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INDONESIA
Journal of Information Systems and Informatics
Published by Asosiasi Doktor Sistem Informasi Indonesia
ISSN : 26565935     EISSN : 26564882     DOI : 10.63158/journalisi
Core Subject : Science,
Computer Science & IT
Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering which is summarized in one publisher. Journal-ISI became one of the means for researchers to publish their great works published two times in one year, namely in March and September with e-ISSN: 2656-4882 and p-ISSN: 2656-5935.
Arjuna Subject : -
Articles 653 Documents
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Enhancing Credit Risk Classification Using LightGBM with Deep Feature Synthesis Tambunan, Sarah Rosdiana; Amalia, Junita; Sitorus, Kristina Margaret; Sibuea, Yehezchiel Abed Rafles; Hutabarat, Lucas Ronaldi
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.902

Abstract

In the digital financial services era, Peer-to-Peer (P2P) lending has emerged as a significant innovation in fintech. However, credit risk remains a major concern due to the potential for payment failures, which can cause losses for platforms and investors. This research explores the impact of Deep Feature Synthesis (DFS) on credit risk classification and evaluates the performance of the Light Gradient Boosting Machine (LightGBM) algorithm with and without DFS. The data used in this study was sourced from Kaggle, a peer-to-peer lending company based in San Francisco, California, United States. The dataset contains 74 attributes, with a total of 887,379 rows. DFS automatically generates new attributes, while LightGBM is used for selecting the most important features, aiming to optimize credit risk predictions and simplify the model's complexity. The results of credit risk classification models using DFS and without it. Findings reveal that DFS enhances the accuracy of the credit risk classification, achieving a 0.99 accuracy rate compared to 0.97 without DFS, achieving a recall and F1-score of 0.94 and 0.96 with DFS and 0.68 and 0.81 without DFS. These results suggest that DFS is an effective feature engineering technique for boosting credit risk model performance. This research contributes significantly to the P2P lending industry by demonstrating that combining DFS with LightGBM can improve credit risk management, making it a valuable approach for financial platforms.
Improving IT Service Management (ITSM) Capability in Small Application Development Firms Using FitSM: A Case Study Integrated with Socio-Technical Systems Theory Kristiani, Evelline; Marcel, Marcel
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.904

Abstract

This paper looks at how the FitSM framework, together with Socio-Technical Systems (STS) theory, can help improve IT Service Management (ITSM) in a small software development firm. Limited resources often cause small businesses to manage services inefficiently, which leads to inconsistent delivery and dissatisfaction among clients. The study focuses on a single software company in Jakarta, where ITSM processes like incident management, change management, and configuration management were assessed. The research involved interviews with key staff, an evaluation of current practices, and a gap analysis to identify areas needing improvement. The results show that most processes are at an early stage, with some progress in Configuration Management. By using FitSM’s structured approach and addressing teamwork and communication issues through STS theory, the company can improve service reliability and efficiency. The study concludes that combining FitSM with socio-technical principles provides a practical solution for small companies to enhance their ITSM practices and overall service quality.
Evaluating User Experience and Usability of the USEPT Website Using User Experience Questionnaire and System Usability Scale Method Olivia, Fanny; Ibrahim, Ali
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.910

Abstract

In recent years, assessing the quality of the Sriwijaya University English Proficiency Test (USEPT) website and its user experience has become increasingly important due to the globalization of higher education and the need for students to develop international communication skills. This study aims to evaluate the UX and usability of the USEPT website by using the User Experience Questionnaire (UEQ) and System Usability Scale (SUS) to provide a comprehensive analysis. The results showed that all aspects of the UEQ scored with an average value ranging from -0.88 to 0.48 making it in the “bad” category especially on attractiveness, stimulation and novelty. While the average SUS score is 50 which categorizes usability at the “Not Acceptable” level, with a grade of “F” and adjective rating at the “poor” level. These findings illustrate the poor functionality of the website due to unsatisfactory user experience, thus requiring holistic improvements across all dimensions of UEQ. Recommendations for improvement include optimizing website navigation, increasing visual appeal by creating an attractive design, integrating interactive features to increase user engagement and satisfaction. This research makes a positive contribution to the development of the USEPT website in user satisfaction and can be a reference for website evaluation.
Development of a Real-Time Traffic Density Detection Website Using YOLOv8-Based Digital Image Processing with OpenCV Juliansyah, Rizki; Ar Rachman, Muhammad Aqil Musthafa; Amin, Muhammad Al; Tyanafisya, Aisya; Hanifah, Nurrizkyta Aulia; Giri, Endang Purnama; Mindara, Gema Parasti
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.912

