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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 IT Change Management through Communities of Practice and Social Learning: A Case Study at a University Marcel, Marcel; Kristiani, Evelline; Mudita, Damida Shu
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.781

Abstract

As information technology (IT) is taking over numerous aspects of our lives, handling IT changes becomes more and more urgent for the higher education institutions. The study that aims to explore the influence of social learning within a Community of Practice (CoP) in IT change management at the University X in Jakarta was conducted. Through a case study approach that involves document analyses, semi-structured interviews, and participant observations, it was shown the pivotal role of CoPs in facilitating the IT changes by promoting social interaction and collaboration. The CoP can help to find the problem early and build a risk-reduction plan around it. This research finds that despite challenges maintaining consistent procedures, inter-departmental coordination, and the necessity of broadened training and communication, integrating CoPs with COBIT 2019 principles can offer a unified approach to IT transformation for the universities. The integration will allow universities to have better plan around changes in technology and offers practical examples for other higer education institutions.
Bibliometric Analysis of Data Analytics Techniques in Cloud Computing Resources Allocation Sekwatlakwatla, Sello Prince; Malele, Vusumuzi
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.v6i3.782

Abstract

Cloud computing provides on-demand computing services over the Internet, allowing for quicker innovation, more flexible resources, and economies of scale while reducing the need for physical data centers and servers. With this benefit, most organizations are adopting this technology, and some organizations are also operating fully on cloud computing. This causes traffic to increase, and most of these organizations are struggling with resource allocation, resulting in complaints from users regarding inactive system performance, timeouts in applications, and higher bandwidth use during peak hours. In this regard, this study investigates data analytics techniques and tools for the allocation of resources in cloud computing. The study indexed journal articles from the Scopus Database and Web of Science (WOS) between 2010 and 2024. This article brings new insights into the analysis of data analytics techniques in Africa and collaborations with other developing countries. The findings present tools and approaches that may be used to allocate cloud computing resources and give recommendations.
An Experimental Study of The Efficacy of Prompting Strategies In Guiding ChatGPT for A Computer Programming Task Mnguni, Nompilo Makhosi; Nkomo, Nkululeko; Maguraushe, Kudakwashe; Mutanga, Murimo Bethel
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.v6i3.783

Abstract

In the rapidly advancing artificial intelligence (AI) era, optimizing language models such as Chatbot Generative Pretrained Transformer (ChatGPT) for specialised tasks like computer programming remains a mystery. There are numerous inconsistencies in the quality and correctness of code generated by ChatGPT in programming. This study aims to analyse how the different prompting strategies; text-to-code and code-to-code, impact the output of ChatGPT's responses in programming tasks. The study adopted an experimental design that presented ChatGPT with a diverse set of programming tasks and prompts, spanning various programming languages, difficulty levels, and problem domains. The generated outputs were rigorously tested and evaluated for accuracy, latency, and qualitative aspects. The findings indicated that code-to-code prompting significantly improved accuracy, achieving a 93.55% success rate compared to 29.03% for text-to-code. Code-to-code prompts were particularly effective across all difficulty levels, while text-to-code struggled, especially with harder tasks. Based on these findings, computer programming students need to appreciate and comprehend that ChatGPT prompting is essential for getting the desired output. Using optimised prompting methods, students can achieve more accurate and efficient code generation, enhancing the quality of their code. Future research should explore the balance between prompt specificity and code efficiency, investigate additional prompting strategies, and develop best practices for prompt design to optimize the use of AI in software development.
Sentiment Analysis of Indonesian Citizens on Electric Vehicle Using FastText and BERT Method Wijaya, Darryl Rayhan; Sasmitha, Gusti Made Arya; Vihikan, Wayan Oger
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.v6i3.784

