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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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Pandawa App: Student Guide Application after the Covid-19 Pandemic Rafdhi, Agis Abhi; Bachtiar, Adam Mukharil; Hayati, Euis Neni; Mega, Raiswati Untsa
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 2 (2023): INJIISCOM: VOLUME 4, ISSUE 2, DECEMBER 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v4i2.13895

Abstract

The purpose of this research is to design a mobile-based application that functions as a pre-lecture socialization platform so that the post-Covid-19 transition period can be maintained and carried out well. The research method used in this research is descriptive analysis with a qualitative approach. We used an object-oriented approach with the System Development Life Cycle Prototyping in the application development process. The results show that the Pandawa application development can provide lecture guidance properly using a digital platform that can be accessed via smartphone. The main concept of this application is to contain procedures or guidelines for implementing face-to-face lectures during the transition period from the Covid-19 pandemic in the New Normal era. In addition, this application also has a feature integrated with the local government for reporting if there are residents who test positive for Covid-19. Therefore, it can be followed up directly and quickly. In the end, this application is present as an information medium to adapt new habits in the world of education, especially at the tertiary level.
Project Management and File Management in Multimedia Applications Version of ActionScript 2.0 Hardiyana, Bella; Effendi, Diana
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 2 (2023): INJIISCOM: VOLUME 4, ISSUE 2, DECEMBER 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v4i2.13897

Abstract

Multimedia is a key focus within the Information Systems Study Program at Universitas Komputer Indonesia. With increasing student interest and certification from the National Professional Certification Agency, more students are producing quality multimedia theses. However, many lack understanding of theoretical principles such as project and file management, which this research aims to address for both academic and real-world applications. This research was conducted at PS-SI UNIKOM. The research data was taken from the collection of thesis students of the UNIKOM PS-SI even semester academic year 2019/2020. The focus of this research is using the Adobe Flash CS 6 version ActionScript 2.0 approach. This study expects students to understand multimedia scientific principles and implement them in a real thesis and multimedia project. Implementing project management and file management in the multimedia field will help developers develop multimedia application products effectively and efficiently.
Locus of Control as Determinants of Online - Dating Behaviour Among Graduates in Kwara – State Ibraheem, Islamiyyah Olajire; Esere, Mary O
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.v5i2.14029

Abstract

This study investigated locus of control as a determinant of online dating among university students in Kwara State. A descriptive survey design with a correlational approach was adopted. The study's respondents were 380 university students from four universities in Kwara State. Instruments for data collection were the Online Dating Behaviour Scale adapted from the Tinsel (2019) Survey and the locus of control scale adapted from Rotter (1966). Three null hypotheses were generated and tested at .05 alpha levels. Pearson Product Moment Correlation was used. Result showed a significant relationship between online dating and internal locus of control of university students in Kwara State (r. calculated = 0.41, df = 378 and p < 0.05); a significant relationship between online dating and powerful others locus of control of university students in Kwara State (r. calculated = -0.62, df = 378 and p < 0.05); a significant relationship between online dating and chance locus of control of university students in Kwara State (r. calculated = -0.26, df = 378 and p < 0.05). Recommendations based on the findings of the study were proffered.
Locus of Control as Determinants of Online - Dating Behaviour Among Graduates in Kwara – State Ibraheem Islamiyyah Olajire; Esere Mary Ogechi
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.12573

Abstract

This study investigated the influence of locus of control on online dating behaviors among university students in Kwara State. Employing a descriptive correlational survey design, data were collected from 380 students across four universities using adapted versions of the Online Dating Behaviour Scale and locus of control scale. Three null hypotheses were tested at a 0.05 significance level via Pearson Product-Moment Correlation. The findings demonstrated a significant positive correlation between online dating and an internal locus of control (r = 0.41, p < 0.05). Conversely, significant negative correlations emerged between online dating and both powerful others (r = -0.62) and chance (r = -0.26) loci of control. The study provides actionable recommendations based on these psychological determinants
Preventing Man in The Middle Attack on E-voting System Using Multi-layer Security Protocol Uzoma Sunday
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.12595

Abstract

The rapid expansion of the Internet has revolutionized e-voting, offering unparalleled convenience for voters. However, this growth introduces critical security vulnerabilities, particularly Man-in-the-Middle (MITM) and phishing attacks. To address these threats, this study presents a secure Android-based e-voting application developed using the Software Development Life Cycle (SDLC) methodology. The proposed system integrates a robust five-layer security protocol encompassing user authentication, fingerprint recognition, CAPTCHA, One-Time Password (OTP) verification, and cryptographic encryption. By mitigating MITM attacks, this multi-layered approach ensures secure, remote ballot casting. The outcome of this research is a reliable mobile platform that successfully safeguards voter privacy and election integrity against modern cyber threats
Enhancing Water Sustainability with AI methods: Analysis and Prediction of Seasonal Water Quality of Nepal Using Machine Learning Approach: Prediction of Seasonal Water Quality of Nepal Using Machine Learning Approach Biplov Paneru; Bishwash Paneru; Sanjog Chhetri Sapkota
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.13396

