Journal Technology Information and Data Analytic is a scientific journal managed by the Faculty of Engineering, Darma Persada University. TIFDA is an open access journal that provides free access to the full text of all published articles without charging access fees from readers or their institutions. Readers are entitled to read, download, copy, distribute, print, search, or link to the full text of all articles in the TIFDA Journal. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. This journal is published twice a year, in June and December. If the manuscript does not comply with the guidelines, the manuscript will be REJECTED by the editor before further review. The editors will only accept manuscripts that comply with the specified format and have never been published online or in print before.

Vol. 2 No. 2 (2025)

Journal of Technology Information and Data Analytic is an open access peer-reviewed journal that presents research results on all aspects related to ICT science in the fields of informatics engineering, information technology and information systems. TIFDA Journal was first published in September 2024 and is then published twice a year, in June and December by the Faculty of Engineering, Darma Persada University. This journal keeps readers up-to-date on current issues, new research, useful products, and services related to the field of information technology (ICT). This journal can be used by lecturers, students, and the public who are interested in problems in the field of ICT, with the registration number ISSN: 3064-0660 (Online).

Journal of Technology Information and Data Analytic is in the process of being indexed by:

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Published: 2025-12-20

Development of a Digital Signature Classification Information System for Documents

Yahya Yahya, Eva Novianti, Anand Fiardhi Ramadhan

66-72

Abstract View: 193, PDF Download: 213 DOI : https://doi.org/10.70491/tifda.v2i2.116

Development of a Decision Support System for Motorcycle Credit Eligibility Using the TOPSIS Method

Endang Ayu Susilawati, Eva Novianti, Avida Awitia, Yahya

85-91

Abstract View: 185, PDF Download: 130 DOI : https://doi.org/10.70491/tifda.v2i2.113

Decision Tree Regression Approach to Modeling Dengue, Tuberculosis, and Diarrhea Case Numbers

Muhammad Dzaki Zahirsyah, Timor Setiyaningsih

126-130

Abstract View: 134, PDF Download: 103 DOI : https://doi.org/10.70491/tifda.v2i2.121
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