Jurnal Sistemasi (OJS FTIK - UNISI, Fakultas Teknik dan Ilmu Komputer Universitas Islam Indragiri)
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Design and Implementation of a Responsive E-Commerce Web Application for Teras Thrifting Store
Full text linkThe rapid advancement of information technology has significantly impacted various sectors, including the trade industry. E-commerce has emerged as an innovation that enables buying and selling transactions to take place online, without limitations of location or time. However, some businesses—such as Teras Trifting, a second-hand clothing store—still rely on conventional transaction methods, such as in-store purchases or orders via social media messages. These approaches tend to be inefficient and prone to errors in recording customer and sales data. To address these challenges, this study focuses on the design and implementation of a responsive e-commerce web application aimed at improving transaction efficiency and the management of product and customer data. The system development process adopts the Extreme Programming (XP) methodology to ensure flexibility and adaptability to user needs. The application was developed using PHP and Bootstrap, with particular emphasis on user experience, system performance, and data security. Evaluation results show that the system achieved the following scores: functional suitability at 97.2%, performance efficiency at 94.8%, and usability at 93.84%, all classified as “Excellent.” Overall, the system attained a 94.82% feasibility score based on ISO 25010 standards, and is categorized as “Excellent” according to the Likert scale. In conclusion, this responsive e-commerce web application is considered to contribute positively to the business sector by enhancing competitiveness and operational efficiency within the digital ecosystem
Design and Implementation of an ETL Pipeline for Prospective Student Data Analysis in Higher Education Admissions
Full text linkThe number of universities in Indonesia continues to grow. This condition certainly makes the flow of new student admissions increasingly competitive between universities, thus encouraging universities to do branding, show quality, and do the right positioning. Therefore, it is important for universities to adopt a data-driven approach that can provide in-depth insights into prospective students and the effectiveness of marketing strategies. The purpose of this study is to design and build an ETL (Extract, Transform, Load) pipeline to collect, process, and analyze prospective student data as part of the business intelligence (BI) system to be built. The proposed ETL architecture design supports automated microservices-based data transformation in data cleaning, normalization, and integration. In addition, it can also be used as a solution to increase the scalability and flexibility of data mobilization in the BI system. This study introduces a novel approach by designing an ETL pipeline within a business intelligence framework aimed at enhancing university marketing efforts. Unlike prior research, which has primarily applied business intelligence tools to evaluate academic activities within learning management systems, this work shifts the focus to marketing analytics. Additionally, while existing studies on higher education marketing often center around digital marketing techniques and the marketing mix, this research fills a gap by proposing a technical infrastructure that supports data-driven marketing through automated ETL processes. The resulting ETL was tested using several methods, namely Source to Target Count Testing, Source to Target Data Testing, Duplicate Data Check Testing, and Data Transformation Testing. The results of each test are vali
Design of an Archiving Information System using the Agile Scrum Method
Full text linkThis study aims to design and implement a web-based archiving information system at PT Sarana Tirta Ungaran using the Agile Scrum methodology. The background of this research lies in the challenges of manual archive management, which often lead to difficulties in document retrieval, risks of data loss, and inefficient use of storage space. By adopting the Agile approach, the system was developed iteratively through stages such as product backlog, sprint planning, and daily Scrum, allowing for dynamic adjustments to user requirements. The system incorporates four types of user roles—super admin, admin, director, and general administrative staff—with key features including login, archive management (CRUD), document search, and activity logs. The design process employed UML, covering use case diagrams, activity diagrams, and class diagrams. Testing results demonstrate that the system improves archiving efficiency, accelerates information access, and supports the digitalization process within the company. Therefore, this information system is expected to enhance overall organizational performance
Early Detection of Mental Health Disorders based on Sentiment using Stacking Method
