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International Journal of Computer and Information System (IJCIS)
Published by Institut Teknologi Bisnis AAS Indonesia
ISSN : -     EISSN : 27459659     DOI : https://doi.org/10.29040/ijcis
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering
The aim of this journal is to publish quality articles dedicated to all aspects of the latest outstanding developments in the field of informatics engineering. Its scope encompasses the applications of (but are not limited to) : 1. Artificial Intelligence 2. Software Engineering 3. System Design Methodology 4. Data mining and Big Data 5. Human and Computer Interaction 6. Mobile Computing 7. Soft Computing 8. Animation 9. Multimedia and Image Processing 10. Parallel/Distributed Computing 11. Machine Learning 12. Computational Lingustics 13. Data Comunication 14. Networking
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 188 Documents
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Evaluating Machine Learning Algorithms for Detecting Online Text-based Fake News Content Nugroho, Deni Kurnianto; Fauzy, Marwan Noor; Hidayat, Kardilah Rohmat
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.253

Abstract

The rapid spread of disinformation and fabricated news across online platforms poses a critical risk to informed public engagement and the foundations of democratic governance. This study examines how well different machine learning techniques can classify fake news, using textual features extracted through the Term Frequency–Inverse Document Frequency (TF-IDF) method. The analysis includes five commonly used algorithms like Logistic Regression, Support Vector Machine (SVM), Naive Bayes, Random Forest, and XGBoost. A publicly accessible dataset containing annotated real and fake news articles served as the basis for training and testing these models. Dataset underwent extensive preprocessing, including tokenization, stopword removal, and TF-IDF vectorization, resulting in a sparse high-dimensional matrix of 5068 documents and 39,978 features. Performance evaluation was based on multiple metrics: train/test accuracy, misclassification rate, false positives/negatives, cross-validation mean score, and execution time. Results showed that SVM and Logistic Regression achieved the highest test accuracy (93.61% and 92.27%, respectively) and exhibited robust cross-validation scores, indicating strong generalization ability. In contrast, Naive Bayes produced faster results but suffered from a high false positive rate and lower accuracy (84.77%). Random Forest and XGBoost demonstrated good predictive power but showed signs of overfitting and moderate misclassification rates. These findings suggest that SVM and Logistic Regression are well-suited for fake news detection in textual datasets using TF-IDF features. While traditional models remain effective, future work may explore deep learning approaches and context-aware language models to enhance detection accuracy across more complex and multilingual datasets. This study contributes to the ongoing efforts to combat misinformation through automated, scalable, and interpretable machine learning techniques.
Design of a Web-Mobile Based Information System for Monitoring Maintenance and Repair Reports of Electrical Substations Leni, Leni; Wibowo, Adi
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.256

Abstract

The manual workflow for reporting maintenance and repair of electrical substations at PT Haleyora Power, which relies on WhatsApp and Microsoft Excel, creates various obstacles, such as delays, risk of data errors, and a minimal capacity for real-time monitoring. This research aims to design and implement a web-based monitoring information system to overcome these inefficiencies. The development method used is Prototyping, which emphasizes active user involvement through an iterative evaluation cycle. The system was built using PHP-MySQL and comprehensively tested based on five quality aspects from the ISO/IEC 25010 standard: functional suitability, reliability, usability, performance efficiency, and security. The research results show the system was successfully built and passed all tests, achieving 100% in functional suitability, high reliability with no data loss, and a usability score of 86%, which is categorized as 'very feasible' by users. The implemented system successfully transformed the manual reporting process into a centralized digital workflow, significantly improving efficiency, data accuracy, and providing real-time monitoring capabilities for management.
Development of an Intelligent Chatbot with Voice Recognition Features to Assist Users in Analyzing PDF Documents at Politeknik Indonusa Surakarta Wijaya, Rakyan Duta; Iskandar, Dwi; Putri, Frestiany Regina
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.246

Abstract

This study aims to design an intelligent chatbot system integrated with voice recognition features to assist users in efficiently and interactively analyzing the content of PDF documents. The background of this system development stems from the difficulties many users face in understanding and extracting information from complex and lengthy digital documents. Adopting a Research and Development (R&D) approach based on the ADDIE model, this study develops a system prototype that allows users to issue commands via voice or text, and then receive responses in the form of summaries, specific answers, or information retrieval from PDF files. Although still in the design stage, this study has identified key components such as the voice recognition module, natural language processing (NLP), and PDF parser. The system evaluation plan involves testing accuracy, response relevance, and user comfort through limited simulations. Planning results indicate that the system holds significant potential in supporting educational, research, and administrative activities, although it still faces technical challenges such as voice accent variations and complex document structures. With further development that considers efficiency and sustainability, this system is expected to become a smart solution for digital document management.
Analysis Of The Design Of The Inpatient Medical Record Completeness Audit Application At Prof. Dr. Margono Soekarjo Purwokerto Regional Hospital Meganingtyas, Elisabeth Yuga Nova; Wulandari, Sri
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.250

