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Rizky Jumansyah
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INDONESIA
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Published by Universitas Komputer Indonesia
ISSN : 28100670     EISSN : 27755584     DOI : https://doi.org/10.34010/injiiscom
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
FOCUS AND SCOPE INJIISCOM cover all topics under the fields of Computer Engineering, Information system, and Informatics. Informatics and Information system IT Audit Software Engineering Big Data and Data Mining Internet Of Thing (IoT) Game Development IT Management Computer Network and Security Mobile Computing Security For Mobile Decision Support System Web and Cloud Computing Accounting Information system Electrical and Computer Engineering Sensors and Trandusers Signal, Image, Audio and Video processing Communication and Networking Robotic, Control and Automation Fuzzy and Neural System Artificial Intelligent
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 146 Documents
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An Autonomous AI-Vision Robotic System with Mecanum Wheels for Real-Time Object Sorting and Navigation Badri Mohapatra; Snehal Nalge; Tejas Sonale
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.15961

Abstract

This study presents an autonomous robotic system combining AI vision, a Mecanum wheel-based mobile platform, and a servo-driven robotic arm for real-time object sorting and navigation in dynamic environments. The system employs an Arduino-based control framework with multi-sensor fusion (ultrasonic, infrared, and Bluetooth) to achieve obstacle avoidance, line following, and voice-command responsiveness. A novel color-based object classification algorithm is implemented, achieving a sorting accuracy of 94.2% for standardized packages in experimental trials. The Mecanum wheels enable omnidirectional mobility, reducing navigation time by 38% compared to conventional differential drives in constrained spaces. Experimental results demonstrate the system’s efficacy in smart manufacturing and automated logistics, offering a flexible, low-cost framework for scalable robotics
Development of Kilowatt-Hour Consumption Monitoring System for a State University: Real-Time Tracking with Sub-Meter Angelo T. Aga; Jomer C. Basa; Tyrone Jr. M. Cailing; Jomar D. David; Adolfo E; Rimando VII; Charles Mendy D. Canonero; Andrei M. Viscayno
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.16508

Abstract

This study details the development of an Internet of Things (IoT)-based kilowatt-hour (kWh) consumption monitoring system for Don Honorio Ventura State University. Utilizing smart sub-metering technology, the system captures real-time, granular electrical data at the building level, significantly overcoming the limitations of conventional utility meters. The integrated web-based dashboard effectively visualizes usage trends, historical consumption, and peak demand periods. Field testing in selected campus buildings confirmed the system's overall reliability, usability, and performance. Ultimately, this real-time monitoring solution enhances energy visibility, promotes cost-reduction efforts, and fosters sustainable, energy-efficient practices aligned with the university's broader smart campus initiatives
Infrastructure as Code Development in Cloud Computing Using Terraform for The Ministry of PUPR Application Firmansyah Wicaksono; Angga Setiyadi
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 5 No. 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v5i2.17392

Abstract

Terraform, as one of the Infrastructure as Code (IaC) tools, simplifies consistent and efficient cloud resource development using HashiCorp Configuration Language (HCL), a declarative syntax where each code block defines the resources to be provisioned. This study aims to build Google Cloud Platform services using Terraform and develop a simple web application related to the Ministry of PUPR with CRUD (Create, Read, Update, Delete) functionality, tested and monitored using the DevOps software development method. Docker is utilized as a container platform to package applications, ensuring consistent management from development to production. Additionally, CI/CD (Continuous Integration / Continuous Delivery / Deployment) pipelines are integrated to automate development processes, accelerating application deployment alongside cloud services built with Terraform. The results show that combining Terraform, CI/CD pipelines, and Docker within the Google Cloud Platform ecosystem using DevOps increases efficiency, effectiveness, speed, and consistency in managing cloud infrastructure and application deployment processes
Temperature and Humidity measurement of Baby Incubator using PSOC CY8CKIT-062-WiFi-BT Navanath N Kumbhar; Shivprasad K. Tileka; Prashant V. Mane-Deshmukh
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.15758

Abstract

The present work deals with the development of a temperature and humidity monitoring system designed specifically for neonatal intensive care units (NICUs), which serve as dedicated spaces for premature or fragile newborns. These units aim to replicate the conditions of a mother's womb, essential for the survival and growth of vulnerable infants. Maintaining proper thermoregulation is critical, as failure to do so remains a significant, yet preventable, cause of mortality among neonates. For premature and delicate infants, consistent body temperature is vital for optimal development. This project focuses on monitoring and regulating the temperature and humidity levels within the NICU, as these factors play a key role in the well-being of preterm infants. The system utilizes a set of specialized sensors, with the collected analog signals processed through a Programmable System-on-Chip (PSoC 6) microcontroller architecture to ensure high-precision and efficient monitoring. 
The Role of Social Values and Ethics in Designing Privacy-Preserving Big Data Systems Irfan Rashid
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.16196

