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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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An Investigation of Environmental Factors that Influence Student's Decision to Study Information Technology: A Qualitative Approach Piyose, Xolisa Philip; Mutanga, Murimo Bethel; Ndovela, Sithembile Lydia
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.815

Abstract

Selecting a career path is crucial for students' future success and job market readiness. This study underscores the need to align education with career goals for an easier transition from school to work. It highlights the importance of environmental factors, academic performance, and personal factors in influencing students' career decisions. While many studies focus on social and academic impacts, few explore the environmental aspects affecting the career choices of Information Technology (IT) students. This research aims to fill this gap by investigating these environmental influences using a qualitative approach, concentrating on comprehensive examinations through questionnaires and focus group discussions. The specific scientific research objectives are to identify and analyse the key environmental factors that influence IT students' career choices; and to understand how these factors interact with personal and academic considerations to shape career decisions. By exploring the effects of technological advancements, media trends, societal expectations, and access to IT resources, the study seeks to uncover the core substance of environmental influences on career orientation within the IT field. It involves a diverse student group from various educational and socio-economic backgrounds. The findings reveal a strong influence of technological advancements and media trends on students' perceptions of IT careers, showing a keen responsiveness to new technologies and media representations. In contrast, societal and cultural factors like family expectations and peer pressure have a lesser effect. The study emphasises the importance of resources like IT infrastructure and early technology exposure in career choices. It suggests that educational institutions and policymakers should consider these elements to develop effective strategies. Addressing societal norms, ensuring equal resource access, and improving information availability are key. Such measures can help prepare a skilled generation, contributing to the technological field and societal advancement.
Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model Hartanti, Dwi; Permatasari, Hanifah
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.816

Abstract

Gociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand. Accurate sales forecasting is crucial for Gociko Snack to optimize stock levels, reduce storage costs, and avoid out-of-stock or overstock situations. Traditional methods of sales prediction are often unable to cope with the dynamic and complex market environment in which Gociko Snack operates. in solving the case This research uses the ARIMA (AutoRegressive Integrated Moving Average) model for forecasting and application modeling using the CodeIgniter framework in a structured Waterfall system development methodology. Through rigorous testing and evaluation, the Mean Absolute Percentage Error (MAPE) was set at 9.18, which shows the effectiveness of the application in predicting sales trends with a high success rate. This research contributes valuable knowledge and practical solutions to empower businesses to navigate and utilize data-driven decision making for long-term success and resilience.
Sentiment Analysis of Skincare Products Using the Naive Bayes Method Nurfebia, Karina; Sriani, Sriani
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.817

Abstract

The number of reviews about skincare products can be used as an evaluation of product quality and satisfaction from consumers who have used it as well as considerations for other consumers to try the product. With the number of reviews, it is important to classify reviews into positive, negative, and neutral classes so that the level of product quality from each classification class can be known. The number of reviews causes the review classification process to be unable to be carried out automatically, so sentiment analysis is carried out. To determine the classification of positive sentiment, negative sentiment, and neutral sentiment on the skincare product, the Naive Bayes algorithm method is used. Naive Bayes was chosen because it is easy to implement and has a probability value to classify data. To determine the percentage of results from the specified classification, the Confusion Matrix will be used. The results of the classification process using the Naive Bayes method produce data into 3 types, namely 65 positive classes, 87 neutral classes, and 24 negative classes with an accuracy value of 73%, precision 77%, recall 61%, and f1-score 63%.
Optimization of Network Performance in Complex Environments with Software Defined Networks Mbodila, Munienge; Esan, Omobayo Ayokunle; Elegbeleye, Femi Abiodun
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.818