Abstract

The completeness of inpatient medical records plays a vital role in ensuring the quality of healthcare services and compliance with hospital accreditation standards. This study aims to design an inpatient medical record audit application that addresses existing inefficiencies in manual audit processes at RSUD Prof. Dr. Margono Soekarjo Purwokerto. The research was conducted using the System Development Life Cycle (SDLC) with a waterfall model approach, consisting of needs analysis, system design, coding, and testing. Data collection involved observation and interviews with inpatient coding staff, which revealed several issues in the current Google Spreadsheet-based audit system, including inflexible checklists, high risk of data loss, poor synchronization, and duplicate entries. The proposed web-based application offers functional features such as multi-user login, patient data upload, dynamic checklists, open and close audit forms, and graphical audit reports. Non-functional requirements emphasize security, accessibility, simplicity, and responsiveness. User requirements focus on ease of navigation, printable reports, and support for daily work routines. The system was implemented using JavaScript and tested through black-box testing, which confirmed all functionalities performed as expected. User satisfaction was evaluated through a questionnaire distributed in the medical records department with 13 respondents, 1 department head and 12 coders, the results showed an overall satisfaction level of 92.59%. This application improves audit efficiency, reduces input errors, and supports hospital efforts to meet accreditation indicators. The findings suggest that a well-designed information system can significantly enhance the management and monitoring of medical record completeness.
Smart Chatbot Design to Support PDF Document Analysis at Politeknik Indonusa Surakarta Hanindya, Ian; Iskandar, Dwi; Putri, Frestiany Regina
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.247

Abstract

The increasing volume of academic documents in PDF format presents challenges for students, lecturers, and academic staff in quickly accessing specific information. This study proposes the design and development of an intelligent chatbot system that facilitates semantic analysis of academic PDF documents at Politeknik Indonusa Surakarta. The system integrates Natural Language Processing (NLP) techniques and a Large Language Model (LLM), specifically GPT-4, using the Langchain framework to interpret user queries and deliver context-aware responses. The Research and Development (R&D) methodology was applied using a 4D model: Define, Design, Develop, and Disseminate. A prototype was developed with capabilities such as extracting content, summarizing sections, and answering user queries based on uploaded academic PDFs. Functional and usability testing were conducted using real academic documents. The results indicate high response accuracy (90%) and strong user satisfaction (score: 4.5/5), validating the system’s performance. The chatbot demonstrated its ability to support academic services by improving access to unstructured knowledge and streamlining information retrieval. Despite its potential, the system also faces challenges including PDF structure variations, dependency on third-party APIs, and the need for data privacy safeguards. This research provides a foundation for future implementations of AI-powered educational tools, suggesting further development such as multilingual support, voice interaction, and institutional integration.
Comparative Sentiment Analysis on News Coverage of AI Risks and Regulation using Rule-based and Transformer-based Models Fauzy, Marwan Noor; Nugroho, Deni Kurnianto; Hidayat, Kardilah Rohmat
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.251

Abstract

Rapid development of artificial intelligence technology has raised concerns regarding ethical risks, governance, and the need for adequate regulation. This study aims to analyze the dynamics of public opinion through media coverage of AI risks and regulation. Data were obtained from five major international media outlets (Reuters, Bloomberg, The Guardian, CNBC, and The New York Times) between 2022 and 2025. The analysis process was carried out in several stages: news article extraction, text cleaning, sentiment classification, and trend and distribution visualization. Two approaches were used for sentiment analysis: a rule-based lexical model (VADER) and a contextual transformer model (Multilingual BERT from nlptown). Classification results show that VADER tends to assign neutral labels, while BERT is more sensitive to positive or negative nuances. Correlations between models indicate general trends, but differences emerge during specific periods—particularly during periods of intense coverage of AI policy formulation or ethical incidents. Temporal visualizations show spikes in negative sentiment during the enactment of AI regulations in several countries. This study concludes that the multi-model approach is capable of capturing a broader spectrum of sentiment. Limitations include limited media coverage, potential data bias, and the model's limited ability to understand domain-specific contexts. Recommendations for further study include expanding data sources, using models specifically trained in the AI policy domain, and integrating with entity analysis to uncover dominant actors in public discourse.
Designing an E-Commerce Website to Increase the Purchasing Power of MSMEs Sumadi, Sumadi; Muqorobin, Muqorobin; Fitria, Tira Nur
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.248

