Author Guidelines
Manuscript can be submitted by online submission to http://journal.uinjkt.ac.id/index.php/valensi/about/submissions#onlineSubmissions
Aims and Scope
Jurnal Kimia VALENSI is a peer-reviewed journal focuses on chemistry field including analytical chemistry, physical chemistry, organic chemistry, inorganic chemistry, biochemistry, and the other field related to chemistry.The scope of the journal but is not restricted to the following area :
- Theoretical and Computational Chemistry
- Enviromental Chemistry
- Material, composite and polymer chemistry
- Natural product chemistry
- Food and medical chemistry
- Biomolecules (isolation, purification, application and modification)
Type of paper
Jurnal Kimia Valensi welcomes full research papers, review articles (invitation only) and short communications from the chemist expert of interested area. Full research papers should be submitted in general about 3000-5000 words (12 printed pages) including figures and tables. A short communication should not exceed 2000 words (4 printed pages) with maximum 3 figures or tables.
Publication fee
For one article approved for publication, it will be charged IDR 2,500,000 or 200 USD for foreign authors. The author will get 2 copies of print out journal (print) which will then be sent to the author's address.
Open Access journal, Jurnal Kimia Valensi is free to access and read on the website/Internet. The publisher guarantees that no reader will ever have to buy a subscription or pay-per-view fees to access the articles published in this journal.
Author statement letter
An author should make the statement letter for originality. The statement letter application can be DOWNLOAD HERE.
Article preparation
Article should be prepare using common word processor software (e.g. Microsoft-Word®), prepared in Indonesian or English language, type single column in Times New Roman font with size of 12, space of 1.5, page size of A4, left and top margins of 3 cm, right and bottom margin of 2.5 cm.
Download MANUSCRIPT TEMPLATE
Article structure
Article main heading should use bold font with Arabic numbering (example 1. Introduction, 2. Materal and Methods, 3. Results and Discussion, etc.). The sub heading should use normal font, with numbering of 1,2, and 3.
Title
Title information including:
- Article title (maximum of 20 words), write both in English and Indonesian (for Indonesian author only).
- Author name and affiliation, mark with superscript numbering 1,2, etc. of different author affiliations.
- Corresponding author, mark with superscript asterisk , this would be used to mark the email address of the corresponding author, above the all author affiliation
Abstract
Abstract should state briefly the purpose of the research, methodology, main result and major conclusions. Abstract should not more than 200 words, write both in English and Indonesian (for Indonesian author only).
Keywords
Provide 3-5 word, alphabetically ordered, using the same language as abstract. Avoid using multiple concept and plural term (e.d. and, of). These keywords will be used for indexing process.
Introduction
State the objectives of the work and provide an adequate background, avoiding a detailed literature survey or a summary of the results.
Material and methods
Provide sufficient material and instrumentation mainly used in the work. Provide detail of the research method to allow the work to be reproduced. Methods already published should be indicated by a reference: only relevant modifications should be described.
Results and Discussion
Combination of results and discussion section used and should be clear and concise. This should explore the significance of the results of the work, not repeat them. Avoid extensive citations and discussion of published literature.
Conclusions
The main conclusions of the study should be presented in a short Conclusions section.
Acknowledgement
Supporting grant, collaboration or institution can be placed in this section.
Appendices / Supplementary data
Only necessary data can be included in the appendices (print version). Supporting data / information for online publication can be submitted in separate file of the manuscript.
Math formulae
Present simple formulae in the line of normal text where possible and use the solidus (/) instead of a horizontal line for small fractional terms, e.g., X/Y. In principle, variables are to be presented in italics. Powers of e are often more conveniently denoted by exp.
Figure
Figure artwork (digital photograph, chromatogram, scheme) should be clear with minimum resolution of 300 dpi. Artwork or scheme prepared using Ms Word, Ms Excel or Ms Powerpoint should be saved as tiff or JPG to avoid miss layout. Please put the figures inside the manuscript according to the related text, do not place the figures separately in the last of the manuscript.
Figure caption
Ensure each figure has a caption, place below the figure, center alignment, sentence case and avoid to use the uncommon abbreviation. Use the bold font of the figure caption (e.g Figure 1).
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)
Table
Use horizontal border on the table header and last line, without vertical border. Place the table caption above the table. Footnote (if necessary) should be place below the table, with smaller font size of the table font.
References
Type
The references used should be minimum of 80% journal article and also minimum of 80% up to date reference (maximum of 10 years).
Style
The reference style used according to the APA (American Psychological Association) 6th edition. It is highly recommended to use the reference manager to organize the references such as Zotero, Mendeley or Endnote.
The APA 6th Style can be found here:
Endnote Thomson Reuters: http://endnote.com/styles/APA%206th.ens
Mendeley: http://csl.mendeley.com/
List of references
Book
Koolman, J., & Rhm, K. H. (2005). Color atlas of biochemistry. Stuttgart; New York: Thieme.
Journal Article
Fatoni, A., Numnuam, A., Kanatharana, P., Limbut, W., Thammakhet, C., & Thavarungkul, P. (2013). A highly stable oxygen-independent glucose biosensor based on a chitosan-albumin cryogel incorporated with carbon nanotubes and ferrocene.Sensors and Actuators B: Chemical, 185, 725-734.
Conference Proceeding
Fatoni, A., Dwiasi, D. W., & Hermawan, D. (2016). Alginate cryogel based glucose biosensor. In IOP Conference Series: Materials Science and Engineering (Vol. 107, No. 1, p. 012010). IOP Publishing.