Abstract

Water quality monitoring is crucial globally, and particularly in Nepal, for ensuring safe drinking water and preventing waterborne illnesses. This study employs machine learning to analyze and forecast the seasonal Water Quality Index (WQI) of Nepalese well water. Hybrid models incorporating nested cross-validation were developed, evaluating algorithms such as CatBoost, Decision Trees, Logistic Regression, MLP-GRU, and LSTM-GRU. CatBoost achieved the highest classification accuracy (99.35%), while the LSTM-GRU hybrid excelled in capturing complex temporal patterns. Nested cross-validation demonstrated a robust 96.13% mean accuracy with low variance. Furthermore, SHAP analysis applied to a Support Vector Machine (SVM) model identified critical predictive factors. This research highlights the significant potential of machine learning in effectively managing and predicting water sustainability. 
AI-Based Chatbot System for Education and Recommendations on the Use of Native Papuan Herbal Plants using the Large Language Models method Suhardi Aras; Maya Nurliati Kelian; Ilham S; Alfiyyah Faridah
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.13575

Abstract

This study develops an AI-based chatbot to educate users and recommend native Papuan herbal plants, aiming to preserve traditional knowledge that is poorly documented in local communities. The methodology includes problem analysis, literature review, data collection, and system implementation using Google Generative AI (Gemini-Pro) as a Large Language Model (LLM). The system analyzes text queries to provide relevant answers. Evaluation using the BERTScore method showed good performance with an average Precision of 0.58, Recall of 0.67, and F1-Score of 0.62. The higher recall demonstrates the system's effectiveness in retrieving pertinent information. This research highlights the potential of AI to enhance public understanding of Papuan local wisdom and support traditional herbal medicine.
Improving Sentiment Classification using Ensemble Learning Sherwan A Abdullah; Mohammed I Salih; Omar M Ahmed
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.v6i2.13921

Abstract

This study proposes an ensemble learning approach to enhance sentiment classification accuracy on the IMDB movie reviews dataset. We combined three diverse models: Logistic Regression, Random Forest, and a Bidirectional Long Short-Term Memory (LSTM) neural network. Text data was vectorized using bigram term frequency, optimizing it for traditional classifiers, while the LSTM captured sequential dependencies via an embedding layer. By aggregating predictions through majority voting, the ensemble preserves the interpretability of traditional models while leveraging the deep learning capabilities of the neural network. Experimental results demonstrate that our proposed ensemble method achieves an accuracy of 89.2%, outperforming the individual models. This highlights the effectiveness of integrating traditional machine learning with deep learning for robust sentiment analysis. 
Security Service Monitoring Using Face Recognition, Near Field Communication and Geolocation Technology Eko Budi Setiawan; Rizky Milan Alpasya Wijaksono
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.13976

Abstract

Security service companies require daily monitoring to ensure designated checkpoints are effectively supervised. This research aims to facilitate management in summarizing field reports and enhancing personnel supervision. A system was developed using Golang, JavaScript, Kotlin, and PostgreSQL, featuring a web application for administrators and a mobile application for field officers. The system integrates face recognition, GPS, location-based services, and NFC readers. Testing results demonstrated that the application functions according to the established workflow. Notably, the fastest face recognition detection time was 1.22 seconds. Additionally, RFID tags were successfully detected at distances under 4 cm with an average time of 0.378 seconds, while geolocation consistently provided accurate tracking. 
Design and construction of a smart lock system using Internet of Things (IoT) Muhammed Abudu Aniru; Enoma Victor Osasenaga; Osamwonyi Efosa Emmanuel; Matthew Onyeka Gerald; Emede Oghenekome Melody
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i1.14127

Abstract

This study designs and constructs an Internet of Things (IoT)-based smart door lock system to enhance home security and accessibility. Traditional manual lock systems are often slow, insecure, and highly vulnerable to breaches. The proposed system integrates a NodeMCU ESP8266 microcontroller, a solenoid lock, a 12V DC battery, a 5V buck converter (LM7805), a Wi-Fi module, and relay switches to offer a robust protection mechanism. Testing involved three independent devices across ten trials. In all trials, the system accurately interpreted remote commands and transmitted signals to the relay module, successfully triggering the solenoid lock mechanism. This confirms the system's effectiveness in providing secure, keyless, and automated remote access control. 

Page 9 of 15 | Total Record : 146

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