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Journal : OPSI

Simulasi Alur Pelayanan Rawat Jalan (Poliklinik) di Rumah Sakit Menggunakan Software ProModel Yuli Dwi Astanti; Irwan Soejanto; Intan Berlianty
OPSI Vol 13, No 1 (2020): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (667.153 KB) | DOI: 10.31315/opsi.v13i1.3223

Abstract

Hospital is a community service center that has a vital role. Hospital activities related to human life make the hospital as a system that must provide excellent service for visitors (patients). In fact the excellent service is not easy to do because of the many components involved in the system. Components or variables in the system are prbabilistik or uncertain. To maintain the quality of hospital services, an action is needed to evaluate, analyze and improve the system, especially the service system for patients. Simulation is one of the tools that can be used to evaluate, analyze and test changes to the system to get better results. In this study, simulation will be carried out on the outpatient or polyclinic service system in RSUX using simulations with the help of software promodel. From the simulation results it is known that the simulation model is valid and can be used to evaluate the system. In this study, a trial was conducted to change the number of servers in the pricing section to obtain a smaller idle process.
Simulasi Sistem Dinamis Bahan Pangan Tambahan Guna Pemenuhan Kebutuhan Konsumen dan Peningkatan Keuntungan Petani Yuli Dwi Astanti; Reiza Novita Putri; Laila Nafisah
OPSI Vol 15, No 1 (2022): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v15i1.5403

Abstract

Shallots (Allium cepa var ascalonicum L.) is one of the most popular food additives in Indonesia. These ingredients are used to add flavor to Indonesian cuisine. The increase in community needs caused by the increase in population has an impact on increasing the demand for shallots every year. This increase also occurred in Bantul Regency. The demand for shallots in Bantul is not accompanied by a balance in the amount of supply obtained from shallot-producing areas. This is because most farmers in Bantul Regency only plant shallots in the dry season. Therefore, this study seeks to propose how to balance the supply of shallots by farmers with market demand to increase farmers' profits. This study uses a dynamic system simulation approach with the help of Powersim studio 9 software. The first step is to build a Causal Loop Diagram (CLD) to see the causal or reciprocal relationship between variances and stock-flow diagrams to compile a mathematical formulation of the system model. dynamic. The simulation results are then validated to determine the credibility of the model. After the model is declared valid, 3 (three) scenarios of implementing the strategy in the shallot supply chain model will be generated. The best model scenario simulation results are scenario 1 (one), namely by replacing the use of tuber seeds in all activities.
Determination of Customer Order Decoupling Point (CODP) Based on Mass Customization Concept to Minimize Manufacturing Lead Time Yuli Dwi Astanti; Sadi Sadi; Deni Widiyanto; Puryani Puryani; Trismi Ristyowati
OPSI Vol 16, No 1 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i1.9679

Abstract

Make To Order (MTO) is a manufacturing strategy that executes different orders based on consumer demand. In the MTO strategy, products are produced only when there are orders from consumers. In this MTO system, the production process starts when an order arrives and starts with planning raw materials which takes a long time and causes a long lead time (MLT). Long MLT often causes production delays and forces companies to pay more overtime. Companies must adopt a production system that can fulfill a variety of orders and has a fast response time. In this research, a case study was conducted on a shoe and bag manufacturing company in the fashion industry. This study aims to implement a mass customization manufacturing (MC) strategy to minimize MLT. The MC strategy uses the concept of a production process based on orders and inventory. This study is expected to reduce MLT so that production delays do not occur again. The results of this study indicate that relocation of the customer order decoupling point (CODP) can reduce MLT from 30 days to 26 days. By reducing this, production delays can be overcome. In terms of costs, this production system is lower than before and the profits are higher.
Evaluation of waiting time for outpatient services at Respira Hospital Yogyakarta using discrete system simulation Astanti, Yuli Dwi; Rahmawati, Berty Dwi; Akbar, Ahmad Taufiq; Rysnalendra, Alya Pangesti
OPSI Vol 16, No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.11536

Abstract

The Ministry of Health of the Republic of Indonesia has established standard rules for the quality of outpatient service in hospitals. One indicator of the quality of outpatient services at a hospital is the patient's waiting time to be served either by a specialist or other services such as a pharmacy. Respira Hospital Yogyakarta is a special pulmonary and respiratory hospital in Yogyakarta that continues to improve the quality of its services. Based on the results of observations and interviews it is known that in terms of waiting time, patients at Respira Hospital Yogyakarta still have to wait to get service. Examples of queues that occur include patients waiting for a specialist doctor's examination for around 75 to 90 minutes. waiting at the pharmacy and cashier for up to 60 minutes or more. This study attempts to evaluate the waiting time for outpatient services at Respira Hospital Yogyakarta using a simulation. Based on the simulation results, it is known that the patient's waiting time in the system is 217.33 minutes and the longest waiting time is in the pediatric polyclinic and pharmacy departments. After the scenario implementation were made, namely in the pediatric polyclinic and pharmacy sections, the waiting time decreased to 177.19 minutes. This means that evaluations carried out using simulations can help hospitals reduce waiting time for outpatients
Evaluation of waiting time for outpatient services at Respira Hospital Yogyakarta using discrete system simulation Astanti, Yuli Dwi; Rahmawati, Berty Dwi; Akbar, Ahmad Taufiq; Rysnalendra, Alya Pangesti
OPSI Vol 16 No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.11536

Abstract

The Ministry of Health of the Republic of Indonesia has established standard rules for the quality of outpatient service in hospitals. One indicator of the quality of outpatient services at a hospital is the patient's waiting time to be served either by a specialist or other services such as a pharmacy. Respira Hospital Yogyakarta is a special pulmonary and respiratory hospital in Yogyakarta that continues to improve the quality of its services. Based on the results of observations and interviews it is known that in terms of waiting time, patients at Respira Hospital Yogyakarta still have to wait to get service. Examples of queues that occur include patients waiting for a specialist doctor's examination for around 75 to 90 minutes. waiting at the pharmacy and cashier for up to 60 minutes or more. This study attempts to evaluate the waiting time for outpatient services at Respira Hospital Yogyakarta using a simulation. Based on the simulation results, it is known that the patient's waiting time in the system is 217.33 minutes and the longest waiting time is in the pediatric polyclinic and pharmacy departments. After the scenario implementation were made, namely in the pediatric polyclinic and pharmacy sections, the waiting time decreased to 177.19 minutes. This means that evaluations carried out using simulations can help hospitals reduce waiting time for outpatients
Optimizing work movements to reduce injury risk: Application development with Methods-Time Measurement and WebQual analysis Muzakir, Ari; Wahyudi, Adhie Tri; Astanti, Yuli Dwi; Kusmindari, Christofora Desi
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.13478

Abstract

Optimizing work movements is crucial for enhancing efficiency and reducing injury risks in industrial environments. Methods like Methods-Time Measurement (MTM), Work Factor (WF), and Maynard Operation Sequence Technique (MOST) are commonly used to analyze and optimize the workstations. However, there remains a lack of accessible tools for rapid and accurate time measurement. This study aims to develop a web-based and Android application designed to assist both students and professionals in calculating work times and optimizing movements (such as: material handling) more efficiently. The application was evaluated using the WebQual method, focusing on usability quality, information quality, and interaction quality. Evaluation results yielded scores of 82.3% for usability, 85.7% for information quality, and 80.5% for interaction quality. Validity and reliability tests demonstrated a Cronbach's Alpha coefficient of 87%, indicating very high reliability. The integration of MTM within this application has proven effective in accelerating work time calculations compared to manual methods and in improving movement efficiency, which directly contributes to reducing injury risks.