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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 51 Documents
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Qualitative Descriptive Study of Virtual Personal Branding on Tiktok Social Media Account @Vmuliana Ali, M Farrel Maolana; Santoso, Didik Haryadi; Nuryana, Arief
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.13420

Abstract

Tiktok is a social media platform that uses video features that can use background sound with a duration of approximately 15 seconds -3 minutes. Tiktok has another function, namely being able to build a virtual personal brand. A content creator and employee of the State-Owned Enterprises Agency (BUMN), namely Vina Muliana, is quite famous among the Indonesian people in distributing content packaged in a unique and fun way on the Tiktok account @vmuliana. This study aims to find out how Vina Muliana's Virtual Personal Branding is on her TikTok. Problems with the study The focus is on virtual personal branding and in her research, the theory of the four concepts of Authentic Building Success Personal Branding by Hubert K. Rampersad is used as a reference. Data was collected through interviews and video documentation uploaded to the Tiktok account @vmuliana using a qualitative approach. This study concludes that the virtual personal branding carried out by Vina Muliana @vmuliana fulfills the four concepts of personal branding that have been elaborated using virtual reality references, namely Virtual Authenticity, Virtual Consistency, Virtual Specialization, and Virtual Persistence
Design and Implementation of IoT-Based Smart Home System with ESP8266 for Energy Efficiency Pancane, I Wayan Dikse; Hermawan, Yudi; Kumara, I Nyoman Indra
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.14084

Abstract

The development of technology for the Internet of Things (IoT) is increasingly sophisticated, enabling humans to control devices with greater ease. This prototype is designed to contribute to the community, particularly in households, by providing convenience and comfort through home automation. The prototype incorporates several features, including the ability to turn lights on and off via a 5V relay. The doors and garages are equipped with MG90S micro servos, facilitating the opening and closing of these structures. The gate is operated by a DC motor, while the clothesline roof cover is designed to automatically adjust based on the external light conditions, opening and closing in response to changes in brightness. The operation of these systems is managed through the Blink application, which utilizes an Android mobile phone as the control interface
Development of an IoT-Based Ship Engine Performance Monitoring System to Enhance Operational Efficiency Sutrisno, Imam; Umasangadji, Fahmi; Ardiansyah; Almuzani, Nafi; Bashori, Achmad; Mudjiono, Urip; Priyonggo, Projek; Purwanti, Endang Pudji
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.14134

Abstract

This research aims to develop an IoT-based ship engine performance monitoring system to enhance operational efficiency in marine vessels. The study introduces a real-time monitoring prototype integrating sensors, microcontrollers, and cloud-based data visualization. The variables observed include engine temperature, RPM, and fuel consumption. The methodology follows a design and implementation approach, tested on a diesel-powered training ship over a two-week observation period. Data were collected continuously and analyzed to detect performance anomalies and efficiency trends. Results show that the system improves situational awareness and enables proactive maintenance decisions. The developed system has implications for reducing fuel costs, extending engine life, and supporting digital transformation in marine engineering operations
Enhancing Aquaculture Efficiency through IoT-Based Monitoring of Solar PV Systems Handoko, Catur Rakhmad; Sutrisno, Imam; Sidi, Pranowo; Ardiansyah
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.14139

Abstract

This research presents the design and implementation of an IoT-based monitoring system for solar photovoltaic (PV) performance in shrimp aquaculture ponds. The system aims to optimize the use of solar energy for powering critical operations such as water pumps and aerators in off-grid environments. It integrates sensors, a microcontroller, and cloud-based data visualization to track parameters including panel voltage, current, temperature, and power output. A prototype was deployed in a shrimp farm over a two-week period, with continuous data logging and real-time monitoring. The results indicate improved energy management and system reliability, supporting operational efficiency and sustainability in aquaculture. This study contributes to smart aquaculture practices by introducing a scalable and low-cost renewable energy monitoring solution
Implementation Devops Methods in Developing Church Asset Management Information Systems: A Software Engineering Approach for Efficiency and Quality Manjaruni, Maryo Indra; Leunupun, Pieter; Tamtelahitu, Trientje Marlein; Nivaan, Goldy Valendria; Manaha, Roberth Ricky Y.
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.v4i2.15391

Abstract

This research explores the use of the DevOps Method in developing a Church Asset Management Information System with a focus on efficiency and quality, taking into account the WebQual dimensions. DevOps methods are applied to improve software development, integration and management processes in order to achieve operational efficiency and improve software quality. The implementation of DevOps brings significant changes in the development life cycle, resulting in improvements in development cycle times and a decrease in software errors. Continuous Integration (CI) and Continuous Deployment (CD) practices are used to ensure fast and stable system updates. In addition, this research measures software quality by considering WebQual dimensions, such as sustainability, reliability, responsiveness, and security. Through analysis of test results and data collection, this research presents evidence that the application of DevOps methods not only increases development efficiency but also has a positive impact on software quality. These results are proven by improvements in user satisfaction, stakeholder engagement, and church meeting needs in their asset management
IoT-Based Cigarette Smoke Monitoring System Using MQ135 Gas Sensor Fitria, Fitria; Khalid, Anhar; Iryanie, Emy; Heldalina, Heldalina
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.v4i2.15751