Abstract

This study introduces a real-time traffic density monitoring system utilizing YOLOv8-based digital image processing to improve traffic management efficiency. By leveraging YOLOv8’s enhanced speed and precision, the system detects and classifies five types of vehicles and displays traffic data through a web interface developed with OpenCV and Flask. Key implementation features include real-time video streaming and accurate detection metrics, with the system achieving 96% Precision, 84% Recall, and an F1 Score of 90% during field testing in Bogor. This indicates the system’s potential for minimizing manual traffic monitoring and aiding traffic authorities in making data-driven decisions. The research also discusses the system’s integration into urban traffic management and its scalability for diverse environments.
Implementation of Website-Based Student Attendance System Using Codelgniter Framework at NU Ungaran Vocational High School Hardiko, Nova Dwi; Rohman, Abdul
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.916

Abstract

Nowadays, the use of technology is really needed by all levels of humans and education to make it easier to process data. The attendance information system at Vocational School NU Ungaran is currently still implemented conventionally or manually, such as the teacher taking the attendance data book in administration, then the teacher calls the students one by one for the process of filling in the attendance, then the teacher hands it over to the picket officer after finishing class time to be attended to. recap of attendance data, according to one of the teachers and picket officers, it was less efficient, which often resulted in damage or loss of the attendance book. The aim of this research is to make it easier for teachers and picket officers at Vocational School NU Ungaran when recording attendance data for all students. In this way the author designed my attendance using PHP and MySQL to process the database. My absence website is equipped with a QR code which is supported by using a camera or laptop camera which functions to take photos of students' barcodes for attendance. The results of this research aim to make it easier for teacher picket officers at Vocational School NU Ungaran to carry out attendance recaps.
Evaluating Data Privacy Compliance of South African E-Commerce Websites Against POPIA Da Veiga, Adele; Abdullah, Hanifa; Eybers, Sunet; Ochola, Elisha; Mujinga, Mathias; Mwim, Emilia
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.917

Abstract

South African e-commerce websites must comply with the Protection of Personal Information Act (POPIA) to process customer’s personal information. However, limited research exists about data privacy implementation within these websites. This study assesses the extent of data privacy integration in 50 SA e-commerce websites. The assessment uses 57 evaluation criteria developed in the initial phases of the study, mapped to POPIA and refined in this study. While some e-commerce websites meet the requirements, significant improvements are required to safeguard users' personal information. Key areas requiring attention include processing consent, strong password management, and quality of data that was not ensured. Recommendations include clear data collection practices, explicit purpose specification, consent acquisition for processing, marketing preferences and sharing with third parties, data quality maintenance and enhanced security measures for passwords. Many online privacy policies fail to cover all POPIA privacy conditions and specific recommendations for content are included. These findings highlight a critical need for stronger data privacy practices in South African e-commerce to protect customer information. The refined evaluation criteria are a novel contribution for use by organisations to assess or develop their websites to operationalise POPIA requirements, supporting better self-assessment and integration of data privacy measures.
Comparison of Conversational Corpus and News Corpus on Gender Bias in Indonesian-English Transformer Model Translation Wijanarko, Andik; Al Haura, Adzkiyatun Nisa; Puspitaningrum, Indar; Saputra, Dhanar Intan Surya
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.918