Abstract

Software-defined networks (SDN) have emerged as a promising approach to address the limitations of conventional networks. Its architecture can be implemented using either a single controller or multiple controllers. Although a single controller is inadequate for managing networks, deploying multiple controllers introduces the challenge of controller placement (CPP) in a network environment. To address these issues, this study presents a Software Defined Networks-Fault-Tolerant Method (SDN-FTM) where, in the event of a network failure, the SDN controller automatically reroutes traffic through an alternate, pre-configured network path, thereby maintaining uninterrupted service. The proposed SDN-FTM was tested and evaluated in real-time using Mininet simulation tools on a real-life small scale network data from tracking unit department in Walter Sisulu University (WSU), with a focus on performance measures such as latency and throughput. From the result obtained, the proposed method produced throughput and latency on Ryu with 2.15m/s and 18408m/s respectively. Furthermore, the findings indicate that Ryu controllers generally outperform OpenFlow controllers in terms of throughput, while OpenFlow controllers exhibit lower latency. The proposed method demonstrates significant improvements in network management by providing a robust solution for maintaining high network availability and performance in the presence of faults
Service Quality and Security in Ugandan E-Banking: Implications for Customer Satisfaction: A Systematic Literature Review Kassim, Mukuuma; Mujinga, Mathias
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.820

Abstract

The rise of e-banking has significantly transformed the banking industry, introducing new dimensions of quality of service and customer satisfaction. However, existing studies have primarily focused on these aspects from a global perspective, with limited emphasis on the Ugandan context. This research aims to synthesize existing knowledge and identify key factors for developing a framework to enhance e-banking quality of service, security, and customer satisfaction in Uganda through a systematic literature review (SLR), guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The review follows a structured approach involving the identification, screening, eligibility, and inclusion stages as per PRISMA. A comprehensive search strategy across databases resulted in the inclusion of 21 studies out of an initial 103 articles. The findings reveal vital dimensions such as reliability, responsiveness, system availability, and privacy, among others, for enhancing e-banking quality of service. This study provides valuable insights for both academic and practical applications, emphasizing the need for context-specific research and laying the groundwork for future studies in the Ugandan e-banking sector.
Digital Transformation Maturity Analysis of Indonesian Navy Staff and Command College Using DTMM Suharjo, Bambang; Rimbawa, H.A. Danang
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.821

Abstract

The maturity of digital transformation refers to an organization’s development level in adopting and integrating digital technology into its business processes. The level of maturity of digital transformation in the Indonesian Navy Staff and Command College as a military education institution is very essential. The problem is the information on digital transformation maturity has not been obtained. The qualitative method through in-depth interviews was conducted on the leadership elements, namely the director and departmental heads to answer the question of digital transformation maturity. Interviews were developed in the policy and strategy, technology and infrastructure dimensions, the use of IT in the business process of educational institutions, IT-based learning, lecturers and education, data, digital leadership, efficiency and IT-based performance, and IT culture. Determination of maturity level was carried out using DTMM at initial, developing, defined, managed, and optimized. The results of the study show that overall, the level of maturity of digital transformation at the Naval Staff and Command School has reached a defined (systematic) level. The strategy for increasing the maturity of digital transformation at the Naval Staff and Command School needs to be continuously developed and implemented in each dimension.
Machine Learning Algorithms to Defend Against Routing Attacks on the Internet of Things: A Systematic Literature Review Sejaphala, Lanka Chris; Malele, Vusimuzi; Lugayizi, Francis
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.828

Abstract

The Internet of Things (IoT) has become increasingly popular, opening vast application possibilities in different fields including smart cities, healthcare, manufacturing, agriculture, etc. IoT comprises resource-constrained devices deployed in Low Power and Lossy Networks (LLNs). To satisfy the routing requirements of these networks, the Internet Engineering Task Force (IETF) created a standardised Routing Protocol for low-power and Lossy Networks (RPL). However, this routing protocol is vulnerable to routing attacks, prompting researchers to propose several techniques to defend the network against such attacks. Machine learning approaches demonstrate effective ways to detect such attacks in large quantities. Therefore, this paper systematically synthesised 17 publications to compare the performance of traditional and advanced machine learning algorithms to identify the best algorithm for detecting RPL-based IoT routing attacks. The findings of this paper show that machine learning algorithms are capable of effective detection of many routing attacks with high accuracy and a low False Positive Rate. Furthermore, the results demonstrate that on average, advanced machine learning algorithms can achieve an accuracy of 96.03% compared to traditional machine learning algorithms which achieved 91.67%. Traditional machine learning algorithms demonstrated the best performance on average False Positive Rate by achieving 2.75% compared to their counterparts which gained 4.79%. However, Random Forest showed the best performance and outperformed all the algorithms in the selected publications by achieving over 99% accuracy, precision and recall.
Evaluating the Usability of a Book Stock and Sales Recording Android App: System Usability Scale (SUS), Heuristic Evaluation, and Maze Tool Insights Najaf, Abdul Rezha Efrat; Permatasari, Reisa; Sakti, Ciptagusti Sila
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.829

