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All Journal The Journal of Information Technology, Computer Science, and Electrical Engineering
Desy Ramatika
Universitas Pembangunan Panca Budi

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Analysis of Online Shopping Addiction Level Using the K-nearest Neighbor Algorithm at SMK Negeri 1 Tanjung Pura Zulham Sitorus; Alviona Marsya; Desy Ramatika; Ramli S Siburian
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.62

Abstract

The rapid development of technology has significantly had an indirect impact on all aspects and dimensions of human life. Online shopping is a form of technological progress. Online shopping is all activities related to online transactions that take place via the internet or other electronic networks. The online shopping process no longer requires face-to-face contact but can be done simply by communicating via the internet. Based on the researcher's preliminary study, at SMK Negeri 1 Tanjung Pura many students spend time shopping online. This online shopping is not only done during break times or after school but is also done during class hours. Based on researchers' observations, students at SMK Negeri 1 Tanjung Pura who like online shopping have an impact on their education. Their study time is reduced, causing their grades to drop. Apart from that, online shopping affects its users, it can cause relational and social problems which have made children rarely socialize with their surroundings, withdraw from social interactions and ultimately make their lives uncontrollable because online shopping takes over their minds. Therefore, through this task, an analysis of the level of online shopping addiction was made using the K-Nearest Neighbor method. The data used is data from students at SMA Negeri 1 Tanjung Pura and the results of this data will be classified using the K-Nearest Neighbor algorithm to find out whether someone is addicted to online shopping based on the level of addiction. The results of the analysis of the level of online shopping addiction in these students, whether they have low addiction or high addiction.
Analysis of Property Tax Bill Classification Using the C4.5 Algorithm Andysah Putera Utama Siahaan; Ami Abdul Jabar; Sugeng Pranoto; Sulis Sutiono; Desy Ramatika
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.v1i3.100

Abstract

This study analyzes the classification of Property Tax (Pajak Bumi dan Bangunan, PBB) bills in Tebing Tinggi City using the C4.5 algorithm to improve tax management efficiency. The secondary data used consists of 56,332 entries related to PBB for the 2022-2023 tax year. Using data mining methods and decision tree modeling, the C4.5 algorithm successfully classified taxpayers based on their total bill amount into five categories of tax books. The analysis results show that the majority of taxpayers are classified into categories with lower bills (Books I and II), while high-bill taxpayers (Book V) represent only a small portion of the data. These findings can help local governments design more efficient tax collection policies and adjust resource allocation. Although the study is limited to a single tax year and a specific region, these results contribute to data mining-based PBB management and can serve as a foundation for further research.
Student Internship Admission Information System At Pt Pelabuhan Indonesia I Persero Belawan Branch Desy Ramatika; Darmeli Nasution
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.v1i3.103

Abstract

PT Pelabuhan Indonesia I or often called Pelindo I is one of the State-Owned Enterprises of Indonesia engaged in the port services sector. The student internship acceptance system at PT Pelabuhan Indonesia Persero 1 Belawan Branch still uses a manual acceptance system and students must come directly to the location to apply for an internship. So that there are often obstacles experienced by students because most likely the company is not currently opening internship acceptance or if the company has run out of quota to accept internships because the quota has been fulfilled. Following up on the problems that occurred, a design for an intern acceptance information system was created. With the hope that this intern acceptance information system can solve existing problems. So that the acceptance of interns can be done easily without having to come directly to the company. This system is made using the PHP programming language which is website-based
Visualization of Data Recipients of the Smart Indonesia Program (PIP) through the Business Intelligence Dashboard at the PSP Center Desy Ramatika; Leni Marlina; Andysah Putera Utama Siahaan
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.v2i2.204

Abstract

The increasing number of recipients of the Indonesia Smart Program (Program Indonesia Pintar - PIP) demands a more effective and efficient data management system. At PSP Center, conventional methods such as spreadsheets are still primarily used for recording and reporting, which may cause delays in information, input errors, and a lack of in-depth data visualization. This study aims to design and develop a Business Intelligence (BI) dashboard capable of integrating PIP recipient data from various sources and presenting it in an interactive and informative visual format. By applying the Extract, Transform, Load (ETL) process, this system is expected to improve analysis efficiency, support data-driven decision making, and strengthen transparency and accountability in the implementation of the PIP program at PSP Center.
Co-Authors Alviona Marsya Ami Abdul Jabar Andysah Putera Utama Siahaan Darmeli Nasution Leni Marlina Ramli S Siburian Sitorus, Zulham Sugeng Pranoto Sulis Sutiono