Full text linkMental health disorders are a serious and growing global concern, including in Indonesia. This study aims to predict mental health disorders through sentiment analysis using the Stacking Classifier approach, which combines Random Forest, Gradient Boosting Classifier, and Logistic Regression algorithms. The dataset was sourced from various social media platforms, consisting of textual data classified into seven mental health categories, such as depression, anxiety, and personality disorders. The data underwent preprocessing steps, including cleaning, balancing, and dimensionality reduction using the TF-IDF algorithm. The study results indicate that the Stacking Classifier method achieved an accuracy of 95.66%, with a precision of 95.63%, recall of 95.66%, and F1-Score of 95.64%. These results outperform the individual algorithms tested in the research. The findings demonstrate the significant potential of sentiment analysis powered by machine learning for early detection of mental health disorders, making it a valuable tool to enhance diagnosis and intervention in mental health care more effectively
Usability Evaluation and Recommendations for the Notion Application to Enhance Student Productivity
Full text linkThis 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
Evaluating the User Experience of a Mobile Ticketing Application using the User Experience Questionnaire (UEQ)
Full text linkThe digitalization of the mobile ticketing sector in Indonesia has seen significant growth, with a projected 50% increase in mobile ticketing app usage by 2025. Popular applications such as Traveloka, Tiket.com, Agoda, and Booking.com dominate the market, yet they face several technical challenges, including navigation difficulties, unclear interfaces, performance bugs during peak hours, slow application response times, and limited features. This study employed the User Experience Questionnaire (UEQ) method and involved 578 respondents selected through purposive sampling. The criteria included active users of one of the mobile ticketing apps and individuals aged between 20 and 40 years. The results of the t-test revealed that Agoda needs to improve the perspicuity aspect by simplifying its dense user interface, particularly in accommodation and travel ticket searches. Regarding efficiency, Traveloka, Agoda, and Booking.com must enhance their search systems and address bugs/errors that disrupt performance during peak usage times. For stimulation, Traveloka should enhance user experience by providing a more dynamic and responsive layout when navigating pages or performing searches. In terms of novelty, both Agoda and Booking.com are advised to integrate local e-wallets such as GoPay, OVO, and DANA, as well as bank transfer options, since currently they only support credit card payments. These findings highlight the critical role of UX in improving user satisfaction and suggest that continuous user-centered development is essential for maintaining competitiveness in the mobile ticketing industry
Optimization of Ground Coffee Production Capacity using the Theory of Constraints at PT. XYZ
Full text linkPT XYZ is a company engaged in the ground coffee processing industry, producing both Arabica and Robusta coffee. The company faces a production capacity issue, as output does not meet the target due to imbalances between machine capacities and standard processing times. These bottlenecks result in work-in-progress accumulation at workstation 2 and 4, causing delays and unfulfilled orders. This study adopts the Theory of Constraints (TOC) approach, focusing on addressing constraints in the ground coffee production line. Rough-Cut Capacity Planning (RCCP) analysis identified the main constraints at workstation 2 (roasting) and workstation 4 (finishing). The recommended improvement involves adding two hours of overtime at both workstations from March 2024 to February 2025. This intervention led to a 7.42% increase in Arabica coffee production, from 7,815 kg to 8,395 kg, and a 19.69% increase in Robusta coffee production, from 6,533 kg to 7,819 kg. The improvement also resulted in a rise in company profit from IDR 1,115,060,000 to IDR 1,227,326,000, reflecting a 9.2% increase. These findings demonstrate that the proposed solution effectively optimizes production capacity and enhances company profitability
Exploring Blockchain and AI in Digital Banking: A Literature Review on Transactions Enhancement, Fraud Detection, and Financial Inclusion
Full text linkThis 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
Design of an Archival Information System for LLDIKTI Region VIII using the Research and Development Method
Full text linkThe 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
Analysis of User Satisfaction Level Of the Online Lecture Information System (Sikuli) using The EUCS Method at Universitas Muhammadiyah Riau
Full text linkThe effectiveness of an information system is a key determinant of user pleasure, specifically within digital gaining knowledge of platforms. This studies seeks to evaluate the satisfaction degree of customers towards the the Online Lecture Information System (SIKULI) at Universitas Muhammadiyah Riau, employing the EUCS method. The study similarly investigates the tremendous participants to user satisfaction by using analyzing 5 dimensions from the EUCS making use of a quantitative technique, the studies implemented accidental sampling, related to ninety nine lively college students as respondents. facts evaluation was achieved the use of the SmartPLS software to discover the electricity and course of relationships a number of the variables. The analysis found out that simplest ease of use and timeliness had a statistically tremendous effect on user satisfaction, whereas content, accuracy, and format did not exhibit outstanding effects. those effects emphasize that ease of use and timeliness are key factors in improving satisfaction with SIKULI. consequently, this have a look at offers sensible pointers for technical improvements to optimize the performance of academic information systems