PASIEN DI PUSKESMAS WILAYAH KAMPAR MELALUI PENDEKATAN MODEL ANTREAN

Zenodo (CERN European Organization for Nuclear Research)
Management and Optimization Techniques
article

OPTIMASI WAKTU TUNGGU PASIEN DI PUSKESMAS WILAYAH KAMPAR MELALUI PENDEKATAN MODEL ANTREAN

article en

Abstract

This study aims to analyze and optimize patient waiting times at health centers in the Kampar region using a queueing system model. The analysis focuses on identifying bottlenecks in the patient service process and simulating the existing queue structure using appropriate models such as M/M/1 and M/M/2 [1][2]. The findings reveal that long waiting times are mainly caused by limited service counters, uneven staff distribution, and high patient arrival rates during peak hours. Optimization strategies, including increasing the number of service channels and adjusting staff schedules based on patient flow patterns, are proposed. The implementation of these strategies is expected to significantly reduce patient waiting times and enhance overall service efficiency at health centers in the Kampar region [3][4]. Penelitian ini bertujuan untuk menganalisis dan mengoptimalkan waktu tunggu pasien di puskesmas wilayah Kampar melalui pendekatan model sistem antrian. Analisis difokuskan pada identifikasi hambatan dalam proses pelayanan pasien serta melakukan simulasi terhadap struktur antrian yang ada dengan menggunakan model yang sesuai seperti M/M/1 dan M/M/2 [1][2]. Hasil penelitian menunjukan bahwa lamanya waktu tunggu pasien disebabkan oleh keterbatasan loket layanan, distribusi tenaga medis yang tidak merata, dan tingginya tingkat kedatangan pasien pada jam-jam sibuk. Strategi optimasi yang diusulkan meliputi penambahan jumlah saluran pelayanan serta menyesuaikan jadwal petugas berdasarkan pola kedatangan pasien. Implementasi strategi ini diharapkan dapat secara signifikan mengurangi waktu tunggu pasien dan meningkatkan efisiensi pelayanan di puskesmas wilayah Kampar [3][4].

Zenodo (CERN European Organization for Nuclear Research)
Institut Teknologi dan Bisnis Kalbe (ID)
Openalex Percentile: Top 39%
Management and Optimization Techniques
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