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All Journal Jurnal Teknik Industri Jurnal Teknoin J@TI (TEKNIK INDUSTRI) SPEKTRUM INDUSTRI Jurnal Rekavasi Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Optimasi Sistem Industri REKAYASA Prosiding Ilmu Pendidikan Jurnal Ilmiah Teknik Industri Proceeding SENDI_U OPERATION EXCELLENCE: Journal of Applied Industrial Engineering JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING JRSI (Jurnal Rekayasa Sistem dan Industri) Tekinfo | Scientific Journal of Industrial and Information Engineering PERFORMA : Media Ilmiah Teknik Industri Jurnal INTECH Teknik Industri Universitas Serang Raya Indonesian Journal of Electrical Engineering and Computer Science International Journal of Sustainable Transportation Technology Makara Journal of Technology

Wahyudi Sutopo

Universitas Sebelas Maret

Author-ID : 397419

Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Adoption Intention Model of Electric Vehicle in Indonesia Martha Widhi Dela Utami; Yuniaristanto Yuniaristanto; Wahyudi Sutopo
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Indonesia’s government was targeting the adoption of 2.1 million units of two-wheeled electric vehicles and 2,200 units of four-wheeled electric vehicles in 2025 through the Republic of Indonesia's Presidential Regulation No. 22 in 2017 about the National Energy General Plan. In 2019, the Government of Indonesia issued Presidential Regulation No. 55 in 2019 concerning the Acceleration of the Battery Electric Vehicle Program for Road Transportation. In 2018, the adoption of two-wheeled electric vehicles only reached 0.14% of the government's target for 2025. Therefore, the adoption of Electric Motorcycle (EM) technology must also consider many factors to be successful. This research develops a non-behavioral electric vehicle adoption intention model. The factors include sociodemographic, financial, technological, and macro-level. The online survey involved 1,223 respondents. Logistic regression is used to obtain the function and probability value of intention to adopt EM in Indonesia. Frequency of sharing on social media, level of environmental awareness, purchase prices, maintenance costs, maximum speed, battery charging time, availability of charging station infrastructure at work, availability of home power based- charging infrastructure, purchase incentive policies, and charging cost discount incentive policies are significantly influencing the intention to adopt electric vehicles. It also shows that the opportunity for Indonesians to adopt electric motorcycles reaches 82.90%. The realization of the adoption of electric motorcycles in Indonesia requires infrastructure readiness and costs that can be accepted by consumers. Lastly, the results of this research provide some suggestions for the government and businesses to accelerate electric motorcycle adoption in Indonesia.

A Decision Support System to Achieve Self-Sufficiency of Soybean (Case: Central Java Province, Indonesia) Muhammad Hisjam; Nancy Octyajati; Wahyudi Sutopo; Ahad Ali
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in November 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Soybean self-sufficiency in Central Java Province is a problem that is difficult to realize at this time. As an important commodity, self-sufficiency becomes a serious concern for the government. Supply chain management of soybean is related to the integration of supply, demand, and distribution of soybean. The characteristics of entities involved in the soybean supply chain are complex, dynamic, and probabilistic that make the problem cannot be solved using an analytical model and it becomes too risky for trial and error. A suitable tool is using a simulation model. This paper deals with developing a Decision Support System (DSS) using a simulation model that will assist the government in adopting policies in order to achieve self-sufficiency of soybean and the improvement of farmer's welfare. DSS will help decision-makers to try various scenarios of policy in an easy way. The method was started with developing model components, then decision components, and next creating user interfaces. The simulation and system modeling is created by using Powersim software with the intent to obtain the simulation and single document interface (SDI) of the supply chain model. The result shows that land expansion policy is a top priority for realizing food self-sufficiency while increasing productivity and reducing costs of agricultural activities are the main priorities for improving the welfare of farmers.

