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INDONESIA
Jurnal Ilmiah Teknik Industri
ISSN : 14126869     EISSN : 24604038     DOI : -
Core Subject : Engineering,
Jurnal Ilmiah Teknik Industri is a scientific journal that aims to participate in developing the scientific field of Industrial Engineering, contains the results of research and theoretical study from lecturers, researchers and industry practitioners. Jurnal Ilmiah Teknik Industri is administered by the Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta and published by the Muhammadiyah University Press (MUP).
Arjuna Subject : -
Articles 22 Documents
Search results for , issue "Vol. 21, No. 2, December 2022" : 22 Documents clear
Evaluating Economic and Environmental Impact of A Plastic Waste Processing Industry nased on Circular Economy using Benefit-Cost Analysis Asep Ridwan; Triwin R. Ambarwaty; Nuraida Wahyuni; Dyah L. Trenggonowati; Achmad Bahauddin; Ani Umyati; Bobby Kurniawan
Jurnal Ilmiah Teknik Industri Vol. 21, No. 2, December 2022
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v21i2.19751

Abstract

Plastic has played a dominant role in human life as its usage is increasing over time. Plastic waste can harm the environment because plastic is not biodegradable. A collaboration adopted from the quintuple helix model was initiated by the local government of Cilegon, Indonesia, industry, and community to tackle the plastic waste problem. Plastic waste from households and industry is collected and processed in the plastic waste processing industry using the pyrolysis method producing gasoline, diesel, and kerosene. Kerosene is used by the community as fuel for cooking, whereas diesel and gasoline are used as boat fuels by fishermen. The collaboration is expected to provide economic and environmental benefits for the people in the Cilegon area. We conducted a cost and benefit analysis to evaluate the feasibility of this project from an economic and ecological point of view. The results will be used as input for conducting similar projects in other cities.
Data Mining Analytics Application for Estimating Used Car Price during the Covid-19 Pandemic in Indonesia Bramantiyo Eko Putro; Dwi Indrawati
Jurnal Ilmiah Teknik Industri Vol. 21, No. 2, December 2022
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v21i2.18975

Abstract

Covid-19 has resulted in an increase in the people's need for vehicle ownership in order to avoid public transportation. People’s purchasing power, on the other hand, has also weakened. Therefore, they prefer to purchase affordable cars, such as used cars. Moreover, the Luxury Goods Sales Tax (PPnBM) discounts were officially applied to the purchase of the new cars in March 2021. This study aims at estimating the price of used cars using several data mining algorithms, such as Random Forest, K-Nearest Neighbour (KNN), and Naïve Bayes. By employing the RapidMiner tool, this study was able to evaluate the attributes affecting car prices. From the experimental results, random forest producers have the highest accuracy of 95.46%.  Then, this study figured out that brand, engine capacity, kilometres, colours, years, number of passengers, and transmissions are the most influential attributes to determine the estimation of the used car prices.

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