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INDONESIA
Sistemasi: Jurnal Sistem Informasi
Published by Universitas Islam Indragiri
ISSN : 23028149     EISSN : 25409719     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Sistemasi adalah nama terbitan jurnal ilmiah dalam bidang ilmu sains komputer program studi Sistem Informasi Universitas Islam Indragiri, Tembilahan Riau. Jurnal Sistemasi Terbit 3x setahun yaitu bulan Januari, Mei dan September,Focus dan Scope Umum dari Sistemasi yaitu Bidang Sistem Informasi, Teknologi Informasi,Computer Science,Rekayasa Perangkat Lunak,Teknik Informatika
Arjuna Subject : -
Articles 40 Documents
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Search results for , issue "Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi" : 40 Documents clear
Exploring Blockchain and AI in Digital Banking: A Literature Review on Transactions Enhancement, Fraud Detection, and Financial Inclusion Pramudito, Dendy; Na’am, Jufriadif; Ernawan, Ferda
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5231

Abstract

This paper explores the integration of Blockchain and Artificial Intelligence (AI) in the realm of digital banking, focusing on enhancing transaction efficiency, preventing fraud, and promoting financial inclusion. Utilizing a literature review methodology, this study synthesizes existing research to identify the synergistic effects of these two transformative technologies. Blockchain offers a decentralized, secure framework for transactions, while AI enhances data analysis and decision-making capabilities. The findings reveal that the combined application of Blockchain and AI can significantly streamline banking operations, reduce the incidence of fraud through advanced predictive analytics, and extend financial services to underserved populations. A comparison followed on case studies of successful digital banks that e taken advantage of AI and Blockchain technologies. In order to validate the results, industry experts and banking professionals were interviewed qualitatively to find out on the one hand where the opportunities lie and on the other where the challenges are when doing this implementation. Furthermore, the research highlights the challenges and limitations of implementing these technologies, including regulatory hurdles and the need for robust cybersecurity measures. By addressing these issues, financial institutions can leverage Blockchain and AI to create a more secure, efficient, and inclusive banking environment. This study not only fills a critical research gap but also provides practical recommendations for banking practitioners and policymakers. Ultimately, the integration of Blockchain and AI is poised to redefine digital banking, ensuring that technological advancements contribute to a more equitable financial landscape.
Web-based Inventory Information System using Agile Scrum Method at CV Tunggal Putra Jaya Widaningsih, Nona; Windiyanti, Noni; Rukhviyanti, Novi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5253

Abstract

CV Tunggal Putra Jaya is a building materials store that still manages inventory manually using Microsoft Excel. This approach leads to data inaccuracies, difficulties in real-time stock monitoring, and risks of overstocking or stock shortages. This research aims to design a web-based inventory system to address these issues, with key features such as real-time stock monitoring, order and pre-order creation, and automatic financial report generation. The system is developed using the Agile Scrum method with a sprint duration of 14 days to ensure flexibility to changes in requirements. The implementation results show an efficiency increase of up to 92.73%, marked by a reduction in invoice creation time from 5–10 minutes to 1 minute, stock monitoring from 30 minutes to 1 minute, and financial report generation from 10 minutes to 1 minute. The system has also successfully passed Black Box testing for all features, and user validation indicates that this system can significantly reduce working time.
Assessing Academic Information System Performance Through Sentiment Analysis Thuraya, Zafira; Ibrahim, Ali; Utama, Yadi; Indah, Dwi Rosa
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5130

Abstract

The Academic Information System (SIMAK) at Sriwijaya University plays a crucial role in facilitating student academic activities; however, it faces several technical issues that affect user satisfaction, including server outages and challenges in data access. This dissatisfaction serves as a vital metric for evaluating the system's effectiveness. This study aims to analyze student sentiment regarding SIMAK utilizing the Naïve Bayes method. A total of 92 tweets were gathered from Twitter through web scraping, which were then categorized into manually labeled training and test datasets for model validation. The data underwent processing that included text cleaning and the application of Term Frequency-Inverse Document Frequency (TF-IDF) to assess the significance of words within a collection of documents. The evaluation results indicated that the model achieved an accuracy of 65%, with a precision of 63% for negative sentiment and a recall of 100%. In contrast, positive sentiment exhibited a low precision of 12.5% and an F1-score of 22.2%, highlighting difficulties in identifying positive sentiment due to data imbalance. The model demonstrated greater effectiveness in identifying user grievances, particularly concerning server disruptions, data delays, and challenges in completing Study Plan Cards and accessing grades. These findings provide valuable insights for SIMAK maintainers to enhance system reliability and user experience. Future research should aim to broaden data coverage and explore alternative analytical methods to yield more representative outcomes.
Architectural Design of Referral Patient Data Security using Advanced Encryption Standard Romli, Moh. Ali; Zakariyah, Muhammad
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.4864

