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PENDEKATAN SIMULASI SISTEM DISKRIT DALAM MENGURANGI WAKTU TUNGGU ANTRIAN DENGAN PERBAIKAN SISTEM APPOINTMENT SCHEDULING Muhammad Irvan Dwi Putra; Intan Berlianty; Irwan Soejanto; Yuli DwiAstanti
Jurnal Teknik Informatika dan Elektro Vol 4 No 2 (2022): Juli: Jurnal Teknik Informatika dan Elektro
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55542/jurtie.v4i2.253

Rumah sakit merupakan dalam industri jasa dengan orientasi utama melayani pasien. PKU Muhammadiyah sebagai rumah sakit swasta di Yogyakarta melayani rawat jalan pada klinik gigi dengan rata-rata jumlah pasien 27 orang dengan rata-rat waktu tunggu 65 menit per hari. PKU Muhammadiyah Yogyakarta mampu implemtasi sistem appointment scheduling. sistem ini belum menampilkan estimasi kedatangan pasien yang berakibat waktu menjadi lama. Dalam penelitian menggunakan simulasi sistem diskrit sesuai sistem nyatanya dan dengan software simulasi Flexim 6 untuk mengetahui berbagai skenario. Output yang diperoleh dibandingkan pada sistem nyata. Pada setiap modelnya dibangun 6 skenario berbeda atas waktu antar kedatangan pasien. Skenario tertinggi diperolah pada model pertama yaitu waktu antar kedatangan antar pasien 16 per menit dan mengurangi waktu tunggu menjadi 31,2 menit. Dengan pedekatan ini optimasi diperoleh sebesar 52%.

Public Perceptions of The Government in Handling Covid-19 Pandemic with Covid-Score-10 Approach and Dematel Analytical Network Process (DANP) Intan Berlianty; Irwan Soejanto
OPSI Vol 15, No 2 (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.v15i2.5406

COVID-19 puts intense pressure on governments to take unprecedented and rapid action around the world in dealing with the COVID-19 pandemic. This research takes steps to determine the public's assessment of government programs to resolve the COVID-19 pandemic. The most likely solution is to use the combined method of the Covid Score and the Analytical Network Process (ANP) in determining how to increase public support for government programs to resolve this pandemic. The results of the data processing provide a significant picture of support for the government by 34% in handling the pandemic. To increase wider community support, it is proposed to apply more stringent rules as shown in the ANP value of 16.2. Research contribution to implementing COVID SCORE 10 with Analytical Network Process (ANP) review for implementation in Covid-19 cases in the sample area

Construction of Community Perceptions on Government Effort in Managing the Covid-19 Pandemic: A Covid Score-10 Approach Soejanto, Irwan; Berlianty, Intan; Prangawayu, Nur
Applied Quantitative Analysis Vol. 2 No. 1 (2022): August 2022
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.806

Countries worldwide are still struggling to deal with the spread of COVID-19. No country in the World has been able to get out of the pandemic yet. The number of patients dying, recovering and getting sick shows a graph of increasing every day. To stop the spread of COVID-19 requires uniformity and support from the community. The expected result of this study is to know and construct knowledge, perceptions, and attitudes of the community towards the Covid-19 handling program that has been and will be carried out by the government. The research method uses a quantitative descriptive approach to Covid-10 with an online survey method using a questionnaire provided in the form of a google form application. Data collection was carried out by stratified random sampling and disseminated through the media with a sample of 1,191 respondents in the DIY Region. Most respondents (95.1%) supported the government's efforts to change behavior in the face of the pandemic. However, 42.1% of respondents felt the government had created the right programs and policies.

Performance measurement of organic tea supply chain with supply chain operation references (Case study of active tegal subur farmer group, Kulon Progo) Soejanto, Irwan; Pratama, Ferdiansyah Aji; Nursubiyantoro, Eko
OPSI Vol 17, No 1 (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.v17i1.11036