Proposing Electric Motorcycle Adoption-Diffusion Model in Indonesia: A System Dynamics Approach Dwi Setyo Sulistyono; Yuniaristanto Yuniaristanto; Wahyudi Sutopo; Muhammad Hisjam
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in November 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

In 2019, the number of conventional vehicles in Indonesia reached 133,617,012 units, dominated by motorcycles of 112,771,136 units and passenger cars of 15,592,419 units. The high number of conventional motorcycle users can increase the number of pollutants and combustion emissions in the environment. This condition has encouraged the transition to a sustainable transport system that will be needed for decades to come, especially for the electric motorcycle to resolve the issue. This research aims to predict and estimate the market share of electric motorcycles by considering life cycle cost per kilometer. System dynamics simulations are developed to model the adoption-diffusion of electric motorcycles in Indonesia. This model has four main modules: an electric motorcycle module, a conventional motorcycle module, an economy module, and a consumer market module. This model shows a positive trend of EM market share from 2021-2030, with the market share value of EM is 0,411 in 2030. The development of retail price subsidy and electricity price scenarios is also carried out to determine the right policies to accelerate the adoption-diffusion process. Based on the scenario, the provision of retail price subsidy and a decrease in electricity price can increase the value of the EM Market Share.

Evaluation of Driving Comparative Life Cycle Cost Assessment of Conventional and Electric Motorcycles in Indonesia: Monte Carlo Analysis Lsa Aldira Hafidza; Yuniaristanto; Wahyudi Sutopo; Muhammad Hisjam
Jurnal Optimasi Sistem Industri Vol. 21 No. 2 (2022): Published in November 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v21.n2.p55-65.2022

The adoption of electric vehicles (EVs) is one of the solutions to reduce emission problems. Vehicle cost analysis is one of the keys to seizing the Indonesian market. As a consumer, it is not only the purchase price that needs to be considered, but the life cycle costs throughout ownership also need to be considered in the purchase. This study discusses the life cycle cost (LCC) of EVs in Indonesia, especially electric motorcycles (EMs), which will be compared with conventional motorcycles (CMs). In particular, this study aims to encourage the government's target for ownership of 2.1 million EMs in Indonesia by 2025. The novelty of this research is to develop a more comprehensive LCC model by considering the costs in terms of tangible and intangible to compare the two types of motorcycles using Monte Carlo simulation. This simulation is used to coordinate the behavioral uncertainty of motorcycle users. As a result, the value of an EM is more economical than CM for various users. The average value percentage of EMs is lower than CMs by 45% (IDR 30,6 million). In addition, several scenarios are also analyzed to maximize consumer welfare in Indonesia.

Co-Authors -, Febrinata Ahad Ali Aji, Vania Putri Anita Andria Sari Apriliana, Frisheila Sely Aqidawati, Era Febriana Ardiansyah, Rakhman Arien Heryansyah Ayusya Khoirun Nisa Azizah Aisyati Christa Dian Pratiwi Danang Miftahudin Pratama Dewiningrum, Ayu Purnama Diah Rahmanasari Didiek Sri Wiyono Diesya, Stephani Dwi Indah Maryanie Dwi Setyo Sulistyono Eko Pujiyanto Eko Supriyanto Ereika Arie Agassi Erico Sofyan Chrissandhi Erliza, Ayu Euis Nurlathifah Evizal Abdul Kadir Fadlilah, Antika Adzary Sekar Fahma, Fakhrina Fakhrina Fahma Farid Ishartomo Fathin Kusumo Pramesti Pudjiantoro Fauziah Amelia Ananda Febri Muhammad Rachadian Frisca Pomalia Hisjam, Muh. Istiqomah, Silvi Jeehad Muhammad Joshua Vicky Louhenapessy, Bendjamin Lsa Aldira Hafidza Mahesa Jenar Maisyaroh, Anis Marhana, Laily Martha Widhi Dela Utami Meidiana Faras Isnafitri Muh. Hisjam, Muh. Muhammad Hisjam Nancy Octyajati Natalianto, Yosua Naufal Ammar Novitria Arie Prabarini Nur Atikah Nuryanto - P., Yogie Budi Pramesti, Nidya Yutie Pramono, Wakit Prasetyo, Hoedi Pratiwi, Ayu Pujiyanto, Eko Purnamasari, Fitri Ratnasari, Sintya Renny Rochani Restiannisa, Kinanti Roni Zakaria Shamsuddin, Siti Mariyam Siti Mariyam Shamsuddin Sri Listia Rosa Supriyanto, Eko Tiwik Tri Hastuti Wahyu Ani Maulidiyah Wardayanti, Ari Yasmine Husna Arsyifa Yosua Natalianto Yudhistira, Rasyid Yuniaristanto Yuniaristanto Zakaria, Roni

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