Submissions

Author Guidelines

Use the provided template to write an article. The template has all the styles needed for writing. Save your article in *.doc format. Do not use *.docx or *.pdf format, so that it will be easier to edit the paper for reviewing and editing purpose.

ABSTRACT AND KEYWORDS

An abstract contains summary of the Introduction, summary of Methods, summary of Result and Discussion, and summary of Conclusion. The number of words in the abstract is limited to 200 – 300 words and are written in Times New Roman, 12, Italic. Keywords contain key scientific terms that are used in an article. Use 3 – 5 words or terms that are common in the field of mechanical engineering.

INTRODUCTION

Introduction section may contain description about problems that are studied in a research. It may contain arguments why the topic raised in the writing is important. Give proper number of citations for descriptions in the Introduction. Literature review may be included in this section where necessary. Research aim, writing systematics and summary of conclusion may be included here as well.

METHOD

This research adopts an experimental approach, incorporating both control and treatment groups to assess the impact of a defined intervention on a specific outcome. Specimens were prepared following standardized guidelines and conditioned under regulated environmental settings to maintain consistency. The experimental setup comprised a calibrated testing system, environmental control units, and precision sensors connected to a data acquisition platform. Key measurements—such as strain and displacement—were obtained using standardized, calibrated instruments. The methodology involved preconditioning, accurate specimen installation, controlled application of treatment, and continuous data recording. Modifications to established techniques were implemented to enhance precision and validated through preliminary trials. Data were systematically collected, filtered to eliminate noise, and subjected to statistical analysis using appropriate software tools. Multiple trials were conducted to ensure reproducibility, with deviations maintained within acceptable thresholds. The method may also integrate mathematical modeling, algorithmic analysis, results interpretation, and discussion. Each section describes data sources, computational processes, and evaluation criteria. Where applicable, formulas, tables, and figures are provided and clearly referenced within the text to ensure clarity and replicability.

RESULTS AND DISCUSSION

The Results and Discussion section should be clearly organized, objective, concise, and meaningful, effectively emphasizing the key outcomes of the research. Combining both results and discussion in one section is often preferred to avoid redundancy and improve coherence. This part of the paper should present the main findings in a logical, chronological order, followed by a scientific explanation of the data in relation to the research objectives. It should also include a critical interpretation of the results, comparing them with existing studies to highlight similarities, differences, and new insights. Additionally, the discussion should delve into the most significant and recent findings, exploring their broader implications within the research field. Lengthy citations and repeated reviews of published literature should be avoided to maintain focus and clarity.

CONCLUSION

Conclusion section summarizes the descriptions written in Results and Discussion section. Acknowledment may be written prior to Conclusion.

CITATION AND BIBLIOGRAPHY

This journal uses IEEE citation style [1]. In-text citations are written using arabic numbers inside square brackets and are ordered by their occurrence in the writing [2]. We encourage the use of reference/citation manager such as Mendeley or Zotero when writing your article [3]–[5]. Open-source reference manager are available to use without charge or with a small cost [4],[6].

EXAMPLE OF BIBLIOGRAPHY LIST

[1] C. Leacock and M. Chodorow, “Combining local context and WordNet similarity for word sense identification,” in WordNet, An Electronic Lexical Database, The MIT Press, 1998.

[2] M. E. Lesk, “Automatic Sense Disambiguation Using Machine Readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone,” in Proceedings of SIGDOC Conference, 1986.

[3] B. Liu and L. Zhang, “A survey of opinion mining and sentiment analysis,” in Mining Text Data, 2012, pp. 415–463.

[4] C. C. Aggarwal and C. Zhai, “A survey of Text Classification Algorithms,” in Mining Text Data, Springer US, 2012, p. 533.

[5] G. Song, Y. Ye, X. Du, X. Huang, and S. Bie, “Short Text Classification: A Survey,” J. Multimed., vol. 9, no. 5, pp. 635–643, 2014.

[6] C. D. Manning, P. Raghavan, and H. Schultze, Introduction to Information Retrieval. Cambridge University Press, 2009.