Tegal Subur Aktif Farmer Group is one of the organic tea producers located in Menoreh Hills, precisely in Nglinggo, Pagerharjo, Samigaluh, Kulon Progo. The efforts carried out by this farmer group include the procurement of tea ingredients, the provision of production facilities, the cultivation and maintenance of tea plants, the processing of agricultural products and trade in general. Processed organic tea products, such as green, black, yellow, and roasted, are produced. Farmer groups have uncertain orders that can only be fulfilled partially, which can still affect customer satisfaction. In total, there are 95.39% of uncertain orders that can be fulfilled in the period August 2021 – March 2022. This is related to production planning with actual production caused by uncertain or regular supply of raw materials. If the collection of raw material supply is still carried out, it causes cost losses in collecting raw materials. The Tegal Subur Aktif Farmer Group has never measured its supply chain performance. If measurement is not carried out, supply chain performance may develop slowly. This study aims to measure the organic tea supply chain's performance and determine which indicators need improvement. This research uses the Supply Chain Operation References (SCOR) and Analysis Hierarchy Process (AHP) methods. Based on the data processing carried out, by measuring supply chain performance with Supply Chain Operation References (SCOR) and Analysis Hierarchy Process (AHP), the supply chain performance of the Active Tegal Subur Farmer Group can be improved.

Investment analysis of solar power plant installation on the roof of the central business district office building with the best investment value Soejanto, Irwan; Poerbaningrat, Raden Muhammad Nalindra; Ristyowati, Trismi; Puryani, Puryani
OPSI Vol 17, No 1 (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.v17i1.11233

The Central Business District (CBD) office building is making efforts to reduce building electricity costs, and one alternative is solar power plant installation. PT. Rancang Prima Sejahtera, engaged in the solar energy industry, conducts consulting services with Central Business District office buildings, so PT. Rancang Prima Sejahtera made an indicative proposal with several solar power plant installation scenarios to be installed on the roof of the Central Business District office building. Four scenarios are created from the combination of 2 PV modules and two inverters. Each scenario created will be assessed for the level of opt, and the investment value will be calculated. In combining components using the principles of the Vereun Deutsche Ingineuer (VDI) 2222 method and assessed each scenario using six aspects of assessment.Meanwhile, the investment analysis assessment uses the parameters of Cost of Energy (CoE), Net Present Value (NPV), Internal Rate of Return (IRR), Benefit-Cost Ratio (B-CR), and discounted payback period. The results of the analysis conducted found that the third scenario was the best scenario with a percentage of the design value of 82.5%, CoE value of Rp398.31/kWh, NPV value of Rp2,451,719,005, IRR percentage of 23.75%, B-CR value of 7.8, and DPP value for 6.8 years with a project life of 30 years. The findings of the investment research indicate that the implementation of solar power plant installations in office buildings located in Central Business Districts yields long-term cost reductions in electricity expenses over a 30-year period, as opposed to relying solely on the services provided by the State Electricity Enterprise.

Penyeimbangan Lintasan Produksi Ribbed Smoke Sheet Untuk Meningkatkan Efisiensi Lintasan Menggunakan Metode Theory Constraint Novri Yohannes Harianja; Irwan Soejanto; Eko Nursubiyantoro
Jurnal Rekayasa Proses dan Industri Terapan Vol. 1 No. 3 (2023): Agustus: Jurnal Rekayasa Proses dan Industri Terapan ( REPIT )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/repit.v1i3.321

PT. Perkebunan Nusantara IX is a State-Owned Enterprise (BUMN) manufacturing rubber processing to produce Ribbed Smoke Sheets (RSS) located in Salatiga City, Central Java. Several things are not done by the company, namely the inefficient trajectory caused by the company's target being too high compared to the output produced. The production process has an imbalance in the trajectory, in which there is still an accumulation of materials/goods in process in several workstations so that actual production is not meet production targets, and the company is having difficulty meeting market demand. So it is necessary to balance the trajectory to answer these problems. Increasing the efficiency of the production balance can be obtained by balancing the trajectory using the theory constraint method aimed at reducing idle time and accumulation of goods so that the production process becomes more efficient. The method that can be used is CPM/PERT. The steps used are grouping work elements into workstations, calculating the value of workload, tracking efficiency, smoothing index, and balance delay, which are then compared based on the two methods. The results obtained are that the RSS production line has a high track efficiency value based on comparing the CPM/PERT method. Hence, the suggestion for the Ribbed Smoke Sheet (RSS) production line so that the line efficiency value is high following the CPM/PERT method is to make three workstations so that the value obtained is the track efficiency is 85% and increases by 21% from the initial track efficiency value, from 64% to 85%. The idle time value decreased from the initial 4.66 minutes to 1.51 minutes, the Balance Delay value also decreased from 37% to 16%, and the Smoothing Index value decreased from the initial 3.3 minutes to 1.08 minutes.

