cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Abdul Khaliq
Contact Email
ysmk.official@gmail.com
Phone
+6281269617312
Journal Mail Official
ysmk.official@gmail.com
Editorial Address
Jalan Talun Kenas - Patumbak, Dusun VI Housing complex Mustofa Barkha Residence Block C1 - C2, Patumbak I Village, Patumbak District, Deli Serdang, Postal Code 20361
Location
Kab. deli serdang,
Sumatera utara
INDONESIA
The Journal of Information Technology, Computer Science, and Electrical Engineering
Published by Yayasan Sinergi Multidimensi Kreatif
ISSN : -     EISSN : 30464900     DOI : https://doi.org/10.30596/jitcse
Core Subject :
The Journal of Information Technology, Computer Science, and Electrical Engineering (JITCSE) is a premier publication dedicated to advancing research and innovation at the intersection of these dynamic fields. With a focus on cutting-edge developments and emerging trends, JITCSE serves as a vital platform for scholars, researchers, and practitioners to share their latest findings and insights. Covering a broad spectrum of topics including software engineering, artificial intelligence, network security, digital systems, and renewable energy, JITCSE showcases rigorous and impactful research that drives technological progress forward.
Arjuna Subject : -
Articles 198 Documents
 3   4   5   6   7 
Comparison of Accuracy between Naive Bayes and Decision Tree Methods for Property Tax (PBB-P2) Compliance in Tebing Tinggi City Zulham Sitorus; Sugeng Pranoto; Sulis Sutiono; Sarifuddin
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.v1i2.57

Abstract

This research aims to compare the accuracy of the Naïve Bayes and Decision Tree methods in predicting Land and Building Tax (PBB-P2) compliance in Tebing Tinggi city. The data used includes tax and payment determination for 2022 and 2023. The methods applied include data preprocessing, use of an inconvenience matrix for evaluation, as well as measuring accuracy with various data sharing ratios (80:20, 75:25, 70:30, 60:40, and 50:50). The research results show that the Decision Tree model consistently has much higher accuracy compared to the Naïve Bayes model, with accuracy reaching 99% at all data split ratios, while Naïve Bayes shows accuracy between 54% and 56%. The confusion matrix supports this finding by showing that the Decision Tree model has higher True Positives and True Negatives, and lower False Positives and False Negatives compared to Naïve Bayes. In conclusion, the Decision Tree method is more effective in classifying tax compliance compared to Naïve Bayes so that it is a more optimal choice for a tax compliance classification system based on the accuracy and performance obtained from this research.
Analysis of User Age Predictions in Public Satisfaction Surveys at Public Service Malls Using Decision Tree C4.5 Andysah Putera Utama Siahaan; Ami Abdul Jabar; Nelviony Parhusip; Maida Indrayani; Sipra Barutu
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.v1i2.58

Abstract

This research analyzes the prediction of user age in the community satisfaction survey at the Public Service Mall (PSM) in Medan using the C4.5 Decision Tree algorithm. The primary objective of the study is to understand the demographic profile of users so that service managers can tailor their approaches to meet the needs of each age group. The data used includes 14,836 respondents with relevant demographic attributes. The analysis begins with data collection and preprocessing. The modeling results indicate that the Decision Tree model is effective in classifying users into age categories, including Late Senior, Early Senior, Middle Aged Adult, Young Adult, Late Teen, Early Teen, Child, and Toddler. The findings reveal a significant concentration in the Young Adult and Early Senior groups, indicating the need for adjustments in public services. The resulting recommendations aim to enhance service responsiveness to demographic needs and improve user satisfaction as well as the effectiveness of service strategies in the future.
Analysis of Property Tax Payment Compliance Classification in Tebing Tinggi City Using the C4.5 Decision Tree Algorithm Andysah Putera Utama Siahaan; Sulis Sutiono; Sugeng Pranoto; Sarifudin; Risca Sri Mentari
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.v1i2.59

Abstract

This research analyzes property tax payment compliance in Tebing Tinggi City using the C4.5 Decision Tree algorithm. With the rapid advancement of data mining technology, this analysis utilizes classification techniques to identify compliance patterns based on property tax payment data. The research methodology involves data collection, preprocessing, and building the Decision Tree model using RapidMiner. The results indicate that the Decision Tree model can effectively predict compliance levels based on attributes such as Total_Payment and Total_Bill. Individuals with higher payment and bill values tend to be compliant, while those with lower values show less compliance. These findings provide insights for authorities to design more effective strategies to improve tax compliance and identify areas that require special attention in Tebing Tinggi City.
Incoming Mail Archiving System Using the Waterfall at the Regional Secretary (SEKDA) of the Mayor's Office of Medan Darmeli Nasution; Nasywa Rizki Fatihah; Muhammad Reendy Prayoga; Muhammad Sigit; Muhammad Naim Nasution
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.v1i2.60

Abstract

Mail archive management is a crucial aspect of efficient administration, but it often requires a structured system to ensure data accessibility and accuracy. This journal discusses the use of Microsoft Excel as a tool for mail archiving, with a focus on the application of systematic and practical management methods. Excel, as a commonly used spreadsheet application, provides a variety of features that support the management of mail archives, including table creation, data sorting, and applying filters for quick searches. In this study, we outline the practical steps in composing a mail archive using Excel, from creating appropriate templates to filling in data and utilizing Excel functions for analysis. By using Excel, mail archive management can be done at a low cost and efficient process, allowing users to track and manage mail effectively. These findings are expected to provide practical guidance for organizations looking to utilize Microsoft Excel in their mail archive management systems.
Analysis of Age and Gender Classification Using Decision Tree Model in the Context of Nursing Homes Andysah Putera Utama Siahaan; Muhammad Indra
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.v1i2.61

