Archives

  • IJIDS Volume 2 No. 1 2023
    Vol. 2 No. 1 (2023)

    This journal accepts scientific writings that are based on the theme of Data Science, with the scope of research covering the use or development of several methods such as statistical learning (relationships between variables to gain insight) and machine learning (models capable of making predictions) which are applied to various data from sampling results structured or unstructured which arise from various problems in the field of scientific research such as the environment, etc.  
  • IJIDS Volume 2 No. 2, 2023
    Vol. 2 No. 2 (2023)

     

    IJIDS volume 2 no 2 of 2023 is the second online publication which contains 7 articles
    in Indonesian. The number of pages contained in this publication is 81 pages.

    There is research on geographic information systems, information systems, information system audits in this publication.  

     

  • Volume 3 Nomor 1 2024
    Vol. 3 No. 1 (2024)

    IJIDS Volume 3, No. 1 of 2024 features seven Indonesian-language articles across 72 pages. Topics include mangrove ecosystem mapping with remote sensing, a decision support system for school recommendations using SAW, consumer price index forecasting in Palu with ARIMA, flood-prone area mapping with GIS, flood evacuation route optimization in Manado using Dijkstra’s algorithm, a web-based academic service system at FMIPA UNSRAT, and a web-based pharmacy information system with PXP and MVC architecture.

  • Volume 3 Nomor 2 2024
    Vol. 3 No. 2 (2024)

    IJIDS Volume 3, No. 2 of 2024 is the second publication of the year, featuring seven articles written in Indonesian and English. This edition consists of 69 pages.

    This publication broadly covers topics such as the development of web-based information systems for drug sales and tourism mapping, geographic information systems for restaurant and coffee shop locations, simulation of hydroponic plant monitoring using Arduino, selection analysis for school principal candidates using the SAW method, an expert system for gastric disease diagnosis, and an e-assessment system for final exams at the Department of Mathematics, Sam Ratulangi University.