PREDIKSI KINERJAATAU KETERLAMBATAN PROYEK PADA K E M E N T E R I A N K O O R D I N AT O R B I D A N G INFRASTRUKTUR DAN PEMBANGUNAN KEWILAYAHAN MENGGUNAKAN ALGORITMA DECISION TREE
- NIKE KARLINA
- 2026
ABSTRACT
Nike Karlina (19215138), Predicting Project Performance or Delays at the Coordinating Ministry for Infrastructure and Regional Development Using the Decision Tree Algorithm
Infrastructure development is one of the government’s main priorities in supporting economic growth and regional development equity. However, in its implementation, project delays frequently occur and may result in cost overruns, reduced work quality, and decreased public trust. Therefore, an objective and data-driven method is required to predict project performance or delays. This study aims to apply a classification method using the Decision Tree C4.5 algorithm to predict project performance at the Coordinating Ministry for Infrastructure and Regional Development. The data used in this study consist of 100 infrastructure project records collected from January 2024 to October 2025, with main attributes including budget, financial realization, contract duration, and project performance as the classification label. The data processing stages include preprocessing, data splitting into training and testing sets, and model evaluation using RapidMiner. The results show that the Decision Tree C4.5 model with an 80:20 data split achieved an accuracy of 73.68%. After optimization using cross-validation, the model accuracy increased to 98.00%. These results indicate that the C4.5 algorithm is highly effective in classifying project performance into Severely Delayed, Slightly Delayed, and On-Time categories. Therefore, this model can serve as a decision-support tool to assist in monitoring and evaluating infrastructure project performance more effectively.
Keywords: Data Mining, Decision Tree, C4.5 Algorithm, Project Delay, Infrastructurehttps://repository.bsi.ac.id/repo/81786/PREDIKSI-KINERJAATAU-KETERLAMBATAN-PROYEK-PADA-K-E-M-E-N-T-E-R-I-A-N-K-O-O-R-D-I-N-AT-O-R-B-I-D-A-N-G-INFRASTRUKTUR-DAN-PEMBANGUNAN-KEWILAYAHAN-MENGGUNAKAN-ALGORITMA-DECISION-TREE
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Detail Informasi
Tugas Akhir ini ditulis oleh :
- 19215138 - NIKE KARLINA
- Prodi : Sistem Informasi
- Kampus : Cengkareng
- Tahun : 2026
- Pembimbing : Yunita, M.Kom
- Kode : 0466.S1.19.SKRIPSI.II.2026
- Status Akses : Open Access
- Diinput oleh : AXD
- Terakhir update : 10 Maret 2026
- Dilihat : 13 kali