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All Journal Jurnal Ilmiah Teknik Industri Priviet Social Sciences Journal
Boer, Meidina Kalse
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Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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A Three-Phased Perishable Inventory Simulation Model with Quality Decrease Consideration Ibrahim, Muhammad Faisal; Mardhiyyah, Yunita Siti; Rusdiansyah, Ahmad; Boer, Meidina Kalse; Utama, Dana Marsetiya
Jurnal Ilmiah Teknik Industri Vol. 19, No. 02, December 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i2.11769

Abstract

In this article, focus on the simulation of a three-phase perishable product inventory system of a SMEs selling fresh and processed milkfish. This research was conducted to simulate a perishable product inventory system to understand and analyze the problems that occur then propose solutions to fix them. The simulation model was developed with ARENA software, simulation results of the existing condition show that there is 162 kg/month waste in fresh fish, 158 pcs/month in processed product A, and 86 pcs/month in processed product B. A model with a product renewal process mechanism was proposed to overcome this problem, and seven improvement scenarios were developed. The results obtained from the seventh improvement scenario revealed that there was a 100% reduction in fresh fish and processed product B and 94% in processed product A. Besides, there was a saving in need for fresh fish supply of 10 kg/day. In this article, we show how ARENA software can be adopted to simulate inventory system problems effectively. The method in this research can be applied to investigate various supply system scenarios and their consequences before implementing it in a real system.
Factors influencing consumer adoption of electric vehicles: A literature review Harnaningrum, Rizky Novera; Boer, Meidina Kalse; Damayanthy, Dessy
Priviet Social Sciences Journal Vol. 6 No. 2 (2026): February 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i2.1588

Abstract

Electric vehicles (EVs) are considered a key method for reducing transportation emissions, improving city air quality, and supporting sustainable travel. Although global EV sales have grown rapidly, the adoption rates differ by region. Many countries still face significant challenges in getting more people to use electric EVs. This study examines research on what affects people’s decisions to buy EVs. It uses a method to group the findings into six main areas: economic and financial, technological, behavioral and psychological, infrastructure and policy, socio-demographic, and market and industry factors. The study shows that economic factors, such as the price and total cost of owning an EV, are important for buyers. Technological factors such as battery range, charging time, and reliability also affect consumer trust. However, other factors such as how useful and easy to use people think EVs are, their environmental values, social influence, and what they know about EVs also matter. Policies and charging infrastructure are crucial, especially when they provide long-term support and reduce uncertainty. Industry factors, such as brand trust and aftersales service, help reduce perceived risks. Overall, the study suggests that to increase EV use, strategies need to be coordinated and specific to each area of focus. They should address costs, technology, trust, awareness, and everyday use, especially where EV adoption is low.
Co-Authors Ahmad Rusdiansyah Dana Marsetya Utama Dessy Damayanthy Mardhiyyah, Yunita Siti Muhammad Faisal Ibrahim, Muhammad Faisal Rizky Novera Harnaningrum