JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia), a four times annually provides a forum for the full range of scholarly study. JSIKTI scope encompasses data analysis, natural language processing, artificial intelligence, neural networks, pattern recognition, image processing, genetic algorithm, bioinformatics/biomedical applications, biometrical application, content-based multimedia retrievals, augmented reality, virtual reality, information system, game mobile, dan IT bussiness incubation.

The journal publishes original research papers, short communications, and review articles both written in English or Bahasa Indonesia. The paper published in this journal implies that the work described has not been, and will not be published elsewhere, except in abstract, as part of a lecture, review or academic thesis. Paper may be written in English or Indonesian, however paper in English is preferred.

Please read these journal guidelines and template carefully. Authors who want to submit their manuscript to the editorial office of JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) should obey the writing guidelines. If the manuscript submitted is not appropriate with the guidelines or written in a different format, it will BE REJECTED by the editors before further reviewed. The editors will only accept the manuscripts which meet the assigned format.

JSIKTI is published four times annually, March, June, September and December by INFOTEKS (Technology Information, Computer and Sciences Association), with e-ISSN: 2655-7290 and p-ISSN: 2655-2183.

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You have to make sure that your paper is prepared using the JSIKTI paper TEMPLATE, has been carefully proofread and polished, and conformed to the author guidelines.

Open Journal Systems (OJS) has been applied for all business process in JSIKTI. Therefore, the authors are required to register in advance and upload the manuscript by online. The process of the manuscript could be monitored through OJS. Authors, readers, editorial board, editors, and peer review could obtain the real time status of the manuscript. Several other changes are informed in the Journal History.

Vol 8 No 2 (2025): December

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JSIKTI: Journal of Information Systems and Applied Computer Technology Indonesia, Volume 8 Number 2 (December 2025) presents a collection of advanced studies in deep learning, medical imaging, and applied computational methods contributed by researchers from the Institut Bisnis dan Teknologi Indonesia (Indonesia), Okayama University (Japan), Deakin University (Australia), the National Taiwan University of Science and Technology (Taiwan), Universitas Musamus Merauke (Indonesia), and Universitas Mulawarman (Indonesia). This issue highlights rapid developments in artificial intelligence applications for healthcare diagnostics and intelligent image-processing systems.

The published works explore a range of state-of-the-art deep learning architectures, including DenseNet121, MobileNetV2, VGG16, and VGG-19, applied to critical medical classification tasks. These include lung disease detection from chest X-ray images, automated cataract classification, cataract maturity assessment, and tuberculosis and pneumonia identification using CNN-based models. Further contributions propose lightweight MobileNet frameworks optimized for enhanced computational efficiency, enabling real-time lung infection detection suitable for practical clinical environments.

This issue reflects a strong multidisciplinary integration of machine learning, biomedical engineering, computer vision, and applied information systems. It reinforces JSIKTI’s commitment to disseminating impactful, data-driven, and solution-oriented research that contributes to technological innovation, scientific collaboration, and advancements in both national and global healthcare technology ecosystems.

Published: 2025-12-31

DenseNet121 and Transfer Learning for Lung Disease Classification from Chest X-Ray Images

Putu Sugiartawan, Ni Wayan Wardani (Author)

100-113

DOI : https://doi.org/10.33173/jsikti.266

Abstract views: 7 , PDF downloads: 14

Cataract Classification in Eye Images Using MobileNetV2

I Putu Adi Pratama (Author)

114-125

DOI : https://doi.org/10.33173/jsikti.268

Abstract views: 12 , PDF downloads: 8

Cataract Maturity Classification Using the VGG16 Deep Learning Model

I Wayan Kintara Anggara Putra, Ahmad Rifqi F (Author)

126-135

DOI : https://doi.org/10.33173/jsikti.267

Abstract views: 14 , PDF downloads: 13

Classification of Tuberculosis and Pneumonia Lung Diseases in X-Ray Images Using the CNN Method with VGG-19 Architecture

I Dewa Ayu Sri Murdhani, Heru Ismanto, Didit Suprihanto (Author)

136-149

DOI : https://doi.org/10.33173/jsikti.269

Abstract views: 9 , PDF downloads: 12

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