Author Guidelines

Author Guidelines

Manuscripts must be submitted using the Online Submission System on the Journal of Computer and Technology portal (https://ojs.ninetyjournal.com/index.php/COMTECHNO) after registering as an Author in the "Register" section. The author(s) can find the online submission procedures at the end of this guide. The author(s) shall use the manuscript template provided by Journal of Computer and Technology.

Download these guides for journal writing instructions and Mendeley usage:

Template Journal

Download the official manuscript template before submitting your paper

Template

Manuscript Structure

The article should contain the following sections:

  1. Introduction
  2. Research Methods (can include analysis, architecture, methods used to solve problems, implementation)
  3. Results and Discussion
  4. Conclusions
  5. Acknowledgments (if any) and References

Title

Written in title case, maximum 15 words, Times New Roman, 14pt, bold, and centered.

Author One*1, Author Two2, Author Three3, Author Four4

1Department, Faculty, Institution, City, Country
2Department, Faculty, Institution, City, Country
3,4Department, Faculty, Institution, City, Country
Email: 1email@gmail.com, 2email@gmail.com, 3email@gmail.com, 4email@gmail.com

Author names are written sequentially without academic titles, followed by superscript numbers indicating their respective affiliations. Each affiliation includes the department, faculty, institution, city, and country, corresponding to the superscript number listed next to each author's name. If two or more authors share the same affiliation, their superscript numbers may be grouped accordingly. Email addresses are listed in order, matching each author's superscript number, and separated by commas. Author names, affiliations, and emails should not be bolded and must be presented in a clean and consistent format.

Abstract

The abstract must be written in English and placed in this section. It should provide a concise and comprehensive overview of the manuscript, including the background, research problem, objectives, methods, results, and conclusions.

The abstract must be written in Times New Roman, 10 pt, using a single-column format with single line spacing (1.0). The maximum length of the abstract is 250 words. Citations, references, figures, and tables are not permitted in the abstract. The abstract should be written clearly, concisely, and objectively to reflect the main contribution and findings of the study.

Keywords

Keywords should clearly represent the content of the manuscript and consist of a maximum of five words or phrases. Keywords must be written in lowercase letters, except for abbreviations or proper nouns, arranged in alphabetical order, and separated by semicolons (;). The keywords should be written in Times New Roman, 10 pt.

Introduction

The Introduction section should provide a clear, logical, and concise explanation of the research context and significance. This section is intended to introduce the problem being studied, explain its importance, review relevant previous studies, identify research gaps, and clearly state the objectives and contributions of the study.

The Introduction must be written in Times New Roman, 10 pt, using a single-column format with single line spacing (1.0) and justified alignment. The section title must be written in uppercase letters and bold style. The content of the Introduction generally covers approximately 10–20% of the total manuscript length.

The Introduction should be written in a structured and coherent flow, beginning with a broad explanation of the research topic and progressively narrowing toward the specific problem addressed in the study.

The Introduction section must contain the following components:

  • Research Background: Explain the context, significance, and motivation of the study. Authors should describe the practical problem, scientific issue, or technological challenge that motivates the research.
  • Related Work / Previous Studies: Provide a concise review of relevant prior studies related to the research topic. The discussion should highlight previous approaches, methods, findings, strengths, and limitations. Avoid excessive theoretical explanations, textbook-style definitions, or unrelated discussions.
  • Research Gap Analysis: Clearly identify unresolved problems, limitations, inconsistencies, or challenges found in previous studies. Authors should explain why existing approaches remain insufficient and why further research is necessary.
  • State-of-the-Art: Present recent developments, current trends, or advanced methods relevant to the research topic. This section should position the study within the existing body of knowledge.
  • Novelty and Contribution: Clearly explain the originality and scientific contribution of the proposed study. Authors should emphasize what differentiates the proposed framework, model, method, or approach from previous research.
  • Research Objectives: Clearly state the objectives, scope, or research questions addressed in the study. The objectives should align with the identified research problem and gap.

Citations in the Introduction section must follow the IEEE citation style, written in sequential numbering format such as [1], [2]–[5], according to the order in which references appear in the manuscript.

Research Method

The Research Method section explains the procedures, techniques, models, algorithms, experimental design, datasets, and analytical approaches used to address the research problem. This section should provide sufficient detail to allow other researchers to understand, reproduce, or validate the study.

The Research Method must be written in Times New Roman, 10 pt, using a single-column format, single line spacing (1.0), and justified alignment. The section title must be written in uppercase letters and bold style. The content of the Research Method generally covers approximately 20–30% of the total manuscript length.

