Indonesian Journal of Information Systems

Academic Factors Influencing Students Career Choices in the IT Field: Insights from South African IT Students

2023-12-07T15:07:36+07:00

Effective career decision-making is pivotal for students, influencing their prospects and employability. This study delves into the nuanced relationship between academic factors and career choices among Information Technology (IT) students. While existing literature acknowledges the broad impact of academic performance on career decisions, limited research explores this dynamic within the context of South African universities. This research employs a comprehensive mixed-methods approach, examining the influence of educational experience, mentorship, access to resources, and institutional support on students' academic performance and subsequent career choices. Through statistical analysis and qualitative interviews, the study unveils unique insights into the interconnected effects of these factors on IT career pursuits. The findings bear significance for educators, career counselors, policymakers, and industry stakeholders. By understanding the multifaceted elements shaping academic performance and career decisions, institutions can tailor support programs, refine curricula, and nurture holistic student development. Employers stand to gain insights into the attributes of high-performing individuals, aiding talent management and recruitment. For IT students, this research provides a profound exploration of the intricate links between academic performance, career choices, and outcomes, contributing to the broader discourse on workforce development and the future of the IT sector.

Online Banking User Experience: A User Experience Questionnaire (UEQ) Assessment in South Africa

2024-02-12T12:33:53+07:00

Online banking has seen tremendous growth driven by the emergence of the fourth industrial (4IR) and innovative technologies in every aspect of our daily activities. Hence, there is an emergence of areas of research around aspects of online banking, such as the need for user experience. This paper evaluates online banking user experience (UX) using the user experience questionnaire (UEQ). The study collected 725 survey responses from UEQ in South Africa, and the findings show a high quality of UX based on a comparison against the UEQ benchmark data set. More specifically, the hedonic quality scale aspect is at the highest level compared to the pragmatic quality aspects of UX. The findings provide practical contributions to online banking designers and developers in retail banks to optimise areas of strength and improve on those aspects that need improvements.

The Addition of Adaboost to The Use of The C4.5 Algorithm to Improve The Accuracy of Classification of Study Interests

2023-08-07T12:12:10+07:00

Specialization is one of the important things in focusing the student's field of study. At one university that has a faculty of computer science, there is an Informatics Engineering undergraduate study program which is divided into two specializations, namely intelligent systems and software engineering design. At one university that has a faculty of computer science, there is a bachelor's program in Informatics Engineering which is divided into two specializations, namely intelligent systems and software engineering design. students find it difficult to choose one of the specializations in the informatics engineering study program. To overcome these problems, the authors provide solutions in the form of ideas that can recommend students in determining specialization. In this problem, the algorithm that will be used is the C4.5 algorithm based on forward selection plus adaboost. The results of the specialization classification use the selected attributes and iterate over the cross-validation so as to produce the right accuracy. Testing the C4.5 algorithm produces an accuracy of 93.89% and the C4.5 algorithm based on forward selection produces an accuracy of 94.44% while using the C4.5 algorithm based on forward selection with the addition of adaboost produces an accuracy of 94.63%. Based on these tests, it proves that there is an increase in accuracy by adding selection and adaboost features to the C4.5 algorithm.

Driving Factors of Cloud Accounting Implementation in Small and Medium Enterprises (SMEs): Evidence from Indonesia

2024-01-04T09:28:35+07:00

This paper attempts to identify key factors that affect Small and Medium Enterprises (SMEs) decision in implementing cloud accounting system on their business, in particular Indonesia’s Bandung region. Bandung greater area has long been recognized as among the amiable region for SME development in the economy. This research qualitatively analyzed primary data obtained through a series of in-depth interviews with SMEs key personnel regarding the opportunity of cloud-based accounting. The informants were eight key SMEs personnel selected for their relevant knowledge and experience in accounting and associated technology use. An expert-based validation was then conducted on factors that were successfully identified at coding stage. The findings indicate that there are seven decisive factors which influence SMEs decision including security, usability, human resource, time, communication, cost, and functionality. This research offers an insight regarding the implementation of cloud accounting in SMEs by filling the identified gap to the body of literature in cloud accounting and SMEs in particular developing economy.

Preserving Meher and Woirata Corpus Languages using Neural Machine Translation

2024-01-21T14:12:10+07:00

Research on languages, particularly regional languages, is extremely challenging to conduct because there is very little or no language corpus available, particularly for Indonesia's regional languages. This project seeks to construct a translation machine for Indonesian in Meher and Woirata languages, and vice versa. However, to be able to achieve this, a corpus of Meher and Woirata languages must first be developed. The production of this corpus was carried out through field studies, the researcher requested various speakers of this language to translate manually and then compared the results from several translators through focus group talks to identify the appropriate use of words. The outcomes of this translation process are then written in the form of a database of Indonesian-Meher and Indonesian-Woirata language pairings which will subsequently be utilized as a learning database for the translation machine that will be created. This research succeeded in collecting 714.000 words in the Meher language and 805.000 words in the Woirata language. These results were then employed as a machine translation learning corpus, the output of the translation carried out by this machine was then validated through direct assessment by speakers of the two languages. The results of this testing indicated an accuracy above 80% for both translation into the Meher language and translation into the Woirata language. From the research carried out, it can be concluded that the construction of the Meher language corpus and the Woirata language corpus which was carried out through field research was successful in gathering and establishing a language corpus for these two languages. Apart from that, the experimental results suggest that the employment of translation algorithms to convert Indonesian into regional languages and vice versa may be carried out and provide translations with acceptable accuracy. The contribution of this research is in the establishment of the Meher and Woirata language corpus so that it can be generally accessed by anyone who requires it.

Business Process Reengineering to Improve Supply Chain Management at Batik Semarang 16 Through Implementation of ERP Odoo

2024-01-21T18:23:31+07:00

This study aims to design an improvement in the Supply Chain Management using the ERP Odoo application. This research starts from conducting field studies on the research object, designing the required system, prototyping, testing, and implementation. The methodology used is RND Borg and Gall Method approach to reach the right model in making business models for reengineering ERP implementation in small and medium enterprises. As a result, the business processes create using Odoo, is way more efficient because all business activities can be integrated with each other so that there is an automation of changing the working status of the product so there is no need to check manually. Finally, testing has been done to see how well the system is.

Virtual Overseer for Examination Using Artificial Intelligence

2023-06-17T09:57:51+07:00

The Virtual Overseer for Examination using AI is a proposed system that utilizes artificial intelligence (AI) to monitor and supervise online exams. The system aims to enhance the credibility and integrity of online exams by detecting and preventing cheating behaviors such as copying answers or using unauthorized materials. The proposed system utilizes computer vision and machine learning algorithms to analyze exam sessions in real time and flag suspicious behaviors for review by human proctors. The system also employs facial recognition technology to authenticate test-takers' identity and ensure that the right person is taking the exam. Overall, the Virtual Overseer for Examination using AI has the potential to revolutionize online education and assessment by providing a secure and reliable platform for conducting remote exams.