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JSIKTI: Journal of Information Systems and Applied Computer Technology Indonesia, Volume 6, Number 1 (September 2023) presents a diverse collection of research papers from Institut Bisnis dan Teknologi Indonesia (INSTIKI), Universitas Kristen Duta Wacana (UKDW), Politeknik Pertanian Negeri Samarinda, and Universitas Megarezky. This issue highlights the implementation of intelligent systems, decision support models, and digital transformation in various applied contexts.

The published articles discuss a range of topics, including the use of Simple Additive Weighting (SAW) and TOPSIS methods for tourism destination decision-making systems, the digitalization of cultural heritage through a 360-degree virtual reality platform, and the application of deep learning and machine learning algorithms—such as GRU and KNN—for hypertension risk prediction based on health and lifestyle data.

This edition underscores the journal’s dedication to advancing interdisciplinary research in applied computing and fostering collaboration between academic institutions in Indonesia and beyond. It reflects JSIKTI’s mission to bridge information technology innovations with real-world problem solving in tourism, health, and digital transformation.

Published: 2023-12-30

Implementation of the TOPSIS Method for a Decision Support System in Recommending Tourist Destinations in Tabanan

I Wayan Kintara Anggara Putra, Gde Yoga Agastyar Priatdana (Author)

460-469

DOI : https://doi.org/10.33173/jsikti.262

Abstract views: 86 , PDF downloads: 44

Digitalization of Bale Beleq in Pejanggik Village Based on a 360-Degree Virtual Reality Tour Website

Rezi Sandani, I Gede Orka Mahendra, I Gusti Ngurah Adi Widya Dharma (Author)

470-480

DOI : https://doi.org/10.33173/jsikti.263

Abstract views: 31 , PDF downloads: 56

Hypertension Risk Prediction Using GRU-Based Deep Learning Optimized with Stochastic Gradient Descent

I Dewa Ayu Sri Murdhani, I Gusti Ayu Agung Randhika Kerlania (Author)

481-494

DOI : https://doi.org/10.33173/jsikti.264

Abstract views: 44 , PDF downloads: 77

KNN-Based Prediction Model for Assessing Hypertension Risk from Lifestyle Features

Muslimin B, Heruzulkifli Rowa (Author)

495-505

DOI : https://doi.org/10.33173/jsikti.265

Abstract views: 47 , PDF downloads: 51