The Research Method section should generally contain the following components:

  • Research Design / Framework: Describe the overall research framework, workflow, or experimental design used in the study.
  • Dataset / Data Collection: Explain the source of the dataset, sampling methods, data acquisition process, inclusion criteria, and preprocessing techniques if applicable.
  • Proposed Method / Algorithm: Clearly explain the proposed method, algorithm, framework, or model used in the study. If an algorithm or computational approach is used, authors should explain the workflow, equations, parameters, and implementation details.
  • System Architecture / Model Design: Describe the system architecture, model structure, feature extraction process, computational framework, or network architecture used.
  • Evaluation Metrics: Explain the performance evaluation metrics used in the study, such as accuracy, precision, recall, F1-score, AUC, IoU, Dice Coefficient, or other relevant measures.
  • Experimental Setup: Describe the software, hardware, parameter settings, training configurations, validation techniques, and implementation environment used in the experiment.

Results and Discussion

The Results and Discussion section presents the findings of the research, experimental results, testing outcomes, and their interpretation. This section should not only describe the obtained results but also provide a comprehensive discussion, analysis, comparison, and explanation of their significance.

The Results and Discussion must be written in Times New Roman, 10 pt, using a single-column format, single line spacing (1.0), and justified alignment. The section title must be written in uppercase letters and bold style. The Results and Discussion section is generally the largest portion of the manuscript, covering approximately 40–60% of the total manuscript length.

The Results and Discussion section should generally contain the following components:

  • Experimental Results: Present the results of experiments, simulations, system implementation, observations, or testing procedures. Results may be presented in the form of tables, figures, graphs, confusion matrices, performance metrics, or other relevant visualizations.
  • Result Analysis and Interpretation: Explain the meaning of the obtained results. Authors should interpret findings scientifically and explain their implications in relation to the research objectives.
  • Comparison with Previous Studies or Baseline Methods: Compare the obtained results with previous studies, baseline models, or state-of-the-art approaches to demonstrate performance improvements or methodological advantages.
  • Discussion of Strengths and Limitations: Discuss the strengths, weaknesses, limitations, challenges, or constraints of the proposed method or system.
  • Practical or Scientific Implications: Explain the contribution, usefulness, or potential application of the research findings in academic, industrial, or practical contexts.

Conclusion

The Conclusion section presents the main findings, contributions, and implications of the study. This section serves as the core summary of the entire manuscript, highlighting how the research objectives have been achieved and how the proposed method, framework, or approach addresses the identified problem.

The Conclusion must be written in Times New Roman, 10 pt, using a single-column format, single line spacing (1.0), and justified alignment. The section title must be written in uppercase letters and bold style. The Conclusion must be written in paragraph form only and must not be presented in bullet points, numbering, or list format.

Subsections (e.g., 4.1, 4.2) are not allowed in the Conclusion section. The content should be written as a coherent closing discussion in one or more connected paragraphs.

Acknowledgments (Optional)

Acknowledgments can be given after the conclusion and before the bibliography. Authors can write this section or delete it. Acknowledgments are reserved for funders and research objects only. Writing acknowledgments outside of these two things is not allowed.

Declarations

Author Contributions (Please choose one option below):

Option 1: Author 1 [Full Name]: Conceptualization, Methodology, Software, Writing–original draft. Author 2 [Full Name]: Data curation, Software. Author 3 [Full Name]: Validation, Visualization. Author 4 [Full Name]: Validation, Visualization. Author 5 [Full Name]: Supervision, Methodology, Writing–review & editing. Author 6 [Full Name]: Methodology, Writing–review & editing.

Option 2: Author 1 [Initials]: Conceptualization, Methodology, Software, Writing–original draft. Author 2 [Initials]: Data curation, Software. Author 3 [Initials]: Validation, Visualization. Author 4 [Initials]: Validation, Visualization. Author 5 [Initials]: Supervision, Methodology, Writing–review & editing. Author 6 [Initials]: Methodology, Writing–review & editing.

Option 3: The author confirms sole responsibility for the study conception and design, data collection, analysis and interpretation of results, and manuscript preparation.

Funding (Please choose one option below):

Option 1: The authors received no financial support for the research, authorship, and/or publication of this article.

Option 2: This work was supported by [Name of Funding Agency/University] under Grant Number [Insert Contract/Grant Number].

Conflicts of Interest (Please choose one option below):

Option 1: The authors declare that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Option 2: The authors declare no conflict of interest regarding the publication of this paper.

Data Availability (Please choose one option below):

Option 1: The datasets and source code generated during the current study are available in the [Name of Repository, e.g., GitHub] repository at [Insert Link URL or DOI].

Option 2: The data that support the findings of this study are available from the corresponding author upon reasonable request.

Option 3: All data generated or analyzed during this study are included in this published article.