Abstract

Electronic medical record can manage various kinds of patient data in digital form. Patient data security is a priority that must be met by healthcare provider for referral process. One of the medical data exchange standards that is widely used is Health Level Seven (HL7) standard. The absence of security in the HL7 standard makes patient data vulnerable to digital attacks, information security disturbances, and can even disrupt the patient's own psyche. This study aims to create an architectural design as well as a prototype of a patient data security system that uses HL7 standard, by utilizing the Advanced Encryption Standard (AES) as a cryptographic algorithm. Architectural design for data exchange, can change HL7 data from plain text and unauthenticated data transmission to data with secure and protected protocols. The research method starts from requirements analysis and finished with making system prototypes and model evolution. The system that has been developed is deployed into a SaaS model on cloud computing. The SaaS architecture for securing patient referral data has been adapted to the stakeholders involved (users), the medical data exchange standard used (HL7 standard), workflow and data exchange processes, and the data security technique itself (AES).
Security of School Financial Transaction Applications with the Implementation of Two Factor Authentication Method Hardiansyah, Novi; Aulia, Rima; Hadriani, Angelina
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.4862

Abstract

Financial transactions over the internet often become targets of cyber attacks that can harm users in conducting transactions due to negligence from both the system and human error. This research will focus on the security level of the SIKOLAH financial application, where every school financial transaction will be conducted online. In this study, the Two Factor Authentication (2FA) method will be implemented, ensuring that each user has official access with data in the database registered in the application. The results of implementing this method have successfully validated user data through verified email and WhatsApp numbers to send OTP codes to the access holder's smartphone via the official WhatsApp channel of the application manager. Avoiding server phishing actions also limits the OTP code delivery time to no more than 300 seconds to send the OTP code to users, thereby reducing the risk of data interception by cybercrime.
Fake News Detection using the Random Forest Algorithm Setyadin, Rahmat Dipo; Winasis, Reza Handaru; Triyono, Gandung
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.4995

Abstract

Detecting fake news has become increasingly important in the digital era, where false information can spread rapidly and significantly influence public opinion. The dissemination of fake news can lead to public distrust in the media, economic losses, and even social conflict. This study aims to develop an effective fake news detection system using the Random Forest algorithm approach. The dataset used in this research was collected from the official Kominfo website and includes attributes such as title, description, author, date, category, page, news URL, and image URL. The text preprocessing process involves tokenization, stop word removal, text normalization, and feature extraction using Term Frequency and Inverse Document Frequency (TF-IDF) to generate numerical representations of the textual data. The Random Forest model was evaluated using accuracy, precision, recall, and F1-score metrics to assess its effectiveness in detecting fake news. The results show that the model performed exceptionally well, with k-fold cross-validation (k=5) yielding high average accuracy—Random Forest achieved an accuracy of 0.9890.
Design of an Archival Information System for LLDIKTI Region VIII using the Research and Development Method Pamungkas, Dionisius Adi Prabu; Rahardja, Yani
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5160

