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INDONESIA
Justek : Jurnal Sains Dan Teknologi
Published by Universitas Muhammadiyah Mataram
ISSN : 26205475     EISSN : 26205475     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Mathematics
Arjuna Subject : -
Articles 12 Documents
 1   2 
Search results for , issue "Vol 8, No 3 (2025): September" : 12 Documents clear
Analisis dan Perancangan Desain UI/UX pada Website BKPSDM Kabupaten Karawang dengan Metode Design Thinking Prawira, Kharisma; Lutfiyana, Nur
Justek : Jurnal Sains dan Teknologi Vol 8, No 3 (2025): September
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i3.30367

Abstract

The Civil Service and Human Resources Agency (BKPSDM) of Karawang Regency is a Regional Apparatus Organization (OPD) whose duties and functions are to handle civil service administration issues for the State Civil Apparatus (ASN) in Karawang Regency. The administrative issues in question include employee procurement, employee dismissal, employee promotions, and others. Currently, the innovation that has been created and applied is the Website. This website is designed to facilitate the delivery of information regarding Civil Service Administration (ASN) in Karawang Regency. The method used in the Analysis and design uses the design thinking method. This method emphasizes in-depth understanding of users, creative ideation, and prototype iterations that focus on user feedback. This study aims to analyze the UI/UX of the BKPSDM Karawang Regency Website using the Design Thinking method. From the results of the prototype test using the System Usability Scale (SUS) method, the final score was 72, where this figure is acceptable and indicates that the design is marginal, grade B, and good. With this, the Karawang Regency BKPSDM website makes it very possible to improve the quality of UI/UX in its application. 
Klasifikasi Penyakit Kanker Paru-Paru Menggunakan Metode Decision Tree C4.5 Jainudin, Khorlis; Abdullah, Asrul; Sucipto, Sucipto
Justek : Jurnal Sains dan Teknologi Vol 8, No 3 (2025): September
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i3.31981

Abstract

The incidence of lung cancer in Indonesia has shown a significant increase, positioning the country as the eighth highest in Southeast Asia, with a growth rate of 10.85% over the past five years. A considerable number of lung cancer cases remain undiagnosed at earlier stages due to difficulties in detection, which contributes to the high mortality rate associated with this disease. Consequently, there is a need for a relatively efficient and straightforward technique to uncover knowledge, patterns, and interrelationships among data. The objective of this study is to develop a classification model for lung cancer using the C4.5 decision tree method and to evaluate its predictive performance. The methodology comprises several stages, including data preprocessing, exploratory data analysis (EDA), handling of missing values, identification of duplicate records, assessment of feature correlations, separation of features and target variables, partitioning of data into training and testing sets, model implementation, and performance evaluation through a confusion matrix. The experimental results demonstrate that the proposed model achieves a recall of 90%, a precision of 86%, an F1-score of 88%, and an overall accuracy of 89%. These findings indicate that the C4.5 decision tree method is effective in classifying lung cancer cases and holds potential as a reliable approach in medical data analysis for early detection and diagnosis.

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