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All Journal Journal of Information Systems Engineering and Business Intelligence Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Tekno Kompak Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) KOLONI
Putri Amelia
Department Of Information System Universitas Internasional Semen Indonesia
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Optimising Outpatient Pharmacy Staffing to Minimise Patients Queue Time using Discrete Event Simulation Putri Amelia; Artya Lathifah; Muhammad Dliya'ul Haq; Christoph Lorenz Reimann; Yudi Setiawan
Journal of Information Systems Engineering and Business Intelligence Vol. 7 No. 2 (2021): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.7.2.102-111

Abstract

Background: To remain relevant in the customer-oriented market, hospitals must pay attention to the quality of services and meet customers' expectations from admission to discharge stage. For an outpatient customer, pharmacy is the last unit visited before discharge. It is likely to influence patient satisfaction and reflect the quality of hospital's service. However, at certain hospitals, the waiting time is long. Resources need to be deployed strategically to reduce queue time. Objective: This research aims to arrange the number of staff (pharmacists and workers) in each station in the pharmacy outpatient service to minimise the queue time.Methods: A discrete simulation method is used to observe the waiting time spent at the pharmacy. The simulation run is valid and effective to test the scenario. Results: It is recommended to add more personnel for the non-compounding medicine and packaging to reduce the waiting time by 22.41%Conclusion: By adding personnel to non-compounding and packaging stations, the system performance could be improved. Cost-effectiveness analysis should be done to corroborate the finding. Keywords: Discrete Event Simulation, Hospital, Outpatient Service, Pharmacy Unit, System AnalysisBackground: To remain relevant in the customer-oriented market, hospitals must pay attention to the quality of services and meet customers' expectations from admission to discharge stage. For an outpatient customer, pharmacy is the last unit visited before discharge. It is likely to influence patient satisfaction and reflect the quality of hospital's service. However, at certain hospitals, the waiting time is long. Resources need to be deployed strategically to reduce queue time. Objective: This research aims to arrange the number of staff (pharmacists and workers) in each station in the pharmacy outpatient service to minimise the queue time.Methods: A discrete simulation method is used to observe the waiting time spent at the pharmacy. The simulation run is valid and effective to test the scenario. Results: It is recommended to add more personnel for the non-compounding medicine and packaging to reduce the waiting time by 22.41%Conclusion: By adding personnel to non-compounding and packaging stations, the system performance could be improved. Cost-effectiveness analysis should be done to corroborate the finding. Keywords:Discrete Event Simulation, Hospital, Outpatient Service, Pharmacy Unit, System Analysis
DINAMIKA UMKM DI GRESIK - JAWA TIMUR PADA PERKEMBANGAN ERA DIGITAL DENGAN PENDEKATAN SISTEM DINAMIK Putri Amelia; Brina Miftahurrohmah
Jurnal Tekno Kompak Vol 14, No 1 (2020): Februari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v14i1.532

Abstract

Perkembangan UMKM ini juga harus bisa mengimbangi globalisasi pasar yang menuntut peningkatan daya saing dan strategi bisnis yang saat ini tengah beralih ke era digital. Dari survey yang dilakukan BPS (2016) 67% UMKM mengalami kendala. Kendala yang sering dihadapi salah satunya adalah pemasaran (31%). Berdasarkan hasil yang ada, tidak semua UMKM yang ada melakukan implementasi digital didalam membantu kegiatan marketing. Oleh karena itu penelitian kali ini akan dibahas dinamika perubahan permintaan khususnya UMKM makanan perkembangan era digital dengan menggunakan metode pendekatan sistem dinamik. Melalui penggambaran model simuasi akan digambarkan faktor eksternal pelanggan dan faktor internal penjual. Penggambaran model akan dapat diketahui perubahan permintaan sebelum dilakukan implementasi marketing didalam proses bisnis dan saat dilakukan implementasi.
DESIGN OF A WEB-BASED FISH SALES INFORMATION SYSTEM TO IMPROVE MARKETING EFFICIENCY USING THE WATERFALL MODEL Dewi Syarifatunnisak; Putri Amelia
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 2 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19362495

