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Contact Name
Yustina Tritularsih
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yustina_tritularsih@atmi.ac.id
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INDONESIA
Jurnal Rekayasa Sistem Industri
Core Subject : Engineering,
Data and Analytics Decision Analysis E-Business and E-Commerce Engineering Economy and Cost Analysis Human Factors Information Systems Intelligent Systems Manufacturing Systems Operations Research Production Planning and Control Project Management Quality Control and Management Reliability and Maintenance Engineering Safety and Risk Management Service Innovation and Management Supply Chain Management Systems Modeling and Simulation Technology and Knowledge Management
Articles 8 Documents
Search results for , issue "Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)" : 8 Documents clear
Food Cold Chain in Indonesia during the Covid-19 Pandemic: A Current Situation and Mitigation Ilyas Masudin; Nika Tampi Safitri
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.387 KB) | DOI: 10.26593/jrsi.v9i2.3981.99-106

Abstract

The spread of the corona virus (COVID-19) has had a massive impact on all business sectors in Indonesia. Food cold supply chain is a business sector that is quite badly affected. This is because the food cold chain requires special treatment to maintain its quality, has a relatively short life and cannot be returned. This article discusses the impact of the COVID-19 pandemic and its social impacts such as social restrictions and area lockdown on the business of food cold chain. It also discusses mitigation that needs to be done to anticipate related issues such as food supply-demand, food safety and some transportation challenges
Analisis Risiko Produk Alat Pelindung Diri (APD) Pencegah Penularan COVID-19 untuk Pekerja Informal di Indonesia Yansen Theopilus; Thedy Yogasara; Clara Theresia; Johanna Renny Octavia
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6008.953 KB) | DOI: 10.26593/jrsi.v9i2.4002.115-134

Abstract

The Coronavirus Disease of 2019 (COVID-19) that is transmitted through the human respiratory system has a very high infection rate worldwide, including Indonesia. To cut off this outbreak, Indonesia has implemented some social distancing strategies that have an impact on the significant decrease of economic growth rate and the increase of poverty rate. To meet basic needs, people should continue their work in the middle of COVID-19 fear. Informal workers are among the most vulnerable groups to COVID-19 transmission because they frequently interact with the outsiders and find it difficult to comply with the health protocols. One way to prevent the COVID-19 transmission is the use of Personal Protective Equipment (PPE) such as masks, face shields, and gloves. Although these products to some degree are effective in preventing transmission, several risks that may endanger its users, such as incorrect or excessive use, incorrect maintenance, bad PPE design, and others. Therefore, this research aims to analyze the risks of the COVID-19 PPE and review the prevention recommendations for these risks. Risk analysis was carried out using the Failure Mode and Effect Analysis (FMEA) to analyze the use of masks, face shields, and gloves for the context of general informal workers in Indonesia. There are 5 aspects analyzed: product design, preparation for use, use, storage, and disposal. Based on the analysis, there are 10 mask risks, 15 face shield risks, and 12 gloves risks that need to be considered by informal workers and PPE designers and manufacturers as well.
Analisis Pertambahan Pasien COVID-19 di Indonesia Menggunakan Metode Rantai Markov Kinley Aritonang; Alfian Tan; Cherish Ricardo; Dedy Surjadi; Hanky Fransiscus; Loren Pratiwi; Marihot Nainggolan; Sugih Sudharma; Yani Herawati
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.726 KB) | DOI: 10.26593/jrsi.v9i2.3998.69-76

Abstract

COVID-19 is a new disease that is affecting almost all of the world. Until now there has not been a single drug (vaccine) that can be used to cure it. Many attempts were made to prevent the spread of this disease but COVID-19 patients are increasing every day, although at the same time some are recovering. This study will calculate the probability of additional patients occurring over a long period of time, referred as a steady state state condition, using the Markov chain method. Nine states have been formed to represent the daily increase ranges of COVID-19 patients number. The calculation results show that the possibility of additional patient number between 1 to 91, 92 to 182, 182 to 272, 273 to 363, 364 to 454, 455 to 545, 546 to 636, 637 to 727, or greater than 728 people a day are 0.21197, 0.05644, 0.08408, 0.16337, 0.13999, 0.14512, 0.07189, 0.07695, and 0.05014, respectively.
Tren, Tantangan, dan Perspektif dalam Sistem Logistik pada Masa dan Pasca (New Normal) Pandemik Covid-19 di Indonesia Nova Indah Saragih; Verani Hartati; Muchammad Fauzi
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (836.222 KB) | DOI: 10.26593/jrsi.v9i2.4009.77-86

Abstract

This paper discusses trends, challenges, and perspectives in logistics system of Indonesia during and post (new normal) of Covid-19 pandemic. PSBB (Large-Scale Social Restriction) caused a number of supply chains to be cut and made railroad transportation activities decreased. On the other hand, WFH (Work From Home) caused sector of e-Commerce to grow during the pandemic. Challenges in logistics system of Indonesia during the pandemic are changes in distribution patterns, changes in handling processes, changes in facilities and equipment, changes in business processes, and changes in networks. Adaptations in logistics system during the pandemic are using ICT (information and communication technology) such as TMS (Transportation Management System) and EDI (Electronic Data Interchange) and considering health. WMS (Warehouse Management System) still has a great opportunity to be utilized. The adaptations raise a new discipline in Industrial Engineering, namely logistics hygienic. The use of various ICTs in logistics system together with implementation of health protocols are expected to be a solution for logistics system in Indonesia, especially for the new normal of Covid-19 pandemic.
Prediksi Akhir Pandemi COVID-19 di Indonesia dengan Simulasi Berbasis Model Pertumbuhan Parametrik Fransiscus Rian Pratikto
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.23 KB) | DOI: 10.26593/jrsi.v9i2.4018.63-68