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are the backbone of local economies and contribute significantly to national development. However, many MSMEs face challenges in adapting to digital market trends, limiting their ability to attract consumers and increase purchasing power. This research aims to design an e-commerce website tailored to the needs of MSMEs to help them reach wider markets and enhance customer buying interest. The study employs a Research and Development (R&D) approach using User-Centered Design (UCD) methodology to ensure that the website aligns with user preferences and business requirements. Data were collected through interviews and questionnaires with MSME owners and potential customers. The proposed system includes features such as product catalogs, shopping carts, secure payment options, and mobile responsiveness. Usability testing was conducted using the System Usability Scale (SUS) to evaluate user experience. The results indicate that the designed e-commerce platform can improve customer accessibility, trust, and transaction ease, thereby contributing to increased consumer purchasing behavior. This research provides valuable insights for the digital transformation of MSMEs through practical and user-friendly web solutions.
Modeling a Decision Support System for Selection of Natural Stone Suppliers Using the Moora Algorithm Muqorobin, Muqorobin; Efendi, Tino Feri
International Journal of Computer and Information System (IJCIS) Vol 4, No 4 (2023): IJCIS : Vol 4 - Issue 4 - 2023
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v4i4.156

Abstract

Abstract—At SMK Negeri 1 Kismantoro, before this system was used, they only used manual methods or subjective, meaning the teacher still chooses students directly. The selection of outstanding students must be thorough used as a reference for the following year to ensure increased academic success. This competition was held Every year SMK Negeri 1 Kismantoro sends a team every year to advance in this competition. System Decision support can be made using several methods, one of which is the Moora method and Gain Ratio. This support system can assist in decision making in student selection achievement for the Kismantoro 1 State Vocational School competition. The operation of the Moore method consists of assigning weights on each criterion. The Increment Ratio method is used to find the criteria used in the Moora method that is, the highest value has 4 of the highest, that is, the card criteria is directly proportional to the gain of (0.44644), practice with a gain of (0.88129), attitude (personality) with a gain of (0.44644), skill with advantage (0.42836). The Moora method can select alternatives and rank them for make recommendations for the best students based on predetermined criteria which are Lutfiyatul Rosida's alternatives (A10) is the student who has the best performance with Yi-Max = 0.165.
Analysis of Readiness For Implementation of Electronic Medical Records Using DOQ-IT Method Widiyanto, Wahyu Wijaya; Sulistyati, Hanifah Shobri; Zahroh, Salsabila Ummu
International Journal of Computer and Information System (IJCIS) Vol 4, No 4 (2023): IJCIS : Vol 4 - Issue 4 - 2023
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v4i4.146

Abstract

This study addresses the challenge of managing medical records in Indonesia’s health sector, particularly focusing on the transition to electronic medical records (RME) as mandated by PMK No. 24 of 2022. The primary objective is to assess the readiness for implementing Electronic Medical Records (EMR) at the Milla Husada Clinic using the DOQ-IT (Doctor’s Office Quality-Information Technology) Approach. The research adopts a descriptive design with a quantitative approach, utilizing questionnaires to gather data from 40 clinic officers. Total sampling technique was employed for participant selection. Univariate analysis was used for data interpretation. The findings reveal a high level of readiness for RME implementation at the clinic, with a total readiness score of 117.74, placing it in range III, indicative of a very ready status. The readiness levels, in descending order of scores, were: organizational work culture (4.34), governance and leadership (4.26), IT infrastructure (4.23), and human resource readiness (3.80). Despite the overall readiness, the study identifies human resources as an area requiring further enhancement, specifically the need for specialized training in RME implementation. This research highlights the critical areas for improvement to ensure successful adoption of electronic medical records in the healthcare setting.
Implementation of IDS Using Snort with Barnyard2 Visualization for Network Monitoring in The Informatics Engineering Computer Lab at Muhammadiyah University Surakarta Muhammad, Baihaqi Fatah; Utomo, Ihsan Cahyo
International Journal of Computer and Information System (IJCIS) Vol 4, No 4 (2023): IJCIS : Vol 4 - Issue 4 - 2023
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v4i4.142

Abstract

The recent surge in cyberattacks should not be taken lightly, especially by large enterprises with sensitive data. Intrusion Detection Systems (IDS) are becoming a critical component for detecting network anomalies. One such network anomaly detection tool is SNORT, with a BASE (Basic Analysis and Security Engine) frontend for efficient data processing. Acting as a bridge between SNORT and BASE, the author uses barnyard2 as a backend to store logs obtained from SNORT into the database. The implementation methodology used in this research is an experimental approach, where the authors conduct experiments through trial and error to achieve the desired results. This IDS system was tested using two types of attacks, namely DDoS and SQL-Injection. The DDoS attack trial uses tools found in Kali Linux, namely Hping3 with 6 scenarios namely FIN, ACK, RST, UDP, SYN, and ICMP with the results detected in the snort database. SQL-Injection attack test using the DVWA vulnerable website with the result detected in the snort database when the attack is carried out. This proves that the accuracy level of the system reaches close to 100% with the rules given and the penetration testing given.

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