Abstract

The LLDIKTI Region VIII office is an institution responsible for facilitating and supervising higher education institutions in the Bali and Nusa Tenggara regions, particularly through the UK3 unit in managing archives. Currently, the archival management at the LLDIKTI Region VIII office relies solely on the centralized Electronic Official Document Information System (SINDE) provided by the government, without any local system to support independent backup and digitalization of records. This creates issues when there are disruptions in access to the central system or when more flexible, localized archive management is required. Therefore, there is a need for technology that enables local backup and the digitalization of physical documents into digital formats. This study adopts the Research and Development (R&D) method, emphasizing a balance between theory, design, and implementation based on user needs, existing problems, and user preferences. The result of this study is the design of a web-based User Interface (UI) and User Experience (UX) for the Digital Archive Center Information System of LLDIKTI Region VIII (PADI8). System usability testing was conducted using the System Usability Scale (SUS) method with five respondents, consisting of UK3 archival staff (3 women and 2 men). Data were collected through interviews and direct observation of system usage. The SUS scores were 83.7 from the admin perspective and 83 from the general user perspective. Based on the SUS interpretation criteria, the system falls into Grade A, with an adjective rating of “excellent” and an acceptability range of “acceptable,” indicating a high level of user satisfaction. This system is expected to improve the office’s efficiency, security, and autonomy in digital archive management and serve as an initial step toward sustainable digital transformation within the LLDIKTI Region VIII environment.
Sentiment Analysis of Rohingya Refugees in Aceh using Support Vector Machine (SVM) and Multinomial Logistic Regression Baliputra, Gigih Army Buana; Kacung, Slamet; Santoso, Budi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5159

Abstract

The rapid development of information technology affects the massive dissemination of information. Social media is one of them, and it contributes to communication and information technology. Information about Rohingya ethnic refugees in Aceh has spread widely on social media. This research aims to analyze public sentiment regarding ethnic Rohingya refugees in Aceh on X and YouTube, categorized into positive, neutral, and negative. This study aims to develop an application that uses the Support Vector Machine (SVM) and Multinomial Logistic Regression techniques to conduct sentiment analysis on public opinion with positive, neutral, and negative classifications regarding Rohingya refugees in Aceh. The 3683 comments collected through web crawling were categorized into positive, negative, and neutral sentiments. The analysis results show that 2112 data were classified as negative sentiments, 1400 as neutral sentiments, and 171 as positive sentiments. Based on the test results, the SVM and Multinomial Logistic Regression methods have similar accuracy of 83.18%. However the SVM method obtained 74.65% precision and 65.15% recall. Meanwhile, the Multinomial Logistic Regression method obtained 75.28% precision and 66.84% recall.
Usability Evaluation and Recommendations for the Notion Application to Enhance Student Productivity Matte, Karenina Cornelia Martines; Latuperissa, Rudy
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.4826

Abstract

This study was conducted to assess the usability level of the Notion application using the USE (Usefulness, Satisfaction, and Ease of Use) Questionnaire and the Cognitive Walkthrough method. These methods were selected due to their proven effectiveness in generating accurate and relevant data for usability evaluation. By employing both the USE Questionnaire and the Cognitive Walkthrough, this research provides development recommendations aimed at optimizing Notion’s ability to enhance student productivity. The sample was determined using Slovin's and Nielsen's formulas, involving 100 student users of the Notion application in Indonesia and 3 active IT students as evaluators. The research instrument utilized a questionnaire based on a 4-point Likert scale. The results indicate that Notion has a relatively high level of usability in supporting student productivity. However, the study identified several usability weaknesses, particularly in the variables of Ease of Use, Ease of Learning, as well as in Task Scenario 1, Task Scenario 3, and Task Scenario 6.
UI/UX Design of a Children's Playmate Community Website using the Goal-Directed Design Method Paramasatya, Amatya Keiko; Rudianto, Christ
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5224

Abstract

The TEBAK (Teman Bermain Anak) Community is a social organization focused on children's education through educational games. However, it currently lacks a centralized information platform that allows members and the public to easily access information about activities, programs, and community developments. The absence of an effective information medium hinders both the dissemination of information and broader community participation. This study aims to design a website interface that supports TEBAK’s efforts in information sharing and community engagement. The design process adopts the Goal-Directed Design (GDD) method, an approach in Human-Computer Interaction (HCI) that emphasizes user needs and goals. The design stages include research, modeling, requirements, refinement, and support. In the support phase, the System Usability Scale (SUS) was used to evaluate usability and user satisfaction. The testing results showed that the design received a score of 89.65 from community members and 88.55 from external stakeholders. These scores fall into the “Acceptable” category, with a Grade of “A” and an Adjective Rating of “Excellent.”

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