
Jurnal Teknik Indonesia (JU-TI)is published by the SEAN Institute. Jurnal Teknik Indonesia is a journal that contains scientific articles resulting from research, research and trials from researchers to be published as a reference for other researchers. The scope of the Jurnal Teknik Indonesia (JU-TI) is: Mechanical Engineering, Electrical Engineering, Chemical Engineering, Civil Engineering, Industrial Engineering, Computer Engineering, Informatics Engineering, Architecture, Energy and Conversion Technology, Mathematics, Physics, Chemistry and Biology.
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| Journal title | Jurnal Teknik Indonesia (JU-TI) |
| Subject | The scope of the Jurnal Teknik Indonesia (JU-TI) is: Mechanical Engineering, Electrical Engineering, Chemical Engineering, Civil Engineering, Industrial Engineering, Computer Engineering, Informatics Engineering, Architecture, Energy and Conversion Technology, Mathematics, Physics, Chemistry, Biology |
| Language | English (Preferred), Indonesia |
| ISSN | 2964-0490 (media online) |
| Frequency | 2 issues per year |
| DOI | - |
| Acreditation | - |
| Editor-in-chief | Paska Marto Hasugian, M.Kom |
| Publisher | Seans Institude |
| Citation Analysis | Google Scholar [2nd Top Publications ID] |
Current Issue
Articles
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Driving Sustainability in Power Generation: Amine Scrubbing Integration as a Cost-Effective Measure for Carbon Dioxide Mitigation
- Download Pdf Abstract views: 13 times Downloaded: 16 times
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Exploring the Utilization of Plastic Sand in Construction to Drive Sustainable Practices and Foster a Circular Economy
- Download Pdf Abstract views: 39 times Downloaded: 14 times
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Optimizing Oil Well Cementing: Effects of Dispersant and Fluid Loss Additive Concentrations on Thickening Time and Free Fluid Formation
- Download Pdf Abstract views: 40 times Downloaded: 21 times
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Evaluating the Impact of Dispersants and Fluid Loss Additives on Cement Slurry Thickening Time: Experimental Design and Statistical Modeling
- Download Pdf Abstract views: 38 times Downloaded: 15 times
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Evaluation of Orange Fruit Quality Clustering Using a Real-Time X-Means Algorithm
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