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All Journal Jurnal Optimasi Sistem Industri PERFORMA : Media Ilmiah Teknik Industri
Roni Zakaria Raung
Universitas Sebelas Maret
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Perancangan Mesin Sortir dan Optimasi Proses Sortir Biji Kopi dengan Metode Taguchi dan Grey Relational Analysis Shafry Yusuf Al Juni; Eko Pujiyanto; Roni Zakaria Raung; Muhammad Hisjam
Performa: Media Ilmiah Teknik Industri Vol 23, No 1 (2024): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.23.1.84221

Abstract

Komoditas biji kopi harus memenuhi kriteria SNI 01-2907-2008. Kriteria utama kualitas biji kopi adalah ukuran biji kopi dan kadar kotoran. Untuk memenuhi standar tersebut, mesin sortasi telah dirancang untuk menyortir biji kopi sesuai dengan kelasnya. Pengembangan mesin sortasi dilakukan untuk meningkatkan kualitas biji kopi secara bersamaan, yaitu menyortir biji kopi dan mengurangi kotoran biji kopi, sehingga hasil sortasi biji kopi memenuhi kriteria SNI 01-2907-2008. Proses penyortiran biji kopi dilakukan dengan menggunakan ayakan (screen) yang dikocok dan dikombinasikan dengan arah angin dan kekuatan angin yang sesuai. Respon yang diukur adalah biji kopi yang cacat dan proporsi kotoran yang berhasil dipisahkan. Faktor-faktor yang diteliti adalah kecepatan putaran motor, kecepatan blower, dan sudut ayakan. Optimasi multi respon secara simultan dilakukan dengan menggunakan metode Taguchi dan Gray Relational Analysis. Hasil pengaturan level optimal adalah kecepatan motor 800 rpm, kecepatan blower 800 rpm, dan sudut ayakan 15°.   
Modeling Consumer Willingness to Consider Electric Motorcycles in Indonesia: A System Dynamics Approach Ahmad Rafi Adnanta; Roni Zakaria Raung; Wahyudi Sutopo; Ihwan Susila
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.993 KB) | DOI: 10.25077/josi.v24.n1.p37-62.2025

Abstract

Sustainable transport plays a key role in the fight against climate change, particularly in developing countries where reliance on conventional vehicles is high. Motorcycles account for the majority of the fleet of motor vehicles in Indonesia and contribute significantly to emissions. In order to achieve its Paris target of a 29 percent reduction of carbon emissions, the government is encouraging electric cars with various incentives. This study develops a willingness to consider (WTC) model for electric motorcycles in Indonesia based on the powertrain technology transition market agent model (PTTMAM) and utilizes Vensim software to simulate outcomes. The WTC model is built on the assumption that consumers' willingness to consider electric motorcycles is influenced by factors such as costs, marketing, and exposures. The system dynamics model consists of four modules: the conventional motorcycle, the electric motorcycle, the marketing module, and the willingness to consider module. The simulation results show an increasing trend in consumers’ willingness to consider electric motorcycles from 2017-2035, with the WTC value reaching 0.3209 in 2035. While this indicates a positive shift toward greater consumer interest in electric motorcycles, the growth remains modest and slow, reflecting the challenges of widespread adoption. Additionally, this study evaluates three government incentive and subsidy policy scenarios. The scenario results indicate that government subsidies and incentives can increase the consumers’ willingness to consider electric motorcycles in Indonesia, thereby increasing their market share. Among the scenarios, the purchase price subsidy is the most effective, as it directly reduces the financial barrier, encouraging more consumers to make the switch to electric motorcycles.
Co-Authors Ahmad Rafi Adnanta Eko Pujiyanto Ihwan Susila Muhammad Hisjam Shafry Yusuf Al Juni Wahyudi Sutopo