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J-ENSITEC (Journal of Engineering and Sustainable Technology)
Published by Universitas Majalengka
ISSN : 24076007     EISSN : 2477359X     DOI : http://dx.doi.org/10.31949/j-ensitec
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering
J-ENSITEC (Journal Of Engineering and Sustainable Technology) terbit 2 (dua) kali dalam setahun. Sejak 2014, J-ENSITEC (Journal Of Engineering and Sustainable Technology) terbit pada bulan Desember dan Mei. Isi jurnal membahas hasil penelitian di bidang Teknik Informatika, Teknik Sipil, Teknik Industri, Teknik Mesin.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 132 Documents
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OPTIMASI STRATEGI TOOLPATH CNC DENGAN GREY RELATIONAL ANALYSIS UNTUK MENINGKATKAN EFISIENSI PEMESINAN Sihmaulana Dwianto; Genarsih, Tunjung; Syaifur Rohman, Ardianto
J-ENSITEC Vol. 11 No. 02 (2025): June 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v11i02.13808

Abstract

This study aims to optimize CNC toolpath strategies using Grey Relational Analysis (GRA) to enhance machining efficiency. Five toolpath strategies—Zigzag, Constant Overlap Spiral, Parallel Spiral, One Way, and True Spiral—are systematically evaluated based on spindle speed, feed rate, depth of cut, and step over, assessing their impact on machining performance.The machining process is conducted using a 3-axis CNC milling machine equipped with a 10 mm diameter endmill tool. Data collection is performed through Mastercam software, where numerical simulations precede the application of Grey Relational Coefficient (GRC) and Grey Relational Grade (GRG) computations to determine the optimal toolpath strategy.The results indicate that the Zigzag toolpath, configured with a spindle speed of 1300 RPM, feed rate of 700 mm/min, depth of cut of 0.8 mm, and step over of 8 mm, achieves the highest GRG value, signifying superior machining efficiency. Further analysis demonstrates that optimizing toolpath parameters significantly enhances process stability, reduces energy consumption, and shortens production cycle time, contributing to increased productivity in CNC machining operations. These findings provide valuable insights for the manufacturing industry, presenting a data-driven framework for selecting optimal toolpath strategies to improve machining precision, operational cost efficiency, and sustainable production practices.
ANALISIS SENTIMENT MASYARAKAT TERHADAP PABRIK DI JAWA BARAT SEBAGAI DASAR STRATEGI PENINGKATAN CITRA INDUSTRI DI MAJALENGKA Kusumadewi, Intan
J-ENSITEC Vol. 11 No. 02 (2025): June 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v11i02.14526

Abstract

The rapid development of the new industrial estate in Majalengka requires the support of a good image from the local community. This study aims to assess public sentiment towards factories in West Java as a basis for formulating strategies to improve the image of industry in Majalengka. The Support Vector Machine (SVM) method was applied to classify the sentiment of YouTube comments relating to the factory, after a process of data collection, text preprocessing, and lexicon-based sentiment labelling. The main findings indicated that people's sentiments were distributed in proportions of approximately 30% negative, 35% neutral, and 35% positive. The accuracy of the SVM model was recorded at 78.48%, while the confusion matrix indicated adequate classification performance of the sentiments. matrix indicates adequate classification performance for negative, neutral, and positive sentiments. negative, neutral, and positive sentiments. This finding indicates that there is a significant negative sentiment towards the significant negative sentiment towards the industry, although it is not dominant. In conclusion, sentiment analysis conducted through social media can serve as a basis for formulating public relations and Corporate Social Responsibility (CSR) strategies. Corporate Social Responsibility (CSR) strategies in an effort to improve the industry's image. The industry and the government are advised to improve clear communication and responsive CSR programmes, with the aim of reducing negative sentiment and strengthening public trust. strengthen public trust.

Page 14 of 14 | Total Record : 132

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