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Audit Sistem Informasi Portalsia Menggunakan Framework Cobit 5 Pada EDM05, APO04 dan BAI10 Anggraini, Esa Surya; Aprilsyah, Muhammad; Hasibuan , Inneke Nugroho; Asisura, Lili; Chairul Rizal
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 3 No. 2 (2024): September 2024
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v3i2.172

Abstract

COBIT 5 (Control Objectives for Information and Related Technology) is a framework that provides comprehensive guidance for the governance and management of information technology. This research aims to assess the effectiveness and efficiency of the PortalSIA information system at the North Sumatra State Islamic University using the COBIT 5 framework. In this audit, we used a qualitative descriptive analysis method which involved collecting data through interviews, questionnaires and documentation. The results of this audit were prepared based on the COBIT 5 domain, which includes evaluation, direction, monitoring (EDM), alignment, planning and organizing (APO) and development, acquisition and implementation (BAI). By implementing the recommendations from this audit, it is hoped that the North Sumatra State Islamic University can improve the performance and security of the PortalSIA information system, as well as achieve its strategic goals more effectively and efficiently. This research also emphasizes the importance of regular audits and the use of frameworks such as COBIT 5 in improving the quality of governance and information technology management in higher education institutions.
Sistem Informasi Prediksi Penjualan Bubuk Teh PT XYZ Menggunakan Metode ARIMA Sebagai Pendukung Pengambilan Keputusan Asisura, Lili; Samsudin, Samsudin
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9556

Abstract

Sales of tea powder experience significant fluctuations influenced by consumption trends, seasonal factors, and changes in market demand, which may lead to overstock and understock problems. These conditions highlight the need for an accurate and practical forecasting tool that can directly support managerial decision-making. This study aims to develop a web-based sales and revenue forecasting information system by integrating the Autoregressive Integrated Moving Average (ARIMA) method. The dataset consists of historical tea powder sales from May 2023 to March 2025, aggregated into monthly time series data. The research stages include data preprocessing, visualization, stationarity testing using the Augmented Dickey-Fuller (ADF) test, differencing, ARIMA model identification and parameter estimation, forecasting, and model evaluation using MAE, MSE, and MAPE. The evaluation results indicate that ARIMA(1,1,2) is the best-performing model, achieving an MAE of 4.07, an MSE of 3.15, and a MAPE of 147.34%. The forecasting results show fluctuating patterns in future sales and revenue. The main contribution of this research lies in the integration of the ARIMA forecasting model into a web-based information system that enables automatic and real-time prediction, providing practical support for inventory planning and data-driven managerial decision-making.