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Formosa Journal of Computer and Information Science
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 28303040     DOI : https://doi.org/10.55927/fjcis.v1i2.1151
Core Subject : Science,
Computer Science & IT
Formosa Journal of Computer and Information Science (FJCIS) is an international platform for scientists, academics, practitioners and engineers involved in all aspects of computer science and information sciences to publish high quality, up todate, peer review papers. It is an international research journal sponsored by Formosa Publisher. The journal provide a platform for survey, research and review articles from experts in the field, promoting insight and understanding of the state of the art, and trends in computer and information sciences. The contents include original research and innovative theory and applications from all parts of the world. The journal publish articles twice in a year (March and August).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 76 Documents
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Cyber-Resilience-Based Integrated Early Warning and Earthquake Response Information System Model: A Simulative Evaluation of Centralized and Distributed Configurations to Support Non-Military National Defenses Mohammad Rayhan Syahman; Bambang Suharjo; H.A. Danang Rimbawa
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.17101

Abstract

This research designs and validates an integrated early warning and earthquake response information system model that places cyber-resilience as a built-in architectural property. The method used is Design Science Research with the model operationalized into an agent-based simulation on NetLogo, using a 2×2 factorial design (centralized vs. distributed configuration; earthquake vs. earthquake scenario accompanied by cyberattack) as many as 200 Monte Carlo replications per cell and latency calibration from real data of 39 BMKG earthquake events (average 165.3 seconds; SD 29 seconds). The results show that interoperability is fully maintained (100%) on all conditions. In dual interference, distributed configurations detected faster (MTTD 34 vs. 41 ticks), recovered faster (MTTR 110 vs. 140 ticks), maintained 100% common operating picture delivery success (vs. 74.21%), maintained higher integrity (71.53% vs. 54.11%), and limited blast radius to 66.67% (vs. 100%), with the controlled consequence of lower aggregate availability (77.08% vs. 90.47%).
The Role of Perceived Data Security as a Moderation of the Influence of Algorithmic Marketing on Patient Trust Recovery (Case Study at the Main Clinic of Tekad Medical Center) Komang Arya Adiputra; Komang Agus Rudi Indra Laksmana; I Putu Parwata
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.17144

Abstract

Digital transformation in healthcare has accelerated the use of algorithmic marketing to strengthen patient communication, yet the intensive use of patient data also raises concern over data security that may affect trust recovery. This study examines the effect of Algorithmic Marketing on Trust Recovery and on Perceived Data Security, the effect of Perceived Data Security on Trust Recovery, and its moderating role between Algorithmic Marketing and Trust Recovery. Using a quantitative survey of 300 patients of Klinik Utama Tekad Medical Center selected through purposive sampling, data were analyzed with SEM-PLS (SmartPLS 4). Results show Algorithmic Marketing positively affects Trust Recovery (β = 0.661) and Perceived Data Security (β = 0.876), and Perceived Data Security positively affects Trust Recovery (β = 0.243), all significant.
Development of a Microcontroller-Based Power Monitoring System for Comparative Efficiency Analysis of LED, CFL, and Incandescent Lamps Barik Khamaluddin Nur; Miftahurrohman Miftahurrohman; Imam Saufik Suasana
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.17146

Abstract

This study developed and evaluated an Arduino Uno R3-based power-monitoring prototype using ACS712 and ZMPT101B sensors to compare 450-lumen LED, CFL, and incandescent lamps. Each lamp underwent ten trials, with twelve samples per trial. Sensor readings were validated against a digital multimeter. Mean apparent power was 5.28, 14.21, and 40.36 VA, while estimated active power was 5.23, 7.82, and 40.36 W, respectively. Mean voltage and current errors were 0.09% and 1.56%. The LED achieved the highest estimated luminous efficacy (86.0 lm/W) and the lowest annual energy cost. The prototype was reliable for educational comparison, although synchronized voltage-current sampling is required for direct active-power measurement of nonlinear loads.
Blockchain Technology in Accounting and Auditing: A Systematic Literature Review and Bibliometric Analysis Totok Dewayanto; Yuliati Yuliati
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.17267

Abstract

Blockchain technology has emerged as a transformative innovation in accounting and auditing, promising enhanced transparency, immutability, and decentralized verification of financial transactions. This study conducts a systematic literature review and bibliometric analysis of 258 articles published in Scopus-indexed journals from 2015 to 2024 to map the intellectual structure, research trends, and future directions in this domain. Using the PRISMA 2020 guidelines and PICOS framework, we identify four major research clusters: (1) blockchain-based accounting systems, (2) audit transformation through distributed ledger technology, (3) fraud detection and prevention mechanisms, and (4) regulatory and governance implications. Bibliometric analysis reveals a significant growth in publications since 2019, with Accounting, Auditing and Accountability Journal and International Journal of Digital Accounting Research leading the field. The knowledge graph construction identifies key intellectual themes including triple-entry accounting, smart contracts, and decentralized finance (DeFi).
Experimental Evaluation of Navigation Slam and Line Follower on Automated Guided Vehicles to Improve Industrial Operational Flexibility Rio Handoko; Ariep Jaenul; Brainvendra Widi Dionova
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.17278

Abstract

This study experimentally evaluated the performance of Simultaneous Localization and Mapping (SLAM) and line-follower navigation and examined the contribution of SLAM to AGV operational flexibility. Both navigation systems were tested on the same AGV platform under four scenarios: speed variation, obstacles, payload variation, and route reconfiguration. The evaluated parameters included endpoint position error, travel time, task completion, and route reconfiguration time. User perceptions were also evaluated involving 16 personnel with experience in AGV operation or observation. The results showed that the line follower was faster and more accurate under static conditions. At speeds of 0.188 and 0.377 m/s, its mean position errors were 1.06 and 2.25 cm, respectively, compared with 8.42 and 8.49 cm for SLAM.
Blockchain Integration in Accounting Curriculum for Enhanced Financial Fraud Detection: A Systematic Literature Review Totok Dewayanto
Formosa Journal of Computer and Information Science Vol. 4 No. 2 (2025): August 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i2.17279

Abstract

Digital transformation in accounting education necessitates blockchain technology integration into curricula to equip students with financial fraud detection capabilities. This study aims to conduct a systematic literature review on blockchain learning integration in accounting curricula and its impact on financial fraud detection capabilities. Methods: Deep Systematic Literature Review (Deep SLR) following PRISMA 2020 protocol. Literature search conducted on Scopus, Web of Science, and Google Scholar using structured Boolean Search Strings. Inclusion and exclusion criteria established based on PICOS protocol with quality assessment threshold (QA Score) >= 3.5/7.0. Results: From 2,392 initial records, 23-42 core articles met eligibility criteria. Bibliometric analysis identified three main thematic clusters: blockchain technical architecture, fraud detection and analytics, and education and behavioral aspects. Findings demonstrate that blockchain integration in accounting learning significantly enhances Fraud Risk Assessment and professional skepticism.

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