Abstract

Gender bias in machine translation is a significant issue that affects text translation and gender perception, often leading to misunderstandings, such as the tendency to default to using male pronouns. For example, the word "dia" in Indonesian is often translated as "he" rather than "she," even when the context suggests otherwise, as seen in the case of President Megawati. Reducing this bias requires ongoing research, particularly in understanding how different corpora affect translation accuracy. Studies have shown that formal news corpora, which have less gender bias, produce different results compared to conversational corpora that are more informal and exhibit gender bias. This research uses a training dataset of the Indonesian-English conversational parallel corpus from Open Subtitles, which contains many gendered pronouns. Additionally, a news corpus from Tanzil, with fewer gendered words, was also used. These corpora were sourced from Opus, widely used by previous researchers. For the testing dataset, biographies of female presidents were used, which are often translated as masculine by popular machine translation systems by default. Each corpus was trained using a Transformer model, resulting in a translation model. Each sentence from the generated translations was then detected for gender, and compared with the gender of sentences from the test data to evaluate accuracy. The results showed that the accuracy of gender translation from the conversational corpus was 84%, while the news corpus achieved an accuracy of 8%.
Strategic Information Systems Planning Analysis Using the Ward and Peppard Method: A Case Study Ardiansyah, Muhammad; Wahyudi, Angga
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.922

Abstract

This paper aims to develop a strategic information systems (IS) plan using the Ward and Peppard methodology, employing a qualitative approach with data collected through direct observations, interviews with key stakeholders, and a comprehensive literature review. The study integrates analytical tools such as SWOT, Value Chain, Porter’s Five Forces, PEST, and McFarlan’s Strategic Grid to evaluate internal and external environments. Findings reveal strengths in operational efficiency and customer engagement, alongside challenges like reliance on manual reservation systems and limited product diversification. Based on these insights, a strategic IS application portfolio and phased implementation plan were proposed to align IT investments with strategic objectives. The proposed solutions are expected to improve reservation handling, enhance customer engagement, and increase operational efficiency. This study highlights the innovative application of the Ward and Peppard methodology in the recreational sports industry, offering a scalable framework for other businesses to address similar operational challenges. Future research could extend this approach to real-world implementations or explore its adaptability across diverse sectors.
Low-Cost LoRaWAN Solution for Groundwater Monitoring in Peatlands Usman, Saifudin; Atimi, Rizqia Lestika; Anhar, Muh; Susanto, Anto
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.923

Abstract

Some efforts made in restoring peatlands include moisture restoration, replanting, hydrological restoration, monitoring, and evaluation using technology to obtain periodic condition data. The implementation of the Water Level Logger (WLL) for monitoring groundwater levels in peatlands still faces issues because the sensor installation points are not served by cellular communication networks for data transmission. This research aims to implement a Low Power Wide Area Network (LPWAN) as a low-cost infrastructure used in applications for monitoring water levels in peatland. The method in this research is an approach to develop LoRaWAN gateway devices and servers using ChirpStack, equipped up to the application layer as supporting infrastructure for self-hosted groundwater level monitoring tools integrated with a time-series database and displaying measurement data on a dashboard periodically. Based on the tests, the average measurement of the Received Signal Strength Indicator (RSSI) obtained at the farthest distance of 3 km was -116 dBm, where the RSSI value also decreased with each additional distance, and the Line-of-Sight (LOS) condition significantly affected the RSSI value. This research shows that a real-time peat groundwater monitoring system has been successfully built at a low cost using self-hosted LoRaWAN gateways and servers, while maintaining reliability.
Enhancing Public Sector IT Governance through COBIT 2019: A Case Study on Service Continuity and Data Management in the Central Lombok Bagja, Amir; Amri, Zaenul; Imtihan, Khairul; Rodi, Muhamad; Rusniatun, Siska Yuni
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.924

Abstract

This study evaluates the IT governance maturity of the Central Lombok Civil Service Police Unit (Satpol PP) using the COBIT 2019 framework, focusing on improving service continuity and data security in a resource-constrained public sector context. The assessment, conducted across key domains such as service delivery, data security, and compliance, revealed that Satpol PP operates at Level 3 (Defined) maturity. While processes are documented and standardized, significant gaps remain in automation, proactive risk management, and real-time monitoring. These limitations hinder the organization's ability to optimize service continuity and safeguard sensitive data effectively. The study emphasizes the innovative application of COBIT 2019 in a resource-limited environment, demonstrating how the framework can be adapted to prioritize immediate needs while progressively advancing IT governance maturity. Key recommendations include automating monitoring systems, enhancing data security protocols, and implementing proactive risk management strategies. These findings contribute valuable insights into the challenges and solutions for IT governance in public institutions, providing a replicable model for similar organizations. Future research should explore the long-term impacts of these recommendations on IT governance maturity and service efficiency in other public sector contexts.

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