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All Journal JUTECH : Journal Education and Technology Data : Journal of Information Systems and Management Digitus : Journal of Computer Science Applications
Setiawan, Adi Wahyu
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Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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The Strategic Role of AI in Enhancing MIS Performance and Innovation Setiawan, Adi Wahyu; Cahya, Waskita
Data : Journal of Information Systems and Management Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i4.723

Abstract

The integration of Artificial Intelligence (AI) into Management Information Systems (MIS) has reshaped organizational operations across sectors. This narrative review explores the multidimensional impact of AI on MIS by synthesizing findings from recent peer-reviewed literature. The study aimed to analyze how AI technologies enhance MIS functions, focusing on areas such as process automation, decision support, HR management, corporate learning systems, and export-oriented quality control. Literature was sourced from databases like Scopus and Google Scholar using Boolean search techniques with targeted keywords. Inclusion criteria emphasized relevance, recency, and methodological rigor. Findings indicate that AI and Robotic Process Automation (RPA) optimize operational efficiency, while AI-enhanced decision-making tools offer strategic foresight across industries. In HRMIS, AI facilitates recruitment, performance appraisal, and diversity outcomes, whereas AI-driven learning platforms improve training efficiency and employee engagement. The implementation of AI in quality control and export readiness is linked to higher compliance, predictive analytics, and competitiveness. However, challenges such as algorithmic bias, data inconsistencies, and limited transparency underscore the need for systemic readiness. Theoretical frameworks including the TOE model and RBV elucidate how internal capabilities and environmental contexts shape AI integration. The study concludes that national policies, ethical design, infrastructure development, and cross-sector collaboration are essential for maximizing AI’s potential in MIS, paving the way for responsible and inclusive digital transformation.
Blockchain and IoT Integration for Secure Healthcare Data Management: A Narrative Review Setiawan, Adi Wahyu
Digitus : Journal of Computer Science Applications Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i1.855

Abstract

The convergence of blockchain and Internet of Things (IoT) technologies has the potential to revolutionize secure data management in healthcare systems. This narrative review investigates how this integration addresses critical issues such as data privacy, interoperability, energy efficiency, and systemic barriers in healthcare. Literature was gathered from databases including Scopus, Web of Science, and Google Scholar, using keyword combinations such as "Blockchain AND IoT AND Healthcare" and "Cybersecurity AND IoT AND Data Privacy". Studies published between 2018 and 2024 were included based on clear methodological standards and relevance to healthcare applications. The review reveals that blockchain significantly enhances the security, transparency, and accessibility of personal health data while enabling efficient remote monitoring through IoT integration. It also highlights that smart contracts and AI-augmented systems optimize operations, reduce delays, and lower costs. However, challenges such as poor infrastructure, low digital literacy, and fragmented regulations impede widespread adoption. Notably, the impact of these factors varies across developed and developing countries. These findings suggest that policy reforms, increased investment in infrastructure, and public education are vital to advancing technological uptake. The study concludes that blockchain-IoT systems represent a strategic innovation in healthcare but require holistic, cross-sector collaboration to realize their transformative potential.
PERANCANGAN APLIKASI MOBILE KALKULASI DRILL ASSEMBLY OFFSET (DAO) PENGEBORAN SUMUR MINYAK BERBASIS ANDROID Ratuwulan, Anjelis; Yamin, Muhammad Ikrar; Saromah, Saromah; Setiawan, Adi Wahyu; Mahfuzan, Muhammad Saqfan
JUTECH : Journal Education and Technology Vol 5, No 2 (2024): JUTECH DESEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v5i2.4167

Abstract

The advancement of mobile technology has significantly contributed to various industries, including the oil and gas industry. In this context, mobile applications have become extremely useful tools for facilitating the planning and execution of oil well drilling operations. This study explores the design and implementation of a Mobile Application for Drill Assembly Offset Calculation based on Android. This application aims to provide an easy-to-use and efficient solution for engineers and technicians involved in oil well drilling. The main features of this application include offset calculations to align drilling equipment with the targeted well, accurate calculations to minimize risks and enhance operational efficiency, and intuitive data visualization. Through the integration of mobile technology, users can quickly access and utilize this tool in the field, reducing dependence on specialized hardware and increasing flexibility. Thus, it is hoped that this application can improve the effectiveness, efficiency, and safety of oil well drilling operations, and contribute positively to overall industry productivity.
Co-Authors cahya, waskita Mahfuzan, Muhammad Saqfan Ratuwulan, Anjelis Saromah, Saromah Yamin, Muhammad Ikrar