Abstract

The implementation of digitalization in organizations is needed to apply technology and provide more value to customers. However, digitization still needs to be fully maximized in manually recording book stocks to record book stocks. Printed books are recorded as incoming books, sold books are sold as outgoing books and incoming and outgoing data are matched. Publishers still use Google Sheets as the primary tool for recording available book stock. However, human error, such as writing or data entry, often leads to inaccurate book stock information. Therefore, Peneleh Publishing needed an application prototype design using usability testing to identify usability issues in UI/UX development. During usability testing, the Maze tool collects user interaction data. This study used heuristic evaluation to find and solve usability problems in book sales and stock recording applications. According to the research results, the SUS score 85.2 falls into the Very Good and Acceptable category. In addition, as shown by the Tool Maze analysis, users can manage scenarios well. Experts used heuristic evaluation to suggest display improvements, pop-up notifications when books are added or subtracted, and information about successful or unsuccessful actions.
Capability Gap Analysis in IT Governance for a Logistics Company Using COBIT 2019 Yusuf, Ahmad; Saputra, Wanvy Arifha; Jamilah, Jamilah
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.832

Abstract

This paper aims to evaluate the IT governance capability levels within a logistics company using the COBIT 2019 framework, focusing on identifying gaps between the current state (as-is) and the desired state (to-be). The methodology involves an assessment of three key Governance and Management Objectives: stakeholder engagement (EDM05), IT asset management (BAI09), and IT compliance (MEA03). The results indicate that all objectives are currently at capability level 1, highlighting the early stages of implementation and the need for substantial improvement. The study concludes that addressing these gaps through the COBIT 2019 framework will significantly enhance the company’s IT governance, leading to improved operational efficiency, stronger risk management, and better alignment with strategic business goals. These findings provide actionable insights for advancing IT governance maturity, contributing to the long-term success and competitiveness of the company in the logistics sector.
Evaluating Digital Narratives in Heritage Tourism and Museum: Content Analysis, Toxicity Score, and Sentiment Classification Trough SVM and SMOTE Tabuni, Gasper; Singgalen, Yerik Afrianto
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.834

Abstract

This research uses the Digital Content Reviews and Analysis Framework to explore the dynamic interplay between digital content, sentiment, and toxicity within the context of heritage tourism at the Sangiran site. The study is driven by the urgency to understand how digital narratives impact public engagement and perception, particularly for heritage sites of global significance. Through a comprehensive analysis, the research evaluates toxicity scores, sentiment classifications, and thematic content across multiple videos related to Sangiran. The toxicity analysis reveals generally low levels of harmful content, with an average score of 0.04717, but identifies occasional peaks, highlighting the potential for negative discourse. Sentiment analysis, conducted using the SVM model enhanced by SMOTE, achieves an accuracy rate of 94.59%, with precision and recall rates of 92.07% and 97.79%, respectively, demonstrating the model's robustness in capturing audience sentiment. Content analysis identifies critical themes, such as human evolution and fossil discoveries, emphasizing the educational value of digital content. The research underscores the importance of curating digital narratives that engage, educate, and foster a positive and respectful discourse. The findings suggest that while digital content successfully educates the audience, managing contentious topics is crucial to maintaining constructive engagement. This study contributes to developing more effective digital strategies for heritage tourism, ensuring the sustainable promotion and preservation of sites like Sangiran while addressing the challenges of online discourse. The research highlights the need for continued exploration of digital content's role in shaping public perceptions of cultural heritage.

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