Application of Discrete-Event Simulation in Health Care : A Preliminary Studies Berlianty, Intan; Astanti, Yuli Dwi; Soejanto, Irwan
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN 978-602-52742-
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.380

Simulation is one of the tools to solve the problems in a system, including hospital systems. The hospital has objectives and entities that are different from other systems, namely service to patients (humans) primarily, so making some decisions requires consideration due to the complexity of the variables within them. This preliminary study will discuss what problems might occur in the hospital and how the application of the simulation in solving the problem. Based on observations and interviews conducted, it is known that there are four issues: 1.) hospital services 2.) labor allocation (nurses) 3.) capacity and number of rooms/beds 4.) drug supply. Based on the literature search results, it is known that the simulation has the ability to solve these problems. The results of this literature review will then be used as a basis for developing simulation models in hospitals which are the object of research.

Adaptation of Internet of Things Technology to Measure Energy Consumption Levels to Reduce Ergonomics-Based Work Accidents Berlianty, Intan; Soejanto, Irwan; Titisariwati, Indun; Nursubiyantoro, Eko; Arifin, Miftahol
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.22561

This research focuses on applying Internet of Things (IoT) technology to measure energy consumption levels to reduce work accidents based on ergonomics. Work accidents caused by ergonomic factors, such as physical fatigue and discomfort, can be overcome by understanding and managing energy consumption in the work environment. Comparisons made between IoT-based approaches and traditional methods, such as manual observation and periodic evaluation, are often less efficient and unresponsive to changes in the dynamic work environment.The research methodology consists of three main stages. First, design and implement an IoT system involving intelligent sensors to measure energy consumption and ergonomic factors. Second, real-time data collection by analyzing data using artificial intelligence algorithms. Third, performance comparison between IoT-based and traditional methods through field trials and statistical analysis. The research results are expected to provide new insights regarding the effectiveness and efficiency of IoT technology in managing the risk of work accidents based on ergonomics. Future implications of this research include the potential for widespread use of IoT technology in various industrial sectors to improve worker safety and well-being. In addition, this research can pave the way for developing more sophisticated technological solutions tailored to the specific needs of each sector.

Developing an Integer Linear Programming Model for Hotel Shift Scheduling: Empirical Insights from a Central Java Hotel Irwan Soejanto; Trismi Ristyowati; Indun Titisariwati
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 3 (2025): July : Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i3.221

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.

Performance measurement of organic tea supply chain with supply chain operation references (Case study of active tegal subur farmer group, Kulon Progo) Soejanto, Irwan; Pratama, Ferdiansyah Aji; Nursubiyantoro, Eko
OPSI Vol 17 No 1 (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.v17i1.11036

Tegal Subur Aktif Farmer Group is one of the organic tea producers located in Menoreh Hills, precisely in Nglinggo, Pagerharjo, Samigaluh, Kulon Progo. The efforts carried out by this farmer group include the procurement of tea ingredients, the provision of production facilities, the cultivation and maintenance of tea plants, the processing of agricultural products and trade in general. Processed organic tea products, such as green, black, yellow, and roasted, are produced. Farmer groups have uncertain orders that can only be fulfilled partially, which can still affect customer satisfaction. In total, there are 95.39% of uncertain orders that can be fulfilled in the period August 2021 – March 2022. This is related to production planning with actual production caused by uncertain or regular supply of raw materials. If the collection of raw material supply is still carried out, it causes cost losses in collecting raw materials. The Tegal Subur Aktif Farmer Group has never measured its supply chain performance. If measurement is not carried out, supply chain performance may develop slowly. This study aims to measure the organic tea supply chain's performance and determine which indicators need improvement. This research uses the Supply Chain Operation References (SCOR) and Analysis Hierarchy Process (AHP) methods. Based on the data processing carried out, by measuring supply chain performance with Supply Chain Operation References (SCOR) and Analysis Hierarchy Process (AHP), the supply chain performance of the Active Tegal Subur Farmer Group can be improved.

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