Abstract

The adoption of big data technologies globally and in Pakistan raises critical user privacy and ethical concerns. While technical advancements enable extensive data analysis, integrating social values into system design remains insufficiently addressed. This article examines the role of ethical frameworks—prioritizing autonomy, equity, and transparency—in developing robust data protection mechanisms. We analyze current privacy-preserving techniques, highlight underlying ethical gaps, and propose an integrated design approach that aligns technical solutions with social norms. Furthermore, visual analyses compare data protection frameworks and privacy violation trends within the digital landscape. Ultimately, we recommend that designers and policymakers embed these ethical values into system architectures to ensure sustainable, user-centric data protection.
The Impact of DevOps on Efficiency and Innovation  in Government Organizations Omer Alrwais; Lama AlEkresh
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 1 (2026): INJIISCOM: VOLUME 7, ISSUE 1, JUNE 2026 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i1.16227

Abstract

This study investigates how DevOps can enhance efficiency and foster innovation within public sector institutions. While widely adopted in the private sector to bridge software development and IT operations through collaboration and automation, DevOps remains underutilized in government frameworks. Focusing on Saudi Arabia's digital transformation under Vision 2030, this research utilizes surveys, interviews, and case studies to examine the core benefits and operational challenges of this methodology. The findings indicate that DevOps significantly accelerates service delivery and stimulates innovative public applications. However, cultural resistance and technical skill gaps present substantial barriers. The study concludes that structured training and strategic partnerships with private sector experts are essential for modernizing government services.
Development of an Offline Mobile Application for Enhanced Access to Electrical Standards Karl Tristan Beroy; Vince Carlos; Michael Angelo Dinio; Doc Alwin Dizon; John Luigi Flores; Errol M. Canlas
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.16515

Abstract

This study developed an offline mobile application providing categorized, searchable access to essential electrical standards, including the Philippine Electrical Code (PEC 1) and selected international guidelines (ICC, NEMA, NETA, NECA). Designed specifically for electrical engineering students and practitioners, the app ensures reliable offline access to crucial references. A developmental research design guided the prototype's creation, utilizing the Input-Process-Output (IPO) conceptual framework. Usability was evaluated through a questionnaire measuring perceived usefulness and ease of use among 30 licensed electrical engineers in Pampanga. Participants reported high satisfaction levels, particularly regarding the application's accessibility and user-friendly interface. Future iterations should incorporate additional technical standards to further enhance the platform's comprehensiveness.
Integration of Blockchain and Digital Forensics for Data Transparency and Verification : A Systematic Literature Review Sri Nurhayati; Diana Effendi; Anggun Fergina; Irawan Afrianto; Estiko Rijanto; Irfan Dwiguna Sumitra
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.18416

Abstract

Data integrity and transparency are increasingly critical concerns in the digital era. Various challenges in digital forensics arise from the growing prevalence of evidence manipulation and digital tampering, which can compromise the validity of legal investigations. This study conducts a systematic review of the potential application of blockchain technology as a solution for ensuring the authenticity and verification of digital data, employing the Systematic Literature Review (SLR) method guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A total of 156 relevant articles sourced from the Scopus database and published between 2018 and 2025 were selected and analyzed. The results reveal a significant increase in publications since 2020, with five main research clusters identified, including the integration of Artificial Intelligence (AI) and cybersecurity. Key findings confirm that blockchain effectively functions as a trust layer, creating an immutable and transparent chain of custody. This study concludes that blockchain integration provides a strong foundation for developing more accountable, secure, and reliable digital forensic systems
A SatuSehat Compliant FHIR R4 ECG Implementation Guide: Bridging Clinical and Informatics Domains in Indonesia Thomas Adhi Nugroho Chaidir; David Habsara Hareva
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.18628

Abstract

Indonesia’s SatuSehat mandates HL7 FHIR R4 interoperability, yet limited informatics capacity creates clinical-software translation gaps. This study develops and validates a SatuSehat-compliant electrocardiogram (ECG) data model and API contract via a FHIR Implementation Guide (IG). We mapped the HL7 aECG v1 standard to FHIR R4 using a six-phase normative workflow. From 312 aECG attributes, 17 defined the core exchange surface, fully supporting standard 12-lead ECGs. Although SNOMED CT only covered 13 of 32 lead types, missing specialized leads were addressed using provisional ValueSets. The resulting computable IG enables standardized, scalable ECG data exchange via FHIR REST and Bulk Data export, effectively bridging clinical requirements with technical implementation in resource-limited settings.
Deep Learning-Enhanced Comparative Analysis of ARIMA, Seasonal ARIMA, and Gated Recurrent Unit Models for Forecasting Car Sales Fariz Zakaria; Ema Utami
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 1 (2026): INJIISCOM: VOLUME 7, ISSUE 1, JUNE 2026 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i1.15511

Abstract

This study aims to assess and compare the performance of three forecasting models—Autoregressive Integrated Moving Average (ARIMA), Seasonal Autoregressive Integrated Moving Average (SARIMA), and Gated Recurrent Unit (GRU)—in predicting Toyota car sales in Indonesia. The dataset exhibits intricate seasonal patterns and non-linear fluctuations, posing significant challenges for conventional statistical approaches. The ARIMA model, typically suited for linear and stationary data, struggled to capture the complexities of these sales trends. Similarly, despite being designed to handle seasonal components, the SARIMA model failed to provide accurate predictions and demonstrated high error rates. In contrast, the deep learning-based GRU model exhibited superior predictive accuracy, achieving significantly lower values across all evaluation metrics: Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). Ultimately, the findings confirm that the GRU model outperforms traditional statistical methods, offering highly accurate and reliable forecasts to support complex business decision-making in the automotive industry.

Page 12 of 15 | Total Record : 146

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