Abstract

This study develops an Internet of Things (IoT)-based monitoring system to detect cigarette smoke using the MQ135 gas sensor. Cigarette smoke is a major contributor to indoor air pollution and contains harmful chemical compounds that pose health risks to both active and passive smokers. The system integrates the MQ135 sensor with the NodeMCU ESP8266 microcontroller to collect air quality data and transmit it to an IoT platform for real-time monitoring. Testing results show that the MQ135 sensor responds quickly to changes in air quality, with PPM values increasing significantly when exposed to cigarette smoke compared to normal conditions. Data are displayed through a cloud-based dashboard and notification alerts are sent when pollutant levels exceed a predefined threshold. The findings indicate that the proposed system operates reliably and effectively, making it suitable for indoor environments to support smoke-free areas and improve air quality monitoring practices.
Comparative Study of Machine Learning Models for Sentiment Analysis of Amazon Product Reviews Noviantoro, Tri; Suryaneta, Suryaneta
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16389

Abstract

This research presents a comparative analysis of four popular sentiment classification models: Naive Bayes, Support Vector Machine (SVM), Long Short-Term Memory (LSTM) networks, and Bidirectional Encoder Representations from Transformers (BERT). The models are evaluated using the Amazon Product Reviews dataset based on their ability to classify sentiments into positive or negative categories. The results show that BERT outperforms the other models in accuracy, precision, recall, and F1-score, demonstrating its superior ability to capture complex contextual relationships in text. LSTM performed well, particularly in recalling positive sentiments, but was outperformed by BERT overall. Conversely, Naive Bayes and SVM exhibited lower accuracy and higher false positive rates, highlighting their limitations in handling nuanced, context-dependent text. This study emphasizes the trade-offs between traditional machine learning models and advanced deep learning techniques.
The Application of Naive Bayes in Analyzing Public Sentiment Toward the Performance of the North Sumatra Regional Government in Handling Flash Floods Siburian, Rivaldo; Tampubolon, Rikki Josua; Surbakti, Valentino; Haris, M. Irvandy; Rahmansyah, Rizky
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16417

Abstract

This study analyzes public sentiment towards the performance of the North Sumatra Regional Government in handling flash floods using the Multinomial Naive Bayes algorithm. A total of 1,132 opinion data points were collected from social media and news portals through web crawling from November 2025 to February 2026. Sentiment labeling was performed using a lexicon-based approach with the InSet dictionary. Classification results showed a dominance of negative sentiment at 88.4%, focusing on slow emergency response. Model evaluation with an 80:20 data split yielded 89.43% accuracy and an F1-Score of 0.844 for Naive Bayes, while SVM achieved the highest F1-Score (0.855). This study concludes that AI-based sentiment analysis can serve as an objective instrument for government performance auditing.
Effects of Scratch Gamification with MDA on Students’ Engagement and Learning Outcomes Sembiring, Agustinus; Jusuf, Heni; Santoso, Handri
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16434

Abstract

This study aims to examine the effect of Scratch-based gamification using the MDA (Mechanics–Dynamics–Aesthetics) model on students’ engagement and learning outcomes in primary education. A quasi-experimental method with a pretest–posttest design was applied to 115 students. Data were collected through tests and questionnaires and analyzed using paired sample t-tests and descriptive analysis. The results showed a significant improvement in learning outcomes, with a mean pretest score of 56.84 and posttest score of 71.03 (t = -26.57; p < 0.001). In addition, students’ engagement was categorized as high (mean = 3.73). These findings indicate that Scratch-based gamification integrated with the MDA model is effective in improving learning quality.
Microservices-Based Open-Source Video Conference Deployment for Optimized Online Learning Infrastructure Ananda, Davy Putra; Wicassono, Muhammad Fadhil Ramadhan; Diva, Farhah Safrila; Rasyid, Abdullah; Trahira, Juwita Istiqomah; Rosmawarni, Neny
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16470

Abstract

The rapid advancement of information technology has fundamentally shifted the interaction paradigm in education from conventional methods to hybrid learning models. In this context, the availability of stable, real-time communication platforms has become crucial for maintaining the effectiveness of knowledge transfer. This study evaluates the implementation of Apache OpenMeetings v9.0.0 using Docker and WSL2 to provide efficient video conferencing. Using an experimental methodology, system performance was monitored during active sessions. Results show high resource efficiency with a stable CPU utilization of 4.94% and memory usage of 1.339 GiB. The system achieved a rapid startup velocity of 11.1 seconds, proving that containerization offers optimal isolation with minimal overhead. The study concludes that this architecture provides a lightweight, portable, and cost-effective solution for independent communication infrastructure in educational institutions.

Page 5 of 6 | Total Record : 51

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