Abstract

The development of aquaculture activities requires effective sales and marketing management to support business sustainability. This study aims to design and build a web-based fish sales information system to improve marketing efficiency and operational performance at the Cerme Rice Pond, Gresik Regency. Problems encountered include manual recording of sales and inventory, inconsistencies in stock data, and delays in report preparation, which impact service quality and managerial decision-making. The method used in this study is the Software Development Life Cycle (SDLC) with the Waterfall model, which includes the stages of needs analysis, system design, implementation, and testing. The system was developed web-based to integrate the management of fish data, inventory, sales transactions, operational activities, and reports in one centralized database. System testing was conducted using the black-box testing method to ensure functional suitability, and User Acceptance Testing (UAT) using a Likert scale to measure the level of user acceptance. The results of the study indicate that the developed system is able to improve data recording accuracy, accelerate real-time information access, and support the preparation of structured sales reports. The UAT results obtained a score of 85.6%, categorized as very good , indicating that the system is acceptable to users and meets the operational needs of the ponds. The novelty of this research lies in the implementation of an integrated web-based fish sales information system specifically designed to support marketing efficiency in village-scale aquaculture businesses.
Usulan Kebijakan Rantai Pasok Susu Segar dalam Mendukung Ketahanan Pangan Nasional dengan Pendekatan Sistem Dinamis Resista Vikaliana; Yelita Anggiane Iskandar; Luki Trihardini; Putri Amelia; Oktania Purba
Transparansi : Jurnal Ilmiah Ilmu Administrasi Vol. 8 No. 2: Desember 2025
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/transparansi.v8i2.5335

Abstract

(Leveraging System Dynamics for Sustainable Fresh Milk Supply Chain Governance: Policy Implications for National Food Resilience) Penelitian ini mengembangkan model sistem dinamis untuk mengatasi tantangan pasokan susu segar nasional yang masih bergantung pada impor, berisiko melemahkan ketahanan pangan. Tahapan meliputi identifikasi variabel (ketersediaan susu segar, populasi sapi perah, impor susu), pembuatan causal loop diagram, stock flow diagram, formulasi model, verifikasi-validasi (AME 0,00698 ≤ 5%), dan perancangan skenario. Hasil simulasi menunjukkan variabel impor dan sapi produktif paling berpengaruh. Dirancang tiga skenario. Skenario 1(impor susu 50%): impor 93.820 ton (2030). Skenario 2 (impor susu 20%): impor 48.426 ton (2030).  skenario 3 (peningkatan sapi produktif) 1.993.430 ekor (2030). Skenario 2 dan 3 paling optimal. Skenario 2 meminimalkan impor, sedangkan Skenario 3 meningkatkan produksi dalam negeri sesuai target pemerintah. Abstract This study developed a dynamic system model to address the challenges of the national fresh milk supply, which is still dependent on imports and risks weakening food security. The stages include variable identification (fresh milk availability, dairy cow population, milk imports), causal loop diagram creation, stock flow diagram, model formulation, verification-validation (AME 0.00698 ≤ 5%), and scenario design. Simulation results show that the variables of imports and productive cows are the most influential. Three scenarios were designed. Scenario 1 (50% milk imports): imports of 93,820 tons (2030). Scenario 2 (20% milk imports): imports of 48,426 tons (2030). Scenario 3 (increase in productive cows): 1,993,430 cows (2030). Scenarios 2 and 3 are the most optimal. Scenario 2 minimizes imports, while Scenario 3 increases domestic production in line with government targets.
Simulasi Proses Distribusi dalam Peningkatan Kecepatan Pengiriman Dengan Pendekatan Business Process Improvement (BPI) Vinda Ilman Nafiah; Putri Amelia
KOLONI Vol. 5 No. 2 (2026): JUNI 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i2.876

Abstract

This study aims to analyze and improve the product distribution process at PT. Mulia Jaya, which experiences delivery delays. The research employed a descriptive qualitative approach using the Business Process Improvement (BPI) method supported by Business Process Model and Notation (BPMN) modeling and simulation using Arena software. Data were collected through interviews, observations, and documentation to identify value-added and non-value-added activities. The results indicate that delays are caused by high waiting times and bottlenecks in the product preparation and loading processes. Simulation results in the existing condition show that the average total distribution process time is 5.45 hours. Scenario 1 was conducted by adding a server to the loading process, reducing the process time to 5.07 hours or by 6.97%. Meanwhile, Scenario 2 involved adding transportation resources, resulting in an average process time of 5.25 hours or a reduction of 3.58%. Based on the simulation results, Scenario 1 is considered the most optimal improvement alternative because it provides the greatest reduction in process time and improves distribution efficiency.
Co-Authors Artya Lathifah Brina Miftahurrohmah Christoph Lorenz Reimann Dewi Syarifatunnisak Luki Trihardini Muhammad Dliya'ul Haq Oktania Purba Resista Vikaliana Vinda Ilman Nafiah Yelita Anggiane Iskandar Yudi Setiawan