Abstract

By leveraging Data Mining technology, specifically the Decision Tree algorithm, this study focuses on clustering data based on age and gender to enhance the efficiency and personalization of services in nursing homes. The data used spans from January 2024 to April 2024, encompassing 333 rows that have been processed for classification purposes. The developed Decision Tree model accurately separates the data based on age, with results showing the gender distribution within each age group. These findings indicate that the Decision Tree algorithm is effective in identifying gender based on specific age boundaries, which can be applied to improve the quality and effectiveness of nursing home services. The analysis provides valuable insights for better planning and management of social services, making this approach relevant for demographic data management in nursing homes.
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 Room Allocation Based on Age in Nursing Homes Using the C4.5 Decision Tree Method Zulham Sitorus; Muhammad Indra
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.v1i2.64

Abstract

This study analyzes the effectiveness of the C4.5 Decision Tree algorithm in managing room allocation in nursing homes based on the residents' ages. Using a dataset of 333 entries, which includes age and room names, the study aims to determine the most suitable room placements. The analysis process involves preprocessing the data to simplify the dataset, followed by the application of the C4.5 Decision Tree model using the RapidMiner platform. The results indicate that the algorithm effectively classifies residents into room names such as Jambu, Nenas, Jeruk, and others based on their age. These findings provide insights into how age influences room placement in nursing homes and enable more optimal facility management. The study also recommends considering additional factors in further analyses to enhance the accuracy of resident placement.
Analysis of Nursing Home Residents' Identity Completeness Classification Using the Decision Tree Algorithm Muhammad Indra; Darmeli Nasution
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.v1i2.65

Abstract

This study evaluates the effectiveness of the Decision Tree algorithm in classifying the completeness of nursing home residents' identities based on age. The data used includes identity information from 333 residents, encompassing both Family Cards and Identity Cards (KTP). By applying the Decision Tree C4.5 algorithm, the data is classified into the categories of Incomplete, Sufficiently Complete, and Complete. The analysis results indicate that older residents tend to have less complete identities compared to younger residents. These findings highlight the effectiveness of the Decision Tree algorithm in identifying patterns within identity data, facilitating service planning and administrative management in the nursing home, and ensuring regulatory compliance. This research provides a foundation for improving identity management systems and can be used to optimize administration and protection in nursing homes.
Determining Diseases in Goldfish Using WEB-Based Forward Chaining Expert System Technology in Lawe Malum Village paisalpaisal; Supina Batubara; Rio Septian Hardinata
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.v1i2.66

Abstract

Type lots of fish cultivated by farmer fish is Goldfish caused​ because convenience in cultivated and marketed Because many can​ utilized from Goldfish . That problem often happen is farmer goldfish are not in a way routine do maintenance cause fish caught disease . Case the caused because farmer Still lay to symptom and type disease in cultivation goldfish , so make easy goldfish​ attacked disease . This matter make farmer difficulty in handling to disease that arises exercise symptom Because limited knowledge . Limitations expert in field knowledge cultivation fish sir is Wrong One frequent problem​ found in various area . Study This aim For identification disease on goldfish use​ technology system Forward Chaining expert based symptoms And designing System Expert in identify disease And method treatment on goldfish . Necessary data moment study This is data type symptom And type disease based on symptom on goldfish , symptom data and treatment data take sourced decisions​ from expert cultivation goldfish from​ a school teacher Intermediate Vocational major cultivation fishery and the data obtained from Service Municipal Fisheries . Based on the data provided by expert , expert own method taking decision , that is gather facts moreover formerly For reach something conclusion or decision , so technology system expert can used For do study This . Stages processing the data like prepare data input, tables decision experts , determine rules, carry out tracking processes , create decision tree And results tracking . The results obtained succeed find disease based on existing symptoms​ And can found as well as solution step beginning For handling to disease goldfish . Results test try doing that with compare data with system that has designed own level very accuracy​ Good .
Random Video Call and Chat Application Using Web RTC and Firebase Based on Mobile Tengku Luthfi Davyan; Leni Marlina; Abdul Khaliq
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.v1i2.67

Abstract

Humans as social beings, require communication and interaction. Communication technology found in smartphones plays a crucial role in accelerating access to social media. However, traditional social media often only provides written and asynchronous communication, which can reduce the motivation to participate. This research aims to develop a mobile application that integrates video call and random chat features using WebRTC and Firebase technology. The research method includes developing the application using React Native as the framework, Firebase for real-time database management and authentication, and WebRTC for handling real-time video communication. The research results show that the developed application can provide optimal performance in terms of latency and video call quality, as well as functional login, registration, chat, and video call features. This application opens the door to more direct, interactive, and natural human engagement by offering a more spontaneous and unpredictable meeting experience. The conclusion of this research is that integrating WebRTC and Firebase in the development of video call and random chat applications can provide an efficient and enjoyable communication experience for users.Application

Page 5 of 20 | Total Record : 198

 3   4   5   6   7 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2026): February-May 2026 Vol. 2 No. 3 (2025): October 2025 - January 2026 Vol. 2 No. 2 (2025): June-September 2025 Vol. 2 No. 1 (2025): February-May 2025 Vol. 1 No. 3 (2024): October 2024 Vol. 1 No. 2 (2024): June-September 2024 Vol. 1 No. 1 (2024): February-May 2024 Vol. 1 No. S1 (2024): Special Issue