AI Use Statement (Please choose one option below):

Option 1: During the preparation of this work, the authors used [Insert AI Tool Name, e.g., ChatGPT / Gemini] in order to improve the language and readability of the manuscript. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the final content of the published article.

Option 2: The authors utilized [Insert AI Tool Name, e.g., ChatGPT / GitHub Copilot] during the software development and data analysis phase of this study. The final outputs and code logic were fully verified, tested, and approved by the authors.

Option 3: The authors declare that no generative AI or AI-assisted technologies were used during the preparation, writing, or analysis of this manuscript.

Additional Information (Please choose one option below):

Option 1: No additional information is available for this paper.

Option 2: Supplementary material related to this article can be found in the online version.

References

The bibliography is the last part of writing a paper article in the Journal of Computer and Technology. Reference sources should be published in the last 6 years, except for the bibliography of books/primers. The minimum number of bibliography is 10 references. Preferred references are research papers in journals, conferences and/or current scientific magazines. Other references can be in the form of textbooks or research reports (including Thesis/Final Project, Thesis, and Dissertation), but are not expected to exceed 20% of the total number of references.

The writing of the bibliography uses the IEEE Format with the order in accordance with the order of citation in the paper manuscript. Sources written in the bibliography must have been referred to in the manuscript, written sequentially. It is recommended to use tools such as Mendeley, Zotero, or other reference management tools.

Example of Bibliography List

[1] S. M. Ayyoubzadeh, A. Almasizand, S. Rostam Niakan Kalhori, T. Baniasadi, and S. Abbasi, "Early Breast Cancer Prediction Using Dermatoglyphics: Data Mining Pilot Study in a General Hospital in Iran," Heal. Educ. Heal. Promot., vol. 9, no. 3, pp. 279–285, 2021.

[2] B. Imran, Zaeniah, Sriasih, S. Erniwati, and Salman, "Data Mining Using a Support Vector Machine, Decision Tree, Logistic Regression and Random Forest for," J. INFOKUM, vol. 10, no. 2, pp. 792–802, 2022.

[3] Suharjito, B. Imran, and A. S. Girsang, "Family relationship identification by using extract feature of gray level co-zoccurrence matrix (GLCM) based on parents and children fingerprint," Int. J. Electr. Comput. Eng., vol. 7, no. 5, pp. 2738–2745, 2017, doi: 10.11591/ijece.v7i5.pp2738-2745.

[4] B. Imran, Hambali, and L. D. Bakti, "Implementation of Machine Learning Model for Pneumonia Classification Based on X-Ray Images," J. Mantik, vol. 5, no. 3, pp. 2101–2107, 2021.

[5] B. Imran, K. Gunawan, M. Zohri, and L. D. Bakti, "Fingerprint pattern of matching family with GLCM feature," Telkomnika (Telecommunication Comput. Electron. Control., vol. 16, no. 4, pp. 1864–1869, 2018, doi: 10.12928/TELKOMNIKA.v16i4.8534.

[6] E. M. Alanazi, A. Abdou, and J. Luo, "Predicting risk of stroke from lab tests using machine learning algorithms: Development and evaluation of prediction models," JMIR Form. Res., vol. 5, no. 12, pp. 1–10, 2021, doi: 10.2196/23440.

[7] Y. I. Kurniawan, A. Rahmawati, N. Chasanah, and A. Hanifa, "Application for determining the modality preference of student learning," in Journal of Physics: Conference Series, 2019, vol. 1367, no. 1, pp. 1–11, doi: 10.1088/1742-6596/1367/1/012011.

[8] Y. Guo, S. Han, Y. Li, C. Zhang, and Y. Bai, "K-Nearest Neighbor combined with guided filter for hyperspectral image classification," in International Conference On Identification, Information and Knowledge in the Internet of Things, 2018, pp. 159–165.

[9] Y. I. Kurniawan, E. Soviana, and I. Yuliana, "Merging Pearson Correlation and TAN-ELR algorithm in recommender system," in AIP Conference Proceedings, 2018, vol. 1977, doi: 10.1063/1.5042998.

[10] M. Sridevi, S. Aishwarya, A. Nidheesha, and D. Bokadia, Anomaly Detection by Using CFS Subset and Neural Network with WEKA Tools. Springer Singapore.

[11] C. Low, "NSL-KDD Dataset," 2015. https://github.com/defcom17/NSL_KDD (accessed Sep. 13, 2019).

[12] D. Handoko, "Sistem Pendukung Keputusan Seleksi Penentuan Penerima Beasiswa Dengan Metode Simple Additive Weighting (SAW)," Universitas Muhammadiyah Surakarta, 2016.