Abstract

This research aims to predict the end of the COVID-19 pandemic in Indonesia based on parametric growth models. The models are chosen by considering their fitness with the data of Taiwan which is believed to have passed over the peak of the pandemic and have gone through all phases in the growth curves. The models are parameterized using the nonlinear least squares method. The deviation and confidence interval of each parameter is estimated using the k-fold cross-validation and the bootstrap techniques. Using the total cases per million population data from March 2 to June 18, 2020, it was found that two growth models fit the data, i.e. logistic and modified Gompertz, where the latter performs better. Using the information about the deviation of each model parameter, a simulation model is developed to predict the time at which the total cases curve starts to flatten, which is an indication of the end of the pandemic. It was found with 95% confidence level that based on the modified Gompertz model the pandemic will end somewhere between March 9 – September 7, 2021 with total cases per million of 206 - 555. Meanwhile, based on the logistic growth model, the end of the pandemic is between August 28 – September 23, 2020 with total cases per million of 180 - 375. This model can be extended by making comparative scenario with Taiwan based on measures that represent the quality of the pandemic mitigation such as test ratio and the intensity of social restriction.
A Market Scheduling for New Normal Logistics in the Wake of Corona Virus Diseases-19 in Bandung City Carles Sitompul; Paulina Kus Ariningsih; Fran Setiawan
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (788.661 KB) | DOI: 10.26593/jrsi.v9i2.4010.87-98

Abstract

Recent developments on the worldwide spread of Corona Virus Diseases-19 (COVID-19) show the vulnerability of human beings to pandemic risks in terms of biological, social, and economic factors. While human lives are the most important factor, a proposed solution dealing with pandemics should be sustainable which also includes other factors. Quarantines and physical distancing have been seen as effective ways to slow down the spread of COVID-19.  We therefore propose a market scheduling model with multi-objectives to support physical distancing minimizing the number of people in a certain area in a given time (crowds) and minimizing the virus spread rates. An analytical model is proposed and solved for Bandung City. The results show some promising ideas on how to slow down the virus spread without compromising both health and economic objectives. The future potential research of the model is also presented.
Analisis Risiko pada UKM Tahu Takwa Kediri terhadap Dampak Pandemi COVID-19 Imam Safi'i; Silvi Rushanti Widodo; Ria Lestari Pangastuti
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.203 KB) | DOI: 10.26593/jrsi.v9i2.4003.107-114

Abstract

The Pandemic of COVID-19 and social restriction policy (PSBB) in Indonesia caused a lot of impacts, one of them is Tofu Takwa SMEs in Kediri. This condition disrupts production activities up to marketing. Then it takes a risk analysis by looking at the main potential risks that arise while pandemic like this and do manage to get a strategy for their business sustainability. This research aims to analyze and manage the main risks that occur in Tofu Takwa SMEs in Kediri. The results showed that there are 3 risks in a high level like decrease of the income, decrease in production amount and increase the price of raw materials and 1 risk in middle level like late in delivery raw material so that it can be done by financial strategy, resize, search for a new market with social media and cooperate with the local government to help the marketing of social service programs.
Evaluasi Kualitas Pembelajaran Online Selama Pandemi Covid-19: Studi Kasus di Fakultas Teknik, Universitas Katolik Darma Cendika Desrina Yusi Irawati; Jonatan Jonatan
Jurnal Rekayasa Sistem Industri Vol. 9 No. 2 (2020): Jurnal Rekayasa Sistem Industri (Edisi Khusus COVID-19)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285 KB) | DOI: 10.26593/jrsi.v9i2.4014.135-144

Abstract

The home-based learning strategy is a useful control measure to decrease the spread of COVID-19 among students. A sudden alteration of offline learning to online learning impacted  the effectiveness of learning activities. During the COVID-19 pandemic, the Faculty of Engineering, Darma Cendika Catholic University needed to assess the level of student satisfaction of online-based learning so that the quality of service was maintained. The purpose of this study was to measure the level of student satisfaction during online-based learning during the COVID-19 pandemic using the Service Quality (Servqual) and Importance Performance Analysis (IPA) methods. Servqual and IPA are methods for measuring the level of satisfaction and quality of service. The result of Servqual shows all the measurements of 17 attributes have negative gap value. This shows that there is a difference between students perception and expectation of online-based learning. The Matrix of IPA indicates the priority of improvement of online-based learning that encompasses the lecturers consistency in providing a good lecture, the capability of using learning platform, the prompt and efficient response to students needs in online-based learning, the encouragement of students motivation throughout the learning process, and the understanding of students impediments during the process of online-based learning.

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