For submission, the authors are required to use the available template in ojs with the following guidelines.

1. Authors should submit only papers that have been carefully proofread and polished in English Languange and Indonesian Languange
2. The work should not have been published or submitted for publication elsewhere, or extended version of previously published papers in conferences and/or journals.
3. All manuscripts must be submitted to SICE Editorial Office by Online Submission at publisher portal url:  sice.umsida.ac.id author must be created user and password, after login click new submission and follow the next process. If authors have any problems on the online submission, please contact Editorial Office at the following email: sice@umsida.ac.id cc editor@umsida.ac.id.
4. Manuscript should be prepared according to the following article template: (download). 
5. Three types of manuscripts are acceptable for publication: Original Research Articles (6000-7000 words), Review Articles, and Brief Reports (3000-4000 words). 
6.  Upload four types of files: (i) original manuscript; (ii) anonymized manuscript (author's name and acknowledgements removed); (iii) cover page (a biodata detailing your affiliations and academic career)
   (iv) author's agreement
7. Cite the main scientific publications on which your work is based. 
8. Cite only items that you have read and on running notes. 
9. Do not inflate the manuscript with too many references. Avoid excessive self?citations. 
10. Avoid excessive citations of publications from the same region. 
11. Check each reference against the original source (authors name, volume, issue, year, DOI Number). 
12. Please use Reference Manager Applications like EndNote, Mendeley, Zotero, etc. (we suggest Mendeley).
13. The following documents should accompany the manuscripts submitted by online through online submission interface (as supplementary files and letter to editor):

• A cover letter, outlines the basic findings of the paper and their significance (an author roadmap research, curriculum vitae, and competing interest) (as letter to editor and supplementary files) 

Data Sharing

For sharing research data, this journal using Harvard dataverse to preserve research data, if you intend to preserve and sharing your research data for greater impact on global knowledge please pay attention on this instruction:

1. Definition of data that must be shared :

A "minimal dataset" can be defined to consist of the dataset used to reach the conclusions drawn in the manuscript with related metadata and methods, and any additional data required to replicate the reported study findings in their entirety. Include sufficient information for a researcher to understand data, and any citations to data from which the replication set is derived. Core descriptive data, methods, and study results should be included within the main paper, regardless of data deposition. Authors who have datasets too large for sharing via repositories or uploaded files should contact Rechtsidee for advice. (Adapted from PLOS' Data Policy)

1. Guidance on sharing datasets that derive from work involving human participants

Rechtsidee recognizes that there are cases where for reasons of privacy, national security and commercial confidentiality the full data cannot be made openly available. In such cases researchers should share their data analysis under the least restrictive terms consistent with legal requirements, and abiding by the research ethics and guidelines of their community. This should include opening up non-sensitive data, summary data, metadata and code; and facilitating access if the owner of the original data grants other researchers permission to use the data. (Adapted from OKF's Open Economics Principles)

1. Guidance on Data Citation

If your research data is deposited at the same time as your manuscript using OJS' article submission form then a Data Citation will automatically be generated by the Harvard Dataverse. However, if your research data is already in a repository then here is the suggested Data Citation format to include when you submit your manuscript:

Author(s), Year, Dataset Title, Global Persistent Identifier, Data Repository or Archive, version and subset.

For more information on Data Citation best practices please review Force11's Data Citation Principles.

 

Manuscript document submitted to this journal (in one MS Word) should be arranged as follow:

ABSTRACT

The abstract should be clear, concise, and descriptive. This abstract should provide a brief introduction to the problem, objective of paper, followed by a statement regarding the methodology and a brief summary of results. Abstracts are written in 10 pt Times New Roman and preferably not more than 250 words. 1space.

1. Introduction

In introduction, authors should state the objectives of the work at the end of introduction section. Before the objective, authors should provide an adequate background, and very short literature survey in order to record the existing solutions/method, to show which is the best of previous researches, to show the main limitation of the previous researches, to show what do you hope to achieve (to solve the limitation), and to show the scientific merit or novelties of the paper. Avoid a detailed literature survey or a summary of the results.

2. Methods- for Original Research Article only

This material and method as much as possible to give an idea to the reader through the methods used (Sa’aati, 2003) (references on this template is just an example). Sub-subhead on this method comprising at least on type of research; location research; materials law source; data collection technique; and data analysis.

3. Findings and Discussion- Review Article uses Discussion

Results should be clear and concise. The results should summarize (scientific) findings rather  than providing data in great detail (Ahmadjayadi, 2003). Please highlight differences between your results or findings and the previous publications by other researchers.

 

Tables and Figures are presented center, as shown below and cited in the manuscript.

TABLE 3. Frequencies of students’ semantic errors of lexis based on lexical errors taxonomy (James, 1998)

No.	Types of Errors	Sub-types	Frequency	Percentage
1.	Confusion of sense relations	Using hypernym instead of hyponym	-	0%
		Using hyponym instead of hypernym	-	0%
		Using inapt co-hyponym	-	0%
		Using the wrong near-synonym	73	97.33%
Sub-total			73	97.33%
2.	Collocational errors	Semantically determined word selection	-	0%
		Statistically weighted preferences	-	0%
		Arbitrary combinations	2	2.67%
		Irreversible binomials	-	0%
Sub-total			2	2.67%
Total			75	100%

 

The discussion should explore the significance of the results of the work, not repeat them. A combined Results and Discussion section is often appropriate. Avoid extensive citations and discussion of published literature.

4. Conclusions

Contains a description of the conclusions and suggestions that answer questions and formulation of the problem with succinctly and clearly. Because, without a description of the clear cover, reviewers are and the reader would find it difficult to give an assessment of your article. Do not repeat the Abstract, or simply describe the results of research. Give a clear explanation regarding the possible application and / or suggestions related to the research findings.

 

Acknowledgments

Recognize those who helped in the research, especially funding supporter of your research. Include individuals who have assisted you in your study: Advisors, Financial supporters, or may other supporter i.e. Proofreaders, Typists, and Suppliers who may have given materials.

References (a References example)

Ahn, T. Y., & Lee, S. M. (2016). User experience of a mobile speaking application with automatic speech recognition for EFL learning. British Journal of Educational Technology, 47(4), 778-786. https://doi.org/10.1111/bjet.12354

Alek, A., Marzuki, A. G., Farkhan, M., & Deni, R. (2020). Self-assessment in exploring EFL students’ speaking skill. Al-Ta’lim Journal, 27(2), 208-214. https://doi.org/10.15548/jt.v27i2.613

Alsied, S. M. (2019). The role of mobile phones as effective tools for language learning by Libyan EFL learners. JEELS (Journal of English Education and Linguistics Studies), 6(2). https://doi.org/10.30762/jeels.v6i2.114

Andujar, A., & Salaberri-Ramiro, M. S. (2021). Exploring chat-based communication in the EFL class: computer and mobile environments. Computer-assisted language learning, 34(4), 434-461. https://doi.org/10.1080/09588221.2019.1614632