JSIKTI: Journal of Information Systems and Applied Computer Technology Indonesia, Volume 4 Number 1 (September 2021) features applied information system research contributed by STMIK STIKOM Indonesia, Universitas Kristen Duta Wacana (UKDW) Yogyakarta, and Universitas Mulawarman. This issue presents studies focusing on financial information systems, predictive modeling, web development, and multi-criteria decision support techniques applied in various organizational and public service contexts.

The articles include the development of a financial information system for CV. Bali Indigo Computer, COVID-19 case prediction models using Sliding Window techniques and the Backpropagation Neural Network (BPNN) method, as well as a time-series analysis system for forecasting COVID-19 cases in Bali. Additional contributions feature the design of a web-based information platform for the Botanical Garden of the Gianyar Regency Communication and Informatics Office, and a decision support system for job promotion evaluation using the Fuzzy Profile Matching method.

This issue reflects the collaborative commitment of the contributing institutions to advancing data-driven solutions and digital innovation. Through predictive analytics, intelligent decision models, and practical information system development, the volume strengthens the role of applied computing in supporting public services, organizational management, and community information needs in Indonesia.