Abstract

Electric vehicles have become one of the most important innovations in the automotive industry in recent years. This is not only related to technological developments, but also to its significant impact on the environment and lifestyle of global society. Lot of people do not know about the benefit of using electric vehicles for our environment. The transition from conventional vehicles to electric vehicles can really make our environment healthier and also reducing the pollution. At the same time, debates and feelings about electric vehicles continue to grow around the world. This study aims to understand the dynamics of people's feelings and opinions about electric vehicles through sentiment analysis using the FastText and IndoBERT methods. FastText is an efficient text classification and representation learning method developed by Facebook's AI Research (FAIR) lab. IndoBERT is a pre-trained language model specifically designed for the Indonesian language, leveraging the Bidirectional Encoder Representations from Transformers (BERT) architecture. By analyzing a total of 119,310 data from January 2020 to June 2023, the tweets data were categorized into negative, neutral, and positive classes. Model yielded the highest accuracy of 82.5% using IndoBERT method. The results outcomes positive perceptions of electric vehicles among Indonesian citizen with a percentage of 58%. By carrying out this research, it is hoped that it can produce quality information for producers, the community and the government in developing and advancing public interest in purchasing electric vehicles considering the very positive impact they have on the surrounding environment.
Behavioral Intentions of Generation Z and Millennial Users of Telemedicine: A UTAUT 2 Analysis from the Halodoc User Perspective Hidayah, Nur Aeni; Utami, Meinarini Catur; Rizki, Irfan Nur
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.v6i3.786

Abstract

The rapid development of telemedicine has significantly transformed health services, leveraging technological sophistication to enhance medical consultations and treatments. Halodoc, a leading telemedicine application, has positively impacted the health sector. However, user reviews on the Google Play Store indicate issues that may affect user satisfaction and behavioral intention. Despite Millennials and Generation Z being major digital platform users, Generation X reports the highest satisfaction with telemedicine services. This study aims to validate the factors influencing and interrelating user satisfaction and behavioral intention in using the Halodoc application. Employing a quantitative approach with PLS-SEM data analysis, the study integrates the UTAUT 2 model with the Delone & McLean model. The results reveal that out of eight hypotheses, seven are supported, with Effort Expectancy on User Satisfaction being the only rejected hypothesis. The findings highlight that User Satisfaction significantly influences Behavioral Intention, underscoring the importance of enhancing user experience to improve telemedicine adoption.
A Mobile-Based Network Tools Information System to Enhanced Connectivity and Security Rosalina, Rosalina; Sahuri, Genta; Nanda, Yovalentino Aprilian Wijaya
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.v6i3.787

Abstract

This paper addresses the common challenges faced by network administrators in managing and troubleshooting network issues. Traditional desktop-based network management tools often restrict mobility and responsiveness, hindering the ability to address network problems promptly. To address these limitations, this study presents the development of a mobile-based network tools information system. The proposed solution integrates various network management functionalities into a mobile application, enabling administrators to monitor, diagnose, and resolve network issues remotely. Employing a design and implementation approach, the research includes user requirements analysis, system design, and rigorous testing. Results show significant improvements in response times and diagnostic accuracy. User feedback highlights high satisfaction with the system's functionality and ease of use. Overall, the mobile-based network tools information system offers a versatile and effective solution for network management, enhancing operational efficiency and responsiveness in diverse network environments.
Exploring Public University Undergraduate Students’ Experiencing Intention to Use ChatGPT in Academic Purpose: Application of TAM Theory Alam, S. M. Ashraful
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.v6i3.789

Abstract

This study is all about exploring the public university students’ experiencing intention to use ChatGPT in academic purpose with the application of TAM theory along with new extension like enjoyment, informativeness and privacy and security factors. The study was conducted in Rangpur division, Bangladesh. Total 412 data were found valid after data collection. SPSS and Smart PLS software were applied for analysis of the data with TAM theory. The study result shows that, all the factors except perceived enjoyment impacts positively the attitudes of students. Service providers of ChatGPT should consider this factor carefully so that in future they can update some new feature with ChatGPT that may be enjoyable to the users. Teachers of the university should be careful while examining students’ different assignments and projects whether they are not directly copied from ChatGPT or not. Future studies can be with other factors with the existing factors and mediation can also be done by the researchers for further study. School and college level students may be considered for this type of study and the sample size should be larger for better result.
IT Proficiency in A Media and Publishing Company Using the COBIT 2019 Framework Kevin, Kevin; Setiawan, Johan
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.v6i3.794

