Author Guidelines

TITLE Written uppercase, Max. 18 Words, times new roman, 12pt, bold, and centered ABSTRACT Abstract provides an overview of the contents of the paper and must be written in Times New Roman 10 in one column format and linespacing 1. The maximum length of the abstract is 250 words. If there are foreign terms that have not been standardized, they are written in italic form. It is not allowed to do citations in the abstract section. INTRODUCTION The contents of the introduction contain the background, objectives, problem identification and research methods, which are implicitly presented. Except for the Introduction chapter and the Conclusion chapter, the writing of chapter titles should explicitly adjust the contents. It does not have to be implicitly stated as the basis for theory, design, and so on. The contents of the introduction generally only cover 10-20% of the total paper. Don't forget to include the objectives of the research conducted in this paper. METHOD The content of the research method is to formulate the problem under study in more detail (as far as possible written mathematically) and explain the proposed method. When using an algorithm, it can be described in this section, along with the state of the art. The content of research methods generally only covers 20-30% of the total paper. RESULT This section describes the results of the research and the tests that have been carried out. In addition, it is also conveyed about the discussion of the research and testing that has been done. The results and discussion should be the most content chapter in a paper. The contents of the results and discussions can reach 50-65% of the total paper. CONCLUSION Conclusions are at the core of the entire paper. Made in paragraph form, and not in list form. The conclusion does not repeat the sentence in the abstract. CITATION AND BIBLIOGRAPHY This journal uses IEEE citation style. In-text citations are written using arabic numbers inside square brackets and are ordered by their occurrence in the writing. Please ensure that every reference cited in the text is also present in the reference list (and vice versa). Minimum bibliography is 10 references from 6 years latest primary references (Journals, conferences, books) . REFERENCES MANAGEMENT SOFTWARE We strongly recommend the use of reference/citation manager such as Mendeley or Zotero when writing your article. Open-source reference manager are available to use without charge or with a small cost. EXAMPLE OF BIBLIOGRAPHY LIST Examples of journal bibliography are numbers 1, 2, 3, 4, 5 and 6. Examples of conference bibliographies are numbers 7, 8, and 9. Example of bibliography for books is in number 10. Example of bibliography from the web is in number 11. Example of bibliography for theses / dissertations is in number 12. [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. (accessed Sep. 13, 2019). [12]     D. Handoko, “Sistem Pendukung Keputusan Seleksi Penentuan Penerima Beasiswa Dengan Metode Simple Additive Weighting (SAW),” Universitas Muhammadiyah Surakarta, 2016.