Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Riset Informatika Journal of Project Management Research
Prabowo, Bagus Adi
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
SENTIMENT ANALYSIS OF PLN MOBILE APPLICATION SERVICES USING NAIVE BAYES, SUPPORT VECTOR MACHINE (SVM) AND DECISION TREE METHODS Prabowo, Bagus Adi; Hindasyah, Achmad; Khalid Rivai, Abu
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i3.378

Abstract

The advancement of information technology has driven public service providers such as PLN to introduce digital innovations, one of which is the PLN Mobile application that enables customers to access various services online. As the number of users increases, numerous reviews have been submitted through the Google Play Store platform, which can be utilized to evaluate service quality. This study aims to conduct sentiment analysis on user reviews of the PLN Mobile application using three classification algorithms: Naïve Bayes, Support Vector Machine (SVM), and Decision Tree. A total of 4,992 review data were collected and processed through text preprocessing stages, including case folding, tokenization, stopword removal, stemming, and vectorization using the TF-IDF method. The data were then split into training and testing sets with a ratio of 80:20 and trained using the three classification algorithms. Model evaluation was conducted using precision, recall, f1-score, and accuracy metrics. The evaluation results indicate that the SVM algorithm delivers the best performance with an accuracy of 94%, followed by Naïve Bayes and Decision Tree, each with an accuracy of 91%. However, all three models demonstrated limited effectiveness in detecting neutral sentiments. Based on these findings, the SVM algorithm is recommended as the most effective model for sentiment classification of PLN Mobile application reviews.
Risk Analysis to Improve Procurement Time Performance of the Construction Services Project of Air Traffic Control (ATC) Tower and Supporting Facilities Prabowo, Bagus Adi; Isvara, Wisnu; Rachmawati, Titi Sari Nurul
Journal of Project Management Research Vol. 2 No. 1 (2026): Journal of Project Management Research
Publisher : Avenew Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65303/journalpmresearch.v2i1.61

Abstract

The implementation of the procurement process for the construction services of the ATC Tower and Supporting Facilities at Perum XYZ is expected to be completed on time with the delivery of the ATC Tower infrastructure and Supporting Facilities to support optimal flight navigation services. However, in the period 2016-2023, obstacles occurred at several project locations which caused the benefits of the project development to be delayed. This study aims to analyze the dominant risk factors that affect the performance of the procurement time for the construction services of the ATC Tower and Supporting Facilities at Perum XYZ. Risk identification was carried out through literature studies and then validated by experts. Furthermore, the risks were submitted to respondents who had been involved in the procurement of construction services for the ATC Tower and Supporting Facilities at Perum XYZ and then a risk analysis was carried out by referring to the company's internal regulations related to the Company's Risk Management Policy and Guidelines. From the results of data collection and analysis, it was found that there were 5 dominant risk factors with a high risk level that affected the procurement time performance. The results of this study can be a basis for determining the development of a procurement strategy for the construction services of the ATC Tower and Supporting Facilities at Perum XYZ in improving procurement time performance
Co-Authors Achmad Hindasyah, Achmad Khalid Rivai, Abu Rachmawati, Titi Sari Nurul Wisnu Isvara, Wisnu