Abstract

Information technology plays a pivotal role in enhancing company performance by streamlining data management processes. The company, currently transitioning from the SAP ERP system to the Odoo ERP system, faces significant challenges, particularly regarding the readiness of human resources and data migration. This study aims to elevate the IT capability level to identify domain priorities and establish procedures that will bolster IT utilization to meet corporate objectives. Employing the COBIT 2019 framework, this research evaluates the company's IT governance through capability level measurements conducted via interviews. The assessment identified three priority domains: APO12 (Managed Risk) and APO13 (Managed Security), both at level 2 with a 65% rating, and BAI10 (Managed Configuration), also at level 2 but with a slightly higher score of 65.4%. These domains fall short of their targets, with APO12 and APO13 aiming for level 4, and BAI10 targeting level 3, as per company goals. The findings indicate that these domains require significant improvement to meet the desired capability levels. Recommendations include focusing on risk management, enhancing HR training, improving configuration and security of information systems, and customizing ERP modules to address specific company issues. By implementing the suggested recommendations, the company can significantly enhance its IT capabilities, thereby achieving its corporate objectives more efficiently. These improvements will facilitate a smoother transition to the Odoo ERP system, ensuring better risk management, security, and configuration management.
Analysis of Digital Marketing Strategy Based on SOSTAC Method Patni, Ni Putu Sri Ratih Dia; Susila, Anak Agung Ngurah Hary; Trisna, I Nyoman Prayana
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.v6i3.795

Abstract

PT Kana Bali Nature is a retail company of beauty and body care products in Denpasar, Bali, which has problems with decreased brand awareness and cost overruns due to suboptimal digital marketing implementation. This research aims to analyze and implement a thorough and comprehensive digital marketing strategy using the SOSTAC method which is flexible and effective enough to be used. The SOSTAC method includes situation analysis, setting 5S objectives and SMART Goals, STP Strategy, 7P Marketing Mix Tactic, Action, and Control with KPI metrics. The results of the 3-month research show that the digital marketing strategy carried out at PT Kana Bali Nature is quite effective. The majority of KPI indicators in each aspect managed to achieve targets such as an increase in revenue of up to 55.6% even though several other indicators were still declining. Suggestions and recommendations are given to maximize the company's future strategy. Keywords: Digital Marketing, SOSTAC method, marketing strategy, retail company
Determinants of E-participation in Government Initiatives based on Theory of Planned Behaviour: Insights from Guyana Sarran, Dave
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.v6i3.797

Abstract

E-participation is growing increasingly relevant as a tool that facilitates citizens’ participation in policymaking and decision-making activities while studies surrounding the intention of citizens to engage with e-participation in developing countries remain limited. Thus, it is essential to understand the factors that may or may not influence a citizen’s intention to engage with e-participation initiatives in order to build successful initiatives. This study proposes a conceptual model that extends Theory of Planned Behaviour to incorporate the construct, Trust in Technology. Using data collected from an online survey of 344 Guyanese citizens, the model was tested and validated using Partial Least Square - Structural Equational Modelling (PLS-SEM). The quantitative results proved that citizens with stronger perceived behavioural control and subjective norms positively affects the intention to engage with e-participation. Additionally, the study found that attitude and trust in technology have no significant effect on citizen intention. The findings presented in this document present a vivid idea of the factors that impact citizens' intentions to participate in e-participation programmes in Guyana. These findings can help practitioners in designing effective and efficient e-participation programs.

Page 39 of 66 | Total Record : 653

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