The Title Is Written In Cambria 12, Bold, Initial Capital (14 Words Maximum)

Writer 11), Writer 22) etc. [Cambria 10, Bold, Italic, and No Abbreviations for Names]

First Author*1, SecondAuthor2, Third Author3

1,2,3affiliation (Departemen, Institusi, Negara)

123Informatika, Fakultas Teknik, Universitas Negeri Semarang, Indonesia

*e-mail: xxxx@xxxx.xxx1, xxxx@xxxx.xxx2,xxxx@xxxx.xxx3

Received: 28th April 2022| Revised: 5th May 2021| Accepted: 31st May 2022

Nomor Handphone Untuk keperluan koordinasi : 0856-7879-1910

Abstract [Cambria  11, Bold]

Abstract is written in English or Bahasa Indonesia which briefly describes the main issues, objectives, method and findings of research in a single paragraph around 250-300 words. (Cambria 11, single space, and justified).

Keywords        : 5 keywords maximum separated by a comma from one keyword to the next.  [Cambria 11 Italic, single space]

1. INTRODUCTION  (Cambria 11, Bold)

The introduction covers the research background, research questions, research objectives, significance of research, and literature review (including the underlying theories). Each part is not written in different sub-headings. (Cambria 11, space 1.5)

2. RESEARCH METHOD

In this part, research design, research scope or objectives, research tools and primary data, research setting, technique of data collection, operational research, and technique of data analysis are presented.    

3. FINDINGS AND DISCUSSION

This part elaborates the research findings and discussion. The research findings may contain tables, graphs, and/or diagrams. The discussion gives information on data analysis, logic interpretation on the findings, and the relation of the findings to relevant theories. Further research can be inserted in this part. This part also enables the writer to use sub-headings. Sample table and picture are displayed in the following. (Cambria 11, space 1.5)

1. Sub-heading 1

The sub-heading refers to the article’s topic. If a sub sub-heading is needed, the numbering is proceeded as follows:

1. Sub sub-heading 2

If you use the table in the article please involve the number of the table and also its title, for example:

Table 1. Cambria 10pt Initial Capital, space 1

Further, If you use the picture/ figure in the article please involve the number of the picture/ figure and also its title, for example:

Figure 1. Cambria 10pt Initial Capital, space 1

3.1.2 Etc.

The number of sub-headings is in accordance with the research objectives/discussion.

2. Sub-Heading 2

3. Etc.

4. CONCLUSION

The conclusion comprises the summary of research findings and discussion. Recommendations may also be inserted in this chapter. (Cambria 11, space 1.5)  

REFERENCES

In the manuscript referencing process, it is recommended to use the citation manager applications such as Mendeley, Zotero, Reffwork, End Note. (Cambria 11, line space 1, space before 6pt and after 6pt ).

The referencing style must apply APA (American Psychological Association) which the guidelines may refer to this link http://www.bibme.org/citation-guide/apa/.

Examples:

Ahmad, J., Hasan, A. ul, Naqvi, T., & Mubeen, T. (2019). A Review on Software Testing and Its Methodology. Manager’s Journal on Software Engineering, 13(1), 32–38. https://doi.org/10.26634/jse.13.3.15515

Aljawarneh, S., Aldwairi, M., & Yassein, M. B. (2018). Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model. Journal of Computational Science, 25(1), 152–160. https://doi.org/10.1016/j.jocs.2017.03.006

Guo, Y., Han, S., Li, Y., Zhang, C., & Bai, Y. (2018). K-Nearest Neighbor combined with guided filter for hyperspectral image classification. International COnference On Identification, Information and Knowledge in the Internet of Things, 159–165.

Handoko, D. (2016). Sistem Pendukung Keputusan Seleksi Penentuan Penerima Beasiswa Dengan Metode Simple Additive Weighting (SAW). In Program Studi Teknik Informatika (Vol. 5, Issue 2). Universitas Muhammadiyah Surakarta.

Kurniawan, Y. I., Rahmawati, A., Chasanah, N., & Hanifa, A. (2019). Application for determining the modality preference of student learning. Journal of Physics: Conference Series, 1367(1), 1–11. https://doi.org/10.1088/1742-6596/1367/1/012011

Kurniawan, Y. I., Soviana, E., & Yuliana, I. (2018). Merging Pearson Correlation and TAN-ELR algorithm in recommender system. AIP Conference Proceedings, 1977. https://doi.org/10.1063/1.5042998

Low, C. (2015). NSL-KDD Dataset. https://github.com/defcom17/NSL_KDD

Shams, E. A., & Rizaner, A. (2018). A novel support vector machine based intrusion detection system for mobile ad hoc networks. Wireless Networks, 24(5), 1821–1829. https://doi.org/10.1007/s11276-016-1439-0

Sridevi, M., Aishwarya, S., Nidheesha, A., & Bokadia, D. (n.d.). Anomaly Detection by Using CFS Subset and Neural Network with WEKA Tools. Springer Singapore. https://doi.org/10.1007/978-981-13-174