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Journal : the journal of information technology computer science and electrical engineering

Designing a Master of Accounting Study Program Profile Website Using the Wordpress Content Management System Abdul Khaliq; Muhammad Iqbal; Dadang Iskandar Mulyana
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 1 (2024): February-May 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i1.2

Abstract

This article discusses designing a study program profile website using the WordPress Content Management System (CMS). Higher education has a need to present relevant and up-to-date information to prospective students, students, lecturers and the general public. A study program profile website can be an effective tool to meet these needs. The design method used in this research involves the needs analysis stage, interface design, selecting an appropriate WordPress theme, developing special features relevant to the study program, and testing functionality. Using the WordPress CMS as a content management platform makes it easy to manage and update content independently without requiring advanced programming skills. The result of this research is a study program profile website that is responsive, attractive, and easy to navigate. The features implemented include information about study programs, curriculum, lecturers, facilities and the latest news. Apart from that, it is equipped with a search feature to make it easier for users to find the specific information they want. Implementing the WordPress CMS as a content management platform provides time and cost efficiency benefits in managing a website. In addition, the flexibility and ease of adding or changing content ensures that the information presented is always up to date and relevant. In conclusion, designing a study program profile website using CMS WordPress is an effective solution for presenting up-to-date and relevant information to stakeholders in the academic environment. This research makes a contribution to the field of information technology, especially in the use of CMS platforms for efficient content management in the context of higher education.
Classification Analysis of the Assessment of the Community Satisfaction Index for Public Service Mall Services Based on Education Using Decision Tree Nelviony Parhusip; Muhammad Iqbal; Sri Wahyuni
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.129

Abstract

This study aims to analyze the classification of the Community Satisfaction Index (CSI) assessment of Public Service Mall (PSM) services based on the level of education using the Decision Tree algorithm. Assessment of public satisfaction with public services is very important to improve the quality of services, and educational factors can affect the perspective and assessment of the services received. The data used in this study is secondary data on Medan City SMEs collected from January to September 2023. The research process includes data collection, preprocessing, and modeling using the Decision Tree algorithm with the help of RapidMiner software. The results of the analysis showed that respondents with higher education levels, such as D3, S1/D-IV, S2, and S3, tended to give better assessments of PSM services, with most of them giving Excellent (4) and Good (3) scores. In contrast, respondents with lower education, such as high school and junior high school, gave more varied assessments, although the score of Very Good (4) was still dominant in most respondents. This study suggests that PSM managers consider educational factors in designing and improving the quality of public services to meet the diverse expectations of society. Further research can explore other factors that affect community satisfaction, such as age or user experience.
Application of Data Mining on Mobile Phone Sales Data Using the Apriori Algorithm (Case Study: Sentral Phone Store) Maida Indrayani; Muhammad Iqbal
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 2 (2025): June-September 2025
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i2.201

Abstract

Mobile Phone is an electronic device used to communicate, transact digitally and as a medium for exchanging data and information. Mobile Phone is one of the secondary needs that must be owned by the community. In its development, there are various types of mobile phone brands that are sold and the prices offered also vary. The community can buy mobile phones according to their needs and financial capabilities. To see the mobile phone brands that are most in demand by the community, data mining is used using the apriori algorithm to analyze the sales of the most sold mobile phones. So that with the use of the apriori algorithm, it avoids the accumulation of unsold mobile phones.